ArticleInnovation in aging2026
Conditional pathways to loneliness in older adults with vision impairment: a decision-tree analysis.
Article in Innovation in aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background and Objectives: The prevalence of vision impairment continues to increase globally due to population growth and aging. Among older adults with vision impairment, loneliness is common. Prior studies assessing loneliness risk have relied on regression-based approaches, which may not capture complex, heterogeneous conditional pathways. We apply a theoretically guided machine learning approach to examine loneliness risk among older adults with age-related macular degeneration (AMD). Research Design and Methods: Using baseline data from 210 adults with AMD (Age Results: Decision tree models demonstrated stable discrimination (AUC Discussion and Implications: These findings suggest that loneliness arises through heterogeneous psychological pathways rather than single risk factors. By identifying conditional configurations of psychosocial and health-related factors, interpretable decision-tree models may inform more targeted screening, evaluation, and intervention strategies.
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