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巴西城乡居民体力活动与电视观看差异

Rural-urban differences in physical activity and TV-viewing in Brazil.

机构信息

Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil

Department of Nutrition, School of Public Health, University of São Paulo, Brazil

出版信息

Rural Remote Health. 2022 Mar;22(1):6937. doi: 10.22605/RRH6937. Epub 2022 Mar 15.

Abstract

INTRODUCTION

This study aims to compare differences regarding physical activity (PA) indicators and TV viewing according to location of residence and sociodemographic variables in Brazil.

METHODS

This cross-sectional study with individuals aged 18 years or older using data from the Brazilian National Health Survey was carried out in 2013. PA (total and domains) and TV viewing (≥3 hours) were measured by self-report. Stratifiers were location of residence, sex, age, wealth quintiles and regions of the country.

RESULTS

This study included 60 202 individuals (49 245 from urban areas). In general, total PA was not different according to location of residence (urban 59.4%; rural 57.4%). Higher differences were found for leisure-time PA (urban 24.1%; rural 13.9%), work-based PA (urban 12.9%; rural 21.1%) and TV viewing of more than 3 hours (urban 30.1%; rural 21.4%). The differences between urban and rural areas were enhanced according to sex, age and wealth quintiles.

CONCLUSION

The differences between urban and rural areas vary according to PA domains and population groups. To explore specific domains of PA in each location of residence may improve the understanding of the analyzed outcomes in different communities and consequently guide future interventions.

摘要

简介

本研究旨在比较巴西居住地点和社会人口变量对体力活动(PA)指标和电视观看的差异。

方法

本横断面研究使用了 2013 年巴西国家健康调查的数据,研究对象为 18 岁及以上的个体。通过自我报告测量 PA(总量和各领域)和电视观看(≥3 小时)。分层变量为居住地点、性别、年龄、财富五分位数和国家地区。

结果

本研究纳入了 60202 名个体(城市地区 49245 名)。总体而言,居住地点与总 PA 无关(城市 59.4%;农村 57.4%)。休闲时间 PA(城市 24.1%;农村 13.9%)、工作场所 PA(城市 12.9%;农村 21.1%)和观看 3 小时以上的电视(城市 30.1%;农村 21.4%)的差异更大。根据性别、年龄和财富五分位数,城乡差异更加明显。

结论

PA 各领域和不同人群的城乡差异各不相同。在每个居住地点探索特定的 PA 领域,可能会更好地理解不同社区的分析结果,并为未来的干预提供指导。

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