中国人睡眠质量与社会支持的关系及其相关因素研究

A Study on Relationship of Chinese Peoples' Sleep Quality and Social Support and Its Related Factors

目的探讨中国人睡眠障碍与社会支持的关系及其影响因素。方法随机整群抽样法,在全国18省市分层抽取健康人13 080人,发放中国社会支持量表和中国睡眠障碍量表,数据采用SPSS 17.0进行统计处理。分别进行描述性统计分析、独立样本t检验、相关分析、回归分析。结果 1)城市人群睡眠障碍各因子分显著高于农村(P<0.01);独生子女的运动性异样睡眠因子、非运动性异样睡眠因子分显著低于非独生子女(P<0.01),独生子女嗜睡因子分显著高于非独生子女(P<0.01);除嗜睡因子外,已婚者其他睡眠障碍因子分高于未婚者(P<0.01)。2)中国是否独生子女、不同婚姻状况社会支持各因子分显著差异(P<0.01);中国社会支持各因子分的城乡差异不显著(P>0.05)。3)中国社会支持各因子与睡眠障碍各因子呈显著正相关(P<0.01);社会支持各因子进入日间功能、失眠、嗜睡、非运动性异样睡眠的回归方程,对该睡眠障碍有预测作用(P=0.000);主观支持和客观支持进入运动性异样睡眠回归方程,可显著预测其运动性异样睡眠状况(P=0.000)。结论中国不同人口群体的社会支持和睡眠障碍存在差异,社会支持状况与个体睡眠质量密切相关。

Objective To explore the relationship between Chinese People＇s sleep quality and Chinese people＇s social support and its influencing factors to provide solid evidence for improvement of sleep disorder. Methods A total of 13080 health participants in 18 provinces of China were chosen by random cluster sampling,and were assessed by Chinese People＇s Social Support Scale（CPSSS） and Chinese People＇s Sleep Disorder Scale（CPSDS）. A variety of Statistic methods such as descriptive statistic analysis, t-test for independent sample, correlation analysis and multiple linear regression analysis were employed for data processing. Results 1 ） All factor scores of sleep disorder in urban group were lower than rural group （ P 〈 0.01 ） ; The scores of motile abnormal sleep,immotile abnormal sleep in only-child group were lower than corresponding group（ P 〈 0.01 ） ; The scores of lethargy in only-child group were higher than corresponding group（P 〈 0.01 ） ; The scores of all factors in CPSDS except lethargy in married group were higher than unmarried group （ P 〈 0.01 ）. 2） The social support scores of Chinese sample in only-child or not,married status had significant difference（ P 〈 0.01 ） ; but The social support scores of rural-urban difference were not statistically significant （ P 〉 0.05 ）. 3 ） All factors of social support positively correlated to sleep disorder （ P 〈 0.01 ）. Multiple regression analysis suggested All factors of social support were selected into the regressive functions of daytime function, insomnia,lethargy,immotile abnormal sleep and they could predict the current status of the above four factors of sleep disorder （P = 0.000）. The subjective social support and objective social support were selected into regressive function of motile abnormal sleep and they could predict the current status of motile abnormal sleep（P = 0.000）. Conclusion The current status of social support and sleep disorder in demographic sample have significant difference; Social support closely related to sleep disorder, and it can predict the sleep disorder.