ArticleBMC public health2025
The Chinese version of the stigma of loneliness scale in people with chronic diseases: an assessment of psychometric characteristics.
Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Investigating the relationship between public community landscape space and older adults' health using structural equation modeling.Frontiers in public health · 2025Article
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5 authors.
Funding
Abstract
backgroundLoneliness is prevalent in patients with chronic diseases and can threaten their health status, treatment process and quality of life. The stigma of loneliness stems from a derogatory and stigmatizing label that individuals possess towards loneliness with the possibility of being socially disadvantaged, which exacerbates the negative impact of loneliness on patients with chronic diseases and jeopardizes social support. However, few studies focused on this theme in patients with chronic diseases. This study aimed to assess the psychometric characteristics of the Chinese version of the Stigma of Loneliness Scale (SLS) among patients with chronic diseases, to provide a validated tool for related research.
methodsThe current study consisted of a two-phase questionnaire survey of 704 patients with chronic diseases. Sample 1 comprised 318 patients (Age:40.87 ± 18.55) with chronic diseases, and the data obtained were used for item analysis and exploratory factor analysis. Sample 2 included 386 patients (Age:40.65 ± 17.08) with chronic diseases, and the resulting data were of use for confirmatory factor analysis, criterion validity, incremental validity, and Cronbach's α coefficient test. Moreover, in Sample 2, the equivalence of SLS in male and female cohorts and in outpatient and inpatient groups was further examined.
resultsIn the exploratory factor analysis, two dimensions were extracted: Self-Stigma of Loneliness (SSL) and Public Stigma of Loneliness (PSL). The confirmatory factor analysis revealed that the first-order two-factor model demonstrated good fit indices (χ
conclusionsThe Chinese version of the SLS showed favorable reliability and validity in patients with chronic disease populations, which can provide instrumental endorsement for recognition and intervention studies of stigma of loneliness.
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