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巴西青少年饮食、身体活动和久坐行为的聚类分析:全国学校健康调查(2015 年)。

Clustering of diet, physical activity and sedentary behavior among Brazilian adolescents in the national school - based health survey (PeNSE 2015).

机构信息

Department of Physical Education, School of Sports, Federal University of Santa Catarina, Florianópolis, Brazil.

School of Exercise and Nutrition Sciences, Deakin University, Melbourne, Australia.

出版信息

BMC Public Health. 2018 Nov 21;18(1):1283. doi: 10.1186/s12889-018-6203-1.

Abstract

BACKGROUND

There is a lack of evidence regarding clusters of health-related behaviors among adolescents from low, lower-middle, and upper-middle income countries. This study aimed to identify clustering patterns of health-related behaviors (diet, physical activity [PA] and sedentary behavior [SB]) and association with sociodemographic variables among a population-based sample of Brazilian adolescents.

METHODS

Cross-sectional data from the 2015 National School-Based Health Survey (PeNSE). A total of 102,072 (females: 51.7%) students in ninth-grade (age: 14.3 ± 1.1 years-old) enrolled in public and private schools were investigated in this study. Healthy and unhealthy diet, PA and SB were measured using a validated questionnaire. Two-step cluster analysis was conducted to identify lifestyle patterns. The methodology for complex analysis and weighting was used to inferential statistical procedures. Multinomial logistic regression assessed associations between sociodemographic factors and the clusters.

RESULTS

Three reliable and meaningful clusters were identified and labelled as follows: (1) health-promoting SB and diet (32.6%); (2) health-promoting PA and diet (44.9%), and (3) health-risk (22.5%). Compared to boys, girls were less likely to be in clusters 1 (OR = 0.85; 95% CI = 0.78-0.93, p < 0.001) and 2 (OR = 0.43; 95% CI = 0.40-0.46, p < 0.001) than the health-risk cluster. Higher socioeconomic status was positively associated with health-promoting PA and diet, and negatively related to health-promoting SB and diet. Older adolescents were more likely to be in cluster 1 than in cluster 3, compared to younger adolescents.

CONCLUSION

Approximately one-quarter of the population (health-risk cluster) reported engaging in multiple risk behaviors. Interventions may need to be tailored to specific adolescent groups, especially considering sociodemographic differences.

摘要

背景

在来自低收入、中低收入和中上收入国家的青少年中,缺乏关于健康相关行为集群的证据。本研究旨在确定巴西青少年人群中基于人群样本的健康相关行为(饮食、体力活动[PA]和久坐行为[SB])聚类模式,并探讨其与社会人口学变量的关联。

方法

本研究使用 2015 年全国学校健康调查(PeNSE)的横断面数据。共有 102072 名(女性:51.7%)九年级(年龄:14.3±1.1 岁)公立和私立学校学生参与了这项研究。采用经过验证的问卷测量健康和不健康的饮食、PA 和 SB。采用两步聚类分析识别生活方式模式。采用复杂分析和加权方法进行推断性统计程序。多变量逻辑回归评估社会人口学因素与聚类的关联。

结果

确定了三个可靠且有意义的聚类,并将其标记为:(1)促进健康的 SB 和饮食(32.6%);(2)促进健康的 PA 和饮食(44.9%),和(3)健康风险(22.5%)。与男孩相比,女孩不太可能处于集群 1(OR=0.85;95%CI=0.78-0.93,p<0.001)和 2(OR=0.43;95%CI=0.40-0.46,p<0.001),而更可能处于健康风险集群。较高的社会经济地位与促进健康的 PA 和饮食呈正相关,与促进健康的 SB 和饮食呈负相关。与较年轻的青少年相比,年龄较大的青少年更有可能处于集群 1,而不是集群 3。

结论

大约四分之一的人群(健康风险集群)报告存在多种风险行为。干预措施可能需要针对特定的青少年群体进行定制,特别是要考虑到社会人口学差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/428e/6249930/c2d66e39a97b/12889_2018_6203_Fig1_HTML.jpg

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