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Obesity Update 2014 
Susan S. Beland, M.D. 
Associate Professor 
General Internal Medicine
The Case 
 35-year-old woman 
 5’4” tall, weight 190 lbs (BMI = 32.6 kg/m2) 
 BP 150/100 
 FBS 240, HbA1C 8.5% 
 LDL 180 
 Strong family history of diabetes, HTN, and CHD 
 Referred to dietician, started on lisinopril, metformin, 
and statin; also instructed to begin a walking program. 
 We can treat these problems, but how successful will we 
be on changing her underlying problem of obesity?
History of Obesity 
 Term “obesity” does not appear in English language 
until the 17th century. 
 Prior to modern times, corpulence was associated 
with power and influence. 
 Art in Middle Ages and Renaissance portrays 
statuesque women (Michelangelo and Rubens). 
 In literature, the corpulent were portrayed as jolly 
and lovable. 
 Not until the latter half of the 20th century did obesity 
become stigmatized.
History of Obesity (Cont.) 
 Burden of disease was that of pestilence and famine for 
early hunter-gatherers in prehistoric times. 
 Natural selection rewarded the “thrifty” genotypes of 
those who could store the greatest amount of fat. 
 Discovery of agriculture and domestication of animals 
gradually reduced the precarious food supply. 
 Hunger remained and the Bible is filled with food 
imagery (promise of a land of milk and honey, etc.).
Obesity in Art and Literature 
“Let me have men about me 
that are fat, sleek-headed men 
and such as sleep a nights. 
Yon Cassius has a lean and 
hungry look. He thinks too 
much.” 
Julius Caesar, Shakespeare 
“Falstaff sweats to 
death, and lards the lean 
earth as he walks along” 
Henry IV, Shakespeare
Obesity in Art and Literature 
“But wait a bit,” the Oysters 
cried, “before we have our chat. 
For some of us are out of breath, 
and all of us are fat!” 
“Through the Looking Glass”, Lewis Carroll 
“No woman can 
ever be too rich or 
too thin.” 
Duchess of Windsor
NY Times 1894
Definition of Obesity 
Body Mass Index (BMI; kg/m2) is the most helpful 
measure: 
 Underweight = <18.5 
 Normal BMI = 20.0 - 24.9 
 Overweight = 25.0 - 29.9 
 Class I = 30.0 - 34.9 
 Class II = 35.0 - 39.9 
 Class III = >40.0
Complications of Obesity 
 Hypertension 
 Hyperlipidemia 
 Metabolic syndrome 
 Coronary heart disease 
 Type II diabetes 
 Respiratory disease (OSA) 
 Gastrointestinal disease (NAFLD and NASH) 
 Cancer 
 Rheumatologic disease (osteoarthritis, gout) 
 Psychiatric 
 Increased risk of mortality
Geographic Distribution of Obesity
Geographic Distribution of Smokers
Demographics of Obesity 
 Results from 2011-12 National Health and Nutrition 
Examination Survey (NHANES). 
 9100 participants in cross-sectional national surveys. 
 Last survey completed in 2003-04. 
Odgen et al., JAMA 311:806-814 (2014)
Demographics of Obesity 
Overweight or obese Obese 
White men 72.7% 33.4% 
Black men 69.1% 37.0% 
Hispanic men 77.9% 40.1% 
White women 64.6% 33.7 % 
Black women 82.1% 56.7% 
Hispanic women 76.2% 
43.3% 
Overall 33.7% of men and 36.5% of women were obese, 
and 6.4% overall had class III obesity. 
No significant increase since the last survey in 2003-04.
Body-Mass Index and Cause-Specific 
Mortality in 900,000 Adults: Collaborative 
Analyses of 57 Prospective Studies 
 900,000 participants, primarily from Western Europe 
and North America. 
 Mean age 46. 
 Analysis adjusted for age, sex and smoking status. 
 Mortality lowest at BMI of 22.5 - 25.0. 
 BMI 30 - 35, median survival reduced by 2 - 4 years. 
 BMI 40 - 45, median survival reduced by 8 - 10 years. 
 BMI < 22.5, excess mortality mainly due to smoking. 
Prospective Studies Collaboration, Lancet 373:1083-1096 (2009)
Body-Mass Index and Cause-Specific 
Mortality in 900,000 Adults: Collaborative 
Analyses of 57 Prospective Studies (Cont.) 
 Overall mortality for each 5 kg/m2 increase was 30%. 
 40% for mortality due to vascular disease. 
 60-120% for diabetic, renal and hepatic mortality. 
 10% for neoplastic mortality. 
 Obesity is approaching cigarette smoking as a 
leading avoidable cause of premature death. 
Prospective Studies Collaboration, Lancet 373:1083-1096 (2009)
Body-Mass Index and Cause-Specific 
Mortality in 900,000 Adults: Collaborative 
Analyses of 57 Prospective Studies (Cont.) 
Cause-Specific Mortality Hazard ratio 
(BMI 25-50) 
Ischemic heart disease 1.39 
Stroke 1.39 
Diabetes 2.16 
Kidney disease 1.59 
Liver disease 1.82 
Respiratory disease 1.20 
All causes 1.29 
Prospective Studies Collaboration, Lancet 373:1083-1096 (2009)
Obesity and Mortality 
 In adult life, it may be easier to avoid substantial 
weight gain than to lose weight. 
 By avoiding a further increase from 28 kg/m2 to 32 
kg/m2, a typical person in early middle age would 
gain ~2 years of life expectancy, and avoiding an 
increase from 24 kg/m2 to 32 kg/m2, a young adult 
would on average gain ~3 extra years of life.
Childhood Obesity
Childhood Obesity 
 Weight >85th percentile defines overweight, and 
>95th percentile defines obesity in children (based 
on standard CDC thresholds). 
 2011-12 NHANES data: 
 Overall, 31.8% of children between 2-19 years 
old are overweight. 
 16.9% are obese, with Hispanic (22.4%) and 
black (20.2%) at greater risk. 
Odgen et al., JAMA 311:806-814 (2014)
Childhood Obesity 
 Data from the Early Childhood Longitudinal Study, 
Kindergarten Class 1998-99. 
 >700 participants followed through 8th grade. 
 At entry (mean age 5.6 yrs) 12.4% were obese and 
14.9% were overweight. 
 By 8th grade (mean age 14.1 yrs) 20.8% were obese 
and 17.0% were overweight. 
 Overweight 5-year-olds were 4x as likely as normal 
weight children to become obese. 
Cunningham et al., NEJM 370:403-411 (2014)
Economic Costs of Obesity 
 Data from US Medical Expenditure Panel Survey 
 Impact on annual medical costs estimated to 
be $3,613 for women and $1,152 for men. 
 Estimate of costs of obesity-related illness is 
$209.7 billion (in 2008 dollars). 
 20.6% of US national health expenditures are 
spent in treating obesity-related illness. 
Cawley & Meyerhoefer, J Health Econ 31:219-230 (2012)
Leptin 
 Control of body weight is complex, involving hormones 
and neurotransmitters. 
 Leptin and the OB gene were discovered in 1994. 
 Secreted by adipocytes - signals brain to reduce food 
intake. 
 Mouse model. 
 Not found to be of use clinically, as obese people have 
increased leptin levels but are resistant to its effects.
There is No Magic Pill 
FTC Cracks Down on Fad Weight-Loss Products
FDA-Approved Diet Pills 
 Phentermine: Amphetamine-like action. 
 Xenical (Orlistat). 
 Contrave (Bupropion/Naltrexone). 
 Qsymia (Phentermine/Topiramate). 
 Belviq (Lorcacerin): 5HT receptor agonist. 
 Concern over cardiovascular events with Qsymia and 
Belviq. Post-marketing trials are not to be completed 
until 2017. 
 Meridia (Sibutramine) was one of the most popular pills 
but was taken off the market due to cardiovascular risks. 
 Fenfluramine/Phentermine (Fen-Phen) also banned due to 
risk of pulmonary HTN and valvular heart disease.
FDA Approved Diet Pills (Cont.) 
 None is approved for long-term use. 
 Weight loss benefits modest at best. 
 FDA approval only for BMI >30 (or BMI >27, 
with a weight-related illness).
Diets and Weight Loss 
 Many diet fads have come and gone over the years. 
 General agreement that if dieting is going to work 
long-term, weight loss must be accomplished slowly 
and consistently. 
 Diets only work if people adhere to them. 
 “Miracle diets” that cause acute weight loss 
invariably fail. 
 Long-term success rates are low for many reasons: 
 Set-point theory of weight control. 
 Failure to make behavioral modifications. 
 Adherence to restrictive regimens diminishes with 
time.
Comparative Effectiveness of Weight- 
Loss Interventions in Clinical Practice 
 415 obese patients with at least one cardiovascular 
risk factor recruited from primary care practices. 
 Two behavioral interventions: 
 Remote support through telephone, web site, 
and email. 
 In-person support with group and individual 
sessions + the three remote means. 
 Control group weight loss was self-directed. 
 PCP’s had a supportive role and received regular 
progress reports. 
Appel et al., NEJM 365:1959-1968 (2011)
Comparative Effectiveness of Weight- 
Loss Interventions in Clinical Practice 
(Cont.) 
Appel et al., NEJM 365:1959-1968 (2011)
Effects of Low-Carbohydrate and Low- 
Fat Diets: A Randomized Trial 
 147 adults with BMI 30 - 45. 
 73 randomized to low fat diet (< 30% of intake). 
 75 randomized to low carbohydrate diet (< 40 
g/day). 
 Total caloric intake was similar in each group. 
 At 12 months, low carb group had significantly 
greater weight loss (5.3 kg vs. 1.8 kg), increase 
in HDL, and decrease in Framingham 10-year 
CHD risk score. 
Bazzano et al., Ann Intern Med 161:309-318 (2014)
Effects of Dietary Composition on 
Energy Expenditure During Weight-Loss 
Maintenance 
 Maintaining significant weight loss over the long 
term is problematic. 
 Hypothesis is that weight loss leads to decline in 
energy expenditure and an increase in hunger, 
resulting in weight gain. 
 Examined effects of 3 diets on energy expenditure 
after weight loss. 
 21 young adults with BMI >27. 
 Run-in diets achieved 10-15% weight loss. 
Ebbeling et al., JAMA 307:2627-2634 (2012)
Effects of Dietary Composition on 
Energy Expenditure During Weight-Loss 
Maintenance (Cont.) 
 3 diets: 
 Isocaloric low-fat (60% carbs, 20% fat, & 20% protein). 
 Low-glycemic index (40% carbs, 40% fat, & 20% 
protein). 
 Very low carbohydrate (10% carbs, 60% fat, & 30% 
protein). 
 All participants were fed each diet in random order 
for 4 weeks each. 
 Resting energy expenditure (REE) measured by 
indirect calorimetry. 
Ebbeling et al., JAMA 307:2627-2634 (2012)
Effects of Dietary Composition on 
Energy Expenditure During Weight-Loss 
Maintenance (Cont.) 
 Decrease from baseline REE was greatest in the low-fat 
diet (-205 kcal/d). 
 Low glycemic index diet decrease was -166 kcal/d. 
 Very low carbohydrate decrease was -138 kcal/d. 
 Total energy expenditure showed a similar pattern. 
 Authors maintain that this study challenges the notion 
that a calorie is a calorie from a metabolic perspective. 
 Very low carbohydrate diets are likely not to work in 
practice due to adherence issues. 
 Moderate carbohydrate restriction seems to be of benefit.
Long-Term Persistence of Hormonal 
Adaptations to Weight Loss 
Caloric restriction results in reduction of 
circulating leptin as well as other neuropeptides 
that control appetite. 
One year after initial weight reduction, levels of 
these mediators of appetite that encourage 
weight regain do not revert to the levels 
recorded before weight loss. 
Sumithran et al., NEJM 365:1597-1604 (2011)
Exercise and Weight Loss 
 Exercise alone does not result in significant 
weight loss. 
 Increased activity should, however, be a part of 
any weight loss strategy. 
 NHANES data show that about 50% of all 
Americans do not have any significant physical 
activity. 
 Even in the overweight and obese, exercise can 
lower risks, especially for CHD.
The Sugar Connection 
O 
O 
OH 
OH 
HO 
OH 
OH 
OH 
OH 
O 
HO 
Glucose + Fructose 
Sucrose
Sugar Intake and Obesity 
Lustig et al., Nature 482:27-29 (2012)
Sugar Intake and Obesity (Cont.) 
 Sugar consumption has tripled worldwide over the 
past 50 years, primarily due to added sugars 
 Sugar is added to nearly all processed foods, often in 
the form of high fructose corn syrup. 
 High fructose corn syrup is composed of 55% 
fructose, which is not vastly different from sucrose. 
 There is growing evidence that fructose intake is 
linked to several chronic diseases: 
 Metabolic syndrome 
 Obesity 
 Hypertension 
 Dyslipidemia 
 Hepatic dysfunction (NASH)
Metabolism of Glucose and Fructose 
Glucose 
Insulin 
Liver 
Glucose-6-phosphate 
Glycogen 
80% Brain and muscle 
2% Pyruvate Acetyl CoA 
FFA’s 
VLDL 
Glucokinase
Metabolism of Glucose and Fructose 
(Cont.) 
Fructose (Nearly all ingested 
fructose goes to the 
liver) 
Liver 
(Only a small amount of 
fructose is converted to 
glycogen under normal 
circumstances) 
Fructose-1-phosphate 
Pyruvate Acetyl CoA de novo 
lipogenesis 
Fructokinase
Fructose: It’s “Alcohol Without the Buzz” 
 Ethanol enters the liver through osmosis, and is 
metabolized to acetaldehyde 
 This can generate reactive oxygen species 
 Large doses of ethanol result in metabolism to 
acetyl CoA and the generation of FFA’s 
 “The dose determines the “poison”of either 
ethanol or fructose, since both uniquely drive de 
novo lipogenesis, leading to fatty liver, 
inflammation, and insulin resistance.” 
Lustig, Adv Nutr 4:226-235 (2013)
The Toxic Truth About Sugar 
 Sugar consumption is linked to a rise in non-communicable 
disease. 
 Sugar’s effects on the body can be similar to 
those of alcohol. 
 Regulation could include tax, limiting sales 
during school hours, and/or placing age limit 
on purchases. 
Lustig et al., Nature 482:27-29 (2012)
Nation’s First Soda Tax Is Passed 
 Berkeley, Calif., became the first U.S. city to pass a 
law taxing sugary drinks including sodas. 
 More than three-quarters of the votes cast were in 
favor of Measure D, according to the Alameda 
County Registrar of Voters. The measure will place a 
1-cent-an-ounce tax on soft drinks. 
 In nearby San Francisco, city voters rejected a 
similar measure to tax sugary drinks. 
USA Today 5 Nov 14
F Stands for Fructose and Fat 
 In overweight humans, diet high in fructose (25% 
of total caloric intake) promotes development of 
the metabolic syndrome. 
 Mice lacking the enzyme fructokinase are 
incapable of processing fructose. 
 Wild type mice fed a Western diet (high in fat and 
sucrose) developed severe non-alcoholic 
steatohepatitis, while the mice lacking 
fructokinase did not. 
Lyssiotis & Cantley, Nature 502:181-183 (2013)
Storm Brewing Over WHO Sugar 
Proposal 
Industry Backlash Expected Over Suggested Cut 
12-ounce serving of Coke 
contains 38 grams of sugar 
and 140 calories 
1 g ≈ 4 cal 
1 teaspoon ≈ 4 g = 16 cal 
Owens, Nature 507:150 (2014) 
in Intake
WHO Sugar Proposal (Cont.) 
 In 2003, proposed guideline that no more than 10% 
of daily calories should come from sugar. 
 Current proposal cuts this in half to 5%, citing the 
need to fight obesity. 
 Sugar in the average person should only account 
for 100 cal/day which translates to ~26 grams or 6 
teaspoons 
 Opposed by the food industry – “If people follow 
this advice, that would be very bad for business”. 
Owens, Nature 507:150 (2014)
WHO Sugar Proposal (Cont.) 
Owens, Nature 507:150 (2014)
Summary 
 One-third of Americans are obese. 
 Obesity has a significant impact on morbidity and 
mortality, approaching that of cigarette smoking. 
 Diets work only if adhered to and lifestyle is 
modified. 
 Long-term maintenance of weight loss remains 
problematic. 
 Obesity in children is increasing and fat children 
tend to become fat adults. 
 Sugar consumption is a major factor in obesity and 
related diseases due to increased caloric intake and 
the effects of fructose metabolism. 
 There is no magic bullet - “We are what we eat.”
Comments or questions?

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Obesity Grand Rounds by Dr. Susan Beland

  • 1. Obesity Update 2014 Susan S. Beland, M.D. Associate Professor General Internal Medicine
  • 2. The Case  35-year-old woman  5’4” tall, weight 190 lbs (BMI = 32.6 kg/m2)  BP 150/100  FBS 240, HbA1C 8.5%  LDL 180  Strong family history of diabetes, HTN, and CHD  Referred to dietician, started on lisinopril, metformin, and statin; also instructed to begin a walking program.  We can treat these problems, but how successful will we be on changing her underlying problem of obesity?
  • 3. History of Obesity  Term “obesity” does not appear in English language until the 17th century.  Prior to modern times, corpulence was associated with power and influence.  Art in Middle Ages and Renaissance portrays statuesque women (Michelangelo and Rubens).  In literature, the corpulent were portrayed as jolly and lovable.  Not until the latter half of the 20th century did obesity become stigmatized.
  • 4. History of Obesity (Cont.)  Burden of disease was that of pestilence and famine for early hunter-gatherers in prehistoric times.  Natural selection rewarded the “thrifty” genotypes of those who could store the greatest amount of fat.  Discovery of agriculture and domestication of animals gradually reduced the precarious food supply.  Hunger remained and the Bible is filled with food imagery (promise of a land of milk and honey, etc.).
  • 5. Obesity in Art and Literature “Let me have men about me that are fat, sleek-headed men and such as sleep a nights. Yon Cassius has a lean and hungry look. He thinks too much.” Julius Caesar, Shakespeare “Falstaff sweats to death, and lards the lean earth as he walks along” Henry IV, Shakespeare
  • 6. Obesity in Art and Literature “But wait a bit,” the Oysters cried, “before we have our chat. For some of us are out of breath, and all of us are fat!” “Through the Looking Glass”, Lewis Carroll “No woman can ever be too rich or too thin.” Duchess of Windsor
  • 8. Definition of Obesity Body Mass Index (BMI; kg/m2) is the most helpful measure:  Underweight = <18.5  Normal BMI = 20.0 - 24.9  Overweight = 25.0 - 29.9  Class I = 30.0 - 34.9  Class II = 35.0 - 39.9  Class III = >40.0
  • 9. Complications of Obesity  Hypertension  Hyperlipidemia  Metabolic syndrome  Coronary heart disease  Type II diabetes  Respiratory disease (OSA)  Gastrointestinal disease (NAFLD and NASH)  Cancer  Rheumatologic disease (osteoarthritis, gout)  Psychiatric  Increased risk of mortality
  • 12. Demographics of Obesity  Results from 2011-12 National Health and Nutrition Examination Survey (NHANES).  9100 participants in cross-sectional national surveys.  Last survey completed in 2003-04. Odgen et al., JAMA 311:806-814 (2014)
  • 13. Demographics of Obesity Overweight or obese Obese White men 72.7% 33.4% Black men 69.1% 37.0% Hispanic men 77.9% 40.1% White women 64.6% 33.7 % Black women 82.1% 56.7% Hispanic women 76.2% 43.3% Overall 33.7% of men and 36.5% of women were obese, and 6.4% overall had class III obesity. No significant increase since the last survey in 2003-04.
  • 14. Body-Mass Index and Cause-Specific Mortality in 900,000 Adults: Collaborative Analyses of 57 Prospective Studies  900,000 participants, primarily from Western Europe and North America.  Mean age 46.  Analysis adjusted for age, sex and smoking status.  Mortality lowest at BMI of 22.5 - 25.0.  BMI 30 - 35, median survival reduced by 2 - 4 years.  BMI 40 - 45, median survival reduced by 8 - 10 years.  BMI < 22.5, excess mortality mainly due to smoking. Prospective Studies Collaboration, Lancet 373:1083-1096 (2009)
  • 15. Body-Mass Index and Cause-Specific Mortality in 900,000 Adults: Collaborative Analyses of 57 Prospective Studies (Cont.)  Overall mortality for each 5 kg/m2 increase was 30%.  40% for mortality due to vascular disease.  60-120% for diabetic, renal and hepatic mortality.  10% for neoplastic mortality.  Obesity is approaching cigarette smoking as a leading avoidable cause of premature death. Prospective Studies Collaboration, Lancet 373:1083-1096 (2009)
  • 16. Body-Mass Index and Cause-Specific Mortality in 900,000 Adults: Collaborative Analyses of 57 Prospective Studies (Cont.) Cause-Specific Mortality Hazard ratio (BMI 25-50) Ischemic heart disease 1.39 Stroke 1.39 Diabetes 2.16 Kidney disease 1.59 Liver disease 1.82 Respiratory disease 1.20 All causes 1.29 Prospective Studies Collaboration, Lancet 373:1083-1096 (2009)
  • 17. Obesity and Mortality  In adult life, it may be easier to avoid substantial weight gain than to lose weight.  By avoiding a further increase from 28 kg/m2 to 32 kg/m2, a typical person in early middle age would gain ~2 years of life expectancy, and avoiding an increase from 24 kg/m2 to 32 kg/m2, a young adult would on average gain ~3 extra years of life.
  • 19. Childhood Obesity  Weight >85th percentile defines overweight, and >95th percentile defines obesity in children (based on standard CDC thresholds).  2011-12 NHANES data:  Overall, 31.8% of children between 2-19 years old are overweight.  16.9% are obese, with Hispanic (22.4%) and black (20.2%) at greater risk. Odgen et al., JAMA 311:806-814 (2014)
  • 20. Childhood Obesity  Data from the Early Childhood Longitudinal Study, Kindergarten Class 1998-99.  >700 participants followed through 8th grade.  At entry (mean age 5.6 yrs) 12.4% were obese and 14.9% were overweight.  By 8th grade (mean age 14.1 yrs) 20.8% were obese and 17.0% were overweight.  Overweight 5-year-olds were 4x as likely as normal weight children to become obese. Cunningham et al., NEJM 370:403-411 (2014)
  • 21. Economic Costs of Obesity  Data from US Medical Expenditure Panel Survey  Impact on annual medical costs estimated to be $3,613 for women and $1,152 for men.  Estimate of costs of obesity-related illness is $209.7 billion (in 2008 dollars).  20.6% of US national health expenditures are spent in treating obesity-related illness. Cawley & Meyerhoefer, J Health Econ 31:219-230 (2012)
  • 22. Leptin  Control of body weight is complex, involving hormones and neurotransmitters.  Leptin and the OB gene were discovered in 1994.  Secreted by adipocytes - signals brain to reduce food intake.  Mouse model.  Not found to be of use clinically, as obese people have increased leptin levels but are resistant to its effects.
  • 23. There is No Magic Pill FTC Cracks Down on Fad Weight-Loss Products
  • 24. FDA-Approved Diet Pills  Phentermine: Amphetamine-like action.  Xenical (Orlistat).  Contrave (Bupropion/Naltrexone).  Qsymia (Phentermine/Topiramate).  Belviq (Lorcacerin): 5HT receptor agonist.  Concern over cardiovascular events with Qsymia and Belviq. Post-marketing trials are not to be completed until 2017.  Meridia (Sibutramine) was one of the most popular pills but was taken off the market due to cardiovascular risks.  Fenfluramine/Phentermine (Fen-Phen) also banned due to risk of pulmonary HTN and valvular heart disease.
  • 25. FDA Approved Diet Pills (Cont.)  None is approved for long-term use.  Weight loss benefits modest at best.  FDA approval only for BMI >30 (or BMI >27, with a weight-related illness).
  • 26. Diets and Weight Loss  Many diet fads have come and gone over the years.  General agreement that if dieting is going to work long-term, weight loss must be accomplished slowly and consistently.  Diets only work if people adhere to them.  “Miracle diets” that cause acute weight loss invariably fail.  Long-term success rates are low for many reasons:  Set-point theory of weight control.  Failure to make behavioral modifications.  Adherence to restrictive regimens diminishes with time.
  • 27. Comparative Effectiveness of Weight- Loss Interventions in Clinical Practice  415 obese patients with at least one cardiovascular risk factor recruited from primary care practices.  Two behavioral interventions:  Remote support through telephone, web site, and email.  In-person support with group and individual sessions + the three remote means.  Control group weight loss was self-directed.  PCP’s had a supportive role and received regular progress reports. Appel et al., NEJM 365:1959-1968 (2011)
  • 28. Comparative Effectiveness of Weight- Loss Interventions in Clinical Practice (Cont.) Appel et al., NEJM 365:1959-1968 (2011)
  • 29. Effects of Low-Carbohydrate and Low- Fat Diets: A Randomized Trial  147 adults with BMI 30 - 45.  73 randomized to low fat diet (< 30% of intake).  75 randomized to low carbohydrate diet (< 40 g/day).  Total caloric intake was similar in each group.  At 12 months, low carb group had significantly greater weight loss (5.3 kg vs. 1.8 kg), increase in HDL, and decrease in Framingham 10-year CHD risk score. Bazzano et al., Ann Intern Med 161:309-318 (2014)
  • 30. Effects of Dietary Composition on Energy Expenditure During Weight-Loss Maintenance  Maintaining significant weight loss over the long term is problematic.  Hypothesis is that weight loss leads to decline in energy expenditure and an increase in hunger, resulting in weight gain.  Examined effects of 3 diets on energy expenditure after weight loss.  21 young adults with BMI >27.  Run-in diets achieved 10-15% weight loss. Ebbeling et al., JAMA 307:2627-2634 (2012)
  • 31. Effects of Dietary Composition on Energy Expenditure During Weight-Loss Maintenance (Cont.)  3 diets:  Isocaloric low-fat (60% carbs, 20% fat, & 20% protein).  Low-glycemic index (40% carbs, 40% fat, & 20% protein).  Very low carbohydrate (10% carbs, 60% fat, & 30% protein).  All participants were fed each diet in random order for 4 weeks each.  Resting energy expenditure (REE) measured by indirect calorimetry. Ebbeling et al., JAMA 307:2627-2634 (2012)
  • 32. Effects of Dietary Composition on Energy Expenditure During Weight-Loss Maintenance (Cont.)  Decrease from baseline REE was greatest in the low-fat diet (-205 kcal/d).  Low glycemic index diet decrease was -166 kcal/d.  Very low carbohydrate decrease was -138 kcal/d.  Total energy expenditure showed a similar pattern.  Authors maintain that this study challenges the notion that a calorie is a calorie from a metabolic perspective.  Very low carbohydrate diets are likely not to work in practice due to adherence issues.  Moderate carbohydrate restriction seems to be of benefit.
  • 33. Long-Term Persistence of Hormonal Adaptations to Weight Loss Caloric restriction results in reduction of circulating leptin as well as other neuropeptides that control appetite. One year after initial weight reduction, levels of these mediators of appetite that encourage weight regain do not revert to the levels recorded before weight loss. Sumithran et al., NEJM 365:1597-1604 (2011)
  • 34. Exercise and Weight Loss  Exercise alone does not result in significant weight loss.  Increased activity should, however, be a part of any weight loss strategy.  NHANES data show that about 50% of all Americans do not have any significant physical activity.  Even in the overweight and obese, exercise can lower risks, especially for CHD.
  • 35. The Sugar Connection O O OH OH HO OH OH OH OH O HO Glucose + Fructose Sucrose
  • 36. Sugar Intake and Obesity Lustig et al., Nature 482:27-29 (2012)
  • 37. Sugar Intake and Obesity (Cont.)  Sugar consumption has tripled worldwide over the past 50 years, primarily due to added sugars  Sugar is added to nearly all processed foods, often in the form of high fructose corn syrup.  High fructose corn syrup is composed of 55% fructose, which is not vastly different from sucrose.  There is growing evidence that fructose intake is linked to several chronic diseases:  Metabolic syndrome  Obesity  Hypertension  Dyslipidemia  Hepatic dysfunction (NASH)
  • 38. Metabolism of Glucose and Fructose Glucose Insulin Liver Glucose-6-phosphate Glycogen 80% Brain and muscle 2% Pyruvate Acetyl CoA FFA’s VLDL Glucokinase
  • 39. Metabolism of Glucose and Fructose (Cont.) Fructose (Nearly all ingested fructose goes to the liver) Liver (Only a small amount of fructose is converted to glycogen under normal circumstances) Fructose-1-phosphate Pyruvate Acetyl CoA de novo lipogenesis Fructokinase
  • 40. Fructose: It’s “Alcohol Without the Buzz”  Ethanol enters the liver through osmosis, and is metabolized to acetaldehyde  This can generate reactive oxygen species  Large doses of ethanol result in metabolism to acetyl CoA and the generation of FFA’s  “The dose determines the “poison”of either ethanol or fructose, since both uniquely drive de novo lipogenesis, leading to fatty liver, inflammation, and insulin resistance.” Lustig, Adv Nutr 4:226-235 (2013)
  • 41. The Toxic Truth About Sugar  Sugar consumption is linked to a rise in non-communicable disease.  Sugar’s effects on the body can be similar to those of alcohol.  Regulation could include tax, limiting sales during school hours, and/or placing age limit on purchases. Lustig et al., Nature 482:27-29 (2012)
  • 42. Nation’s First Soda Tax Is Passed  Berkeley, Calif., became the first U.S. city to pass a law taxing sugary drinks including sodas.  More than three-quarters of the votes cast were in favor of Measure D, according to the Alameda County Registrar of Voters. The measure will place a 1-cent-an-ounce tax on soft drinks.  In nearby San Francisco, city voters rejected a similar measure to tax sugary drinks. USA Today 5 Nov 14
  • 43. F Stands for Fructose and Fat  In overweight humans, diet high in fructose (25% of total caloric intake) promotes development of the metabolic syndrome.  Mice lacking the enzyme fructokinase are incapable of processing fructose.  Wild type mice fed a Western diet (high in fat and sucrose) developed severe non-alcoholic steatohepatitis, while the mice lacking fructokinase did not. Lyssiotis & Cantley, Nature 502:181-183 (2013)
  • 44. Storm Brewing Over WHO Sugar Proposal Industry Backlash Expected Over Suggested Cut 12-ounce serving of Coke contains 38 grams of sugar and 140 calories 1 g ≈ 4 cal 1 teaspoon ≈ 4 g = 16 cal Owens, Nature 507:150 (2014) in Intake
  • 45. WHO Sugar Proposal (Cont.)  In 2003, proposed guideline that no more than 10% of daily calories should come from sugar.  Current proposal cuts this in half to 5%, citing the need to fight obesity.  Sugar in the average person should only account for 100 cal/day which translates to ~26 grams or 6 teaspoons  Opposed by the food industry – “If people follow this advice, that would be very bad for business”. Owens, Nature 507:150 (2014)
  • 46. WHO Sugar Proposal (Cont.) Owens, Nature 507:150 (2014)
  • 47. Summary  One-third of Americans are obese.  Obesity has a significant impact on morbidity and mortality, approaching that of cigarette smoking.  Diets work only if adhered to and lifestyle is modified.  Long-term maintenance of weight loss remains problematic.  Obesity in children is increasing and fat children tend to become fat adults.  Sugar consumption is a major factor in obesity and related diseases due to increased caloric intake and the effects of fructose metabolism.  There is no magic bullet - “We are what we eat.”