Chatterjee Ranee, Brancati Frederick L, Shafi Tariq, Edelman David, Pankow James S, Mosley Thomas H, Selvin Elizabeth, Yeh Hsin Chieh
Department of Medicine, Duke University, Durham, NC, USA,
J Gen Intern Med. 2014 Feb;29(2):290-7. doi: 10.1007/s11606-013-2569-z. Epub 2013 Aug 14.
Traditional risk factors, particularly obesity, do not completely explain the excess risk of diabetes among African Americans compared to whites.
We sought to quantify the impact of recently identified, non-traditional risk factors on the racial disparity in diabetes risk.
Prospective cohort study.
We analyzed data from 2,322 African-American and 8,840 white participants without diabetes at baseline from the Atherosclerosis Risk in Communities (ARIC) Study.
We used Cox regression to quantify the association of incident diabetes by race over 9 years of in-person and 17 years of telephone follow-up, adjusting for traditional and non-traditional risk factors based on literature search. We calculated the mediation effect of a covariate as the percent change in the coefficient of race in multivariate models without and with the covariate of interest; 95 % confidence intervals (95 % CI) were calculated using boot-strapping.
African American race was independently associated with incident diabetes. Body mass index (BMI), forced vital capacity (FVC), systolic blood pressure, and serum potassium had the greatest explanatory effects for the difference in diabetes risk between races, with mediation effects (95 % CI) of 22.0 % (11.7 %, 42.2 %), 21.7 %(9.5 %, 43.1 %), 17.9 % (10.2 %, 37.4 %) and 17.7 % (8.2 %, 39.4 %), respectively, during 9 years of in-person follow-up, with continued effect over 17 years of telephone follow-up.
Non-traditional risk factors, particularly FVC and serum potassium, are potential mediators of the association between race and diabetes risk. They should be studied further to verify their importance and to determine if they mark causal relationships that can be addressed to reduce the racial disparity in diabetes risk.
与白人相比,传统风险因素,尤其是肥胖,并不能完全解释非裔美国人患糖尿病风险过高的原因。
我们试图量化最近发现的非传统风险因素对糖尿病风险种族差异的影响。
前瞻性队列研究。
我们分析了社区动脉粥样硬化风险(ARIC)研究中2322名基线时无糖尿病的非裔美国参与者和8840名白人参与者的数据。
我们使用Cox回归来量化在9年的面对面随访和17年的电话随访中按种族划分的新发糖尿病的关联,并根据文献检索对传统和非传统风险因素进行调整。我们将协变量的中介效应计算为多变量模型中有无感兴趣的协变量时种族系数的百分比变化;使用自抽样法计算95%置信区间(95%CI)。
非裔美国人种族与新发糖尿病独立相关。体重指数(BMI)、用力肺活量(FVC)、收缩压和血清钾对种族间糖尿病风险差异的解释作用最大,在9年的面对面随访期间,中介效应(95%CI)分别为[22.0%(11.7%,42.2%)]、[21.7%(9.5%,43.1%)]、[17.9%(10.2%,37.4%)]和[17.7%(8.2%,39.4%)],在17年的电话随访中仍有持续影响。
非传统风险因素,尤其是FVC和血清钾,是种族与糖尿病风险之间关联的潜在中介因素。应进一步研究以验证它们的重要性,并确定它们是否标志着可以通过干预来减少糖尿病风险种族差异的因果关系。