Analyses for risk factors of sub-health status in Tibetan people with logistic regression model and negative binomial model
10.3969/j.issn.1673-8225.2009.33.043
- VernacularTitle:用logisitic回归模型和负二项回归模型分析藏族人群亚健康状态的危险因素
- Author:
Tao XU
;
Junting LIU
;
Shaomei HAN
;
Guangjin ZHU
;
Meng MAO
- Publication Type:Journal Article
- From:
Chinese Journal of Tissue Engineering Research
2009;13(33):6597-6600
- CountryChina
- Language:Chinese
-
Abstract:
BACKGROUND:Researches about sub-health status in general community population are rare,especially in minor nationalities.OBJECTIVE:To explore the sub-health status and its risk factors with logistic regression model and negative binomial regression model in Tibetan people.DESIGN,TIME AND SETTING:A cross-sectional study was performed among subjects selected from Songpan county in the Aba Tibetan and Qiang Autonomous Prefecture of Sichuan Province on September 2007.PARTICIPANTS:A total of 1791 Tibetan subjects from were recruited from Songpan county in the Aba Tibetan and Qiang Autonomous Prefecture of Sichuan Province and were involved in this study,among which 1763 subjects completed the sub-health questionnaire.Their average age was 27 years,ranging from 10 to 80.There were 731 male subjects (41.5%)and 1032 female ones (58.5%).All subjects were informed of the survey regimen.METHODS:The sub-health rating scale framed by Chen Qingshan et al was used to assess the sub-health status of subjects with stratified and cluster sampling,including the prevalence rate of sub-health status,the number of sub-health symptoms and various dimensional prevalence.MAIN OUTCOME MEASURES:Risk factors of sub-health status with logistic regression model and negative binomial regression model.RESULTS:There were 1038 subjects suffering from one or more sub-health symptoms,and they were considered as being in the sub-health status with the prevalence of sub-health 58.9%.The split-half reliability and internal consistency of the scale were separately 0.7658 and 0.8154.Logistic regression results indicated that the seniors (P=0.0004),female (P＜0.0001),marriage status (P=0.0008),mental labor (P=0.0021)and smoking (P＜0.0001)were main contributing factors of sub-health status.However,marriage status (P=0.0689)and occupation (P=0.1398)weren't statistically significant in negative binomial regression analyses.CONCLUSION:Tibetan populations living in high altitude are also suffering from sub-health status and should be given more attention.Further more negative binomial regression model could be popularized to analyze sub-health and its influencing factors.
