Division of General Internal Medicine, Department of Medicine, Froedtert and The Medical College of Wisconsin, Milwaukee; Center for Advancing Population Science, Medical College of Wisconsin, Milwaukee.
University of Wisconsin, Milwaukee.
Ann Epidemiol. 2019 Apr;32:43-48. doi: 10.1016/j.annepidem.2019.01.014. Epub 2019 Feb 5.
Significant evidence supports a relationship between food insecurity and health, but little work has investigated its relationship on all-cause mortality within a high resource country, such as the United States.
Data from the 2003-2010 National Health and Nutrition Examination Survey was matched to National Death Index information. Cox models were used to study the relationship between mortality and food insecurity, adjusting for relevant covariates in a sequential manner (demographics, comorbidities, lifestyle variables, body mass index). Food insecurity was used as dichotomous and as four categories.
Of 20,918 participants, 11.6% (representing 208,789,244 U.S. residents) were food insecure. When food insecurity was dichotomized, there was 49% higher odds of mortality after adjusting for demographics (HR, 1.49; 95% CI, 1.19-1.87). After adjusting for comorbidities, the HR remained significant, but lost significance with adjustment for lifestyle factors and body mass index (HR, 1.15; 95% CI, 0.94-1.42). However, marginal food security lost significance after adjustment for lifestyle variables.
Food insecurity significantly impacts all-cause mortality in the United States; however, lifestyle may explain this relationship. Interventions should account for level of severity when creating targeted programs.
大量证据表明,食物不安全与健康之间存在关联,但在资源丰富的国家(如美国),很少有研究调查其与全因死亡率之间的关系。
将 2003-2010 年全国健康和营养调查的数据与国家死亡指数信息相匹配。使用 Cox 模型研究死亡率与食物不安全之间的关系,并按顺序(人口统计学、合并症、生活方式变量、体重指数)调整相关协变量。将食物不安全分为二分类和四分类进行研究。
在 20918 名参与者中,11.6%(代表 208789244 名美国居民)存在食物不安全。当食物不安全被二分类时,调整人口统计学因素后,死亡的风险增加了 49%(HR,1.49;95%CI,1.19-1.87)。调整合并症后,HR 仍然显著,但调整生活方式因素和体重指数后失去了显著性(HR,1.15;95%CI,0.94-1.42)。然而,边缘性食物安全在调整生活方式变量后失去了显著性。
在美国,食物不安全显著影响全因死亡率;然而,生活方式可能解释了这种关系。在创建有针对性的项目时,干预措施应考虑严重程度。