Smartphone Addiction, Use Preferences, and Depression Among Older Adults in the Digital Context: Machine Learning Analysis of Survey Data
Sheng Chen, Yue Song, Chien-chung Huang
TL;DR
Older adults who are addicted to smartphones and avoid interactive use are more likely to experience depression, according to a study in Guangzhou.
Contribution
The study identifies distinct configurations linking smartphone addiction and use preferences to depression in older adults.
Findings
High smartphone addiction and low interactive use are linked to depression through mechanisms like social exclusion and relational deficiencies.
Unmarried men with low education and socially withdrawn individuals with higher resources are at higher risk for depression.
Promoting healthier digital behaviors could reduce depression risk in vulnerable older adults.
Abstract
The increasing use of smartphones among older adults offers new opportunities for social connection but may also pose risks associated with adverse mental health outcomes, including depression. This study examined the relationship between smartphone use and depression among older adults in Guangzhou, China, to identify key predictors and complex configurations associated with depression. Using a hybrid analytic approach applied to survey data from 2585 older adults in Guangzhou, machine learning methods first identified the strongest predictors of depression. Subsequent fuzzy-set qualitative comparative analysis delineated distinct configurations associated with depression. The analysis identified high levels of smartphone addiction and a low preference for interactive use as central configurations associated with depression. These patterns appeared to operate through 2 distinct…
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Taxonomy
TopicsImpact of Technology on Adolescents · Technology Use by Older Adults · Digital Mental Health Interventions