14052名南美青少年中致肥行为的聚类:国家健康调查的统一荟萃分析

Thiago Sousa Matias, Raphael Henrique de Oliveira Araujo, Rafael Miranda Tassitano, Robinson Ramírez-Vélez, Kabir P Sadarangani, José Ywgne, Jhonatan Wélington Pereira Gaia, Gilmar Mercês de Jesus, Danilo Rodrigues Pereira da Silva
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引用次数: 0

摘要

背景:身体活动、久坐行为和饮食在青少年的生活方式中协同共存(以不同的方式)。因此,了解人群中的致肥行为模式对促进青少年健康至关重要。本研究调查了南美国家青少年致肥行为的聚类模式。方法:本工作是对调查青少年非传染性疾病风险和保护因素的10项全国代表性横断面健康调查的统一分析。调查采用问卷调查的方式,并分析了三种致肥行为(体育活动、久坐时间和饮食)的聚类形成。社会人口学变量为性别、年龄和食品不安全。数据分析采用两步聚类、Rao-Scott卡方检验和meta分析。结果:每个国家确定了三到四个集群解决方案,大多数集群是不健康的。在巴拉圭、秘鲁、苏里南、智利、圭亚那、阿根廷、巴西、哥伦比亚和厄瓜多尔观察到全天保姆-饮食非常差的群集,总患病率为17.8% (95% CI:15.0;20.7),其中阿根廷的患病率最高[26.8% (95% CI: 26.7;26.9)]。女孩更有可能属于最不健康的群体。结论:南美青少年生活方式行为负性共存,存在严重的致肥风险。在所有国家,缺乏运动和不良/非常不良饮食之间的协同作用聚集在一起,我们的分析没有揭示任何自然的健康集群。此外,女孩处于不利地位,因为她们在南美洲的不健康群体中占多数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clustering of obesogenic behaviours amongst 140 052 South American adolescents: a harmonized meta-analysis of national health surveys.

Background: Physical activity, sedentary behaviour, and diet synergically coexist (in different ways) within adolescents' lifestyles. Thus, understanding obesogenic behaviour patterns within populations is critical to promoting adolescents' health. This study investigates clustering patterns of adolescents' obesogenic behaviours across South American countries.

Methods: The present work is a harmonized analysis of 10 national representative cross-sectional health surveys investigating adolescents' risk and protective factors for non-communicable diseases. The surveys used questionnaires, and three obesogenic behaviours were analyzed for cluster formation (physical activity, sitting time, and diet). Sociodemographic variables were sex, age, and food insecurity. The Two-step cluster, the Rao-Scott chi-square test, and a meta-analysis were performed for data analysis.

Results: Three to four cluster solutions were identified in each country, and most clusters are unhealthy. The All-day sitters-very poor diet cluster was observed in Paraguay, Peru, Suriname, Chile, Guyana, Argentina, Brazil, Colombia, and Ecuador, with a pooled prevalence of 17.8% (95% CI:15.0; 20.7) amongst South American countries, with the highest prevalence observed in Argentina [26.8% (95% CI: 26.7; 26.9)]. Girls were more likely to belong to the unhealthiest clusters.

Conclusions: The lifestyle behaviours of South American adolescents coexist negatively, and there is a severe obesogenic risk for this population. The synergy between physical inactivity and poor/very poor diet was clustered together in all countries, and our analysis did not reveal any natural healthy clusters. Furthermore, girls are at a disadvantage, given that they are the majority in clusters with unhealthy profiles in South America.

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