Loneliness Trajectories and Dementia Risk Among Mexican American Older Adults: A Latent Growth Model Approach

Abstract Objective Loneliness is an important yet understudied psychosocial determinant of health among Mexican American older adults. This study examines whether loneliness trajectories predict dementia risk in this population, considering the role of functional ability, socioeconomic factors, and psychological well-being. Method Data were drawn from Waves 7, 8, and 9 of the Hispanic Established Populations for the Epidemiologic Study of the Elderly (HEPESE). A latent growth model was used to estimate baseline loneliness and its change over time. Predictors included marital status, living arrangement, Instrumental Activities of Daily Living (IADL) limitations, financial strain, and depressive symptoms. Dementia status was assessed at Wave 9 using the Mini-Mental State Examination (MMSE). Results On average, loneliness was low at baseline but increased over time. Living alone and depressive symptoms were associated with higher initial loneliness, while IADL limitations and financial strain predicted steeper increases. Both higher baseline loneliness and greater increases over time were linked to a higher risk of dementia at Wave 9, even after adjusting for covariates. Discussion These findings suggest that loneliness trajectories contribute to dementia risk among Mexican American older adults. Addressing loneliness, particularly among individuals living alone or experiencing financial and functional difficulties, may be key to mitigating cognitive decline in this population.

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Publication Details

Journal
Innovation in Aging
Published
2025-12-01
DOI
https://doi.org/10.1093/geroni/igaf122.1761
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
0.00
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article

Loneliness Trajectories and Dementia Risk Among Mexican American Older Adults: A Latent Growth Model Approach

Suyoung Kim
Innovation in Aging
Health disparities and outcomes
article

Loneliness Trajectories and Dementia Risk Among Mexican American Older Adults: A Latent Growth Model Approach

Suyoung Kim
article en

Abstract

Abstract Objective Loneliness is an important yet understudied psychosocial determinant of health among Mexican American older adults. This study examines whether loneliness trajectories predict dementia risk in this population, considering the role of functional ability, socioeconomic factors, and psychological well-being. Method Data were drawn from Waves 7, 8, and 9 of the Hispanic Established Populations for the Epidemiologic Study of the Elderly (HEPESE). A latent growth model was used to estimate baseline loneliness and its change over time. Predictors included marital status, living arrangement, Instrumental Activities of Daily Living (IADL) limitations, financial strain, and depressive symptoms. Dementia status was assessed at Wave 9 using the Mini-Mental State Examination (MMSE). Results On average, loneliness was low at baseline but increased over time. Living alone and depressive symptoms were associated with higher initial loneliness, while IADL limitations and financial strain predicted steeper increases. Both higher baseline loneliness and greater increases over time were linked to a higher risk of dementia at Wave 9, even after adjusting for covariates. Discussion These findings suggest that loneliness trajectories contribute to dementia risk among Mexican American older adults. Addressing loneliness, particularly among individuals living alone or experiencing financial and functional difficulties, may be key to mitigating cognitive decline in this population.

Innovation in AgingVol. 9(Supplement_2)
University of Chicago (US)
Openalex Percentile: Top 27%
Health disparities and outcomes
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