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.     

Parent overweight predicts daughters' increase in BMI and disinhibited overeating from 5 to 13 years

Objective: To assess whether parental overweight status and disinhibited overeating are predictive of daughters’ accelerated weight gain and disinhibited overeating. Research Methods and Procedures: Participants were part of a longitudinal study of girls (N = 197) and their parents. Measured height and weight were used to calculate BMI [weight (kilograms)/height (meters)²]. Parents’ disinhibited eating behavior was assessed using the Eating Inventory. Girls’ disinhibited eating was assessed using a behavioral protocol to measure eating in the absence of hunger. Girls were classified based on parental overweight at study entry into four groups: neither, mother only, father only, or both parents overweight. Results: Girls with both parents overweight had the most rapid increases in BMI from 5 to 13 years of age; BMI increased most slowly among the neither parent overweight group, with intermediate increases in BMI among mother only and father only overweight groups. Daughters with both parents overweight at study entry were eight times more likely to be overweight at age 13, controlling for daughters’ weight at age 5. Girls with both parents overweight had higher levels of disinhibited eating across all ages than all other groups. Although girls in all parental weight status groups showed increases in disinhibited eating over time, girls with both parents overweight had larger increases in disinhibited eating over time compared with all other groups. Discussion: Girls growing up in families differing in parental overweight had divergent developmental trajectories for BMI and disinhibited overeating. Findings reveal the need to focus prevention efforts on overweight parents of young children.     

Reexamining Obesigenic Families: Parents’ Obesity‐related Behaviors Predict Girls’ Change in BMI

Objective: It has been shown that girls from families in which mothers and fathers had high dietary intake and low physical activity (i.e., obesigenic families) were at increased risk of obesity from ages 5 to 7 years. This follow‐up study uses additional data collected when girls were 9 and 11 years old to examine whether girls from obesigenic families continued to show greater increases in BMI over time and reported unhealthy dietary and activity patterns. Research Methods and Procedures: Families from the original cohort were reexamined when girls were 9 and 11 years of age. Parents’ and girls’ BMI, dietary intake, and physical activity and girls’ percentage body fat and television viewing were assessed. Results: In comparison with girls from non‐obesigenic families, girls from obesigenic families showed greater increases in BMI and BMI z score from ages 5 to 7 years that were maintained across ages 7 to 11 years. Furthermore, girls from obesigenic families had higher percentage body fat at ages 9 and 11 years. These results were independent of parents’ BMI. Additional findings showed that girls from obesigenic families had diets higher in percentage fat and had higher levels of television viewing than girls from non‐obesigenic families. Discussion: The environment that parents create, by way of their own dietary and physical activity behaviors, may have a lasting negative effect on children's weight trajectories and their emerging obesity risk behaviors, such as their dietary patterns. These findings further highlight the importance of the family in establishing children's obesity risk and the necessity of targeting parents of young children in obesity prevention efforts.     

Body mass effects of a physical activity and healthy food intervention in middle schools

Objective: To evaluate the effects of a 2‐year middle school physical activity and healthy food intervention, including an environmental and computer‐tailored component on BMI and BMI z‐score in boys and girls. Research Methods and Procedures: A random sample of 15 schools with seventh and eighth graders was randomly assigned to three conditions: an intervention with parental support group, an intervention‐alone group, and a control group. Weight and height were measured at the beginning and end of each school year to assess BMI and BMI z‐score. A physical activity and healthy food program was implemented over 2 school years. Results: In girls, BMI and BMI z‐score increased significantly less in the intervention with parental support group compared with the control group (p < 0.05) or the intervention‐alone group (p = 0.05). In boys, no significant positive intervention effects were found. Discussion: This was the first study evaluating the effectiveness of an intervention combining environmental changes with personal computer‐tailored feedback on BMI and BMI z‐score in middle school children. After 2 school years, BMI and BMI z‐score changed in a more positive direction in girls as a result of the intervention with parental support.     

Influence of parents' eating behaviors and child feeding practices on children's weight status

Objective : To investigate the effects of mothers’ and fathers’ eating behaviors, child feeding practices, and BMI on percentage body fat and BMI in their children. Research Methods and Procedures : Four hundred fifty‐eight parents (239 mothers, 219 fathers) were asked to complete two questionnaires: the Three‐Factor Eating Questionnaire and the Child Feeding Questionnaire, which measure dimensions of parent eating behavior and child feeding practices, respectively. Parent BMI was calculated from self‐reported height and weight; children's measures included BMI and percentage fat assessed by DXA. Regression analyses were used to analyze relationships between parents’ BMI and questionnaire scores and children's weight status. Results : One hundred forty‐three mothers and 68 fathers returned questionnaires, representing parents of 148 children 3 to 5 years old (78 boys). Children's weight was related to mothers’ BMI, but not fathers’. Girls had a greater BMI if either parent reported being overweight as a child, and both girls and boys were likely to be overweight if their mothers believed they had risky eating habits (fussiness, eating too much, etc.). Girls with fathers who were more controlling had a higher percentage fat; these fathers were also more concerned about their daughters’ future health. Discussion : Mothers exert a strong influence over their children's weight and seem to be more concerned about their children's eating behaviors; however, fathers play a role in imposing child feeding practices. Gender bias may be present in child feeding, as suggested by dissimilar effects of parent practices on the weight status of girls vs. boys. Fathers should be included in future studies analyzing parent feeding practices and children's weight outcome.     

Rate of Fat Gain Is Faster in Girls Undergoing Early Adiposity Rebound

Objective: To determine the changes in body composition (fat and lean mass) occurring in children during adiposity rebound (AR). Research Methods and Procedures: Thirty‐nine girls, 3 to 6 years of age at baseline, underwent yearly DXA scans for 2 years. An additional DXA scan was obtained 4 to 5 years after baseline. Age at AR was determined by modeling, and the velocity of change in height, weight, fat mass, and lean mass was estimated for each child using random coefficient models. Girls with an AR <5 years of age were classified as having an early AR, and those having an AR ≥5 years were classified as late AR. Results: Although body composition was similar at age 5, by age 9, girls with an early AR were significantly taller (3.5% more) and heavier (14.4%), with greater fat mass (50%) and percentage body fat (27%) than girls with a later AR. In addition, more girls were overweight according to BMI (18% vs. 6%) or percentage body fat (29% vs. 11%) at this time, despite no differences at baseline. Annual velocity of fat mass gain was over 2‐fold higher in early compared with late rebounders (17.1% vs. 6.5%, p < 0.0001), with no difference in lean mass velocity (13.1% vs. 12.5%, p = 0.116). Discussion: Differences in BMI during AR were caused specifically by alterations in body fat and not by alterations in lean mass or height. Children undergoing early AR gained fat at a faster rate than children who rebounded at a later age.     

Childhood Obesity Prevention: An Intervention Targeting Primary Caregivers of School Children

Community‐based participatory research (CBPR) was used to design and evaluate the effectiveness of a culturally relevant, science‐based intervention for the prevention of childhood obesity in the Commonwealth of the Northern Mariana Islands (CNMI), a US Commonwealth in the western Pacific. This cognitive behavioral lifestyle intervention, Project Familia Giya Marianas (PFGM), was offered during the 2005–2007 school years in all CNMI public elementary schools over eight sessions to primary caregivers of 3rd grade children (N = 407). A crossover design was utilized with half of the schools offering the intervention in the Fall term, while the other half delivered the sessions in the Spring term. The primary outcome measure was change in BMI z‐score. There was an intervention‐dependent effect on BMI z‐score, with program impact being a function of baseline BMI and the number of lessons attended. This effect was most apparent in students whose baseline BMI z‐score was in healthy range (≥5 to <85 percentile). In both Asian and Pacific Island groups, children whose caregivers completed 5–8 lessons experienced a significant change in BMI z‐score as compared to those with 0 lessons (P < 0.05). Research that integrates multidisciplinary and multimethod approaches is effective in identifying and/or devising solutions to address a complex condition such as childhood obesity. PFGM demonstrated that community participation can be successfully utilized in the development and implementation of childhood obesity prevention programs.     

Weight‐Bearing Physical Activity among Girls and Mothers: Relationships to Girls’ Weight Status

Objective: To assess weight‐bearing physical activity (WBPA) barriers, benefits, self‐efficacy, social influence, and behaviors [WBPA and physical activity (PA)] among girls and their mothers according to girls’ weight status (nonoverweight vs. overweight). Research Methods and Procedures: Participants were 9‐ to 11‐year‐old girls (n = 295) and their mothers who participated in the baseline assessment of a nutrition and PA intervention trial. Girls’ and mothers’ WBPA attitudes and mothers’ WBPA behaviors were self‐reported on questionnaires. Girls’ WBPA and total PA behaviors were self‐reported using a structured interview (Physical Activity Checklist Interview). Stature and weight were measured by standardized anthropometrics. Overweight status was based on BMI. Results: Compared with nonoverweight girls, overweight girls were significantly more likely to report barriers to WBPA participation and perceive social influence from family and friends to do more WBPA. They were also significantly less likely to report self‐efficacy regarding WBPA and to believe that they did enough WBPA. Compared with mothers of nonoverweight girls, mothers of overweight girls were significantly more likely to report that it is difficult to persuade their daughters to do more WBPA and significantly less likely to report that WBPA was fun for their daughters. Girls’ overweight status was not associated with girls’ reports of minutes spent per week in PA or WBPA. Discussion: The present study's findings of lower WBPA self‐efficacy, lack of enjoyment of WBPA, and higher perceived social influence to do WBPA among overweight girls suggest that efforts are needed to promote physical competencies and positive perceptions of PA among overweight girls.     

Developmental Trajectories of Girls' BMI Across Childhood and Adolescence

This study describes qualitatively distinct trajectories of BMI change among girls participating in a longitudinal study of non‐Hispanic, white girls (n = 182) and their parents, assessed at daughters' ages 5, 7, 9, 11, 13, and 15 years. Height, weight, body fat, fasting blood glucose and lipids, blood pressure, waist circumference, and pubertal status were measured, and participants self‐reported dietary, physical activity, and television (TV) viewing patterns. Growth mixture models were used to model heterogeneity in girls' BMI trajectories over 10 years. Statistical support was strongest for four distinct BMI trajectories: (i) upward percentile crossing (UPC; n = 25, 14%); (ii) delayed downward percentile crossing (DDPC; n = 37, 20%); (iii) 60th percentile tracking (60PT; n = 52, 29%); and (iv) 50th percentile tracking (50PT; n = 68, 37%). Girls in the UPC group had more metabolic risk factors at age 15 years, even after adjusting for concurrent weight status. Girls in the UPC group had mothers with the highest BMIs at study entry and were breast‐fed for a shorter duration. This novel approach for examining differences in growth trajectories revealed four distinct BMI trajectories that predicted adolescent metabolic health outcomes in girls. The present study provides support for BMI monitoring in girls and for the potential utility of combining data on BMI tracking with data on familial characteristics for the early identification of girls at elevated risk for obesity and metabolic syndrome.     

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.     

Translation of a behavioral weight loss intervention for mid‐life,low‐income women in local health departments

Objective: To translate a behavioral weight loss intervention for mid‐life, low‐income women in real world settings. Design and Methods: In this pragmatic clinical trial, we randomly selected six North Carolina county health departments and trained their current staff to deliver a 16‐session evidence‐based behavioral weight loss intervention (special intervention, SI). SI weight loss outcomes were compared to a delayed intervention (DI) control group. Results: Of 432 women expressing interest, 189 completed baseline measures and were randomized within health departments to SI (N = 126) or DI (N = 63). At baseline, average age was 51 years, 53% were African American, mean weight was 100 kg, and BMI averaged 37 kg/m². A total of 96 (76%) SI and 55 (87%) DI participants returned for 5‐month follow‐up measures. The crude weight change was ?3.1 kg in the SI and ?0.4 kg in the DI group, for a difference of 2.8 kg (95% CI 1.4 to 4.1, p = 0.0001). Diet quality and physical activity improved significantly more in the SI group, and estimated intervention costs were $327 per participant. Conclusion: This pragmatic short‐term weight loss intervention targeted to low‐income mid‐life women yielded meaningful weight loss when translated to the county health department setting.     

Effects of a Low‐intensity Intervention That Prescribed a Low‐carbohydrate vs. a Low‐fat Diet in Obese,Diabetic Participants

Low‐carbohydrate diets have been associated with significant reductions in weight and HbA_1c in obese, diabetic participants who received high‐intensity lifestyle modification for 6 or 12 months. This investigation sought to determine whether comparable results to those of short‐term, intensive interventions could be achieved over a 24‐month study period using a low‐intensity intervention that approximates what is feasible in outpatient practice. A total of 144 obese, diabetic participants were randomly assigned to a low‐carbohydrate diet (<30 g/day) or to a low fat diet (≤30% of calories from fat with a deficit of 500 kcal/day). Participants were provided weekly group nutrition education sessions for the first month, and monthly sessions thereafter through the end of 24 months. Weight, HbA_1c, glucose, and lipids were measured at baseline and 6, 12, and 24 months. Of the 144 enrolled participants, 68 returned for the month 24 assessment visit. Weights were retrieved from electronic medical records for an additional 57 participants (total, 125 participants) at month 24. All participants with a baseline measurement and at least one of the three other measurements were included in the mixed‐model analyses (n = 138). The low‐intensity intervention resulted in modest weight loss in both groups at month 24. At this time, participants in the low‐carbohydrate group lost 1.5 kg, compared to 0.2 kg in the low‐fat group (P = 0.147). Lipids, glycemic indexes, and dietary intake did not differ between groups at month 24 (or at months 6 or 12) (ClinicalTrials.gov number, NCT00108459).     

Family‐based hip‐hop to health: Outcome results

Objective:

This pilot study tested the feasibility of Family‐Based Hip‐Hop to Health, a school‐based obesity prevention intervention for 3–5‐year‐old Latino children and their parents, and estimated its effectiveness in producing smaller average changes in BMI at 1‐year follow‐up.

Design and Methods:

Four Head Start preschools administered through the Chicago Public Schools were randomly assigned to receive a Family‐Based Intervention (FBI) or a General Health Intervention (GHI).

Results:

Parents signed consent forms for 147 of the 157 children enrolled. Both the school‐based and family‐based components of the intervention were feasible, but attendance for the parent intervention sessions was low. Contrary to expectations, a downtrend in BMI Z‐score was observed in both the intervention and control groups.

Conclusions:

While the data reflect a downward trend in obesity among these young Hispanic children, obesity rates remained higher at 1‐year follow‐up (15%) than those reported by the National Health and Nutrition Examination Survey (2009–2010) for 2–5‐year‐old children (12.1%). Developing evidence‐based strategies for obesity prevention among Hispanic families remains a challenge.     

Treatment outcome in people with subthreshold compared with full-syndrome binge eating disorder

Objective: There is a controversial discussion in the literature as to whether individuals with subthreshold binge eating disorder (subBED) differ clinically significantly from individuals with full‐syndrome binge eating disorder (BED). This study was designed to compare eating‐related and general psychopathology at baseline and in response to a multimodal treatment program in obese people with subBED compared with BED. Research Methods and Procedures: A total of 96 obese participants (BMI ≥ 30 kg/m²) were assessed for eating‐related and general psychopathology at baseline. Thirty‐nine participants meeting criteria for BED and 19 participants meeting criteria for subBED attended a 15‐session outpatient group therapy including cognitive behavioral therapy extended by interpersonal therapy, nutritional counseling, and a supervised walking exercise. Participants with eating disorders were reassessed at the end of treatment and at 3‐month follow‐up. The obese control group without an eating disorder (n = 38) was assessed once. This was not a randomized controlled trial. Results: Intent‐to‐treat analyses revealed no differences between subBED and full‐syndrome BED participants with regard to eating‐related and general psychopathology at baseline and with regard to treatment outcome. All participants experienced substantial improvements, and the results remained stable during follow‐up (except for dietary restraint). At follow‐up, participants with subBED and BED remained different from non‐eating disorder controls in eating‐related but not general psychopathology. Discussion: The findings indicate that our multimodal treatment program is equally effective in obese subBED and BED participants, suggesting that a differentiation currently seems not to be of clinical significance.     

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.     

Hip-Hop to Health Jr. for Latino preschool children

Objective: Hip‐Hop to Health Jr. was a diet/physical activity intervention designed to reduce gains in BMI (kilograms per meter squared) in preschool minority children. Research Methods and Procedures: Twelve predominantly Latino Head Start centers participated in a group‐randomized trial conducted between Fall 2001 and Winter 2003. Six centers were randomized to a culturally proficient 14‐week (three times weekly) diet/physical activity intervention. Parents participated by completing weekly homework assignments. The children in the other six centers received a general health intervention that did not address either diet or physical activity. The primary outcome was change in BMI, and secondary outcomes were changes in dietary intake and physical activity. Measures were collected at baseline, post‐intervention, and at Years 1 and 2 follow‐up. Results: There were no significant differences between intervention and control schools in either primary or secondary outcomes at post‐intervention, Year 1, or Year 2 follow‐ups. Discussion: When Hip‐Hop to Health Jr. was conducted in predominantly black Head Start centers, it was effective in reducing subsequent increases in BMI in preschool children. In contrast, when the program was conducted in Latino centers, it was not effective. Although the intervention did not prevent excessive weight gain in Latino children, it was very well received. Future interventions with this population may require further cultural tailoring and a more robust parent intervention.     

Does Excess Pregnancy Weight Gain Constitute a Major Risk for Increasing Long‐term BMI?

Objective: The objective was to assess the relevance of the recommendations of the Institute of Medicine (IOM), regarding gestational weight gain (GWG) for long‐term BMI development. Research Methods and Procedures: The Stockholm Pregnancy and Women's Nutrition is a follow‐up study of 483 women who delivered children in 1984 to 1985. ANOVA was used to examine the change in body weight before pregnancy, at 6 months, and 1 year postpartum and 15 years after childbirth. Multiple linear regression was used to assess the predictors of BMI at 15‐year follow‐up. Results: The weight increase from baseline to 15‐year follow‐up was 6.2 kg for IOM‐insufficient, 6.7 kg for IOM‐recommended, and 10.0 kg for IOM‐excessive weight gain (p < 0.01). ANOVA showed a main effect of time, group and group by time interaction. The weight of the women who had excessive GWG was significantly greater at each time‐point of follow‐up than the weight of those who gained within or below recommendations. GWG was related to BMI at 15‐year follow‐up even after accounting for several confounders. Women who gained excessive weight during pregnancy had an increase of 0.72 kg/m² in long‐term BMI compared with women who gained within recommendations. Discussion: The findings support the adequateness of IOM guidelines, not only for the pregnancy‐related health matters, but also for preventing long‐term weight retention after delivery. Healthcare providers should give women appropriate advice for controlling GWG and motivate them to lose pregnancy‐related weight during postpartum to prevent future overweight.     

Effects of a reimbursement incentive on enrollment in a weight control program

Objective: The objective was to examine the effect of offering a reimbursement incentive on the percentage of inquirers who enrolled in a weight control program and on weight loss and program attendance among enrollees. Research Methods and Procedures: We used a sequential control‐intervention design to observe how inquirers of the University of Alabama at Birmingham EatRight Lifestyle Program responded to an enrollment incentive for potential 50% ($150) reimbursement of the total program fee if they attended 10 of 12 classes and lost at least 6% of their current body weight. Inquirers had to be adults with a BMI ≥30 kg/m², seeking information about a weight control program, and informed of the program cost. Outcomes included proportion of inquirers enrolled, overall number of classes attended, and weight loss. Results: Of the 401 people who inquired during the study periods, 24.5% and 25.0% enrolled in the intervention and control periods, respectively. There was a trend toward higher attendance in the intervention group, compared with the control group; there were no differences in percentage of weight loss. The odds of attending ≥10 classes were 2.4 times as high, and both losing >6% body weight and attending ≥10 classes were three times as high in the intervention subjects compared with controls, although non‐significant. Discussion: The potential of earning a performance‐based reimbursement incentive did not affect enrollment in the EatRight Lifestyle Program. Performance‐based incentives may be an ideal mechanism for extending coverage of weight‐loss interventions by insurers because of limited financial risk and improved adherence.     

Baseline Correlates of Insulin Resistance in Inner City High‐BMI African‐American Children

To characterize the influence of diet‐, physical activity–, and self‐esteem‐related factors on insulin resistance in 8–10‐year‐old African‐American (AA) children with BMI greater than the 85th percentile who were screened to participate in a community‐based type 2 diabetes mellitus (T2DM) prevention trial. In 165 subjects, fasting glucose‐ and insulin‐derived values for homeostasis model assessment of insulin resistance (HOMA‐IR) assessed insulin resistance. Body fatness was calculated following bioelectrical impedance analysis, and fitness was measured using laps from a 20‐m shuttle run. Child questionnaires assessed physical activity, dietary habits, and self‐esteem. Pubertal staging was assessed using serum levels of sex hormones. Parent questionnaires assessed family demographics, family health, and family food and physical activity habits. Girls had significantly higher percent body fat but similar anthropometric measures compared with boys, whereas boys spent more time in high‐intensity activities than girls. Scores for self‐perceived behavior were higher for girls than for boys; and girls desired a more slender body. Girls had significantly higher insulin resistance (HOMA‐IR), compared with boys (P < 0.01). Adjusting for age, sex, pubertal stage, socioeconomic index (SE index), and family history of diabetes, multivariate regression analysis showed that children with higher waist circumference (WC) (P < 0.001) and lower Harter's scholastic competence (SC) scale (P = 0.044) had higher insulin resistance. WC and selected self‐esteem parameters predicted insulin resistance in high‐BMI AA children. The risk of T2DM may be reduced in these children by targeting these factors.     

High visceral fat mass and high liver fat are associated with resistance to lifestyle intervention

Objective: High visceral adipose tissue (VAT) and high liver fat (LF) are associated with the metabolic syndrome and diabetes. We studied changes in these two fat depots during weight loss and analyzed whether VAT and LF at baseline predict the response to lifestyle intervention. Research Methods and Procedures: One hundred twelve subjects (48 men and 64 women; age, 46 ± 11 years; BMI, 29.2 ± 4.4 kg/m²) were studied after a follow up‐time of 264 ± 60 (SD) days. Insulin sensitivity was estimated from the oral glucose tolerance test. Body fat depots were quantified using magnetic resonance imaging and spectroscopy. Results: Cross‐sectionally high VAT (r = ?0.22, p = 0.02) and high LF (r = ?0.36, p < 0.0001) were independently associated with low insulin sensitivity. With intervention, BMI (?3.0%), VAT (?12.0%), and LF (?33.0%) were reduced (all p < 0.001). Insulin sensitivity was improved (+17%, p < 0.01). The changes in BMI (r = ?0.41), VAT (r = ?0.28), and LF (r = ?0.39) were associated with the increase in insulin sensitivity (all p < 0.01). High VAT (r = ?0.28, p = 0.01) and high LF (r = ?0.38, p < 0.01) at baseline were associated with a lesser increase in insulin sensitivity. Discussion: Baseline values and changes in BMI, VAT, and LF are related to changes in insulin sensitivity during lifestyle intervention. Subjects with high VAT and LF have a lower chance of profiting from lifestyle intervention and may require intensified lifestyle prevention strategies or even pharmacological approaches to improve insulin sensitivity.