A Pilot Randomized Controlled Trial of a Clinic and Home‐Based Behavioral Intervention to Decrease Obesity in Preschoolers

We evaluated the efficacy of a 6‐month clinic and home‐based behavioral intervention (Learning about Activity and Understanding Nutrition for Child Health; LAUNCH) to reduce obesity in preschool children ≥95th BMI percentile compared to enhanced standard of care (Pediatrician Counseling; PC). LAUNCH was a family‐based behavioral intervention that taught parents to use child behavior management strategies to increase healthy eating and activity for their children and themselves. PC presented the same diet and activity recommendations, but was delivered in a one‐time PC session. Eighteen children aged 2–5 years (mean 4.71 ± 1.01) with an average BMI percentile of 98 (±1.60) and an overweight parent were randomized to LAUNCH or PC. Assessments were conducted at baseline, 6 months (end of LAUNCH treatment) and 12 months (6 months following LAUNCH treatment). LAUNCH showed a significantly greater decrease on the primary outcomes of child at month 6 (post‐treatment) BMI z (?0.59 ± 0.17), BMI percentile (?2.4 ± 1.0), and weight gain (?2.7 kg ± 1.2) than PC and this difference was maintained at follow‐up (month 12). LAUNCH parents also had a significantly greater weight loss (?5.5 kg ± 0.9) at month 6 and 12 (?8.0 kg ± 3.5) than PC parents. Based on the data from this small sample, an intensive intervention that includes child behavior management strategies to improve healthy eating and activity appears more promising in reducing preschool obesity than a low intensity intervention that is typical of treatment that could be delivered in primary care.     

Low Recognition of Childhood Overweight and Disease Risk among Native‐American Caregivers**

Objectives: Pediatric obesity is a significant and increasing problem in Native‐American communities. The aim of this study was to determine whether parents and other caregivers from three Wisconsin tribes recognized overweight children. We also assessed caregiver attributes associated with levels of concern for risk of future overweight and chronic disease. Research Methods and Procedures: Data were obtained from child health screenings and caregiver surveys. Participants included 366 kindergarten‐through‐second grade child–caregiver dyads. Children's BMI percentiles were calculated and compared with caregiver responses. We assessed the relationships between predictors of caregiver concern for health risk factors and recognition of overweight. Results: Twenty‐six percent of children were overweight (≥95th percentile), and 19% were at risk for being overweight (≥85th to <95th percentile) using Centers for Disease Control standards. Caregivers recognized only 15.1% of overweight children. Factors predictive of child overweight recognition included a child BMI >99th percentile and grandmother as caregiver. Overall, caregivers were more concerned about diabetes and cardiovascular disease than obesity. Parents with diabetes and heart disease were more concerned than others about risk for these diseases; however, only diabetic parents made a connection between child weight status and future risk of obesity‐related disease. Child sex, child age, and parental education level were not significant predictors for caregiver recognition of an overweight child. Discussion: Most caregivers did not recognize overweight children or associate excess weight with increased risk of disease. When designing community interventions, it is crucial to incorporate caregivers’ attitudes and beliefs regarding childhood overweight and risk of future disease.     

Observable Weight Distributions and Children's Individual Weight Assessment

Social networks theory suggests obesity is “contagious” within peer groups in that known friends highly influence weight. On the other hand, an alternative model suggests that observable weight distributions affect perception of one's own obesity level. We examine whether the BMI levels of the most obese classmates in the individual student's grade by gender is positively associated with “under‐assessment” of obesity and overweight (i.e., independently measured obesity or overweight, but subjective self‐assessment of normal weight). The data are the 2004–2005 School Physical Activity and Nutrition III (SPAN), a stratified, multistage probability sample of 4th, 8th, and 11th grade public school children in Texas. We used logistic regression to test whether the gender‐specific 85th percentile BMI level within the individual student's grade at their school is positively associated with “under‐assessment” of obesity and overweight. The results show that students are much more likely to under‐assess their own weight if the gender‐specific 85th percentile BMI level is higher in their grade at their school. These data suggest that observable weight distributions play a key role in the obesity epidemic.     

Two-year internet-based randomized controlled trial for weight loss in African-American girls

Objective: A randomized controlled trial tested the efficacy of an internet‐based lifestyle behavior modification program for African‐American girls over a 2‐year period of intervention. Research Methods and Procedures: Fifty‐seven overweight (mean BMI percentile, 98.3) African‐American girls (mean age, 13.2 years) were randomly assigned to an interactive behavioral internet program or an internet health education program, the control condition. Overweight parents were also participants in the study. Forty adolescent‐parent dyads (70%) completed the 2‐year trial. Outcome data including BMI, body weight, body composition, and weight loss behaviors were collected at baseline and at 6‐month intervals. A computer server tracked use of the web sites. Results: An intention‐to‐treat statistical approach was used, with the last observation carried forward. In comparison with the control condition, adolescents in the behavioral program lost more mean body fat (BF) (?1.12 ± 0.47% vs. 0.43 ± 0.47% BF, p < 0.05), and parents in the behavioral program lost significantly more mean body weight (?2.43 ± 0.66 vs. ?0.35 ± 0.64 kg, p < 0.05) during the first 6 months. This weight loss was regained over the next 18 months. After 2 years, differences in fat for adolescents (?0.08 ± 0.71% vs. 0.84 ± 0.72% BF) and weight for parents (?1.1 ± 0.91 vs. ?0.60 ± 0.89 kg) did not differ between the behavioral and control programs. Discussion: An internet‐based weight management program for African‐American adolescent girls and their parents resulted in weight loss during the first 6 months but did not yield long‐term loss due to reduced use of the web site over time.     

The Cost‐effectiveness of Australia's Active After‐school Communities Program

The objective of this study was to assess from a societal perspective the cost‐effectiveness of the Active After‐school Communities (AASC) program, a key plank of the former Australian Government's obesity prevention program. The intervention was modeled for a 1‐year time horizon for Australian primary school children as part of the Assessing Cost‐Effectiveness in Obesity (ACE‐Obesity) project. Disability‐adjusted life year (DALY) benefits (based on calculated effects on BMI post‐intervention) and cost‐offsets (consequent savings from reductions in obesity‐related diseases) were tracked until the cohort reached the age of 100 years or death. The reference year was 2001, and a 3% discount rate was applied. Simulation‐modeling techniques were used to present a 95% uncertainty interval around the cost‐effectiveness ratio. An assessment of second‐stage filter criteria (“equity,” “strength of evidence,” “acceptability to stakeholders,” “feasibility of implementation,” “sustainability,” and “side‐effects”) was undertaken by a stakeholder Working Group to incorporate additional factors that impact on resource allocation decisions. The estimated number of children new to physical activity after‐school and therefore receiving the intervention benefit was 69,300. For 1 year, the intervention cost is Australian dollars (AUD) 40.3 million (95% uncertainty interval AUD 28.6 million; AUD 56.2 million), and resulted in an incremental saving of 450 (250; 770) DALYs. The resultant cost‐offsets were AUD 3.7 million, producing a net cost per DALY saved of AUD 82,000 (95% uncertainty interval AUD 40,000; AUD 165,000). Although the program has intuitive appeal, it was not cost‐effective under base‐case modeling assumptions. To improve its cost‐effectiveness credentials as an obesity prevention measure, a reduction in costs needs to be coupled with increases in the number of participating children and the amount of physical activity undertaken.     

Behavioral risk factors for obesity during health transition in Vanuatu,South Pacific

The South Pacific archipelago of Vanuatu, like many developing countries, is currently experiencing a shift in disease burdens from infectious to chronic diseases with economic development. A rapid increase in obesity prevalence represents one component of this “health transition.” Objective: To identify behaviors associated with measures of obesity in Vanuatu. Design and Methods: Five hundred and thirty four adults from three islands varying in level of economic development were surveyed. Height, weight, waist, and hip circumferences; triceps, subscapular and suprailiac skinfolds; and percent body fat (%BF) by bioelectrical impedance were measured. Diet through 24‐h dietary recall and physical activity patterns using a survey were assessed. We analyzed prevalence of obesity and central obesity based on multiple indicators (body mass index, %BF, waist circumference, and waist‐to‐height ratio), and analyzed differences among islands and associations with behavioral patterns. Results: Obesity prevalence was lowest among rural and highest among suburban participants. Prevalence of central obesity was particularly high among women (up to 73.9%), even in rural areas (ranging from 14.7 to 41.2% depending on the measure used). Heavier reliance on animal protein and incorporation of Western foods in the diet—specifically, tinned fish and instant noodles—was significantly associated with increased obesity risk. Conclusions: Even in rural areas where diets and lifestyles remain largely traditional, modest incorporation of Western foods in the diet can contribute to increased risk of obesity. Early prevention efforts are thus particularly important during health transition. Where public health resources are limited, education about dietary change could be the best target for prevention.     

Increasing Fruit and Vegetable Intake and Decreasing Fat and Sugar Intake in Families at Risk for Childhood Obesity

Objective: The goal of this study was to evaluate the effect of a parent‐focused behavioral intervention on parent and child eating changes and on percentage of overweight changes in families that contain at least one obese parent and a non‐obese child. Research Methods and Procedures: Families with obese parents and non‐obese children were randomized to groups in which parents were provided a comprehensive behavioral weight‐control program and were encouraged to increase fruit and vegetable intake or decrease intake of high‐fat/high‐sugar foods. Child materials targeted the same dietary changes as their parents without caloric restriction. Results: Changes over 1 year showed that treatment influenced targeted parent and child fruit and vegetable intake and high‐fat/high‐sugar intake, with the Increase Fruit and Vegetable group also decreasing their consumption of high‐fat/high‐sugar foods. Parents in the increased fruit and vegetable group showed significantly greater decreases in percentage of overweight than parents in the decreased high‐fat/high‐sugar group. Discussion: These results suggest that focusing on increasing intake of healthy foods may be a useful approach for nutritional change in obese parents and their children.     

Childhood Obesity: Do Parents Recognize This Health Risk?

Objective: This study examined parents’ understanding of excess weight as a health risk, knowledge of healthy eating habits, and recognition of obesity in their children. Research Methods and Procedures: An anonymous questionnaire was distributed during well‐care visits involving children 4 to 8 years of age at a pediatric faculty practice. Parents indicated their level of concern about excess weight and other familiar health risks using a four‐point Likert scale, answered multiple‐choice questions concerning healthy eating patterns, and communicated their perceptions about their child's weight using a visual analog scale. A parent's perception was considered “accurate” if it deviated from the child's growth chart percentile by <30 points. Results: Of the 83 parents surveyed, 23% (19/83) had overweight children (≥95th percentile of age‐ and gender‐specific BMI growth charts). These parents did not differ from other parents in their level of concern about excess weight as a health risk or in their knowledge of healthy eating patterns, but the two groups of parents did differ in the accuracy of their perceptions about their children's weight. Only 10.5% of parents of overweight children (2/19) perceived their child's weight accurately compared with 59.4% of other parents (38/64; p < 0.001). Parents of overweight children invariably underestimated their children's weight. The median difference between their perception and the growth chart percentile was ?45 points. Discussion: Given that most parents of overweight children fail to recognize that their child has a weight problem, pediatricians should develop strategies to help these parents correct their misperceptions.     

Identifying patterns of eating and physical activity in children: a latent class analysis of obesity risk

We used latent class analysis (LCA) to identify heterogeneous subgroups with respect to behavioral obesity risk factors in a sample of 4th grade children (n = 997) residing in Southern California. Multiple dimensions assessing physical activity, eating and sedentary behavior, and weight perceptions were explored. A set of 11 latent class indicators were used in the analysis. The final model yielded a five-class solution: "High-sedentary, high-fat/high-sugar (HF/HS) snacks, not weight conscious," "dieting without exercise, weight conscious," "high-sedentary, HF/HS snacks, weight conscious," "active, healthy eating," and "low healthy, snack food, inactive, not weight conscious." The results suggested distinct subtypes of children with respect to obesity-related risk behaviors. Ethnicity, gender, and a socioeconomic status proxy variable significantly predicted the above latent classes. Overweight or obese weight status was determined based on the Centers for Disease Control and Prevention BMI (kg/m2)-for-age-and-sex percentile (overweight, 85th percentile ≤ BMI < 95th percentile; obese, 95th percentile ≤ BMI). The identified latent subgroup membership, in turn, was associated with the children's weight categories. The results suggest that intervention programs could be refined or targeted based on children's characteristics to promote effective pediatric obesity interventions.     

Parental recognition of overweight in school-age children

Objective: Examine the accuracy of parental weight perceptions of overweight children before and after the implementation of childhood obesity legislation that included BMI screening and feedback. Methods and Procedures: Statewide telephone surveys of parents of overweight (BMI ≥ 85th percentile) Arkansas public school children before (n = 1,551; 15% African American) and after (n = 2,508; 15% African American) policy implementation were examined for correspondence between parental perception of child's weight and objective classification. Results: Most (60%) parents of overweight children underestimated weight at baseline. Parents of younger children were significantly more likely to underestimate (65%) than parents of adolescents (51%). Overweight parents were not more likely to underestimate, nor was inaccuracy associated with parental education or socioeconomic status. African‐American parents were twice as likely to underestimate as whites. One year after BMI screening and feedback was implemented, the accuracy of classification of overweight children improved (53% underestimation). African‐American parents had significantly greater improvements than white parents (P < 0.0001). Discussion: Parental recognition of childhood overweight may be improved with BMI screening and feedback, and African‐American parents may specifically benefit. Nonetheless, underestimation of overweight is common and may have implications for public health interventions.     

Parental perceptions of overweight counseling in primary care: the roles of race/ethnicity and parent overweight

Objective: To examine parental perceptions of primary care efforts aimed at childhood obesity prevention Methods and Procedures: We interviewed 446 parents of children, aged 2–12 years, with an age‐ and sex‐specific BMI ≥85th percentile; interviews occurred within 2 weeks of their child's primary care visit. We assessed parental ratings of the nutrition and physical activity advice received. Using children's clinical heights and weights and parents' self‐reported heights and weights, we classified children into three categories: BMI 85th–94th percentile without an overweight parent, BMI 85th–94th percentile with an overweight parent (adult BMI ≥25 kg/m²), and BMI ≥95th percentile. Results: In multivariate analyses, compared to parents of children with BMI ≥95th percentile, overweight parents with children whose BMI was 85th–94th percentile were more likely to report receiving too little advice on nutrition and physical activity (odds ratio (OR) 3.05; 95% confidence interval (CI) 1.49, 6.25) and to rate as poor or fair the quality of advice they received (OR 2.23; 95% CI 1.18, 4.24). Independently, African‐American (OR 2.55; 95% CI 1.18, 5.51) and Hispanic/Latino (OR 2.78; 95% CI 1.27, 6.10) parents were more likely than white parents to rate as poor or fair the quality of advice they received. Discussion: Parental overweight is associated with low subjective ratings of overweight counseling in pediatric primary care. Our findings of poorer perceived quality among racial/ethnic minority parents need further investigation.     

Within-group social bonds in white-faced saki monkeys (Pithecia pithecia) display male-female pair preference

White‐faced saki monkeys (Pithecia pithecia) lack most of the behavioral and physical traits typical of primate monogamy [Fuentes, 1999 ]. In order to determine if social bonds in this species reflect patterns displayed by pair‐bonded groups or larger multimale–multifemale groups, we draw on 17 months of data collected on wild white‐faced sakis at Brownsberg Nature Park, Suriname. We analyzed within‐group social bonds for three habituated groups (one two‐adult and two multiadult groups) by measuring grooming, proximity, and approach/leave patterns between adult and subadult group members. We found that both two‐adult and multiadult groups showed significantly stronger social bonds between a single male–female dyad within each group (deemed “primary dyads”). In all three groups, primary dyads were composed of the oldest adult male and a breeding female. These pairs had significantly higher levels of grooming than other within‐group dyads and were also in close proximity (<1 m) more often than nonprimary dyads. Grooming in primary dyads was nonreciprocal, and consistently biased toward female investment. Grooming patterns in nonprimary dyads varied, but were often more reciprocal. Grooming and proximity of the primary dyad also changed in relation to infant development. Our results suggest that while white‐faced sakis do not show behavioral and physical traits typical of monogamy or pair‐bonding, social bonds are strongest between a single male–female pair. Pitheciine social systems range from small group monogamy in Callicebus to large multimale–multifemale groups in Chiropotes and Cacajao. As the middle taxon in this platyrrhine radiation, behavioral strategies of white‐faced sakis provide a model for how social bonds and affiliation could be influenced by and affect the evolution of larger group size in primates. Am. J. Primatol. 73:1051–1061, 2011. © 2011 Wiley‐Liss, Inc.     

Physical activity correlates in adolescent girls who differ by weight status

Objective: This study compared correlates of physical activity (PA) among African‐American and white girls of different weight groups to guide future interventions. Research Methods and Procedures: Participants were 1015 girls (mean age, 14.6 years; 45% African‐American) from 12 high schools in South Carolina who served as control subjects for a school‐based intervention. Post‐intervention measures obtained at the end of ninth grade were used. PA was measured using the Three‐Day PA Recall, and a questionnaire measured social‐cognitive and environmental variables thought to mediate PA. Height and weight were measured, and BMI was calculated. Girls were stratified by race and categorized into three groups, based on BMI percentiles for girls from CDC growth charts: normal (BMI < 85th percentile), at risk (BMI, 85th to 94th percentile), and overweight (BMI ≥ 95th percentile). Girls were further divided into active and low‐active groups, based on a vigorous PA standard (average of one or more 30‐minute blocks per day per 3‐day period). Mixed‐model ANOVA was used to compare factors among groups, treating school as a random effect Results: None of the social‐cognitive or environmental variables differed by weight status for African‐American or white girls. Perceived behavioral control and sports team participation were significantly higher in girls who were more active, regardless of weight or race group. In general, social‐cognitive variables seem to be more related to activity in white girls, whereas environmental factors seem more related to activity in African‐American girls. Discussion: PA interventions should be tailored to the unique needs of girls based on PA levels and race, rather than on weight status alone.     

How Many Calories Are on Our Plate? Expected Fullness,Not Liking,Determines Meal‐size Selection

The availability of highly palatable food is thought to stimulate the selection of larger meals (leading to weight gain and obesity). In this article, we explore aspects of this proposition. Specifically, we scrutinize two basic assumptions: (i) palatable energy‐dense foods are more rewarding (desired), and (ii) these palatable foods are selected in relatively larger portions. In combination with palatability, we also consider the relative role for “expected satiation”—the extent to which a food is expected to deliver satiation. A total of 17 commonly consumed foods were assessed by 28 normal‐weight participants at lunchtime. Critically, our measure of food reward and expected satiation involves comparisons between foods based on equicaloric portions. When assessed in this way, we find that food reward and ideal portion sizes (in kcal) are both closely associated with expected satiation, but not with “expected liking.” Low expected satiation (not expected liking) predicts the selection of large portion sizes (in kcal) and foods with this characteristic tend to be more energy dense and are regarded as less (not more) rewarding (when compared calorie for calorie). Together, these findings challenge the role of palatability in meal‐size selection and they highlight the importance of expected satiation, a “nonaffective” component of food reward.     

Is Dietary Fat Intake Related to Liking or Household Availability of High‐ and Low‐Fat Foods?

Objectives : Despite the increasing availability of low‐ and reduced‐fat foods, Americans continue to consume more fat than recommended, which may be a contributing factor to the obesity epidemic. This investigation examined relationships between liking and household availability of high‐ and low‐fat foods and their association with dietary fat intake. Research Methods and Procedures : A food frequency questionnaire assessed percent calories from fat consumed over the past year in 85 men and 80 women. Participants reported their degree of liking 22 “high‐fat foods” (>45% calories from fat) and 22 “low‐fat foods” (<18% calories from fat), and the number and percentage (number of high‐ or low‐fat foods/total number of foods × 100) of these high‐ and low‐fat foods in their homes. Results : Hierarchical regression analyses examined the ability of liking and household availability of low‐ and high‐fat foods to predict percent dietary fat intake. After controlling for age, sex, and BMI, liking ratings for high‐ and low‐fat foods and the interaction of liking for low‐fat foods by the percentage of low‐fat foods in the household were significant predictors of percent dietary fat consumed. Greater liking of high‐fat foods and lower liking of low‐fat foods, both alone and combined with a lower percentage of low‐fat foods in the home, were predictive of higher dietary fat intake. Discussion : Interventions designed to reduce dietary fat intake should target both decreasing liking for high‐fat foods and increasing liking for low‐fat foods, along with increasing the proportion of low‐fat foods in the household.     

Results of Go Girls: A Weight Control Program for Overweight African‐American Adolescent Females

Objective: Go Girls was a church‐based nutrition and physical activity program designed for overweight African‐American (AA) adolescent females. Research Methods and Procedures: Ten predominantly middle‐socioeconomic churches were randomized to either a high‐intensity (20 to 26 sessions) or moderate‐intensity (six sessions) culturally tailored behavioral group intervention delivered over 6 months. Each session included an experiential behavioral activity, ～30 minutes of physical activity, and preparation and tasting of healthy foods. In the high‐intensity group, girls also received four to six telephone counseling calls. From the 10 churches, 123 girls completed baseline and 6‐month post‐test assessments. The primary outcome was BMI; secondary outcomes included waist and hip circumferences, percentage body fat estimated by bioimpedance, serum insulin, glucose, and lipids, and cardiovascular fitness at 6‐month follow‐up. Selected measures were also collected at 1‐year follow‐up. Results: At 6‐month follow‐up, the net difference between the high‐ and moderate‐intensity groups was 0.5 BMI units. This difference was not statistically significant (p = 0.20). There were no significant group differences in secondary outcomes. Girls in the high‐intensity condition, however, who attended more than three‐quarters of the sessions had significantly lower BMI and percentage body fat relative to girls in the high‐intensity group who attended fewer sessions. Findings at 1‐year follow‐up mirrored those at 6 months. Discussion: We concluded that the intervention was not effective in reducing adiposity, although there were some positive findings among high attenders. Despite the null result, the intervention was generally well received by participants. Future interventions may require greater dose and a more structured dietary change program.     

Family Dinner and Adolescent Overweight

Objective: The purpose of this study was to examine both cross‐sectional and longitudinal associations between frequency of family dinner and overweight status in a large sample of 9‐ to 14‐year‐old children. Research Methods and Procedures: We studied a cohort of 7784 girls and 6647 boys, 9 to 14 years of age at baseline in 1996, participating in the Growing Up Today Study. From annual mailed surveys, we calculated BMI from self‐reported height and weight and assessed frequency of family dinner over the previous year. We defined “overweight” as age‐ and sex‐specific BMI >85th percentile. We performed multiple logistic regression analyses; the longitudinal analyses assessed the association of previous year family dinner consumption with 1‐year incidence of becoming overweight, using prospective data from 1996 through 1999. Results: At baseline in 1996, 16% of participants had family dinner “never or some days,” 40% on “most days,” and 44% “every day.” Across these categories, overweight prevalence for girls was 19.4%, 16.6%, and 16.7% and for boys was 24.6%, 23.3%, and 22.7%, respectively. In cross‐sectional analyses, adjusting for potential confounders, the odds of being overweight was 0.85 [95% confidence interval (CI): 0.76, 0.96] among children who ate family dinner on “most days” or “every day” compared with those who ate family dinner “never or some days.” In longitudinal multivariate models, the odds ratios between previous year frequency of eating family dinner and 1‐year incidence of becoming overweight were 0.95 (95% CI: 0.78, 1.16) and 1.04 (95% CI: 0.85, 1.27) for children who ate family dinner on “most days” and “every day,” respectively, compared with those who ate family dinner “never or some days.” Discussion: The frequency of eating family dinner was inversely associated with overweight prevalence at baseline but not with likelihood of becoming overweight in longitudinal analyses.     

A community intervention reduces BMI z-score in children: Shape Up Somerville first year results

Objective: The objective was to test the hypothesis that a community‐based environmental change intervention could prevent weight gain in young children (7.6 ± 1.0 years). Research Methods and Procedures: A non‐randomized controlled trial was conducted in three culturally diverse urban cities in Massachusetts. Somerville was the intervention community; two socio‐demographically‐matched cities were control communities. Children (n = 1178) in grades 1 to 3 attending public elementary schools participated in an intervention designed to bring the energy equation into balance by increasing physical activity options and availability of healthful foods within the before‐, during‐, after‐school, home, and community environments. Many groups and individuals within the community (including children, parents, teachers, school food service providers, city departments, policy makers, healthcare providers, before‐ and after‐school programs, restaurants, and the media) were engaged in the intervention. The main outcome measure was change in BMI z‐score. Results: At baseline, 44% (n = 385), 36% (n = 561), and 43% (n = 232) of children were above the 85th percentile for BMI z‐score in the intervention and the two control communities, respectively. In the intervention community, BMI z‐score decreased by ?0.1005 (p = 0.001, 95% confidence interval, ?0.1151 to ?0.0859) compared with children in the control communities after controlling for baseline covariates. Discussion: A community‐based environmental change intervention decreased BMI z‐score in children at high risk for obesity. These results are significant given the obesigenic environmental backdrop against which the intervention occurred. This model demonstrates promise for communities throughout the country confronted with escalating childhood obesity rates.     

Eating in the Absence of Hunger: A Genetic Marker for Childhood Obesity in Prepubertal Boys?

Objective: Eating in the absence of hunger (EAH) may be a behavioral trait through which obesity‐promoting genes promote positive energy balance. The primary aim of this study was to compare children born at high vs. low risk for obesity with respect to EAH at 5 years of age. Research Methods and Procedures: This was an observational investigation of families enrolled in the University of Pennsylvania and The Children's Hospital of Philadelphia's Infant Growth Study. Five‐year‐old children born at high (N = 28) or low (N = 25) risk for obesity on the basis of maternal prepregnancy body weight were evaluated at a hospital‐based laboratory. Children consumed 11 snack foods ad libitum after consuming an ad libitum dinner and reporting fullness. Parents reported on snack foods at home and their own eating styles. Nutritive sucking at 3 months of age was evaluated by computerized apparatus. Results: EAH in high‐risk boys (mean ± standard error = 326 ± 66 kJ] was more than twice that of low‐risk boys (mean ± standard error = 151 ± 39 kJ), p = 0.03. Among girls, there was a trend for EAH to be associated with increased parental limitations on daughter snack food consumption at home (p = 0.06). EAH was unrelated to 3‐month sucking behavior. Discussion: Genes that promote childhood obesity may partially exert their influence through EAH, an effect that was limited to boys born at risk for obesity. The unique influences of genes and home environment on this trait should be disaggregated in subsequent studies.