Depression Covariate Percentages Among Older Adults in Four Districts

Supplying percentage distributions of selected covariates associated with depression levels. It focuses on older adults across four districts, with data covering factors like social isolation, financial stress, and perceived health status. The dataset is 13.5 KB in size.

Use Cases

• Analyze the association between Social Isolation and Severe Depression levels using percentage distributions.
• Compare the percentage distribution of High Perceived Stress across different depression severity categories.
• Examine the relationship between Poor Health Status and depression levels among older adults.
• Investigate how covariates like Inadequate Family Relationships and Loneliness Influence Depression based on the provided percentages.

Strengths

• Data is licensed under CC BY 4.0, allowing for open sharing and adaptation.
• The dataset includes a specific focus on older adults across four distinct geographic districts.
• Covers multiple analytically relevant covariates such as Social Isolation, Financial Stress, and Perceived Social Status.

Limitations

• The dataset is very small at 13.5 KB, indicating limited scope and likely a small sample size.
• No row count or column structure is provided, limiting understanding of the data's granularity and format.
• The description is minimal, offering no details on data collection methodology or sample demographics.

Provenance

Source

figshare, authored by Sahabul Haque.

Collection Method

null

Time Range

null

Freshness

Last updated on 2026-03-20.

Geography

Covers four districts (specific locations unknown).