Prevention Research Center, The Pennsylvania State University, 314 Biobehavioral Health Building, University Park, PA 16802, United States.
Department of Demography, The University of Texas at San Antonio, One UTSA Circle, San Antonio, TX 78249, United States.
Prev Med. 2022 Aug;161:107139. doi: 10.1016/j.ypmed.2022.107139. Epub 2022 Jul 7.
The association between women's labor force participation, their alcohol consumption patterns, and mortality risk is unclear. This study assessed all-cause mortality risk among women in the United States, considering their labor force status and alcohol drinking. This study used discrete-time hazard models to examine this association using 2001-2015 National Health Interview Survey-Linked Mortality Files (NHIS-LMF) data (n = 147,714) for women aged 25 to 65 with 5725 deaths in this sample. Complex survey-weighted adjustments and E-values calculations were used to limit quantitative and observational biases. Alcohol consumption and labor force status together lead to substantial mortality risks. There is a statistically significant mortality risk among unemployed women (HR 2.15, 95% CI 1.18-3.91) and women not in labor force (HR 2.38, 95% CI 1.87-3.01). In the stratified models, non-Hispanic blacks (HR 1.48, 95% CI 1.30-1.67) and Asians (HR 1.93, 95% CI 1.54-2.44) have heightened mortality risks borne out of employment. Women with higher psychological distress have a 26% higher risk of all-cause mortality when not in labor force. With the help of cross-sectional data, this study demonstrates that women not in labor force and unemployed women are more likely to be affected by their drinking habits, and their employment status is associated with lower mortality risk. Further research should be focused on cause-specific mortality, gender roles and norms, reasons for unemployment, and comorbidities using more recent data, causal modeling techniques, and an extended mortality follow-up period.
女性劳动力参与、饮酒模式与死亡风险之间的关系尚不清楚。本研究评估了美国女性的全因死亡率,同时考虑了她们的劳动力状况和饮酒情况。本研究使用离散时间风险模型,利用 2001-2015 年全国健康访谈调查-死亡档案(NHIS-LMF)数据(n=147714,年龄在 25-65 岁,样本中有 5725 人死亡),对劳动力状态和饮酒情况进行了综合分析。采用复杂调查加权调整和 E 值计算,以限制定量和观察性偏倚。饮酒和劳动力状态共同导致了较高的死亡率。失业女性(HR 2.15,95%CI 1.18-3.91)和非劳动力女性(HR 2.38,95%CI 1.87-3.01)的死亡率有显著统计学意义。在分层模型中,非西班牙裔黑人(HR 1.48,95%CI 1.30-1.67)和亚洲人(HR 1.93,95%CI 1.54-2.44)的死亡率风险更高。高心理困扰的女性如果不工作,全因死亡率风险会增加 26%。本研究通过横断面数据表明,不工作和失业的女性更容易受到饮酒习惯的影响,她们的就业状况与较低的死亡率风险相关。未来的研究应关注特定原因的死亡率、性别角色和规范、失业原因以及使用更近期的数据、因果建模技术和延长的死亡率随访期,进一步研究共病情况。