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从童年到中年的体重指数轨迹及其社会人口学预测因素:来自国际儿童心血管队列(i3C)联盟的证据。

Body-mass index trajectories from childhood to mid-adulthood and their sociodemographic predictors: Evidence from the International Childhood Cardiovascular Cohort (i3C) Consortium.

作者信息

Cleland Verity, Tian Jing, Buscot Marie-Jeanne, Magnussen Costan G, Bazzano Lydia, Burns Trudy L, Daniels Stephen, Dwyer Terence, Hutri-Kahonen Nina, Ikonen Johanna, Jacobs David, Juonala Markus, Prineas Ronald, Raitakari Olli, Sinaiko Alan, Steinberger Julia, Urbina Elaine M, Woo Jessica G, Venn Alison

机构信息

Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool Street, Hobart, Tasmania 7000, Australia.

Centre for Population Health Research and Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku and Turku University Hospital, Turku, Finland.

出版信息

EClinicalMedicine. 2022 May 12;48:101440. doi: 10.1016/j.eclinm.2022.101440. eCollection 2022 Jun.

Abstract

BACKGROUND

Understanding lifecourse trajectories of body-mass index (BMI) is important for identifying groups at high risk of poor health and potential target points for intervention. This study aimed to describe BMI trajectories from childhood to mid-adulthood in four population-based cohorts established in the 1970s and 1980s and to identify childhood sociodemographic factors related to trajectory membership.

METHODS

Between Dec 17, 1970 and Dec 15, 1994, data were collected at the first visit from 9830 participants from the International Childhood Cardiovascular Cohort (i3C) Consortium, which includes participants from Australia (1985), Finland (1980) and the USA (1970-1994). Participants had at least three measures of height and weight, including one in childhood (6-18 years) and one in adulthood (>18 years), and were aged 30-49 years at last measurement. Latent Class Growth Mixture Modelling was used to identify lifecourse BMI trajectory groups and log multinomial regression models were fit to identify their childhood sociodemographic predictors.

FINDINGS

Five consistent BMI trajectory groups were identified amongst the four cohorts: persistently low (35.9-58.6%), improving from high (0.7-4.8%), progressing to moderate (9.3-43.7%), progressing to high (1.1-6.0%), and progressing to very high (0.7-1.3%). An additional three BMI trajectory groups were identified in some, but not all, cohorts: adult onset high (three cohorts; 1.8-20.7%), progressing to moderate-high (two cohorts; 5.2-13.8%), and relapsing yo-yoers (alternating upward and downward; one cohort; 1.3%). In pooled analyses, each predictor variable in childhood, including age, gender, parental education and race, was associated with increased likelihood of belonging to the most (e.g., improving from high) and least (e.g., progressing to very high) favourable BMI trajectory groups, suggesting a U-shaped (or inverse U-shaped) pattern of association.

INTERPRETATION

Five consistent BMI trajectory groups were identified across four cohorts from Australia, Finland, and the USA, mainly across two eras of birth. While most participants remained on a persistently low trajectory (50%), many demonstrated worsening BMI trajectories (47%), with only few demonstrating improving trajectories (<5%). Age, gender, parental education, and race appear to be important predictors of BMI trajectory group membership and need consideration in preventive and management strategies.

FUNDING

This study was supported by funding from the National Institutes of Health, National Heart, Lung and Blood Institute (grant number R01 HL121230).

摘要

背景

了解体重指数(BMI)的生命历程轨迹对于识别健康状况不佳风险较高的群体以及潜在的干预靶点至关重要。本研究旨在描述20世纪70年代和80年代建立的四个基于人群的队列中从童年到中年的BMI轨迹,并确定与轨迹类别相关的儿童社会人口学因素。

方法

1970年12月17日至1994年12月15日期间,从国际儿童心血管队列(i3C)联盟的9830名参与者首次访视时收集数据,该联盟包括来自澳大利亚(1985年)、芬兰(1980年)和美国(1970 - 1994年)的参与者。参与者至少有三次身高和体重测量,包括一次童年时期(6 - 18岁)和一次成年时期(>18岁),最后一次测量时年龄为30 - 49岁。使用潜在类别增长混合模型来识别生命历程BMI轨迹组,并拟合对数多项回归模型以识别其童年社会人口学预测因素。

结果

在四个队列中确定了五个一致的BMI轨迹组:持续低水平(35.9 - 58.6%)、从高水平改善(0.7 - 4.8%)、进展到中等水平(9.3 - 43.7%)、进展到高水平(1.1 - 6.0%)以及进展到非常高水平(0.7 - 1.3%)。在部分但并非所有队列中还确定了另外三个BMI轨迹组:成年期开始升高(三个队列;1.8 - 20.7%)、进展到中等偏高水平(两个队列;5.2 - 13.8%)以及反复波动者(上下交替;一个队列;1.3%)。在汇总分析中,童年时期的每个预测变量,包括年龄、性别、父母教育程度和种族,与属于最有利(例如,从高水平改善)和最不利(例如,进展到非常高水平)BMI轨迹组的可能性增加相关,表明存在U形(或倒U形)关联模式。

解读

在来自澳大利亚、芬兰和美国的四个队列中,主要跨越两个出生年代,确定了五个一致的BMI轨迹组。虽然大多数参与者保持在持续低水平轨迹(50%),但许多人表现出BMI轨迹恶化(47%),只有少数人表现出改善轨迹(<5%)。年龄、性别、父母教育程度和种族似乎是BMI轨迹组成员的重要预测因素,在预防和管理策略中需要考虑。

资金

本研究由美国国立卫生研究院国家心脏、肺和血液研究所提供资金支持(资助编号R01 HL121230)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11f4/9112099/32f9faaae835/gr1.jpg

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