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April 30, 2026BMC Geriatrics0 citationsOpen Access

Prevalence and risk factors of loneliness among older adults in China: a nationally representative study

BYBin YuSLS S LiuSZSiyuan Zhang

Key Points

  • This study aims to investigate the prevalence and identify risk factors for loneliness among older adults in China.
  • Utilized data from the 2018 China Longitudinal Aging Social Survey (CLASS) with 9,951 participants aged 60 and older.
  • Employed the Chinese version of the three-item UCLA Loneliness Scale for measurement.
  • Applied logistic regression models to analyze demographic, health, and social factors associated with loneliness.
  • 19.6% of older Chinese adults reported experiencing loneliness.
  • Key predictors included higher depressive symptoms (OR 1.29, 95% CI 1.26–1.32), living alone (OR 1.37, 95% CI 1.14–1.65), and reduced social participation (OR 1.51, 95% CI 1.35–1.71).
  • Demographic factors such as older age, rural residence, lower income, and lower education were also associated with loneliness.

Abstract

Loneliness is increasingly recognized as a significant public health concern, yet limited research has examined its prevalence and risk factors among older adults in China. This study investigated the prevalence and risk factors of loneliness among older adults in China using data from the 2018 China Longitudinal Aging Social Survey (CLASS), a nationally representative study. The sample included 9,951 participants aged 60 and older (mean age = 71.3 years, SD = 7.3; 49.94% female). Loneliness was measured using the Chinese version of the three-item UCLA Loneliness Scale, which was validated as a reliable and effective tool for assessing loneliness in this population. Overall, 19.6% of older Chinese adults reported experiencing loneliness. Logistic regression models identified demographic factors (older age, living in rural areas, lower income, and lower education), health factors (depressive symptoms and functional limitations), and social factors (living alone, reduced social support and social participation) as being associated with loneliness. Among these, higher levels of depressive symptoms (OR 1.29, 95% CI 1.26–1.32), living alone (OR 1.37, 95% CI 1.14–1.65), and reduced social participation (OR 1.51, 95% CI 1.35–1.71) emerged as the strongest predictors of loneliness. The findings highlight the high prevalence of loneliness among older Chinese adults and underscore the need for targeted interventions, especially for individuals with depressive symptoms, those living alone, or those with limited social engagement.

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Cite This Study

Yu et al. (2026) studied this question.

synapsesocial.com/papers/69f2f1be1e5f7920c63876e7https://doi.org/10.1186/s12877-026-07531-6
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Exploration of subgroups and predictors of loneliness among older adults in rural China: A latent profile analysis2024 · 8 citations
  2. 2Decomposition and comparative analysis of differences in loneliness between urban and rural older adults: evidence from a national survey2026
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  4. 4Living alone and the risk of depressive symptoms: a cross-sectional and cohort analysis based on the China Health and Retirement Longitudinal Study2023 · 27 citations
  5. 5Association of loneliness with incident cardiovascular diseases in middle-aged and older Chinese adults2026