Pediatric Obesity最新文献

{"title":"Exposure to Food Additives, Dietary Indicators, and Adiposity in Chilean Preschool Children","authors":"Camila Zancheta,&nbsp;Mariana Grilo,&nbsp;Natalia Rebolledo,&nbsp;Marcela Reyes,&nbsp;Camila Corvalan","doi":"10.1111/ijpo.70098","DOIUrl":"10.1111/ijpo.70098","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>To characterise patterns of food additive consumption and examine their associations with dietary indicators and adiposity in Chilean preschoolers.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Cross-sectional analysis of 941 children (4–6 years old) from the Food and Environment Chilean Cohort (2016). Food additives present in packaged foods and beverages were identified by linking items reported in 24-h dietary recalls to ingredient lists of packaged products collected in the same year. Additives consumed by ≥ 10% of participants were included in exploratory factor analysis, and linear regression was used to associate additive patterns with nutrient intake (total energy, sugars, saturated fats, protein, and fibre), UPF caloric share, and body mass index (BMI).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>On average, children consumed 45.5 additives (including repeated exposures) and 24.7 different additives per day. Flavourings were consumed by 99% of children, and fruit and soft drinks were their primary sources (24.4% of total additives). Five additive patterns were identified; all were associated with at least one dietary indicator, and two with BMI.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Chilean preschoolers are highly exposed to food additives, with distinct consumption patterns linked to poorer diet quality and higher BMI. There is a need for monitoring and regulatory efforts to reduce unnecessary additive exposure during childhood.</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":"147429513","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":"Adipose Depot Changes and Associated Metabolic Risk in the Longitudinal Health Influences of Puberty Study","authors":"Catherine C. Cohen,&nbsp;Jaime M. Moore,&nbsp;Samantha Bothwell,&nbsp;Laura Pyle,&nbsp;Dan Lopez-Paniagua,&nbsp;Meredith A. Ware,&nbsp;Rachel Whooten,&nbsp;Philip S. Zeitler,&nbsp;Kristen J. Nadeau,&nbsp;Megan M. Kelsey","doi":"10.1111/ijpo.70083","DOIUrl":"10.1111/ijpo.70083","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>To assess longitudinal changes in abdominal subcutaneous and visceral adipose tissue (SAT and VAT), hepatic fat fraction (HFF) and pancreatic fat fraction (PFF) across puberty in youth with/without obesity and examine associations with cardiometabolic risk markers.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Within the Health Influences of Puberty (HIP) cohort, we included 19 participants (53% female, 37% obesity) who completed magnetic resonance imaging (MRI) at early (Tanner 2/3) and late (Tanner 4/5) puberty to assess abdominal SAT and VAT areas (cm²), HFF (%) and PFF (%). Cardiometabolic markers included glucose/insulin measures assessed by intravenous glucose tolerance test, fasting lipid panel and adipokines.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>From early to late puberty, among youth with obesity, median (interquartile range) abdominal SAT increased 83.1cm² (43.4) and, among youth without obesity, VAT/SAT ratio decreased −0.08 (0.08) and HFF increased 0.6% (0.5). In linear mixed models of adipose depots in early puberty and metabolic markers measured twice during puberty, adjusted for BMI group, abdominal SAT was positively associated with leptin β (95% confidence interval): 1.05 (0.35, 1.74), and VAT was positively associated with triglycerides 0.32 (0.02, 0.61) and high-sensitivity c-reactive protein (hsCRP) 1.40 (0.31, 2.49), while HFF was inversely associated with insulin sensitivity 0.32 (−0.58, −0.07) and PFF was inversely associated with adiponectin 0.23 (−0.42, −0.04) (all <i>p</i> &lt; 0.05).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>In this small sample, abdominal and ectopic fat depots in early puberty were uniquely associated with alterations in cardiometabolic risk markers during puberty.</p>\u0000 \u0000 <p><b>Trial Registration:</b> ClinicalTrials.gov identifier: NCT01775813</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"21 3","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147343085","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":"Specific Fat Depots and Cardiometabolic Risk and Insulin Resistance in Children With Obesity","authors":"Cristina Cadenas-Sanchez,&nbsp;María Medrano,&nbsp;Maddi Osés,&nbsp;Mara Concepción,&nbsp;Rafael Cabeza,&nbsp;Arantxa Villanueva,&nbsp;Fernando Idoate,&nbsp;Michael I. Goran,&nbsp;Jonatan R. Ruiz,&nbsp;Idoia Labayen","doi":"10.1111/ijpo.70097","DOIUrl":"10.1111/ijpo.70097","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>In children, the impact of specific fat depots, particularly ectopic depots, on cardiometabolic health has been scarcely investigated. Therefore, we aimed to investigate the associations of various specific fat depots with cardiometabolic risk and insulin resistance in children with overweight/obesity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>One hundred fourteen children with overweight/obesity (54.4% girls, 10.6 ± 1.1 years) were included. Fat depots including abdominal visceral (VAT), subcutaneous (ASAT), and intermuscular (IMAAT) adipose tissue, lumbar spine bone marrow, hepatic and pancreatic fat were measured using magnetic resonance imaging. Cardiometabolic risk factors (blood pressure, triglycerides, high-density lipoprotein cholesterol, glucose and insulin) were assessed, and age- and sex-reference based cardiometabolic risk score and insulin resistance were calculated.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>In univariate analysis, VAT, ASAT, IMAAT and hepatic fat were significantly associated with cardiometabolic risk score (<i>β</i> = 0.308–0.526, <i>p</i> ≤ 0.001) and insulin resistance (<i>β</i> = 0.227–0.412, <i>p</i> &lt; 0.05). However, after adjusting for other fat variables, VAT was the only fat depot independently associated with cardiometabolic risk score (<i>β</i> = 0.450, <i>p</i> &lt; 0.001), while ASAT was the only fat depot independently associated with insulin resistance (<i>β</i> = 0.393, <i>p</i> &lt; 0.001). Hepatic fat did not show an independent association with either cardiometabolic risk score or insulin resistance (<i>p</i> ≥ 0.256).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>In this population, VAT and ASAT appear to be independent predictors of cardiometabolic risk and insulin resistance, respectively.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"21 3","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12953010/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147343118","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":"Correction to ‘The Association Between Schoolwork Pressure and Overweight/Obesity in Swedish Schoolchildren Across Different Socioeconomic Groups’","authors":"","doi":"10.1111/ijpo.70096","DOIUrl":"10.1111/ijpo.70096","url":null,"abstract":"<p> <span>C. Comey</span>, <span>K. R. Jonsson</span>, and <span>M. Corell</span>, “ <span>The Association Between Schoolwork Pressure and Overweight/Obesity in Swedish Schoolchildren Across Different Socioeconomic Groups</span>,” <i>Pediatric Obesity</i> <span>21</span>, no. <span>1</span> (<span>2026</span>): e70067, https://doi.org/10.1111/ijpo.70067.</p><p>The information in the ‘Ethical Consideration’ section is partially incorrect. The study used secondary data from Swedish Health Behaviour in School-aged Children study (HBSC) which does not have an ethical permit from the Swedish Ethical Review Board. The HBSC is carried out by the Public Health Agency of Sweden and Statistics Sweden and the method of obtaining consent has been approved by the Swedish government agencies: Ombudsman for Children in Sweden and Statistics Sweden.</p><p>This section should have read: ‘The study was conducted in accordance with national legislation and institutional guidelines and in accordance with the Declaration of Helsinki. Participants were informed about the purpose of the study and data storage and security. Participation in the survey was both anonymous and voluntary. Parents/guardians who did not wish their children to participate were asked to notify the school. The Public Health Agency of Sweden and Statistics Sweden comply with the EU's data protection regulation (General Data Protection Regulation, GDPR). For this study, a data request for variables from HBSC via the Public Health Agency of Sweden was submitted on January 30th, 2024, then accessed on February 6th, 2024, and thereafter. The data file was converted from SPSS to STATA. Only anonymised secondary data was used, requiring no additional permissions beyond the compliance with GDPR and national procedures of obtaining consent’.</p><p>We apologise for this error.</p>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"21 2","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.70096","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146217734","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":"Tracking BMI Changes in Parent–Child Dyads: Insights From the Feel4Diabetes Study","authors":"Eva Karaglani,&nbsp;Dimitra-Irinna Vitoratou,&nbsp;Matzourana Argyropoulou,&nbsp;Costas A. Anastasiou,&nbsp;Greet Cardon,&nbsp;Julie Latomme,&nbsp;Yuliya Bazdarska,&nbsp;Tsvetalina Tankova,&nbsp;Luis A. Moreno,&nbsp;Imre Rurik,&nbsp;Jaana Lindström,&nbsp;Konstantinos Makrilakis,&nbsp;Violeta Iotova,&nbsp;Yannis Manios","doi":"10.1111/ijpo.70094","DOIUrl":"10.1111/ijpo.70094","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Parental weight status is a key predictor of childhood obesity. However, limited evidence exists on how longitudinal changes in parental BMI influence children's weight trajectories, particularly in families at elevated risk for type 2 diabetes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>To investigate children's body mass index-for-age <i>z</i>-score (BMIz) changes over a 2-year period, associated with independent and cumulative changes in parents' BMI.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>In the Feel4Diabetes study, data from 12 280 children (age: 8.2 ± 1.0 years) and their parents were analysed to assess changes in child BMI-for-age <i>z</i>-scores over 2 years in relation to parental BMI changes. Analyses were adjusted for study design and baseline socio-demographic factors and were conducted in both the total sample (all-families) and high-risk for type 2 diabetes families (HR-families).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>In the all-families dataset, a 1 kg/m² independent decrease in maternal and paternal BMI was associated with a −0.037 (−0.041, −0.033) and −0.027 (−0.031, −0.023) change in child's BMIz [mean (95% CI)]. The joint parental effect was stronger [−0.32 (−0.36, −0.28)], particularly in HR-families [−0.34 (−0.42, −0.26)].</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Parental BMI reductions, especially when both parents are involved, contribute to favourable BMI changes in children. The changes were more pronounced in HR-families, underscoring the need for interventions targeting the whole family in populations at elevated risk for type 2 diabetes.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"21 2","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12895223/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146163219","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":"Predicting Weight Outcomes From Obesity Medications in a Paediatric Population","authors":"Md Mozaharul Mottalib,&nbsp;Rahmatollah Beheshti,&nbsp;Karthik Viswanathan,&nbsp;H. Timothy Bunnell,&nbsp;Thao-Ly T. Phan","doi":"10.1111/ijpo.70089","DOIUrl":"10.1111/ijpo.70089","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>There are limited paediatric studies comparing outcomes from different obesity medications (OMs) in real-world settings. The aim of this study is to describe real-world variability in outcomes and develop models to predict outcomes from OMs.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We examined electronic health record (EHR) data of patients (12–21 years) with obesity and without diabetes dispensed an OM from 2003 to 2025 in a paediatric healthcare system. We determined percent change in BMI percentile above the 95th percentile (%BMI_<i>p</i>95) and for patients dispensed the medication ≥ 6 months (to allow for a therapeutic dose) used a ≥ 5% reduction in %BMI_<i>p</i>95 as the outcome for Catboost gradient-boosting machine learning. We included patient (socio-demographics, baseline %BMI_<i>p</i>95, comorbidities, medications) and treatment (dose, duration, adherence, specialty visits) factors as predictors.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>A total of 595 patients were included (20% Hispanic, 27% Black, 49% public insurance, 62% with severe obesity). For patients dispensed Liraglutide, Phentermine, Phentermine/Topiramate and Semaglutide &gt; 12 months (comparable duration to clinical trials), average percentage change in %BMI_<i>p</i>95 was 8.76, 10.90, 9.34 and 12.87, and 64%–80% had a ≥ 5% final %BMI_<i>p</i>95 reduction. Predictive models demonstrated AUROC ≥ 0.75. OM duration, baseline %BMI_<i>p</i>95 and number of specialty visits were associated.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The OMs studied had similar outcomes, with Semaglutide demonstrating slightly better outcomes, but not all patients had successful outcomes. Predictive models can inform clinical decision-making about OMs based on individual characteristics. Future studies validating models prospectively are needed.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"21 2","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146176826","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":"Liver Fat Is Associated With Elevated FGF21 in Youth With Obesity but Without MASLD","authors":"Emir Tas,&nbsp;Eva C. Diaz,&nbsp;Xiawei Ou,&nbsp;Elisabet Børsheim,&nbsp;Silva Arslanian","doi":"10.1111/ijpo.70092","DOIUrl":"10.1111/ijpo.70092","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Youth with obesity are at risk for accumulating liver fat, even below the threshold for metabolic dysfunction-associated steatotic liver disease (MASLD), defined as ≥ 5% by MRI. While prior studies suggest that sub-threshold liver fat may carry metabolic risk, the role of fibroblast growth factor-21 (FGF21)—a liver-derived hormone responsive to metabolic stress—has not been well characterised in this context.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>To examine the association between liver fat &lt; 5% and metabolic markers in pubertal youth with obesity, with a focus on FGF21.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This secondary cross-sectional analysis included 58 pubertal adolescents with obesity (62% female; mean age 14.7 ± 1.7 years) and liver fat &lt; 5% by MRI-proton density fat fraction (PDFF). Fasting glucose, insulin, lipids, leptin, adiponectin and FGF21 were measured. Insulin sensitivity was estimated by homeostatic model assessment of insulin resistance (HOMA-IR). Associations between PDFF and metabolic markers were analysed using Spearman correlations and multivariable regression, adjusted for age, sex, race, ethnicity and body mass index standard deviation score (BMI SDS).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The median PDFF was 2.68%. PDFF correlated positively with BMI SDS, waist circumference, glucose, triglyceride-to-high-density lipoprotein cholesterol ratio (TG/HDL-C) and FGF21. In adjusted models, PDFF remained independently associated with FGF21 (Beta = 52 pg/mL per 1% increase; <i>p</i> = 0.02), even after log transformation. No associations were observed with HOMA-IR, leptin, or adiponectin.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Among pubertal youth with obesity and liver fat below the MASLD threshold, modest increases in PDFF were independently associated with higher FGF21. These findings support the potential utility of FGF21 as a biomarker of early hepatic-metabolic stress in the framework of ‘pre-MASLD’ state—similar to pre-diabetes before the development of overt steatosis.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"21 2","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12888524/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146148625","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":"Endotoxin Markers Are Elevated in Adolescents With Obesity With and Without Metabolic Dysfunction-Associated Steatotic Liver Disease","authors":"Alison M. Boone,&nbsp;Alyssa M. Bartlett,&nbsp;Jordan A. Bays,&nbsp;Youngsil Kim,&nbsp;Zhongxin Yu,&nbsp;Sirish K. Palle,&nbsp;Jacob E. Friedman,&nbsp;Kevin R. Short","doi":"10.1111/ijpo.70093","DOIUrl":"10.1111/ijpo.70093","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common chronic liver disease in paediatric patients. Adult and murine studies have suggested a role for endotoxin from gram-negative bacteria in the development of MASLD, but there is incomplete and conflicting evidence for its role in adolescents.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>To determine if adolescents with biopsy-proven MASLD have elevated endotoxin activity and whether endotoxin markers are associated with liver histological features.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Serum endotoxin core antibodies (EndoCab IgG), lipopolysaccharide binding protein (LBP), soluble CD14 (sCD14) and C-reactive protein (CRP) were measured in adolescents with obesity and MASLD (<i>n</i> = 46), and control groups without MASLD with obesity (Ob, <i>n</i> = 28) or normal weight (NW, <i>n</i> = 34).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Compared to the NW group, both the MASLD and Ob groups had higher EndoCab IgG (56%), LBP (33%) and CRP (11-fold), while sCD14 did not differ. LBP and CRP were positively correlated to trunk and total body fat (<i>r</i> = 0.45 and 0.64, respectively), and to one another (<i>r</i> = 0.42), all <i>p</i> &lt; 0.001. None of the endotoxin markers varied between boys and girls, or with liver steatosis grade or fibrosis stage within the MASLD group.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Serum markers of endotoxin activity and inflammation are increased in adolescents with obesity but are not further increased in patients with mild to moderate MASLD.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"21 2","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146155370","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":"Effects of Semaglutide on BMI and Cardiometabolic Profile in Adolescents With Variants in Monogenic Obesity-Related Genes","authors":"Mostafa Salama,&nbsp;Doha Hassan,&nbsp;Filippo Pinto e Vairo,&nbsp;Aida Lteif,&nbsp;Roland Hentz,&nbsp;Ole Olson,&nbsp;Siobhan Pittock,&nbsp;Alaa Al Nofal,&nbsp;Ana Creo,&nbsp;Seema Kumar","doi":"10.1111/ijpo.70091","DOIUrl":"10.1111/ijpo.70091","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>To evaluate the impact of semaglutide on body mass index (BMI) and cardiometabolic markers in adolescents with obesity and genetic variants associated with monogenic or syndromic obesity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A retrospective chart review was conducted in adolescents with severe obesity who underwent multigene panel testing and were treated with semaglutide.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Twenty-seven adolescents (mean age 15 ± 1.9 years); BMI % of the 95th percentile 158 ± 29; (70% White) were treated with semaglutide for a mean of 10 ± 4.7 months. Participants were classified into three groups: (1) <i>Dominant or Known Risk Variants</i> (<i>n</i> = 7); (2) <i>Carriers of Rare Variants in Recessive Genes</i> (<i>n</i> = 10); and (3) <i>Negative or Unmatched Genetic Findings</i> (<i>n</i> = 10). All groups showed reductions in BMI, which was not different between the groups. Adolescents with dominant or known risk variants experienced a significant decrease in BMI % of the 95th percentile (−17, (IQR −26 to −10) <i>p</i> = 0.022) and in BMI by −9.4% ± 7% (<i>p</i> = 0.035). Significant improvements in median non-HDL cholesterol (−16 mg/dL), total cholesterol (−15 mg/dL), and HbA1c (−0.3%) were noted in children with dominant or known risk variants (<i>p</i> = 0.036).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Semaglutide was associated with significant reductions in BMI and cardiometabolic markers in adolescents (majority White) with dominant or known risk variants for monogenic obesity.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"21 2","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146155376","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":"Unravelling the Ties: How Attachment Styles and Emotion Regulation Fuel Emotional Eating in Youth With Obesity—A Clinical Sample Study","authors":"Joana Gómez-Odriozola,&nbsp;Jolien Braet,&nbsp;Ine Verbiest,&nbsp;Caroline Braet","doi":"10.1111/ijpo.70095","DOIUrl":"10.1111/ijpo.70095","url":null,"abstract":"<p>Emotional eating is critical in the development and maintenance of obesity among children and adolescents. While attachment's influence on emotional eating is increasingly recognised, little is known about how emotion regulation strategies mediate this, particularly in samples with obesity. This study examined how attachment dimensions affect emotional eating through different emotion regulation strategies in youths with obesity. 772 children and adolescents (ages 7–19) with obesity participated. Key variables were measured using validated questionnaires. Mediation effects were analysed through Structural Equation Modelling, with exploratory analyses assessing the role of the emotion regulation strategies diversity index and specific emotion regulation strategies. Higher attachment anxiety and avoidance were associated with greater emotional eating, both directly and indirectly through maladaptive emotion regulation strategies. Adaptive strategies did not show mediating effects. Attachment anxiety and avoidance increased the diversity of emotion regulation strategies, which was associated with higher emotional eating. Interventions may benefit from prioritising the effectiveness of these strategies and addressing maladaptive ones. Excessive diversity of emotion regulation strategies could reflect underlying difficulties and may be associated with higher emotional eating. A deeper understanding of the interplay between attachment and emotion regulation could inform more targeted approaches for preventing and treating obesity in youth.</p>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"21 2","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12887149/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146148672","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}