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苏州市居民睡眠质量影响因素聚集关联性分析 被引量:9

Association between clustering of influencing factors and sleep quality among residents of Suzhou city
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摘要 目的探讨胸闷、情绪、人际关系、疲劳、性格等影响因素及其聚集项数与睡眠质量的关联性。方法采用整群随机抽样方法对在江苏省苏州市抽取的3 225名18~55岁城乡居民进行睡眠质量及其影响因素的面访调查。结果苏州市3 225名城乡居民中,睡眠质量差者530人,发生率为16.43%;不同职业、婚姻状况、文化程度、胸闷、情绪、人际关系、疲劳、性格居民睡眠质量间差异有统计学意义(P<0.01);非条件logistic回归分析结果表明,无论是否调整职业、婚姻状况、文化程度等其他因素,胸闷、情绪差、人际关系差、疲劳和消极性格均可增加睡眠质量差发生的危险性,调整后OR值分别为6.64、6.79、4.16、5.17和2.83(P<0.001);影响因素聚集1、2、≥3项均与睡眠质量差发生的危险性相关联,调整后的OR值分别为4.89、15.17和52.29(P<0.001);趋势性χ2检验结果表明,随着影响因素聚集项数的增加,睡眠质量差发生的危险性也随之增高(P<0.001)。结论胸闷、情绪、人际关系、疲劳和性格5个因素对睡眠质量的影响存在聚集性;随着影响因素聚集项数增加,睡眠质量差发生的危险性也随之增高。 Objective To explore the association between the clustering of dyspnea, emotion, interpersonal relation, and fatigue and sleep quality. Methods A total of 3 225 residents aged 18 - 55 years in Suzhou city were selected through cluster sampling and surveyed about sleep quality and the influencing factors. Results The prevalence of poor sleep quality was 16.43 %. There were significant differences in the prevalence among the residents with different occupa- tion, marital status, education level, dyspnea, emotion, interpersonal relation, and fatigue ( P 〈 0. 01 ). The results of logistic regression showed that dyspnea, bad emotion, bad interpersonal relation, fatigue and negative character increased the risk of poor sleep quality, with the adjusted odds ratios E OR ] of 6. 64, 6. 79, 4. 16, 5. 17, and 2. 83, respectively (all P 〈0. 001 ) and the adjusted OR of sleep quality for the residents with the clustering of 1,2,3 or more influencing factors were 4. 89,15. 17, and 52. 29, respectively ( all P 〈 0. 001 ). The risk of poor sleep quality increases with the number of clustering of the influencing factors according to the results of trend test. Conclusion The risk of poor sleep quality increases with the number of clustering of the influencing factors.
出处 《中国公共卫生》 CAS CSCD 北大核心 2012年第9期1173-1175,共3页 Chinese Journal of Public Health
基金 国家高技术研究发展计划(863计划)(2006AA02Z428)
关键词 睡眠质量 影响因素 聚集关联性 : sleep quality influencing factor clustering of association
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