小学社区儿童肥胖评估,以人体测量指数为筛查工具:印度尼西亚的一项社区横断面研究

I. Liberty, Indri Seta Septadina, M. Q. Rizqie, Mariana Mariana, Pariyana Pariyana, Resy Amalia, Hamzah Hasyim
{"title":"小学社区儿童肥胖评估,以人体测量指数为筛查工具:印度尼西亚的一项社区横断面研究","authors":"I. Liberty, Indri Seta Septadina, M. Q. Rizqie, Mariana Mariana, Pariyana Pariyana, Resy Amalia, Hamzah Hasyim","doi":"10.1136/bmjph-2023-000751","DOIUrl":null,"url":null,"abstract":"Representative anthropometric epidemiological data are needed to formulate screening and intervention methods to prevent obesity in children. This study aims to conduct community childhood obesity assessment in elementary school based on anthropometric measurements and evaluate its predictive value.This cross-sectional study was carried out in Palembang, Indonesia, and involved 1180 elementary school students. The anthropometric parameters were divided into (1) basic data: stature, weight and waist circumference (WC), hip circumference (HC); (2) structural dimensions: the segmental dimensions of head-neck, trunk, upper extremity, hand, lower extremity and foot and (3) postural dimensions: the relative spacial dimensions when standing. Six anthropometric indices were considered: body mass index, waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), Conicity Index (CI), Body Adiposity Index (BAI) and Tri-ponderal Mass Index (TMI).The proportion of overweight and obesity was 50.17% (n=592) and normal weight was 49.83% (n=588). The mean age was 8.26±1.71 years. The averages of all measured indices in overweight/obese versus normal weight were significant difference among boys and girls in height, weight, WC, HC, neck circumference, WHR, WHtR, neck-to-height ratio, BAI, TMI and CI (p<0.05 for all). TMI was the best predictor of obesity based on area under the curve (AUC) values, both in boys (sensitivity=90.48; specificity=91.53; AUC=0.975) and in girls (sensitivity=90.28; specificity=90.00; AUC=0.968).A trustworthy anthropometric database of primary school students might be a helpful local resource when working on projects involving children. In order to improve the quality of life through better-suited and secure products and environmental designs, it is crucial to build an anthropometric database.","PeriodicalId":117861,"journal":{"name":"BMJ Public Health","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Community childhood obesity assessment in elementary school, anthropometric indices as screening tools: a community cross-sectional study in Indonesia\",\"authors\":\"I. Liberty, Indri Seta Septadina, M. Q. Rizqie, Mariana Mariana, Pariyana Pariyana, Resy Amalia, Hamzah Hasyim\",\"doi\":\"10.1136/bmjph-2023-000751\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Representative anthropometric epidemiological data are needed to formulate screening and intervention methods to prevent obesity in children. This study aims to conduct community childhood obesity assessment in elementary school based on anthropometric measurements and evaluate its predictive value.This cross-sectional study was carried out in Palembang, Indonesia, and involved 1180 elementary school students. The anthropometric parameters were divided into (1) basic data: stature, weight and waist circumference (WC), hip circumference (HC); (2) structural dimensions: the segmental dimensions of head-neck, trunk, upper extremity, hand, lower extremity and foot and (3) postural dimensions: the relative spacial dimensions when standing. Six anthropometric indices were considered: body mass index, waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), Conicity Index (CI), Body Adiposity Index (BAI) and Tri-ponderal Mass Index (TMI).The proportion of overweight and obesity was 50.17% (n=592) and normal weight was 49.83% (n=588). The mean age was 8.26±1.71 years. The averages of all measured indices in overweight/obese versus normal weight were significant difference among boys and girls in height, weight, WC, HC, neck circumference, WHR, WHtR, neck-to-height ratio, BAI, TMI and CI (p<0.05 for all). TMI was the best predictor of obesity based on area under the curve (AUC) values, both in boys (sensitivity=90.48; specificity=91.53; AUC=0.975) and in girls (sensitivity=90.28; specificity=90.00; AUC=0.968).A trustworthy anthropometric database of primary school students might be a helpful local resource when working on projects involving children. In order to improve the quality of life through better-suited and secure products and environmental designs, it is crucial to build an anthropometric database.\",\"PeriodicalId\":117861,\"journal\":{\"name\":\"BMJ Public Health\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMJ Public Health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1136/bmjph-2023-000751\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMJ Public Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1136/bmjph-2023-000751","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

要制定预防儿童肥胖的筛查和干预方法,需要有代表性的人体测量流行病学数据。本研究旨在根据人体测量数据对社区小学儿童肥胖情况进行评估,并评价其预测价值。这项横断面研究在印度尼西亚巴伦邦进行,涉及 1180 名小学生。人体测量参数分为:(1)基本数据:身材、体重和腰围(WC)、臀围(HC);(2)结构尺寸:头颈、躯干、上肢、手、下肢和足的节段尺寸;(3)姿势尺寸:站立时的相对空间尺寸。体重指数、腰臀比(WHR)、腰高比(WHTR)、椎体指数(CI)、体脂肪指数(BAI)和三椎体质量指数(TMI)这六项人体测量指数被纳入考虑范围。超重和肥胖的比例为 50.17%(592 人),正常体重的比例为 49.83%(588 人)。平均年龄为(8.26±1.71)岁。超重/肥胖与正常体重的所有测量指标的平均值在身高、体重、腹围、臀围、颈围、WHR、WHtR、颈高比、BAI、TMI 和 CI 方面在男童和女童之间存在显著差异(均为 P<0.05)。根据曲线下面积(AUC)值,TMI 是预测男孩(灵敏度=90.48;特异度=91.53;AUC=0.975)和女孩(灵敏度=90.28;特异度=90.00;AUC=0.968)肥胖的最佳指标。为了通过更合适、更安全的产品和环境设计来提高生活质量,建立人体测量数据库至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Community childhood obesity assessment in elementary school, anthropometric indices as screening tools: a community cross-sectional study in Indonesia
Representative anthropometric epidemiological data are needed to formulate screening and intervention methods to prevent obesity in children. This study aims to conduct community childhood obesity assessment in elementary school based on anthropometric measurements and evaluate its predictive value.This cross-sectional study was carried out in Palembang, Indonesia, and involved 1180 elementary school students. The anthropometric parameters were divided into (1) basic data: stature, weight and waist circumference (WC), hip circumference (HC); (2) structural dimensions: the segmental dimensions of head-neck, trunk, upper extremity, hand, lower extremity and foot and (3) postural dimensions: the relative spacial dimensions when standing. Six anthropometric indices were considered: body mass index, waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), Conicity Index (CI), Body Adiposity Index (BAI) and Tri-ponderal Mass Index (TMI).The proportion of overweight and obesity was 50.17% (n=592) and normal weight was 49.83% (n=588). The mean age was 8.26±1.71 years. The averages of all measured indices in overweight/obese versus normal weight were significant difference among boys and girls in height, weight, WC, HC, neck circumference, WHR, WHtR, neck-to-height ratio, BAI, TMI and CI (p<0.05 for all). TMI was the best predictor of obesity based on area under the curve (AUC) values, both in boys (sensitivity=90.48; specificity=91.53; AUC=0.975) and in girls (sensitivity=90.28; specificity=90.00; AUC=0.968).A trustworthy anthropometric database of primary school students might be a helpful local resource when working on projects involving children. In order to improve the quality of life through better-suited and secure products and environmental designs, it is crucial to build an anthropometric database.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信