东莞市外来农民工亚健康现状调查

Investigation on the sub-health status of migrant workers in Dongguan City

目的探讨东莞市外来农民工的亚健康状况及其影响因素,为亚健康状态的预防提供依据。方法 2015年8月至2016年8月采用分层整群随机抽样方法在东莞市10个镇(区)抽取740名外来农民工,采用亚健康评定量表(SHMS V1.0)进行问卷调查,比较不同人口特征外来农民工SHMS V1.0转化得分,采用多重线性回归分析其影响因素。结果回收有效问卷718份,有效回收率为97.03%。其中483名处于亚健康状态,亚健康现患率为81.6%。外来农民工的生理亚健康(PS)、心理亚健康(MS)、社会亚健康(SS)子量表及亚健康总量表(TS)得分分别为(70.25±12.25)、(64.21±13.83)、(62.21±13.87)和(66.11±11.15)分。不同家庭人均收入及不同居住情况外来农民工PS子量表得分,不同年龄、文化程度、婚姻状况、家庭人均月收入及居住情况外来农民工MS子量表得分,不同性别、文化程度及居住情况外来农民工SS子量表得分不同(P<0.05);不同文化程度、家庭人均月收入及居住情况外来农民工TS得分不同(P<0.05)。多重线性回归分析结果显示,文化程度与居住情况是外来农民工TS得分的影响因素(P<0.05)。结论东莞市外来农民工亚健康状态严重,影响因素为文化程度与居住情况。

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±12.25）,（64.21±13.83）,（62.21±13.87） and （66.11± 11.15）, respectively. The PS scale scores among migrantworkers 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 mhabit 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.