江苏10市0～5岁儿童肥胖现状及影响因素分析

doi:10.11852/zgetbjzz2024-0329

中国儿童保健杂志 ›› 2024, Vol. 32 ›› Issue (11): 1271-1276.DOI: 10.11852/zgetbjzz2024-0329

• 临床研究 • 上一篇

江苏10市0～5岁儿童肥胖现状及影响因素分析

李莉华^1*, 李归雁^2*, 秦锐³, 赵艳²

1.南京医科大学康达学院附属涟水人民医院临床营养科,江苏淮安 223400;
2.南京医科大学第一附属医院临床营养科;
3.南京医科大学第一附属医院江苏省妇幼保健院

收稿日期:2024-03-26 修回日期:2024-07-11 发布日期:2024-11-04 出版日期:2024-11-10
通讯作者: 赵艳,E-mail:zhaoyan@njmu.edu.cn;秦锐,E-mail: qinrui329@163.com
作者简介:李莉华(1987-),女,主治医师,硕士研究生,主要研究方向为营养与慢性病;李归雁(1990-),女,主治医师,硕士研究生,主要研究方向为肾病营养。注:^*共同第一作者。
基金资助:
江苏省人民医院临床能力提升工程项目(JSPH-MC-2021-26);江苏省卫生健康委员会预防医学科研课题(Ym2023038);江苏省营养学会2023营养专项研究资助项目(JYX2023019);江苏省妇幼保健重点学科(FXK201203)

Status quo of obesity and its influencing factors among children aged 0 - 5 in 10 cities in Jiangsu province

LI Lihua¹, LI Guiyan², QIN Rui³, ZHAO Yan²

1. Department of Clinical Nutrition, Lianshui People's Hospital Affiliated to Kangda College of Nanjing Medical University, Huai'an, Jiangsu 223400,China;
2. Department of Clinical Nutrition, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University;
3. Jiangsu Women and Children Health Hospital, The First Affiliated Hospital of Nanjing Medical University

Received:2024-03-26 Revised:2024-07-11 Online:2024-11-10 Published:2024-11-04
Contact: ZHAO Yan, E-mail:zhaoyan@njmu.edu.cn; QIN Rui, E-mail: qinrui329@163.com

摘要/Abstract

摘要： 目的了解江苏省0～5岁儿童肥胖现状及其影响因素,为0~5岁儿童肥胖的防治提供依据。方法采用分层整群随机抽样方法于2014年4月—2015年3月从江苏省10个城市招募0~5岁的儿童进行多中心大样本的抽样调查。通过自编的问卷,调查儿童的身高/身长、体重、性别、出生情况、地区、季节等信息。并通过多因素 Logistic 回归模型分析0~5岁儿童肥胖的影响因素。结果共调查5 284名0~5岁儿童,肥胖检出率为6.8%。0~＜1岁、1~＜2岁、2~＜3岁、3~＜4岁、4~＜5岁、5~＜6岁儿童肥胖检出率分别为7.7%、4.7%、4.0%、6.0%、7.1%、11.0%。多因素Logistic回归分析表明,与2~＜3岁相比,0～＜1岁、5～＜6岁儿童肥胖的风险更高(OR=1.982、2.202);男童、出生体重≥4 000g、调查时在冬季的儿童肥胖的风险更高(OR=1.581、1.600、2.109,P<0.05)。结论江苏省0~5岁儿童肥胖率处于较高水平。肥胖发生率与年龄、性别、出生体重、调查季节相关,应制定肥胖防治相关干预措施。

关键词: 肥胖, 学龄前儿童, 婴幼儿, 多中心, 分层整群随机抽样方法

Abstract: Objective To understand the current prevalence and influencing factors of obesity in children aged 0 to 5 years in Jiangsu Province,in order to proride reference for the prevention and treatment of childhood obesity. Methods A stratified cluster random sampling method was used to recruit children aged 0 to 5 years from 10 cities in Jiangsu Province between April 2014 and March 2015 for a multi-center large-sample survey. Through a self-designed questionnaire, information on height/length, weight, gender, birth condition, region, and season was collected. A multivariate Logistic regression model was used to analyze the influencing factors of obesity in children aged 0 to 5 years. Results A total of 5 284 children aged 0 to 5 years were surveyed, with an obesity detection rate of 6.8%. The obesity detection rates for children aged 0 to <1 year, 1 to <2 years, 2 to <3 years, 3 to <4 years, 4 to <5 years, and 5 to <6 years were 7.7%, 4.7%, 4.0%, 6.0%, 7.1%, and 11.0%, respectively. Multivariate Logistic regression analysis indicated that compared to children aged 2 to <3 years, the risk of obesity was higher in children aged 0 to <1 year and 5 to <6 years (OR=1.982, 2.202); boys, children with birth weight ≥4 000 g, and children surveyed during winter had a higher risk of obesity (OR=1.581, 1.600, 2.109, P<0.05). Conclusions The obesity rate in children aged 0 to 5 years in Jiangsu Province is at a relatively high level. The incidence of obesity is statistically associated with age, gender, birth weight, and the season of the survey,related intervention measures are warranted for the prevention and treatment of childhood obesity.

Key words: obestity, preschool children, infants and toddlers, multicenter study, stratified cluster random-sampling method

中图分类号:

R181

李莉华, 李归雁, 秦锐, 赵艳. 江苏10市0～5岁儿童肥胖现状及影响因素分析[J]. 中国儿童保健杂志, 2024, 32(11): 1271-1276.

LI Lihua, LI Guiyan, QIN Rui, ZHAO Yan. Status quo of obesity and its influencing factors among children aged 0 - 5 in 10 cities in Jiangsu province[J]. Chinese Journal of Child Health Care, 2024, 32(11): 1271-1276.

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江苏10市0～5岁儿童肥胖现状及影响因素分析

Status quo of obesity and its influencing factors among children aged 0 - 5 in 10 cities in Jiangsu province

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