Investigation on the sub-health status of migrant workers in Dongguan City / 重庆医学

ABSTRACT

Objective To investigate the prevalence and influencing factors of sub-health status of the migrant workers in Dongguan City,in order to provide scientific preferences for preventing sub-health status.Methods Using the stratified random sampling method,740 migrant workers from ten towns(disetricts) in Dongguan city from August 2015 to August 2016 were recruited in this study.The sub-health measurement scale version 1.0 (SHMS V1.0) was applied to evaluate the sub-health status of migrant workers.The SHMS V1.0 scores were compared among migrant workers with different demographic characteristics,and the multivariate linear regression analysis was utilized to explore the influencing factors.Results A total of 718 valid questionnaires were collected,and the effective recovery rate was 97.03％.The sub-health status was detected in 483 migrant workers,and the prevalence rate of sub-health status was 81.6％.The migrant workers' subscale scores of physical sub-health (PS),mental subhealth (MS),social sub-health (SS) and total scale (TS) were (70.25-4-12.25),(64.21± 13.83),(62.21-4-13.87) and (66.114-11.15),respectively.The PS scale scores among migrant workers with different monthly household incomes per capita,and different inhabit situations;the MS scale scores among migrant workers with different ages,educations,marital status,monthly household incomes per capita,and inhabit situations;the SS scale scores among migrant workers with different genders,educations,and inhabit situations;and TS scores mong migrant workers with different educations,monthly household incomes per capita,and inhabit situations were statistically significant different (P＜0.05).The multivariate linear regression analysis showed that educations and inhabit situations were the influencing factors for TS score (P＜0.05).Conclusion The sub-health status of migrant workers in Dongguan City is serious,and the influencing factors are educations and inhabit situations.