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The Andrew O’Neil Memorial Lecture Mushrooms: For Weight Control and Health. 22 nd North American Mushroom Conference June 24, 2013 Vancouver, British Columbia Lawrence J. Cheskin, M.D. Director, Johns Hopkins Weight Management Center Department of Health, Behavior & Society
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The Andrew O’Neil Memorial LectureMushrooms: For Weight Control and Health 22nd North American Mushroom Conference June 24, 2013 Vancouver, British Columbia Lawrence J. Cheskin, M.D. Director, Johns Hopkins Weight Management Center Department of Health, Behavior & Society Johns Hopkins Bloomberg School of Public Health Joint Appt: Medicine (GI); International Health (Human Nutrition)
Obesity Trends* Among US AdultsBRFSS, 1990, 1999, 2008 *BMI 30, or about 30 lbs overweight for 5’4” person BRFSS=Behavioral Risk Factor Surveillance System
Obesity in Canada • Statistics are similar to the US (slightly better) • Additional factors include: • Generally longer, colder winters limiting physical activity • Among native populations, a rapid “nutrition transition’ and decreased physical activity
Severe and Morbid Obesity Is Increasing More Rapidly Than Mild Obesity Normal: 18.5-24.9 Class 1 Obesity: 25-29.9 (overweight) Class 2 Obesity: 30.0-39.9 (severe) Class 3 Obesity: 40 or more (morbid/extreme) Sturm, R. Public Health. 2007. July;121(7):492-496.
Prevalence of Extreme(Morbid) Obesity (BMI ≥40) by Gender and Ethnicity Flegal KM, et al. JAMA. 2010;303:235-241.
Approximately 25% of children and adolescents are overweight • more than any other known time in history • life expectancy may decline as a result
Life Expectancy and Obesity • Two 2009 meta-analyses determined: • 30-35 kg/m2, median survival is reduced by 2-4 years • 40-45 kg/m2 medium survival is reduced by 8-10 years Prospective Studies Collaboration. Lancet. 2009;373(9669):1083-1096. Peeters A, et al. Ann Intern Med. 2003;138:24-32. Mason J, et al. JAMA. 2003;289:229-230.
How Might Obesity Shorten Lifespan?Leading Causes of Death, North America
Comorbid Conditions and BMI>27 kg/m2 Common comorbid conditions in obesity • Hypertension • Dyslipidemias • Type 2 diabetes Anderson JW, et al. Obes Res. 2001;9:S326-S334.
BMI and Relative Riskof Type 2 Diabetes Adapted from Willett WC, et al. N Engl J Med. 1999;341:427-434.
Intentional Weight Loss (< 20 lbs) and Predicted Reduction in Mortality Source: Williamson, D.F, et al. (1995). Am J Epidemiol 141: 1128–1141
Medical Complications of Obesity Stroke Idiopathic intracranial hypertension • Pulmonary disease • Abnormal function • Obstructive sleep apnea • Hypoventilation syndrome Cataracts Coronary heart disease Pancreatitis Diabetes • Nonalcoholic fatty liver disease • Steatosis • Steatohepatitis • Cirrhosis Dyslipidemia Hypertension • Gynecologic abnormalities • Abnormal menses • Infertility • Polycystic ovarian syndrome Gall bladder disease • Cancer • Breast • Uterus • Cervix • Prostate • Kidney • Colon • Esophagus • Pancreas • Liver Osteoarthritis • Phlebitis • Venous • Stasis Skin Gout
A Classification of the Obesities Neuroendocrine Obesities • Hypothyroidism • Hypothalmic syndrome • Cushing’s syndrome • Polycystic ovary (Stein-Leventhal) syndrome • Pseudohypoparathyroidism • Hypogonadism • Growth hormone deficiency • Insulinoma and hyperinsulinism Iatrogenic • Drugs (psychotropics, corticosteroids) • Hypothalamatic surgery Nutritional Imbalance and Obesity • High-calorie, high-fat diets • Cafeteria diets Physical Inactivity • Enforced (postoperative) • Aging • Job-related Genetic (Dysmorphic) Obesities • Autosomal recessive • X-linked • Chromosomal
Drugs Associated with Weight Gain • Steroids; BCPs; HRT • Tricyclic antidepressants • Phenothiazines • Lithium • Antihistamines • Sulfonylureas, insulin • Beta blockers, thiazides
Adoption Studies Stunkard, et al
Regulation of body weight 980,000 Calories consumed in 1 year: 1/2 lb (1,700) Weight gained / year* (kcals fat): Energy balance Error = 0.17% *Average over 20 yrs (30-50 yrs of age, Framingham study)
What drives food choice? • TASTE - consumers consistently rate this as the number one reason for the food choices they make • COST - consumers look for bargains/values that taste good • CONVENIENCE - consumers want choices that simplify their lives • PROBLEM - These factors are often barriers to reducing energy intake
GROWTH OF THE FAST FOOD SECTOR What’s Changed?....Food Type Availability Tillotson J, Ann Rev Nutr, 2004
Portion size & consumption -Portion sizes began growing in the 1970s -Marketplace portions are now 2-8x standard serving sizes -In children, (~ to adults), doubling portions of a lunch entrée increased entrée and total energy intakes by 25% and 15% (Orlet et al. 2003). When children were allowed to serve themselves, they consumed 25% less of the entrée than when served a large entrée portion.
Diet Composition and Satiety Hierarchy of satiety (per kcal): Fiber Protein Complex carbohydrates Simple carbohydrates Fat (unsaturated > saturated) Ethanol Ethanol may even stimulate further food intake Liquids are less satiating than solids
Dietary Fat and Obesity • Epidemiologic evidence of a direct link • Calorically dense; 9 kcal/gram • Highly palatable • Efficiently stored • Virtually unlimited storage
Nibbling Versus Gorging • Obese individuals frequently eat fewer meals per day • Of 379 men fed 1–2 meals per day, they were heavier, had higher cholesterol, and higher glucose than those who ate more frequently • School children fed three meals per day gain more than those fed five to seven meals per day
The Other Side of the Energy Balance Equation: Is being sedentary a risk factor for obesity? Few historical records of activity levels. In USA: inverse correlation between self-reported P-act and BMI True for men, women, AA, Latino, white, etc.
WHY DO I EAT--LET ME COUNT THE WAYSThe concept of appropriate/inappropriate eating cues: Food as a habit Food as a stress reliever Food as a reward Food as a boredom reliever Food as a social facilitator Food as love Food as a mountain
Assessing Obesity in Clinical Practice Body-mass index (BMI) = weight (kg)/height (m)2 • Normal weight: BMI 18.5-24.9 • Overweight: BMI 25.0–29.9 • Obesity: BMI 30.0-39.9 • Extreme obesity: BMI 40.0+ BMI is positively correlated with health risk Source: NHLBI Obesity Guidelines. Obesity Res 6(suppl 2) (1998) Continued
Assessing Obesity in Clinical Practice Waist circumference modifies the risk at any given BMI High risk: • Men > 40 inches • Women > 35 inches • Indirect measure of central adiposity, correlated with visceral fat • Excess fat in the abdomen is an independent predictor of risk factors and morbidity • Use a tape measure around widest point above umbilicus Source: NHLBI Obesity Guidelines. Obesity Res 6(suppl 2) (1998)
Treatments for Obesity • Lifestyle modification • Diet • Physical activity • Behavior modification • Pharmacotherapy • Surgery
What’s Our Best Hope for Obesity Prevention? Change the food supply: availability, cost, advertising Change the built environment: paths, safety Change our schools Change attitudes and beliefs Serve as role models ourselves Devote resources to research and programs Be persistent
Results of Weight Loss– Medication Use • The majority of those entering the program suffered from one or more of the following conditions and required medications for control: • Hypertension • High cholesterol/ TG • Type-2 diabetes
As a result of weight loss… • Hypertension ↓ • 57% reduced or stopped HTN meds While achieving normal BP values • High cholesterol ↓ • 55% stopped taking “statin” medication And achieved normal cholesterol & TG values • Type-2 diabetes ↓ • 50% reduced or stopped medications, including insulin and oral agents with improvements in fasting blood glucose / HbA1c • This effect often occurs quite early in the course of wt loss
As a result of weight loss… • Decreased need for medications or treatment for: • Arthritis / pain control • Gastroesophageal reflux disease (GERD) • Obstructive sleep apnea (off CPAP) • Angina pectoris • Non-alcoholic fatty liver disease (NAFLD)
Other Common Outcomes • Lower cost of health care • Improved health-related quality of life • Improved mood & self-esteem • Improved fertility • Better sleep • More energy • Decreased fatigue
Dietary Control of Obesity The substitution of low calorie foods for high-calorie foods has been proposed as a means of preventing, or reversingobesity…
Why Mushrooms? • Nutritional value • Nutritional composition • Satiety value • Substitution potential for high fat, high energy density foods • The Evidence…
But will it work? What is compensation? An increase in caloric intake following a meal that is of lower energy. (“making up for lost calories”)
Background – Compensation Sometimes there is compensation – e.g., after drinking diet soda vs regular Sometimes not – only partial compensation eating a less-dense meal (low-fat cream cheese on bagels) following a week of energy-rich meals (regular cream cheese) Differences in % compensation by age, gender, BMI: • Young males exhibit more complete compensation than females and older adults (Rolls 1998) • Obese individuals generally have been found to compensate more poorly than lean (Rolls 1994, Roe 1999)
Our recent work on mushrooms & weight control:Mushroom Council sponsored • The first study to examine whether replacing one food for an entirely different one (meat vs. mushrooms) would lower overall calorie intake, and be as filling as higher calorie foods.
Methods • Controlled intervention study, crossover design with each subject serving as his or her own control. • Healthy men and women, aged 18-65 • 18 men and 36 women • normal weight (43%), • overweight (33%), • obese (24%) • received 4 days of lunchtime meat entrées, • followed by 4 days of the same entrées substituted with mushrooms.
Methods Daily Measures: • Pre-meal hunger was recorded. • Food was weighed before and after the meal was eaten. • Satiety every hour for 5 hours after lunch • Recording of all daily food, beverages and physical activity.
Methods First Group Schedule: Day: 1 2 3 4 5 6 7 8 9 10 11 Washout Washout Washout Second Group Schedule: Day: 12 3 4 5 6 7 8 9 10 11 Washout Washout Washout
Calories: 783 meat, 339 mushroom dishes;Potential savings= 444 calories/day
Results • There was no change in ratings of hunger, satiety, or palatability between meat and mushroom entrees Hunger Post-meal Fullness General Sense of Fullness Ease of Control Over Eating Cravings For Foods Urgency to Eat
Overall Results Total daily energy intake was significantly greater in the meat condition (2014 kcal) than in the mushrooms (1635 kcal) Undercompensation for Fat and Calories: • Calorie compensation was 14% • Fat compensation was 7% • Saturated fat compensation was 50% • Protein compensation was 10% • Carbohydrate compensation was 100%
Duration of Results • No compensation for the caloric reduction by eating more or exercising less • either later that day (short-term) • or over 4 days (intermediate term)
Benefit for weight control? • Lean individuals compensated for the calories saved during the mushroom week more than overweight and obese individuals • When adjusted for exercise, lean people compensate even more, but overweight and obese do not (thus lean people will not lose significant weight from eating mushrooms) • Therefore, overweight or obese people will benefit the most from substituting mushrooms for meat.
Conclusion: These results strongly suggest that the substitution of low ED mushroom foods for high ED foods such as beef, in otherwise similar recipes, can be an effective method for reducing daily energy intake.
Implications: • Do these savings in calories persist beyond a week? (Encouraging in this was that the degree of energy compensation did not appear to increase from day 1 to day 4 of the mushroom substitution, nor was there compensation over the weekend between mushroom and meat weeks. ) • Based on the above findings, the effect of consuming a single mushroom-substituted meal 4x/week would be tolose 20 lbs in a year. • These projections were tested in a long-term study