Cacciani Laura, Bargagli Anna Maria, Cesaroni Giulia, Forastiere Francesco, Agabiti Nera, Davoli Marina
Department of Epidemiology, Lazio Regional Health Service, Rome, Italy.
PLoS One. 2015 Sep 16;10(9):e0137576. doi: 10.1371/journal.pone.0137576. eCollection 2015.
A large body of evidence supports an inverse association between socioeconomic status and mortality. We analysed data from a large cohort of residents in Rome followed-up between 2001 and 2012 to assess the relationship between individual education and mortality. We distinguished five causes of death and investigated the role of age, gender, and birthplace.
From the Municipal Register we enrolled residents of Rome on October 21st 2001 and collected information on educational level attained from the 2001 Census. We selected Italian citizens aged 30-74 years and followed-up their vital status until 2012 (n = 1,283,767), identifying the cause of death from the Regional Mortality Registry. We calculated hazard ratios (HRs) for overall and cause-specific mortality in relation to education. We used age, gender, and birthplace for adjusted or stratified analyses. We used the inverse probability weighting approach to account for right censoring due to emigration.
We observed an inverse association between education (none vs. post-secondary+ level) and overall mortality (HRs(95%CIs): 2.1(1.98-2.17), males; 1.5(1.46-1.59), females) varying according to demographic characteristics. Cause-specific analysis also indicated an inverse association with education, in particular for respiratory, digestive or circulatory system related-mortality, and the youngest people seemed to be more vulnerable to low education.
Our results confirm the inverse association between education and overall or cause-specific mortality and show differentials particularly marked among young people compared to the elderly. The findings provide further evidence from the Mediterranean area, and may contribute to national and cross-country comparisons in Europe to understand the mechanisms generating socioeconomic differentials especially during the current recession period.
大量证据支持社会经济地位与死亡率之间存在负相关。我们分析了2001年至2012年期间对罗马大量居民队列进行随访的数据,以评估个人教育程度与死亡率之间的关系。我们区分了五种死亡原因,并调查了年龄、性别和出生地的作用。
我们从市政登记册中纳入了2001年10月21日的罗马居民,并从2001年人口普查中收集了所达到的教育水平信息。我们选择了年龄在30 - 74岁之间的意大利公民,并对他们的生命状况进行随访直至2012年(n = 1,283,767),从地区死亡率登记处确定死亡原因。我们计算了与教育相关的总体死亡率和特定原因死亡率的风险比(HRs)。我们使用年龄、性别和出生地进行调整或分层分析。我们采用逆概率加权方法来处理因移民导致的右删失问题。
我们观察到教育程度(无 vs. 高等教育以上水平)与总体死亡率之间存在负相关(HRs(95%CI):男性为2.1(1.98 - 2.17);女性为1.5(1.46 - 1.59)),且根据人口统计学特征有所不同。特定原因分析也表明与教育程度存在负相关,特别是对于与呼吸、消化或循环系统相关的死亡率,最年轻的人群似乎更容易受到低教育程度的影响。
我们的结果证实了教育程度与总体或特定原因死亡率之间的负相关,并表明与老年人相比,年轻人之间的差异尤为明显。这些发现提供了来自地中海地区的进一步证据,并可能有助于欧洲国家间的比较,以了解产生社会经济差异的机制,特别是在当前经济衰退时期。