目的:目前的文献揭示了肥胖的人体测量(AnthM)与年龄相关性黄斑变性(AMD)之间的关联,但很少有人探索疾病与成像方法的关联。这项研究旨在探索AMD状态和双能X线吸收测量(DEXAMs)之间的关系在美国人群的代表性样本中,并将其与AnthM的关联进行比较。
方法:使用2005-2006年国家健康和营养检查研究中的代表性样本(n=1632),全身和腰部的DEXAM(即,android),和相对脂肪分布(例如,脂肪百分比,在无AMD(基线)和任何AMD之间分析了android与全身的比率)。对AnthM进行了AMD状态的双变量分析(即,身体质量指数,腰围和皮褶厚度)和潜在的混杂因素(即,人口统计和健康相关变量)。使用逻辑回归分析显著肥胖指标,适应混杂因素。
结果:样本中的参与者年龄为40-69岁,大多数是女性(52%),主要是白种人(76.5%)。双变量分析显示,任何AMD与Android与总脂肪比率和肩胛骨下皮褶厚度(SSFT)呈正相关。其他AnthM和DEXAMs不显著。调整年龄后,性别和降胆固醇药的处方,只有SSFT保持显著相关。
结论:与其他AnthM和DEXAM相比,SSFT代表AMD存在的独立危险因素。SSFT是一种已建立的测量皮下脂肪的方法(即,皮下脂肪)。因此,由于特定于组织的生理特性,皮下脂肪在解释肥胖-AMD联系方面可能更相关。限制包括年龄范围受限和晚期AMD参与者数量少。
OBJECTIVE: Current literature reveals an association between anthropometric measures of adiposity (AnthM) and age-related macular degeneration (AMD), but few have explored the disease association with imaging methods. This study aimed to explore the relationship between AMD status and dual-energy X-ray absorptiometry measures (DEXAMs) among a representative sample of the US population, and compare the association with AnthM.
METHODS: Using a representative sample in the National Health and Nutrition Examination Study 2005-2006 (n=1632), DEXAMs across the whole body and waist (ie, android), and relative fat distributions (eg, percentage fat, android-to-total body ratio) were analysed between no AMD (baseline) and any AMD. Bivariate analyses across AMD status were similarly performed for AnthM (ie, body mass index, waist circumference and skinfold thicknesses) and potential confounders (ie, demographics and health-related variables). Significant adiposity measures were analysed using logistic regression, adjusting for confounders.
RESULTS: The participants in the sample were aged 40-69 years, were majority female (52%) and mainly Caucasian (76.5%). Bivariate analysis revealed having any AMD had positive significant associations with android-to-total fat ratio and subscapular skinfold thickness (SSFT). Other AnthM and DEXAMs were not significant. After adjusting age, gender and prescription of cholesterol-lowering medicine, only SSFT remained significantly associated.
CONCLUSIONS: SSFT represents an independent risk factor for AMD presence compared with other AnthM and DEXAMs. SSFT is an established method of measuring fat under the skin (ie, subcutaneous fat). Hence, subcutaneous fat may be more relevant in explaining the adiposity-AMD link due to physiological properties specific to the tissue. Limitations include the restricted age range and low numbers of participants with late AMD.