Byhoff Elena, Hamati Mary C, Power Robyn, Burgard Sarah A, Chopra Vineet
Department of Medicine, Tufts Medical Center, Tufts University School of Medicine, 800 Washington St Box #63, Boston, MA, 02111, USA.
University of Michigan, Ann Arbor, MI, USA.
BMC Public Health. 2017 Sep 18;17(1):719. doi: 10.1186/s12889-017-4754-1.
Understanding the relationship between increasing educational attainment and mortality reduction has important policy and public health implications. This systematic review of the literature establishes a taxonomy to facilitate evaluation of the association between educational attainment and early mortality.
Following PRISMA guidelines, we searched Ovid Medline, Embase, PubMed and hand searches of references for English-language primary data analyses using education as an independent variable and mortality as a dependent variable. Initial searches were undertaken in February 2015 and updated in April 2016.
One thousand, seven hundred and eleven unique articles were identified, 418 manuscripts were screened and 262 eligible studies were included in the review. After an iterative review process, the literature was divided into four study domains: (1) all-cause mortality (n = 68, 26.0%), (2) outcome-specific mortality (n = 89, 34.0%), (3) explanatory pathways (n = 51, 19.5%), and (4) trends over time (n = 54, 20.6%). These four domains comprise a novel taxonomy that can be implemented to better quantify the relationship between education and mortality.
We propose an organizational taxonomy for the education-mortality literature based upon study characteristics that will allow for a more in-depth understanding of this association. Our review suggests that studies that include mediators or subgroups can explain part, but not all, of the relationship between education and early mortality.
PROSPERO registration # CRD42015017182 .
了解教育程度提高与死亡率降低之间的关系具有重要的政策和公共卫生意义。本系统文献综述建立了一种分类法,以促进对教育程度与早期死亡率之间关联的评估。
遵循PRISMA指南,我们检索了Ovid Medline、Embase、PubMed,并通过手工检索参考文献,查找以教育为自变量、死亡率为因变量的英文初级数据分析。初始检索于2015年2月进行,并于2016年4月更新。
共识别出1711篇独特文章,筛选了418篇手稿,262项符合条件的研究纳入综述。经过反复审查过程,文献被分为四个研究领域:(1)全因死亡率(n = 68,26.0%),(2)特定结局死亡率(n = 89,34.0%),(3)解释途径(n = 51,19.5%),以及(4)随时间变化的趋势(n = 54,20.6%)。这四个领域构成了一种新颖的分类法,可用于更好地量化教育与死亡率之间的关系。
我们基于研究特征为教育-死亡率文献提出了一种组织分类法,这将有助于更深入地理解这种关联。我们的综述表明,纳入中介因素或亚组的研究可以解释教育与早期死亡率之间关系的一部分,但不是全部。
PROSPERO注册号#CRD42015017182 。