Department of Public Administration, School of Politics and Public Administration, South China Normal University, Guangzhou, China.
Department of Health Policy and Management, School of Public Health, Sun Yat-sen University, Guangzhou, China.
PLoS One. 2022 Aug 22;17(8):e0272199. doi: 10.1371/journal.pone.0272199. eCollection 2022.
The purpose of this paper is to describe the prevalence of depressive symptoms in the Chinese labor force; to explore the relationship between depressive symptoms and socioeconomic status among the Chinese labor force, including both the structural determinants and the intermediary determinants of health inequities; and to identify vulnerable populations who would benefit from intervention measures.
Data were from the China Labor-Force Dynamics Survey (CLDS) 2016. The Center for Epidemiologic Studies Depression Scale (CES-D) was used to assess depressive symptoms. The World Health Organization's theoretical framework of the social determinants of health was adopted to analyze the relationship between social determinants and depressive symptoms.
Of the participants in the research from the Chinese labor force, 17.34% were identified as having depressive symptoms. Depression was significantly related to socioeconomic factors such as hukou status (p < 0.05 in the age < 45 model), education (p < 0.01 in all five models), employment (p < 0.05 in the male model), income (p < 0.05 in all five models), and self-assessed social class position (p < 0.01 in all five models). Intermediary factors were also related to depressive symptoms, such as gender (p < 0.001 in the overall model), age (p < 0.05 in the overall model), marriage (p < 0.05 in the female model), occupational exposure (p < 0.01 in the overall model), exercise (p < 0.05 in all five models), and health insurance (p < 0.05 in the overall model). The results showed that low socioeconomic status was associated with an increased risk of depression and there were some gradient changes in the distribution of depressive symptoms in socioeconomic status.
The findings showed that depression symptoms are significantly related to structural determinants and intermediary determinants in China's labor force. There are some gradient changes in the distribution of depressive symptoms among people of different socioeconomic status. Low socioeconomic status is associated with increased risk of depression. Women, older people, and single and divorced people are the relative vulnerable groups in China's labor force.
本文旨在描述中国劳动力中抑郁症状的流行情况;探讨中国劳动力中抑郁症状与社会经济地位之间的关系,包括健康不平等的结构决定因素和中介决定因素;并确定需要干预措施的弱势群体。
数据来自中国劳动力动态调查(CLDS)2016 年的数据。采用中心流行病学研究抑郁量表(CES-D)评估抑郁症状。采用世界卫生组织健康社会决定因素理论框架分析社会决定因素与抑郁症状之间的关系。
在所研究的中国劳动力参与者中,有 17.34%被确定为患有抑郁症状。抑郁与社会经济因素显著相关,如户口状况(年龄<45 岁模型中 p<0.05)、教育程度(所有五个模型中 p<0.01)、就业状况(男性模型中 p<0.05)、收入(所有五个模型中 p<0.05)和自我评估的社会阶层地位(所有五个模型中 p<0.01)。中介因素也与抑郁症状相关,如性别(总体模型中 p<0.001)、年龄(总体模型中 p<0.05)、婚姻(女性模型中 p<0.05)、职业暴露(总体模型中 p<0.01)、锻炼(所有五个模型中 p<0.05)和健康保险(总体模型中 p<0.05)。结果表明,社会经济地位低与抑郁风险增加有关,且抑郁症状在社会经济地位中的分布存在一定的梯度变化。
研究结果表明,抑郁症状与中国劳动力中的结构决定因素和中介决定因素显著相关。不同社会经济地位人群的抑郁症状分布存在一定的梯度变化。社会经济地位低与抑郁风险增加有关。女性、老年人、单身和离婚人群是中国劳动力中的相对脆弱群体。