Mehta Neil K, House James S, Elliott Michael R
Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA.
J Epidemiol Community Health. 2015 May;69(5):416-22. doi: 10.1136/jech-2014-204248. Epub 2015 Jan 6.
To measure the explanatory role of behavioural factors to educational and income disparities in mortality among US adults (ages 25+).
Data were from four waves of the American Changing Lives Study (N=3617). There were 1832 deaths between 1986 and 2011. Smoking, physical activity, alcohol and body mass index were examined.
Those with 0-11 years of schooling had an 88% (95% CI 48% to 139%) increased risk of dying compared to those with 16+years of schooling. Behavioural factors explained 41% (95% CI 26% to 55%) and 50% (95% CI 30% to 70%) of this excess in models that treated behavioural factors as fixed (single point in time) and time varying (repeated), respectively. The lowest income group (bottom 20th centile) had a 209% (95% CI 172% to 256%) increased risk of dying relative to the highest income group (top 40th centile). Behavioural factors explained 24% (fixed, 95% CI 13% to 35%) and 39% (repeated, 95% CI 22% to 56%) of this difference. Analyses of deaths by causes indicated that behavioural factors were more consequential to disparities in cardiovascular mortality, explaining up to 83% of educational differences, compared to cancer and other death causes.
Behavioural factors are one of a number of factors which explain socioeconomic mortality disparities, but their estimated explanatory role depends on a number of parameters including the socioeconomic status measure examined, the cause of death and age. In this nationally representative sample, findings based on repeated measures did not warrant a re-evaluation of earlier estimates.
评估行为因素对美国成年人(25岁及以上)死亡率方面教育和收入差距的解释作用。
数据来自美国生活变化研究的四轮调查(N = 3617)。1986年至2011年间有1832人死亡。对吸烟、体育活动、饮酒和体重指数进行了检查。
受教育年限为0至11年的人群与受教育年限为16年及以上的人群相比,死亡风险增加了88%(95%置信区间为48%至139%)。在将行为因素视为固定(时间点单一)和随时间变化(重复测量)的模型中,行为因素分别解释了这一超额死亡风险的41%(95%置信区间为26%至55%)和50%(95%置信区间为30%至70%)。收入最低组(最低的五分之一)相对于收入最高组(最高的五分之二)死亡风险增加了209%(95%置信区间为172%至256%)。行为因素解释了这一差异的24%(固定模型,95%置信区间为13%至35%)和39%(重复测量模型,95%置信区间为22%至56%)。按死因进行的死亡分析表明,行为因素对心血管疾病死亡率差距的影响更大,与癌症和其他死因相比,其对教育差异的解释高达83%。
行为因素是解释社会经济死亡率差异的众多因素之一,但其估计的解释作用取决于多个参数,包括所考察的社会经济地位指标、死因和年龄。在这个具有全国代表性的样本中,基于重复测量的结果并不足以对早期估计进行重新评估。