石文惠,翟屹,李伟荣,沈冲,施小明.我国八省份6~12岁儿童上学日睡眠状况分析[J].Chinese journal of Epidemiology,2015,36(5):450-454 |
我国八省份6~12岁儿童上学日睡眠状况分析 |
Analysis on sleep duration of 6-12 years old school children in school-day in 8 provinces, China |
Received:December 07, 2014 |
DOI:10.3760/cma.j.issn.0254-6450.2015.05.009 |
KeyWord: 睡眠时间 小学生 上学日 |
English Key Word: Sleep School children School-day |
FundProject:中国疾病预防控制中心青年科研基金(2010A205) |
Author Name | Affiliation | E-mail | Shi Wenhui | Office for Chronic and Non-communicable Disease Control and Community Health, Chinese Center for Disease Control and Prevention, Beijing 102206, China | | Zhai Yi | Office for Chronic and Non-communicable Disease Control and Community Health, Chinese Center for Disease Control and Prevention, Beijing 102206, China | zhaiiahz@163.com | Li Weirong | Office of Statistics, Beijing Friendship Hospital | | Shen Chong | School of Public Health, Nanjing Medical University | | Shi Xiaoming | Office for Chronic and Non-communicable Disease Control and Community Health, Chinese Center for Disease Control and Prevention, Beijing 102206, China | |
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Abstract: |
目的 分析6~12岁儿童上学日睡眠的影响因素。方法 2010年9-11月, 采用分层随机整群抽样方法, 根据地理特征、社会经济发展水平等因素, 以中国内地8省(直辖市、自治区)为抽样框, 抽取20 603名6~12岁儿童作为研究对象, 调查其睡眠时间及相关生活习惯。采用多因素logistic回归逐步法分析儿童睡眠时间的影响因素。结果 调查6~12岁儿童上学日平均每天的睡眠时间为9.11 h, 睡眠严重不足、睡眠不足和睡眠适中的比例分别为32.82%(7 672/20 603)、39.70%(8 179/20 603)和27.48%(5 662/20 603), 随年龄的增加, 儿童睡眠时间减少, 睡眠严重不足的比例增加。不同性别、城乡及经济水平之间儿童的睡眠时间及不同性别的小学生的睡眠构成并没有差异, 但不同地域(城市和农村)与不同经济地区儿童睡眠构成的差异有统计学意义, 农村儿童睡眠严重不足、睡眠适中的比例高于城市(χ2=59.96, χ2=45.47, P<0.05);而睡眠不足的比例低于城市的比例;经济水平高的地区儿童睡眠不足的比例最低, 构成差异有统计学意义。在调整性别、体重、饮食习惯及运动时间后, 多因素logistic回归结果显示, 对促进儿童睡眠时间满足10 h有积极保护作用的是饮食习惯中习惯吃肉、每日运动, 经济水平高和居住于城市地区。结论 我国儿童存在不良的睡眠卫生习惯;睡眠时间不足呈现低龄化, 农村儿童睡眠严重不足的现象较为常见。 |
English Abstract: |
Objective To analyze the influencing factors for sleep duration of school children aged 6 -12 years in school-day in 8 provinces in China. Methods The cross sectional study was conducted among 20 603 children aged 6-12 years and selected through stratified random cluster sampling in 8 provinces (municipality and autonomous region) with different geographic characteristics and economic development level in China from September to November, 2010 to understand their sleep duration in school-day and related habits. t test and χ2 test were used to compare the sleep duration of the children. Multivariate stepwise logistic regression analysis was conducted to identify the influencing factors. Results The survey indicated that the daily average sleep duration of the children in school days was 9.11 hours. The proportions of the children with serious insufficient sleep, insufficient sleep and sufficient sleep were 32.82% (7 672/20 603), 39.70% (8 179/20 603) and 27.48% (5 662/20 603), the children's sleep duration declined with age, so did proportion of children with serious insufficient sleep. There were no sex, urban or rural area and household income level specific significant differences in sleep duration among the children surveyed, and there were no sex specific differences in the proportion of children with serious insufficient sleep, insufficient sleep and sufficient sleep, however, these proportions were statistically different between urban area and rural area and among the regions with different economic level. The proportions of children with serious insufficient sleep and sufficient sleep was higher in rural area than in urban area (χ2=59.96, χ2=45.47, P<0.05), while the proportion of children with insufficient sleep was lower in rural area than in urban area. In the economy developed region, the proportion of children with insufficient sleep was lowest, the difference was statistical significant. After adjusting for sex, weight, diet and exercise time, multivariate logistic regression analysis showed that the factors benefiting children to have 10 hours sleep every day included having high protein diet, exercise, high household economic status and living in urban area. Conclusion The problem of school children having insufficient sleep was serious in China, especially in the rural area. |
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