Childhood Obesity最新文献

Background: Adverse social determinants of health (SDoHs), specifically psychosocial stressors and material hardships, are associated with early childhood obesity. Less is known about whether adverse SDoHs modify the efficacy of early childhood obesity prevention programs. Methods: We conducted a secondary analysis of publicly insured birthing parent-child dyads with Latino backgrounds participating in a randomized controlled trial of the Starting Early Program (StEP), a child obesity prevention program beginning in pregnancy. We measured baseline adverse SDoHs categorized as psychosocial stressors (low social support, single marital status, and maternal depressive symptoms) and material hardships (food insecurity, housing disrepair, and financial difficulties) individually and cumulatively in the third trimester. Logistic regression models tested effects of adverse SDoHs on StEP attendance. We then tested whether adverse SDoHs moderated intervention impacts on weight at age 2 years. Results: We observed heterogeneous effects of adverse SDoHs on outcomes in 358 parent-child dyads. While housing disrepair decreased odds of higher attendance [adjusted odds ratio (aOR) 0.52, 95% confidence interval (CI): 0.29-0.94], high levels of psychosocial stressors doubled odds of higher attendance (aOR 2.36, 95% CI: 1.04-5.34). Similarly, while certain adverse SDoHs diminished StEP impact on weight (e.g., housing disrepair), others (e.g., high psychosocial stress) enhanced StEP impact on weight. Conclusions: Effects of adverse SDoHs on intervention outcomes depend on the specific adverse SDoH. Highest engagement and benefit occurred in those with high psychosocial stress at baseline, suggesting that StEP components may mitigate aspects of psychosocial stressors. Findings also support integration of adverse SDoH assessment into strategies to enhance obesity prevention impacts on families with material hardships. Trial Registration: This study is registered on clinicaltrials.gov: Starting Early Obesity Prevention Program (NCT01541761); https://clinicaltrials.gov/ct2/show/NCT01541761.

Introduction: Children with obesity suffer excess dyspnea that contributes to sedentariness. Developing innovative strategies to increase exercise tolerance and participation in children with obesity is a high priority. Because inspiratory training (IT) has reduced dyspnea, we sought to assess IT in children with obesity. Methods: We conducted a 6-week randomized IT trial involving 8- to 17-year-olds with obesity. Participants were randomized 1:1 to either high [75% of maximal inspiratory pressure (MIP)] or low resistance control (15% of MIP) three times weekly. Assessments included adherence, patient satisfaction, and changes in inspiratory strength and endurance, dyspnea scores and total activity level. Results: Among 27 randomized, 24 (89%) completed the intervention. Total session adherence was 72% which did not differ between treatment groups. IT was safe, and more than 90% felt IT benefitted breathing and general health. IT led to a mean improvement (95% CI) in inspiratory strength measured by MIP of 10.0 cm H₂O (-3.5, 23.6; paired t-test, p = 0.139) and inspiratory endurance of 8.9 (1.0, 16.8; paired t-test, p = 0.028); however, there was no significant difference between high- and low-treatment groups. IT led to significant reductions in dyspnea with daily activity (p < 0.001) and in prospectively reported dyspnea during exercise (p = 0.024). Among the high- versus low-treatment group, we noted a trend for reduced dyspnea with daily activity (p = 0.071) and increased daily steps (865 vs. -51, p = 0.079). Discussion: IT is safe and feasible for children with obesity and holds promise for reducing dyspnea and improving healthy activity in children with obesity. Breathe-Fit trial NCT05412134.

Background: This study describes experiences and perspectives of pediatric weight management (PWM) providers on the implementation of genetic testing for rare causes of obesity. Methods: Purposive and snowball sampling recruited PWM providers via email to complete a 23-question survey with multiple choice and open-ended questions. Analyses include descriptive statistics, Fisher's exact test, one-way ANOVA with Tukey's post hoc test, and qualitative analysis. Results: Of the 55 respondents, 80% reported ordering genetic testing. Respondents were primarily physicians (82.8%) in practice for 11-20 years (42%), identified as female (80%), White (76.4%), and non-Hispanic (92.7%) and provided PWM care 1-4 half day sessions per week. Frequently reported patient characteristics that prompted testing did not vary by provider years of experience (YOE). These included obesity onset before age 6, hyperphagia, dysmorphic facies, and developmental delays. The number of patient characteristics that prompted testing varied by YOE (p = 0.03); respondents with 6-10 YOE indicated more patient characteristics than respondents with >20 YOE (mean 10.3 vs. mean 6.2). The reported primary benefit of testing was health information for patients/families; the primary drawback was the high number of indeterminate tests. Ethical concerns expressed were fear of increasing weight stigma, discrimination, and impact on insurance coverage. Respondents (42%) desired training and guidance on interpreting results and counseling patients and families. Conclusions: Most PWM providers reported genetic testing as an option for patient management. Provider training in genetics/genomics and research into provider and family attitudes on the genetics of obesity and the value of genetic testing are next steps to consider.

Background: Primary care providers (PCPs) are expected to provide weight management counseling despite having low confidence in their ability to be effective. This analysis examined change in weight status between children who received usual care from their PCP and those who received one of two structured weight management programs in a randomized control trial. Methods: Data from parent-child dyads who were referred to the Guided Self-Help Obesity Treatment in the Doctor's Office study, but did not participate, were examined to determine change in weight status compared with those who participated in the trial. Families were divided into four groups: Group 1, structured treatment with high attendance; Group 2, structured treatment with low attendance; Group 3, PCP/usual care with some weight management counseling; and Group 4, PCP/usual care with no counseling. Anthropometric data and PCP delivery of weight management counseling were abstracted from the electronic health record. Main outcomes were changes in child BMI z-scores, BMI as a percentage relative to the 95th percentile, and BMI as a difference relative to the 95th percentile at the end of treatment and 6-month follow-up for each group. Results: Groups 1 and 2 showed significant decreases in weight status over time, with Group 1 showing the greatest decrease. Groups 3 and 4 remained relatively stable. Changes in weight status in Groups 2, 3, and 4 were significantly different from Group 1 at post-treatment. Conclusions: While structured weight management programs have a significant impact on weight status, those who received some counseling by their PCP did not show significant increases in weight status and were relatively weight stable. Efforts should be broadened to support PCPs as they provide weight management counseling in the office.

Background: The built environment can impact health outcomes. Our purpose was to examine relationships between built environment variables related to physical activity and excess weight in preschoolers. Methods: In this retrospective, population-level study of 4- to 6-year-olds, anthropometric measurements were taken between 2009 and 2017 in Calgary and Edmonton, Alberta, Canada. Based on BMI z-scores (BMIz), children were classified as normal weight (-2 ≤ BMIz <1) or excess weight (BMIz ≥1; overweight and obesity). Physical activity-related built environment variables were calculated (distances to nearest playground, major park, school; street intersection density; number of playgrounds and major parks within an 800 m buffer zone). Binomial logistic regression models estimated associations between physical activity-related built environment variables and excess weight. Results: Our analysis included 140,368 participants (females: n = 69,454; Calgary: n = 84,101). For Calgary, adjusted odds ratios (aORs) showed the odds of excess weight increased 1% for every 100-intersection increase [1.010 (1.006-1.015); p < 0.0001] and 13.6% when there were ≥4 playgrounds (vs. 0 or 1) within an 800 m buffer zone [1.136 (1.037-1.243); p = 0.0059]. For Edmonton, aORs revealed lower odds of excess weight for every 100 m increase in distances between residences to nearest major park [0.991 (0.986-0.996); p = 0.0005] and school [0.992 (0.990-0.995); p < 0.0001]. The odds of excess weight decreased as the number of major parks within the 800 m buffer zone increased from 0 to 1 [0.943 (0.896-0.992); p = 0.023] and from 0 to ≥3 [0.879 (0.773-0.999); p = 0.048]. Conclusion: The physical activity-related built environment was associated with excess weight in preschoolers, although relationships varied between cities that differed demographically and geographically.

Background: Previous research has identified food insecurity as a risk factor for obesity but those studies employed cross-sectional designs and were largely focused on adults and young children. In addition, there is a paucity of studies examining the association between food insecurity and changes in children's overall diet quality. This study aimed to assess whether food insecurity is associated with subsequent changes in diet quality and BMI z-scores over 2 years among 7- to 12-year-old children. Methods: We used 2011-2019 secondary data (n = 404) from three randomized controlled trials in Minnesota. Food insecurity was identified using the U.S. Household Food Security Survey Module at baseline (Time 0). Diet quality was determined using the Healthy Eating Index (HEI)-2015 from 24-hour recalls, and BMI z-scores were calculated using measured height and weight. These two outcomes were measured at Time 0, Time 1 (10-12 months from Time 0), and Time 2 (15-24 months from Time 0). Results: Compared with children from food-secure households, those from food-insecure households experienced a 0.13 greater increase in BMI z-scores from Time 0 to Time 2 [95% confidence interval (CI): 0.04 to 0.21] and a 4.5 point increase in HEI-2015 from Time 0 to Time 1 (95% CI: 0.99 to 8.01). Conclusion: Household food insecurity may widen weight disparities among elementary school-aged children. Further studies are needed to identify the role of diet quality in weight changes among children with food insecurity. Clinical Trial Registration Number: NCT01538615, NCT02029976, NCT02973815.

Background: Early-life factors such as preterm birth or very low birthweight (VLBW) are associated with increased cardiovascular disease risk. However, it remains unknown whether this is due to an increased risk of obesity (unhealthy central adiposity) because studies have predominantly defined obesity based on BMI, an imprecise adiposity measure. Objective: Investigate if adolescents born preterm with VLBW have a higher risk of unhealthy central adiposity compared to term-born peers. Study Design: Cross-sectional analysis of data from a prospective cohort study of 177 individuals born preterm with VLBW (<1500 g) and 51 term-born peers (birthweight ≥2500 g). Individuals with congenital anomalies, genetic syndromes, or major health conditions were excluded. Height, weight, waist circumference, skin fold thickness, and dual energy X-ray absorptiometry body composition were measured at age 14 years. We calculated BMI percentiles and defined overweight/obesity as BMI ≥85th percentile for age and sex. We estimated the preterm-term differences in overweight/obesity prevalence and adiposity distribution with multivariable generalized linear models. Results: There was no difference in small for gestational age status or overweight/obesity prevalence. Compared to term, youth born preterm with VLBW had lower BMI z-score [β -0.38, 95% confidence limits (CL) -0.75 to -0.02] but no differences in adiposity apart from subscapular-to-triceps ratio (STR; β 0.18, 95% CL 0.08 to 0.28). Conclusions: Adolescents born preterm with VLBW had smaller body size than their term-born peers and had no differences in central adiposity except greater STR.

Background: Prediabetes among adolescents is on the rise, yet it is unclear if modifiable risk factors vary by prediabetes status. Methods: This study examined associations between diet (primary objective) and physical activity (secondary objective) by prediabetes status among U.S. adolescents (12-19 years) who participated in the National Health and Nutrition Examination Survey from 2007-2018. Differences in Healthy Eating Index (HEI)-2015-2020 scores (total and 13 component scores), nutrients of public health concern, and physical activity were examined by prediabetes status (no prediabetes vs. prediabetes). Results: Adolescents (n = 2,487) with prediabetes had significantly lower whole grains component scores and intakes of vitamin D, phosphorus, and potassium (all p < .05), than adolescents without prediabetes. Physical activity levels were not optimal for either group, there were no differences by prediabetes status (n = 2,188). Conclusion: Diabetes prevention interventions for adolescents are needed and should promote a healthy diet target and encourage physical activity.