Depressive Symptom Profiles Among Chinese Older Adults with Disabilities, 2018 Survey

Chinese older adults with disabilities from the 2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS). The dataset contains results from a latent profile analysis of depressive symptoms for 1,346 individuals, identifying three distinct symptom burden profiles. It was authored by Xiumei Gao and published on figshare under a CC-BY-4.0 license.

Use Cases

• Identifying latent subgroups of depressive symptoms based on survey response patterns.
• Analyzing associations between demographic factors (e.g., age, gender, education) and depression profile membership.
• Examining links between health-related behaviors (e.g., smoking, drinking, exercise) and mental health outcomes.
• Investigating the role of psychosocial factors (e.g., anxiety, self-rated health, co-residence status) in depressive symptom burden.

Strengths

• Dataset is derived from a named, established survey source (Chinese Longitudinal Healthy Longevity Survey - CLHLS).
• Analysis is based on a specific sample size of 1,346 older adults with disabilities.
• Results identify three quantitatively defined profiles with precise membership percentages (low 24.4%, moderate 55.5%, high 20.1%).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying analysis dataset is unknown, which may limit suitability assessment.
• Data reflects a specific 2018 survey wave and Chinese population, which may limit generalizability.

Provenance

Source

Chinese Longitudinal Healthy Longevity Survey (CLHLS), 2018 wave.

Collection Method

Secondary analysis employing latent profile analysis (LPA), univariate, and multinomial logistic regression.

Time Range

2018

Freshness

Last updated 2026 05 08 14:05:10; freshness should be verified.

Geography

China