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Dataset Information

Identifying social isolation profiles among young and middle-aged patients with cancer in Western China: A latent profile analysis.


ABSTRACT:

Objective

To identify the various profiles of social isolation among 18-59-year-old patients with cancer in Western China and examine their demographic, clinical, and cultural predictors.

Methods

This cross-sectional study included 300 patients from a tertiary hospital who completed standardized assessments of social isolation (Social Avoidance Scale, UCLA Loneliness Scale) and family functioning. Latent Profile Analysis (LPA) was used to identify the subgroups, and multinomial logistic regression was used to analyze predictors of the profiles.

Results

Three distinct latent profiles were identified: "avoidance-dominant" (52.3%), which was characterized by high levels of social avoidance (12.52 ​± ​1.38) and low loneliness (30.87 ​± ​6.89), "loneliness-dominant" (27.0%

SUBMITTER: Yang L 

PROVIDER: S-EPMC12538079 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature