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四川省汉族与藏族人群亚健康状态现患率和症状数比较
引用本文:徐涛,韩少梅,刘军廷,朱广瑾,毛萌. 四川省汉族与藏族人群亚健康状态现患率和症状数比较[J]. 中华医学杂志, 2009, 89(38): 2671-2674. DOI: 10.3760/cma.j.issn.0376-2491.2009.38.003
作者姓名:徐涛  韩少梅  刘军廷  朱广瑾  毛萌
作者单位:1. 中国医学科学院基础医学研究所北京协和医学院基础学院流行病-统计学系,100005
2. 首都儿科研究所流行病室
3. 中国医学科学院基础医学研究所北京协和医学院基础学院病理生理学系,100005
4. 四川大学华西第二医院华西妇产儿童医院儿科
基金项目:国家科技部科技基础性工作专项重点项目 
摘    要:目的 探讨四川省汉族和藏族人群亚健康状态现患率和症状数的差异.方法 采用分层二阶段整群抽样在四川省进行汉族和藏族人群亚健康状态的横断面调查,采用陈青山等制定的亚健康量表进行亚健康状态评定,分别用亚健康状态现患率、症状数及各维度的现患率反映2组人群的亚健康状况.用多因素Logistic回归模型和负二项回归模型控制年龄、性别、婚姻状况、职业、吸烟、饮酒、体育锻炼、超重和高血压等因素的混杂影响,进行2组人群亚健康状态现患率和症状数的比较分析.结果 汉族亚健康现患率为52.3%(3611/6911),藏族亚健康现患率为57.9%(1034/1787).症状数在3个及5~14个的受试者所占比例在藏族受试者中均高于汉族.Logistic回归模型结果显示藏族受试者处于亚健康状态的风险是汉族受试者的1.2840倍(95%CI为1.1460~1.4390).负二项回归模型显示藏族人群亚健康症状数明显多于汉族人群,藏族受试者的亚健康患病风险为汉族的1.2908倍(95%CI为1.1820~1.4096).藏族人群各亚健康维度的现患率均显著高于汉族人群,尤其是免疫力和躯体症状维度.结论 生活在高海拔地区的藏族人群也有较高的亚健康状态患病情况,值得医学研究人员的进一步关注.

关 键 词:藏族  流行病学方法  Logistic模型  亚健康状态

Comparison of sub-health status between Tibetan people and Han people
XU Tao,HAN Shao-mei,LIU Jun-ting,ZHU Guang-jin,MAO Meng. Comparison of sub-health status between Tibetan people and Han people[J]. Zhonghua yi xue za zhi, 2009, 89(38): 2671-2674. DOI: 10.3760/cma.j.issn.0376-2491.2009.38.003
Authors:XU Tao  HAN Shao-mei  LIU Jun-ting  ZHU Guang-jin  MAO Meng
Abstract:Objective To compare the prevalence of sub-health status between Han people and Tibetan people. Methods Subjects were selected with two-stage clustering sampling method in Sichuan Prvince. The sub-health rating scale developed by Chen Qing-shan. et al. was employed to assess the subhealth status of subjects. The prevalence of sub-health status wag compared between two groups with logistic regression model and binomial regression model after adjusting some confounding factors, such as age, gender, marital status, hypertension, occupation, exercise, overweight, smoking and drinking status. Results Prevalence rates of sub-health status were 52.3%(3611/6911)and 57.9%(1034/1787)in Han and Tibetan people respectively. Logistic regression analyses results showed that the risk of sub-health in Tibetan people was 1.2840 times that in Han people(95%CI 1.1460~1.4390). Negative binomial model indicated that the number of sub-health symptoms was greater in Tibetan people and the risk Was 1.2908(95%CI 1.1820~1.4096). Prevalence rates of all sub-health dimensions were higher in Tibetan people. Conclusions Tibetan people dwelling in high-altitude areas are more susceptible to suffer from sub-health status. The medical researchers should pay more attention to this problem.
Keywords:Zang nationality  Epidemiologic methods  Logistic models  Sub-health status
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