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  11. Urban-rural Disparities In The Prevalence And Trends Of Loneliness Among Chinese Older Adults And Their Associated Factors: Evidence From Machine Learning Analysis.
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  11. Urban-rural Disparities In The Prevalence And Trends Of Loneliness Among Chinese Older Adults And Their Associated Factors: Evidence From Machine Learning Analysis.

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Urban-rural disparities in the prevalence and trends of loneliness among Chinese older adults and their associated factors: Evidence from machine learning analysis.

Boyu Zhu1, Lin Wu1

  • 1School of Sociology, Wuhan University, Wuhan, Hubei, China.

Applied Psychology. Health and Well-Being
|February 18, 2025

View abstract on PubMed

Summary
This summary is machine-generated.
Keywords:
lonelinessmachine learningolder adultsrandom forest

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Older adults

Area of Science:

  • Gerontology and Public Health
  • Social Sciences
  • Psychology

Background:

  • Rapid global aging necessitates understanding older adults' well-being.
  • Loneliness in older adults impacts psychological health.
  • Urban-rural disparities in aging experiences are significant.

Purpose of the Study:

  • Identify key predictors of loneliness in older adults.
  • Examine urban-rural differences in these predictors.
  • Analyze temporal trends in loneliness predictors.

Main Methods:

  • Utilized China Family Panel Studies (CFPS) data (2016, 2018, 2020).
  • Employed a random forest classifier to analyze 30 variables.
  • Compared predictive factors between urban and rural older adults.
urban–rural differences

Main Results:

  • Rural older adults report higher loneliness than urban counterparts.
  • Common predictors include sleep quality, marital status, future outlook, family dinners, life satisfaction, recent physical discomfort, and relationship with children.
  • Urban-specific predictors: TV/movie duration, family size, net worth. Rural-specific predictors: self-rated health, health change, per capita income.
  • Urban-rural differences in predictors show evolving trends over time.

Conclusions:

  • Key factors influencing older adult loneliness identified.
  • Significant urban-rural differences in loneliness predictors exist and warrant attention.
  • Addressing these factors is crucial for promoting older adults' psychological health and mitigating urban-rural disparities.