Pediatric Obesity最新文献

{"title":"Continuous Glucose Monitoring Metrics Are Associated With Metabolic Dysfunction-Associated Steatotic Liver Disease and Not Dysglycaemia in Adolescents With Obesity-A Pilot Study.","authors":"Alapan Mahapatra, Manoj Agarwal, Vibha Yadav, Prashant Shukla, Anoop Misra, Anurag Bajpai","doi":"10.1111/ijpo.70110","DOIUrl":"https://doi.org/10.1111/ijpo.70110","url":null,"abstract":"<p><strong>Introduction: </strong>The clinical relevance of continuous glucose monitoring (CGM) metrics in adolescents with obesity remains uncertain, particularly in relation to obesity-related metabolic comorbidities.</p><p><strong>Methods: </strong>In a pilot study, 39 adolescents with obesity (age 12.9 ± 2.9 years); 29 boys; mean body mass index standard deviation score (BMI SDS; 2.25 ± 0.58) underwent 15 days of CGM along with fasting plasma glucose, oral glucose tolerance testing (OGTT), glycated haemoglobin (HbA1c), and assessment of metabolic comorbidities.</p><p><strong>Results: </strong>Adolescents with metabolic dysfunction-associated steatotic liver disease (MASLD; n = 5, 12.8%) demonstrated higher median mean amplitude of glycaemic excursion (MAGE; 42.4 vs. 35.2 mg/dL; p = 0.019) and mean of daily difference (MODD; 23.3 vs. 18.5 mg/dL; p = 0.062) compared with those without it. BMI SDS correlated positively with glucose management indicator (GMI; ρ = 0.34, p = 0.041), mean glucose (ρ = 0.34, p = 0.041), and continuous overall net glycaemic action (CONGA; ρ = 0.38, p = 0.022), whereas fasting glucose, 2-h OGTT glucose, and HbA1c showed no associations.</p><p><strong>Conclusions: </strong>In adolescents with obesity, CGM-derived glycaemic variability metrics were associated with adiposity and MASLD, whereas conventional laboratory measures were not. These findings suggest that CGM may provide complementary information for metabolic phenotyping in paediatric obesity. Longitudinal studies are required to determine implications.</p>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"21 5","pages":"e70110"},"PeriodicalIF":2.7,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147808922","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":"Regional Variations in Overweight and Obesity Among School-Aged Adolescents: Evidence From the Cross-Sectional Health Behaviour in School-Aged Children Study in 26 European Union Countries.","authors":"Dennis Boateng, Maxim Dierckens, Felix Boakye Oppong","doi":"10.1111/ijpo.70109","DOIUrl":"https://doi.org/10.1111/ijpo.70109","url":null,"abstract":"<p><strong>Background: </strong>Adolescent overweight and obesity (AdOO) represent a public health challenge across the European Union (EU). Rising AdOO prevalence contributes to early onset of chronic health conditions and long-term health inequalities. Dietary patterns, physical activity and socioeconomic and cultural environments differ across EU regions; identifying region-specific determinants is critical for shaping effective public health strategies.</p><p><strong>Methods: </strong>Behavioural and demographic variables were drawn from the 2018 Health Behaviour in School-aged Children (HBSC) survey. Interaction and spatial plots were used to illustrate region-specific risk factors and estimate differences in AdOO prevalence. Among the 26 EU countries, stratified by regional zones, multivariable logistic regression analyses were performed to identify risk factors.</p><p><strong>Results: </strong>Interaction plots indicated zone-specific profiling supporting the need for stratified analysis. AdOO prevalence exceeded 17.0% in all regions, with variation between zones. Across all four regions, middle or higher family affluence, being a girl, moderate or higher physical activity and moderate or high sweets consumption were associated with lower odds of AdOO. In contrast, behavioural factors such as smoking, alcohol use and soft-drink consumption showed weaker or region-specific increases in odds. Age was not consistently associated with AdOO across regions: it showed no significant association in Western Europe, while alcohol use was linked to higher odds only in Southern Europe, and high soft-drink consumption increased odds only in the Eastern zone.</p><p><strong>Conclusion: </strong>Region-specific risk profiles highlight opportunities for tailored interventions, including promoting physical activity, addressing socioeconomic inequalities and integrating sex-specific behavioural patterns into adolescent health policies for AdOO across the EU.</p>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"21 4","pages":"e70109"},"PeriodicalIF":2.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147758379","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":"Relative Skeletal Muscle Mass Is Associated With Hepatic Steatosis in Adolescents With Overweight and Obesity.","authors":"Julia M Boster, Melanie G Cree, Megan M Kelsey, Kristen J Nadeau, Alexander Chaidez, Zhaoxing Pan, Shikha S Sundaram","doi":"10.1111/ijpo.70108","DOIUrl":"https://doi.org/10.1111/ijpo.70108","url":null,"abstract":"<p><strong>Objectives: </strong>To assess for myopenia in adolescents with overweight/obesity (OO), and to evaluate relationships between skeletal muscle mass, hepatic steatosis and insulin sensitivity/glycemia.</p><p><strong>Study design: </strong>Secondary analysis of data collected across seven metabolic studies in adolescents with BMI ranging from OO to healthy weight (HW). Appendicular lean mass (ALM) was measured from previously obtained dual energy x-ray absorptiometry (DXA) scans and used to calculate ALM index (ALM (kg)/weight (kg) × 100). Metabolic outcomes included MRI-based fat distribution (hepatic fat fraction [HFF], visceral and subcutaneous fat mass), fasting and glucose-stimulated laboratory assessments of insulin sensitivity, secretion, and glycemia, as obtained in the parent studies. The relationships between ALM index and metabolic outcomes were studied using multivariable linear regression.</p><p><strong>Results: </strong>ALM was calculated in 304 adolescents-228 with OO (mean age 15.2 ± 2.4 years, Tanner stage 4.5 ± 1.1, 88.2% female) and 76 HW (13.7 ± 2.6 years, Tanner stage 3.4 ± 1.2, 59.2% female). Mean ALM index was significantly lower in OO than HW (23.7% ± 2.9% vs. 31.8% ± 4.5%, p < 0.01). ALM index had a significant association with square-root-transformed HFF (β = -0.09, SE = 0.03, t-value = -2.92, p < 0.01). ALM index was negatively associated with fasting C-peptide (p < 0.01) but not with other markers of insulin sensitivity/glycemia.</p><p><strong>Conclusion: </strong>Low ALM index had a significant association with hepatic steatosis in adolescents with OO, bringing attention to the interplay between muscle mass and hepatic steatosis in this population. This finding has potential implications for optimal management of metabolic dysfunction-associated steatotic liver disease (MASLD), while the relationship between muscle mass and insulin sensitivity/glycemia requires further attention.</p><p><strong>Trail registration: </strong>ClinicalTrials.gov identifiers: NCT03717935 (https://clinicaltrials.gov/study/NCT03717935), NCT03041129 (https://clinicaltrials.gov/study/NCT03041129), NCT02157974 (https://clinicaltrials.gov/study/NCT02157974), NCT01775813 (https://clinicaltrials.gov/study/NCT01775813) and NCT03919929 (https://clinicaltrials.gov/study/NCT03919929).</p>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"21 4","pages":"e70108"},"PeriodicalIF":2.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147758370","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":"Metabolic Complications and Ultrasound-Detected Liver Abnormalities in Paediatric Patients With Duchenne Muscular Dystrophy","authors":"Karolina Śledzińska,&nbsp;Kornelia Polat,&nbsp;Agnieszka Kuchta,&nbsp;Józef Dulak,&nbsp;Agnieszka Łoboda,&nbsp;Urszula Florczyk-Soluch,&nbsp;Józef Szczyrski,&nbsp;Joanna Bautembach,&nbsp;Jarosław Meyer-Szary,&nbsp;Edyta Wernio,&nbsp;Anna Lemska,&nbsp;Ewa Pilarska,&nbsp;Maria Mazurkiewicz-Bełdzińska,&nbsp;Ninela Irga-Jaworska,&nbsp;Jolanta Wierzba","doi":"10.1111/ijpo.70106","DOIUrl":"10.1111/ijpo.70106","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Nutritional care in Duchenne muscular dystrophy (DMD), a progressive neuromuscular disorder, is particularly important due to the high risk of obesity in childhood and malnutrition in adolescence.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>The study aimed to evaluate metabolic complications in DMD, such as liver USS (ultrasound scan) abnormalities and abnormal biochemical markers in relation to disease progression.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>All patients underwent physical examination, laboratory tests and abdominal USS with liver size and echogenicity assessment with subsequent comparison within age subgroups.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The mean age of the 131 participants was 11.2 ± 4.4 years; 72 were ambulant. Most (78%) were treated with steroid therapy for an average of 52.6 ± 46.7 months. Increased BMI <i>z</i>-scores were noted in 41% of boys with DMD (19% obese, 22% overweight), with significant age-related variation (<i>χ</i>² = 15.68, <i>p</i> = 0.0035). USS revealed hepatomegaly in 56% and steatosis in 24% of patients; both were more frequent with age and higher BMI <i>z</i>-score. Boys over 13 years, with normal liver scan, had lower weight/BMI <i>z</i>-scores, CRP level and higher HDL-C levels. Dyslipidemia was reported in 81% of patients, and insulin resistance in 13.9%, with insulin levels increasing with age.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Metabolic complexity in DMD calls for early targeted care; understanding the dystrophin role may be crucial.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"21 4","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13033912/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147571518","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 of Maternal Pre-Pregnancy BMI With Frontostriatal Connectivity in Young Children","authors":"Abdulmumin Ibrahim,&nbsp;Liuyi Chen,&nbsp;Elena Jansen,&nbsp;Muriel M. K. Bruchhage,&nbsp;Jennifer Beauchemin,&nbsp;Angelica Owen,&nbsp;Rosa Cano Lorente,&nbsp;Fatoumata Barry,&nbsp;RESONANCE CONSORTIUM,&nbsp;D. Koinis-Mitchell,&nbsp;Viren D'Sa,&nbsp;Sean C. L. Deoni,&nbsp;Susan Carnell","doi":"10.1111/ijpo.70101","DOIUrl":"10.1111/ijpo.70101","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Maternal obesity during pregnancy has previously been associated with increased body weight and altered brain structure and function in offspring. However, few studies have included young children or specifically examined effects on functional connectivity of frontostriatal networks undergirding functions implicated in appetite and body weight, such as reward processing and inhibitory control.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We analysed resting state functional Magnetic Resonance Imaging (rsfMRI) data for 83 children (ages 2–11 years) from the RESONANCE cohort who were born to mothers ranging in BMI as assessed pre-pregnancy (BMI: mean ± SD = 26.8 ± 7.8, range = 18.3–50.1). We examined associations between maternal BMI and child functional connectivity of the nucleus accumbens (NAcc) with three regions in the frontal cortex.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Analyses controlling for maternal education and for child sex, age and current BMIz demonstrated that higher maternal pre-pregnancy BMI was associated with stronger positive connectivity of NAcc with rostral prefrontal cortex and frontal pole. Stratified sensitivity analyses demonstrated that child effects were driven by weight variation among mothers with higher weights rather than representing an effect of lower maternal weight.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Our analysis found that increased BMI during pregnancy was associated with stronger positive frontostriatal connectivity in young children. Prospective studies incorporating gold-standard measures of maternal and child adiposity and metabolic health as well as behavioural and cognitive measures are needed to understand implications and inform future interventions.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"21 4","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13033914/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147571391","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":"Optimizing Exercise Strategies for Insulin Resistance in Children and Adolescents With Overweight or Obesity: A Network Meta-Analysis","authors":"Qinzheng Liu,&nbsp;Xianyang Xin,&nbsp;Hai Wang,&nbsp;Bingjie Zhai,&nbsp;Ni Dong,&nbsp;Yongqing Guo,&nbsp;Jun Xie","doi":"10.1111/ijpo.70104","DOIUrl":"10.1111/ijpo.70104","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>This study compared aerobic exercise (AE), resistance training (RT), high-intensity interval training (HIIT) and combined training (COM) on insulin resistance markers in children and adolescents with overweight/obesity via network meta-analysis (NMA).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Following PRISMA guidelines, 63 RCTs (<i>n</i> = 3286) published through August 2025 were included. We calculated standardized mean differences (SMD) and 95% confidence intervals (CI) using random-effects models. SUCRA was used to rank effectiveness.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Exercise interventions improved fasting glucose (FBG), fasting insulin (FINS) and HOMA-IR. HIIT was most effective for FINS (SMD = −0.80 [−1.22, −0.37]) and HOMA-IR (SMD = −1.21 [−1.76, −0.65]), while COM best lowered FBG (SMD = −0.41 [−0.66, −0.15]). AE improved all three indicators. RT alone lacked significant effects but enhanced metabolic benefits in COM. Minor small-study effects appeared for FINS and HOMA-IR; publication bias for FBG was minimal.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Different modalities offer complementary benefits. AE serves as a foundational intervention, while HIIT and COM act as intensification strategies. RT provides crucial support within combined programs. Future research should define optimal exercise intensity and duration to maximize benefits.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"21 4","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147519485","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":"Pilot Randomised Controlled Trial of the Feasibility and Acceptability of Family-Based Time Limited Eating to Treat Obesity","authors":"Amy C. Gross,&nbsp;Erika S. Helgeson,&nbsp;Qi Wang,&nbsp;Lisa S. Chow","doi":"10.1111/ijpo.70103","DOIUrl":"10.1111/ijpo.70103","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Time-limited eating (TLE) shows promise as an adult obesity treatment; little is known in paediatrics or families.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>To assess the feasibility and acceptability of family-based TLE.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This was a 12 week pilot randomized trial comparing family-based TLE to dietary standard of care (SOC). Families included a child aged 3–9 years and caretaker, both with obesity. TLE received instruction to end eating after the evening meal and otherwise eat ad libitum. SOC received dietary instruction. Primary outcomes, feasibility and acceptability, were measured through retention, intervention burden (i.e., treatment time) and satisfaction surveys. Anthropometrics were measured at baseline and 12 weeks. Between-arm comparisons of BMI percentile above the median (%BMIp50) used mixed effects models to account for family clustering; comparisons of adult BMI and child BMI percentage of the 95th percentile (%BMIp95) used two-sample <i>t</i>-tests.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Eighteen families enrolled (10 TLE; 8 SOC). Retention was 94% (100% TLE, 88% SOC). TLE required significantly less total treatment time than SOC [84.3 vs. 140.9 min; <i>p</i> &lt; 0.001]. Satisfaction was high; 89% TLE and 100% SOC would recommend their treatment. Overall, SOC reduced mean %BMIp50 more than TLE (mean difference: −3.9; <i>p</i> = 0.001), with no difference in change in child %BMIp95 between arms (−0.2, <i>p</i> = 0.92), but with SOC reducing parental BMI more than TLE (−1.6, <i>p</i> = 0.002).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Family-based TLE was feasible and acceptable and required less time to implement than SOC, suggesting TLE could be an accessible dietary intervention for families. Fully powered studies are needed to determine BMI efficacy.</p>\u0000 \u0000 <p><b>Trial Registration:</b> ClinicalTrials.gov: NCT05107726</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"21 3","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147484096","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":"Machine Learning Prediction of Obesity Development in Children With Overweight Using Longitudinal Body Composition Data","authors":"Dohyun Chun,&nbsp;Young-Jun Rhie,&nbsp;Jason Sawyer,&nbsp;Jongho Kang,&nbsp;Nathan Yoon,&nbsp;Jihun Kim","doi":"10.1111/ijpo.70105","DOIUrl":"10.1111/ijpo.70105","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Children with overweight (body mass index [BMI] between the 85th and 95th percentiles) represent a critical target for obesity prevention, with obesity progression rates 10- to 20-fold higher than normal-weight peers.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>This study developed machine learning models to predict obesity in this high-risk group using anthropometric and bioelectrical impedance analysis parameters.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We analysed longitudinal data from 2801 overweight Korean children aged 7–9 years. XGBoost models integrated anthropometric measurements, bioelectrical impedance-derived body composition, standardised deviation scores and growth velocity parameters to predict obesity (BMI ≥ 95th percentile). Sex-stratified models were evaluated using area under the receiver operating characteristic curve (AUROC) with bootstrap validation. Shapley Additive exPlanations (SHAP) identified key predictive features.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Obesity developed in 32.3% of males and 25.4% of females during follow-up. Models achieved AUROC scores of 0.671 (95% CI: 0.619–0.721) for males and 0.652 (95% CI: 0.589–0.700) for females. Key predictors included standardised weight and adiposity measures, height-adjusted skeletal muscle mass and growth velocity parameters.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Machine learning models demonstrated effective predictive performance for obesity in children with overweight. Incorporating standardised adiposity measures and growth velocity beyond static anthropometric data provides a robust framework for risk stratification in this high-risk population.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"21 3","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147479254","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":"Longitudinal Improvements in Health-Related Quality of Life Among Children Enrolled in the CANadian Paediatric Weight Management Registry (CANPWR) Over 3 Years","authors":"Marina Ybarra,&nbsp;Grace Rebekah,&nbsp;Geoff D. C. Ball,&nbsp;Annick Buchholz,&nbsp;Jill Hamilton,&nbsp;Josephine Ho,&nbsp;Ian Zenlea,&nbsp;Rajibul Mian,&nbsp;Lehana Thabane,&nbsp;Katherine M. Morrison,&nbsp;the CANPWR Investigators","doi":"10.1111/ijpo.70100","DOIUrl":"10.1111/ijpo.70100","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Health-related quality of life (HRQoL) can be impaired in children with obesity. Utilising data from the CANadian Paediatric Weight Management Registry (CANPWR), we examined changes in HRQoL up to 3-year after enrollment in paediatric weight management programs (PWMP) and demographic, socioeconomic, behavioural and health-related factors associated with it.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Data were collected from 2013 to 2020. Child (≥ 8 years) and parent-reported HRQoL data were assessed via questionnaire (PedsQL4.0) at baseline, 6-month, 1-, 2- and 3-year post-baseline in PWMP. Over time, HRQoL and associations with demographic, anthropometric, behavioural and health services data were examined using linear effects and mixed effects models.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Findings</h3>\u0000 \u0000 <p>A total of 1145 participants were included at baseline (47.8% male; age 12.4 ± 3.3 years; BMI <i>z</i>-score: 3.5 ± 1.2; 68.8% White), 793 (69%) at 1- and 615 (54%) at 3-year post-baseline. Total HRQoL improved from baseline to 6-month and was higher at 3-year (child-total score: 69.9 ± 15.2 vs. 74.6 ± 14.5, <i>p</i> &lt; 0.001; parent-total score: 64.6 ± 17.4 vs. 68.6 ± 17.0; <i>p</i> &lt; 0.001). Total child-reported HRQoL was higher in boys (ß: 2.71, CI: 1.2–4.2; <i>p</i> &lt; 0.01), children who identified as non-White (ß: 2.63, CI: 0.8–4.5; <i>p</i> &lt; 0.01), and those with higher household incomes (ß: 3.65, CI: 1.6–5.7; <i>p</i> &lt; 0.01), independent of BMI <i>z</i>-score. Higher total child-reported HRQoL scores were positively related to higher hours of clinic attendance (ß: 0.09 CI: 0.06–0.12; <i>p</i> &lt; 0.01). In contrast, sleep disturbance, lower physical activity, and higher screen time were associated with lower total child-reported HRQoL independent of BMI <i>z</i>-score.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Both child- and parent-reported HRQoL scores improved over 3 years, and these changes were associated positively with clinic attendance and negatively with unhealthy behaviours.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"21 3","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12982638/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147442146","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":"Validity of the PortionSize App for Assessing Children's Dietary Intake: Results From a Pilot Study Conducted in Controlled and Free-Living Settings","authors":"Sanjoy Saha,&nbsp;Hanim E. Diktas,&nbsp;Chloe P. Lozano,&nbsp;Amanda E. Staiano,&nbsp;Stephanie T. Broyles,&nbsp;John W. Apolzan,&nbsp;Corby K. Martin","doi":"10.1111/ijpo.70102","DOIUrl":"10.1111/ijpo.70102","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>PortionSize is a mobile app that allows users to assess dietary intake and provide feedback in real-time.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>To assess the validity of the PortionSize app for estimating children's dietary intake when assessed by the children themselves (phase 1) and relative agreement of the app when assessed by their parents (phase 2).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This pilot study recruited 31 child/parent dyads. Each dyad was trained on the PortionSize app to assess dietary intake. In phase 1, children (7–12 years) assessed dietary intake in a controlled setting, and their assessments were compared with weighed meals. In phase 2, parents assessed their child's dietary intake in a free-living setting, and the criterion measure was the digital photography of foods (DPF) method.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Children's energy intake assessments using PortionSize were equivalent to weighed meals (<i>p</i> &lt; 0.05, effect size: 0.22), while energy intake estimates by parents using PortionSize were not equivalent to the DPF method (<i>p</i> &gt; 0.05, effect size: 0.26). The mean percent error between the measurements was 9.1% in phase 1 and 16.5% in phase 2.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The findings suggest PortionSize may be accurate in controlled settings when used by children. In a free-living setting when used by parents, results indicated PortionSize needs improvements in methods for estimating portion size and food identification. The study findings from phase 2 reflect feasibility and relative agreement rather than validation against true intake. This pilot study focuses on initial validity, relative agreement, and user satisfaction, indicating potential for future clinical and community-based pediatric dietary and weight management applications.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Trial Registration</h3>\u0000 \u0000 <p>NCT05587816 (https://clinicaltrials.gov/study/NCT05587816?term=PortionSize%20app&amp;rank=1)</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"21 3","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147429484","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}