Pediatric Obesity最新文献

{"title":"Interaction between breastfeeding duration and an obesity genetic risk score to predict body fat composition in European adolescents: The HELENA study","authors":"Georgios K. Baxevanis,&nbsp;Iris Iglesia,&nbsp;Miguel Seral-Cortes,&nbsp;Sergio Sabroso-Lasa,&nbsp;Paloma Flores-Barrantes,&nbsp;Frédéric Gottrand,&nbsp;Aline Meirhaeghe,&nbsp;Anthony Kafatos,&nbsp;Kurt Widhalm,&nbsp;Nele Hockamp,&nbsp;Dénes Molnár,&nbsp;Ascensión Marcos,&nbsp;Esther Nova,&nbsp;Marcela González-Gross,&nbsp;Eva Gesteiro,&nbsp;Ángel Gutiérrez,&nbsp;Yannis Manios,&nbsp;Costas A. Anastasiou,&nbsp;Gerardo Rodríguez,&nbsp;Luis A. Moreno,&nbsp;the HELENA Study Group","doi":"10.1111/ijpo.13205","DOIUrl":"10.1111/ijpo.13205","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Although the genetic interplay with the environment has a major impact on obesity development, little is known on whether breastfeeding could modulate the genetic predisposition to obesity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>To investigate whether breastfeeding attenuates the effect of an obesity genetic risk score (GRS) on adiposity in European adolescents.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Totally 751 adolescents from the Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) cross-sectional study were included, divided according to breastfeeding status into never breastfed, 1–3 months and ≥4 months. Adjusting by socioeconomic status and lifestyle factors multiple linear regression models were used to assess (1) the main effect of breastfeeding duration and (2) its interaction effect with an obesity GRS, to predict different adiposity measures.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>A significant negative association between ≥4 months of breastfeeding and waist circumference (WC) z-score was observed [β (95% confidence interval), <i>p</i>-value] = [β = −0.189 (−0.37, −0.00), <i>p</i> = 0.044]. Also, significant interaction effects were observed for 1–3 and ≥4 months of breastfeeding and obesity GRS regarding body mass index (BMI) z-score [β = 0.155 (0.06, 0.24), <i>p</i> = 0.001] and [β = 0.108 (0.01, 0.18), <i>p</i> = 0.020, respectively] and fat mass index (FMI) z-score [β = 0.134 (0.04, 0.22), <i>p</i> = 0.003] and [β = 0.100 (0.01, 0.18), <i>p</i> = 0.026, respectively].</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Breastfeeding modulates the association between the obesity GRS and body composition in adolescents.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"20 3","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.13205","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142997128","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}

{"title":"Effect of a physical activity and healthy eating lifestyle intervention in pregnancy on fetal growth trajectories: The DALI randomised controlled trial","authors":"Anna M. Dieberger,&nbsp;Mireille N. M. van Poppel,&nbsp;Gernot Desoye,&nbsp;David Simmons,&nbsp;Jürgen Harreiter,&nbsp;Roland Devlieger,&nbsp;Carmen Medina,&nbsp;Deborah A. Lawlor,&nbsp;Ahmed Elhakeem,&nbsp;the DALI core investigator group","doi":"10.1111/ijpo.13199","DOIUrl":"10.1111/ijpo.13199","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Obesity during pregnancy is related to fetal overgrowth. Effective interventions that can mitigate this risk are needed.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>This study aimed to investigate the effect of a lifestyle intervention for pregnant women with obesity on fetal growth trajectories.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>In the DALI trial, pregnant women with a body mass index ≥29.0 kg/m² and without gestational diabetes at baseline were randomized to counselling on physical activity (PA), healthy eating (HE) or a combination (PA + HE), or to usual care (UC). Fetal growth trajectories were modelled based on a combination of estimated fetal weight (EFW) from repeated ultrasound scans and weight measured at birth. Differences in fetal growth trajectories between groups were assessed.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Three hundred eighty-four women were included. Those in the PA + HE intervention had slower EFW gain from 32 weeks onwards, with differences (PA + HE vs. UC) at 32, 36 and 40 weeks of −54.1 g (−146.7 to 38.9 g), −84.9 g (−194.0 to 24.7 g), and −99.8 g (−227.1 to 28.1 g), respectively. Effects appeared stronger in males, with a difference at 40 weeks of −185.8 g (−362.5 g to −9.2 g) versus −23.4 g (−190.4 g to 143.5 g) in females.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>A lifestyle intervention for pregnant women with obesity resulted in attenuated fetal growth, which only reached significance in male offspring. Future larger trials are needed to confirm these findings and elucidate underlying pathways.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"20 5","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.13199","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142997124","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}

{"title":"Long-term follow-up of the impact of brief sleep and lifestyle interventions in infancy on BMI z-score at 11 years of age: The POI randomized controlled trial","authors":"Rachael W. Taylor,&nbsp;Barbara C. Galland,&nbsp;Anne-Louise M. Heath,&nbsp;Andrew R. Gray,&nbsp;Kim A. Meredith-Jones,&nbsp;Sarah A. Fortune,&nbsp;Trudy A. Sullivan,&nbsp;Taiwo Adebowale,&nbsp;Deborah McIntosh,&nbsp;Rosie F. Jackson,&nbsp;Barry J. Taylor","doi":"10.1111/ijpo.13204","DOIUrl":"10.1111/ijpo.13204","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>To determine whether BMI differences observed at 5 years of age, from early intervention in infancy, remained apparent at 11 years.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Participants (<i>n</i> = 734) from the original randomized controlled trial (<i>n</i> = 802) underwent measures of body mass index (BMI), body composition (DXA), sleep and physical activity (24-h accelerometry, questionnaire), diet (repeated 24-h recalls), screen time (daily diaries), wellbeing (CHU-9D, WHO-5), and family functioning (McMaster FAD) around their 11th birthday. Following multiple imputation, regression models explored the effects of two interventions (‘Sleep’ vs. ‘Food, Activity and Breastfeeding’ [FAB]) using a 2 × 2 factorial design.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Five hundred twelve children (48% female, mean [SD] age 11.1 [0.1] years) returned for the 11-year assessment (63% of original sample). Significant differences in BMI <i>z</i>-score (mean difference; 95% CI: −0.16; −0.41, 0.08) or the risk of overweight (including obesity) (odds ratio; 95% CI: 0.85; 0.56, 1.29) were no longer observed between children who had received the sleep intervention compared with those who had not. By contrast, children who had received the FAB intervention had greater BMI <i>z</i>-scores (0.24; 0.01, 0.47) and a higher risk of obesity (1.56; 1.03, 2.36) than children not enrolled in FAB. No significant differences were observed in any lifestyle variables nor wellbeing measures across all groups.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Sustained reductions in BMI and obesity risk from an early sleep intervention were not apparent 9 years later, whereas a more traditional lifestyle intervention resulted in increased rates of obesity, not explained by any differences in lifestyle behaviours measured.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Clinical Trial Registry</h3>\u0000 \u0000 <p>ClinicalTrials.gov number NCT00892983, https://clinicaltrials.gov/study/NCT00892983.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"20 3","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142997131","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}

{"title":"Effectiveness of behavioural and psychological interventions for managing obesity in children and adolescents: A systematic review and meta-analysis framed using minimal important difference estimates based on GRADE guidance to inform a clinical practice guideline","authors":"M. Henderson,&nbsp;S. A. Moore,&nbsp;S. Harnois-Leblanc,&nbsp;B. C. Johnston,&nbsp;D. Fitzpatrick-Lewis,&nbsp;A. M. Usman,&nbsp;D. Sherifali,&nbsp;R. Merdad,&nbsp;A. M. Rigsby,&nbsp;Z. Esmaeilinezhad,&nbsp;K. M. Morrison,&nbsp;J. Hamilton,&nbsp;G. D. C. Ball,&nbsp;C. S. Birken,&nbsp;the Steering Committee for Updating Canada's Clinical Practice Guideline for Managing Pediatric Obesity","doi":"10.1111/ijpo.13193","DOIUrl":"10.1111/ijpo.13193","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>Conduct a systematic review and meta-analysis of randomized controlled trials (RCTs) of behavioural and psychological interventions for managing paediatric obesity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Eligible studies, published between 1985 and 2022, included 0 to 18 year olds with outcomes reported ≥3 months post-baseline, including patient-reported outcome measures (PROMs), cardiometabolic and anthropometric outcomes, and adverse events (AEs). We pooled data using a random effects model and assessed certainty of evidence (CoE) related to minimally important difference estimates for outcomes using GRADE.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We included 73 unique RCTs (<i>n</i> = 6305 participants, 53% female). Intervention types included physical activity (<i>n</i> = 1437), nutrition (<i>n</i> = 447), psychological (<i>n</i> = 1336), technology-based (<i>n</i> = 901) or multicomponent (≥2 intervention types, <i>n</i> = 2184). Physical activity had a small effect on health-related quality of life (HRQoL), varying effects ranging from moderate to very large on blood pressure, lipids and insulin resistance, and a small effect on BMIz. Nutrition had a small effect on lipids, insulin resistance and BMIz. Psychological interventions showed a small effect on HRQoL and triglycerides and moderate benefits on depressive symptoms, while technology interventions showed small benefits on blood pressure and BMIz. Multicomponent interventions had a large benefit on anxiety, small benefit on depressive symptoms, with large to very large benefits on lipids, and small benefits for diastolic blood pressure, insulin resistance and BMIz. AEs were reported infrequently, and when reported, were described as mild.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Physical activity and multicomponent interventions showed improvements in PROMs, cardiometabolic and anthropometric outcomes. Future trials should consistently measure PROMs, evaluate outcomes beyond the intervention period, and study children &lt;6 years of age.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"20 3","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.13193","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142997126","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}

{"title":"Association between body mass index at birth and neonatal health outcomes in preterm infants: A retrospective analysis","authors":"Chuntian Liu,&nbsp;Yijia Chen,&nbsp;Mengqing Pan,&nbsp;Xiaoyu Lu,&nbsp;Jianhong Xu,&nbsp;Xiaochun Chen","doi":"10.1111/ijpo.13203","DOIUrl":"10.1111/ijpo.13203","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Studies on how birth body mass index (BMI) affects health outcomes in preterm infants are relatively limited.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>To analyze the association between BMI at birth and neonatal health outcomes in extremely low and very low birth weight preterm infants in China.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Used data from the Chinese Premature Infant Informatization Platform (2022–2023). Preterm infants were categorized based on their birth BMI z-scores into three groups: low BMI group (&lt; −2), normal BMI group (−2 to 2) and high BMI group (&gt;2). The relationship between BMI and neonatal health outcomes was then analyzed.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The final analysis included 1662 extremely low and very low birth weight preterm infants. The results indicated that low BMI was significantly associated with an increased risk of respiratory distress syndrome (RDS) (AOR 1.61, 95% CI 1.31–2.30), bronchopulmonary dysplasia (BPD) (AOR 1.34, 95% CI 1.00–1.80) and necrotizing enterocolitis (NEC) (AOR 1.57, 95% CI 1.01–2.42). High BMI was significantly associated with an increased risk of RDS (AOR 1.60, 95% CI 1.05–2.45).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>BMI at birth is significantly associated with the risks of RDS, BPD and NEC in ELBW and VLBW, highlighting the importance of monitoring BMI as an additional risk predictor in a population of neonates already at high risk for adverse outcomes.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"20 3","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142982090","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}

{"title":"Prenatal exposure to particulates and anthropometry through 9 years of age in a birth cohort","authors":"Ian R. Trees,&nbsp;Abhisek Saha,&nbsp;Diane L. Putnick,&nbsp;Priscilla K. Clayton,&nbsp;Pauline Mendola,&nbsp;Rajeshwari Sundaram,&nbsp;Edwina H. Yeung","doi":"10.1111/ijpo.13202","DOIUrl":"10.1111/ijpo.13202","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Previous research observed links between prenatal air pollution and risk of childhood obesity but the timing of the exposure is understudied. Aim: We examined prenatal particulate matter (PM₁₀, PM_2.5) exposure and child anthropometry.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Materials &amp; Methods</h3>\u0000 \u0000 <p>Children's body mass index <i>z</i>-scores (zBMI) at 0–3 (<i>N</i> = 4370) and 7–9 (<i>n</i> = 1191) years were derived from reported anthropometry at paediatric visits. We ran linear mixed models for six windows, adjusting for maternal, child, and neighbourhood factors.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>PM₁₀ exposure across pregnancy and at multiple windows was associated with higher zBMI in both early and middle childhood. For instance, one interquartile range increase in PM₁₀ exposure during the first 2 weeks of pregnancy was associated with higher zBMI at 0–3 (0.05, 95% CI: 0.01, 0.10) and 7–9 (0.14, 95% CI: 0.02, 0.23). PM_2.5 exposure during the final 2 weeks of gestation was associated with higher zBMI at 7–9 years (B: 0.12, 95% CI: 0.04, 0.22).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Even at low levels of air pollution, prenatal PM₁₀ exposure was associated with higher zBMI in childhood.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"20 3","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.13202","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142941922","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}

{"title":"Associations between parent and adolescent weight outcomes within two parent approaches to family-based adolescent obesity treatment: Secondary analyses from the TEENS+ pilot trial","authors":"Kristina L. Tatum,&nbsp;Katlyn Garr,&nbsp;Elizabeth L. Adams,&nbsp;Laura J. Caccavale,&nbsp;Edmond P. Wickham III,&nbsp;Jessica Gokee LaRose,&nbsp;Suzanne E. Mazzeo,&nbsp;Hollie A. Raynor,&nbsp;Melanie K. Bean","doi":"10.1111/ijpo.13198","DOIUrl":"10.1111/ijpo.13198","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>To examine associations between parent and adolescent weight change within two parent approaches to adolescent obesity treatment.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Adolescent (<i>M</i>_age = 13.7 ± 1.2 years; <i>M</i>_BMI = 34.9 ± 7.0 kg/m²) and parent (<i>M</i>_BMI = 36.4 ± 7.3 kg/m²) dyads (<i>N</i> = 82) were randomized to TEENS+Parents as Coaches (PAC) or TEENS+parent weight loss (PWL). Anthropometrics were assessed at baseline (0-month), 4 months (post) and 7 months (after 3-month maintenance period). Regression analyses examined associations between parent and adolescent ΔBMI_0-4m and ΔBMI_4-7m, with parent group as a moderator.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Post-treatment, parent and adolescent ∆BMI_0-4m were positively related (<i>β</i> = 0.68, <i>p</i> &lt; 0.001), with no group interaction. Parent and adolescent ΔBMI_4-7m were related (<i>β</i> = 0.48, <i>p</i> = 0.012) during maintenance, moderated by parent group (<i>β</i> = −0.49, <i>p</i> = 0.010): positive relationships persisted in PAC (<i>β</i> = 0.39, <i>p</i> = 0.011), but not PWL (<i>β</i> = −0.19, <i>p</i> = 0.211).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Discussion</h3>\u0000 \u0000 <p>Parent and adolescent weight changes were positively related during treatment in both parent groups. During maintenance, weight change associations persisted only in PAC. These patterns prompt further exploration of parent factors driving weight change relationships.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"20 3","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.13198","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142941918","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}

{"title":"The long-term effects of a school-based intervention on preventing childhood overweight: Propensity score matching analysis within the Generation R Study cohort","authors":"Famke J. M. Mölenberg,&nbsp;Michel S. Smit,&nbsp;Daan Nieboer,&nbsp;Trudy Voortman,&nbsp;Wilma Jansen","doi":"10.1111/ijpo.13200","DOIUrl":"https://doi.org/10.1111/ijpo.13200","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>This study investigated the long-term impact of the primary school-based multicomponent lifestyle intervention “Lekker Fit!” (LF) on obesity-related outcomes, and studied whether the impact differed between population subgroups.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Children from the Generation R Study (Rotterdam, the Netherlands) were categorized into the LF group (6 years exposure, between the ages 6/7 to 12/13 years) or regular school group (no exposure). BMI and DXA-derived fat mass were assessed after 4 years of intervention (age 10 years), and 1.5 years post-intervention (age 14 years). A propensity score matching model was fitted to examine the intervention effect on BMI-z-score and percent fat mass, and we tested for differences by sex, pre-intervention weight status, ethnic background, and income.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We found no effect on BMI-z-score [0.06 (95% confidence interval [CI]: −0.04 to 0.17)] and percent fat mass (0.4%-point [95% CI: −0.2 to 1.1]) after 4 years of intervention. 1.5 years post-intervention and after 6 years of exposure, BMI-z-score (0.11 [95% CI: 0.00–0.22]) and percent fat mass (1.1%-point [95% CI: 0.2–1.9]) were significantly higher for children in the LF group. No subgroup differences were found.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Findings suggest the need for obesity prevention programs that extend beyond primary education.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"20 3","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.13200","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143362364","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}

{"title":"The use of submaximal parameters in the assessment of exercise capacity in children with obesity","authors":"K. Peled,&nbsp;Einat Kodesh,&nbsp;Merav Zucker-Toledano,&nbsp;R. Bar-Yoseph,&nbsp;S. Borik-Chiger,&nbsp;Gur Mainzer","doi":"10.1111/ijpo.13201","DOIUrl":"https://doi.org/10.1111/ijpo.13201","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Peak oxygen uptake (VO₂) is considered the most important indicator of aerobic exercise capacity during cardiopulmonary exercise testing (CPET). However, its accuracy is compromised when maximal effort is not achieved. In such cases, submaximal parameters can serve as surrogates for assessing exercise performance.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>To compare the differences in maximal and submaximal exercise parameters between children with obesity and normal weight.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A prospective study evaluating CPET using a treadmill completed by children with and without obesity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>A total of 153 children (50.9% females) were divided into two groups: obese (<i>n</i> = 87) and non-obese (<i>n</i> = 66). Children with obesity achieved lower exercise capacity (peakVO₂ of 68% ± 16% vs. 89% ± 15%; <i>p</i> &lt; 0.0001) with fewer achieving maximal effort (26.4% vs. 78.7%, respectively). VO₂-derived submaximal parameters showed a significantly lower oxygen uptake efficiency slope per body weight (OUES/kg) (30.5 ± 6.1 vs. 39.0 ± 9.5; <i>p</i> &lt; 0.0001) and lower VO₂ at ventilatory threshold (VO₂@AT) (21.2 ± 4.6 vs. 26.4 ± 5.3, <i>p</i> = 0.0001) in the obese group, with no significant differences in the CO₂-derived parameters.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Maximal exercise data in children with obesity is frequently unavailable due to failure to achieve maximal effort. Submaximal parameters, such as OUES and VO₂@AT, may be useful substitute options for assessing the health and functional level of this population.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"20 5","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143835962","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}

{"title":"Acute simulated weight gain might not increase the energy cost of walking in adolescents with obesity","authors":"D. Thivel,&nbsp;G. Ennequin,&nbsp;J. Siroux,&nbsp;A. Couret,&nbsp;D. Beraud,&nbsp;B. Pereira,&nbsp;M. Duclos,&nbsp;S. Lazzer,&nbsp;Y. Boirie,&nbsp;L. Isacco","doi":"10.1111/ijpo.13197","DOIUrl":"10.1111/ijpo.13197","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>This work aims at evaluating the adaptations of the energy cost of walking (Cw) to simulated weight gain at different walking speeds in adolescents with obesity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Substrate use and Cw were evaluated during a graded walking exercise (4 × 5min at 0.75, 1, 1.25, 1.5 m.s⁻¹) performed under three randomized body weight conditions (BW-conditions): (i) at the adolescents' body weight (BW + 0%) or with a simulated weight gain of (ii) 5%(BW + 5%) and (iii) 10%(BW + 10%), in 18 adolescents with obesity (14.2 ± 1.4 years, BMI:33.86 ± 2.55 kg.m-²). Body composition was assessed by absorptiometry and perceived exertion rated after every walking speed stage.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>EE in absolute or relative to BW and FFM was different between BW-conditions (<i>p</i> = 0.017, 0.006 and 0.007, respectively) being lower on BW + 5% than BW + 10%. Gross Cw (absolute, relative to BW and fat-free mass) showed overall speed (<i>p</i> &lt; 0.001) and BW-conditions effects, being lower on BW + 5% compared with BW + 10% (<i>p</i> &lt; 0.001). Net Cw (absolute, relative to BW and fat-free mass) showed a significant speed effect (&lt;0.001) but no BW-conditions nor interaction effect.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>While EE and Cw have been shown to decrease in response to weight loss, potentially as a way to save stored energy and limit further weight loss, inverse adaptations do not seem to occur with increased acute simulated weight gain in weight stable adolescents with obesity.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"20 5","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142908756","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}