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Title: Does Paid Vacation Leave Predict Depression in Working Americans?: A National Longitudinal Analysis
Resulting in 1 citation.
1. Kim, Daniel
Does Paid Vacation Leave Predict Depression in Working Americans?: A National Longitudinal Analysis
European Journal of Public Health 27, suppl_3 (November 2017): DOI: 10.1093/eurpub/ckx187.453.
Also: https://academic.oup.com/eurpub/article/27/suppl_3/ckx187.453/4556419
Cohort(s): NLSY79
Publisher: Oxford University Press
Keyword(s): Benefits, Fringe; Depression (see also CESD); Gender Differences; Health, Mental; Leisure; Well-Being

Permission to reprint the abstract has not been received from the publisher.

Methods: Data were drawn from the National Longitudinal Survey of Youth 1979, a longitudinal study of 12,686 men and women aged 14–21 years when first surveyed in 1979, and aged 45-52 years in 2010. Multivariate logistic regression models were used to estimate the impact of the number of annual paid vacation leave days measured at age 40 on depression measured using the validated 7-item CES-D scale at age 50, for 3,380 individuals working 30-90 hours/week and reporting no unemployment over the past 2 years. Models were adjusted for demographic and socioeconomic factors, physical health, and weekly hours, and controlled for individual fixed effects to reduce bias.

Results: Each 10 additional days of paid vacation leave predicted a 29% lower odds of depression in women (OR = 0.71; p = 0.01), while there was no association in men (OR = 1.07; p = 0.58; p for interaction = 0.02). A weaker association in Black vs. non-Hispanic White women was observed (p for interaction = 0.04). These findings were robust in sensitivity analyses that included extending the sample to those unemployed for up to 10 weeks over the previous 2 years.

Bibliography Citation
Kim, Daniel. "Does Paid Vacation Leave Predict Depression in Working Americans?: A National Longitudinal Analysis." European Journal of Public Health 27, suppl_3 (November 2017): DOI: 10.1093/eurpub/ckx187.453.