Catherine C. Cohen, Dana Dabelea, Madhumita Sinha, Alan M. Delamater, Deborah H. Glueck, Christine W. Hockett, Mary A. Hoskin, Spero Manson, Elizabeth Mayer-Davis, Phoutdavone Phimphasone-Brady, Jeffrey C. Powell, Dorota Wasak, Alexandra V. Stamatoiu, Rachel I. Steinberg, Katherine A. Sauder
{"title":"A Randomised Controlled Trial Testing a Behavioural Intervention Program for the Prevention of Type 2 Diabetes Among American Indian Youth: The Tribal Turning Point Study","authors":"Catherine C. Cohen, Dana Dabelea, Madhumita Sinha, Alan M. Delamater, Deborah H. Glueck, Christine W. Hockett, Mary A. Hoskin, Spero Manson, Elizabeth Mayer-Davis, Phoutdavone Phimphasone-Brady, Jeffrey C. Powell, Dorota Wasak, Alexandra V. Stamatoiu, Rachel I. Steinberg, Katherine A. Sauder","doi":"10.1111/ijpo.70053","DOIUrl":"10.1111/ijpo.70053","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>American Indian youth experience a high risk of overweight/obesity and type 2 diabetes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>To evaluate the effect of a behavioural intervention on diabetes risk factors among American Indian youth with overweight/obesity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Between 2018 and 2023, youth (7–10 years) were randomised to the tribal turning point (TTP) intervention (<i>n</i> = 87) or control arm (<i>n</i> = 95). Community coaches delivered the core intervention in the first 6 months (10 group classes, 4 individual sessions with motivational interviewing) followed by the booster intervention in the second 6 months (2 group classes, 3 individual sessions). The control arm received 4 health/safety classes over 12 months. Data were collected at baseline, 6, and 12 months. Co-primary outcomes were 12-month change in BMI and fasting insulin.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>There were no significant differences by randomization for either primary outcome at 12 months. Among youth who completed 6-month assessments before the COVID-19 pandemic, the TTP intervention, compared to the control arm, was associated with significantly decreased change values for age/sex-adjusted BMI z-scores (<i>p</i> = 0.028) and waist circumference (<i>p</i> = 0.040) at 6 months.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>In this trial among American Indian youth spanning the COVID-19 pandemic, the TTP intervention yielded short-term improvements on obesity measures but only in the subset who participated before the pandemic.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"20 12","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144937369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stephanie Tanasia Saputra, Andraea Van Hulst, Mélanie Henderson, Simone Brugiapaglia, Claudia Faustini, Lisa Kakinami
{"title":"Development and Application of Children's Sex- and Age-Specific Fat-Mass and Muscle-Mass Reference Curves From Dual-Energy X-Ray Absorptiometry Data for Predicting Cardiometabolic Risk","authors":"Stephanie Tanasia Saputra, Andraea Van Hulst, Mélanie Henderson, Simone Brugiapaglia, Claudia Faustini, Lisa Kakinami","doi":"10.1111/ijpo.70051","DOIUrl":"10.1111/ijpo.70051","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>A dual-energy x-ray absorptiometry (DXA)-derived phenotype classification based on fat mass and muscle mass has been developed for adults. We extended this to a paediatric population.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Children's (≤ 17 years) DXA data in NHANES (<i>n</i> = 6120) were used to generate sex- and age-specific deciles of appendicular skeletal muscle mass index and fat mass index with the Lambda Mu Sigma method. Four phenotypes (high [H] or low [L], adiposity [A] and muscle mass [M]: HA-HM, HA-LM, LA-HM, LA-LM) were identified based on being above/below the median compared to same-sex and same-age peers. These reference curves were applied to the QUALITY cohort (<i>n</i> = 630, 8–10 years of age in 2005) to assess whether the phenotypes correctly identified cardiometabolic risk at baseline, follow-up (2008–2010), and their longitudinal changes. Multiple linear regression models were adjusted for age, sex, and Tanner's stage.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Compared to the LA-HM reference group, the HA-HM phenotype was associated with less favourable HDL, triglycerides, and HOMA-IR at baseline and first follow-up, but not in their changes. The HA-LM phenotype was associated with less favourable HOMA-IR at baseline and first follow-up.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Results suggest that phenotypes based on fat and muscle mass may have clinical utility in children and should be further investigated.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"20 12","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.70051","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144937306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. F. Jackson, K. A. Meredith-Jones, J. J. Haszard, B. C. Galland, S. Morrison, M. Jaques, R. W. Taylor
{"title":"The Impact of Sleep Loss on Screen Time in Children: Secondary Analyses of a Randomised Crossover Trial Using Objective Measures of Screen Time","authors":"R. F. Jackson, K. A. Meredith-Jones, J. J. Haszard, B. C. Galland, S. Morrison, M. Jaques, R. W. Taylor","doi":"10.1111/ijpo.70050","DOIUrl":"10.1111/ijpo.70050","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>How reduced sleep impacts screen time in children is unclear.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>To explore how reduced sleep impacts objectively measured screen use.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>One hundred and five children (8–12 years) with caregiver-reported sleep of 8–11 h/night were randomised to 7 nights sleep extension (go to bed 1 h earlier) or sleep restriction (bed 1 h later) in a crossover trial with a 7-night washout between conditions. Sleep and time awake were measured using waist-worn accelerometry (ActiGraph wGT3X-BT) and screen time using wearable cameras (Brinno TLC130 Timelapse) and questionnaires. Camera images were coded as time spent on screens (raw data), including imputation for blocked images (Rules 1 and 2). Within-person differences (95% CI) were calculated in those with matched camera data across sleep intervention weeks, in minutes and as percentage of awake time.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Screen time before school or on weekends did not differ in the 49 children (10.4 years, 51% female, 41% overweight, 78% European) with suitable camera data. After school, children appeared to have similar screen time using raw data (median difference; 25th, 75th percentiles: 18.7 min; −10.2, 72.5), but greater screen time during sleep restriction compared with extension after allowance for blocked images (Rule 2: 66.3 min; 7.5, 102.9 or 6% of awake time; 0.5, 10.0). Parents (<i>n</i> = 98) reported greater total screen use in children during the sleep restriction week (mean difference; 95% CI: 16.8 min; 1.8, 31.8).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>In this secondary analysis, getting less sleep appeared to increase screen time in children during the weekday afternoon and evening hours, compared to when they received more sleep.</p>\u0000 \u0000 <p>\u0000 <b>Trial Registration:</b> ACTRN12618001671257 Australian New Zealand Clinical Trials Registry; ANZCTR.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"20 12","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.70050","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144937349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Emma Louise Gale, Joanne Elizabeth Cecil, Andrew James Williams
{"title":"Trajectory and Trend of Weight Status, Emotional Wellbeing and Sleep From Infancy to Childhood to Adolescence in Scotland: An Analysis of Growing up in Scotland Birth Cohort 1","authors":"Emma Louise Gale, Joanne Elizabeth Cecil, Andrew James Williams","doi":"10.1111/ijpo.70049","DOIUrl":"10.1111/ijpo.70049","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Childhood obesity interventions often overlook sleep and emotional wellbeing, though research shows both are associated with weight status across childhood. The timing of their co-development and the most effective point for intervention remain poorly understood. The aim of this study was to examine the trajectories of sleep, weight status and emotional wellbeing using the Growing Up in Scotland birth cohort 1 dataset.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This study conducted secondary data analyses from sweeps 1–10 (10 months-14 years). Sleep was assessed through main-carer and self-reports, covering duration, bedtime, fragmentation, insomnia symptoms and oversleeping. Weight status was evaluated using BMI percentiles from objective height and weight measurements. Emotional wellbeing was evaluated using the emotional symptoms subscale of the Strengths and Difficulties Questionnaire. Trajectories were categorised as stable, improving, or declining for wellbeing; stable, obesogenic or leptogenic for weight; and compared against age-specific recommendations for sleep.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Analyses from 4157 participants (50.2% male) showed that sleep duration declined with age, falling significantly below age-specific recommendations between 8 and 14 years. Bedtimes became later and more variable between 8 and 10 years, with insomnia symptoms and delayed sleep onset common by age 14. Obesogenic or fluctuating weight trajectories were observed in 51.2% of participants. Emotional wellbeing declined notably between 10 and 14 years.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Declines in sleep and emotional wellbeing coincided with rising obesity rates between ages 10 and 12. Targeted intervention between ages 8 and 10 years offers a critical opportunity to mitigate risks of obesity, poor sleep and declining emotional wellbeing before adolescence.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"20 11","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.70049","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144833569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Camille Le Gal, Mireille C. Schipper, Marion Lecorguillé, Laura Pavicic, Thierry Simeon, Marie-Aline Charles, Romy Gaillard, Sandrine Lioret, Barbara Heude
{"title":"Association Between Parental Social Position and Childhood Overweight: Mediation by Lifestyle and BMI Patterns During Pregnancy","authors":"Camille Le Gal, Mireille C. Schipper, Marion Lecorguillé, Laura Pavicic, Thierry Simeon, Marie-Aline Charles, Romy Gaillard, Sandrine Lioret, Barbara Heude","doi":"10.1111/ijpo.70047","DOIUrl":"10.1111/ijpo.70047","url":null,"abstract":"<p>In high-income countries, children born to parents with low socio-economic position (SEP) or with non-Western ethnicity are disproportionally affected by obesity as early as preschool age. We assessed how much of these associations were mediated by parental lifestyle and BMI patterns during pregnancy. We characterised 5–6 years old children with or without overweight from the French Etude Longitudinale Française depuis l'Enfance (ELFE) (<i>n</i> = 8584) and the Dutch Generation R birth cohorts (<i>n</i> = 6511). We used counterfactual mediation analyses to assess the potential mediating effect of previously identified lifestyle patterns: “high parental smoking, poor-quality maternal diet and sedentary behaviour” and “high parental body mass index and low gestational weight gain”. Both patterns jointly mediated 62.8% of the association between parents' education level and childhood overweight in ELFE and 23.2% in Generation R. In Generation R, they jointly mediated 8.9% of the association between parents' geographic origin and childhood overweight. In ELFE, parents with non-Western backgrounds were less likely to follow the first pattern, resulting in a negative indirect effect. Parental lifestyle and BMI patterns during pregnancy seem key contributors to the early development of socio-economic inequalities in childhood overweight, while other yet unidentified factors may contribute to inequalities related to geographic origin.</p>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"20 11","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.70047","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144787924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mika Jormanainen, Aino-Maija Eloranta, Marja H. Leppänen, Tomi Laitinen, Mika Kähönen, Emilia Laitinen, Timo A. Lakka, Eero A. Haapala
{"title":"Associations of Physical Activity and Dietary Fat Quality With Arterial Health in Adolescents","authors":"Mika Jormanainen, Aino-Maija Eloranta, Marja H. Leppänen, Tomi Laitinen, Mika Kähönen, Emilia Laitinen, Timo A. Lakka, Eero A. Haapala","doi":"10.1111/ijpo.70048","DOIUrl":"10.1111/ijpo.70048","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>While the clinical signs of cardiovascular diseases (CVDs) are not usually visible until adulthood, the CVD pathology begins already in childhood.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>To study the associations of physical activity (PA) and dietary fat quality with arterial health among adolescents.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Altogether 117 adolescents 15–17 years of age participated in the study. Sedentary time (ST), light PA, moderate-to-vigorous PA (MVPA), PA energy expenditure (PAEE), resistance training volume and dietary fat quality were assessed. Pulse wave velocity (PWV) and cardio-ankle vascular index (CAVI) were assessed by impedance cardiography, and carotid artery intima-media thickness (cIMT) and carotid artery distensibility were assessed by carotid ultrasonography.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>ST was negatively associated with cIMT (standardised regression coefficient <i>β</i> = −0.225, <i>p</i> = 0.015). MVPA and PAEE were negatively associated with PWV (<i>β</i> = −0.245 to −0.228, <i>p</i> < 0.05) and CAVI (<i>β</i> = −0.226 to −0.212, <i>p</i> < 0.05), and positively with cIMT (<i>β</i> = 0.235 to 0.269, <i>p</i> < 0.05). MVPA was positively associated with carotid artery distensibility (<i>β</i> = 0.180, <i>p</i> = 0.047). Monounsaturated fat intake was positively associated with carotid artery distensibility (<i>β</i> = 0.190, <i>p</i> = 0.041). PAEE was negatively associated with CAVI in adolescents with higher saturated fat (SFA) intake (<i>β</i> = −0.367, <i>p</i> = 0.017), but not in adolescents with lower SFA intake (<i>β</i> = −0.095, <i>p</i> = 0.526).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>MVPA and PAEE were related to better arterial health. Moreover, our results suggest that higher PAEE benefits adolescents with higher SFA intake.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"20 11","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.70048","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144783114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Armando Peña, Micah L. Olson, Mary Beth Putz, Abu Bakkar Siddique, Elvia Lish, Monica Diaz, Stephanie L. Ayers, J. Mac McCullough, Allison Williams, Donald L. Patrick, Gabriel Q. Shaibi
{"title":"Cost-Effectiveness Analysis of an Intensive Lifestyle Intervention Versus Usual Care for Latino Youth With Prediabetes","authors":"Armando Peña, Micah L. Olson, Mary Beth Putz, Abu Bakkar Siddique, Elvia Lish, Monica Diaz, Stephanie L. Ayers, J. Mac McCullough, Allison Williams, Donald L. Patrick, Gabriel Q. Shaibi","doi":"10.1111/ijpo.70046","DOIUrl":"10.1111/ijpo.70046","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>Lifestyle intervention is a cost-effective approach for preventing type 2 diabetes among adults with prediabetes. The purpose of this study was to examine the cost and incremental cost-effectiveness ratio (ICER) of an intensive lifestyle intervention compared with usual care among youth with prediabetes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Latino youth ages 12–16 years with obesity and prediabetes were randomised to a 6-month lifestyle intervention (INT, <i>N</i> = 79) or usual care (UC, <i>N</i> = 38). Between-group difference in change in 2-h post-challenge glucose was non-significant at 6 months (7.2 mg/dL; 95% CI, −5.3, 19.7) and 12 months (0.3 mg/dL; 95% CI, −14.1, 14.5). Cost and ICERs were calculated from health care, family and total societal (health care plus family) perspectives in 2019 US Dollars. The study was conducted from May 2016 to March 2020.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The estimated societal cost per participant was $1935.21 (95% CI, $1583.12, $2315.05) for the INT and $234.20 ($190.71, $278.61) for the UC during the first 6 months. During the entire 12 months of the trial, the societal cost per participant increased to $468.40 ($379.19, $568.37) for the UC, but there were no additional costs for the INT. The ICER for 2-h glucose for the INT compared with the UC was $222.78 and $4816.57 per mg/dL at 6 and 12 months.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Among Latino youth with prediabetes, an intensive lifestyle intervention resulted in a nonsignificant reduction in 2-h glucose at a higher cost compared with usual care.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"20 11","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.70046","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144751866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cynthia L. Ogden, Samuel D. Emmerich, Bryan Stierman, Te-Ching Chen, Alan E. Simon, David S. Freedman, Matt Jans, Cheryl D. Fryar, Jason Clark, Minsun Riddles, Lara J. Akinbami
{"title":"Obesity Among Children and Adolescents in NHANES August 2021–August 2023: An Examination of Race/Hispanic Origin Subgroup Estimates","authors":"Cynthia L. Ogden, Samuel D. Emmerich, Bryan Stierman, Te-Ching Chen, Alan E. Simon, David S. Freedman, Matt Jans, Cheryl D. Fryar, Jason Clark, Minsun Riddles, Lara J. Akinbami","doi":"10.1111/ijpo.70041","DOIUrl":"https://doi.org/10.1111/ijpo.70041","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>The National Health and Nutrition Examination Survey provides nationally representative data on child obesity using measured height and weight. Due to COVID-19, the NHANES August 2021–August 2023 cycle had design changes and smaller sample sizes for certain race/Hispanic origin groups. The objective is to explore sex and race/Hispanic origin-specific childhood obesity trends.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Trends from 1999 or 2007 to August 2023 were evaluated in regression models. Obesity was defined as BMI-for-age ≥ 95th percentile.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Analyses included 28 666 youth 2–19 years. From 2007 to August 2023, obesity prevalence increased among Hispanic girls (<i>p</i> = 0.03) but not Hispanic boys (<i>p</i> = 0.06). From 1999 to August 2023, obesity increased among non-Hispanic White (White) boys (<i>p</i> = 0.02) and non-Hispanic Black (Black) girls (<i>p</i> = 0.04), but not White girls (<i>p</i> = 0.10). Among Black boys only, a quadratic trend (<i>p</i> = 0.03) was found, driven by an obesity increase between 2017–2018 and August 2021–August 2023, from 19.4% to 38.1% (<i>p</i> < 0.01).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Obesity increased among Hispanic girls, White boys, and Black girls. The prevalence increased in Black boys too, but the magnitude of increase from 2017 to August 2023 appears implausible. Small August 2021–August 2023 sample sizes for Black youth could have exacerbated unmeasured sampling variation. Continued surveillance will provide context for interpreting estimates.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"20 10","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145013250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gail Woodward-Lopez, Alexander C. McLain, Edward A. Frongillo, Natalie Colabianchi, Vicki Collie-Akers, Lorrene D. Ritchie
{"title":"Community and School Programs, Policies and Environments Related to Child Dietary Intake:The Healthy Communities Study","authors":"Gail Woodward-Lopez, Alexander C. McLain, Edward A. Frongillo, Natalie Colabianchi, Vicki Collie-Akers, Lorrene D. Ritchie","doi":"10.1111/ijpo.70043","DOIUrl":"10.1111/ijpo.70043","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>To reverse the epidemic of unhealthy eating and related chronic disease in the United States, intervening early in life is essential.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>Identify features of community- and school-based programmes, policies and environments related to child intake of fruits and vegetables (FV) and sugar-sweetened beverages (SSB).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Dietary intake of children 4–15 years old (<i>n</i> = 5138) from elementary and middle schools in 130 US communities was collected by survey (of parent and/or child) in 2013–2015. Features of community programs and policies (CPPs) and school environments were collected by staff surveys, direct observation, key informant interviews, and/or document review. Community characteristics included socioeconomic status and predominant race/ethnicity. Classification and regression trees identified CPP and school environment features related to child dietary intake.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Community sociodemographic characteristics were the first-selected variables related to child intakes. Children in communities with lower socioeconomic status and larger proportions of African Americans tended to have lower FV and higher SSB intakes. Associations of dietary intake with race/ethnicity varied with SES. CPPs that addressed certain social determinants of health were related to higher FV intake among community race/ethnicity–SES sub-groups. Few other CPPs and no school environment characteristics were related to child FV or SSB intake.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Findings suggest the importance of addressing social determinants of health such as education, poverty and transportation to reduce disparities in dietary intake, and the need to tailor interventions to community characteristics. More research is needed to explore the interaction of race/ethnicity and SES on dietary intake and intervention effectiveness.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"20 11","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.70043","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144688418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zachary Ballinger, Jonathan Green, Muriel Cleary, Kaitlyn Wong, Nicole Cherng, Jeremy Aidlen
{"title":"Racial Disparities in Paediatric Metabolic and Bariatric Surgery: An MBSAQIP Analysis","authors":"Zachary Ballinger, Jonathan Green, Muriel Cleary, Kaitlyn Wong, Nicole Cherng, Jeremy Aidlen","doi":"10.1111/ijpo.70045","DOIUrl":"10.1111/ijpo.70045","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>To evaluate disparities in paediatric metabolic and bariatric surgery (MBS) and examine the effects of recent policy changes on access and outcomes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Study Design</h3>\u0000 \u0000 <p>Adolescents aged 10–18 who underwent MBS between 2017 and 2023 were identified using the Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP) Participant Use Files. Trends by race and ethnicity and clinical outcomes were assessed using univariate comparisons and multivariable logistic regression.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>A total of 4940 paediatric patients underwent MBS from 2017 to 2023. The cohort was 71% female, 60% white, and had a mean age of 17.1 years. Female representation declined by approximately 1.1% annually. Hispanic patients comprised 32% of cases, with an average yearly increase of 1.1%. Black patient representation increased from 14% in 2017 to 24% in 2023. Asian, American Indian, and Pacific Islander patients accounted for only 1.5% of cases. Black patients were younger, had higher preoperative BMIs, and more frequently presented with comorbidities including diabetes and sleep apnoea. Hispanic patients had higher rates of hypertension, hyperlipidemia, and sleep apnoea than non-Hispanics. Robotic procedures were more common among Black patients, while Roux-en-Y gastric bypass was more frequent among white patients. Surgical outcomes were similar across racial groups. However, multivariable analysis showed that female patients had increased odds of postoperative complications and emergency department (ED) visits (aOR 1.54 and 2.74, respectively), and Hispanic patients had higher odds of ED visits (aOR 1.32).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>While MBS use is diversifying, disparities persist. Black and Hispanic youth face higher comorbidity burdens, indicating possible delayed access to surgery.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"20 11","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144681763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}