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作 者:谢娟[1] 罗红彬[1] 朱红[1] 常文娟[1] 许军[2]
机构地区:[1]天津医科大学公共卫生学院流行病与卫生统计学系,天津300070 [2]南方医科大学南方医院卫生经济管理科
出 处:《中国公共卫生》2016年第1期76-80,共5页Chinese Journal of Public Health
基 金:国家自然科学基金(81172775);天津市高等学校科技发展基金计划项目(20130140)
摘 要:目的了解天津市城镇居民的亚健康现状及其影响因素,为干预亚健康向健康转化提供科学依据。方法于2010年10月—2013年10月采用分层整群随机抽样方法对在天津市6个区县抽取的3 866名城镇居民进行亚健康问卷调查。结果天津市城镇居民亚健康评定量表(SHMSV1.0)总分转化分为(65.55±12.13)分,生理亚健康、心理亚健康和社会亚健康3个子量表得分转化分分别为(70.13±13.12)、(62.92±14.90)和(61.94±16.96)分;天津市城镇居民共检出亚健康者2 566人,亚健康总检出率为66.37%,其中,重度、中度和轻度亚健康检出率分别为11.23%、33.26%和21.88%;女性亚健康检出率为68.31%显著性高于男性63.94%的检出率。多因素非条件logistics回归分析结果显示,年龄≥20岁、文化程度大专及以下、婚姻状况为已婚和离异/丧偶、肥胖、饮酒≥1次/周、睡眠质量中和差、有负性事件经历是天津市城镇居民亚健康的危险因素;男性、正常体重、吃早餐≥1次/周是天津市城镇居民亚健康的保护因素。结论天津市城镇居民亚健康检出率较高,性别、年龄、文化程度、婚姻状况、体质指数、饮酒情况、吃早餐情况、睡眠质量和负性事件经历是该地区居民亚健康的主要影响因素。Objective To study the distribution and influence factors of sub-health among urban residents in Tian- jin, and to provide evidences for prevention and control of sub-health. Methods Sub-Health Measurement Scale Version 1.0( SHMS V1.0) was adopted and a representative sample of urban residents aged ≥ 14 years was recruited with strati- fied cluster sampling from 6 districts of Tianjin. A total of 4 500 questionnaires were distributed and 3 866 with eligible information were collected. Statistical description and data analyses were conducted using SPSS 15. 0. Results The mean score of SHMS V1.0 was 65.55 ± 12. 13 ,with the scores of 70. 13 ± 13.12,62. 92 ± 14. 90 ,and 61.94 ± 16. 96 for physi- cal, psychological, and social sub-scales among the participants, respectively. The detection rate of sub-health was 66. 37 % ( n = 2 566) and the rates of severe, moderate and mild sub-health were 11.23 %, 33.26 %, and 21.88 %, respec- tively, among the participants. The male participants had a significantly lower sub-health detection rate than the female (63.94% vs. 68.3 1% ). The results of unconditional multivariate logistic regression demonstrated that aged ≥ 20 years, with the education of junior college, being married/divorced/widowed, having poor or general sleep quality, and experien- cing negative events were potential risk factors, while male gender, with normal body weight, and having breakfast regu- larly were potential protective factors for sub-health among the participants. Conclusion The prevalence of sub-health is relatively high and mainly influenced by gender, age, education level, marital status, body mass index, alcohol drinking, breakfast behavior,sleeping quality,and negative life events among adult urban residents in Tianjin.
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