Pediatric Obesity最新文献

{"title":"The effectiveness of multidisciplinary weight loss interventions is associated with initial cardiorespiratory fitness in adolescents with obesity","authors":"Brahim Allali,&nbsp;Bruno Pereira,&nbsp;Alicia Fillon,&nbsp;Lili Pouele,&nbsp;Julie Masurier,&nbsp;Charlotte Cardenoux,&nbsp;Laurie Isacco,&nbsp;Yves Boirie,&nbsp;Martine Duclos,&nbsp;David Thivel,&nbsp;Valérie Julian","doi":"10.1111/ijpo.13147","DOIUrl":"10.1111/ijpo.13147","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>The identification of predictive parameters of the success of multidisciplinary weight loss interventions (MWLI) appears essential to optimize obesity management. The association between baseline cardiorespiratory fitness (CRF) and changes in anthropometric parameters and body composition during MWLI remains underexplored in adolescents with obesity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>To assess whether baseline CRF was associated with the effectiveness of a 16-week MWLI measured through improved body mass, body mass index (BMI) and body composition (percentage of total fat mass (FM) as the main criterion).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Cardiorespiratory fitness and body composition were respectively measured by peak oxygen consumption (VO_2peak) during maximal exercise tests and dual-photon x-ray absorptiometry (DXA), before (T0) and after (T1) a 16-week MWLI in 165 adolescents (aged 13.3 ± 1.38 years, 61.2% female, BMI 35.11 ± 5.16 kg/m²).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Reductions in BMI and total FM percentage between T0 and T1 were greater in subjects with a baseline VO_2peak ≥ 3rd quartile compared to the first quartile (<i>p</i> &lt; 0.001) and the interquartile range (<i>p</i> &lt; 0.05 and <i>p</i> &lt; 0.001, respectively). Baseline VO_2peak and VO₂ at the first ventilator threshold were positively correlated with the reductions in body mass, BMI and total and visceral FM percentages and with the increase in lean mass (LM) percentage between T0 and T1 after adjustment for age and gender (<i>p</i> &lt; 0.001).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Initial CRF is associated with the success of MWLI in adolescents with obesity. Improving their aerobic fitness before starting a MWLI might be a promising strategy to optimize its benefits.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"19 8","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141454213","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":"The association of breastfeeding duration on metabolic syndrome among children and adolescents, stratified by birth weight for gestational age","authors":"Wen Yuan,&nbsp;Jianuo Jiang,&nbsp;Sha-sha Song,&nbsp;Jieyu Liu,&nbsp;Manman Chen,&nbsp;Qiaoxin Shi,&nbsp;Yi Zhang,&nbsp;Li Chen,&nbsp;Yang Qin,&nbsp;Ruolin Wang,&nbsp;Tongjun Guo,&nbsp;Xinxin Wang,&nbsp;Qi Ma,&nbsp;Yanhui Dong,&nbsp;Jun Ma","doi":"10.1111/ijpo.13145","DOIUrl":"10.1111/ijpo.13145","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background and Objectives</h3>\u0000 \u0000 <p>This study aimed to examine the associations between breastfeeding duration and metabolic syndrome (MetS) in adolescents and to further investigate the role of birth weight for gestational age (GA) on these associations.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A total of 10 275 participants aged 7 to 18 years were included applying multistage cluster random sampling from a Chinese national survey. Birth weight was classified into small for GA (SGA), appropriate for GA (AGA) and large for GA (LGA). Information was collected through a self-administered questionnaire, physical examination and blood biochemical examination. Multivariable linear regression, logistic regression models, restricted cubic spline models were applied to assess the relationships of breastfeeding duration and MetS with different birth weight for GA.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The prevalence of non-breastfeeding, 0–5, 6–12 and &gt;12 months groups were 16.2%, 23.1%, 42.5% and 18.2%, and the prevalence of SGA and LGA was 11.9% and 12.7%, respectively. Prolonged breastfeeding duration was associated with higher odds of MetS (β: 0.08, 95% CI: 0.03, 0.13), WC (β: 3.49, 95% CI: 2.82, 4.16) and SBP (β: 2.34, 95% CI: 1.80, 2.89). SGA and prolonged breastfeeding synergistically increased MetS risks, but LGA appeared to offset the adverse effects of prolonged breastfeeding.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Prolonged breastfeeding may increase children's MetS risks. SGA synergies with prolonged breastfeeding increased MetS burden in children and adolescents, while LGA mitigated the risks. This reminds us that intensive attention should be paid to both early birth weight and subsequent living environment for children and adolescents' lifelong health.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"19 8","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141417068","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 and predictors of weight loss response to phentermine plus lifestyle modifications among youth in a paediatric weight management clinical setting","authors":"Eric M. Bomberg,&nbsp;Justin Clark,&nbsp;Kyle D. Rudser,&nbsp;Amy C. Gross,&nbsp;Aaron S. Kelly,&nbsp;Claudia K. Fox","doi":"10.1111/ijpo.13143","DOIUrl":"10.1111/ijpo.13143","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Anti-obesity medications (AOMs) are promising lifestyle modification (LSM) adjuncts for obesity treatment, and phentermine is commonly prescribed in paediatric weight management clinics. Determining ‘real-world’ AOM effectiveness and characteristics predicting response is important.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>We sought to describe phentermine plus LSM effectiveness and identify baseline characteristics predicting response.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This was a retrospective cohort study among youth seen in a US academic-based weight management clinic from 2012 to 2020. Baseline characteristics (e.g., body mass index (BMI), liver transaminases, eating-related behaviours) and outcomes (%BMI of 95th percentile (%BMIp95), BMI, %BMI change, weight) were determined through electronic health records and intake surveys.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Among 91 youth prescribed phentermine plus LSM over 8 years (mean %BMIp95 150%), %BMIp95 was statistically significantly reduced at 1.5, 3, 6 and 12 months (peak reduction 10.9 percentage points at 6 months; <i>p</i> &lt; 0.001). Considering multiple comparisons, the presence of baseline elevated alanine aminotransferase was associated with statistically significant smaller 1.5-month %BMIp95 reductions (<i>p</i> = 0.001) and higher food responsiveness with smaller 3- (<i>p</i> = 0.001) and 6-month (<i>p</i> &lt; 0.001) reductions.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Phentermine plus LSM reduced %BMIp95 among youth in a weight management clinic, and baseline characteristics may help determine those more or less likely to respond. Prospective studies are needed to further characterize effectiveness and confirm response predictors.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"19 8","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.13143","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141417018","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":"Primary care perspectives on prescribing anti-obesity medication for adolescents","authors":"Rutha Chivate,&nbsp;Pamela Schoemer,&nbsp;Maya I. Ragavan,&nbsp;Kristin Ray,&nbsp;Megan O. Bensignor,&nbsp;Andrea B. Goldschmidt,&nbsp;Mary Ellen Vajravelu","doi":"10.1111/ijpo.13146","DOIUrl":"10.1111/ijpo.13146","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Recent pediatric guidelines recommend clinicians offer anti-obesity medication (AOM) as an adjunct to intensive lifestyle intervention.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>To investigate pediatricians' perspectives about prescribing AOM, including barriers and facilitators.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>An investigator-developed survey was emailed to primary care pediatric physicians (<i>n</i> = 187) and advanced practice providers (<i>n</i> = 190) within an academic-affiliated network. The survey evaluated how willing clinicians were to prescribe AOM and their agreement with 25 statements about barriers and facilitators. Three vignettes explored AOM decision-making. Multinomial logistic regression was used to determine relative risk ratios for willingness to prescribe by agreement with each statement.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Among 74 respondents (20% response rate), 24% were willing, 42% uncertain and 34% unwilling to prescribe. Most (64%) agreed that AOM should be managed only by specialists. Willingness to prescribe was associated with clinician motivation and belief in guideline practicality and applicability. Unwillingness was associated with beliefs that patients would not continue AOM long enough for benefit and that there was insufficient time or resources to implement. In vignettes, 52% were willing to prescribe AOM for a patient with severe obesity and metabolic complications, versus 11% for a patient with obesity and possible disordered eating.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Willingness to prescribe AOM was low and was associated with perceived practicality and appropriateness for patients.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"19 8","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.13146","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141329883","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 paediatric obesity, chemical mixtures and environmental factors, in a national cross-sectional study of Canadian children","authors":"Rose Dugandzic,&nbsp;Natalia Konstantelos,&nbsp;Yamei Yu,&nbsp;Eric Lavigne,&nbsp;Sebastian Srugo,&nbsp;Justin J. Lang,&nbsp;Kristian Larsen,&nbsp;Tyler Pollock,&nbsp;Paul Villeneuve,&nbsp;Errol M. Thomson,&nbsp;Miranda MacPherson,&nbsp;Robert Dales,&nbsp;Sabit Cakmak","doi":"10.1111/ijpo.13117","DOIUrl":"10.1111/ijpo.13117","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Whilst single chemical exposures are suspected to be obesogenic, the combined role of chemical mixtures in paediatric obesity is not well understood.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>We aimed to evaluate the potential associations between chemical mixtures and obesity in a population-based sample of Canadian children.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We ascertained biomonitoring and health data for children aged 3–11 from the cross-sectional Canadian Health Measures Survey from 2007 to 2019. Several chemicals of interest were measured in blood or urine and paediatric obesity was defined based on measured anthropometrics. Using quantile-based G computational analysis, we quantified the effects of three chemical mixtures selected a priori. Models were adjusted for sociodemographic and environmental factors identified through a directed acyclic graph. Results are presented through adjusted relative risks (RR) with 95% confidence intervals (95% CI).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We included 9147 children. Of these, 24.1% were overweight or obese. Exposure to the mixture of bisphenol A, acrylamide, glycidamide, metals, parabens and arsenic increased the risk of childhood overweight or obesity by 45% (95% CI 1.09, 1.93), obesity by 109% (95% CI 1.27, 3.42) and central obesity by 82% (95% CI 1.30, 2.56).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Our findings support the role of early childhood chemical exposures in paediatric obesity and the potential combined effects of chemicals.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"19 8","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.13117","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141316288","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":"Impact of COVID-19 pandemic on children overweight in Japan in 2020","authors":"Tomoki Kawahara,&nbsp;Satomi Kato Doi,&nbsp;Aya Isumi,&nbsp;Yusuke Matsuyama,&nbsp;Yukako Tani,&nbsp;Takeo Fujiwara","doi":"10.1111/ijpo.13128","DOIUrl":"10.1111/ijpo.13128","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>This study aimed to explore the association between the coronavirus disease (COVID-19) pandemic and overweight incidence among preadolescent elementary school children in Japan.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A population-based longitudinal study was conducted in Adachi City, Tokyo, Japan, using data from the Adachi Child Health Impact of Living Difficulty (A-CHILD) study. The control group (2016–2018) comprised 434 children, and the COVID-19 exposure group (2018–2020) included 3500 children. Overweight was defined as a body mass index (BMI) z-score of 1 SD or more according to the World Health Organization standards. The study design involved comparing BMI z-scores before and after exposure to the pandemic, considering the associated lifestyle changes and potential consequences on physical activity, parental employment status and income.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>By 6th grade, the prevalence of overweight increased from 17.7% to 19.2% in the control group and 22.5% to 29.5% in the COVID-19 exposure group. Difference-in-differences analysis revealed that children's exposure to COVID-19 significantly increased BMI z-scores (coefficient 0.22, 95% confidence interval (CI) 0.14–0.29) and a higher odds ratio of overweight (odds ratio 2.51, 95% CI 1.12–5.62), even after adjusting for time-varying covariates.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>The COVID-19 pandemic has been associated with an increased prevalence of overweight among elementary school children in Japan.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"19 8","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141174117","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":"Is family meal frequency associated with obesity in children and adolescents? A cross-sectional study including 155 451 participants from 43 countries","authors":"José Francisco López-Gil,&nbsp;Yasmin Ezzatvar,&nbsp;Ana Ojeda-Rodríguez,&nbsp;Pablo Galan-Lopez,&nbsp;Josefa María Panisello Royo,&nbsp;Anelise Reis Gaya,&nbsp;Cesar Agostinis-Sobrinho,&nbsp;Nerea Martín-Calvo","doi":"10.1111/ijpo.13124","DOIUrl":"10.1111/ijpo.13124","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>This study tried to examine the association between the frequency of family meals and excess weight using large and representative samples of children and adolescents from 43 countries.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This cross-sectional study used data from the Health Behaviour in School-aged Children (HBSC), which included nationally representative samples of children and adolescents aged 10–17 years, involving a total of 155 451 participants (mean age = 13.6 years; standard deviation [SD] = 1.6; 51.4% girls). Family meal frequency was gauged through the following question: ‘How frequently do you and your family typically share meals?’ The possible responses were: ‘never’, ‘less often’, ‘approximately once a week’, ‘most days’ and ‘every day’. The body weight and height of the participants were self-reported and utilized to calculate body mass index (BMI). Subsequently, BMI <i>z</i>-scores were computed based on the International Obesity Task Force criteria, and the prevalence of excess weight was defined as +1.31 SD for boys and + 1.24 SD for girls, with obesity defined as +2.29 SD for boys and + 2.19 SD for girls. Generalized linear mixed models were conducted to examine the associations between the frequency of family meals and excess weight or obesity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The lowest predicted probabilities of having excess weight and obesity were observed for those participants who had family meals every day (excess weight: 34.4%, 95% confidence interval [CI] 31.4%–37.5%; obesity: 10.8%, 95% CI 9.0%–13.0%).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>A higher frequency of family meals is associated with lower odds of having excess weight and obesity in children and adolescents.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"19 8","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.13124","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141154580","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":"Television watching during meals is associated with higher ultra-processed food consumption and higher free sugar intake in childhood","authors":"Nerea Martín-Calvo,&nbsp;Ane Usechi,&nbsp;Elise Fabios,&nbsp;Santiago Felipe Gómez,&nbsp;José Francisco López-Gil","doi":"10.1111/ijpo.13130","DOIUrl":"10.1111/ijpo.13130","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>The consumption of ultra-processed foods (UPFs) is associated with an increased risk of noncommunicable diseases and mortality in adults. The aim of this study was to analyse the association between mealtime television (TV) watching and UPF consumption in childhood.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Materials and Methods</h3>\u0000 \u0000 <p>Participants in the SENDO project recruited in 2015–2023 were classified into three categories based on the frequency at which they watched TV during meals. Dietary information was collected with a validated 147-item semi-quantitative food frequency questionnaire. Generalized mixed models were used to compare mean UPF consumption between groups after accounting for the main confounders. The predictive margins of participants who had a free sugar intake &gt;10% of their energy intake in each category were also calculated.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Totally 970 subjects (482 girls) with a mean age of 5.00 years (SD = 0.85) were studied. Children who watched TV during meals ≥4 times/week consumed a mean of 4.67% more energy from UPF than those who watch TV &lt;3 times/month. The adjusted proportions of children who had a free sugar intake &gt;10% of their energy intake in the categories of &lt;3 times/month, 1–3 times/week and ≥4 times/week exposure to TV during meals were 44.9%, 45.9% and 58.7%, respectively.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>TV watching during meals is associated with higher consumption of UPFs and a higher risk of exceeding 10% of TEI in free sugar intake in childhood.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"19 8","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.13130","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141086371","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":"Young children's choices and thoughts about pro-social behaviour towards others with overweight","authors":"Gemma Dearing,&nbsp;Gary J. Latchford,&nbsp;Ian D. Caterson,&nbsp;Andrew J. Hill","doi":"10.1111/ijpo.13129","DOIUrl":"10.1111/ijpo.13129","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>This study aimed to investigate weight bias within young children's pro-social choices between characters who differed in body size.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Seventy-six children aged 4–6 years read stories asking them to choose who they would first help, share with, comfort, and steal from, between a healthy weight and child with overweight. They also selected the one character they would most like to play with. Children's reasoning for these choices was recorded and analysed.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The character with overweight was helped first in only a third of the choices made. Children chose the characters with overweight more often as the target for anti-social action. In friendship selections, children overwhelmingly rejected the characters with overweight. However, weight bias was not prominent in the reasons children gave for the choices. Most children were not negative about body shape, weight or appearance. Similarly, in friendship choices, these were mostly expressed positively to the character chosen. Only a small minority of children were explicitly negative about the character with overweight.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>A better understanding of weight bias acquisition and variation between children will benefit those working in health care and educational settings. Future research should link with developmental theory, such as on social categorization and theory of mind.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"19 7","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.13129","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141064270","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":"Lifestyle-based subtypes of childhood obesity and their association with cardiometabolic factors: A cluster analysis","authors":"Jia-Shuan Huang,&nbsp;Rema Ramakrishnan,&nbsp;Quan-Zhen Liu,&nbsp;Cheng-Rui Wang,&nbsp;Song-Ying Shen,&nbsp;Ming-Xi Huang,&nbsp;Xue-Ling Wei,&nbsp;Xiu Qiu,&nbsp;Jian-Rong He","doi":"10.1111/ijpo.13127","DOIUrl":"10.1111/ijpo.13127","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Lifestyle factors play an important role in the development and management of childhood obesity and its related cardiometabolic complications.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objective/Methods</h3>\u0000 \u0000 <p>We aimed to explore childhood obesity subtypes based on lifestyle factors and examine their association with cardiometabolic health. We included 1550 children with obesity from the National Health and Nutrition Examination Survey. Cluster analysis identified obesity subtypes based on four lifestyle factors (physical activity, diet quality, sedentary time and smoking). Multiple linear regression assessed their association with cardiometabolic factors.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Five subtypes of childhood obesity were identified: unhealthy subtype (<i>n</i> = 571; 36.8%), physically active subtype (<i>n</i> = 185; 21.1%), healthy diet subtype (<i>n</i> = 404; 26.1%), smoking subtype (<i>n</i> = 125; 8.1%) and non-sedentary subtype (<i>n</i> = 265; 17.1%). Compared with the unhealthy subtype, the physically active subtype had lower insulin and HOMA-IR levels, and smoking subtype was associated with lower HDL levels. When compared with children with normal weight, all obesity subtypes had worse cardiometabolic profile, except the physically active subtype who had similar DBP, HbA1c and TC levels; smoking subtype who had similar TC levels; and healthy diet and non-sedentary subtypes who had similar DBP levels.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Children of different lifestyle-based obesity subtypes might have different cardiometabolic risks. Our new classification system might help personalize assessment of childhood obesity.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"19 7","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140920116","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}