Evaluation Of Sub-health Questionnaire And Cross-sectional Study Of Non-physical Workers In Guangzhou

Objective: This study is to evaluate the reliability and validity of the sub-healthstatus questionnaire, and according to the investigation as well as the analysis aboutthe sub-health status and the related factors that affects the non-physical workers inGuangzhou, providing scientific guidances of prevention and control measures inorder to improve the non-physical workers’ sub-health status and provide a scientificbasis for further research.Methods: The questionnaire of sub-health state was divided into physicalsub-health, psychological sub-health and social adaptation sub-health, whichcomposed of16entries. Cluster sampling was carried on a total of3726non-physicalworkers in Guangdong at the age of20-65. To evaluate the reliability and validity ofthe sub-health status questionnaire by t-test, correlation coefficient method, reliabilityanalysis (Spearman-Brown formula and Cronbach’s alpha) and factor analysisconducted (principal component analysis and measured model). Based on thesestudies, cluster sampling was carried on a total of3000non-physical workers inGuangdong. We use Chi-square test and non-conditional logistic regression analysisevaluation of sub-health.Results: Through item analysis, reliability and validity evaluation, sub-healthquestionnaire of16items had good specificity and sensitivity. Sub-health statequestionnaire is divided into two dimensions, which are physical sub-health,psychological and social adaptation sub-health. There are8items in physicalsub-health dimension, and8items in psychological and social adaptation sub-healthdimensions. Sub-health status questionnaire Cronbach’s α coefficient was0.857, split-half reliability coefficient was0.895. Correlation analysis between sub-healthstatus questionnaire and the symptom checklist (SCL-90) of somatization, sub-healthsomatic symptom checklist, depression scale (SDS), anxiety scale (SAS), and totalscore of criterion-related validity were0.446,0.508,0.603,0.683(P<0.001). Thereare3common factors extracted by factor analysis and the cumulative contributionrate is55.499%. The first factor of sub health dimensions (accounted for21.768%),the second factor is the mental sub health dimensions (accounted for17.488%); thethird factor is the sub-health social adaptation dimensions (accounted for16.243%). Confirmatory factor analysis of sub-health state model shows that χ2was1748.374,GFI was0.948, NFI was0.923, TLI was0.911, CFI was0.927, RMSEA was0.063.The sub-health incidence of non-physical workers in Guangzhou City is76.9%. Thesub-health incidence of male is64.5%while the female’s is80.4%（χ2=94.909,P<0.05）. The incidence of sub-health reduces with age. The sub-health incidence rateof educators, judicial workers, farming and forestry enterprise personnel, street officestaff were78.7%,72.3%,57.4%and54.6%(χ2=103.204, P<0.001). The incidence ofsub-health reduces with age and increase with education level rises (P <0.001).Multivariate unconditional logistic regression analysis reveals that age, sleeping time,exercise frequency, regular time of exercise, grip and BMI are the protective factors offatigue, while the working time, seated working time of female who work in schoolsand courts, smoking, fancy of meat, noise pollution are dangerous factors of fatigue（P<0.05）.Conclusions:1. Through the project selection, reliability and validity of the evaluation, wecompleted the evaluation of sub-health status questionnaire. The questionnaires werecredible and effective, epidemiological investigations can be carried out in a largesample of the crowd.2. The fatigue incidence of non-manual workers of Guangzhou City is higher whichwomen, young people, educators and judicial workers is a high-risk population.3. The fatigue had many factors that including social factors and physical factors.Therefore, to strengthen the government and social concerns of non-physical workers; while non-manual workers to a reasonable lifestyle, regular exercise; develop goodeating habits and lifestyle; strengthen self-regulation, and promote physical andmental health, to improve people’s ability to work and quality of life.