NRF Visual Analytic Source Values

225 bytes of CSV data from figshare, last updated in May 2026. The dataset likely contains measurements of physical activity, sedentary behaviour, and mental health indicators among African adults. It was authored by Reginald Tetteh-Ahumah OCANSEY and is licensed for reuse under CC-BY-4.0.

Use Cases

• Analyze correlations between physical activity levels and depression scores based on survey data.
• Study the relationship between COVID-19 symptom burden and anxiety levels among adults.
• Model the impact of sedentary behaviour on executive function performance.
• Assess the prevalence of fear related to COVID-19 within the sampled demographic.
• Explore demographic or behavioral factors influencing mental health outcomes post-pandemic.

Strengths

• The dataset is openly licensed under CC-BY-4.0, facilitating reuse.
• It focuses on a specific demographic (African adults) and a defined set of health variables.
• The description explicitly lists seven key variables of interest: physical activity, sedentary behaviour, COVID-19 symptom burden, executive function, anxiety, fear, and depression.

Limitations

• The dataset is extremely small at 225 bytes, suggesting a very limited scope or a placeholder file.
• Row count and column definitions are unknown, making suitability assessment difficult.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Freshness

Last updated 2026-05-05 12:48:16; freshness should be verified.

Geography

Likely Africa, based on the description mentioning 'African adults'.