128.7 KB PDF data sheet from figshare authored by Haobiao Liu in April 2026. It presents research findings on the relationship between tea consumption and appendicular skeletal muscle mass (ASM) among oilfield workers, examining modification by socioeconomic status (SES). The study used multivariable linear regression, smooth curve fitting, and SES-stratified analyses.
Use Cases
- Analyze dose-response relationships between tea intake and muscle mass based on smooth curve fitting analyses mentioned in the description
- Investigate socioeconomic stratification in health outcomes based on SES-stratified and interaction analyses described
- Test model robustness for associations in occupational populations based on sensitivity analyses mentioned
- Explore social context in dietary strategy promotion for muscle health based on the study's conclusion
Strengths
- Data sheet is 128.7 KB and openly licensed under CC-BY-4.0.
- The description details specific analytical methods including multivariable linear regression and SES-stratified analyses.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- The dataset is a 128.7 KB PDF, indicating a very limited scope likely containing summary results rather than raw data.
Provenance
- Source
- Haobiao Liu via figshare.
- Collection Method
- Likely contains results from a research study using multivariable linear regression models on survey or clinical data from oilfield workers.
- Freshness
- Last updated 2026-04-24 04:21:34; freshness should be verified.
- Geography
- The study focuses on oilfield workers, likely in China given the cultural context mentioned.