Pediatric Obesity最新文献

{"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}

{"title":"Impact of the motivational interviewing for childhood obesity treatment: The Obemat2.0 randomized clinical trial","authors":"Veronica Luque,&nbsp;Albert Feliu,&nbsp;Ricardo Closa-Monasterolo,&nbsp;Judit Muñoz-Hernando,&nbsp;Natalia Ferré,&nbsp;Desirée Gutiérrez-Marín,&nbsp;Núria Guillen,&nbsp;Josep Basora,&nbsp;Pablo Hsu,&nbsp;Clara Alegret-Basora,&nbsp;M. Àngels Serrano,&nbsp;Marta Mallafré,&nbsp;Ana M. Alejos,&nbsp;Eva N. Balcells,&nbsp;Àngels Boada,&nbsp;Sandra Paixà,&nbsp;Gisela Mimbrero,&nbsp;Susana Gil-Mancha,&nbsp;Càrol Tudela-Valls,&nbsp;Mireia Alcazar,&nbsp;Joaquín Escribano,&nbsp;Obemat2.0 Study Group","doi":"10.1111/ijpo.13125","DOIUrl":"10.1111/ijpo.13125","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background and Objective</h3>\u0000 \u0000 <p>The aim was assessing a short training for healthcare providers on patient-focused counselling to treat childhood obesity in primary care, along with dietitian-led workshops and educational materials.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Randomized clustered trial conducted with paediatrician-nurse pairs (Basic Care Units [BCU]) in primary care centres from Tarragona (Spain). BCUs were randomized to intervention (MI) (motivational interview, dietitian-led education, and educational materials) or control group (SC, standard care). Participants were 8–14-year-old children with obesity, undergoing 1–11 monthly treatment visits during 1 year at primary care centres. The primary outcome was BMI <i>z</i>-score reduction.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The study included 44 clusters (23 MI). Out of 303 allocated children, 201 (<i>n</i> = 106 MI) completed baseline, final visits, and at least one treatment visit and were included in the analysis. BMI <i>z</i>-score reduction was −0.27 (±0.31) in SC, versus −0.36 (±0.35) in MI (<i>p</i> = 0.036).</p>\u0000 \u0000 <p>Mixed models with centres as random effects showed greater reductions in BMI in MI than SC; differences were <i>B</i> = −0.11 (95% CI: −0.20, −0.01, <i>p</i> = 0.025) for BMI <i>z</i>-score, and <i>B</i> = −2.06 (95% CI: −3.89, −0.23, <i>p</i> = 0.028) for BMI %. No severe adverse events related to the study were notified.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Training primary care professionals on motivational interviewing supported by dietitians and educational materials, enhanced the efficacy of childhood obesity therapy.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"19 7","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.13125","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140907659","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 physical health amongst children: Difference-in-differences analyses of nationwide school health checkup database","authors":"Yusuke Okubo,&nbsp;Kazue Ishitsuka,&nbsp;Atsushi Goto","doi":"10.1111/ijpo.13126","DOIUrl":"10.1111/ijpo.13126","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>The COVID-19 pandemic posed tremendous challenges for children. However, the long-term effects of the pandemic on various aspects of physical health at a national level remain unclear.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>In this retrospective cohort study, we analysed data from nationwide health checkup records amongst children aged 7–15 years. The dataset comprised 3 544 146 records from 393 794 individuals who graduated from junior high school during fiscal years 2007 to 2022. Difference-in-differences (DID) analyses with multiple time periods were used to examine the impact of COVID-19 on physical health outcomes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Compared with the pre-pandemic period, the COVID-19 pandemic was associated with excess increases in obesity for boys and girls, persisting over the 3 years (+0.42%; [95% CI, 0.23–0.61]). Also, it was associated with excess increases in underweight (+0.28% [0.25–0.32]) and poor visual acuity amongst boys in the 3rd year (+1.80% [1.30–2.30]). There were excess reductions in dental caries (−1.48% [−2.01 to −0.95]), glucosuria (−0.55 [−0.88 to −0.23]) and hematuria (−0.43% [−0.73 to −0.13]) during the 3rd year of the pandemic.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>These findings underscore the multifaceted impact of the pandemic on various health indicators for school-aged children. This information could be valuable for public health policy and paediatric healthcare planning in the post-pandemic era.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"19 7","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140896325","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":"Exploring the association between internalized weight bias and mental health among Canadian adolescents","authors":"Kristen M. Lucibello,&nbsp;Gary S. Goldfield,&nbsp;Angela S. Alberga,&nbsp;Scott T. Leatherdale,&nbsp;Karen A. Patte","doi":"10.1111/ijpo.13118","DOIUrl":"10.1111/ijpo.13118","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Internalized weight bias (IWB) has been identified as a correlate of higher depressive and anxiety symptoms in adolescents with higher weights. However, there has been limited investigation into how IWB relates to positive mental health and whether these associations differ across genders.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>To examine the associations between IWB and mental health (depression, anxiety, flourishing) in adolescents with higher weights, and to test the potential moderating role of gender.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Canadian adolescents with higher weights (<i>N</i> = 7538, 60% boys, 36% girls, 4% gender diverse, ages 12–19) from the COMPASS study completed a survey during the 2021–2022 school year. Data were analysed using generalized linear models.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Highest IWB and poorest mental health were noted within gender diverse adolescents, followed by girls then boys. Gender moderated the relationship between higher IWB and higher depression, higher anxiety and lower flourishing, with the strongest relationships noted among girls.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>IWB interventions should be tailored to gender subgroups that may be particularly vulnerable to maladaptive mental health outcomes associated with IWB. System-level changes that mitigate perpetuation of weight bias and discrimination which lead to IWB are also essential, particularly for girls.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"19 7","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.13118","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140810904","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":"Prediction of resting energy expenditure for adolescents with severe obesity: A multi-centre analysis","authors":"Amy A. Rydin,&nbsp;Cameron Severn,&nbsp;Laura Pyle,&nbsp;Nazeen Morelli,&nbsp;Ashley H. Shoemaker,&nbsp;Stephanie T. Chung,&nbsp;Jack A. Yanovski,&nbsp;Joan C. Han,&nbsp;Janine A. Higgins,&nbsp;Kristen J. Nadeau,&nbsp;Claudia Fox,&nbsp;Aaron S. Kelly,&nbsp;Melanie G. Cree","doi":"10.1111/ijpo.13123","DOIUrl":"10.1111/ijpo.13123","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background and Objectives</h3>\u0000 \u0000 <p>Resting energy expenditure (REE) assessments can help inform clinical treatment decisions in adolescents with elevated body mass index (BMI), but current equations are suboptimal for severe obesity. We developed a predictive REE equation for youth with severe obesity and obesity-related comorbidities and compared results to previously published predictive equations.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Data from indirect calorimetry, clinical measures, and body composition per Dual x-ray absorptiometry (DXA) were collected from five sites. Data were randomly divided into development (<i>N</i> = 438) and validation (<i>N</i> = 118) cohorts. A predictive equation was developed using Elastic Net regression, using sex, race, ethnicity, weight, height, BMI percent of the 95th%ile (BMIp95), waist circumference, hip circumference, waist/hip ratio, age, Tanner stage, fat and fat-free mass. This equation was verified in the validation cohort and compared with 11 prior equations.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Data from the total cohort (<i>n</i> = 556, age 15 ± 1.7 years, 77% female, BMIp95 3.3 ± 0.94) were utilized. The best fit equation was REE = −2048 + 18.17 × (Height in cm) – 2.57 × (Weight in kg) + 7.88 × (BMIp95) + 189 × (1 = male, 0 = female), <i>R</i>² = 0.466, and mean bias of 23 kcal/day.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>This new equation provides an updated REE prediction that accounts for severe obesity and metabolic complications frequently observed in contemporary youth.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"19 7","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140662939","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}