Association between four anthropometric indices with age-related Macular Degeneration from NHANES 2005-2008.

backgroundAge-related macular degeneration (AMD) decrease vision and presents considerable challenges for both public health and clinical management strategies. Obesity is usually implicated with increased AMD, and body mass index (BMI) does not reflect body fat distribution. An array of studies has indicated a robust relationship between body fat distribution and obesity. This research is to evaluate the relationship between anthropometric measurements and AMD in the United States citizens in a cohort of patients.

methodsOur study included a cohort of 3,127 participants, all of whom were selected from the National Health and Nutrition Examination Survey (NHANES) conducted between 2005 and 2008. Various anthropometric indices, including weight (WT), waist circumference (WC), Body Mass Index (BMI), waist-to-height ratio (WtHR), circularity index (CI), weight-adjusted waist circumference index (WWI), body roundness index (BRI), a body size index (ABSI), and visceral adiposity index (VAI), have been studied extensively within public health and nutrition to assess body fat distribution. Odds ratios (OR) for each anthropometric index, in relation to AMD and its different stages, were computed, adjusting for confounding variables. Smoothed curve fitting, coupled with weighted multivariable logistic regression analysis, was used to examine the impact of these anthropometric measures on the prevalence of AMD. Subgroup analyses were conducted according to gender, age, BMI, drinking, smoking, CVD, diabetes, hypertension, cataract operation, and glaucoma.

resultsAfter adjusting for all variables, significant positive correlations were observed between WtHR (OR = 1.237 (1.065-1.438)), BRI (OR = 1.221 (1.058-1.410)), CI (OR = 1.189 (1.039-1.362)), and WWI (OR = 1.250 (1.095-1.425)) with AMD, particularly for early AMD. However, no significant effects of these indicators were observed in late AMD. CI exhibited a positive linear relationship with AMD. Two-segment linear regression modeling revealed positive nonlinear associations between WtHR, BRI, and WWI with AMD. The positive association was more pronounced with excessive alcohol consumption for WtHR, BRI, CI, and WWI (P for interaction = 0.0033, 0.0021, 0.0194, and 0.0022, respectively). Additionally, WWI and CI exhibited stronger associations with AMD in females (P for interaction = 0.0146 and 0.0117, respectively). Furthermore, WtHR was associated with AMD in non-smokers (P for interaction = 0.0402).

conclusionThis study confirmed a increased risk between four anthropometric measures, including WtHR, BRI, CI, and WWI, with AMD, especially early AMD. The findings suggest that these four anthropometric indices should be more broadly utilized to improve early AMD prevention and treatment strategies. Additionally, we found that the positive association between these four body measurement indices and AMD was more pronounced in individuals with high alcohol consumption.