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在牙科环境中对一项两项食品安全筛查工具的验证

Validation of a Two-Item Food Security Screening Tool in a Dental Setting.

作者信息

Radandt Nick E, Corbridge Tara, Johnson Donna B, Kim Amy S, Scott JoAnna M, Coldwell Susan E

机构信息

Dentist in private practice, in Seattle, Wash., USA.

Quality manager at the Ballard Pediatric Clinic, in Seattle, Wash., USA.

出版信息

J Dent Child (Chic). 2018 Sep 15;85(3):114-119.

PMID:30869587
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6419517/
Abstract

The United States is typically viewed as a wealthy country, yet not all households have access to enough food for an active, healthy life. The purpose of this study was to validate a two-item written food security screen that health providers may use to identify food insecurity in their patient populations. Data were obtained from 150 parents or guardians who brought a child to a dental appointment at The Center for Pediatric Dentistry, University of Washington, Seattle, Wash., USA. The sensitivity and specificity of two written questions were determined by comparing with the United States Department of Agriculture Six-item Short Form of the Food Security Survey Module. The sample consisted of 141 surveys after those with critical questions left blank were removed. The prevalence of food insecurity was found to be 31 percent at the Center for Pediatric Dentistry. The six-item screen identified 44 foodinsecure families with an affirmative response to two or more questions. Compared with the six-item screen, the two-item screen was found to have 95.4 percent sensitivity and 83.5 percent specificity. The two-item food security screen was found to be sensitive and reasonably specific, providing a quick and accurate method to identify food-insecure families.

摘要

美国通常被视为一个富裕的国家,但并非所有家庭都能获得足够的食物来过积极健康的生活。本研究的目的是验证一种两项书面食品安全筛查方法,医疗服务提供者可使用该方法来识别其患者群体中的粮食不安全状况。数据来自150名家长或监护人,他们带孩子到美国华盛顿州西雅图市华盛顿大学儿科牙科中心进行牙科预约。通过与美国农业部食品安全调查模块的六项简表进行比较,确定了两个书面问题的敏感性和特异性。在剔除关键问题留空的调查后,样本包括141份调查问卷。在儿科牙科中心,发现粮食不安全的患病率为31%。六项筛查方法识别出44个对两个或更多问题回答为肯定的粮食不安全家庭。与六项筛查方法相比,两项筛查方法的敏感性为95.4%,特异性为83.5%。发现两项食品安全筛查方法具有敏感性且特异性合理,提供了一种快速准确识别粮食不安全家庭的方法。

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