Physical activity patterns in adults: prevalence and associated factors
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Abstract Background Insufficient practice of physical activity associated with some factors related to life habits increase the risk of non-transmissible chronic diseases and reduce quality of life. Objective Identify the pattern of physical activity and associated factors in adults aged ≥20 years. Method A cross-sectional, population survey conducted with 600 individuals. Data on demographic, socioeconomic and behavioral aspects, work, and physical activities were collected through home interviews. Descriptive, bivariate and Poisson regression analyses were performed. Results Prevalence of insufficient physical activity was 35.0% (95% CI: 31.2-38.9). Zero to four years of schooling [PR=2.35; 95% CI: 1.07-5.15], working in sitting position [PR=1.52; 95% CI: 1.02-2.48], and number of days at the computer [PR=4.60; 95% CI: 2.38-14.28] remained in the final model for females, whereas 0-4 years [PR=2.30; 95% CI: 1.21-4.06] or 5-8 years [PR=3.70; 95% CI: 0.79-4.00] of schooling, working in sitting position [PR=2.22 95% CI: 1.36-3.62], number of days at the computer [PR=2.04; 95% CI: 1.26-3.32], and number of days of TV viewing [PR=2.12; 95% CI: 1.03-4.36] remained in the final model for males. Conclusion High prevalence of insufficient practice of physical activity is associated with schooling, working in sitting position, and number of days at the computer and TV viewing.
摘要 研究背景 体力活动不足合并部分与生活习惯相关的危险因素,会增加非传染性慢性病的发病风险并降低生活质量。研究目的 明确20岁及以上成年人的体力活动模式及其相关影响因素。研究方法 本研究为横断面人群调查,共纳入600名研究对象。通过入户访谈收集人口学特征、社会经济与行为信息、工作状态及体力活动相关数据,并采用描述性分析、双变量分析及泊松回归(Poisson regression)分析进行数据处理。研究结果 体力活动不足的患病率为35.0%(95%置信区间:31.2~38.9)。在女性的最终回归模型中,受教育年限0~4年[患病率比(Prevalence Ratio,PR)=2.35;95%CI:1.07~5.15]、久坐工作[PR=1.52;95%CI:1.02~2.48]及使用电脑的天数[PR=4.60;95%CI:2.38~14.28]均被纳入;而在男性的最终回归模型中,受教育年限0~4年[PR=2.30;95%CI:1.21~4.06]或5~8年[PR=3.70;95%CI:0.79~4.00]、久坐工作[PR=2.22;95%CI:1.36~3.62]、使用电脑的天数[PR=2.04;95%CI:1.26~3.32]及看电视的天数[PR=2.12;95%CI:1.03~4.36]均被纳入。研究结论 体力活动不足的高患病率与受教育水平、久坐工作、使用电脑天数及看电视天数密切相关。
提供机构:
SciELO journals
创建时间:
2018-10-10



