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意大利儿科人群的儿童期体重指数轨迹与社会人口学因素

Childhood BMI trajectories and sociodemographic factors in an Italian pediatric population.

作者信息

Batzella Erich, Gutierrez de Rubalcava Doblas Joaquin, Porcu Gloria, Bressan Silvia, Barbieri Elisa, Giaquinto Carlo, Cantarutti Anna, Canova Cristina

机构信息

Unit of Biostatistics, Epidemiology and Public Health, Department of Cardio-Thoraco- Vascular Sciences and Public Health, University of Padua, Padua, Italy.

Division of Paediatric Diabetes and Childhood Metabolic Diseases, Department for Women's and Children's Health, University of Padua, Padua, Italy.

出版信息

Sci Rep. 2025 Jan 28;15(1):3525. doi: 10.1038/s41598-025-87997-3.

Abstract

Childhood obesity is a growing global concern due to its long-term health consequences. Yet, more research relying on multiple time-point BMI measurements is warranted to gain further insight into obesity's temporal trends. We aimed to identify BMI trajectories in children aged 2-10 years and evaluate their association with sociodemographic factors. This retrospective cohort study utilized data from the PEDIANET registry, containing sociodemographic, clinical, and prescribing information on patients assisted by Italian family pediatricians, linked to the corresponding area deprivation index. 29,576 children with at least 10 years of follow-up, born at term with normal birthweight, and at least three plausible BMI measurements were identified. BMI z-score trajectories were calculated using Group-Based Trajectory Modeling, and mixed multinomial logistic regression was used to assess their association with the sociodemographic factors. A secondary analysis examined BMI trajectories from ages 2-7 years (n = 58,509). Four BMI z-scores trajectories, all with quadratic shape, were identified as the optimal fit: "stable-low-weight" (27.5%), "normal-weight" (40.9%), "stable-moderate-increase" (24.2%), and "overweight-to-obese" (7.5%). Females, children residing in Southern and Island regions, and those from more deprived socioeconomic areas had a higher probability of following the "overweight-to-obese" group compared to the "normal-weight" trajectory. Sex and area of residence had similar effects on the "stable-moderate-increase" trajectory. Conversely, females and children residing in Central Italy were less likely to belong to the "stable-low-weight trajectory". This study highlighted a considerable heterogeneity in BMI trajectories in pediatric age, emphasizing the effect of sociodemographic inequalities on growth patterns with models capable of capturing the dynamic nature of the phenomenon.

摘要

儿童肥胖因其长期健康后果而日益成为全球关注的问题。然而,需要更多依赖多个时间点BMI测量的研究,以进一步深入了解肥胖的时间趋势。我们旨在确定2至10岁儿童的BMI轨迹,并评估其与社会人口学因素的关联。这项回顾性队列研究利用了PEDIANET登记处的数据,其中包含意大利家庭儿科医生诊治患者的社会人口学、临床和处方信息,并与相应的地区贫困指数相关联。共识别出29576名至少有10年随访期、足月出生且出生体重正常、至少有三次合理BMI测量值的儿童。使用基于组的轨迹模型计算BMI z评分轨迹,并使用混合多项逻辑回归评估其与社会人口学因素的关联。一项二次分析研究了2至7岁儿童的BMI轨迹(n = 58509)。确定了四条均为二次形状的BMI z评分轨迹为最佳拟合:“稳定低体重”(27.5%)、“正常体重”(40.9%)、“稳定中度增加”(24.2%)和“超重至肥胖”(7.5%)。与“正常体重”轨迹相比,女性、居住在南部和岛屿地区的儿童以及来自社会经济较贫困地区的儿童更有可能属于“超重至肥胖”组。性别和居住地区对“稳定中度增加”轨迹有类似影响。相反,女性和居住在意大利中部的儿童不太可能属于“稳定低体重轨迹”。这项研究突出了儿童期BMI轨迹的显著异质性,强调了社会人口学不平等对生长模式的影响,所采用的模型能够捕捉该现象的动态本质。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3064/11775260/495a873fe0bb/41598_2025_87997_Fig1_HTML.jpg

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