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遵义市农村45岁以上人群睡眠情况及影响因素分析 被引量:2

Analysis on sleep pattern and influenced factors in population over 45 in rural area of Zunyi
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摘要 目的了解遵义市农村45岁以上人群睡眠情况,并分析其影响因素为减少睡眠障碍提供流行病学依据。方法 2015年7月选取遵义市某乡镇45岁以上的245名村民进行问卷调查与体格测量,采用匹兹堡睡眠指数量表(Pittsburgh sleep quality index,PSQI)对睡眠质量进行评价。通过方差分析,多元线性回归对睡眠情况及影响因素进行分析,P<0.05为差异有统计学意义。结果 236名调查对象中有80名(33.90%)对象存在睡眠障碍,PSQI总分为(6.10±3.08)分。不同性别、个人收入、是否睡前饮茶、肥胖情况、是否患有高血压人群的PSQI评分[(5.46±2.69)、(6.50±3.23)分,(5.68±3.12)、(6.62±2.90)、(4.96±2.92)、(7.14±4.34)分,(8.16±2.92)、(5.54±2.87)分,(5.29±1.46)、(5.74±3.01)、(7.08±3.38)分,(5.78±2.96)、(7.03±3.24)分]比较,差异均有统计学意义(均P<0.05)。女性、睡前饮茶、高血压均为睡眠质量的危险因素(均P<0.05)。结论中老年女性睡眠质量值得关注,改善不良生活习惯,控制慢性病对改善睡眠质量具有重要意义。 Objective To understand the sleep pattern and its influenced factors in population over 45 in rural area of Zunyi,and to provide epidemiology evidence to reduce the prevalence of sleeping disorder.Methods Population in one town of Zunyi was selected to investigate in July 2015,including questionnaire investigation and physical measurement.Pittsburgh sleep index scale(PSQI) was adopted to measure the sleep pattern.Sleep pattern and influenced factors were analyzed by variance analysis and multiple linear regression,P0.05 was considered statistically significant.Results There were 80(31.25%) of a total of 236 were sleeping disordered.The mean score of PSQI was(6.10±3.08).The differences of total score of PSQI in gender[(5.46±2.69),(6.50±3.23)], personal income [(5.68±3.12),(6.62±2.90),(4.96±2.92),(7.14±4.34)],habit of drinking tea before sleep[(8.16±2.92),(5.54±2.87)],body mass index(BMI)[(5.29±1.46),(5.74±3.01),(7.08±3.38)],hypertension[(5.78±2.96),(7.03±3.24)] were significant(all P0.05).The risk factors were female,hypertension and drinking tea before sleep(all P0.05).Conclusion Sleep pattern of middle-aged and old women should be concerned.Improve unhealthy living habits and put chronic disease under control are meaningful for sleeping quality.
出处 《社区医学杂志》 2016年第9期34-36,共3页 Journal Of Community Medicine
基金 遵义医学院研究生社会实践项目(zy-yjs2015002)
关键词 中老年人 睡眠质量 影响因素 Middle-aged and old women Sleep quality Influence factor
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