Parental perspectives regarding primary-care weight-management strategies for school-age children.

To identify parental perspectives regarding weight-management strategies for school-age children, focus groups were conducted of parents of overweight and obese (body mass index ≥ 85th percentile) 6-12-year-old children recruited from primary-care clinics. Questions focused on the role of the primary-care provider, effective components of weight-management strategies and feasibility of specific dietary strategies. Focus groups were recorded, transcribed and analysed using margin coding and grounded theory. Six focus groups were held. The mean age (in years) for parents was 32, and for children, eight; 44% of participants were Latino, 33%, African-American and 23%, white. Parents' recommendations on the primary-care provider's role in weight management included monitoring weight, providing guidance regarding health risks and lifestyle changes, consistent follow-up and using discretion during weight discussions. Weight-management components identified as key included emphasising healthy lifestyles and enjoyment, small changes to routines and parental role modelling. Parents prefer guidance regarding healthy dietary practices rather than specific weight-loss diets, but identified principles that could enhance the acceptability of these diets. For dietary guidance to be feasible, parents recommended easy-to-follow instructions and emphasising servings over counting calories. Effective weight-management strategies identified by parents include primary-care provider engagement in weight management, simple instructions regarding healthy lifestyle changes, parental involvement and deemphasising specific weight-loss diets. These findings may prove useful in developing primary-care weight-management strategies for children that maximise parental acceptance.

Primary-Care Weight-Management Strategies: Parental Priorities and Preferences.

OBJECTIVE: To examine parental perspectives/rankings of the most important weight-management clinical practices and to determine whether preferences/rankings differ when parents disagree that their child is overweight. METHODS: We performed mixed-methods analysis of a 32-question survey of parents of 2- to 18-year-old overweight children assessing parental agreement that their child is overweight, the single most important thing providers can do to improve weight status, ranking American Academy of Pediatrics-recommended clinical practices, and preferred follow-up interval. Four independent reviewers analyzed open-response data to identify qualitative themes/subthemes. Multivariable analyses examined parental rankings, preferred follow-up interval, and differences by agreement with their child's overweight assessment. RESULTS: Thirty-six percent of 219 children were overweight, 42% obese, and 22% severely obese; 16% of parents disagreed with their child's overweight assessment. Qualitative analysis of the most important practice to help overweight children yielded 10 themes; unique to parents disagreeing with their children's overweight assessments was "change weight-status assessments." After adjustment, the 3 highest-ranked clinical practices included, "check for weight-related problems," "review growth chart," and "recommend general dietary changes" (all P < .01); parents disagreeing with their children's overweight assessments ranked "review growth chart" as less important and ranked "reducing screen time" and "general activity changes" as more important. The mean preferred weight-management follow-up interval (10-12 weeks) did not differ by agreement with children's overweight assessments. CONCLUSIONS: Parents prefer weight-management strategies that prioritize evaluating weight-related problems, growth-chart review, and regular follow-up. Parents who disagree that their child is overweight want changes in how overweight is assessed. Using parent-preferred weight-management strategies may prove useful in improving child weight status.

Tools for Successful Weight Management in Primary Care.

Obesity is one of the most pervasive and costly public health problems. Clinicians need effective tools to address weight management in primary care, including evaluation and communication methods, guideline-based weight management interventions and safe and effective weight loss medications and surgery. The objective of this Grand Rounds presentation is to provide practicing clinicians with the latest information regarding effective ways to care for and communicate with patients about weight loss; evidence-based guidelines for selecting weight management therapies and safety, efficacy and adverse effects of weight loss medications and surgery.

Health status, emotional/behavioral problems, health care use, and expenditures in overweight/obese US children/adolescents.

OBJECTIVE: To examine the association of overweight/obesity with health, health care utilization, and expenditures in a national sample of 10- to 17-year-old children and adolescents. METHODS: Secondary analysis of 2005 to 2009 Medical Expenditure Panel Survey data (n = 17,224). Outcome measures included suboptimal health, emotional/behavioral problems, health care utilization, and expenditures. RESULTS: Overweight and obese children and adolescents had greater risk of suboptimal health (adjusted risk ratio [ARR], 1.4 and 1.7; P < .01), use of prescriptions (ARR, both 1.1; P = .01), and emergency department visits (ARR, 1.2 and 1.1; P = .01); overweight children/adolescents had lower mean out-of-pocket expenditures (∼$100, P < .01); and obese children/adolescents had greater risk of emotional/behavioral problems (ARR, 1.2; P < .01) and specialist visits (ARR, 1.1; P = .01). The most common specialty referral among obese children/adolescents was psychiatry. Overweight and obesity were not associated with office visits or total expenditures. A greater proportions of children and adolescents with suboptimal health and emotional/behavioral problems had health care expenditures, and those with suboptimal health were more likely to have out-of-pocket expenditures. CONCLUSIONS: Pediatric overweight and obesity affect child and adolescent health status, emotional/behavioral problems, and specific domains of health care utilization, but do not appear to be associated with total health care expenditures. Out-of-pocket expenditures are lower among overweight children and adolescents. These findings highlight the need for early intervention in overweight children/adolescents, when health care expenditures may not be greater, and suggest that it may prove useful to pay special attention to the health status and emotional/behavioral problems of overweight and obese children/adolescents in weight-management interventions.

Do high-risk preschoolers or overweight mothers meet AAP-recommended behavioral goals for reducing obesity?

BACKGROUND: The American Academy of Pediatrics (AAP) has issued specific behavioral recommendations to prevent obesity. It is unclear how often high-risk preschoolers and overweight mothers meet recommended behavior goals and whether meeting these goals is negatively associated with overweight/obesity. OBJECTIVE: To describe the proportion of preschoolers and mothers that meet AAP-recommended behavior goals and examine the associations of meeting goals with weight-status, and mothers meeting goals and children meeting corresponding goals. METHODS: Secondary analysis of baseline data (before an intervention) from mother-preschooler dyads in a weight-control study. Mothers were overweight or obese. Preschoolers were 2-5 years old. Dietary and feeding practices were assessed by the use of questionnaires. Activity was measured directly using accelerometry. Outcomes included preschooler overweight and maternal obesity. RESULTS: The respective proportions of children and mothers that met behavior goals were: 17% and 13% for ≥5 fruits/vegetables/day, 46% and 33% for zero sugar-sweetened beverages/day, 41% and 13% for fast-food <1×/week, and 46% and 13% for screentime ≤2 hours/day. Moderate-to-vigorous physical activity did not exceed 60 minutes/day in any participant. A total of 49% ate family meals together 7×/week. For each additional goal met, the adjusted odds for preschooler overweight was 0.9 (95% confidence interval 0.8-1.1) and for maternal obesity, 0.8 (95% confidence interval 0.6-0.9). Preschoolers had significantly greater odds of meeting each goal when mothers met the corresponding goal. CONCLUSIONS: Few high-risk preschoolers or overweight mothers meet AAP-recommended behavior goals. Meeting a greater number of behavior goals may be particularly important for maternal weight. Preschoolers have greater odds of meeting behavior goals when mothers meet behavior goals.

Race and sex differences in small-molecule metabolites and metabolic hormones in overweight and obese adults.

In overweight/obese individuals, cardiometabolic risk factors differ by race and sex categories. Small-molecule metabolites and metabolic hormone levels might also differ across these categories and contribute to risk factor heterogeneity. To explore this possibility, we performed a cross-sectional analysis of fasting plasma levels of 69 small-molecule metabolites and 13 metabolic hormones in 500 overweight/obese adults who participated in the Weight Loss Maintenance trial. Principal-components analysis (PCA) was used for reduction of metabolite data. Race and sex-stratified comparisons of metabolite factors and metabolic hormones were performed. African Americans represented 37.4% of the study participants, and females 63.0%. Of thirteen metabolite factors identified, three differed by race and sex: levels of factor 3 (branched-chain amino acids and related metabolites, p<0.0001), factor 6 (long-chain acylcarnitines, p<0.01), and factor 2 (medium-chain dicarboxylated acylcarnitines, p<0.0001) were higher in males vs. females; factor 6 levels were higher in Caucasians vs. African Americans (p<0.0001). Significant differences were also observed in hormones regulating body weight homeostasis. Among overweight/obese adults, there are significant race and sex differences in small-molecule metabolites and metabolic hormones; these differences may contribute to risk factor heterogeneity across race and sex subgroups and should be considered in future investigations with circulating metabolites and metabolic hormones.