Social determinants of association among diabetes mellitus, visual impairment and hearing loss in a middle-aged or old population: Artificial-neural-network analysis of the Korean longitudinal study of aging (2014-2016)

Kwang Sig Lee, Kun Woo Park

    Research output: Contribution to journalArticlepeer-review

    2 Citations (Scopus)

    Abstract

    Background: This study introduces a new framework based on an artificial neural network (ANN) for testing whether social determinants are major determinants of association among diabetes mellitus, visual impairment and hearing loss in a middle-aged or old population. Methods: The data came from the Korean Longitudinal Study of Aging (2014-2016), with 6120 participants aged 45 years or more. The association was divided into eight categories: one category for having no disease, three categories for having one, three categories for having two and one category for having three. Variable importance, the effect of a variable on model performance, was used to evaluate the hypothesis based on whether family support, socioeconomic status and social activity in Y2014 are among the top 10 determinants of the association in the year 2016 (Y2016). Results: Based on variable importance from the ANN, brothers/sisters cohabiting (0.0167), voluntary activity (0.0148), income (0.0125), family activity (0.0125), parents alive (0.0121), leisure activity (0.0095) and meeting with friends (0.0092) in Y2014 are the top-10 determinants of comorbidity in Y2016. Conclusion: The findings of this study support the hypothesis, highlighting the importance of social determinants for the effective management of the comorbidities of the three diseases.

    Original languageEnglish
    Article number30
    JournalGeriatrics (Switzerland)
    Volume4
    Issue number1
    DOIs
    Publication statusPublished - 2019 Mar 1

    Keywords

    • Association
    • Diabetes mellitus
    • Hearing loss
    • Old population
    • Social determinant
    • Visual impairment

    ASJC Scopus subject areas

    • Health(social science)
    • Ageing
    • Gerontology
    • Geriatrics and Gerontology

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