Main occupation complexity and later‐life cognitive function among older adults in Brazil and Mexico

Abstract Background Occupation complexity during adulthood may contribute to cognitive reserve in later life. Research on occupational complexity and cognitive function has focused on high‐income countries, where there is a large proportion of individuals with complex occupations. Thus, it is important to investigate this association in the context of low‐ and middle‐income countries where there is greater variance in occupation complexity and where there is a higher proportion of lower‐complexity occupations due to educational and other socioeconomic limitations. We use nationally representative data from the two largest countries in Latin America, Mexico and Brazil, to assess the association between main occupation complexity and cognitive function. Method The sample included adults 50 years or older from the 2018 waves of the Brazilian Longitudinal Study of Aging (ELSI) (n = 9,916) and the Mexican Health and Aging Study (MHAS) (n = 16,171). Participants were classified as cognitively impaired or not impaired using cognitive performance scores and a regression‐based approach compared to a normative sample. Main occupation was categorized as unskilled (agricultural workers, cooks, artisans, and maintenance workers), semiskilled (clerks, customer service workers, and trades workers), and skilled (doctors, engineers, managers, and teachers). We used logistic regression models to estimate the association between occupational complexity and cognitive function adjusted for sociodemographic variables, chronic diseases, and health behaviors. Result Participants of the ELSI had a mean age of 64.0±9.6 years, median years of education of 4 years, 50% were women, 48% had unskilled occupations, and 6% were categorized as cognitively impaired (Table 1). Participants of the MHAS had a mean age of 62.8±10.3 years, median years of education of 6 years, 56% were women, 65% had unskilled occupations, and 7% were categorized as cognitively impaired (Table 1). Participants with semiskilled occupations had lower odds of cognitive impairment than those with unskilled occupations in both cohorts (Table 2). There was no association between main lifetime skilled occupations and cognitive impairment in either cohort (Table 2). Conclusion Higher occupational complexity may contribute to later‐life cognitive reserve. The results of this study suggest that increasing opportunities for higher‐complexity occupations in Latin America may benefit efforts to prevent cognitive impairment in this region.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.088157
Primary Topic
Retirement, Disability, and Employment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Main occupation complexity and later‐life cognitive function among older adults in Brazil and Mexico

Jaqueline Avila, Rebeca Wong, Laiss Bertola, Gustavo C. Medeiros et al.
Alzheimer s & Dementia
Retirement, Disability, and Employment
article

Main occupation complexity and later‐life cognitive function among older adults in Brazil and Mexico

Jaqueline Avila, Rebeca Wong, Laiss Bertola, Gustavo C. Medeiros, Cleusa P. Ferri, Cláudia Kimie Suemoto, Natália Gomes Gonçalves
article en

Abstract

Abstract Background Occupation complexity during adulthood may contribute to cognitive reserve in later life. Research on occupational complexity and cognitive function has focused on high‐income countries, where there is a large proportion of individuals with complex occupations. Thus, it is important to investigate this association in the context of low‐ and middle‐income countries where there is greater variance in occupation complexity and where there is a higher proportion of lower‐complexity occupations due to educational and other socioeconomic limitations. We use nationally representative data from the two largest countries in Latin America, Mexico and Brazil, to assess the association between main occupation complexity and cognitive function. Method The sample included adults 50 years or older from the 2018 waves of the Brazilian Longitudinal Study of Aging (ELSI) (n = 9,916) and the Mexican Health and Aging Study (MHAS) (n = 16,171). Participants were classified as cognitively impaired or not impaired using cognitive performance scores and a regression‐based approach compared to a normative sample. Main occupation was categorized as unskilled (agricultural workers, cooks, artisans, and maintenance workers), semiskilled (clerks, customer service workers, and trades workers), and skilled (doctors, engineers, managers, and teachers). We used logistic regression models to estimate the association between occupational complexity and cognitive function adjusted for sociodemographic variables, chronic diseases, and health behaviors. Result Participants of the ELSI had a mean age of 64.0±9.6 years, median years of education of 4 years, 50% were women, 48% had unskilled occupations, and 6% were categorized as cognitively impaired (Table 1). Participants of the MHAS had a mean age of 62.8±10.3 years, median years of education of 6 years, 56% were women, 65% had unskilled occupations, and 7% were categorized as cognitively impaired (Table 1). Participants with semiskilled occupations had lower odds of cognitive impairment than those with unskilled occupations in both cohorts (Table 2). There was no association between main lifetime skilled occupations and cognitive impairment in either cohort (Table 2). Conclusion Higher occupational complexity may contribute to later‐life cognitive reserve. The results of this study suggest that increasing opportunities for higher‐complexity occupations in Latin America may benefit efforts to prevent cognitive impairment in this region.

Alzheimer s & DementiaVol. 20(S4)
Universidade de São Paulo (BR), University of Massachusetts Boston (US), The University of Texas Medical Branch at Galveston (US), Universidade Federal de São Paulo (BR)
Openalex Percentile: Top 50%
Retirement, Disability, and Employment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.