Association between psychosocial factors at work and health outcomes after retirement: a protocol for a systematic review and meta-analysis

BMJ Open. 2019 Aug 27;9(8):e030773. doi: 10.1136/bmjopen-2019-030773.

Abstract

Introduction: The world's population is rapidly ageing, and health among older people is thus an important issue. Several previous studies have reported an association between adverse psychosocial factors at work before retirement and postretirement health. The objective of this systematic review and meta-analysis is to examine the association between psychosocial factors at work and health outcomes after retirement, based on a synthesis of well-designed prospective studies.

Methods and analysis: The participants, exposures, comparisons and outcomes of the studies in this systematic review and meta-analysis are defined as follows: (P) people who have retired from their job, (E) presence of adverse psychosocial factors at work before retirement, (C) absence of adverse psychosocial factors at work before retirement and (O) any physical and mental health outcomes after retirement. Published studies were searched using the following electronic databases: MEDLINE, EMBASE, PsycINFO, PsycARTICLES and Japan Medical Abstracts Society. The included studies will be statistically synthesised in a meta-analysis to estimate pooled coefficients and 95% CIs. The quality of each included study will be assessed using the Risk Of Bias In Non-randomised Studies-of Interventions. For the assessment of meta-bias, publication bias will be assessed by using Egger's test, as well as visually on a funnel plot. Heterogeneity will be assessed using the χ² test with Cochran's Q statistic and I2.

Ethics and dissemination: Results and findings will be submitted and published in a scientific peer-reviewed journal and will be disseminated broadly to researchers and policy-makers interested in the translatability of scientific evidence into good practices.

Prospero registration number: CRD42018099043.

Keywords: cognitive function; health status; mobility; psychosocial factors at work; retirement.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Aged, 80 and over
  • Chronic Disease / prevention & control
  • Health Status*
  • Humans
  • Meta-Analysis as Topic
  • Occupational Health*
  • Patient Education as Topic / organization & administration*
  • Retirement / statistics & numerical data*
  • Selection Bias
  • Systematic Reviews as Topic