4.7 Article

Mental retirement and health selection: Analyses from the US Health and Retirement Study

Journal

SOCIAL SCIENCE & MEDICINE
Volume 178, Issue -, Pages 78-86

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.socscimed.2017.01.019

Keywords

United States; Cognitive aging; Memory; Mental retirement; Longitudinal modeling; Disuse; Regression discontinuity

Funding

  1. National Institute on Aging [U01 AG009740]
  2. National Institute on Aging, Integrative Analysis of Longitudinal Studies on Aging (IALSA) research network [P01 AG043362]

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Background: Research has recently suggested that retirement may decrease cognitive engagement, resulting in cognitive aging. Few studies have systematically documented whether or how selectivity into retirement shapes the relationship between retirement and cognitive aging. Methods: We draw on data from the Health and Retirement Study (1998-2012) to examine the relationship between cognition and retirement for 18,575 labor force participants. Longitudinal regression discontinuity modeling was used to examine performance and decline in episodic memory. Models differentiated three forms of selection bias: indirect and direct selection as well as reverse causation. To further interrogate the disuse hypothesis, we adjust for confounding from health and socioeconomic sources. Results: Results revealed that individuals who retired over the course of the panel were substantially different in terms of health, wealth and cognition when compared to those who remained employed. However, accounting for observed selection biases, significant associations were found linking longer retirement with more rapid cognitive decline. Discussion: This study examined respondents who were in the labor force at baseline and transitioned into retirement. Analyses suggested that those who retired over the course of the panel had worse overall functioning, but also experienced more rapid declines after retirement that increased the rate of aging by two-fold, resulting in yearly losses of 3.7% (95% CI = [3.5, 4.0]) of one standard deviation in functioning attributable to retirement. Results are supportive of the view that retirement is associated with more rapid cognitive aging. (C) 2017 Elsevier Ltd. All rights reserved.

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