The role of multidimensional health patterns over time in older workers' labor force participation

BACKGROUND: A non-negligible share of workers is affected by adverse health at the end of their careers. While many of them drop out of the labor force, others remain, prompting the question of how various health indicators interact to influence these different pathways. Therefore, we investigate the effect of multidimensional health patterns on labor force participation among older workers. METHODS: We used six-year-longitudinal data from 5007 older workers (Mean age: 55.8 years; 55.9 % female) from the Survey of Health, Ageing and Retirement in Europe. First, we conducted a latent transition analysis with four indicators (chronic diseases, limitations with activities, perceived health, and depression) to identify multidimensional health patterns. Second, we examined individual change in these patterns over time and their association with workers’ job situations and changes in work hours four years later using Wald-tests. RESULTS: We identified four multidimensional health patterns with high structural stability over time (ranging from <.005 to .25): (1) Overall healthy workers, (2) workers with moderate activity limitations and low perceived health, (3) overall unhealthy workers, and (4) physically healthy workers with low perceived health and depressive symptoms. Furthermore, individuals predominantly remain in the same pattern over time, except for pattern (4), where 56% of the individuals transition to pattern (1). Moreover, we found differences between the patterns in job situation (p < .001) and changes in work hours (p < .001) four years later with patterns (2) and (4) showing the greatest reduction in working hours. CONCLUSIONS: The high rate of transitions from the pattern (4) to the more favorable pattern (1) may be explained by the relatively high potential for recovery from depression. Our findings suggest that interventions among older workers with depressive symptoms and moderate activity limitations may improve their chances to remain in the labor force. KEY MESSAGES: • We identified four largely stable multidimensional health patterns over time. • Older workers with moderate activity limitations and low perceived health reduced their work hours most strongly.