UCD School of Public Health & Population Science, University College Dublin, Woodview House, Belfield, Dublin 4, Ireland.
J Epidemiol Community Health. 2011 Dec;65(12):1123-31. doi: 10.1136/jech.2009.102517. Epub 2010 Jun 27.
To analyse the associations between socio-economic status (SES), measured using occupation, and self-reported health, and to examine the contribution of various material, occupational and psychosocial factors to social inequalities in health in Europe.
This study was based on data from the European Quality of Life Survey (EQLS) carried out in 2003. The total sample consisted of 6038 and 6383 working men and women in 28 countries in Europe (response rates: 30.3-91.2%). Each set of potential material, occupational and psychosocial mediators included between eight and 11 variables. Statistical analysis was performed using multilevel logistic regression analysis.
Significant social differences were observed for self-reported health, manual workers being more likely to be in poor health (OR=1.89, 95% CI 1.46 to 2.46 for men, OR=2.18, 95% CI 1.71 to 2.77 for women). Strong social gradients were found for almost all potential mediating factors, and almost all displayed significant associations with self-reported health. Social differences in health were substantially reduced after adjustment for material, occupational and psychosocial factors, with material factors playing a major role. The four strongest contributions to reducing these differences were found for material deprivation, social exclusion, financial problems and job reward. Taking all mediators into account led to an explanation of the social differences in health by 78-100% for men and women.
The association between SES and poor health may be attributed to differential distributions of several dimensions of material, occupational and psychosocial conditions across occupational groups. Interventions targeting different dimensions might result in a reduction in social inequalities in health.
分析使用职业衡量的社会经济地位(SES)与自报健康之间的关联,并检验各种物质、职业和心理社会因素对欧洲健康不平等的贡献。
本研究基于 2003 年进行的欧洲生活质量调查(EQLS)的数据。总样本包括欧洲 28 个国家的 6038 名和 6383 名在职男性和女性(回应率:30.3-91.2%)。每一组潜在的物质、职业和心理社会中介因素包括 8 到 11 个变量。统计分析采用多层次逻辑回归分析。
自报健康存在显著的社会差异,体力劳动者健康状况较差的可能性更大(男性为 1.89,95%可信区间为 1.46 至 2.46;女性为 2.18,95%可信区间为 1.71 至 2.77)。几乎所有潜在的中介因素都存在强烈的社会梯度,并且几乎都与自报健康存在显著关联。在调整物质、职业和心理社会因素后,健康方面的社会差异大大缩小,物质因素发挥了主要作用。对减少这些差异贡献最大的四个因素是物质匮乏、社会排斥、财务问题和工作回报。考虑到所有中介因素,男女健康差异的解释程度达到 78-100%。
SES 与健康状况不佳之间的关联可能归因于不同职业群体中物质、职业和心理社会条件的几个维度的分布差异。针对不同维度的干预措施可能会减少健康不平等。