SlideShare una empresa de Scribd logo
1 de 1
Descargar para leer sin conexión
An Epidemiological Profile of Diabetes in Pregnancy among First Nations
and non-First Nations Women in Alberta

This study was part of a larger mixed methods plan aimed at examining diabetes in
pregnancy among Aboriginal women, with the ultimate goal of developing
interventions that can effectively improve care for diabetes in pregnancy. A multiphase
mixed methods research approach is being utilized (7), whereby this study
encompassed the initial quantitative epidemiology phase.

OBJECTIVE
To use administrative data from the Alberta Perinatal Health Program (APHP) and
Alberta Health & Wellness (AHW) to generate an epidemiological profile of First
Nations diabetes in pregnancy.

METHODS
A longitudinal retrospective observational study design was utilized. Briefly, deidentified data from all delivery records of adult women were obtained from the APHP
for the years 2000-2009, and First Nations women were identified by AHW.
Pregestational, past obstetrical, and delivery outcomes and problems were described
and compared via t-tests and chi-square tests. Annual crude and age-adjusted (direct
method) rates of diabetes in pregnancy by ethnicity were calculated and compared via
chi-square analysis. Longitudinal changes in prevalence over time were computed
and compared via Average Annual Percent Change (AAPC) analysis. The predictors
of diabetes in pregnancy were explored via logistic regression analyses. Ethical
approval was obtained from the Human Research Ethics Board of the University of
Alberta.

Women without diabetes (n = 407,855)

Women with diabetes (n = 19,173)

First Nations
(n = 26,793)

Non-First Nations
(n = 381,092)

First Nations
(n = 1,513)

Non-First Nations
(n = 17,660)

24.7 (5.8)
8.1% (7.8-8.4)
6.9% (6.6-7.2)
51.8% (51.2-52.4)
0.4% (0.4-0.5)
10.8% (10.5-11.2)
0.9% (0.8-1.0)
0.1% (0.0-0.1)

28.7 (5.5)†
1.2% (1.2-1.3)†
15.2% (15.0-15.3)†
15.9 (15.8-16.0)†
0.6% (0.5-0.6)†
8.0% (7.9-8.1)†
0.9% (0.9-1.0)
0.1% (0.0-0.1)

28.9 (6.2)
2.7% (3.3-5.6)
20.0% (17.9-22.1)
52.5% (49.9-55.0)
0.7% (0.3-1.2)
31.7% (29.3-34.1)
4.2% (3.3-5.4)
0.3% (0.1-0.8)

31.6 (5.3)‡
0.2% (0.2-0.3)‡
30.0% (29.4-30.7)‡
11.4% (10.9-11.9)‡
0.7% (0.6-0.8)
18.4% (17.9-19.0)‡
3.3% (3.0-3.5)‡
0.1% (0.0-0.2)‡

Pre-existing
Age (years)
Age ≤ 17
Age ≥ 35
Rural
Weight ≤ 45 kg
Weight ≥ 91 kg
Hypertension
Chronic renal disease
Past obstetrical
Parity
Preterm
Neonatal death
Stillbirth
Abortion
Cesarean section
SGA
LGA
Major fetal anomaly

1.7 (1.9)
8.3% (7.9-8.7)
1.0% (0.9-1.1)
1.9% (1.7-2.0)
7.3% (6.9-7.6)
11.6% (11.2-11.9)
0.7% (0.6-0.8)
1.6% (1.4-1.74
0.8% (0.7-0.9)

0.9 (1.1)†
4.8% (4.7-4.9)†
0.5% (0.5-0.6)†
0.9% (0.8-0.9)†
4.9% (4.9-5.0)†
12.2% (12.1-12.3)†
0.7 % (0.6-0.7)
1.0% (1.00-1.1)†
0.6% (0.5-0.6)†

1.1 (1.4)‡
7.9% (7.3-8.4)‡
0.9% (0.8-1.1)‡
2.2% (2.0-2.4)‡
6.0% (5.7-6.4)‡
18.9% (18.3-19.8)
0.7% (0.6-0.9)‡
3.0% (2.7-3.2)‡
0.8% (0.7-1.0)

2.2 (2.1)
12.8% (11.0-14.8)
1.7% (1.1-2.4)
5.0% (3.9-6.2)
9.1% (7.7-10.6)
20.2% (18.2-22.3)
0.3% (0.1-0.7)
6.9% (5.7-8.3)
1.1% (0.7-1.8)

2.9% (2.7-3.1)
4.4% (4.2-4.7)
2.4% (2.2-2.6)
1.2% (1.0-1.3)
2.3% (2.1-2.5)
13.8% (13.4-14.3)
54.7% (54.1-55.3)
0.9% (0.8-1.1)
9.5% (9.2-9.9)
6.6% (6.3-6.9)
2.9 (2.7)
10.4% (10.1-10.8)

3.4% (3.3-3.4)†
5.7% (5.6-5.7)†
1.9% (1.9-2.0)†
1.5% (1.4-1.5)†
0.6% (0.5-0.6)†
14.4% (14.3-14.6)†
17.0% (16.9-17.2)†
0.1% (0.0-0.1)†
1.6% (1.5-1.6)†
0.9% (0.8-0.9)†
2.1 (2.2)†
5.1% (5.1-5.2)†

3.5% (2.6-4.6)
8.1% (6.7-9.7)
5.6% (4.5-6.9)
1.5% (0.9-2.2)
1.3% (0.8-2.0)
5.1% (4.1-6.3)
49.4% (46.8-51.9)
0.6% (0.3-1.2)
7.2% (5.9-8.6)
3.5% (2.6-4.6)
5.6 (3.6)
30.7% (28.4-33.1)

3.9% (3.6-4.3)
12.2% (11.7-12.7)
3.9% (3.9-4.2)‡
2.2% (2.0-2.5)‡
0.5% (0.4-0.7)‡
4.3% (4.1-4.7)
14.3% (13.8-14.8)‡
0.1% (0.0-0.1)‡
0.9% (0.8-1.04)‡
0.4% (0.3-0.5)‡
4.4 (3.0)‡
19.8% (19.2-2.4)‡

23.8% (23.1-24.3)
7.8 (2.0)
8.9 (1.4)
3411.5 (706.0)
8.0% (7.6-8.3)
16.7% (16.3-17.2)
38.5 (2.7)
71.2% (70.5-72.8)
9.2% (8.9-9.6)
1.2% (1.1-1.3)
8.6% (8.3-9.0)
1.8% (1.6-2.0)
19.1% (18.6-19.5)
0.9% (0.8-1.0)

27.3% (27.1-27.4)†
7.9 (1.7)†
8.8 (1.1)†
3338.5 (620.8)†
7.1% (7.0-7.2)†
11.1% (10.9-11.1)†
38.7 (2.4)†
88.3% (88.2-88.6)†
8.8% (8.7-8.9)†
0.7% (0.6-0.7)†
11.2% (11.1-11.3)†
1.5% (1.4-1.5)†
25.5% (25.4-25.6)†
0.6% (0.5-0.6)†

41.7% (39.2-44.2)
7.5 (2.1)
8.6 (1.6)
3577.5 (805.4)
7.2% (6.0-8.6)
29.3% (27.0-31.6)
37.8 (2.6)
74.7% (69.3-79.6)
17.3% (15.4-19.3)
2.1% (1.5-2.9)
16.7% (14.8-15.7)
1.4% (0.8-2.3)
35.4% (33.0-37.8)
0.9% (0.5-1.5)

40.9% (40.2-41.7)
7.8 (1.9)‡
8.8 (1.1)‡
3326.8 (65.1)‡
8.6% (8.2-9.0)
12.9% (12.4-13.4)‡
38.0 (2.1)‡
86.3% (85.4-87.1)‡
14.7% (14.2-15.3)‡
0.6% (0.5-0.8)‡
19.4% (18.8-20.0)‡
1.7% (1.5-2.1)
39.8% (39.0-40.9)‡
0.4% (0.3-0.5)‡

First Nations

Non-First Nations

Rate
ratio*

p-value

In general, First Nations women tended to have more risk factors and poorer
outcomes than non-First Nations (Table 1). The majority of these differences by
ethnicity persisted when comparing only those pregnancies affected by diabetes.
Among First Nations women alone, those with diabetes tended to have more
pregnancy risk factors and poorer outcomes. As opposed to those women with GDM,
those with pregestational diabetes were more likely to have antenatal risk factors and
adverse infant outcomes (data not shown).
Both overall crude and age-adjusted GDM and pregesational diabetes prevalence
were significantly elevated for First Nations women in contrast to non-First Nations
women (Table 2).

* First Nations-to-non-First Nations

8
7
6
5
4
3
2

First Nations

B

Non First Nations

25
20
15
10
5

0

0
2000

2001

2002

2003

2004

2005

2006

2007

4.3%
(4.26-4.38)
4.9%
(4.16-4.63)
1.0%
(1.01-1.03)
1.1%
(0.76-1.49)

3.8%
(3.77-3.89)
4.8%
(4.60-4.98)
0.6%
(0.58-0.62)
0.7%
(0.60-0.75)

6.1%
(5.99-6.13)
6.9%
(6.79-6.94)
1.5%
(1.43-1.50)
1.4%
(1.33-1.39)

3.8%
(3.74-3.85)
4.6%
(4.58-4.70)
0.6%
(0.57-0.62)
0.7%
(0.64-0.71)

2008

2009

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

Table 3. Ethnicity comparisons of GDM and pregestational diabetes prevalence over time in Alberta, 2000-2009.
Values are AAPC (95% CI) in age-adjusted rates.

First Nations

Non-First Nations

1.51
(-2.04-5.20)
1.55
(-4.68-8.19)

GDM

4.48*†
(2.88-6.11)
1.35
(-0.38-3.12)

 p < 0.05 for AAPC; † p < 0.05 for difference in AAPC between ethnicities

In addition to previously identified risk factors (age ≥ 35, weight ≥ 91 kg, hypertension,
First Nations ethnicity), history of stillbirth, history of cesarean section, history of abortion,
history of LGA infant, and proteinuria are also independent novel predictors of diabetes in
pregnancy (Table 4).
Table 4. Multivariate predictors of GDM and pregestational diabetes among Albertan women by ethnicity. Values are
ORs (95% CI).

First Nations
ethnicity
Rural residence
Age ≤ 17
Age ≥ 35
Weight ≥ 91 kg
Pre-existing
hypertension
History of stillbirth
History of abortion
History of cesarean
section
History of SGA
History of LGA
Proteinuria
Smoker

Alcohol anytime‡

All women
(n = 427,058)
OR (95% CI)
OR (95% CI)
for pregestational
for GDM
diabetes
1.47
1.73
†
(1.38-1.57)
(1.52-1.96)
0.69
-(0.66-0.73)†
0.35
0.29
(0.28-0.45)†
(0.16-0.52)†
2.34
1.57
†
(2.26-2.42)
(1.43-1.72)†
2.51
2.31
†
(2.40-2.61)
(2.10-2.54)†
1.63
4.45
†
(1.45-1.84)
(3.82-5.43)†
1.96
2.56
†
(1.75-2.18)
(2.07-3.18)†
1.42
-(1.23-1.64)†
1.37
1.76
†
(1.32-1.43)
(1.61-1.94)†
0.53
-(0.29-0.96)†
2.79
-(2.31-3.39)†
1.61
2.62
†
(1.48-1.76)
(2.23-3.08)†
0.90
-(0.86-0.94)†
0.51
-(0.41-0.63)†
0.68
-(0.50-0.93)†

First Nations
(n = 28,306)
OR (95% CI)
for GDM

OR (95% CI)
for pregestational
diabetes

--

--

--

--

0.48
(0.34-0.67)†
2.81
(2.41-3.27)†
2.93
(2.56-3.33)†

1.40
(1.20-1.63)†

0.42
(0.18-0.94)†
2.23
(1.64-3.02)†
3.25
(2.52-4.18)†
5.09
(3.03-8.58)†
3.05
(1.93-4.81)†
1.58
(1.11-2.25)†
1.88
(1.41-2.47)†

--

--

2.58
(1.99-3.35)†
1.85
(1.40-2.44)†

3.23
(2.10-4.97)†
2.05
(1.26-3.32)†

--

--

0.54
(0.39-0.74)†

--

--

--

-1.76
(1.30-2.38)†
--

 Compared to age 18-34; † p < 0.01 for OR; ‡ To reduce co-linearity, the variables alcohol ≥ 1 drink per day and alcohol ≥ 3 drinks ever were combined

1.1

< 0.001

1.0

0.861

1.7

< 0.001

1.6

< 0.001

1.6

< 0.001

Although First Nations women in Alberta suffer higher overall diabetes in pregnancy
prevalence, the longitudinal stability of rates is encouraging. However, as high-risk
pregnancies and poor outcomes are more common among First Nations women,
particularly those with diabetes, efforts must be made to improve pregnancy care.

1.5

< 0.001

REFERENCES

2.5

< 0.001

1. Young TK et al. CMAJ. 2000;163(5):561-6.

2.0

< 0.001

Age-adjusted
GDM
(all years)
GDM
(2009)
Pregestational diabetes
(all years)
Pregestational diabetes
(2009)

First Nations
Non First Nations

A

9

Drug dependant

Crude

Between 2000-2009 there were 433,445 pregnancies in Alberta. Diabetes category
was missing for some records (n = 6,387), thus 427,058 pregnancy records were
explored, of which 28,306 (6.6%) were First Nations women.

30

Variable

Table 2 Crude and age-adjusted prevalence of GDM and pregestational diabetes for all years (n = 427,058) and most recent year of
data (2009; n = 51,231) by ethnicity in Alberta. Values are prevalence per 100 (95% CI).

GDM
(all years)
GDM
(2009)
Pregestational diabetes
(all years)
Pregestational diabetes
(2009)

10

Pregestational diabetes

Significant difference (p < 0.05) between First Nations without diabetes and First Nations with diabetes; † Significant difference (p < 0.05) between First Nations and non-First
Nations without diabetes; ‡ Significant difference (p < 0.05) between First Nations and non-First Nations with diabetes

RESULTS

Figure 1. Age-adjusted prevalence of diabetes in pregnancy over time by ethnicity in Alberta, 2000-2009. A = GDM
prevalence; B = Pregestational diabetes prevalence.

1

Current pregnancy
Multiple pregnancy
PIH
Proteinuria
Insufficient weight gain
Anemia
Pregnancy ≥ 41 weeks
Smoker
Alcohol ≥ 1 drink/day
Alcohol ≥ 3 drinks ever
Drug dependant
Antepartum risk score
Antepartum risk ≥ 7
Labour and newborn
outcomes
Induction of labour
APGAR 1 min
APGAR 5 min
Birth weight (g)
LBW
HBW
Gestational age (m)
Breastfeeding
Preterm
Stillbirth
NICU admission
Congenital anomaly
Cesarean section
Vaginal breech

Between 2000 and 2009, age-adjusted prevalence rates of GDM increased significantly
only among non-First Nations women (Table 3, Figure 1). Prevalence of pregestational
diabetes did not increase longitudinally among either First Nations or non-First Nations
women, and no between group differences (parallelism) were noted.

Rate per 1000 x

It is believed that a complex combination of social, cultural, environmental and genetic
factors have led to Canadian First Nations populations suffering type 2 diabetes rates
that are reportedly 2-5 times higher than the non-First Nations population (1, 2), with
First Nations women being excessively affected (3). In attempts to understand the
causes of this epidemic, the possible contribution of diabetes in pregnancy,
particularly gestational diabetes mellitus (GDM), has received recent attention. In First
Nations populations, it is suggested that diabetes in pregnancy contributes to a
vicious cycle by increasing the risk of type 2 diabetes in both offspring and mothers
(4). Driving this cycle is increasing obesity prevalence in the younger age groups,
coupled with a decrease in the average age of diabetes diagnosis among First
Nations individuals (3, 5). Moreover, fertility/birth rates are 1.5-2 times that of the nonFirst Nations population (6). Hence, pregnancy may be a crucial point for interventions
and appropriate healthcare aimed at ultimately reducing type 2 diabetes rates in First
Nations peoples. Yet, the extent of the problem has not been well explored nor
addressed.

Table 1. Maternal characteristics, antenatal risk factors and pregnancy outcomes of pregnancies (n = 427,058) by ethnicity and
diabetes in pregnancy status in Alberta, 2000-2009. Values are prevalence per 100 (95% CI) or mean (SD) as appropriate.

x

INTRODUCTION

Department of Medicine, University of Alberta

Rate, %

Richard T. Oster and Ellen L. Toth

IMPLICATIONS

3. Dyck R et al. CMAJ. 2010;182(3):249-56.
5. Shields M. Statistics Canada; 2006.
7. Creswell J, Plano Clark VL. SAGE Publications; 2011.

2. King M et al. Lancet. 2009;374(9683):76-85.
4. Osgood ND et al. Am J Public Health. 2011;101(1):173-9.
6. Statistics Canada; 2006.

Más contenido relacionado

Más de Kelli Buckreus

Presentation to the ACCFCR Showcase, May 22, 2013
Presentation to the ACCFCR Showcase, May 22, 2013Presentation to the ACCFCR Showcase, May 22, 2013
Presentation to the ACCFCR Showcase, May 22, 2013
Kelli Buckreus
 

Más de Kelli Buckreus (20)

Driftpile Diabetes News (newsletter) - Vol 1 No 3
Driftpile Diabetes News (newsletter) - Vol 1 No 3Driftpile Diabetes News (newsletter) - Vol 1 No 3
Driftpile Diabetes News (newsletter) - Vol 1 No 3
 
Driftpile Diabetes News (newsletter) - Vol1 No2
Driftpile Diabetes News (newsletter) - Vol1 No2Driftpile Diabetes News (newsletter) - Vol1 No2
Driftpile Diabetes News (newsletter) - Vol1 No2
 
Driftpile Diabetes News (newslette) - Vol1 No1
Driftpile Diabetes News (newslette) - Vol1 No1Driftpile Diabetes News (newslette) - Vol1 No1
Driftpile Diabetes News (newslette) - Vol1 No1
 
Driftpile Diabetes News (newsletter) - Vol 1 No 4
Driftpile Diabetes News (newsletter) - Vol 1 No 4Driftpile Diabetes News (newsletter) - Vol 1 No 4
Driftpile Diabetes News (newsletter) - Vol 1 No 4
 
Presentation to the ACCFCR Showcase, May 22, 2013
Presentation to the ACCFCR Showcase, May 22, 2013Presentation to the ACCFCR Showcase, May 22, 2013
Presentation to the ACCFCR Showcase, May 22, 2013
 
Diabetes care and patient understanding of type 2 diabetes in remote, rural A...
Diabetes care and patient understanding of type 2 diabetes in remote, rural A...Diabetes care and patient understanding of type 2 diabetes in remote, rural A...
Diabetes care and patient understanding of type 2 diabetes in remote, rural A...
 
Results of a survey to assess patient memory of diagnosis and compliance with...
Results of a survey to assess patient memory of diagnosis and compliance with...Results of a survey to assess patient memory of diagnosis and compliance with...
Results of a survey to assess patient memory of diagnosis and compliance with...
 
Screening Métis clients in Alberta for undiagnosed diabetes and cardiovascula...
Screening Métis clients in Alberta for undiagnosed diabetes and cardiovascula...Screening Métis clients in Alberta for undiagnosed diabetes and cardiovascula...
Screening Métis clients in Alberta for undiagnosed diabetes and cardiovascula...
 
Tracking rates of diabetes amongst Status Aboriginal and general population y...
Tracking rates of diabetes amongst Status Aboriginal and general population y...Tracking rates of diabetes amongst Status Aboriginal and general population y...
Tracking rates of diabetes amongst Status Aboriginal and general population y...
 
Screening for diabetes in Indigenous communities in Alberta, Canada: reframin...
Screening for diabetes in Indigenous communities in Alberta, Canada: reframin...Screening for diabetes in Indigenous communities in Alberta, Canada: reframin...
Screening for diabetes in Indigenous communities in Alberta, Canada: reframin...
 
Screening for diabetes and its complications as part of the Alberta Diabetes ...
Screening for diabetes and its complications as part of the Alberta Diabetes ...Screening for diabetes and its complications as part of the Alberta Diabetes ...
Screening for diabetes and its complications as part of the Alberta Diabetes ...
 
Prevalence of metabolic syndrome amongst Canadian Aboriginals attending a scr...
Prevalence of metabolic syndrome amongst Canadian Aboriginals attending a scr...Prevalence of metabolic syndrome amongst Canadian Aboriginals attending a scr...
Prevalence of metabolic syndrome amongst Canadian Aboriginals attending a scr...
 
Predictors of A1c among women with a history of gestational diabetes in Abori...
Predictors of A1c among women with a history of gestational diabetes in Abori...Predictors of A1c among women with a history of gestational diabetes in Abori...
Predictors of A1c among women with a history of gestational diabetes in Abori...
 
Health outcomes of Aboriginal individuals with early onset diabetes
Health outcomes of Aboriginal individuals with early onset diabetesHealth outcomes of Aboriginal individuals with early onset diabetes
Health outcomes of Aboriginal individuals with early onset diabetes
 
Cardiovascular and diabetes risk profiles of children and adolescents attendi...
Cardiovascular and diabetes risk profiles of children and adolescents attendi...Cardiovascular and diabetes risk profiles of children and adolescents attendi...
Cardiovascular and diabetes risk profiles of children and adolescents attendi...
 
Fitness improvements amongst children in one Alberta First Nation after eight...
Fitness improvements amongst children in one Alberta First Nation after eight...Fitness improvements amongst children in one Alberta First Nation after eight...
Fitness improvements amongst children in one Alberta First Nation after eight...
 
Rationale and design of the Mobile Diabetes Screening Initiative (MDSI) for A...
Rationale and design of the Mobile Diabetes Screening Initiative (MDSI) for A...Rationale and design of the Mobile Diabetes Screening Initiative (MDSI) for A...
Rationale and design of the Mobile Diabetes Screening Initiative (MDSI) for A...
 
Partnerships to address the diabetes epidemic in Aboriginal Communities in Al...
Partnerships to address the diabetes epidemic in Aboriginal Communities in Al...Partnerships to address the diabetes epidemic in Aboriginal Communities in Al...
Partnerships to address the diabetes epidemic in Aboriginal Communities in Al...
 
Preventing Diabetes in Aboriginal Communities: To Screen or Not To Screen
Preventing Diabetes in Aboriginal Communities: To Screen or Not To ScreenPreventing Diabetes in Aboriginal Communities: To Screen or Not To Screen
Preventing Diabetes in Aboriginal Communities: To Screen or Not To Screen
 
“Good News” and “Bad News”: Results of Screening for Diabetes, Cardiovascular...
“Good News” and “Bad News”: Results of Screening for Diabetes, Cardiovascular...“Good News” and “Bad News”: Results of Screening for Diabetes, Cardiovascular...
“Good News” and “Bad News”: Results of Screening for Diabetes, Cardiovascular...
 

Último

❤️Amritsar Escorts Service☎️9815674956☎️ Call Girl service in Amritsar☎️ Amri...
❤️Amritsar Escorts Service☎️9815674956☎️ Call Girl service in Amritsar☎️ Amri...❤️Amritsar Escorts Service☎️9815674956☎️ Call Girl service in Amritsar☎️ Amri...
❤️Amritsar Escorts Service☎️9815674956☎️ Call Girl service in Amritsar☎️ Amri...
Sheetaleventcompany
 
Goa Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Goa No💰Advanc...
Goa Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Goa No💰Advanc...Goa Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Goa No💰Advanc...
Goa Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Goa No💰Advanc...
Sheetaleventcompany
 
Difference Between Skeletal Smooth and Cardiac Muscles
Difference Between Skeletal Smooth and Cardiac MusclesDifference Between Skeletal Smooth and Cardiac Muscles
Difference Between Skeletal Smooth and Cardiac Muscles
MedicoseAcademics
 
💚Chandigarh Call Girls Service 💯Piya 📲🔝8868886958🔝Call Girls In Chandigarh No...
💚Chandigarh Call Girls Service 💯Piya 📲🔝8868886958🔝Call Girls In Chandigarh No...💚Chandigarh Call Girls Service 💯Piya 📲🔝8868886958🔝Call Girls In Chandigarh No...
💚Chandigarh Call Girls Service 💯Piya 📲🔝8868886958🔝Call Girls In Chandigarh No...
Sheetaleventcompany
 
Premium Call Girls Nagpur {9xx000xx09} ❤️VVIP POOJA Call Girls in Nagpur Maha...
Premium Call Girls Nagpur {9xx000xx09} ❤️VVIP POOJA Call Girls in Nagpur Maha...Premium Call Girls Nagpur {9xx000xx09} ❤️VVIP POOJA Call Girls in Nagpur Maha...
Premium Call Girls Nagpur {9xx000xx09} ❤️VVIP POOJA Call Girls in Nagpur Maha...
Sheetaleventcompany
 
Pune Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Pune No💰Adva...
Pune Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Pune No💰Adva...Pune Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Pune No💰Adva...
Pune Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Pune No💰Adva...
Sheetaleventcompany
 
Call Girl In Indore 📞9235973566📞 Just📲 Call Inaaya Indore Call Girls Service ...
Call Girl In Indore 📞9235973566📞 Just📲 Call Inaaya Indore Call Girls Service ...Call Girl In Indore 📞9235973566📞 Just📲 Call Inaaya Indore Call Girls Service ...
Call Girl In Indore 📞9235973566📞 Just📲 Call Inaaya Indore Call Girls Service ...
Sheetaleventcompany
 

Último (20)

❤️Amritsar Escorts Service☎️9815674956☎️ Call Girl service in Amritsar☎️ Amri...
❤️Amritsar Escorts Service☎️9815674956☎️ Call Girl service in Amritsar☎️ Amri...❤️Amritsar Escorts Service☎️9815674956☎️ Call Girl service in Amritsar☎️ Amri...
❤️Amritsar Escorts Service☎️9815674956☎️ Call Girl service in Amritsar☎️ Amri...
 
Gastric Cancer: Сlinical Implementation of Artificial Intelligence, Synergeti...
Gastric Cancer: Сlinical Implementation of Artificial Intelligence, Synergeti...Gastric Cancer: Сlinical Implementation of Artificial Intelligence, Synergeti...
Gastric Cancer: Сlinical Implementation of Artificial Intelligence, Synergeti...
 
Call Girl In Chandigarh 📞9809698092📞 Just📲 Call Inaaya Chandigarh Call Girls ...
Call Girl In Chandigarh 📞9809698092📞 Just📲 Call Inaaya Chandigarh Call Girls ...Call Girl In Chandigarh 📞9809698092📞 Just📲 Call Inaaya Chandigarh Call Girls ...
Call Girl In Chandigarh 📞9809698092📞 Just📲 Call Inaaya Chandigarh Call Girls ...
 
Chennai ❣️ Call Girl 6378878445 Call Girls in Chennai Escort service book now
Chennai ❣️ Call Girl 6378878445 Call Girls in Chennai Escort service book nowChennai ❣️ Call Girl 6378878445 Call Girls in Chennai Escort service book now
Chennai ❣️ Call Girl 6378878445 Call Girls in Chennai Escort service book now
 
Cardiac Output, Venous Return, and Their Regulation
Cardiac Output, Venous Return, and Their RegulationCardiac Output, Venous Return, and Their Regulation
Cardiac Output, Venous Return, and Their Regulation
 
Goa Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Goa No💰Advanc...
Goa Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Goa No💰Advanc...Goa Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Goa No💰Advanc...
Goa Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Goa No💰Advanc...
 
(RIYA)🎄Airhostess Call Girl Jaipur Call Now 8445551418 Premium Collection Of ...
(RIYA)🎄Airhostess Call Girl Jaipur Call Now 8445551418 Premium Collection Of ...(RIYA)🎄Airhostess Call Girl Jaipur Call Now 8445551418 Premium Collection Of ...
(RIYA)🎄Airhostess Call Girl Jaipur Call Now 8445551418 Premium Collection Of ...
 
Call Girls Kathua Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Kathua Just Call 8250077686 Top Class Call Girl Service AvailableCall Girls Kathua Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Kathua Just Call 8250077686 Top Class Call Girl Service Available
 
Call Girls Shahdol Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Shahdol Just Call 8250077686 Top Class Call Girl Service AvailableCall Girls Shahdol Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Shahdol Just Call 8250077686 Top Class Call Girl Service Available
 
Kolkata Call Girls Shobhabazar 💯Call Us 🔝 8005736733 🔝 💃 Top Class Call Gir...
Kolkata Call Girls Shobhabazar  💯Call Us 🔝 8005736733 🔝 💃  Top Class Call Gir...Kolkata Call Girls Shobhabazar  💯Call Us 🔝 8005736733 🔝 💃  Top Class Call Gir...
Kolkata Call Girls Shobhabazar 💯Call Us 🔝 8005736733 🔝 💃 Top Class Call Gir...
 
Difference Between Skeletal Smooth and Cardiac Muscles
Difference Between Skeletal Smooth and Cardiac MusclesDifference Between Skeletal Smooth and Cardiac Muscles
Difference Between Skeletal Smooth and Cardiac Muscles
 
💚Chandigarh Call Girls Service 💯Piya 📲🔝8868886958🔝Call Girls In Chandigarh No...
💚Chandigarh Call Girls Service 💯Piya 📲🔝8868886958🔝Call Girls In Chandigarh No...💚Chandigarh Call Girls Service 💯Piya 📲🔝8868886958🔝Call Girls In Chandigarh No...
💚Chandigarh Call Girls Service 💯Piya 📲🔝8868886958🔝Call Girls In Chandigarh No...
 
Chandigarh Call Girls Service ❤️🍑 9809698092 👄🫦Independent Escort Service Cha...
Chandigarh Call Girls Service ❤️🍑 9809698092 👄🫦Independent Escort Service Cha...Chandigarh Call Girls Service ❤️🍑 9809698092 👄🫦Independent Escort Service Cha...
Chandigarh Call Girls Service ❤️🍑 9809698092 👄🫦Independent Escort Service Cha...
 
Premium Call Girls Nagpur {9xx000xx09} ❤️VVIP POOJA Call Girls in Nagpur Maha...
Premium Call Girls Nagpur {9xx000xx09} ❤️VVIP POOJA Call Girls in Nagpur Maha...Premium Call Girls Nagpur {9xx000xx09} ❤️VVIP POOJA Call Girls in Nagpur Maha...
Premium Call Girls Nagpur {9xx000xx09} ❤️VVIP POOJA Call Girls in Nagpur Maha...
 
Low Cost Call Girls Bangalore {9179660964} ❤️VVIP NISHA Call Girls in Bangalo...
Low Cost Call Girls Bangalore {9179660964} ❤️VVIP NISHA Call Girls in Bangalo...Low Cost Call Girls Bangalore {9179660964} ❤️VVIP NISHA Call Girls in Bangalo...
Low Cost Call Girls Bangalore {9179660964} ❤️VVIP NISHA Call Girls in Bangalo...
 
tongue disease lecture Dr Assadawy legacy
tongue disease lecture Dr Assadawy legacytongue disease lecture Dr Assadawy legacy
tongue disease lecture Dr Assadawy legacy
 
Pune Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Pune No💰Adva...
Pune Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Pune No💰Adva...Pune Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Pune No💰Adva...
Pune Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Pune No💰Adva...
 
❤️Call Girl Service In Chandigarh☎️9814379184☎️ Call Girl in Chandigarh☎️ Cha...
❤️Call Girl Service In Chandigarh☎️9814379184☎️ Call Girl in Chandigarh☎️ Cha...❤️Call Girl Service In Chandigarh☎️9814379184☎️ Call Girl in Chandigarh☎️ Cha...
❤️Call Girl Service In Chandigarh☎️9814379184☎️ Call Girl in Chandigarh☎️ Cha...
 
Call Girl In Indore 📞9235973566📞 Just📲 Call Inaaya Indore Call Girls Service ...
Call Girl In Indore 📞9235973566📞 Just📲 Call Inaaya Indore Call Girls Service ...Call Girl In Indore 📞9235973566📞 Just📲 Call Inaaya Indore Call Girls Service ...
Call Girl In Indore 📞9235973566📞 Just📲 Call Inaaya Indore Call Girls Service ...
 
Circulatory Shock, types and stages, compensatory mechanisms
Circulatory Shock, types and stages, compensatory mechanismsCirculatory Shock, types and stages, compensatory mechanisms
Circulatory Shock, types and stages, compensatory mechanisms
 

An Epidemiological Profile of Diabetes in Pregnancy among First Nations and non-First Nations Women in Alberta

  • 1. An Epidemiological Profile of Diabetes in Pregnancy among First Nations and non-First Nations Women in Alberta This study was part of a larger mixed methods plan aimed at examining diabetes in pregnancy among Aboriginal women, with the ultimate goal of developing interventions that can effectively improve care for diabetes in pregnancy. A multiphase mixed methods research approach is being utilized (7), whereby this study encompassed the initial quantitative epidemiology phase. OBJECTIVE To use administrative data from the Alberta Perinatal Health Program (APHP) and Alberta Health & Wellness (AHW) to generate an epidemiological profile of First Nations diabetes in pregnancy. METHODS A longitudinal retrospective observational study design was utilized. Briefly, deidentified data from all delivery records of adult women were obtained from the APHP for the years 2000-2009, and First Nations women were identified by AHW. Pregestational, past obstetrical, and delivery outcomes and problems were described and compared via t-tests and chi-square tests. Annual crude and age-adjusted (direct method) rates of diabetes in pregnancy by ethnicity were calculated and compared via chi-square analysis. Longitudinal changes in prevalence over time were computed and compared via Average Annual Percent Change (AAPC) analysis. The predictors of diabetes in pregnancy were explored via logistic regression analyses. Ethical approval was obtained from the Human Research Ethics Board of the University of Alberta. Women without diabetes (n = 407,855) Women with diabetes (n = 19,173) First Nations (n = 26,793) Non-First Nations (n = 381,092) First Nations (n = 1,513) Non-First Nations (n = 17,660) 24.7 (5.8) 8.1% (7.8-8.4) 6.9% (6.6-7.2) 51.8% (51.2-52.4) 0.4% (0.4-0.5) 10.8% (10.5-11.2) 0.9% (0.8-1.0) 0.1% (0.0-0.1) 28.7 (5.5)† 1.2% (1.2-1.3)† 15.2% (15.0-15.3)† 15.9 (15.8-16.0)† 0.6% (0.5-0.6)† 8.0% (7.9-8.1)† 0.9% (0.9-1.0) 0.1% (0.0-0.1) 28.9 (6.2) 2.7% (3.3-5.6) 20.0% (17.9-22.1) 52.5% (49.9-55.0) 0.7% (0.3-1.2) 31.7% (29.3-34.1) 4.2% (3.3-5.4) 0.3% (0.1-0.8) 31.6 (5.3)‡ 0.2% (0.2-0.3)‡ 30.0% (29.4-30.7)‡ 11.4% (10.9-11.9)‡ 0.7% (0.6-0.8) 18.4% (17.9-19.0)‡ 3.3% (3.0-3.5)‡ 0.1% (0.0-0.2)‡ Pre-existing Age (years) Age ≤ 17 Age ≥ 35 Rural Weight ≤ 45 kg Weight ≥ 91 kg Hypertension Chronic renal disease Past obstetrical Parity Preterm Neonatal death Stillbirth Abortion Cesarean section SGA LGA Major fetal anomaly 1.7 (1.9) 8.3% (7.9-8.7) 1.0% (0.9-1.1) 1.9% (1.7-2.0) 7.3% (6.9-7.6) 11.6% (11.2-11.9) 0.7% (0.6-0.8) 1.6% (1.4-1.74 0.8% (0.7-0.9) 0.9 (1.1)† 4.8% (4.7-4.9)† 0.5% (0.5-0.6)† 0.9% (0.8-0.9)† 4.9% (4.9-5.0)† 12.2% (12.1-12.3)† 0.7 % (0.6-0.7) 1.0% (1.00-1.1)† 0.6% (0.5-0.6)† 1.1 (1.4)‡ 7.9% (7.3-8.4)‡ 0.9% (0.8-1.1)‡ 2.2% (2.0-2.4)‡ 6.0% (5.7-6.4)‡ 18.9% (18.3-19.8) 0.7% (0.6-0.9)‡ 3.0% (2.7-3.2)‡ 0.8% (0.7-1.0) 2.2 (2.1) 12.8% (11.0-14.8) 1.7% (1.1-2.4) 5.0% (3.9-6.2) 9.1% (7.7-10.6) 20.2% (18.2-22.3) 0.3% (0.1-0.7) 6.9% (5.7-8.3) 1.1% (0.7-1.8) 2.9% (2.7-3.1) 4.4% (4.2-4.7) 2.4% (2.2-2.6) 1.2% (1.0-1.3) 2.3% (2.1-2.5) 13.8% (13.4-14.3) 54.7% (54.1-55.3) 0.9% (0.8-1.1) 9.5% (9.2-9.9) 6.6% (6.3-6.9) 2.9 (2.7) 10.4% (10.1-10.8) 3.4% (3.3-3.4)† 5.7% (5.6-5.7)† 1.9% (1.9-2.0)† 1.5% (1.4-1.5)† 0.6% (0.5-0.6)† 14.4% (14.3-14.6)† 17.0% (16.9-17.2)† 0.1% (0.0-0.1)† 1.6% (1.5-1.6)† 0.9% (0.8-0.9)† 2.1 (2.2)† 5.1% (5.1-5.2)† 3.5% (2.6-4.6) 8.1% (6.7-9.7) 5.6% (4.5-6.9) 1.5% (0.9-2.2) 1.3% (0.8-2.0) 5.1% (4.1-6.3) 49.4% (46.8-51.9) 0.6% (0.3-1.2) 7.2% (5.9-8.6) 3.5% (2.6-4.6) 5.6 (3.6) 30.7% (28.4-33.1) 3.9% (3.6-4.3) 12.2% (11.7-12.7) 3.9% (3.9-4.2)‡ 2.2% (2.0-2.5)‡ 0.5% (0.4-0.7)‡ 4.3% (4.1-4.7) 14.3% (13.8-14.8)‡ 0.1% (0.0-0.1)‡ 0.9% (0.8-1.04)‡ 0.4% (0.3-0.5)‡ 4.4 (3.0)‡ 19.8% (19.2-2.4)‡ 23.8% (23.1-24.3) 7.8 (2.0) 8.9 (1.4) 3411.5 (706.0) 8.0% (7.6-8.3) 16.7% (16.3-17.2) 38.5 (2.7) 71.2% (70.5-72.8) 9.2% (8.9-9.6) 1.2% (1.1-1.3) 8.6% (8.3-9.0) 1.8% (1.6-2.0) 19.1% (18.6-19.5) 0.9% (0.8-1.0) 27.3% (27.1-27.4)† 7.9 (1.7)† 8.8 (1.1)† 3338.5 (620.8)† 7.1% (7.0-7.2)† 11.1% (10.9-11.1)† 38.7 (2.4)† 88.3% (88.2-88.6)† 8.8% (8.7-8.9)† 0.7% (0.6-0.7)† 11.2% (11.1-11.3)† 1.5% (1.4-1.5)† 25.5% (25.4-25.6)† 0.6% (0.5-0.6)† 41.7% (39.2-44.2) 7.5 (2.1) 8.6 (1.6) 3577.5 (805.4) 7.2% (6.0-8.6) 29.3% (27.0-31.6) 37.8 (2.6) 74.7% (69.3-79.6) 17.3% (15.4-19.3) 2.1% (1.5-2.9) 16.7% (14.8-15.7) 1.4% (0.8-2.3) 35.4% (33.0-37.8) 0.9% (0.5-1.5) 40.9% (40.2-41.7) 7.8 (1.9)‡ 8.8 (1.1)‡ 3326.8 (65.1)‡ 8.6% (8.2-9.0) 12.9% (12.4-13.4)‡ 38.0 (2.1)‡ 86.3% (85.4-87.1)‡ 14.7% (14.2-15.3)‡ 0.6% (0.5-0.8)‡ 19.4% (18.8-20.0)‡ 1.7% (1.5-2.1) 39.8% (39.0-40.9)‡ 0.4% (0.3-0.5)‡ First Nations Non-First Nations Rate ratio* p-value In general, First Nations women tended to have more risk factors and poorer outcomes than non-First Nations (Table 1). The majority of these differences by ethnicity persisted when comparing only those pregnancies affected by diabetes. Among First Nations women alone, those with diabetes tended to have more pregnancy risk factors and poorer outcomes. As opposed to those women with GDM, those with pregestational diabetes were more likely to have antenatal risk factors and adverse infant outcomes (data not shown). Both overall crude and age-adjusted GDM and pregesational diabetes prevalence were significantly elevated for First Nations women in contrast to non-First Nations women (Table 2). * First Nations-to-non-First Nations 8 7 6 5 4 3 2 First Nations B Non First Nations 25 20 15 10 5 0 0 2000 2001 2002 2003 2004 2005 2006 2007 4.3% (4.26-4.38) 4.9% (4.16-4.63) 1.0% (1.01-1.03) 1.1% (0.76-1.49) 3.8% (3.77-3.89) 4.8% (4.60-4.98) 0.6% (0.58-0.62) 0.7% (0.60-0.75) 6.1% (5.99-6.13) 6.9% (6.79-6.94) 1.5% (1.43-1.50) 1.4% (1.33-1.39) 3.8% (3.74-3.85) 4.6% (4.58-4.70) 0.6% (0.57-0.62) 0.7% (0.64-0.71) 2008 2009 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 Table 3. Ethnicity comparisons of GDM and pregestational diabetes prevalence over time in Alberta, 2000-2009. Values are AAPC (95% CI) in age-adjusted rates. First Nations Non-First Nations 1.51 (-2.04-5.20) 1.55 (-4.68-8.19) GDM 4.48*† (2.88-6.11) 1.35 (-0.38-3.12)  p < 0.05 for AAPC; † p < 0.05 for difference in AAPC between ethnicities In addition to previously identified risk factors (age ≥ 35, weight ≥ 91 kg, hypertension, First Nations ethnicity), history of stillbirth, history of cesarean section, history of abortion, history of LGA infant, and proteinuria are also independent novel predictors of diabetes in pregnancy (Table 4). Table 4. Multivariate predictors of GDM and pregestational diabetes among Albertan women by ethnicity. Values are ORs (95% CI). First Nations ethnicity Rural residence Age ≤ 17 Age ≥ 35 Weight ≥ 91 kg Pre-existing hypertension History of stillbirth History of abortion History of cesarean section History of SGA History of LGA Proteinuria Smoker Alcohol anytime‡ All women (n = 427,058) OR (95% CI) OR (95% CI) for pregestational for GDM diabetes 1.47 1.73 † (1.38-1.57) (1.52-1.96) 0.69 -(0.66-0.73)† 0.35 0.29 (0.28-0.45)† (0.16-0.52)† 2.34 1.57 † (2.26-2.42) (1.43-1.72)† 2.51 2.31 † (2.40-2.61) (2.10-2.54)† 1.63 4.45 † (1.45-1.84) (3.82-5.43)† 1.96 2.56 † (1.75-2.18) (2.07-3.18)† 1.42 -(1.23-1.64)† 1.37 1.76 † (1.32-1.43) (1.61-1.94)† 0.53 -(0.29-0.96)† 2.79 -(2.31-3.39)† 1.61 2.62 † (1.48-1.76) (2.23-3.08)† 0.90 -(0.86-0.94)† 0.51 -(0.41-0.63)† 0.68 -(0.50-0.93)† First Nations (n = 28,306) OR (95% CI) for GDM OR (95% CI) for pregestational diabetes -- -- -- -- 0.48 (0.34-0.67)† 2.81 (2.41-3.27)† 2.93 (2.56-3.33)† 1.40 (1.20-1.63)† 0.42 (0.18-0.94)† 2.23 (1.64-3.02)† 3.25 (2.52-4.18)† 5.09 (3.03-8.58)† 3.05 (1.93-4.81)† 1.58 (1.11-2.25)† 1.88 (1.41-2.47)† -- -- 2.58 (1.99-3.35)† 1.85 (1.40-2.44)† 3.23 (2.10-4.97)† 2.05 (1.26-3.32)† -- -- 0.54 (0.39-0.74)† -- -- -- -1.76 (1.30-2.38)† --  Compared to age 18-34; † p < 0.01 for OR; ‡ To reduce co-linearity, the variables alcohol ≥ 1 drink per day and alcohol ≥ 3 drinks ever were combined 1.1 < 0.001 1.0 0.861 1.7 < 0.001 1.6 < 0.001 1.6 < 0.001 Although First Nations women in Alberta suffer higher overall diabetes in pregnancy prevalence, the longitudinal stability of rates is encouraging. However, as high-risk pregnancies and poor outcomes are more common among First Nations women, particularly those with diabetes, efforts must be made to improve pregnancy care. 1.5 < 0.001 REFERENCES 2.5 < 0.001 1. Young TK et al. CMAJ. 2000;163(5):561-6. 2.0 < 0.001 Age-adjusted GDM (all years) GDM (2009) Pregestational diabetes (all years) Pregestational diabetes (2009) First Nations Non First Nations A 9 Drug dependant Crude Between 2000-2009 there were 433,445 pregnancies in Alberta. Diabetes category was missing for some records (n = 6,387), thus 427,058 pregnancy records were explored, of which 28,306 (6.6%) were First Nations women. 30 Variable Table 2 Crude and age-adjusted prevalence of GDM and pregestational diabetes for all years (n = 427,058) and most recent year of data (2009; n = 51,231) by ethnicity in Alberta. Values are prevalence per 100 (95% CI). GDM (all years) GDM (2009) Pregestational diabetes (all years) Pregestational diabetes (2009) 10 Pregestational diabetes Significant difference (p < 0.05) between First Nations without diabetes and First Nations with diabetes; † Significant difference (p < 0.05) between First Nations and non-First Nations without diabetes; ‡ Significant difference (p < 0.05) between First Nations and non-First Nations with diabetes RESULTS Figure 1. Age-adjusted prevalence of diabetes in pregnancy over time by ethnicity in Alberta, 2000-2009. A = GDM prevalence; B = Pregestational diabetes prevalence. 1 Current pregnancy Multiple pregnancy PIH Proteinuria Insufficient weight gain Anemia Pregnancy ≥ 41 weeks Smoker Alcohol ≥ 1 drink/day Alcohol ≥ 3 drinks ever Drug dependant Antepartum risk score Antepartum risk ≥ 7 Labour and newborn outcomes Induction of labour APGAR 1 min APGAR 5 min Birth weight (g) LBW HBW Gestational age (m) Breastfeeding Preterm Stillbirth NICU admission Congenital anomaly Cesarean section Vaginal breech Between 2000 and 2009, age-adjusted prevalence rates of GDM increased significantly only among non-First Nations women (Table 3, Figure 1). Prevalence of pregestational diabetes did not increase longitudinally among either First Nations or non-First Nations women, and no between group differences (parallelism) were noted. Rate per 1000 x It is believed that a complex combination of social, cultural, environmental and genetic factors have led to Canadian First Nations populations suffering type 2 diabetes rates that are reportedly 2-5 times higher than the non-First Nations population (1, 2), with First Nations women being excessively affected (3). In attempts to understand the causes of this epidemic, the possible contribution of diabetes in pregnancy, particularly gestational diabetes mellitus (GDM), has received recent attention. In First Nations populations, it is suggested that diabetes in pregnancy contributes to a vicious cycle by increasing the risk of type 2 diabetes in both offspring and mothers (4). Driving this cycle is increasing obesity prevalence in the younger age groups, coupled with a decrease in the average age of diabetes diagnosis among First Nations individuals (3, 5). Moreover, fertility/birth rates are 1.5-2 times that of the nonFirst Nations population (6). Hence, pregnancy may be a crucial point for interventions and appropriate healthcare aimed at ultimately reducing type 2 diabetes rates in First Nations peoples. Yet, the extent of the problem has not been well explored nor addressed. Table 1. Maternal characteristics, antenatal risk factors and pregnancy outcomes of pregnancies (n = 427,058) by ethnicity and diabetes in pregnancy status in Alberta, 2000-2009. Values are prevalence per 100 (95% CI) or mean (SD) as appropriate. x INTRODUCTION Department of Medicine, University of Alberta Rate, % Richard T. Oster and Ellen L. Toth IMPLICATIONS 3. Dyck R et al. CMAJ. 2010;182(3):249-56. 5. Shields M. Statistics Canada; 2006. 7. Creswell J, Plano Clark VL. SAGE Publications; 2011. 2. King M et al. Lancet. 2009;374(9683):76-85. 4. Osgood ND et al. Am J Public Health. 2011;101(1):173-9. 6. Statistics Canada; 2006.