Pediatric Obesity最新文献

{"title":"Early life factors and hippocampal functional connectivity in children with overweight/obesity","authors":"Patricio Solis-Urra,&nbsp;Irene Esteban-Cornejo,&nbsp;Jose Mora-Gonzalez,&nbsp;Chelsea Stillman,&nbsp;Oren Contreras-Rodriguez,&nbsp;Kirk I. Erickson,&nbsp;Andrés Catena,&nbsp;Francisco B. Ortega","doi":"10.1111/ijpo.12998","DOIUrl":"https://doi.org/10.1111/ijpo.12998","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>We investigated the association of anthropometric neonatal data (birth length and birth weight) and breastfeeding practices (exclusive and any breastfeeding) with hippocampal functional connectivity and its academic implication in children with overweight/obesity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Ninety six children with overweight/obesity aged 8–11 years (10.01 ± 1.14), from the ActiveBrains project were included in this cross-sectional study. Anthropometric neonatal data were collected from birth records, whereas breastfeeding practices were reported by parents. A 3.0 Tesla Siemens Magnetom Tim Trio system was used to acquire T1-weighted and resting-state functional magnetic resonance images. Academic performance was assessed by the Woodcock-Muñoz standardized test. Hippocampal seed-based methods with post-hoc regression analyses were performed. Analyses were considered significant when surpassing Family-Wise Error corrections.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Birth weight showed a positive association with the connectivity between the hippocampus and the pre- and postcentral gyri, and the cerebellum. In addition, breastfeeding was negatively associated with the connectivity between the hippocampus and the primary motor cortex and the angular gyrus. Any breastfeeding, in turn, showed a positive association with the connectivity between the hippocampus and the middle temporal gyrus. None of the connectivity outcomes related to early life factors was coupled with better academic abilities (all <i>p</i> &gt; 0.05).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Our findings suggest that birth weight at birth and breastfeeding are associated with hippocampal connectivity in children with overweight/obesity. Despite this, how the results relate to academic performance remains a matter of speculation. Our findings suggest that clinicians should recognize the importance early life factors for potentially avoiding consequences on offspring's brain development.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"18 3","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"5845404","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":"Maternal BMI in the preconception period, and association with child zBMI growth rates","authors":"Arin C. Deveci,&nbsp;Charles D. G. Keown-Stoneman,&nbsp;Jonathon L. Maguire,&nbsp;Deborah L. O'Connor,&nbsp;Laura N. Anderson,&nbsp;Cindy-Lee Dennis,&nbsp;Catherine S. Birken,&nbsp;for the TARGet Kids! Collaboration","doi":"10.1111/ijpo.12999","DOIUrl":"https://doi.org/10.1111/ijpo.12999","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Elevated body mass index (BMI) and rapid growth in early childhood are important predictors of obesity risk. The association between maternal preconception BMI and child growth rates is unclear.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>To assess the association between measured maternal preconception BMI and child age- and sex- standardized WHO BMI z-score (zBMI) growth rates and mean zBMI, in children aged 0–10 years old.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A longitudinal cohort study was conducted with children (<i>n</i> = 499) enrolled in The Applied Research Group for Kids (TARGet Kids!) primary care practice-based research cohort. Maternal BMI was measured during the preconception period, defined as the 2 years prior to pregnancy. Repeated measures of child weight and height were obtained between 0 and 10 years of age. Linear mixed models were used to evaluate the association between maternal BMI and child zBMI growth rates and mean zBMI.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Maternal preconception BMI was associated with child zBMI growth rate during some growth periods, with the strongest association from age 0 to 4 months; a 5 kg/m2 higher maternal BMI was associated with 0.031 zBMI SD unit/mo higher growth rate (<i>p</i> = 0.004), and 0.186 SD unit higher mean child zBMI (<i>p</i> = 0.0002).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Maternal preconception BMI was associated with growth rate and mean zBMI in early childhood. The preconception period may be an important target for health interventions to promote healthy child growth rate and weight outcomes.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"18 4","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"5818401","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 long-term effects of primary school-based obesity prevention interventions in children: A systematic review and meta-analysis","authors":"Michel S. Smit,&nbsp;Mirte Boelens,&nbsp;Famke J. M. M?lenberg,&nbsp;Hein Raat,&nbsp;Wilma Jansen","doi":"10.1111/ijpo.12997","DOIUrl":"https://doi.org/10.1111/ijpo.12997","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>This systematic review and meta-analysis investigate the long-term effects of primary school-based obesity prevention interventions on body-mass index (and z-scores), waist circumference (and z-scores) and weight status.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Four databases were searched for studies from date of inception until June 8th, 2021. We included randomized controlled trials (RCT) and non-RCTs investigating effects ≥12 months post-intervention of primary school-based interventions with intervention duration ≥6 months and containing a diet and/or physical activity component on outcomes of interest. Articles were assessed on risk of bias and methodological quality by RoB2 and ROBINS-I. Meta-analysis was performed and results were narratively summarized. Evidence quality was assessed with GRADE.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Nineteen studies were included, 9 were pooled in a meta-analysis. No long-term effects were found on body-mass index (+0.06 kg/m²; CI95% = −0.38, 0.50; <i>I</i>² = 66%), body-mass index z-scores (−0.08; CI95% = −0.20, 0.04; <i>I</i>² = 36%), and waist circumference (+0.57 cm; CI95% = −0.62, 1.75; <i>I</i>² = 13%). Non-pooled studies reported mixed findings regarding long-term effects on body-mass index, body-mass index z-scores and weight status, and no effects on waist circumference and waist circumference z-scores. Evidence certainty was moderate to very low.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Discussion</h3>\u0000 \u0000 <p>No clear evidence regarding long-term effects of primary school-based interventions on obesity-related outcomes was found. Recommendations for further research and policy are discussed.</p>\u0000 \u0000 <p>Prospero registration ID: CRD42021240446.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"18 3","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.12997","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"5647122","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":"Maternal insulin resistance and maternal β-cell function during pregnancy for offspring overweight before 2 years of age among women with gestational diabetes","authors":"Ming Gao,&nbsp;Hui Wang,&nbsp;Weiqin Li,&nbsp;Leishen Wang,&nbsp;Ninghua Li,&nbsp;Yijuan Qiao,&nbsp;Tao Zhang,&nbsp;Jing Li,&nbsp;Zhijie Yu,&nbsp;Gang Hu,&nbsp;Junhong Leng,&nbsp;Xilin Yang","doi":"10.1111/ijpo.12995","DOIUrl":"https://doi.org/10.1111/ijpo.12995","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>To explore associations of maternal insulin resistance and β-cell dysfunction with offspring overweight before 24 months of age among children of Chinese women with gestational diabetes mellitus (GDM).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Offspring of women with GDM (<i>n</i> = 901) who were enrolled in a lifestyle trial during pregnancy were followed up to 24 months of age in Tianjin, China. Restricted cubic spline analysis was performed to examine full-range associations of maternal homeostatic model assessment of insulin resistance (HOMA-IR) and β-cell function (HOMA-%β) with childhood overweight. Logistic regression was performed to obtain the odds ratios (ORs) and 95% confidence interval (CI) of maternal high HOMA-IR and low HOMA-%β at diagnosis of GDM for offspring overweight within 12 months of age and at 13–24 months of age.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Maternal high HOMA-IR was associated with an increased risk of offspring being overweight within 12 months of age and at 13–24 months of age (OR: 1.71, 95%CI: 1.12–2.62 &amp; 1.89, 1.13–3.17, respectively). Maternal low HOMA-%β was associated with an increased risk of offspring being overweight at 13–24 months of age (1.64, 1.05–2.55).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Both maternal increased insulin resistance and decreased β-cell function at diagnosis of GDM were associated with elevated risk of offspring overweight in early childhood among Chinese women with GDM.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"18 3","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"5697127","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":"Trends in U.S. adolescent physical activity and obesity: A 20-year age-period-cohort analysis","authors":"Travis Loux,&nbsp;Morgan Matusik,&nbsp;Asja Hamzic","doi":"10.1111/ijpo.12996","DOIUrl":"https://doi.org/10.1111/ijpo.12996","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Adolescent obesity can lead to long-term health problems and is a topic of major concern in pediatric and broader medical and public health spheres. Numerous national and state-wide initiatives aimed at increasing physical activity and/or improving nutrition in this age group have assumed the goal of reducing the prevalence adolescent obesity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>We assess trends in U.S. adolescent physical activity and body mass index between 1999 and 2019.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Using data from the U.S. Youth Risk Behaviour Surveillance System, we analyse data from 144 544 14-to-18-year-old respondents. We use multilevel linear and logistic regression to perform age-period-cohort analyses attributing changes in physical activity and body mass index over time to these three sources.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Age and period effects are strong in all outcomes studied. Physical activity consistently decreases with age across the study period. Age trends in obesity have reversed in recent years, with older adolescents now more likely to be have obesity than younger adolescents. Both female and Asian adolescents report less physical activity but lower rates of obesity than their male and non-Asian counterparts.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The reversal of obesity trends by age with little change in physical activity over the study period suggests other lifestyle factors have changed over the study period to increase the prevalence of obesity in older adolescents.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"18 3","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"6226806","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":"Trends in school-neighbourhood inequalities and youth obesity: Repeated cross-sectional analyses of the public schools in the state of California","authors":"Mika Matsuzaki,&nbsp;Emma V. Sanchez-Vaznaugh,&nbsp;Kelsey Alexovitz,&nbsp;Maria E. Acosta,&nbsp;Brisa N. Sánchez","doi":"10.1111/ijpo.12991","DOIUrl":"https://doi.org/10.1111/ijpo.12991","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>It is currently unknown whether the relationship between affluence of school neighbourhoods and prevalence of youth overweight/obesity is uniform across demographic subgroups and areal context in the United States.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We examined association between school-neighbourhood income tertiles and school-level overweight/obesity (OVOB) prevalence, using data on body mass index of fifth, seventh, and nineth graders who attended public schools in California in 2001 and 2010 (<i>n</i> = 1 584 768), using multiple logistic regression models.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Overall, OVOB prevalence was higher in lower-income school neighbourhoods, with a steeper income-OVOB gradient for girls. Among boys, the gradient became steeper in 2010 than 2000. Among Asian and White girls, the negative gradients were steepest in rural areas. For African–American students in all areas and Latino boys in rural areas, there was less clear evidence of inverse income-OVOB gradients. Addition of fast-food restaurant availability to the models did not change the observed inverse school-neighbourhood income–obesity gradients.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The findings suggest the needs to investigate reasons for this variability with consideration to combinations of sociodemographic, economic, and environmental risk factors that may contribute to disparities in childhood obesity.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"18 3","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.12991","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"5845096","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":"An addiction-based digital weight loss intervention: A multi-centre randomized controlled trial","authors":"Alaina P. Vidmar,&nbsp;Sarah J. Salvy,&nbsp;Choo Phei Wee,&nbsp;Robert Pretlow,&nbsp;D. Steven Fox,&nbsp;Jennifer K. Yee,&nbsp;Cambria Garell,&nbsp;Suzette Glasner,&nbsp;Steven D. Mittelman","doi":"10.1111/ijpo.12990","DOIUrl":"https://doi.org/10.1111/ijpo.12990","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>This randomized clinical trial tested the effectiveness of an addiction-based digital weight-loss intervention, focusing on withdrawal/abstinence from self-identified problem foods, snacking and excessive amounts at meals, and discomfort displacement, with and without coaching, compared to an in-person, multi-disciplinary, care model among adolescents with obesity. We hypothesized that the digital intervention with coaching would yield greater weight loss and lower delivery burden than the standard clinical arm, and greater participant engagement than the digital arm without coaching.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Adolescents were randomized to app intervention, with or without coaching, or in-person multidisciplinary obesity intervention for 6 months. The primary outcome was change in %BMI_p95 at weeks 12 and 24. A mixed-effects linear regression model was used to assess the association between change in %BMI_p95 and intervention arm. We were also interested in assessing delivery burden, participant engagement and evaluating the relationships between weight change and demographic characteristics, mood, executive function and eating behaviours.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>All adolescents (<i>n</i> = 161; BMI ≥95th%, age 16 ± 2.5 year; 47% Hispanic, 65% female, 59% publicly insured) lost weight over 24-weeks (−1.29%, [−1.82, −0.76], <i>p</i> &lt; 0.0001), with no significant weight loss difference between groups (<i>p</i> = 0.3). Girls lost more weight than boys, whereas binge eating behaviour at baseline was associated with increase in %BMI_p95 when controlling for other covariates. There was no association between ethnicity, mood, timing of intervention in relation to the pandemic, or executive function and change in %BMI_p95.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Contrary with our hypothesis, our results showed no difference in the change in BMI status between treatment arms. Since efficacy of this digital intervention was not inferior to in-person, multi-disciplinary care, this could offer a reasonable weight management option for clinicians, based on youth and family specific characteristics, such as accessibility, resources, and communication styles.</p>\u0000 \u0000 <p><b>Clinical Trial Registration</b>: ClinicalTrials.gov identifier: NCT035008353</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"18 3","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.12990","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"6151047","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":"Self-regulation linking the quality of early parent–child relationship to adolescents' obesity risk and food consumption","authors":"Joo Hyun Kim,&nbsp;Kelly K. Bost","doi":"10.1111/ijpo.12993","DOIUrl":"https://doi.org/10.1111/ijpo.12993","url":null,"abstract":"The quality of parent–child relationships has been examined as a contributor to children's healthy behaviours and weight outcomes, but the mechanisms accounting for associations remain understudied.","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"18 3","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"6133332","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":"Perceived barriers in family-based behavioural treatment of paediatric obesity – Results from the FABO study","authors":"Hanna F. Skj?k?deg?rd,&nbsp;Sigurd Hystad,&nbsp;Ingvild Bruserud,&nbsp;Rachel P. K. Conlon,&nbsp;Denise Wilfley,&nbsp;Bente Frisk,&nbsp;Mathieu Roelants,&nbsp;Petur B. Juliusson,&nbsp;Yngvild S. Danielsen","doi":"10.1111/ijpo.12992","DOIUrl":"https://doi.org/10.1111/ijpo.12992","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>To date, few studies have investigated perceived barriers among those who participate in and drop out of family-based behavioural treatment (FBT) for paediatric obesity. Examining experienced barriers during treatment, and their role in participation and completion of treatment has important implications for clinical practice.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>To compare perceived barriers to participating in a family-based behavioural social facilitation treatment (FBSFT) for obesity among families who completed and did not complete treatment.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Data were analysed from 90 families of children and adolescents (mean (<i>M)</i> age = 12.8 years, standard deviation (<i>SD)</i> = 3.05) with severe obesity enrolled in a 17-session FBSFT program. After completing 12 sessions or at the time of dropout, parents and therapists completed the <i>Barriers to Treatment Participation Scale</i> (BTPS), a 5-point Likert scale (1 = never a problem, 5 = very often a problem) which includes four subscales: 1. <i>Stressors and obstacles that compete with treatment</i>, 2. <i>Treatment demands and issues</i>, 3. <i>Perceived relevance of treatment</i>, 4. <i>Relationship with the therapist</i>.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Families who did not complete treatment scored significantly higher on the BTPS subscales <i>stressors and obstacles that compete with treatment</i> (<i>M</i> = 2.03, <i>SD</i> = 0.53 vs. <i>M</i> = 1.70, <i>SD</i> = 0.42), <i>p</i> = 0.010 and <i>perceived relevance of treatment</i> (<i>M</i> = 2.27, <i>SD</i> = 0.48 vs. <i>M</i> = 1.80, <i>SD</i> = 0.50), <i>p</i> &lt; 0.001 than families who completed treatment. No other significant differences between groups were observed.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Families are more likely to drop out of FBSFT when experiencing a high burden from life stressors or when treatment is not meeting the expectations and perceived needs of the family.</p>\u0000 </section>\u0000 </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"18 3","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.12992","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"6077603","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":"Uric acid and gamma-glutamyl-transferase in children and adolescents with obesity: Association to anthropometric measures and cardiometabolic risk markers depending on pubertal stage, sex, degree of weight loss and type of patient care: Evaluation of the adiposity patient follow-up registry","authors":"Susann Weihrauch-Blüher,&nbsp;Susanna Wiegand,&nbsp;Paul Weihe,&nbsp;Nicole Prinz,&nbsp;Daniel Weghuber,&nbsp;Georg Leipold,&nbsp;Almut Dannemann,&nbsp;Lara Bergjohann,&nbsp;Thomas Reinehr,&nbsp;Reinhard W. Holl,&nbsp;for the APV study group","doi":"10.1111/ijpo.12989","DOIUrl":"https://doi.org/10.1111/ijpo.12989","url":null,"abstract":"&lt;div&gt;\u0000 \u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Objectives&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Associations between body mass index (BMI)- standard deviation score (SDS)/waist-to-height ratio (WHtR) were studied with (i) serum uric acid (sUA)/gamma-glutamyl-transferase (GGT) and (ii) cardiometabolic risk markers in children with obesity, considering sex, pubertal development, and degree of weight loss/type of patient care.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Methods&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;102 936 children from the Adiposity-Follow-up registry (APV; 47% boys) were included. Associations were analysed between sUA/GGT and anthropometrics, transaminases, lipids, fasting insulin (FI), homeostasis model assessment of insulin resistance (HOMA-IR), triglycerides to HDL-cholesterol (TG/HDL)-ratio.&lt;/p&gt;\u0000 \u0000 &lt;p&gt;Follow-up analyses (3–24 months after baseline) considered a BMI-SDS reduction ≥0.2 (&lt;i&gt;n&lt;/i&gt; = 11 096) or ≥0.5 (&lt;i&gt;n&lt;/i&gt; = 3728). Partialized correlation analyses for sex and BMI-SDS were performed, taking pubertal development into consideration.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Results&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;At baseline, BMI-SDS showed the strongest correlations to sUA (&lt;i&gt;r&lt;/i&gt; = 0.35; &lt;i&gt;n&lt;/i&gt; = 26 529), HOMA-IR/FI (&lt;i&gt;r&lt;/i&gt; = 0.30; &lt;i&gt;n&lt;/i&gt; = 5513 /&lt;i&gt;n&lt;/i&gt; = 5880), TG/HDL-ratio (&lt;i&gt;r&lt;/i&gt; = 0.23; &lt;i&gt;n&lt;/i&gt; = 24 501), and WHtR to sUA (&lt;i&gt;r&lt;/i&gt; = 0.32; &lt;i&gt;n&lt;/i&gt; = 10 805), GGT (&lt;i&gt;r&lt;/i&gt; = 0.34; &lt;i&gt;n&lt;/i&gt; = 11 862) and Alanine-aminotransferase (ALAT) (&lt;i&gt;r&lt;/i&gt; = 0.33; &lt;i&gt;n&lt;/i&gt; = 11 821), with stronger correlations in boys (WHtR and GGT: &lt;i&gt;r&lt;/i&gt; = 0.36, &lt;i&gt;n&lt;/i&gt; = 5793) and prepubertal children (&lt;i&gt;r&lt;/i&gt; = 0.36; &lt;i&gt;n&lt;/i&gt; = 2216). GGT and sUA (after partializing effects of age, sex, BMI-SDS) showed a correlation to TG/HDL-ratio (&lt;i&gt;r&lt;/i&gt; = 0.27; &lt;i&gt;n&lt;/i&gt; = 24 501).&lt;/p&gt;\u0000 \u0000 &lt;p&gt;Following a BMI-SDS reduction ≥0.2 or ≥0.5, GGT was most strongly related to Aspartate-aminotransferase (ASAT)/ ALAT, most evident in prepuberty and with increasing weight loss, and also to TG/HDL-ratio (&lt;i&gt;r&lt;/i&gt; = 0.22; &lt;i&gt;n&lt;/i&gt; = 1528). Prepubertal children showed strongest correlations between BMI-SDS/WHtR and GGT. ΔBMI-SDS was strongly correlated to ΔsUA (&lt;i&gt;r&lt;/i&gt; = 0.30; &lt;i&gt;n&lt;/i&gt; = 4160) and ΔGGT (&lt;i&gt;r&lt;/i&gt; = 0.28; &lt;i&gt;n&lt;/i&gt; = 3562), and ΔWHtR to ΔGGT (&lt;i&gt;r&lt;/i&gt; = 0.28; &lt;i&gt;n&lt;/i&gt; = 3562) (all p &lt; 0.0001).&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Conclusion&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Abdominal obesity may trigger hyperuricemia and hepatic involvement already in prepuberty. This may be stronger in infancy than anticipated to date. Even moderate weight loss has favourable effects on cardiometabolic risk profile and glucose homeostasis.&lt;/p&gt;\u0000 ","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"18 3","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.12989","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"6107891","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}