Pediatric Obesity最新文献

{"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}

{"title":"FirstStep2Health: A cluster randomised trial to promote healthy behaviours and prevent obesity amongst low-income preschoolers","authors":"Jiying Ling,&nbsp;Wachira Suriyawong,&nbsp;Lorraine B. Robbins,&nbsp;Nanhua Zhang,&nbsp;Jean M. Kerver","doi":"10.1111/ijpo.13122","DOIUrl":"10.1111/ijpo.13122","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>To evaluate the preliminary effects of a theory-based, multi-component intervention on improving healthy lifestyle behaviours and preventing obesity amongst low-income preschoolers.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A cluster randomised controlled trial was conducted at 10 daycare centres. The 16-week FirstStep2Health intervention, grounded in the Actor-Partner Interdependence Model and the Social Cognitive Theory, included five components: a Facebook-based parent programme, three virtual parent meetings, three weekly motivational text messages, parent–child learning via weekly child letters and daycare centre-based child programme.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>A total of 95 preschoolers (53 intervention and 42 control) participated. Preschoolers' mean age was 49.27 months, with 57.9% being female, 12.6% being Hispanic and 40% being African American. The intervention significantly decreased intervention preschoolers' fat intake (<i>B</i> = −33.76, <i>p</i> = 0.047) and % body fat (<i>B</i> = −1.18, <i>p</i> = 0.036) compared to the control. During year 2, there were significant intervention effects on increasing skin carotenoids (<i>B</i> = 87.06, <i>p</i> = 0.035). Although not statistically significant, the intervention showed positive effects on increasing preschoolers' fruit/vegetable intake; and decreasing screen time, body mass index z-score and proportion of overweight/obesity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Even with some potential limitations (small sample size, measurement concerns and confounding with Coronavirus Disease 2019 pandemic), the study's results support the preliminary efficacy of the FirstStep2Health intervention in preventing obesity amongst low-income racially diverse preschoolers.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"19 7","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.13122","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140613953","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":"Infant feeding practices and body mass index up to 7.5 years in the French nationwide ELFE study","authors":"Aurore Camier,&nbsp;Aminata Hallimat Cissé,&nbsp;Barbara Heude,&nbsp;Sophie Nicklaus,&nbsp;Claire Chabanet,&nbsp;Jonathan Y. Bernard,&nbsp;Sandrine Lioret,&nbsp;Marie Aline Charles,&nbsp;Blandine de Lauzon-Guillain","doi":"10.1111/ijpo.13121","DOIUrl":"10.1111/ijpo.13121","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background/Objectives</h3>\u0000 \u0000 <p>The infant diet represents one of the main modifiable determinants of early growth. This study aimed to investigate the associations of infant feeding practices with body mass index (BMI) until 7.5 years.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Subjects/Methods</h3>\u0000 \u0000 <p>Analyses were based on data from the French nationwide ELFE birth cohort. Data on breastfeeding (BF) and complementary feeding (CF) were collected monthly from 2 to 10 months. Infant feeding practices were characterized using principal component analyses (PCA) and hierarchical ascendant classification. BMI z-score was computed at 1, 2, 3, 5 and 7.5 years, from data collected in the child's health booklet; 7.5-year overweight was defined according to IOTF references. Associations between infant feeding practices and BMI were investigated by linear regression models adjusted for main confounders.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Ever breastfeeding was not associated with BMI up to 7.5 years. Compared to intermediate breastfeeding duration (1 to &lt;3 months), longer breastfeeding duration (≥6 months) was related to lower 1-year BMI, but not at older ages. Compared to the recommended age at CF introduction (4–6 months), early CF (&lt;4 months) was related to higher BMI up to 5 years with a similar trend at 7.5 years, but not to the risk of overweight. The PCA patterns characterized by early baby cereal introduction and late food pieces introduction or by frequent intake of main food groups were related to a lower BMI up to 7.5 years.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Breastfeeding was related with a lower BMI in infancy but not thereafter, whereas an early CF initiation (&lt;4 months) was associated with a higher BMI in childhood.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"19 7","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140614073","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 role of mesenchymal stem cells in early programming of adipose tissue in the offspring of women with obesity","authors":"Sofía Bellalta,&nbsp;Torsten Plösch,&nbsp;Marijke Faas,&nbsp;Paola Casanello","doi":"10.1111/ijpo.13120","DOIUrl":"10.1111/ijpo.13120","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <p>Maternal obesity is a well-known risk factor for developing premature obesity, metabolic syndrome, cardiovascular disease and type 2 diabetes in the progeny. The development of white adipose tissue is a dynamic process that starts during prenatal life: fat depots laid down in utero are associated with the proportion of fat in children later on. How early this programming takes place is still unknown. However, recent evidence shows that mesenchymal stem cells (MSC), the embryonic adipocyte precursor cells, show signatures of the early setting of an adipogenic committed phenotype when exposed to maternal obesity. This review aims to present current findings on the cellular adaptations of MSCs from the offspring of women with obesity and how the metabolic environment of MSCs could affect the early commitment towards adipocytes. In conclusion, maternal obesity can induce early programming of fetal adipose tissue by conditioning MSCs. These cells have higher expression of adipogenic markers, altered insulin signalling and mitochondrial performance, compared to MSCs of neonates from lean pregnancies. Fetal MSCs imprinting by maternal obesity could help explain the increased risk of childhood obesity and development of further noncommunicable diseases.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"19 6","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.13120","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140577091","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":"Understanding family dynamics of obesity: Do parents and children lose and gain weight together?","authors":"Karina M. Chan,&nbsp;Sarra M. Rahem,&nbsp;Hugo O. Teo,&nbsp;Joan Curcio,&nbsp;Savi Mushiyev,&nbsp;Robert Faillace,&nbsp;Risa Bochner,&nbsp;Renee Bargman,&nbsp;Farbod Raiszadeh","doi":"10.1111/ijpo.13097","DOIUrl":"10.1111/ijpo.13097","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Obesity is prevalent among children and adults. Yet, understanding the relationship between parent and child weight trajectories is limited.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>(1) Examine the association between parent/child undesirable body mass index (BMI) category change. (2) Assess whether parental BMI category predicts child modified BMI z-score (mBMIz) annual change.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We conducted a cross-sectional study of weight trajectories of 3821 parent–child dyads between March 2020 and December 2021 within the NYC Health + Hospitals system. Undesirability of child and parental BMI category change and the magnitude of mBMIz change by parental BMI are analysed.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Of 3821 children (mean [SD] baseline age, 9.84 [3.51]), 1889 were female. Of the 3220 parents (mean [SD] baseline age, 39.9 [8.51]), 2988 were female. Most children (53.52%) and parents (81.94%) presented with overweight and obesity. Undesirable BMI change in children was associated with concordant change in parents (adjusted OR: 1.7, 95% CI [1.45, 2.01], adjusted <i>p</i> &lt; 0.001). Children of parents with obesity (adjusted coef: 0.076, 95% CI [0.004, 0.147], <i>p</i> &lt; 0.038) and severe obesity (adjusted coef: 0.1317, 95% CI [0.024, 0.239], adjusted <i>p</i> &lt; 0.016) demonstrated greater change in mBMIz than those of parents with normal weight or underweight.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Parents and children have concordant weight trajectories, and public health interventions targeting both populations are essential.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"19 6","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140577230","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":"Cumulative environmental stress and emerging cardiometabolic risk during childhood","authors":"Alicia S. Kunin-Batson,&nbsp;Jacob Haapala,&nbsp;A. Lauren Crain,&nbsp;Megan R. Gunnar,&nbsp;Elyse O. Kharbanda,&nbsp;Aaron S. Kelly,&nbsp;Elisabeth M. Seburg,&nbsp;Nancy E. Sherwood,&nbsp;Simone A. French","doi":"10.1111/ijpo.13116","DOIUrl":"10.1111/ijpo.13116","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>To prospectively evaluate the relationship between cumulative environmental stress and cardiometabolic risk in middle childhood, and to examine whether hair cortisol, a measure of hypothalamic pituitary adrenal-axis activity, mediates this relationship.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>In a cohort of children from low-income households (<i>n</i> = 320; 59% Hispanic, 23% Black, body mass index (BMI) percentile &gt;50th at enrollment), environmental stressors including family and neighbourhood factors representing disadvantage/deprivation, and cortisol concentrations from hair samples, were measured over five timepoints beginning when children were 2–4 years old. Cardiometabolic risk factors (i.e., BMI, blood pressure, lipids, blood sugar, C-reactive protein) were measured at the final timepoint when children were 7–11 years of age.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>In adjusted logistic regression models, greater cumulative environmental stress was associated with a higher likelihood of elevated cardiometabolic risk in middle childhood (<i>p</i> = 0.01). Children from minoritized racial/ethnic groups had a higher prevalence of both stressors and cardiometabolic risk factors. Cumulative environmental stress was associated with higher hair cortisol concentrations (<i>p</i> &lt; 0.01). However, hair cortisol was not directly associated with cardiometabolic risk factors and did not explain the association between environmental stress and cardiometabolic risk in causal mediation analysis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The influence of cumulative stress on cardiometabolic health can be observed in middle childhood and may contribute to cardiometabolic health disparities, highlighting the importance of public health interventions to mitigate disadvantage.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"19 6","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.13116","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140317409","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":"Identifying elevated child weight from 3 to 24 months: Early transitions into nonparental care and to solid foods","authors":"Jennifer M. Barton,&nbsp;Alexandra Lundquist,&nbsp;Meghan C. Fisher,&nbsp;Barbara H. Fiese,&nbsp;Brent A. McBride","doi":"10.1111/ijpo.13115","DOIUrl":"10.1111/ijpo.13115","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Early entry into nonparental care (NPC) and introduction to solid foods (ITS) have been linked to elevated weight, however, little research exists on the combined influence of these transitions on child weight over time.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>Identify groups of children based on early NPC and ITS timing and examine whether NPC-ITS groups differentially affect child weight over time.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Method</h3>\u0000 \u0000 <p>Data were drawn from STRONG Kids2 (<i>n</i> = 468). Primary predictors include NPC (by 3M)-ITS (&lt; or ≥6M) groups; outcome variables include child weight-for-length/height z-scores (WFL/WFHz) (3, 12, 18, and 24 months). Multilevel regression was used to examine the NPC-ITS groups as predictors of child WFL/WFHz.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Six groups were identified: 27% Parental Care-ITS before 6M, 31% Parental Care-ITS after 6M, 12% Daycare-ITS before 6M, 14% Daycare-ITS after 6M, 10% Kincare-ITS before 6M, and 7% Kincare-ITS after 6M. Children who were in daycare (regardless of ITS) or kincare-ITS before 6M demonstrated the highest WFL/WFHz over time, compared to their parental care counterparts.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>NPC-ITS combinations on child WFL/WFHz across the first 2 years of life highlight the need for a partnership approach among parental and nonparental caregivers to support the feeding of infants throughout the transition to solid foods.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"19 6","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.13115","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140192873","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}