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目的了解中国成年居民闲暇静态活动的现状及其影响因素。方法使用“2010—2012年中国居民营养与健康状况监测”中“身体活动调查问卷”收集的数据,采用多阶段分层整群随机抽样方法对中国142 369名18岁及以上成年居民(男性62 563人,女性79 806人)的闲暇静态活动时间进行调查,使用SAS 9.1描述分析闲暇静坐活动的时间和静坐活动时间2小时及以上的人群的比例,建立多元Logistic模型对静坐时间2小时及以上人群的比例与社会人口学因素的关系进行分析。结果18岁及以上居民闲暇时静态活动的时间平均为2.66小时/天,平均每天闲暇静态活动时间2小时及以上的比例82.1%。每天静态活动时间和静态活动2小时及以上的比例,城市居民(83.0%)高于农村(81.3%),男性(83.8%)高于女性(80.4%),随年龄降低,教育程度升高,居民静态活动时间2小时及以上的比例上升,家庭人均年收入一万元及以上(83.6%)的高于低于一万元(80.7%)的居民,未婚居民(89.1%)高于有配偶(81.3%)和离异或丧偶者(77.2%)。多元Logistic回归分析发现,地区、性别、年龄、教育水平、职业、婚姻状况、家庭人口数、家庭人均年收入与闲暇静态活动2小时及以上人群的比例之间都有显著关系。结论中国18岁及以上居民闲暇静态活动水平较高,不同年龄、性别、地区、家庭经济状况、教育水平以及婚姻状况的成年居民的静态活动水平不同。
Objective To understand the current status and influencing factors of adult static leisure activities in China. Methods Using the data collected from the Survey of Nutrition and Health Status of Chinese Citizens in 2010-2012 Physical Activity Questionnaire, a multistage stratified cluster random sampling method was used to analyze the data of 142 369 adults aged 18 and over in China Residents (62 563 males and 79 806 females) were investigated for their leisure time using SAS 9.1 description to analyze the proportion of leisure time spent in sit-in activities and the proportion of people who spent more than 2 hours and sedentary activities for more than 2 hours to establish the multivariate Logistic model. 2 hours and above the proportion of the population and socio-demographic factors to analyze the relationship. Results The average time of static activity of residents aged 18 years and over in free time was 2.66 hours / day, and the average activity time of static leisure activities in 2 hours and above was 82.1%. The daily static activity time and the static activity of 2 hours and above ratio, urban residents (83.0%) than rural (81.3%), men (83.8%) than female (80.4%), with age, education, The proportion of residents living with static activity for 2 hours and above increased. The number of residents (89.1%) who were above 100 thousand yuan (83.6%) and below 10,000 yuan (80.7%) was higher than those with spouse (81.3%) and divorced or widowed (77.2%). In multivariate Logistic regression analysis, there was a significant relationship between age, education level, occupation, marital status, family size, annual per capita household income and the proportion of people who spent more than 2 hours in leisure and leisure activities. Conclusions The residents of 18 years old and above in China have a relatively high level of leisure and static activities, and different levels of static activity among adults of different ages, genders, regions, family economic status, educational level and marital status.