Nicole Lovato's dataset provides prevalence rates of anxiety and depressive symptoms in relation to socio-demographic factors and COVID-19-related changes in occupation and financial position, broken down by sex. The data is stored in a 21.5 KB XLS file and was last updated on April 23, —2026. It is licensed under CC-BY-4.0.
Use Cases
- Analyze disparities in mental health symptom prevalence based on socio-demographic factors mentioned in the description.
- Model the relationship between COVID-19-related financial or occupational changes and anxiety/depression rates.
- Compare sex-based differences in mental health outcomes during the pandemic period.
Strengths
- Data is openly licensed under CC-BY-4.0, facilitating reuse and redistribution.
- File size is 21.5 KB, indicating a compact and likely focused dataset.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
Provenance
- Source
- Nicole Lovato via figshare.
- Collection Method
- Likely contains survey or observational data, as inferred from the description of prevalence rates.
- Time Range
- null
- Freshness
- Last updated 2026-04-23 17:23:29; freshness should be verified.
- Geography
- null