Data from: Health-related lifestyle behaviors among male and female rural-to-urban migrant workers in Shanghai, China

Background: Lifestyle behaviors significantly impact health, yet remain poorly defined in Chinese rural-to-urban migrants. Methods: In a cross-sectional study of health-related behaviors of 5484 rural-to-urban migrants who had worked in Shanghai for at least six months, we assessed the contribution of demographics and physical and mental health to lifestyle behaviors in male and female participants by multiple stepwise cumulative odds logistic regression. Results: Respondents were 51.3% male. 9.9% exhibited abnormal blood pressure; 27.0% were overweight or obese; 11.2% reported abnormal mental health; 36.9% reported healthy lifestyle. Multiple stepwise cumulative odds logistic regression indicated that men working in manufacturing reported less unhealthy lifestyle than those in hospitality (cumulative odds ratio (COR) = 1.806, 95%CI 1.275–2.559) or recreation/leisure (COR = 3.248, 95%CI 2.379–4.435); and women working in manufacturing and construction reported less unhealthy lifestyle than those in all other sectors. Unhealthy lifestyle was associated with small workplaces for men (COR = 1.422, 95%CI 1.154–1.752), working more than 8 or 11 hours per day for women and men, respectively, and earning over 3500 RMB in women (COR = 1.618, 95%CI 1.137–2.303). Single women and women who had previously resided in three or more cities were more likely to report unhealthy lifestyle (COR = 2.023, 95%CI 1.664–2.461, and COR = 1.311, 95%CI 1.072–1.602, respectively). Abnormal mental status was also correlated with unhealthy lifestyle in men (COR = 3.105, 95%CI 2.454–3.930) and women (COR = 2.566, 95%CI 2.024–3.252). Conclusions: There were different risk factors of unhealthy lifestyle score in male and female rural-to-urban migrants, especially in number of cities experienced, salary, marital status, work place scale. Several demographic groups: employment sectors (e.g. hospitality and recreation/leisure), working conditions (e.g. long hours) and abnormal mental status were associated with unhealthy lifestyle behaviors in Chinese rural-to-urban migrants, and health interventions should be targeted to these groups.背景：生活方式行为对健康具有显著影响，但针对中国乡城迁移人群的此类行为仍缺乏明确界定。方法：本研究针对5484名在上海务工至少6个月的乡城迁移人群开展健康相关行为横断面研究，采用多重逐步累积比数logistic回归，评估人口统计学特征、躯体与心理健康对男女参与者生活方式行为的影响。结果：本次研究的受访者中男性占比51.3%。9.9%的受访者存在血压异常；27.0%超重或肥胖；11.2%自述心理健康状态异常；36.9%拥有健康的生活方式。多重逐步累积比数logistic回归分析结果显示，从事制造业的男性受访者，其不健康生活方式的比例低于从事餐饮住宿业（累积比数比（COR）=1.806，95%置信区间1.275~2.559）或娱乐休闲业的男性受访者；而从事制造业与建筑业的女性受访者，其不健康生活方式的比例低于其他所有行业的女性。男性的不健康生活方式与小型工作场所相关（COR=1.422，95%置信区间1.154~1.752）；男女日均工作时长分别超过8小时与11小时时，均与不健康生活方式相关；女性月收入超过3500元也与其不健康生活方式相关（COR=1.618，95%置信区间1.137~2.303）。未婚女性以及曾在3个及以上城市居住过的女性，更易自述存在不健康生活方式（对应的COR分别为2.023，95%置信区间1.664~2.461，与1.311，95%置信区间1.072~1.602）。男性与女性的心理健康状态异常均与不健康生活方式相关（男性COR=3.105，95%置信区间2.454~3.930；女性COR=2.566，95%置信区间2.024~3.252）。结论：乡城迁移的男性与女性人群，其不健康生活方式评分的危险因素存在差异，尤其体现在过往居住城市数量、收入水平、婚姻状况以及工作场所规模方面。多项人口学特征相关群体，包括不同就业行业（如餐饮住宿业、娱乐休闲业）、长工时等不良工作条件人群，以及心理健康状态异常的群体，均与中国乡城迁移人群的不健康生活方式行为相关，因此健康干预应针对这些群体精准开展。