Mid-life employment trajectories and subsequent memory function and rate of decline in rural South Africa, 2000–22

Author:

Yu Xuexin1ORCID,Kabudula Chodziwadziwa W2,Wagner Ryan G2,Bassil Darina T3,Farrell Meagan T3ORCID,Tollman Stephen M2,Kahn Kathleen2,Berkman Lisa F23,Rosenberg Molly S4ORCID,Kobayashi Lindsay C125ORCID

Affiliation:

1. Centre for Social Epidemiology and Population Health, Department of Epidemiology, University of Michigan School of Public Health , Ann Arbor, MI, USA

2. MRC/Wits Rural Public Health & Health Transitions Research Unit (Agincourt), University of Witwatersrand , Johannesburg, South Africa

3. Harvard Centre for Population and Development Studies, Harvard T.H. Chan School of Public Health , Cambridge, MA, USA

4. Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington , Bloomington, IN, USA

5. Institute for Healthcare Policy and Innovation, University of Michigan , Ann Arbor, MI, USA

Abstract

Abstract Aim To investigate mid-life employment trajectories in relation to later-life memory function and rate of decline in rural South Africa. Methods Data from the Agincourt Health and Socio-Demographic Surveillance System were linked to the ‘Health and Ageing in Africa: A Longitudinal Study of an INDEPTH Community in South Africa’ (HAALSI) in rural Agincourt, South Africa (N = 3133). Employment was assessed every 4 years over 2000–12 as being employed (0, 1, 2 and ≥3 time points), being employed in a higher-skill occupation (0, 1, 2 and ≥3 time points) and dynamic employment trajectories identified using sequence analysis. Latent memory z-scores were assessed over 2014–22. Mixed-effects linear regression models were fitted to examine the associations of interest. Results Sustained mid-life employment from 2000–12 (β = 0.052, 95% CI: -0.028 to 0.132, 1 vs 0 time points; β = 0.163, 95% CI: 0.077 to 0.250, 2 vs 0 time points; β = 0.212, 95% CI: 0.128 to 0.296, ≥3 vs 0 time points) and greater time spent in a higher-skill occupation (β = 0.077, 95% CI: -0.020 to 0.175, 1 vs 0 time points; β = 0.241, 95% CI: 0.070 to 0.412, 2 vs 0 time points; β = 0.361, 95% CI: 0.201 to 0.520, ≥3 vs 0 time points) were associated with higher memory scores in 2014/15, but not subsequent rate of memory decline. Moving from a lower-skill to higher-skill occupation was associated with higher memory function, but a faster rate of decline over 2014–22. Conclusions Sustained mid-life employment, particularly in higher-skill occupations, may contribute to later-life memory function in this post-Apartheid South African setting.

Funder

National Institute of Aging

National Institutes of Health

Wellcome Trust

Medical Research Council

Publisher

Oxford University Press (OUP)

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