Signorello Lisa B, Cohen Sarah S, Williams David R, Munro Heather M, Hargreaves Margaret K, Blot William J
Lisa B. Signorello is with the Department of Epidemiology, Harvard School of Public Health, Boston, MA. Sarah S. Cohen and Heather M. Munro are with the International Epidemiology Institute, Rockville, MD. David R. Williams is with the Department of Social and Behavioral Sciences, Harvard School of Public Health. Margaret K. Hargreaves is with the Department of Internal Medicine, Meharry Medical College, Nashville, TN. William J. Blot is with the Department of Medicine, Vanderbilt University, Nashville.
Am J Public Health. 2014 Dec;104(12):e98-e107. doi: 10.2105/AJPH.2014.302156. Epub 2014 Oct 16.
We evaluated the independent and joint effects of race, individual socioeconomic status (SES), and neighborhood SES on mortality risk.
We conducted a prospective analysis involving 52 965 non-Hispanic Black and 23 592 non-Hispanic White adults taking part in the Southern Community Cohort Study. Cox proportional hazards modeling was used to determine associations of race and SES with all-cause and cause-specific mortality.
In our cohort, wherein Blacks and Whites had similar individual SES, Blacks were less likely than Whites to die during the follow-up period (hazard ratio [HR] = 0.78; 95% confidence interval [CI] = 0.73, 0.84). Low household income was a strong predictor of all-cause mortality among both Blacks and Whites (HR = 1.76; 95% CI = 1.45, 2.12). Being in the lowest (vs highest) category with respect to both individual and neighborhood SES was associated with a nearly 3-fold increase in all-cause mortality risk (HR = 2.76; 95% CI = 1.99, 3.84). There was no significant mortality-related interaction between individual SES and neighborhood SES among either Blacks or Whites.
SES is a strong predictor of premature mortality, and the independent associations of individual SES and neighborhood SES with mortality risk are similar for Blacks and Whites.
我们评估了种族、个体社会经济地位(SES)和邻里社会经济地位对死亡风险的独立影响和联合影响。
我们进行了一项前瞻性分析,纳入了参与南方社区队列研究的52965名非西班牙裔黑人成年人和23592名非西班牙裔白人成年人。采用Cox比例风险模型来确定种族和社会经济地位与全因死亡率和特定病因死亡率之间的关联。
在我们的队列中,黑人和白人的个体社会经济地位相似,黑人在随访期间的死亡可能性低于白人(风险比[HR]=0.78;95%置信区间[CI]=0.73,0.84)。低家庭收入是黑人和白人全因死亡率的一个强有力预测因素(HR=1.76;95%CI=1.45,2.12)。在个体和邻里社会经济地位方面处于最低(相对于最高)类别与全因死亡风险增加近3倍相关(HR=2.76;95%CI=1.99,3.84)。在黑人或白人中,个体社会经济地位和邻里社会经济地位之间均不存在与死亡率相关的显著交互作用。
社会经济地位是过早死亡的一个强有力预测因素,个体社会经济地位和邻里社会经济地位与死亡风险的独立关联在黑人和白人中相似。