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Dietary Approaches to Stopping Hypertension (DASH) Mobile App Study
Danielle Sundermier
Major: Biology with Specialization in Neurobiology
11/10/14
BI 495
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Abstract:
Backround: Hypertension refers to the blood pressure in the arteries being too
high; this prolonged increased pressure can lead to a variety of medical problems, the
most prominent being cardiovascular disease (CVD). While pharmaceutical treatments
for hypertension have been introduced, they are often cost-ineffective. The Dietary
Approaches to Stopping Hypertension (DASH) eating plan and behavioral change
interventions have been shown effective in reducing blood pressure in a more cost
efficient way.
While these methods are oftentimes more cost-effective, they also have higher amounts
of data inaccuracies due to the need for participants to self-report their progress. In our
study, we avoid this issue by having our data sent to us objectively from the machines
themselves. We believe our intervention will be successful due to the convenient
mHealth platform, objective data analysis, and our ability to tailor the intervention to
each individual participant.
Goal: We aim to see if our 12-week mHealth-based behavioral change
intervention with a primary expected outcome of reducing blood pressure, and a
secondary outcome of behavioral changes regarding nutrition and physical activity will
be successful. Quantitative success will be measured by objective data sent by blood
pressure monitors, and qualitative success will be measured by the comparison of
answers on the baseline and closeout questionnaires.
Materials: For this intervention we have created an application for participants to
track their diet, weight, blood pressure, and physical activity daily for a period of 12
weeks. Throughout the duration of the study, the participants will also have weekly
contact with a health counselor who will communicate with them via phone calls and a
text chat to discuss nutrition and physical activity as it pertains to the DASH eating plan.
Methods: Our subjects are between 18-64, use a smartphone, and have been
previously been given a diagnosis of either pre-hypertension or hypertension, with 3/6
(50%) of them currently receiving treatment via pharmaceutical methods for
hypertension. The subjects were recruited via posters at both BU/BUMC, staff emails
sent to BUMC/BMC faculty, craigslist, and the BU Student Link job boards.
Results: The current 6 enrolled participants (16.67% of the 36 eligible and
screened participants) have a baseline mean (SD: 13.83) age of 41.83 years, weight (SD:
36.41) of 176.50 lbs, Systolic blood pressure (SD: 6.98) of 125.33 mmHg, and Diastolic
blood pressure (SD: 6.72) of 81.33 mmHg.
Conclusion: For successful results we expect a decrease in blood pressure and an
improvement in nutrition and physical activity habits. We plan to continue enrollment via
the aforementioned methods until we reach a number of 30 active participants.
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Introduction:
Hypertension is a condition in which the pressure, or force, of blood on the artery
walls becomes elevated enough to cause stress to the heart, leading to more serious
cardiovascular problems, the most prominent being Cardiovascular Disease (CVD)
(Mayo Clinic, 2014). Blood pressure is determined by both the cardiac output (CO) of
the heart as well as the total peripheral resistance (TPR) to flow of the blood vessels
(Widmaier et al., 2014). While resistance is more commonly thought to have a greater
impact on blood pressure, it has recently been found that increased CO also induces
Hypertension (Lucking et al., 2014). The American Heart Association considers
Hypertension as a systolic blood pressure above 140mmHg, a diastolic blood pressure of
about 90 mmHg, or as being told twice by a physician that their blood pressure is
elevated (2013). The systolic blood pressure refers to the pressure of the arteries while
the ventricle is in the “contracting” phase; the diastolic blood pressure refers to the
pressure when the ventricle is in the “filling” phase (Widmaier et al., 2014).
Hypertension is categorized into two classes: Primary (Essential) Hypertension
and Secondary Hypertension. The causes for Primary Hypertension are unidentified, but
can oftentimes be attributed to extrinsic or environmental influences, which initiate the
chain of events eventually leading to the chronic increase in pressure. Secondary
Hypertension is when there has been a specific and identified interference that caused the
chronic increase in blood pressure (Folkow, 1982). While less is known about what
causes Primary Hypertension, it is seen more commonly, representing about 90% of
Hypertension cases, while Secondary only represents around 10% (Widmaier et al.,
2014).
According to the 2013 statistical fact sheet for Hypertension, provided by The
American Heart Association, there are 77.9 million Americans who currently have high
blood pressure; this is equivalent to a proportion of 1/3 of Americans. Furthermore, of
these 77.9 million, only 81.5% are aware of their condition, and of those aware of their
condition only 52.5% have it controlled. This means nearly half (47.5%) of those affected
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by Hypertension do not have it controlled. It is estimated that in 2030 the number of
Americans affected by Hypertension will increase by 5.61 million, or 7.2% (of the
current 77.9 million affected) (2013).
The American Heart Association currently estimates that the overall cost of
treating high blood pressure in the United States is $51 billion (2013). The major
pharmaceutical treatments involve blocking Beta-Adrenergic receptors, Angiotensin
Conversion Enzyme (ACE) inhibitors, and Calcium Channel Blockers. These
medications have been shown to be effective in lowering blood pressure, however, their
relative value in comparison to how much they cost is still unclear (Furberg et al., 2002).
In 1995, the average cost for managing Hypertension via pharmaceuticals within the first
year of diagnosis was $947, $575 in the second year, and $420 for all subsequent years
(Odell, 1995).
Though the causes of Primary Hypertension are unknown, evidence has shown
that increased sodium intake corresponds to a subsequent rise in blood pressure (Folkow,
1982). In a proceeding of a briefing from the Nutrition Society, there was a request to
increase the amount of controlled trials that specifically support dietary approaches to
preventing cardiovascular disease (Williams et al., 2013). The Dietary Approaches to
Stopping Hypertension (DASH) eating plan is a nutritional regimen that is supported by
research studies funded by the National Heart, Lung, and Blood Institute (NHLBI). It
places an emphasis on eating vegetables, fruits, and low fat dairy products to increase
potassium, calcium, magnesium, fiber, and protein levels within the body. In contrast, it
discourages sodium, saturated fat, and trans fat intake by limiting sweets, sugary
beverages, and salty foods (NHBLI, 2014). Studies have also shown that the combination
of utilizing the DASH eating plan while minimizing sodium intake to about 50 mmol per
day has the greatest effects on lowering blood pressure (Sacks, 2001). In addition to the
DASH eating plan while maintaining a reduction in sodium intake as a means for
reducing Hypertension, national guidelines recommend the integration of weight-loss and
exercise as a treatment for Stage 1 Systemic Hypertension, equivalent to a blood pressure
of 140mmHg/80mmHg (Moore et al., 2001).
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The effectiveness of the DASH eating plan then raises questions about why it
isn’t more regularly used as a treatment instead of expensive pharmaceutical techniques.
The most probable explanation is because of the intensive self-restraint and self-
adherence associated with maintaining the eating plan, as well as regular exercise. In a
study conducted by Thomas Moore in 2001, he found that an 8-week long behavioral
intervention produced immediate results in lowering blood pressure, which lasted for
around 18 months. But as the time post-intervention increased to 36-months there was a
decrease in the after-effects, which he attributed to waning self-adherence (Moore, 2001).
mHealth is the growing field of Public Health, defined as “medical and public
health practice supported by mobile devices, such as mobile phones, patient monitoring
devices, personal digital assistants (PDAs), and other wireless devices” (World Health
Organization, 2011). With the increasing use and integration of smartphones and
technology in daily life, there has been a subsequent rise in the relevance of mHealth.
This is enhanced by increasing development of health tracking smartphone applications,
and the growth of the “Quantified Self” movement, a movement promoting self-
awareness via daily tracking of habits.
Our project involves the use of an mHealth platform, utilization of a developed
self-tracking application, the aforementioned DASH eating plan and a tailored life-style
change intervention provided to the participant by a trained health counselor. We aim to
see if our 12-week mHealth-based behavioral change intervention will be successful in
producing the primary expected outcome of reducing blood pressure along with a
secondary outcome of positive behavioral changes regarding nutrition and physical
activity. This study serves as a pilot study, and therefore aims to see if there is viable
evidence of effectiveness to continue this research onto a larger scale. While there have
been prior behavioral change interventions related to diet management, as well as
Hypertension, to our knowledge the presence of one that integrates both diet and
Hypertension management with a patient tailored intervention on a mHealth platform is
non-existent.
We have chosen an mHealth platform due to its ability to be easily integrated to
daily life. As of January 2014, 58% of Americans have a smartphone, with 29%
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describing their dependency on their smartphone as “something they could not live
without” (Pew, 2014). The increasing relevance of smartphones in daily life has allowed
for the hypothesis that the intervention will be the most effective on an mHealth platform
because it maximizes participant- counselor accessibility. There has also been prior
evidence proving the effectiveness of mHealth interventions. In a 2014 smartphone based
Diabetes study, the participants were found to have improved management of their
diabetes, as well as increased knowledge of what they should and should not be doing to
manage their disease (Wayne).
We have chosen a participant-tailored approach to the behavioral intervention; the
option to do this was made possible by the aforementioned mHealth platform. A
participant-tailored intervention includes using personalized information, such a patient’s
name, gender, their “perceived barriers,” and their willingness to change their behaviors.
(Quintiliani et al., 2005). It has been shown that “mobile technologies complement health
coaching by enabling patients and coaches to maintain multiple channels of contact via
remote monitoring, voice, and text message communications” (Wayne, 2014). By
allowing constant and personalized interaction, the health counselor will gain a better
understanding of the participant’s personality and can therefore tailor the intervention to
best fit their needs. Apart from its integration with mHealth, tailored interventions have
been proven to be more efficiently remembered by the participant and more relevant to
the participant’s life than non-tailored interventions (Quintiliani et al., 2005).
One of the main barriers in reducing Hypertension is the expensive cost of
pharmaceutical treatments. Therefore, a main goal of the study is to help transform the
DASH eating plan to a cheap, accessible, and universal program to assist those who can’t
afford pharmaceuticals as a method to treating their high blood pressure. The mHealth
platform allows for this because of its immediate and inexpensive patient-intervention
relationship (Wayne, 2014). The main way the participants will receive the intervention is
via phone-calls and an in-app chat function, making it available to virtually all
smartphone users at a minimal cost, provided that their calling and messaging costs are
already paid for in their cell phone bills.
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The primary goal for the study is the reduction of high blood pressure, and the
secondary outcome is to analyze the effectiveness of the behavioral intervention by
tracking the eating, drinking, and physical activity changes of the participants, as well as
any changes in their psychosocial traits. This project has been approved by the
Institutional Review Board at Boston University Medical Center, and contains no
Conflicts of Interest. The procedures of obtaining data as well as storage of data are
HIPPA compliant.
Materials
This study consists of a 12-week mobile application based intervention. For the
12 weeks in which a participant is enrolled, they will be expected to track their diet,
weight, blood pressure, and physical activity. They will also receive bi-weekly
counseling sessions from a health counselor, revolving around different topics in nutrition
and physical activity as they pertain to the DASH eating plan.
For this study we developed a cell phone application, which is compatible with
both the iOS and the Android 4.0 operating systems. This application was developed via
utilization of team members with specializations spanning over a variety of different
fields, such as primary care, computer science, nutrition, and human-computer
interactions (Mann, 2013). The application was designed specifically for use in our study
and is comprised of five main screens: portion tracking, goal setting, progress, resources,
and a chat screen. The application was designed to be simple in its appearance as to
appeal to participants with different ranges of exposure to technology.
The home screen of the application is comprised of the portion-tracking page. On
this screen each food group is shown in a box proportionally sized to the amount of
servings per day that should be consumed. To track their diet, the participant taps the box
of the food group that they just ate, with each tap adding one serving of that food to their
intake for the day. To find the portion size for a specific food group, the participant can
hold down the respective icon and a notification will appear listing its portion size
information. The color of the icon of the food group will change as the number of
servings consumed approaches its daily limit. Once the limit is surpassed the icon will
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turn red. To erase an incorrectly tracked serving, there is a minus sign icon located in the
top left corner of the home screen which allows the participant to quickly delete a serving
size from a particular food group. Once the food intake is recorded for the day, a green
check will appear next to the word “diet” on the top of the home screen.
Throughout their time in the study, the participant will set bi-weekly goals with
the health counselor during their counseling sessions. To view these goals there is a
“goals” screen on the application, which lists all previous goals, as well as current goals.
There is also a screen that allows the participant to graphically see their progress
throughout the study. On this “progress” screen the participant can look at their progress
regarding their weight, blood pressure, physical activity and diet over the course of either
the week, month, or entire duration of the study.
The final two screens on the application comprise of the “resources” screen and
the “chat” screen. The “resources” screen has a library of videos developed by the staff to
help explain some concepts pertaining to the DASH eating plan. For example, there is a
set of videos, which explain portion sizing in each of the different food groups. In
addition to the videos the “resources” page also contains a list of web-links that the health
counselor has deemed as relevant and useful for understanding the basics of the DASH
eating plan. Should the “resources” page not answer the participant’s question; there is
also a chat function within the application, which allows the participant to quickly send
the health counselor any immediate questions they may have.
In addition to the DASH application, a web-based portal was also developed. This
portal is the main storage unit for the data regarding the participant’s weight, blood
pressure, and physical activity. The portal is how the health counselor can monitor the
participant’s progress, input their goals as well as mark prior goals as completed The
portal also allows the health counselor to send messages to the participant.
In order to track their weight, blood pressure, and physical activity, the
participants are given a set of Bluetooth enabled devices. They are given an A&D ProFIT
Precision Personal Health Scale to track their weight, an A&D Easy One Set Blood
Pressure Monitor to track their blood pressure, and a fitbit flex monitor to track their
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physical activity. The fitbit monitor will push data to the DASH application whenever it
is opened via a coding sequence developed by the principle software engineer. In order to
sync the scale and blood pressure cuff, the participant must take their weight or blood
pressure while the application is open. Upon a successful sync the application will pop-up
a notification stating “alert: blue-tooth syncing.” When each category is successfully
synced, a green check mark will show up on the application.
There are three health counselors who are trained in both the DASH eating plan
and in using a technique called “motivational interviewing.” They administer the
intervention to the participants. Each participant is assigned a health counselor, with
whom they have bi-weekly phone counseling (synchronous) sessions with, and bi-weekly
messaging (asynchronous) sessions. In addition to hosting those two types of counseling
sessions, the health counselor is also available to the participant throughout the day via
the chat function within the application.
The intervention itself is tailored to the participant based on their responses on the
baseline questionnaire. This questionnaire utilizes questions pertaining to the
participant’s demographics, their current behavioral habits and their current psychosocial
status. For tracking behavioral habits, we utilized the PrimeScreen dietary screening tool,
which is a proven and reproducible dietary questionnaire which allows the quality of an
individual’s daily food intake to be ranked (Rifas-Shiman, 2000). To assess the
participant’s intake of sugary drinks, we utilized the beverage intake questionnaire, or
BEVQ, which is a proven reliable indicator of daily beverage intake (Hedrick et al.,
2010). The behavior section of the questionnaire also includes questions about the
participant’s sleep quality and how often they participated in physical activity or strength
training. For the psychosocial portion, we utilized the Transtheoretical Model (TTM) of
psychosocial analysis, as well as the Perceived Stress Scale (PSS). The TTM observes the
stages of change that the participant goes through while they are competing the
intervention. The six stages of change associated with TTM are pre-contemplation,
contemplation, preparation, action, maintenance, and termination (Prochaska, 1997). We
also utilized the PSS, which measures both event specific and globalized stress levels in
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participants, and the degree to which everyday situations in life are perceived as stressful
(Cohen, 1983).
The closeout questionnaire is similar to the baseline in that it asks all the same
demographic, behavioral and psychosocial questions. However, it also contains several
questions about the participant’s complacency with the study, such as how often they
spoke with their health counselor, how often they messaged her, how they felt about goal
setting, how helpful the goal setting was, and what they would want to change about the
study. We included these questions to gain perspective on what to change in order to
improve the application and the intervention in the future.
Methods:
Figure 1: The flow of information in the DASH study,the participant inputs their data into the DASH
application, which then gets sent to the DASH portal for the counselorto analyze and send feedback back
to the participant
Participant
Tracking
-Bluetooth
-Weight
Physical
Activity
-Diet
DASH Application
DASH Portal Counselor
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The overall process of a participant going through the DASH study consists of 6 major
steps:
1. Initial recruitment
2. Successful initial screening
3. Baseline visit to BMC to become officially enrolled in the
study
4. 12-weeks of active study participation
5. Final visit to BMC
6. Data analysis
This study recruited individuals who are between 18-64 years, living in the
greater Boston area, have previously been given a diagnosis of hypertension and own a
smartphone. Participants have been recruited via flyers, advertisements in weekly emails
sent to BUMC/BMC staff, postings on both Study Finder and the ReSPECT registry,
postings on craigslist, and postings on the Boston University job boards website.
Recruitment has currently brought in 36 interested participants, and we have 6 currently
enrolled participants. We plan to continue recruitment until we have had 30 participants
successfully complete the trial. During the recruitment process, if we receive an
interested email from a potential participant we respond to them with a generic email
stating the eligibility requirements, as well as a phone number to call us at if they are
interested in participating.
Once a call is received, or a call is made to an interested participant the initial
phone screening occurs. This phone screening serves as the initial process in determining
eligibility. The participant is asked if they have ever been given a diagnosis of
Hypertension, or if they are currently on Hypertension medication. We ensure that they
have Primary Hypertension and that their high blood pressure is not attributed to a known
cause, such as kidney disease or renal failure. It also questions any other pre-existing
health conditions that could prevent the participant from successful completion of the
study, such as arthritis, which would impair their ability complete the physical activity
portion of the study. It also rules out any women who are pregnant or breast-feeding,
whose consequential hormonal changes could interfere with their blood pressure. Lastly,
it ensures that the potential participant has a smartphone and lives in the Boston area. If a
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participant meets the criteria for eligibility from the phone screening they will then be
asked to schedule a baseline visit to come in for official study enrollment. The time
between their initial phone screening and their baseline visit is normally anywhere
between 2-3 weeks.
The initial baseline visit provides the staff with important information about the
participant; it is conducted in a series of 8 major steps:
1. Informed consent is obtained from the participant
2. The participant’s blood pressure is taken to ensure they meet the
requirements
a. Systolic <120mmHg if they are on blood pressure
medication
b. Systolic >120mmHg if they are not on medication
3. The participant takes a guideline questionnaire to ensure eligibility
4. The participant takes the baseline questionnaire
5. The participant has their baseline weight recorded
6. The application is loaded onto the participant’s phone and the
participant is given study devices
7. The participant meets with the health counselor and research
assistant
8. The participant receives their initial compensation
The baseline visit is the first of two times that the participant is asked to come into the
lab. Upon arrival they are (1) taken through the informed consent document and are asked
if they have any questions about the study. (2) They then have their blood pressure tested
by the research assistant, to ensure eligibility. If they have a normal systolic blood
pressure (<120 mmHg) but have shown proof of their medication they can be enrolled,
otherwise, they must have a systolic blood pressure of at least 120 mmHg, indicating a
diagnosis of pre-hypertension. If their blood pressure is in a dangerous range (>140
mmHg) they are referred to Devin Mann, MD., the primary care physician on staff. Once
their blood pressure is deemed to be in an acceptable range, they are then asked to (3) fill
out a guideline questionnaire; this is separate from the baseline questionnaire mentioned
in the “materials” section. This guideline questionnaire ensures that the participant has
room for improvement in their life pertaining to diet and physical activity. In order to be
eligible they must fall below two of the behavioral guidelines on this questionnaire. Upon
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successful completion they are then asked to (4) take the baseline questionnaire, which
gives the health counselor information about their demographics, behaviors, and
psychosocial traits. After they complete the baseline questionnaire the research assistant
then (5) weighs them to record a baseline weight to input into the application. The
research assistant then (6) collects the participant’s phone to load the application via
Xcode and pairs the Bluetooth devices to the participant’s phone. During this time the
participant (7) meets with the health counselor for the first time to schedule their
counseling sessions. The health counselor will also give the participant information
sheets with instructions on how to use the application, different recommended portion
sizes, and more information about the DASH eating plan. After meeting with the health
counselor the participant will meet with the research assistant for an overview on how to
use the study devices. The participant will also receive an information sheet with
instructions on how to use and sync the devices. (8) The research assistant will also give
the participant their initial compensation of $25.
Over the course of the 12-weeks of the study the participant receives a series of 7
motivational interviewing (MI) sessions with the health counselor. During each
counseling session the participant talks with the health counselor about one of the
following topics:
1. Physical activity
2. Fast food
3. Drinking
4. Physical activity
5. Fruits and vegetables
6. Cooking
7. Snacking
In their baseline survey, the participant chooses which order they want to talk about each
the topics. However, physical activity is the first topic for every participant. The
counseling sessions are conducted using a technique know as motivation interviewing,
which has been shown effective in studies involving weight loss. It is a counseling
technique that “seeks to resolve ambivalence and increase motivation for change by
eliciting self-motivational statements, or change talk from clients” (Quintiliani et al.,
2008). It includes both “synchronous” interviewing, which refers to interviewing done in
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real time, as well as “asynchronous” messaging, which refers to chat messages that the
health counselor sends out. During these counseling sessions, which occur bi-weekly and
last for around 15-20 minutes, the health counselor focuses on having the participants
reflect on their current habits. She also has them set small, attainable goals in order to
motivate them to change certain daily habits. The goal of these sessions is to have the
participant elicit a want to change. Their phone calls are recorded so that the health
counselor can reflect on them and so that they can be later analyzed for effectiveness. In
addition to these bi-weekly phone sessions, participants will also receive “asynchronous”
messages from the health counselor during the weeks in which there are no scheduled
counseling sessions. These messages are mainly reminders to the participant of what their
goals are and to encourage them to keep working towards them.
While enrolled in the study the participants are expected to track their diet,
weight, blood pressure, and physical activity. They do all of the following directly
through the application. The procedure in which participants track their diet is described
in the “materials” section. Participants are expected to input their diet either after every
meal or at the end of the day. To track their physical activity they are expected to wear a
fitbit fitness monitor daily, either on their wrist or clipped onto their belt. Notifications
about the battery level of the fitbit device are forwarded to the lab staff, and the health
counselor will utilize the chat function in the application to inform the participant of
when to charge it. During the baseline visit the participants are shown how to take their
blood pressure via the A&D monitor that we provide them with. Before enrollment into
the study the participant must demonstrate proficiency recording his/her own blood
pressure. They will be expected to take their blood pressure at least once daily, anytime
throughout the day, utilizing the syncing method described in the “materials” section.
Tracking their weight on the scale follows the same previously mentioned procedure.
They will be expected to record their weight at least daily, utilizing the same syncing
method. The information from the devices automatically gets pushed into the DASH
portal to allow the health counselor to access it. If she sees that they are not inputting
their data on a daily basis, she will either utilize the chat to question their tracking habits
or will bring attention to the issue in their next phone call. Similarly, if she notices that a
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participant is tracking their information daily and showing significant improvement, she
can use either of those two functions to praise the participant.
The final visit is the second time that the participant is asked to come into BMC.
During this visit they return their study devices, have the application deleted from their
phone, complete a baseline questionnaire and receive study compensation. The final
questionnaire, as described in the “materials” section, is similar to the baseline
questionnaire, but also contains questions about the participant’s thoughts on their time in
the study. The final compensation for the study comes in two parts: $50 for returning the
study devices, and $25 for successful completion of the study.
To analyze data we will quantitatively look at the numerical changes in blood
pressure, weight, physical activity, daily food intake, and daily sugary beverages intake.
Qualitative changes will also be measured; this will be done by looking at any changes in
responses to questions regarding the psychosocial models of TTM and PSS on the
baseline questionnaire versus the final questionnaire. The data will be analyzed via
statistics based software, such as SAS. The final blood pressure, weight, and minutes
spent doing physical activity will be averaged and compared to the baseline values. The
food and beverage intake will be scaled, averaged and compared using the scaling
method described in the “results” section. A similar scaling technique will be used for the
psychosocial behavior questions (PSS and TTM), which is discussed in the “results”
section as well.
Results
The following results came from the responses to the baseline survey (supported
by Qualtrics software) that the participants are asked to fill out during their baseline visit.
The 6 participants we currently have enrolled (20% of the total eligible 30
participants, and 16.67% of the total 36 screened participants) have a mean (SD: 13.83)
age of 41.83 years, with the youngest participant being an outlier at 23 years. There is an
equal amount of both males and females (n=3 males, n=3 females). There is also an
equality in the ethnicities the participant identify themselves as, with n=2 (33.33%)
identifying themselves as White, n=2 (33.33%) identifying as Black or African
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American, and n=2 (33.33%) identifying as Asian or Pacific Islander. 16.7% (n=1) of the
participants have had 12 years of schooling, and 83.3% (n=5) have had 16+ years. 50%
(n=3) of the participants are married, and 50% (n=3) are single. 83.3% (n=5) of the
participants are currently working full-time, while 16.67% (n=1) are currently working
part-time.
When asked if there had been a time in the past 12 months when they had been
unable to pay for medication, 83.3% (n=5) responded with no, and 16.67% (n=1)
responded that they had not been prescribed medicine in the past 12 months. None of the
participants have had any food shortages in the past 12 months, and only n=1 (16.67%)
participant responded that they had other health issues apart from Hypertension. n=3
(50%) of participants have been previous tobacco users, and n=3 (50%) have not used
any tobacco products in the past.
When asked about their current exposure to technology all (n=6) of the
participants responded that they use the internet, email, smartphone applications, and
access email on their smartphone at least occasionally. Only n=1 (16.67%) of participants
had previously used their smartphone for health tracking applications, and none (n=0)
were currently receiving any sort of text alert from their doctors.
The mean (SD: 36.41) weight of the participants was 176.50 pounds. The
American Heart Association defines normal blood pressure as <120 mmHg (systolic) and
<80 mmHg (diastolic), with the range for a diagnosis of Pre-Hypertension starting at 120
mmHg (systolic) and 80 mmHg (diastolic). Our participants have a mean (SD: 6.98)
systolic blood pressure of 125.33 mmHg and a mean (SD: 6.71) diastolic blood pressure
of 81.33 mmHg, which is equivalent to a diagnosis of Pre-Hypertension.
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Table 1: Characteristics of participants currently enrolled in the DASH study
Characteristic n= 6
Weight, pounds, mean (SD) 176.50 (36.41)
SystolicBP, mmHg, mean (SD) 125.33 (6.98)
DiastolicBP, mmHg, mean (SD) 81.33 (6.71)
Age, years, mean (SD) 41.83 (13.83)
Sex n=6
Male 3
Female 3
Race n=6
White 2
Black or African American 2
Asian or Pacific Islander 2
Level of Education n=6
12 Years 1
16+ Years 5
Marital Status n=6
Single 3
Married 3
Current Work Status n=6
Working Full-Time 5
Working Part-Time 1
Type of Health Insurance n=6
Private 5
N/A 1
Been unable to pay for medication in the past 12 mo n=6
No 5
Not Prescribed 1
Food shortages in the past 12 mo n=6
No 6
Internet Usage n=6
At least occasionally 6
OtherDiagnosedHealth Issues n=6
N/A 5
High Cholesterol 1
Previous Tobacco Use n=6
No previous use 3
Prior usage, but not currently 3
Usage of Email n=6
At least occasionally 6
Usage of Email/Internet on a Smartphone n=6
At least occasionally 6
How often Email is accessed n=6
Several times a day 6
Usage of Smartphone to download applications n=6
Yes 6
Usage of health tracking applications n=6
Yes 1
No 5
Currently receiving text updates/ alerts from your Doctors n=6
No 6
Currently on high blood pressure medication n=6
Yes 3
No 3
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The daily food intake (Table 2a) was recorded and scaled via the PrimeScreen
method proposed by Rifas-Shiman in 2008. This method scales the number of food
servings by assigning a value based on the number of times they were eaten per week,
and then averages them by the number of participants in the trial (n=6). The same method
was utilized for determining the number of times per day the participants engaged in
certain food behaviors (Table 2a). The assigned values are as follows:
Less than once per week: .03
Once per week: .14
2-4x per week: .43
Nearly daily or daily: 1
2x+ daily: 2.5
The daily intake of beverages (Table 2c) were recorded and scaled via the BEVQ
questionnaire, developed by Hedrick in 2010. To scale this the values were converted to
the number of times the participant drank the specified beverage each day, and then
multiplied by the number of consumed fluid ounces of the beverage. This value was then
averaged over the value of n=6 to obtain the amount (in fluid ounces) of each beverage
consumed per day. These results are summarized in Table 2c.
Table 2b summarizes the participant’s engagement in physical activity over the
past month. All participants (n=6) have previously participated in physical activity in the
past month, with n=3 (50%) participating in it 1-2 days per week, n=2 (33.33%)
participating in it 3-5 days per week, and n=1 (16.67%) participating in it for more than 5
days a week. When asked for the amount of time each participant engaged in the
aforementioned physical activity, n=3 (50%) participated in it for less than 30 minutes,
n=1 (16.67%) participated in it for between 30-60 minutes, and n=2 (33.33%)
participated in it for 150-250 minutes. When asked about how often each participant
utilized strength training n=4 (66.67%) said never, and n=2 (33.33%) responded with 1-2
times a week.
Table 2d summarizes the participant’s perceived sleep behavior. The participants
had a mean (SD: 7.53) of 11.67 days per month without an adequate amount of rest, and a
mean (SD: 1.10) amount of 7.00 hours of sleep per night
19
Table 2: Current behaviors of participants enrolled in theDASH study
Behaviors of participants n=6
(2a) Food Intake Number of servings per day
Fruit and Vegetables 1.24
Dairy Products 1.95
Whole grain foods .648
Pasta, rice, and noodles .593
Baked products .410
Beef, pork, or lamb as a main dish .115
Processed meats .067
Fish or seafood .133
Fried foods .115
Food Behaviors Number of times per day
Addition of salt to foods .192
Eating out (including fast food) .097
Cooking meals at home 1.31
(2b) Participation in physical activity over the past month Yes (n=6)
Amount of times per week n=6
1-2 days 3
3-5 days 2
> 5 days 1
Amount of time spend on activity n=6
<30 minutes 3
30-60 minutes 1
150-250 minutes 2
Amount of times per week strength training n=6
None 4
1-2 times 2
(2c) Beverage Intake Number of fluidounces per day
Water 39.6
100% Juice 1.73
Sweetened juice .867
Whole milk .112
2% (reduced-fat) milk .030
1% (low-fat) milk .922
Regular soft-drinks .354
Diet soft-drinks .541
Beers, Ales, Wine Coolers, Non-Alcoholic &Light Beer .097
Wine .193
Hard Liquor .030
Energy and Sports Drinks .360
Tea/Coffee with cream/sugar 12.6
Tea/Coffee without cream/sugar .667
Other 0
(2d) SleepBehavior Mean (SD)
Days in a month without enough rest/sleep, mean(SD) 11.67(7.53)
Hours of sleep in a 24 hour period, mean(SD) 7.00(1.10)
20
Table 3a summarizes the participant’s responses to the TTM of psychosocial
traits. The TTM attempts to track the participant’s willingness to change, and is measured
in 6 successive steps: pre-contemplation, contemplation, preparation, action,
maintenance, and termination. n=1 (16.67%) participant stated that they were in the “pre-
contemplation” stage. This is seen as the stage where “people do not intend to take action
in the very near term.” n=1 (16.67%) participant stated they were in the “contemplation”
stage, which is when the participant is willing to change their behavior in the next 6
months. n=2 (33.33%) participants stated they were in the “preparation” stage, where the
participant is expected to be willing to make changes soon (within the next month). n=1
(16.67%) participant stated that they are in the “action” stage, indicating that they have
“made specific, overt modifications in their lifestyles within the past 6 months.” n=1
(16.67%) have stated that they’re in the “maintenance” stage, indicating they have
already “made specific, overt modifications in their lifestyles and are working to prevent
relapse.” The “termination” stage indicates a state of “zero temptation and 100%
efficacy,” n=0 participants stated that they were in this stage (Prochaska, 1997).
Table 3b summarizes the participant’s perception of stress within their life, by
utilizing the PSS. This survey questions how participants feel about managing stress in
their lives by asking four basic questions (Cohen, 1983):
1. In the last month, how often have you felt that you were unable
to control the important things in your life?
2. In the last month, how often have you felt confident about your
ability to handle you personal problems?
3. In the last month, how often have you felt that things were
going your way?
4. In the last month, how often have you felt difficulties were
piling up so high that you could not overcome them?
Each response was given a numerical value, and these values were averaged over the
number n=6 to get the mean amount of stress perceived by each participant. The values
were assigned based on the scaling below:
Never: 0
Almost never: 1
Sometimes: 2
21
Fairly often: 3
Very often: 4
Table 3: Psychosocial characteristics of currently enrolled DASH participants
(3a) Transtheoretical Model (TTM) n=6
Pre-contemplation 1
Contemplation 1
Preparation 2
Action 1
Maintenance 1
(3b) Perceived Stress Scale (PSS) Frequency offeeling (mean, SD)
Felt unable to control the important things in their life 1.67(.943)
Felt confident in ability to handle personal problems 2.83(1.34)
Felt things were going their way 3.33(.745)
Felt difficulties were piling up so high they could not
overcome them
.667(.745)
Discussion
According to the 2013 State Indicator report, provided by the Center for Disease
Control (CDC), the median amount of fruit intake for an adult in Massachusetts is 1.2
servings, while the median vegetable intake is 1.7 servings, averaging to a mean intake of
1.45 servings of fruits and vegetables per day. The mean daily fruit and vegetable serving
within our range of participants was 1.24, indicating a value below the state median. The
recommended amount of grain servings per day is 6-11 servings, whereas our participants
averaged a value below that, of 1.241 (combined grains, pasta, rice, and noodles) servings
per day. The recommended dairy is 2-3 servings per day, our participants were nearly in
this range by averaging a number of 1.95 servings per day (Muñoz, 2014).
According the American Heart Association, “To promote and maintain health, all
healthy adults aged 18 to 65 yr need moderate-intensity aerobic (endurance) physical
activity for a minimum of 30 min on five days each week or vigorous-intensity aerobic
physical activity for a minimum of 20 min on three days each week” (2007). According
to these guidelines, 50% (n=3) fall below guidelines for the amount of days spent doing
physical activity per week, and 50% (n=3) fall below guidelines for the amount of time
per week spent doing physical activity.
22
The National Sleep Foundation recommends anywhere between 7.5-9 hours of
sleep per night, our participants have averaged 7 hours of sleep per night. Sleep could
potentially be an important variable in our reseach because in a study done in 2009 by
Buxton, it was shown that more adequate sleep lead to workers making healthier choices
in regards to their food intake.
The recommendation for the daily fluid ounces of water currently stands at an
amount of 125 ounces for men, and 91 ounces for women. Our participants fell greatly
below this level by consuming around 40 ounces per day. However, our participants
drank less than recommended limit for coffee and tea (obtaining a mean of 13.267 oz
while the limit is around 24 oz). For the intake of sugary beverages, the guidelines
recommend to drink it less than daily, which all of our participants successfully did
(Harvard School of Public Health, 2014).
We believe our study will be effective due to its accessible and cost effective
mHealth platform. If proven effective we hope to integrate the DASH application as an
alternative to pharmaceutical treatments for those who are affected by Hypertension.
Upon completion of the study, if successful, we hope to analyze participant responses on
how to improve the study, and implement those changes. Furthermore, we hope to re-
launch the application on a larger scale and over an extended time period to test its long-
term feasibility. Should this be successful we believe it would be a novel and cost-
effective treatment for Hypertension.
23
References
Buxton, Orfeu M., et al. "Association of sleep adequacy with more healthful food choices
and positive workplace experiences among motor freight workers." Am J Public Health
99.Suppl 3 (2009): 636-643.
Campbell, Marci Kramish, and Lisa M. Quintiliani. "Tailored Interventions in Public
Health Where Does Tailoring Fit in Interventions to Reduce Health Disparities?."
American Behavioral Scientist 49.6 (2006): 775-793.
Cohen, Sheldon, Tom Kamarck, and Robin Mermelstein. "A global measure of perceived
stress." Journal of health and social behavior (1983): 385-396.
Davis, B. R., Jeffrey A. Cutler, and D. J. Gordon. "Major outcomes in high risk
hypertensive patients randomized to angiotensin-converting enzyme inhibitor or calcium
channel blocker vs diuretic: The Antihypertensive and Lipid Lowering treatment to
prevent Heart Attack Trial (ALLHAT)." Jama 288.23 (2002): 2981-2997.
Folkow, BJörn. "Physiological aspects of primary hypertension." Physiol Rev 62.2
(1982): 347-504.
Go AS, Mozaffarian D, Roger VL, Benjamin EJ, Berry JD, Borden WB, Bravata DM,
Dai S, Ford ES, Fox CS, Franco S, Fullerton HJ, Gillespie C, Hailpern SM, Heit JA,
Howard VJ, Huffman MD, Kissela BM, Kittner SJ, Lackland DT, Lichtman JH, Lisabeth
LD, Magid D, Marcus GM, Marelli A, Matchar DB, McGuire DK, Mohler ER, Moy CS,
Mussolino ME, Nichol G, Paynter NP, Schreiner PJ, Sorlie PD, Stein J, Turan TN, Virani
SS, Wong ND, Woo D, Turner MB; on behalf of the American Heart Association
Statistics Committee and Stroke Statistics Subcommittee. Heart disease
and stroke statistics—2013 update: a report from the American Heart Association.
Circulation. 2013; 127:e6-e245.
Haskell, William L., et al. "Physical activity and public health: updated recommendation
for adults from the American College of Sports Medicine and the American Heart
Association." Circulation 116.9 (2007): 1081.
Hedrick, Valisa E., et al. "The beverage intake questionnaire: determining initial validity
and reliability." Journal of the American Dietetic Association 110.8 (2010): 1227-1232.
James O. Prochaska and Wayne F. Velicer (1997) The Transtheoretical Model of Health
Behavior Change. American Journal of Health Promotion: September/October 1997, Vol.
12, No. 1, pp. 38-48.
Kay, Misha. "mHealth: New horizons for health through mobile technologies." World
Health Organization (2011).
24
Lucking, Eric F., Ken D. O’Halloran, and James FX Jones. “Increased cardiac output
contributes to the development of chronic intermittent hypoxia-induced hypertension.”
Experimental physiology 99,10 (2014): 1312-1324
Mann, Devin M., et al. "Development of DASH Mobile: A mHealth Lifestyle Change
Intervention for the Management of Hypertension." Studies in health technology and
informatics 192 (2012): 973-973.
Moore, Thomas J., et al. "DASH (Dietary Approaches to Stop Hypertension) diet is
effective treatment for stage 1 isolated systolic hypertension." Hypertension 38.2 (2001):
155-158.
Munoz, Kathryn A., et al. "Food intakes of US children and adolescents compared with
recommendations." Pediatrics 100.3 (1997): 323-329.
Odell, Timothy W., and Martin C. Gregory. "Cost of hypertension treatment." Journal of
general internal medicine 10.12 (1995): 686-688.
Sacks, Frank M., et al. "Effects on blood pressure of reduced dietary sodium and the
Dietary Approaches to Stop Hypertension (DASH) diet." New England journal of
medicine 344.1 (2001): 3-10.
Rifas-Shiman, Sheryl L., et al. "PrimeScreen, a brief dietary screening tool:
reproducibility and comparability with both a longer food frequency questionnaire and
biomarkers." Public health nutrition 4.02 (2001): 249-254.
Wayne, Noah, and Paul Ritvo. "Smartphone-Enabled Health Coach Intervention for
People With Diabetes From a Modest Socioeconomic Strata Community: Single-Arm
Longitudinal Feasibility Study." Journal of Medical Internet Research 16.6 (2014): e149.
Webber, Kelly H., Deborah F. Tate, and Lisa M. Quintiliani. "Motivational interviewing
in internet groups: a pilot study for weight loss." Journal of the American Dietetic
Association 108.6 (2008): 1029-1032.
Widmaier Eric, Raff Hershel, Strang Kevin. Vander’s Human Physiology: The
Mechanisms of Body Function 2013. New York, McGraw Hill Print.
Williams, C. M., J. A. Lovegrove, and B. A. Griffin. "Dietary patterns and cardiovascular
disease." Proceedings of the Nutrition Society 72.04 (2013): 407-411.
US Department of Health and Human Services. "State indicator report on fruits and
vegetables, 2013." Atlanta, GA: Centers for Disease Control and Prevention (2013).
The Nutrition Source. Harvard School of Public Health. Web. 10 Nov. 2014.
"High Blood Pressure (hypertension)." Definition of Hypertension. The Mayo Clinic.
Web. 10 Nov. 2014.
"What Is the DASH Eating Plan?" - NHLBI, NIH. NHLBI, 6 June 2014. Web. 10 Nov.
2014.
25
"How Much Sleep Do We Really Need?" National Sleep Foundation. Web. 10 Nov.
2014.
"Mobile Technology Fact Sheet." Pew Research Centers Internet American Life Project
RSS. Web. 10 Nov. 2014.

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BI495_Sundermier

  • 1. Dietary Approaches to Stopping Hypertension (DASH) Mobile App Study Danielle Sundermier Major: Biology with Specialization in Neurobiology 11/10/14 BI 495
  • 2. 2 Abstract: Backround: Hypertension refers to the blood pressure in the arteries being too high; this prolonged increased pressure can lead to a variety of medical problems, the most prominent being cardiovascular disease (CVD). While pharmaceutical treatments for hypertension have been introduced, they are often cost-ineffective. The Dietary Approaches to Stopping Hypertension (DASH) eating plan and behavioral change interventions have been shown effective in reducing blood pressure in a more cost efficient way. While these methods are oftentimes more cost-effective, they also have higher amounts of data inaccuracies due to the need for participants to self-report their progress. In our study, we avoid this issue by having our data sent to us objectively from the machines themselves. We believe our intervention will be successful due to the convenient mHealth platform, objective data analysis, and our ability to tailor the intervention to each individual participant. Goal: We aim to see if our 12-week mHealth-based behavioral change intervention with a primary expected outcome of reducing blood pressure, and a secondary outcome of behavioral changes regarding nutrition and physical activity will be successful. Quantitative success will be measured by objective data sent by blood pressure monitors, and qualitative success will be measured by the comparison of answers on the baseline and closeout questionnaires. Materials: For this intervention we have created an application for participants to track their diet, weight, blood pressure, and physical activity daily for a period of 12 weeks. Throughout the duration of the study, the participants will also have weekly contact with a health counselor who will communicate with them via phone calls and a text chat to discuss nutrition and physical activity as it pertains to the DASH eating plan. Methods: Our subjects are between 18-64, use a smartphone, and have been previously been given a diagnosis of either pre-hypertension or hypertension, with 3/6 (50%) of them currently receiving treatment via pharmaceutical methods for hypertension. The subjects were recruited via posters at both BU/BUMC, staff emails sent to BUMC/BMC faculty, craigslist, and the BU Student Link job boards. Results: The current 6 enrolled participants (16.67% of the 36 eligible and screened participants) have a baseline mean (SD: 13.83) age of 41.83 years, weight (SD: 36.41) of 176.50 lbs, Systolic blood pressure (SD: 6.98) of 125.33 mmHg, and Diastolic blood pressure (SD: 6.72) of 81.33 mmHg. Conclusion: For successful results we expect a decrease in blood pressure and an improvement in nutrition and physical activity habits. We plan to continue enrollment via the aforementioned methods until we reach a number of 30 active participants.
  • 3. 3 Introduction: Hypertension is a condition in which the pressure, or force, of blood on the artery walls becomes elevated enough to cause stress to the heart, leading to more serious cardiovascular problems, the most prominent being Cardiovascular Disease (CVD) (Mayo Clinic, 2014). Blood pressure is determined by both the cardiac output (CO) of the heart as well as the total peripheral resistance (TPR) to flow of the blood vessels (Widmaier et al., 2014). While resistance is more commonly thought to have a greater impact on blood pressure, it has recently been found that increased CO also induces Hypertension (Lucking et al., 2014). The American Heart Association considers Hypertension as a systolic blood pressure above 140mmHg, a diastolic blood pressure of about 90 mmHg, or as being told twice by a physician that their blood pressure is elevated (2013). The systolic blood pressure refers to the pressure of the arteries while the ventricle is in the “contracting” phase; the diastolic blood pressure refers to the pressure when the ventricle is in the “filling” phase (Widmaier et al., 2014). Hypertension is categorized into two classes: Primary (Essential) Hypertension and Secondary Hypertension. The causes for Primary Hypertension are unidentified, but can oftentimes be attributed to extrinsic or environmental influences, which initiate the chain of events eventually leading to the chronic increase in pressure. Secondary Hypertension is when there has been a specific and identified interference that caused the chronic increase in blood pressure (Folkow, 1982). While less is known about what causes Primary Hypertension, it is seen more commonly, representing about 90% of Hypertension cases, while Secondary only represents around 10% (Widmaier et al., 2014). According to the 2013 statistical fact sheet for Hypertension, provided by The American Heart Association, there are 77.9 million Americans who currently have high blood pressure; this is equivalent to a proportion of 1/3 of Americans. Furthermore, of these 77.9 million, only 81.5% are aware of their condition, and of those aware of their condition only 52.5% have it controlled. This means nearly half (47.5%) of those affected
  • 4. 4 by Hypertension do not have it controlled. It is estimated that in 2030 the number of Americans affected by Hypertension will increase by 5.61 million, or 7.2% (of the current 77.9 million affected) (2013). The American Heart Association currently estimates that the overall cost of treating high blood pressure in the United States is $51 billion (2013). The major pharmaceutical treatments involve blocking Beta-Adrenergic receptors, Angiotensin Conversion Enzyme (ACE) inhibitors, and Calcium Channel Blockers. These medications have been shown to be effective in lowering blood pressure, however, their relative value in comparison to how much they cost is still unclear (Furberg et al., 2002). In 1995, the average cost for managing Hypertension via pharmaceuticals within the first year of diagnosis was $947, $575 in the second year, and $420 for all subsequent years (Odell, 1995). Though the causes of Primary Hypertension are unknown, evidence has shown that increased sodium intake corresponds to a subsequent rise in blood pressure (Folkow, 1982). In a proceeding of a briefing from the Nutrition Society, there was a request to increase the amount of controlled trials that specifically support dietary approaches to preventing cardiovascular disease (Williams et al., 2013). The Dietary Approaches to Stopping Hypertension (DASH) eating plan is a nutritional regimen that is supported by research studies funded by the National Heart, Lung, and Blood Institute (NHLBI). It places an emphasis on eating vegetables, fruits, and low fat dairy products to increase potassium, calcium, magnesium, fiber, and protein levels within the body. In contrast, it discourages sodium, saturated fat, and trans fat intake by limiting sweets, sugary beverages, and salty foods (NHBLI, 2014). Studies have also shown that the combination of utilizing the DASH eating plan while minimizing sodium intake to about 50 mmol per day has the greatest effects on lowering blood pressure (Sacks, 2001). In addition to the DASH eating plan while maintaining a reduction in sodium intake as a means for reducing Hypertension, national guidelines recommend the integration of weight-loss and exercise as a treatment for Stage 1 Systemic Hypertension, equivalent to a blood pressure of 140mmHg/80mmHg (Moore et al., 2001).
  • 5. 5 The effectiveness of the DASH eating plan then raises questions about why it isn’t more regularly used as a treatment instead of expensive pharmaceutical techniques. The most probable explanation is because of the intensive self-restraint and self- adherence associated with maintaining the eating plan, as well as regular exercise. In a study conducted by Thomas Moore in 2001, he found that an 8-week long behavioral intervention produced immediate results in lowering blood pressure, which lasted for around 18 months. But as the time post-intervention increased to 36-months there was a decrease in the after-effects, which he attributed to waning self-adherence (Moore, 2001). mHealth is the growing field of Public Health, defined as “medical and public health practice supported by mobile devices, such as mobile phones, patient monitoring devices, personal digital assistants (PDAs), and other wireless devices” (World Health Organization, 2011). With the increasing use and integration of smartphones and technology in daily life, there has been a subsequent rise in the relevance of mHealth. This is enhanced by increasing development of health tracking smartphone applications, and the growth of the “Quantified Self” movement, a movement promoting self- awareness via daily tracking of habits. Our project involves the use of an mHealth platform, utilization of a developed self-tracking application, the aforementioned DASH eating plan and a tailored life-style change intervention provided to the participant by a trained health counselor. We aim to see if our 12-week mHealth-based behavioral change intervention will be successful in producing the primary expected outcome of reducing blood pressure along with a secondary outcome of positive behavioral changes regarding nutrition and physical activity. This study serves as a pilot study, and therefore aims to see if there is viable evidence of effectiveness to continue this research onto a larger scale. While there have been prior behavioral change interventions related to diet management, as well as Hypertension, to our knowledge the presence of one that integrates both diet and Hypertension management with a patient tailored intervention on a mHealth platform is non-existent. We have chosen an mHealth platform due to its ability to be easily integrated to daily life. As of January 2014, 58% of Americans have a smartphone, with 29%
  • 6. 6 describing their dependency on their smartphone as “something they could not live without” (Pew, 2014). The increasing relevance of smartphones in daily life has allowed for the hypothesis that the intervention will be the most effective on an mHealth platform because it maximizes participant- counselor accessibility. There has also been prior evidence proving the effectiveness of mHealth interventions. In a 2014 smartphone based Diabetes study, the participants were found to have improved management of their diabetes, as well as increased knowledge of what they should and should not be doing to manage their disease (Wayne). We have chosen a participant-tailored approach to the behavioral intervention; the option to do this was made possible by the aforementioned mHealth platform. A participant-tailored intervention includes using personalized information, such a patient’s name, gender, their “perceived barriers,” and their willingness to change their behaviors. (Quintiliani et al., 2005). It has been shown that “mobile technologies complement health coaching by enabling patients and coaches to maintain multiple channels of contact via remote monitoring, voice, and text message communications” (Wayne, 2014). By allowing constant and personalized interaction, the health counselor will gain a better understanding of the participant’s personality and can therefore tailor the intervention to best fit their needs. Apart from its integration with mHealth, tailored interventions have been proven to be more efficiently remembered by the participant and more relevant to the participant’s life than non-tailored interventions (Quintiliani et al., 2005). One of the main barriers in reducing Hypertension is the expensive cost of pharmaceutical treatments. Therefore, a main goal of the study is to help transform the DASH eating plan to a cheap, accessible, and universal program to assist those who can’t afford pharmaceuticals as a method to treating their high blood pressure. The mHealth platform allows for this because of its immediate and inexpensive patient-intervention relationship (Wayne, 2014). The main way the participants will receive the intervention is via phone-calls and an in-app chat function, making it available to virtually all smartphone users at a minimal cost, provided that their calling and messaging costs are already paid for in their cell phone bills.
  • 7. 7 The primary goal for the study is the reduction of high blood pressure, and the secondary outcome is to analyze the effectiveness of the behavioral intervention by tracking the eating, drinking, and physical activity changes of the participants, as well as any changes in their psychosocial traits. This project has been approved by the Institutional Review Board at Boston University Medical Center, and contains no Conflicts of Interest. The procedures of obtaining data as well as storage of data are HIPPA compliant. Materials This study consists of a 12-week mobile application based intervention. For the 12 weeks in which a participant is enrolled, they will be expected to track their diet, weight, blood pressure, and physical activity. They will also receive bi-weekly counseling sessions from a health counselor, revolving around different topics in nutrition and physical activity as they pertain to the DASH eating plan. For this study we developed a cell phone application, which is compatible with both the iOS and the Android 4.0 operating systems. This application was developed via utilization of team members with specializations spanning over a variety of different fields, such as primary care, computer science, nutrition, and human-computer interactions (Mann, 2013). The application was designed specifically for use in our study and is comprised of five main screens: portion tracking, goal setting, progress, resources, and a chat screen. The application was designed to be simple in its appearance as to appeal to participants with different ranges of exposure to technology. The home screen of the application is comprised of the portion-tracking page. On this screen each food group is shown in a box proportionally sized to the amount of servings per day that should be consumed. To track their diet, the participant taps the box of the food group that they just ate, with each tap adding one serving of that food to their intake for the day. To find the portion size for a specific food group, the participant can hold down the respective icon and a notification will appear listing its portion size information. The color of the icon of the food group will change as the number of servings consumed approaches its daily limit. Once the limit is surpassed the icon will
  • 8. 8 turn red. To erase an incorrectly tracked serving, there is a minus sign icon located in the top left corner of the home screen which allows the participant to quickly delete a serving size from a particular food group. Once the food intake is recorded for the day, a green check will appear next to the word “diet” on the top of the home screen. Throughout their time in the study, the participant will set bi-weekly goals with the health counselor during their counseling sessions. To view these goals there is a “goals” screen on the application, which lists all previous goals, as well as current goals. There is also a screen that allows the participant to graphically see their progress throughout the study. On this “progress” screen the participant can look at their progress regarding their weight, blood pressure, physical activity and diet over the course of either the week, month, or entire duration of the study. The final two screens on the application comprise of the “resources” screen and the “chat” screen. The “resources” screen has a library of videos developed by the staff to help explain some concepts pertaining to the DASH eating plan. For example, there is a set of videos, which explain portion sizing in each of the different food groups. In addition to the videos the “resources” page also contains a list of web-links that the health counselor has deemed as relevant and useful for understanding the basics of the DASH eating plan. Should the “resources” page not answer the participant’s question; there is also a chat function within the application, which allows the participant to quickly send the health counselor any immediate questions they may have. In addition to the DASH application, a web-based portal was also developed. This portal is the main storage unit for the data regarding the participant’s weight, blood pressure, and physical activity. The portal is how the health counselor can monitor the participant’s progress, input their goals as well as mark prior goals as completed The portal also allows the health counselor to send messages to the participant. In order to track their weight, blood pressure, and physical activity, the participants are given a set of Bluetooth enabled devices. They are given an A&D ProFIT Precision Personal Health Scale to track their weight, an A&D Easy One Set Blood Pressure Monitor to track their blood pressure, and a fitbit flex monitor to track their
  • 9. 9 physical activity. The fitbit monitor will push data to the DASH application whenever it is opened via a coding sequence developed by the principle software engineer. In order to sync the scale and blood pressure cuff, the participant must take their weight or blood pressure while the application is open. Upon a successful sync the application will pop-up a notification stating “alert: blue-tooth syncing.” When each category is successfully synced, a green check mark will show up on the application. There are three health counselors who are trained in both the DASH eating plan and in using a technique called “motivational interviewing.” They administer the intervention to the participants. Each participant is assigned a health counselor, with whom they have bi-weekly phone counseling (synchronous) sessions with, and bi-weekly messaging (asynchronous) sessions. In addition to hosting those two types of counseling sessions, the health counselor is also available to the participant throughout the day via the chat function within the application. The intervention itself is tailored to the participant based on their responses on the baseline questionnaire. This questionnaire utilizes questions pertaining to the participant’s demographics, their current behavioral habits and their current psychosocial status. For tracking behavioral habits, we utilized the PrimeScreen dietary screening tool, which is a proven and reproducible dietary questionnaire which allows the quality of an individual’s daily food intake to be ranked (Rifas-Shiman, 2000). To assess the participant’s intake of sugary drinks, we utilized the beverage intake questionnaire, or BEVQ, which is a proven reliable indicator of daily beverage intake (Hedrick et al., 2010). The behavior section of the questionnaire also includes questions about the participant’s sleep quality and how often they participated in physical activity or strength training. For the psychosocial portion, we utilized the Transtheoretical Model (TTM) of psychosocial analysis, as well as the Perceived Stress Scale (PSS). The TTM observes the stages of change that the participant goes through while they are competing the intervention. The six stages of change associated with TTM are pre-contemplation, contemplation, preparation, action, maintenance, and termination (Prochaska, 1997). We also utilized the PSS, which measures both event specific and globalized stress levels in
  • 10. 10 participants, and the degree to which everyday situations in life are perceived as stressful (Cohen, 1983). The closeout questionnaire is similar to the baseline in that it asks all the same demographic, behavioral and psychosocial questions. However, it also contains several questions about the participant’s complacency with the study, such as how often they spoke with their health counselor, how often they messaged her, how they felt about goal setting, how helpful the goal setting was, and what they would want to change about the study. We included these questions to gain perspective on what to change in order to improve the application and the intervention in the future. Methods: Figure 1: The flow of information in the DASH study,the participant inputs their data into the DASH application, which then gets sent to the DASH portal for the counselorto analyze and send feedback back to the participant Participant Tracking -Bluetooth -Weight Physical Activity -Diet DASH Application DASH Portal Counselor
  • 11. 11 The overall process of a participant going through the DASH study consists of 6 major steps: 1. Initial recruitment 2. Successful initial screening 3. Baseline visit to BMC to become officially enrolled in the study 4. 12-weeks of active study participation 5. Final visit to BMC 6. Data analysis This study recruited individuals who are between 18-64 years, living in the greater Boston area, have previously been given a diagnosis of hypertension and own a smartphone. Participants have been recruited via flyers, advertisements in weekly emails sent to BUMC/BMC staff, postings on both Study Finder and the ReSPECT registry, postings on craigslist, and postings on the Boston University job boards website. Recruitment has currently brought in 36 interested participants, and we have 6 currently enrolled participants. We plan to continue recruitment until we have had 30 participants successfully complete the trial. During the recruitment process, if we receive an interested email from a potential participant we respond to them with a generic email stating the eligibility requirements, as well as a phone number to call us at if they are interested in participating. Once a call is received, or a call is made to an interested participant the initial phone screening occurs. This phone screening serves as the initial process in determining eligibility. The participant is asked if they have ever been given a diagnosis of Hypertension, or if they are currently on Hypertension medication. We ensure that they have Primary Hypertension and that their high blood pressure is not attributed to a known cause, such as kidney disease or renal failure. It also questions any other pre-existing health conditions that could prevent the participant from successful completion of the study, such as arthritis, which would impair their ability complete the physical activity portion of the study. It also rules out any women who are pregnant or breast-feeding, whose consequential hormonal changes could interfere with their blood pressure. Lastly, it ensures that the potential participant has a smartphone and lives in the Boston area. If a
  • 12. 12 participant meets the criteria for eligibility from the phone screening they will then be asked to schedule a baseline visit to come in for official study enrollment. The time between their initial phone screening and their baseline visit is normally anywhere between 2-3 weeks. The initial baseline visit provides the staff with important information about the participant; it is conducted in a series of 8 major steps: 1. Informed consent is obtained from the participant 2. The participant’s blood pressure is taken to ensure they meet the requirements a. Systolic <120mmHg if they are on blood pressure medication b. Systolic >120mmHg if they are not on medication 3. The participant takes a guideline questionnaire to ensure eligibility 4. The participant takes the baseline questionnaire 5. The participant has their baseline weight recorded 6. The application is loaded onto the participant’s phone and the participant is given study devices 7. The participant meets with the health counselor and research assistant 8. The participant receives their initial compensation The baseline visit is the first of two times that the participant is asked to come into the lab. Upon arrival they are (1) taken through the informed consent document and are asked if they have any questions about the study. (2) They then have their blood pressure tested by the research assistant, to ensure eligibility. If they have a normal systolic blood pressure (<120 mmHg) but have shown proof of their medication they can be enrolled, otherwise, they must have a systolic blood pressure of at least 120 mmHg, indicating a diagnosis of pre-hypertension. If their blood pressure is in a dangerous range (>140 mmHg) they are referred to Devin Mann, MD., the primary care physician on staff. Once their blood pressure is deemed to be in an acceptable range, they are then asked to (3) fill out a guideline questionnaire; this is separate from the baseline questionnaire mentioned in the “materials” section. This guideline questionnaire ensures that the participant has room for improvement in their life pertaining to diet and physical activity. In order to be eligible they must fall below two of the behavioral guidelines on this questionnaire. Upon
  • 13. 13 successful completion they are then asked to (4) take the baseline questionnaire, which gives the health counselor information about their demographics, behaviors, and psychosocial traits. After they complete the baseline questionnaire the research assistant then (5) weighs them to record a baseline weight to input into the application. The research assistant then (6) collects the participant’s phone to load the application via Xcode and pairs the Bluetooth devices to the participant’s phone. During this time the participant (7) meets with the health counselor for the first time to schedule their counseling sessions. The health counselor will also give the participant information sheets with instructions on how to use the application, different recommended portion sizes, and more information about the DASH eating plan. After meeting with the health counselor the participant will meet with the research assistant for an overview on how to use the study devices. The participant will also receive an information sheet with instructions on how to use and sync the devices. (8) The research assistant will also give the participant their initial compensation of $25. Over the course of the 12-weeks of the study the participant receives a series of 7 motivational interviewing (MI) sessions with the health counselor. During each counseling session the participant talks with the health counselor about one of the following topics: 1. Physical activity 2. Fast food 3. Drinking 4. Physical activity 5. Fruits and vegetables 6. Cooking 7. Snacking In their baseline survey, the participant chooses which order they want to talk about each the topics. However, physical activity is the first topic for every participant. The counseling sessions are conducted using a technique know as motivation interviewing, which has been shown effective in studies involving weight loss. It is a counseling technique that “seeks to resolve ambivalence and increase motivation for change by eliciting self-motivational statements, or change talk from clients” (Quintiliani et al., 2008). It includes both “synchronous” interviewing, which refers to interviewing done in
  • 14. 14 real time, as well as “asynchronous” messaging, which refers to chat messages that the health counselor sends out. During these counseling sessions, which occur bi-weekly and last for around 15-20 minutes, the health counselor focuses on having the participants reflect on their current habits. She also has them set small, attainable goals in order to motivate them to change certain daily habits. The goal of these sessions is to have the participant elicit a want to change. Their phone calls are recorded so that the health counselor can reflect on them and so that they can be later analyzed for effectiveness. In addition to these bi-weekly phone sessions, participants will also receive “asynchronous” messages from the health counselor during the weeks in which there are no scheduled counseling sessions. These messages are mainly reminders to the participant of what their goals are and to encourage them to keep working towards them. While enrolled in the study the participants are expected to track their diet, weight, blood pressure, and physical activity. They do all of the following directly through the application. The procedure in which participants track their diet is described in the “materials” section. Participants are expected to input their diet either after every meal or at the end of the day. To track their physical activity they are expected to wear a fitbit fitness monitor daily, either on their wrist or clipped onto their belt. Notifications about the battery level of the fitbit device are forwarded to the lab staff, and the health counselor will utilize the chat function in the application to inform the participant of when to charge it. During the baseline visit the participants are shown how to take their blood pressure via the A&D monitor that we provide them with. Before enrollment into the study the participant must demonstrate proficiency recording his/her own blood pressure. They will be expected to take their blood pressure at least once daily, anytime throughout the day, utilizing the syncing method described in the “materials” section. Tracking their weight on the scale follows the same previously mentioned procedure. They will be expected to record their weight at least daily, utilizing the same syncing method. The information from the devices automatically gets pushed into the DASH portal to allow the health counselor to access it. If she sees that they are not inputting their data on a daily basis, she will either utilize the chat to question their tracking habits or will bring attention to the issue in their next phone call. Similarly, if she notices that a
  • 15. 15 participant is tracking their information daily and showing significant improvement, she can use either of those two functions to praise the participant. The final visit is the second time that the participant is asked to come into BMC. During this visit they return their study devices, have the application deleted from their phone, complete a baseline questionnaire and receive study compensation. The final questionnaire, as described in the “materials” section, is similar to the baseline questionnaire, but also contains questions about the participant’s thoughts on their time in the study. The final compensation for the study comes in two parts: $50 for returning the study devices, and $25 for successful completion of the study. To analyze data we will quantitatively look at the numerical changes in blood pressure, weight, physical activity, daily food intake, and daily sugary beverages intake. Qualitative changes will also be measured; this will be done by looking at any changes in responses to questions regarding the psychosocial models of TTM and PSS on the baseline questionnaire versus the final questionnaire. The data will be analyzed via statistics based software, such as SAS. The final blood pressure, weight, and minutes spent doing physical activity will be averaged and compared to the baseline values. The food and beverage intake will be scaled, averaged and compared using the scaling method described in the “results” section. A similar scaling technique will be used for the psychosocial behavior questions (PSS and TTM), which is discussed in the “results” section as well. Results The following results came from the responses to the baseline survey (supported by Qualtrics software) that the participants are asked to fill out during their baseline visit. The 6 participants we currently have enrolled (20% of the total eligible 30 participants, and 16.67% of the total 36 screened participants) have a mean (SD: 13.83) age of 41.83 years, with the youngest participant being an outlier at 23 years. There is an equal amount of both males and females (n=3 males, n=3 females). There is also an equality in the ethnicities the participant identify themselves as, with n=2 (33.33%) identifying themselves as White, n=2 (33.33%) identifying as Black or African
  • 16. 16 American, and n=2 (33.33%) identifying as Asian or Pacific Islander. 16.7% (n=1) of the participants have had 12 years of schooling, and 83.3% (n=5) have had 16+ years. 50% (n=3) of the participants are married, and 50% (n=3) are single. 83.3% (n=5) of the participants are currently working full-time, while 16.67% (n=1) are currently working part-time. When asked if there had been a time in the past 12 months when they had been unable to pay for medication, 83.3% (n=5) responded with no, and 16.67% (n=1) responded that they had not been prescribed medicine in the past 12 months. None of the participants have had any food shortages in the past 12 months, and only n=1 (16.67%) participant responded that they had other health issues apart from Hypertension. n=3 (50%) of participants have been previous tobacco users, and n=3 (50%) have not used any tobacco products in the past. When asked about their current exposure to technology all (n=6) of the participants responded that they use the internet, email, smartphone applications, and access email on their smartphone at least occasionally. Only n=1 (16.67%) of participants had previously used their smartphone for health tracking applications, and none (n=0) were currently receiving any sort of text alert from their doctors. The mean (SD: 36.41) weight of the participants was 176.50 pounds. The American Heart Association defines normal blood pressure as <120 mmHg (systolic) and <80 mmHg (diastolic), with the range for a diagnosis of Pre-Hypertension starting at 120 mmHg (systolic) and 80 mmHg (diastolic). Our participants have a mean (SD: 6.98) systolic blood pressure of 125.33 mmHg and a mean (SD: 6.71) diastolic blood pressure of 81.33 mmHg, which is equivalent to a diagnosis of Pre-Hypertension.
  • 17. 17 Table 1: Characteristics of participants currently enrolled in the DASH study Characteristic n= 6 Weight, pounds, mean (SD) 176.50 (36.41) SystolicBP, mmHg, mean (SD) 125.33 (6.98) DiastolicBP, mmHg, mean (SD) 81.33 (6.71) Age, years, mean (SD) 41.83 (13.83) Sex n=6 Male 3 Female 3 Race n=6 White 2 Black or African American 2 Asian or Pacific Islander 2 Level of Education n=6 12 Years 1 16+ Years 5 Marital Status n=6 Single 3 Married 3 Current Work Status n=6 Working Full-Time 5 Working Part-Time 1 Type of Health Insurance n=6 Private 5 N/A 1 Been unable to pay for medication in the past 12 mo n=6 No 5 Not Prescribed 1 Food shortages in the past 12 mo n=6 No 6 Internet Usage n=6 At least occasionally 6 OtherDiagnosedHealth Issues n=6 N/A 5 High Cholesterol 1 Previous Tobacco Use n=6 No previous use 3 Prior usage, but not currently 3 Usage of Email n=6 At least occasionally 6 Usage of Email/Internet on a Smartphone n=6 At least occasionally 6 How often Email is accessed n=6 Several times a day 6 Usage of Smartphone to download applications n=6 Yes 6 Usage of health tracking applications n=6 Yes 1 No 5 Currently receiving text updates/ alerts from your Doctors n=6 No 6 Currently on high blood pressure medication n=6 Yes 3 No 3
  • 18. 18 The daily food intake (Table 2a) was recorded and scaled via the PrimeScreen method proposed by Rifas-Shiman in 2008. This method scales the number of food servings by assigning a value based on the number of times they were eaten per week, and then averages them by the number of participants in the trial (n=6). The same method was utilized for determining the number of times per day the participants engaged in certain food behaviors (Table 2a). The assigned values are as follows: Less than once per week: .03 Once per week: .14 2-4x per week: .43 Nearly daily or daily: 1 2x+ daily: 2.5 The daily intake of beverages (Table 2c) were recorded and scaled via the BEVQ questionnaire, developed by Hedrick in 2010. To scale this the values were converted to the number of times the participant drank the specified beverage each day, and then multiplied by the number of consumed fluid ounces of the beverage. This value was then averaged over the value of n=6 to obtain the amount (in fluid ounces) of each beverage consumed per day. These results are summarized in Table 2c. Table 2b summarizes the participant’s engagement in physical activity over the past month. All participants (n=6) have previously participated in physical activity in the past month, with n=3 (50%) participating in it 1-2 days per week, n=2 (33.33%) participating in it 3-5 days per week, and n=1 (16.67%) participating in it for more than 5 days a week. When asked for the amount of time each participant engaged in the aforementioned physical activity, n=3 (50%) participated in it for less than 30 minutes, n=1 (16.67%) participated in it for between 30-60 minutes, and n=2 (33.33%) participated in it for 150-250 minutes. When asked about how often each participant utilized strength training n=4 (66.67%) said never, and n=2 (33.33%) responded with 1-2 times a week. Table 2d summarizes the participant’s perceived sleep behavior. The participants had a mean (SD: 7.53) of 11.67 days per month without an adequate amount of rest, and a mean (SD: 1.10) amount of 7.00 hours of sleep per night
  • 19. 19 Table 2: Current behaviors of participants enrolled in theDASH study Behaviors of participants n=6 (2a) Food Intake Number of servings per day Fruit and Vegetables 1.24 Dairy Products 1.95 Whole grain foods .648 Pasta, rice, and noodles .593 Baked products .410 Beef, pork, or lamb as a main dish .115 Processed meats .067 Fish or seafood .133 Fried foods .115 Food Behaviors Number of times per day Addition of salt to foods .192 Eating out (including fast food) .097 Cooking meals at home 1.31 (2b) Participation in physical activity over the past month Yes (n=6) Amount of times per week n=6 1-2 days 3 3-5 days 2 > 5 days 1 Amount of time spend on activity n=6 <30 minutes 3 30-60 minutes 1 150-250 minutes 2 Amount of times per week strength training n=6 None 4 1-2 times 2 (2c) Beverage Intake Number of fluidounces per day Water 39.6 100% Juice 1.73 Sweetened juice .867 Whole milk .112 2% (reduced-fat) milk .030 1% (low-fat) milk .922 Regular soft-drinks .354 Diet soft-drinks .541 Beers, Ales, Wine Coolers, Non-Alcoholic &Light Beer .097 Wine .193 Hard Liquor .030 Energy and Sports Drinks .360 Tea/Coffee with cream/sugar 12.6 Tea/Coffee without cream/sugar .667 Other 0 (2d) SleepBehavior Mean (SD) Days in a month without enough rest/sleep, mean(SD) 11.67(7.53) Hours of sleep in a 24 hour period, mean(SD) 7.00(1.10)
  • 20. 20 Table 3a summarizes the participant’s responses to the TTM of psychosocial traits. The TTM attempts to track the participant’s willingness to change, and is measured in 6 successive steps: pre-contemplation, contemplation, preparation, action, maintenance, and termination. n=1 (16.67%) participant stated that they were in the “pre- contemplation” stage. This is seen as the stage where “people do not intend to take action in the very near term.” n=1 (16.67%) participant stated they were in the “contemplation” stage, which is when the participant is willing to change their behavior in the next 6 months. n=2 (33.33%) participants stated they were in the “preparation” stage, where the participant is expected to be willing to make changes soon (within the next month). n=1 (16.67%) participant stated that they are in the “action” stage, indicating that they have “made specific, overt modifications in their lifestyles within the past 6 months.” n=1 (16.67%) have stated that they’re in the “maintenance” stage, indicating they have already “made specific, overt modifications in their lifestyles and are working to prevent relapse.” The “termination” stage indicates a state of “zero temptation and 100% efficacy,” n=0 participants stated that they were in this stage (Prochaska, 1997). Table 3b summarizes the participant’s perception of stress within their life, by utilizing the PSS. This survey questions how participants feel about managing stress in their lives by asking four basic questions (Cohen, 1983): 1. In the last month, how often have you felt that you were unable to control the important things in your life? 2. In the last month, how often have you felt confident about your ability to handle you personal problems? 3. In the last month, how often have you felt that things were going your way? 4. In the last month, how often have you felt difficulties were piling up so high that you could not overcome them? Each response was given a numerical value, and these values were averaged over the number n=6 to get the mean amount of stress perceived by each participant. The values were assigned based on the scaling below: Never: 0 Almost never: 1 Sometimes: 2
  • 21. 21 Fairly often: 3 Very often: 4 Table 3: Psychosocial characteristics of currently enrolled DASH participants (3a) Transtheoretical Model (TTM) n=6 Pre-contemplation 1 Contemplation 1 Preparation 2 Action 1 Maintenance 1 (3b) Perceived Stress Scale (PSS) Frequency offeeling (mean, SD) Felt unable to control the important things in their life 1.67(.943) Felt confident in ability to handle personal problems 2.83(1.34) Felt things were going their way 3.33(.745) Felt difficulties were piling up so high they could not overcome them .667(.745) Discussion According to the 2013 State Indicator report, provided by the Center for Disease Control (CDC), the median amount of fruit intake for an adult in Massachusetts is 1.2 servings, while the median vegetable intake is 1.7 servings, averaging to a mean intake of 1.45 servings of fruits and vegetables per day. The mean daily fruit and vegetable serving within our range of participants was 1.24, indicating a value below the state median. The recommended amount of grain servings per day is 6-11 servings, whereas our participants averaged a value below that, of 1.241 (combined grains, pasta, rice, and noodles) servings per day. The recommended dairy is 2-3 servings per day, our participants were nearly in this range by averaging a number of 1.95 servings per day (Muñoz, 2014). According the American Heart Association, “To promote and maintain health, all healthy adults aged 18 to 65 yr need moderate-intensity aerobic (endurance) physical activity for a minimum of 30 min on five days each week or vigorous-intensity aerobic physical activity for a minimum of 20 min on three days each week” (2007). According to these guidelines, 50% (n=3) fall below guidelines for the amount of days spent doing physical activity per week, and 50% (n=3) fall below guidelines for the amount of time per week spent doing physical activity.
  • 22. 22 The National Sleep Foundation recommends anywhere between 7.5-9 hours of sleep per night, our participants have averaged 7 hours of sleep per night. Sleep could potentially be an important variable in our reseach because in a study done in 2009 by Buxton, it was shown that more adequate sleep lead to workers making healthier choices in regards to their food intake. The recommendation for the daily fluid ounces of water currently stands at an amount of 125 ounces for men, and 91 ounces for women. Our participants fell greatly below this level by consuming around 40 ounces per day. However, our participants drank less than recommended limit for coffee and tea (obtaining a mean of 13.267 oz while the limit is around 24 oz). For the intake of sugary beverages, the guidelines recommend to drink it less than daily, which all of our participants successfully did (Harvard School of Public Health, 2014). We believe our study will be effective due to its accessible and cost effective mHealth platform. If proven effective we hope to integrate the DASH application as an alternative to pharmaceutical treatments for those who are affected by Hypertension. Upon completion of the study, if successful, we hope to analyze participant responses on how to improve the study, and implement those changes. Furthermore, we hope to re- launch the application on a larger scale and over an extended time period to test its long- term feasibility. Should this be successful we believe it would be a novel and cost- effective treatment for Hypertension.
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