Sean A P Clouston1, Nicole Denier2. 1. Program in Public Health & Department of Preventive Medicine, Stony Brook University, Stony Brook, NY, USA. Electronic address: sean.clouston@stonybrookmedicine.edu. 2. Department of Sociology, McGill University, Montréal, QC, Canada; Department of Sociology, Colby College, Waterville, ME, USA.
Abstract
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.
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.
Authors: Ross Andel; Frank J Infurna; Elizabeth A Hahn Rickenbach; Michael Crowe; Lisa Marchiondo; Gwenith G Fisher Journal: J Epidemiol Community Health Date: 2015-01-20 Impact factor: 3.710
Authors: Sean A P Clouston; Diana Kuh; Pamela Herd; Jane Elliott; Marcus Richards; Scott M Hofer Journal: Int J Epidemiol Date: 2012-10-28 Impact factor: 7.196
Authors: Gill Livingston; Jonathan Huntley; Andrew Sommerlad; David Ames; Clive Ballard; Sube Banerjee; Carol Brayne; Alistair Burns; Jiska Cohen-Mansfield; Claudia Cooper; Sergi G Costafreda; Amit Dias; Nick Fox; Laura N Gitlin; Robert Howard; Helen C Kales; Mika Kivimäki; Eric B Larson; Adesola Ogunniyi; Vasiliki Orgeta; Karen Ritchie; Kenneth Rockwood; Elizabeth L Sampson; Quincy Samus; Lon S Schneider; Geir Selbæk; Linda Teri; Naaheed Mukadam Journal: Lancet Date: 2020-07-30 Impact factor: 79.321