Mackowiak Malwina M, Brinks Ralph, Hoyer Annika, Linnenkamp Ute, Piedboeuf-Potyka Katharina, Neuhäuser Markus, Kuss Oliver, Tönnies Thaddäus
Koblenz University of Applied Sciences, RheinAhrCampus, Department of Mathematics and Technology, Remagen, Germany.
Chair for Medical Biometry and Epidemiology, Witten/Herdecke University, Faculty of Health/School of Medicine, Witten, Germany.
Ger Med Sci. 2025 Jun 30;23:Doc04. doi: 10.3205/000340. eCollection 2025.
Diabetes is associated with lower labour force participation. The proportion of people having diabetes is higher among people with a low socio-economic position. We aimed to describe socio-economic differences in the association between diabetes and labour force participation in Germany.
Based on repeated cross-sectional data from the German Socio-Economic Panel Study, the probability for participating in labour force was modelled with a logistic regression model including diabetes status, sex, socio-economic position, survey year and age as independent variables. Analyses accounted for the complex survey design of the study and used post-stratification weights. For easier interpretation, we estimated relative risks instead of odds ratios from logistic regression using post-estimation techniques. Relative labour force participation shortfall [%] was calculated as (1 - relative risk) x 100.
Labour force participation among people without diabetes was 82.2% compared to 55.9% among people with diabetes. Labour force participation shortfall was higher for low socio-economic position values and decreased with increasing socio-economic position. Labour force participation shortfall was generally larger among women while the association between labour force participation shortfall and socio-economic position was stronger among men.
Diabetes-associated labour force participation shortfall mainly affects people with low socio-economic position, which indicates that this population subgroup not only carries a higher risk of diabetes, but also might be more strongly affected by its negative impact on productivity. Future studies aiming to quantify diabetes-associated productivity losses should take associations specific to socio-economic position into account.
糖尿病与劳动力参与率较低有关。社会经济地位较低人群中的糖尿病患者比例更高。我们旨在描述德国糖尿病与劳动力参与之间关联的社会经济差异。
基于德国社会经济面板研究的重复横断面数据,使用逻辑回归模型对参与劳动力的概率进行建模,该模型将糖尿病状态、性别、社会经济地位、调查年份和年龄作为自变量。分析考虑了研究的复杂调查设计并使用了事后分层权重。为便于解释,我们使用事后估计技术从逻辑回归中估计相对风险而非比值比。相对劳动力参与不足率[%]计算为(1 - 相对风险)×100。
无糖尿病者的劳动力参与率为82.2%,而糖尿病患者为55.9%。社会经济地位较低者的劳动力参与不足率更高,且随社会经济地位提高而降低。女性的劳动力参与不足率总体上更大,而男性中劳动力参与不足率与社会经济地位之间的关联更强。
糖尿病相关的劳动力参与不足主要影响社会经济地位较低的人群,这表明该亚人群不仅患糖尿病风险更高,而且可能受糖尿病对生产力负面影响的影响更大。旨在量化糖尿病相关生产力损失的未来研究应考虑特定于社会经济地位的关联。