| 我国老年人身体活动及其影响因素的历时变化——基于CHARLS2011年和2018年数据的分析 |
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| 引用本文： | 郭凯林,王世强,李丹,王一杰,王少堃,胥祉涵.我国老年人身体活动及其影响因素的历时变化——基于CHARLS2011年和2018年数据的分析[J].武汉体育学院学报,2022,56(7):68-75. |
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| 作者姓名： | 郭凯林 王世强 李丹 王一杰 王少堃 胥祉涵 |
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| 作者单位： | 1. 湖南工业大学 体育学院, 湖南 株洲 412007;2. 体质健康和运动健身湖南省重点实验室, 湖南 株洲 412007;3. 武汉体育学院 博士后流动站, 湖北 武汉 430079 |
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| 基金项目： | 国家社会科学基金项目(20CTY019)；中国博士后科学基金特别资助(2020T130489)。 |
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| 摘 要： | 基于中国健康与养老追踪调查(CHARLS)2011年和2018年的数据,利用logistic回归、平均偏效应模型以及交互模型,分析我国老年人身体活动及影响因素的历时变化。结果表明:我国老年人身体活动达标率从2011年的16.91%提升至2018年的48.65%,且同时呈现出同增长性与差异增大性;年龄、婚姻特征的影响程度增加,户籍、地域特征的影响程度减小;老年群体身体活动情况存在着明显的年龄、性别、教育以及户籍的分化。并以此提出建议:一要重视老年人身体活动不足的问题,提供有利于促进老年人身体活动的支持性环境,二要针对不同老年人群体,制定差异化的身体活动促进策略,三要根据区域地域差异化特征,进一步重视和引导城区中东部老年人的身体活动。
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| 关 键 词： | 身体活动 老年 历时变化 群体分化 Logistic回归 平均偏效应模型 |
| 收稿时间： | 2022-04-07 |
A Diachronic Study on Physical Activity of the Elderly and Its influencing Factors in China Based on Analysis of CHARLES Data in 2011 and 2018 |
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| GUO Kailin,WANG Shiqiang,LI Dan,et al.A Diachronic Study on Physical Activity of the Elderly and Its influencing Factors in China Based on Analysis of CHARLES Data in 2011 and 2018[J].Journal of Wuhan Institute of Physical Education,2022,56(7):68-75. |
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| Authors: | GUO Kailin WANG Shiqiang LI Dan |
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| Institution: | 1. School of P.E., Hunan Univ. of Tech., Zhuzhou 412007, China;2. Hunan Provincial Key Lab of Physical Health and Fitness, Zhuzhou 412007, China |
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| Abstract: | Based on the data of 2011 and 2018 of China Health and Retirement Longitudinal Study, logistic regression, mean bias effect model and interaction model were used to analyze the diachronic changes of physical activity of the elderly and influential factors in China.The results showed that the physical activity compliance rate increased from 16.91% in 2011 to 48.65% in 2018, revealing an increase during the same period and big differences. The influences of age and marital characteristics increased, while the influences of household registration and regional characteristics decreased. The physical activity of the elderly group diversified due to differences in age, gender, education and household registration. Measures should be taken to formulate diversified physical activity promotion strategies, to give more guidance and provide supportive environment for the sufficient physical activity. |
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| Keywords: | physical activity the elderly diachronic change population differentiation logistic regression mean bias effect model |
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