Adjusted Odds Ratios for Depression, Anxiety, and Stress in Older Bangladeshi Adults

Featuring adjusted odds ratios (AOR) and 95% confidence intervals from ordinal logistic regression models analyzing depression, anxiety, and stress status. The study focuses on individuals aged 60 years and above in Bangladesh. The dataset is derived from a study across four districts.

Use Cases

• Analyze the association between Social Isolation and Severe Depression using the provided adjusted odds ratios.
• Compare the strength of association for Various Risk Factors like Perceived Social Status and Poor Health Status with mental health outcomes.
• Examine how Loneliness Influence Depression is quantified through the logistic regression results.
• Investigate the relationship between Inadequate Family Relationships and Stress Levels using the statistical outputs.

Strengths

• Data is licensed under CC BY 4.0, allowing for open sharing and adaptation.
• The study focuses on a specific demographic: older adults (60+) across four districts in Bangladesh.
• Results are derived from ordinal logistic regression, providing adjusted odds ratios and confidence intervals for multiple mental health conditions.

Limitations

• The dataset is very small at 13.5 KB, indicating it contains summary statistical results rather than raw survey or individual-level data.
• No sample size (row count) or variable details (columns) are provided, limiting analytical depth.
• The temporal coverage and specific data collection methodology are not detailed in the provided input.

Provenance

Source

figshare

Collection Method

Derived from a study employing ordinal logistic regression and confirmatory factor analysis.

Time Range

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Freshness

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Geography

Bangladesh, specifically across four districts.