NORCE Health and Society, Nygårdsgaten 112, Bergen, 5008, Norway.
Int J Equity Health. 2024 Mar 25;23(1):66. doi: 10.1186/s12939-024-02148-w.
The chronically ill as a group has on average lower probability of employment compared to the general population, a situation that has persisted over time in many countries. Previous studies have shown that the prevalence of chronic diseases is higher among those with lower levels of education. We aim to quantify the double burden of low education and chronic illness comparing the differential probabilities of employment between the chronically ill with lower, medium, and high levels of education and how their employment rates develop over time.
Using merged Norwegian administrative data over a 11-year period (2008-2018), our estimations are based on multivariable regression with labour market and time fixed effects. To reduce bias due to patients' heterogeneity, we included a series of covariates that may influence the association between labour market participation and level of education. To explicitly explore the 'shielding effect' of education over time, the models include the interaction effects between chronic illness and level of education and year.
The employment probabilities are highest for the high educated and lowest for chronically ill individuals with lower education, as expected. The differences between educational groups are changing over time, though, driven by a revealing development among the lower-educated chronically ill. That group has a significant reduction in employment probabilities both in absolute terms and relative to the other groups. The mean predicted employment probabilities for the high educated chronic patient is not changing over time indicating that the high educated as a group is able to maintain labour market participation over time. Additionally, we find remarkable differences in employment probabilities depending on diagnoses.
For the chronically ill as a group, a high level of education seems to "shield" against labour market consequences. The magnitude of the shielding effect is increasing over time leaving chronically ill individuals with lower education behind. However, the shielding effect varies in size between types of chronic diseases. While musculoskeletal, cardiovascular and partly cancer patients are "sorted" hierarchically according to level of education, diabetes, respiratory and mental patients are not.
与一般人群相比,慢性病患者群体的总体就业概率平均较低,这种情况在许多国家都持续存在。先前的研究表明,教育程度较低的人群患慢性病的比例更高。我们旨在量化低教育水平和慢性病的双重负担,比较慢性病患者中教育程度较低、中等和较高者的就业概率差异,并研究其就业比例随时间的变化趋势。
使用挪威行政数据进行了 11 年的合并分析(2008-2018 年),我们的估计是基于具有劳动力市场和时间固定效应的多元回归。为了减少因患者异质性而导致的偏差,我们纳入了一系列可能影响劳动力市场参与度与教育水平之间关联的协变量。为了明确探讨教育水平的“保护效应”随时间的变化,模型中包括了慢性病与教育水平和年份之间的交互效应。
根据预期,高学历患者的就业概率最高,而教育程度较低的慢性病患者最低。不同教育群体之间的差异随着时间的推移而变化,这种变化主要是由教育程度较低的慢性病患者的显著发展所驱动。该群体的就业概率绝对值和与其他群体的相对值均显著下降。高学历慢性患者的平均预测就业概率并未随时间而变化,这表明该群体作为一个整体能够随着时间的推移保持劳动力市场参与度。此外,我们还发现了就业概率取决于诊断的显著差异。
对于慢性病患者群体而言,高教育水平似乎可以“保护”其免受劳动力市场后果的影响。随着时间的推移,保护效应的程度不断增加,导致教育程度较低的慢性病患者落后。然而,保护效应的大小在不同类型的慢性病之间存在差异。虽然肌肉骨骼、心血管和部分癌症患者根据教育水平呈等级排序,但糖尿病、呼吸和精神疾病患者则不是。