Childhood Obesity: Assessments, Cardiometabolic Risk, and Interventions Can We Predict Prediabetes and Cardiac Risk Profile in Overweight African American Adolescents Patricia A. Cowan, PhD, RN University of Tennessee Health Science Center Funded by NIH-NINR and GCRC Obesity: A Worldwide Concern Worldwide there are 1 billion overweight or obese adults. In the United States, 65% of adults are overweight or obese---The prevalence has doubled since 1980. Parental obesity associated with childhood obesity. (2004). Obesity—Big is beautiful? The Globalist: retrieved March 1, 2003 from www.theglobalist.com/DBWeb/printStoryId.aspx?StoryId=3326 Obesity Trends: U.S. Adults BRFSS, 1990 (*BMI ≥30, or ~ 30 lbs overweight for 5’ 4” person) No Data <10% 10%–14% Obesity Trends: U.S. Adults BRFSS, 2008 TN #2 –Adult obesity #6 –Childhood obesity (*BMI ≥30, or ~ 30 lbs overweight for 5’ 4” person) No Data <10% 10%–14% 15%–19% 20%–24% 25%–29% ≥30% Prevalence of Overweight & Obesity Among Youth in the United States (1999-2008) Overweight Obese (BMI for age ≥85%) (BMI for age≥ 95%) 1999-2000 28.2 13.9 2001-2002 30.0 15.4 2003-2004 33.6 17.1 2007-2008 31.7 16.9 Year Ogden, C.L., et al. (2006). JAMA, 295 (13), 1549-1555 and Ogden et al (2010) JAMA, 303(3):242-249. Disparities in Obesity and Overweight Among 6-19 Year Olds in 2007-2008 Groups Boys Girls Overweight % Obese % Overweight Obese % % Total 35.3 20.1 34.1 17.3 Caucasian 33.4 18.2 31.6 15.6 African American 34.4 18.9 43.3 25.9 Hispanic American 43.1 26.7 40.5 19.5 Ogden, C.L., et al. (2010). JAMA, 303(3):242-249 Why the Concern? Childhood obesity persists into adulthood Linked to subsequent morbidity & mortality, including type 2 diabetes and cardiovascular disease Costly--$129 billion directly attributed to obesity Escalation in costs if development of diabetes and cardiovascular diseases Evolution of Childhood Type 2 Diabetes in the Greater-Memphis Area 120 100 80 60 40 20 Since 1990, in the Memphis area, 10-fold increase in diagnosis of type 2 diabetes mellitus in children. In children, shorter latency period from prediabetes to diabetes. The NHANES 1999-2000 data revealed an 11% prevalence of prediabetes in children. ADA estimates 2 million teens (or 1 in 6 overweight adolescents) aged 12-19 have pre-diabetes. 0 1990 1992 1994 1996 1998 2000 2002 2006 2008 Cardiovascular Risk (CVR) Factors in Obese Youth Current screening recommendations for obese youth include fasting insulin and glucose, blood pressure, and lipid profile if family history of hyperlipidemia. Typically clinicians refer older, more severely obese youth with a family history of diabetes for metabolic evaluation Perception that diabetes drove the development of CVR factors in youth. Who Should be Screened? Inadequate resources to screen all overweight youth for diabetes and CVR factors. Need to identify which youth are at greater risk for developing metabolic and cardiovascular abnormalities. Determine whether current screening recommendations relevant across ethnic groups. Diabetes Screening: 150 Overweight or Obese Children 155 145 135 GLU0 125 Ctrl 115 OB-NGT 105 OB_IGT 95 85 75 65 80 100 120 140 160 180 200 220 GLU120 66% of youth who had IGT (pre-diabetes or diabetes based on OGTT) had normal fasting blood glucose Similar Cardiovascular Risk Factors in Obese AA Teens with T2DM and Obese AA Non-DM Teens 60 T2DM Non-DM Percent 40 * 20 0 FIB >400 CRP >0.5 BP>95th% *p<0.05 between groups Chol >170 LDL>110 TRI >150 HDL <35 Purpose Examine the interaction of severity of obesity, physical activity (fitness), diet, insulin resistance and family history in predicting pre-diabetes and a cardiac risk profile in overweight-obese AA adolescents. Design & Sample Descriptive, correlational 122 overweight-obese 11-18 year African-American (AA) adolescents (age=14.8 ± 2.1 yr), 57% female Non-diabetic, no medications that affect glucose tolerance, femalesnegative pregnancy test. 97% had acanthosis nigrican Methods: Demographics and Family History Age Gender Tanner Stage Parental report of family history of type 2 diabetes or early myocardial infarction in child’s parents or blood relatives. Methods: Obesity Severity Body Mass Index (BMI) BMI= Weight in kg Height in m² Relative BMI= BMI 50th% BMI x 100 Whole body DXA scan (Hologics) with segment measures of fat, bone, and lean mass. Methods: Prediabetes Oral glucose tolerance test Prediabetes = 75 gm maximum) (1mg/kg, Fasting blood glucose > 100 mg/dl or 2-hr post load glucose > 140 mg/dl Methods: Insulin Resistance Fasting and OGTT derived indices QUICKI = 1/(log FI μU/ml+ log FBG) CISI= 10000 / [SQRT (FI x FBG) x (mean insulin (0-120 min) x mean glucose (0-120 min)] Methods: CVR Factors Fasting blood samples for Homocysteine (>12 mcg/M) High-sensitivity C-reactive Protein (>2 mg/L) Fibrinogen (>350 mg/dl) PAI-1 (>43 ng/ml) Standard lipid profile: triglycerides >150 mg/dl; cutpoints for total cholesterol, LDL-cholesterol, HDL-cholesterol based on age and gender normative data (Jolliffe 2006) Lp(a) (>20 mg/dl) LDL particle size (<25.9=Pattern B) Blood pressure (per NHLBI guidelines) Self-report of tobacco use. Methods: Dietary Intake 3-day diet diary analyzed for micro and macronutient content using Nutribase Clinical Nutritional dietary software program. Multi-pass approach with the use of food models and queries. Methods: Activity/Fitness 7-Day physical activity recall Days/week of > 30 minutes of moderate or more intense physical activity Sit hours per day Maximal cardiopulmonary exercise testing (VO2 peak) Statistical Analysis Data log-transformed if not normally distributed Logistic regression to predict prediabetes Multiple regression to predict cardiac risk profile Substitution of DXA for BMI measures of obesity severity and fitness for physical activity in models. Results: Anthropometrics BMI 36.4 ± 7.9 Relative BMI 185.1 ± 40.4 Percent fat mass 42.4 ± 7.4 Percent trunk mass activity (day/week) 42.2 ± 8.3 Physical Activity and Fitness VO2peak (mg/kg/min): 21.5 ± 6.3 > 30 min moderate+ activity (day/week) 2.6 ± 1.8 Sit (hours/day) 10.5 ± 2.7 Walk 81.9 ± 62.8 (min/day) Only 4 youth (3.3%) engaged in recommended amounts of physical activity. 97% had very poor or poor levels of fitness Results: Macronutrients Energy intake 1791 ± 626 kcal/day; estimated underreporting of 940 kcal/day Kcal/day (Mean ± SD) Percent of Intake 268 ± 99 15.2 ± 3.1 Carbohydrates 865 ± 333 48.3 ± 6.2 Fat 657 ± 246 36.5 ± 5.5 Protein Physical Activity and Fitness VO2peak (mg/kg/min): 21.5 ± 6.3 > 30 min moderate+ activity (day/week) 2.6 ± 1.8 Sit (hours/day) 10.5 ± 2.7 Walk 81.9 ± 62.8 (min/day) Only 4 youth (3.3%) engaged in recommended amounts of physical activity. 97% had very poor or poor levels of fitness Results: Pre-diabetes OGTT on 119 28 (23.5%) had prediabetes 8 of these youth had normal fasting, but abnormal 2 hr glucose Thus, 29% of youth with prediabetes would have been missed if the OGTT had not been performed. Results: Insulin Resistance CISI < 2.0 77 (69.4%) QUICKI <0.3 68 (57.1%) Some degree of acanthosis nigricans in 97%. Results: CVR factors CVR Factor CVR Factor Lp(a) Abnormal N (%) 94 (78.3) CRP-hs 71 (59.2) Homocysteine 7 (5.8) Fibrinogen 71 (59.2) LDL-cholesterol 7 (5.8) PAI-1 60 (50.4) 4 (2.3) HDLcholesterol Hypertension 58 (47.5) Total cholesterol Small LDL particle size Triglycerides 32 (29) Tobacco Use Abnormal N (%) 9 (7.3) 1 (0.8) 1 (0.8) Results: CVR Factors # of CVR factors 3.9 ± 1.6 36% had five or more CVR factors Model: Pre-diabetes Logistic regression to predict prediabetes Variables entered: Obesity severity (BMI, RBMI or fat mass), physical activity or fitness, family history, insulin indices, diet, adjusting for tanner stage, age, and gender Model did not predict prediabetes Model: Cardiac Profile Backwards multiple regression for cardiac profile. Higher severity of obesity and positive family history of MI predicted cardiac profile retained in all models. Age (younger), Tanner score (lower), obesity severity, insulin resistance (greater), and positive family history of MI predicted 33% of the variance in the cardiac profile. Discussion Compared to NHANES data: prediabetes was more common in these predominantly sedentary, overweight AA adolescents. emerging cardiac risk factors were more prevalent Contrary to the literature, fitness and physical activity did not predict prediabetes nor the cardiac profile. Research Conclusions Current screening recommendation underestimate metabolic and cardiac risk of obese AA adolescents. Because neither age, severity of obesity, or family history of T2DM predicted prediabetes in overweight AAA, these demographics should not be used to limit screening for prediabetes in this population. Research Conclusions Future studies are needed to determine the interactions between biomarkers, behaviors, and obesity severity to predict early CVD in obese AA adolescents. Childhood Obesity Treatments Target Factors Contributing to Obesity in Youth Nutritional Factors Physical Inactivity Consider Other Factors Contributing to Childhood Obesity Medical Conditions Pharmacological Treatments Genetic Conditions Other (Abuse, etc) Lifestyle and Behavioral Interventions Family-based behavioral weight-management interventions have generally yielded positive results in children (McLean, 2003; Epstein, 1994; Reinehr, Brylak, Alexy, Kersting, and Andler, 2003). Parents strongly influence their children’s dietary intake and level of activity through modeling and reinforcement of eating and lifestyle habits. Additionally parents determine food options and opportunities for physical activity (Morgan, 2002 ). Dietary-Behavioral-Physical Activity Interventions • Three month duration effectively decreased BMI • Exercise minimally 3 x week 45 minutes • Balanced hypocaloric diet • Counseling • Modest BMI reductions -1.7 vs. a gain of 0.6 for the control group Inpatient (Immersion) Programs? 2006 study Diet-based on RDA for age and low fitness level Physical activity-90 minutes 3x week or more Cognitive behavioral therapy: modificationindividual and group sessions Impressive BMI decline!! -Girls-38.4 ± 4.1 down to 28.4 ± 4.1 -Boys-34.5 ± 3.2 down to 25.5 ± 2.3 2011 review: 191% greater reductions in % overweight at post-treatment and 130% greater reduction at 12month follow-up Kelly, K. P., & Dirschenbaum, D. S. (2011). Obesity Reviews, 12(1):37-49. Challenges with Home Lifestyle Behavioral Treatments Portion Sizes How Much Exercise Is Needed? Physical activity 60 minutes everyday Limit physical inactivity Issues with length of school day, homework, technology (computer, gaming, TV), safety concerns Anti-Obesity Medications • • Anti-obesity medications are usually reserved for those patients who have failed diet, exercise, and behavioral interventions (Kaplan, 2005). Approved by the Federal Drug Administration for weight loss in adults: appetite depressant (phentermine, sibutramine), and inhibitors of fat absorption (orlistat). (Ionnides-Demos, Proietto, & McNeil, 2005) In Overweight Youth with Impaired Glucose Tolerance Impaired glucose tolerance is characterized by insulin resistance with high levels of insulin production (betacell function is preserved) Treatment should be geared toward improving insulin sensitivity (decreasing insulin resistance) while preserving beta-cell function. Treatment focus is on diet, weight loss, increase physical activity, medications to improve insulin sensitivity…also look at other risk factors that may need intervention Additional Treatments if Associated Co-Morbidities Metformin and other insulinlowering drugs Lipid-lowering drugs High blood pressure medicines Ornstein, R.M. & Jacobson, M.S. (2006). Adolescent Medicine Clinics, 17 (3), 565-587. Bariatric Surgery for Obese Youth Medically supervised weight loss management Failed at ≥6 months BMI related ≥40 with serious obesityco-morbidities co- or BMI ≥ 50 with less severe morbidities Physiologic maturity Attained or nearly attained Medical and Psychological evaluations Demonstrated commitment before and after surgery Agreement to avoiding Pregnancy At 1 year postoperatively Informed consent Must provide Decisional Capacity Must provide Family environment Supportive _____________________________________________________________________________ Inge et al., 2004. Serious obesity-related co-morbities (Diabetes type 2, obstructive sleep apnea, and pseudotumor cerebri); less severe co-morbidities (hypertension, dyslipidemia, nonalcoholic steatohepatitis, venous stasis disease, significant impairment in activities of daily living, interiginous soft-tissue infections, stress urinary incontinence, gastroesophageal reflux disease, weight-related arthropaties that impair physical activity, and obesity related psychosocial distress Evidence for Management Multidisciplinary approach Family involvement Behavioral/Lifestyle remains key component Medication MAY be used as adjunct Bariatric surgery—last resort COFFEE 20 Years Ago Today Coffee (with whole milk and sugar) Mocha Coffee (with steamed whole milk and mocha syrup) 45 calories 8 ounces How many calories are in today's coffee? COFFEE 20 Years Ago Today Coffee (with whole milk and sugar) Mocha Coffee (with steamed whole milk and mocha syrup) 45 calories 8 ounces 350 calories 16 ounces Calorie Difference: 305 calories Maintaining a Healthy Weight is a Balancing Act: Calories In = Calories Out How long will you have to walk in order to burn those extra 305 calories?* *Based on 130-pound person Calories In = Calories Out If you walk 1 hour and 20 minutes, you will burn approximately 305 calories.* *Based on 130-pound person MUFFIN 20 Years Ago 210 calories 1.5 ounces Today How many calories are in today’s muffin? MUFFIN 20 Years Ago 210 calories 1.5 ounces Today 500 calories 4 ounces Calorie Difference: 290 calories Maintaining a Healthy Weight is a Balancing Act: Calories In = Calories Out How long will you have to vacuum in order to burn those extra 290 calories?* *Based on 130-pound person Calories In = Calories Out If you vacuum for 1 hour and 30 minutes you will burn approximately 290 calories.* *Based on 130-pound person CHICKEN CAESAR SALAD 20 Years Ago 390 calories 1 ½ cups Today How many calories are in today’s chicken Caesar salad? CHICKEN CAESAR SALAD 20 Years Ago 390 calories 1 ½ cups Today 790 calories 3 ½ cups Calorie Difference: 400 calories Maintaining a Healthy Weight is a Balancing Act Calories In = Calories Out How long will you have to walk the dog in order to burn those extra 400 calories?* *Based on 160-pound person Calories In = Calories Out If you walk the dog for 1 hour and 20 minutes, you will burn approximately 400 calories.*