Overweight Children Prevalence, Problems, and Solutions (?) David L. Gee, PhD FCSN 547 – Nutrition Update Summer 2004 Assessment of Overweight in Children 1997 Expert Panel The Maternal and Child Health Bureau, Health Resources and Services Administration, the Department of Health and Human Services PEDIATRICS Vol. 102 No. 3 September 1998, p. e29 Recommends that BMI be routinely used to screen children for overweight Defined Overweight as a BMI for age over the 95th percentile Risk for overweight as a BMI for age between the 85th and 95th percentile Is a child’s BMI useful in predicting adult obesity? Note: in 1999-2000, 26% of 20-39 yo were obese. Prevalence of Overweight Children in the US Prevalence of Overweight and Obesity Among US Children, Adolescents, and Adults, 1999-2002 1999-2004 A. Hedley et al. JAMA 2004; 291: 2847-2850 C. Ogden et al. JAMA 2006; 295: 1549-1555 Prevalence of Overweight and Obesity Among US Children, Adolescents, and Adults, 1999-2002 (2003-2004) NHANES 1999-2000 2001-2002 N=4115 adults N=4018 children N=4390 adults N=4258 children Adult prevalence 65.1% overweight or obese (66.3%) 30.4% obese (32.2%) 5.1% extreme obese (BMI>40) (4.8%) Prevalence of Overweight and Obesity Among US Children, Adolescents, and Adults, 1999-2002 2003-2004 Children 6-19 yrs 31% at risk for overweight or overweight 6-11: 37.2% 12-19: 34.3% 16% overweight At risk for overweight or overweight by age 2-5 = 22.6% (26.2%) 6-11 = 31.2% (37.2%) 12-19 = 30.9% (34.3%) Prevalence of Overweight and Obesity Among US Children, Adolescents, and Adults, 1999-2002 2003-2004 At risk for overweight or overweight by gender Boys = 31.8% (34.8%) Girls = 30.3% (32.4%) At risk for overweight or overweight By ethnicity White = 28.2% (29.2%b, 27%g) Black = 35.4% (31%b, 40%g) 33.5%, 35.4%b, 31.5%g 35.1%, 30.4%b, 40.0%g Mexican-American = 39.9% (42.8%b, 36.6%g) 37.0%, 41.4%b, 32.2%g Type 2 Diabetes in the Young The evolving epidemic (review article) Z. Bloomgarden Diabetes Care 2004 (Apr); 27:998-1010 Type 2 Diabetes in the Young The evolving epidemic Prevalence NHANES III (1988-1994) ~3000 subjects, 12-19 yo IFG: 17.6 per 1000 HbA1c>6%: 3.9 per 1000 Diabetes (all types): 4.1 per 1000 Extrapolate: ~600,000 US adolescents with some degree of glycemic abnormality How many with Type 2 diabetes? Type 2 Diabetes in the Young The evolving epidemic Prevalence Sinha et al., NEJM 346:802-810, 2002 167 obese adolescents and children 4% prevalence of Type 2 DM IGT All in Hispanic and black adolescents 16% obese white 27% obese black 26% obese Hispanic (UK study found risk of Type 2 DM 13.5 times greater in Asian than white children) Prevalence of T2 diabetes has increased significantly (2-3X) among Indian children in the past 30 years. Type 2 Diabetes in the Young The evolving epidemic Prevalence Trends 10 fold increase from 1982-1994 in Cincinnati % of diabetic children w/ T2 increased from 9.4% (1994) to 20% (1998) (Florida) J. Ped. 128:608-615, 1996 Pub. Health Rep. 117:373-379, 2002 ~1/3rd of children w/ diabetes have T2 in OH, AR, CA(Hispanics) Diabetes Care 22:345-354, 1999 Type 2 Diabetes in the Young The evolving epidemic Prevalence Other factors: Gender Girls 1.7 times more likely than boys Diabetes Care 22:345-354, 1999 Family History 2/3rd of children w/ T2DM with at least one parent with T2DM Diabetes Care 23:381-389, 2000 Type 2 Diabetes in the Young The evolving epidemic Prevalence Other factors (1998 study from India) Low birthweight High prepubertal weight Type 2 Diabetes in the Young The evolving epidemic Screening Prevalence of T2DM in young low but growing Prevalence of overweight growing rapidly Screening of all children not cost effective ~$10,000 per case found (Japan/Taiwan study) ADA/AAP Consensus Position Diabetes Care 2000 Testing >10yr if BMI > 85th pct with 1o or 2o relative with DM, at risk ethnic group, or signs of insulin resistance (metabolic syndrome) Obesity and the Metabolic Syndrome in Children and Adolescents R. Weiss et al. NEJM 350:2362-74,2004 Obesity and the Metabolic Syndrome in Children and Adolescents Metabolic Syndrome Cluster of metabolic abnormalities associated with insulin resistance Diagnosis of Metabolic Syndrome in Adults Three or more of the following: Abdominal Obesity Hypertriglyceridemia (>150 mg/dl) Low HDL men > 40” waist circumference women > 35” waist circumference men < 40 mg/dl women < 50 mg/dl Pre-hypertension (>130/>85 mmHg) Pre-diabetes (> 110 mg/dl) Obesity and the Metabolic Syndrome in Children and Adolescents Methods 439 obese children/adolescents 31 overweight siblings 20 non-obese siblings 41% white, 31% black, 27% Hispanic Administered oral GTT Measured BP, plasma lipids, C-reactive protein Obesity and the Metabolic Syndrome in Children and Adolescents Criteria for Metabolic Syndrome in Children Obesity (instead of waist circumference) Obese = z-score >2.0 for BMI Moderate Obese = z-score 2.0-2.5 Severe Obese = z-score > 2.5 Metabolic values TG: > 95th pct HDL-C: < 5th pct Glucose intolerance following OGTT Insulin resistance = [fasting glu]x[fasting plasma insulin]/22.5 Obesity and the Metabolic Syndrome in Children and Adolescents Anthropometric & Metabolic Characteristics Non-obese Overweight Moderate Obese Severe Obese BMI 18.4 24.5 33.4 40.6 Glucose 87.4 86.8 90.5 90.2 Insulin uU/ml,<.001 10.3 14.6 31.3 38.6 Insulin resistance <.001 2.2 3.12 7.05 8.69 Triglycerides Mg/dl, <.001 48.4 83.1 104.6 96.5 (mg/dl,<0.05) Obesity and the Metabolic Syndrome in Children and Adolescents Anthropometric & Metabolic Characteristics Non-obese Overweight Moderate Obese Severe Obese 58.5 46.7 41.1 39.9 92.2 95.5 98.1 97.3 106 116 121 124 IGT %, .01 0 3.23 14.4 19.9 CRP .01 .05 .13 .33 HDL-C Mg/dl,<.001 LDL-C Mg/dl, p=.41 Systolic BP mmHg,<.001 Mg/dl, .001 Obesity and the Metabolic Syndrome in Children and Adolescents Prevalence Overall 38.7% in moderately obese 49.7% in severely obese 39% in severely obese blacks “…metabolic syndrome is far more common among children and adolescents than previously reported…prevalence increases directly with the degree of obesity.” Prevalence of metabolic syndrome increases with degree of insulin resistance Health-Related Quality of Life of Severely Obese Children and Adolescents J. Schwimmer et al JAMA 289:1813-1819 (Apr 9, 2003) Health-Related Quality of Life of Severely Obese Children and Adolescents Health-related QOL Physical functioning Emotional functioning Social functioning School functioning 106 children & adolescents mean age = 12 yrs (+3) Mean BMI = 34.9 (+9.3) (z-score=2.6) Compared with 401 healthy and 106 cancer pediatric patients Obese children and adolescents reported significantly lower health-related QOL in all domains compared with healthy controls. Obese children were more likely to have impaired health-related QOL than healthy controls and were similar to children and adolescents with cancer. Health-Related Quality of Life of Severely Obese Children and Adolescents Conclusions: Obese children and adolescents reported impairment of total and all domains of QOL Likelihood of impaired QOL was 5.5 times greater in obese than healthy Obese children and adolescents reported similar impairment of QOL as in cancer patients undergoing chemotherapy Lower than children with rheumatoid arthritis, type 1 diabetes, congenital heart disease. Children’s Food Consumption Patterns Have Changed over Two Decades (19731994): The Bogalusa Heart Study T. Nicklas et al., JADA 104:1127-1140 (2004) Children’s Food Consumption Patterns Have Changed over Two Decades (19731994): The Bogalusa Heart Study One 24-hr dietary recall Seven surveys of 10 yr-olds 1584 children surveyed Grams of food consumed by source of consumption 2000 1800 1600 1400 Home 1200 School*** 1000 Restaurant*** Other*** 800 Total** 600 400 200 0 1970 1975 1980 1985 1990 1995 Amount of food consumed at schools and restaurants Increased, while the amount consumed in ‘other’ decreased. 100 90 80 grams/day 70 60 1974 50 1994 40 30 20 10 0 Desserts**** Candy**** Condiments**** Salty snacks*** Seafood The amount of dessert and candy consumed decreased, While the amount of salty snacks increased. 80 70 grams per day 60 50 1974 40 1994 30 20 10 0 Egg*** Pork** Cheese**** Beef Poultry**** Egg and pork consumption decreased, while consumption of cheese, beef and poultry increased. 250 grams per day 200 150 1974 1994 100 50 0 Fats/Oils* Fruits/Juices** Veg Bread/Grains* Mixed Meats**** Consumption of fats/oils and breads/cereals decreased, while consumption of fruits/juices and mixed meats increased. 500 450 400 grams per day 350 300 1974 250 1994 200 150 100 50 0 Milk** Sw eet Bev** Milk consumption decreased while consumption of sweetened beverages increased. Amount consumed by meal 1800 1600 1400 grams per day 1200 1000 1974 1994 800 600 400 200 0 Breakfast Lunch**** Dinner**** Snacks**** Total** Total consumption and consumption at lunch and dinner Increased, while consumption of snacks decreased. Children’s Food Consumption Patterns Have Changed over Two Decades (19731994): The Bogalusa Heart Study Findings that may contribute to childhood obesity More food consumed at restaurants More fruits and fruit juices More cheese, mixed meat, beef, and poultry More salty snacks More sweetened beverages and less milk More food consumed at lunch and dinner More total food consumed Children’s Food Consumption Patterns Have Changed over Two Decades (19731994): The Bogalusa Heart Study Surprising findings Less food consumed at places other than home, school, restaurants Less fats and oils Less dessert and candy Less food consumed outside of meals (snacks) Parent Weight Change as a Predictor of Child Weight Change in FamilyBased Behavioral Obesity Treatment B. Wrotniak et al. Arch. Pediatr. Adolesc. Med. 158: 342-347 (Apr. 2004) Parent Weight Change as a Predictor of Child Weight Change in Family-Based Behavioral Obesity Treatment Family-based behavioral treatment Parenting techniques Reinforcement Stimulus control Environmental restructuring Obese parents make similar behavioral changes Parent Weight Change as a Predictor of Child Weight Change in Family-Based Behavioral Obesity Treatment Participants 142 obese children (8-12yo) and at least one parent attended family-based weight control program 2-year study with measurements at 6, 12, and 24 months Parent Weight Change as a Predictor of Child Weight Change in Family-Based Behavioral Obesity Treatment Both child and parents lost significant amounts of weight over 6 and 24 months Parent Weight Change as a Predictor of Child Weight Change in Family-Based Behavioral Obesity Treatment Parents who lost the most weight had children who lost the most weight. Parent Weight Change as a Predictor of Child Weight Change in Family-Based Behavioral Obesity Treatment Conclusions: “Parent z-BMI change was a significant predictor of child z-BMI change over 6 and 24 months.” “…youth benefit the most from parents who lose the most weight in family-based behavioral programs.” “…support the inclusion of parents into family-based programs for their children.” Reducing children’s television viewing to prevent obesity: A randomized controlled trial. T. Robinson JAMA 282:1561-1567 (1999) Reducing children’s television viewing to prevent obesity: A randomized controlled trial. Many observational studies have found associations between television viewing and child/adolescent adiposity. Reviewed in AAP’s Policy Statement Pediatrics 112:424-430 (2003) 25% children watch >4hrs TV/day BMI of children who watch >4hrs per day significantly greater than those watching < 2hrs per day TV in child’s bedroom significant predictor of overweight Reducing children’s television viewing to prevent obesity: A randomized controlled trial. 192 3rd & 4th grade children in two matched public elementary school Intervention group 18-lesson, 6-month classroom curriculum to reduce TV, videotape, and videogame use Measures at 0 and 8 months Reducing children’s television viewing to prevent obesity: A randomized controlled trial. Compared to controls, children in intervention group had statistically significant relative decreases in BMI, TSF, waist circumference, and W/H ratio. Reducing children’s television viewing to prevent obesity: A randomized controlled trial. The intervention significantly decrease children’s television viewing and video game use. Reducing children’s television viewing to prevent obesity: A randomized controlled trial. However, reducing television viewing did not significantly reduce: Or increase Frequency of snacking in front of TV Daily servings of high-fat foods Overall physical activity Fitness “Reducing television… may be a promising, population-based approach to help prevent childhood obesity.” Useful references American Academy of Pediatrics – Policy Statement Pediatrics 112:424-430(2003) Society for Nutrition Education Guidelines for Childhood Obesity Prevention Programs: Promoting Healthy Weight in Children J. Nutr. Ed. Behav. 35:1-3 (2003) Childhood and Adolescent Overweight: The Health Professional’s Guide to Identification, Treatment, and Prevention. M Mullen & J Shield ADA 2004