Table 1_Association between six anthropometric indices and incident arthritis: prospective

23% of 4,112 initially arthritis-free participants developed the condition over a median 14.2-year follow-up. This dataset likely contains prospective findings from the English Longitudinal Study of Ageing (ELSA), analyzing associations between six anthropometric indices and incident arthritis. The data was published by Yanqi Du under a CC-BY-4.0 license in 2026.

Use Cases

• Compare the predictive power of novel anthropometric indices (e.g., BRI, WWI) versus traditional BMI for arthritis risk based on the study's findings.
• Analyze dose-response relationships between standardized body measurements and disease incidence based on the described hazard ratios.
• Investigate the lack of association between A Body Shape Index (ABSI) and arthritis risk highlighted in the results.
• Replicate subgroup analyses for incident arthritis considering covariates like age, sex, and comorbidities mentioned in the methods.

Strengths

• Longitudinal design with a median follow-up period of 14.2 years.
• Large cohort of 4,112 participants with objectively measured clinical data.
• Analysis includes multiple novel anthropometric indices beyond BMI, such as BRI and WWI.

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 very small (57.9 KB), suggesting it contains summary results rather than raw participant-level data.

Provenance

Source

English Longitudinal Study of Ageing (ELSA)

Collection Method

Prospective cohort study with data from Wave 2 (2004–2005) to Wave 9 (2018–2019). Height, weight, and waist circumference were objectively measured by trained nurses.

Time Range

2004 to 2019

Freshness

Last updated 2026-05-25 04:32:51; freshness should be verified.

Geography

England