Department of Economics, Yildiz Technical University, Istanbul, Turkey.
Department of Economics, Gebze Technical University, Kocaeli, Turkey.
Work. 2022;71(3):625-639. doi: 10.3233/WOR-205175.
Population aging, caused by an increase in life expectancy and decrease in fertility rates, has created changes and challenges in various spheres, including the labor market. Though health deteriorates with age, more and more older adults choose to stay in the labor force and work into late life.
Understanding the effects of various work conditions on the health of older workers is crucial for designing policies and interventions to ensure healthy late life and maintain a productive workforce. To contribute to this endeavor, this study investigates the relationship between long working hours (LWH) and mortality among older populations.
The study uses the Cox proportional hazards regression model to investigate data from the Health and Retirement Survey (HRS) between the years 1992-2016, a longitudinal nationally representative dataset from the United States.
The results indicate that working 50 hours or more per week is not associated with an increased risk of mortality, for the full sample (1.45 [95% CI: 0.86, 2.45]), for both genders (females 0.51 [95% CI: 0.06, 4.28], males 1.45 [95% CI: 0.81, 2.61]), and for immigrants (female immigrants 0.55 [95% CI: 0.06, 4.75], male immigrants 1.44 [95% CI: 0.79, 2.62]).
This analysis confirms and extends the findings of earlier studies by taking into consideration the potential impact of many demographic, socioeconomic, work-related and health-related factors.
人口老龄化是由预期寿命的延长和生育率的下降引起的,这在各个领域都带来了变化和挑战,包括劳动力市场。尽管随着年龄的增长健康状况会恶化,但越来越多的老年人选择留在劳动力队伍中,并在晚年工作。
了解各种工作条件对老年工人健康的影响对于制定政策和干预措施以确保健康的晚年生活和维持富有成效的劳动力队伍至关重要。为了为此做出贡献,本研究调查了长时间工作(LWH)与老年人群体死亡率之间的关系。
本研究使用 Cox 比例风险回归模型,调查了 1992-2016 年期间美国全国代表性数据集健康与退休调查(HRS)的数据。
结果表明,对于全样本(1.45[95%CI:0.86,2.45])、男女两性(女性 0.51[95%CI:0.06,4.28],男性 1.45[95%CI:0.81,2.61])以及移民(女性移民 0.55[95%CI:0.06,4.75],男性移民 1.44[95%CI:0.79,2.62]),每周工作 50 小时或以上与死亡率增加无关。
本分析通过考虑许多人口统计学、社会经济、与工作相关和与健康相关的因素的潜在影响,证实并扩展了早期研究的发现。