ArticleScientific reports2024
The relationship between weight-adjusted-waist index, body mass index and diabetic retinopathy among American adults: a population-based analysis.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Diabetic retinopathy: why some eyes suffer more - a focus on retina-specific risk factors and metabolic memory.Journal of translational medicine · 2026Review
- Implementation of diabetic retinopathy screening in the Oslo region, Norway: a 3-year pilot study.Frontiers in medicine · 2026Article
- Multi-omics integrated analysis identifies causal risk factors and therapeutic targets for diabetic retinopathy.Journal of translational medicine · 2025Article
- Association between obesity indicators and retinopathy in US adults: NHANES 2005-2008.Frontiers in nutrition · 2025Article
- Association between weight-adjusted-waist index and retinopathy among American adults: a cross-sectional study and mediation analysis.Frontiers in nutrition · 2025Article
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5 authors.
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Abstract
Diabetic retinopathy (DR) is a common complication of diabetes, with its prevalence increasing globally. While previous research has linked obesity indices such as body mass index (BMI) to DR, the association with weight-adjusted-waist index (WWI) remains unclear. Additionally, the relationship between WWI and DR has not been fully elucidated. This cross-sectional study analyzed data from the National Health and Nutrition Examination Survey (2005-2008) to investigate these associations in Americans aged 40 and above. The study included 5436 participants (2705 men and 2731 women). Weighted logistic regression analysis revealed a significant increase in DR prevalence with higher WWI and BMI values. Smooth curve analysis demonstrated a linear correlation between WWI and DR. The findings suggest that both WWI and BMI are independently associated with DR risk among older US adults, highlighting the importance of considering central obesity measures in assessing diabetic complications.
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