ArticleGeriatrics (Basel, Switzerland)2019
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).
Article in Geriatrics (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Explainable Artificial Intelligence for Rehospitalization and Financial Burden of Fertile Women in Orthopedic Care.Healthcare (Basel, Switzerland) · 2026Article
- Explainable artificial intelligence on life satisfaction, diabetes mellitus and its comorbid condition.Scientific reports · 2023Article
- Machine Learning on Early Diagnosis of Depression.Psychiatry investigation · 2022Article
- Review
- Increased Risk of Sensorineural Hearing Loss as a Result of Exposure to Air Pollution.International journal of environmental research and public health · 2020Article
- A systematic review of the relationships among psychosocial factors and coping in adults with type 2 diabetes mellitus.International journal of nursing sciences · 2019Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis 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.
methodsThe 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).
resultsBased 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.
conclusionThe findings of this study support the hypothesis, highlighting the importance of social determinants for the effective management of the comorbidities of the three diseases.
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Registered trials
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