论文部分内容阅读
目的了解广东省就业流动人口伤害发生的主要影响因素,为流动人口伤害预防控制提供科学依据。方法采取按地区和行业分层的多阶段整群抽样方法,在全省范围内抽取国家级和省级调查点各6个,对抽取的制造业、批发零售业、住宿餐饮业、社会服务业、建筑业和其他行业的18岁及以上就业流动人口进行问卷调查,调查内容包括调查对象一般信息、伤害发生情况、就业环境因素、行为因素等,对可能影响流动人口伤害发生的相关因素进行单因素和多因素非条件logistic回归分析。结果 4 035名调查对象中发生1次及以上伤害者262例,伤害发生率为6.5%,标化率为6.7%。男性伤害发生率(7.7%)高于女性(5.1%)(OR=1.610,P<0.01),未婚者伤害发生率(9.3%)高于已婚者(5.3%)(OR=1.537,P<0.01),无就业地城镇居民医疗保险者伤害发生率(6.8%)高于有城镇医保者(1.0%)(OR=6.540,P<0.01),生活压力大者伤害发生率(9.1%)高于生活压力一般或小者(5.4%)(OR=1.379,P<0.05),有中等强度身体活动者伤害发生率(9.5%)高于无身体活动者(5.2%)(OR=1.601,P<0.01),健康状况差者伤害发生率(17.1%)高于一般或好者(6.2%)(OR=2.460,P<0.01),认为伤害不可以预防者伤害发生率(12.4%)高于可以预防者(6.0%)(OR=2.140,P<0.01),步行时违反交通规则者伤害发生率(9.5%)高于从不违反者(5.3%)(OR=1.578,P<0.05),长时间疲劳工作者伤害发生率(8.6%)高于无疲劳工作者(5.5%)(OR=1.404,P<0.05),深圳(OR=15.013,P<0.01)、云浮(OR=9.580,P<0.01)、韶关(OR=7.920,P<0.01)、汕尾(OR=6.224,P<0.05)伤害发生率高于肇庆等地区。结论广东省不同行政地区就业流动人口发生伤害较为普遍,其主要影响因素包括性别、婚姻、健康状况、城镇医保、生活压力、身体活动强度、违反交通规则、长时间疲劳工作等。
Objective To understand the main influencing factors of injury caused by floating population in Guangdong Province and provide a scientific basis for the prevention and control of floating population injuries. Methods A multistage cluster sampling method based on regional and industry stratification was adopted. Six national and provincial investigation points were taken across the province, and six sampling points of manufacturing, wholesale and retail, accommodation and catering, social services , Construction industry and other sectors of the employment of migrants aged 18 and over were surveyed, the survey includes general information of the respondents, the occurrence of injuries, employment environmental factors, behavioral factors, etc., may affect the floating population of related factors occurred single Factors and multivariate non-conditional logistic regression analysis. Results 262 out of 4 035 subjects who had one or more injuries occurred. The injury rate was 6.5% and the standardization rate was 6.7%. The incidence of male injuries was 7.7% higher than that of women 5.1% (OR = 1.610, P <0.01). The incidence of unmarried injuries was 9.3% higher than that of married people 5.3% (OR = 1.537, P < 0.01). The incidence of injury among medical insurance residents in urban areas without employment was higher than that in urban areas (6.8% vs 1.0%) (OR = 6.540, P <0.01) The prevalence rate of moderate-intensity physical activity (9.5%) was higher than that of non-physical activity (5.2%) (OR = 1.601, P <0.05) (P <0.01). The incidence of injury in poor health condition (17.1%) was higher than that in general or good (6.2%) (OR = 2.460, P <0.01) (OR = 2.140, P <0.01). The incidence of injury violation when walking was 9.5% was higher than that of never being violated (OR = 1.578, P <0.05) (OR = 15.013, P <0.01), Yunfu (OR = 9.580, P <0.05), the incidence of fatigue in long-term workers was 8.6% higher than that in non-fatigue workers <0.01), Shaoguan (OR = 7.920, P <0.01), Shanwei (OR = 6.224, P <0.05). Conclusions Injuries of employed floating population in different administrative regions of Guangdong Province are more common. The main influencing factors include gender, marriage, health status, urban medical insurance, living pressure, physical activity intensity, traffic violation rules and prolonged fatigue work.