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谢娟, 罗红彬, 朱红, 常文娟, 许军. 天津市城镇居民亚健康现状及影响因素分析[J]. 中国公共卫生, 2016, 32(1): 76-80. DOI: 10.11847/zgggws2016-32-01-23
引用本文: 谢娟, 罗红彬, 朱红, 常文娟, 许军. 天津市城镇居民亚健康现状及影响因素分析[J]. 中国公共卫生, 2016, 32(1): 76-80. DOI: 10.11847/zgggws2016-32-01-23
XIE Juan, LUO Hong-bin, ZHU Hong.et al, . Prevalence and influence factors of sub-health among urban residents in Tianjin[J]. Chinese Journal of Public Health, 2016, 32(1): 76-80. DOI: 10.11847/zgggws2016-32-01-23
Citation: XIE Juan, LUO Hong-bin, ZHU Hong.et al, . Prevalence and influence factors of sub-health among urban residents in Tianjin[J]. Chinese Journal of Public Health, 2016, 32(1): 76-80. DOI: 10.11847/zgggws2016-32-01-23

天津市城镇居民亚健康现状及影响因素分析

Prevalence and influence factors of sub-health among urban residents in Tianjin

  • 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3866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(SHMS V1.0)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2566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。

     

    Abstract: Objective To study the distribution and influence factors of sub-health among urban residents in Tianjin,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 stratified cluster sampling from 6 districts of Tianjin.A total of 4500 questionnaires were distributed and 3866 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 physical,psychological,and social sub-scales among the participants,respectively.The detection rate of sub-health was 66.37%(n=2566) and the rates of severe,moderate and mild sub-health were 11.23%,33.26%,and 21.88%,respectively,among the participants.The male participants had a significantly lower sub-health detection rate than the female(63.94% vs.68.31%).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 experiencing negative events were potential risk factors,while male gender,with normal body weight,and having breakfast regularly 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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