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美国美国家庭的极低粮食安全状况是由健康、经济和服务参与的复杂模式所预测的。

Very Low Food Security in US Households Is Predicted by Complex Patterns of Health, Economics, and Service Participation.

作者信息

Choi Seul Ki, Fram Maryah S, Frongillo Edward A

机构信息

Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC; and.

College of Social Work, University of South Carolina, Columbia, SC.

出版信息

J Nutr. 2017 Oct;147(10):1992-2000. doi: 10.3945/jn.117.253179. Epub 2017 Aug 30.

Abstract

Very low food security (VLFS) happens at the intersection of nuanced and complex patterns of risk characteristics across multiple domains. Little is known about the idiosyncratic situations that lead households to experience VLFS. We used classification and regression tree (CART) analysis, which can handle complex combinations of predictors, to identify patterns of characteristics that distinguish VLFS households in the United States from other households. Data came from 3 surveys, the 2011-2014 National Health Interview Survey (NHIS), the 2005-2012 NHANES, and the 2002-2012 Current Population Survey (CPS), with sample participants aged ≥18 y and households with income <300% of the federal poverty line. Survey participants were stratified into households with children, adult-only households, and older-adult households (NHIS, CPS) or individuals aged 18-64 y and individuals aged ≥65 y (NHANES). Household food security was measured with the use of the 10-item US Adult Food Security Scale. Variables from multiple domains, including sociodemographic characteristics, health, health care, and participation in social welfare and food assistance programs, were considered as predictors. The 3 data sources were analyzed separately with the use of CART analysis. Household experiences of VLFS were associated with different predictors for different types of households and often occurred at the intersection of multiple characteristics spanning unmet medical needs, poor health, disability, limitation, depressive symptoms, low income, and food assistance program participation. These predictors built complex trees with various combinations in different types of households. This study showed that multiple characteristics across multiple domains distinguished VLFS households. Flexible and nonlinear methods focusing on a wide range of risk characteristics should be used to identify VLFS households and to inform policies and programs that can address VLFS households' various needs.

摘要

极低食品安全状况(VLFS)出现在多个领域细微且复杂的风险特征模式的交叉点上。对于导致家庭经历极低食品安全状况的特殊情况,我们知之甚少。我们使用了能够处理预测变量复杂组合的分类与回归树(CART)分析,来识别美国极低食品安全状况家庭与其他家庭相区别的特征模式。数据来自三项调查,即2011 - 2014年全国健康访谈调查(NHIS)、2005 - 2012年国家健康与营养检查调查(NHANES)以及2002 - 2012年当前人口调查(CPS),样本参与者年龄≥18岁,家庭收入低于联邦贫困线的300%。调查参与者被分为有孩子家庭、仅成年人家庭和老年人家庭(NHIS、CPS),或者18 - 64岁个体和≥65岁个体(NHANES)。家庭食品安全状况通过使用10项美国成人食品安全量表进行测量。来自多个领域的变量,包括社会人口学特征、健康状况、医疗保健以及参与社会福利和食品援助项目等,都被视为预测变量。使用CART分析分别对这三个数据源进行了分析。极低食品安全状况的家庭经历与不同类型家庭的不同预测变量相关,并且常常出现在跨越未满足的医疗需求、健康状况不佳、残疾、受限、抑郁症状、低收入以及参与食品援助项目等多种特征的交叉点上。这些预测变量在不同类型的家庭中构建了具有各种组合的复杂树状结构。本研究表明,多个领域的多种特征区分了极低食品安全状况家庭。应采用关注广泛风险特征的灵活且非线性方法来识别极低食品安全状况家庭,并为能够满足极低食品安全状况家庭各种需求的政策和项目提供信息。

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