Toward a Better Understanding of Listeriosis Risk among Older Adults in the United States: Characterizing Dietary Patterns and the Sociodemographic and Economic Attributes of Consumers with These Patterns

Author:

WAMBOGO EDWINA A.1,VAUDIN ANNA M.1,MOSHFEGH ALANNA J.2,SPUNGEN JUDITH H.3,DOREN JANE M. VAN3,SAHYOUN NADINE R.1

Affiliation:

1. Department of Nutrition and Food Science, 0102 Skinner Building, University of Maryland, College Park, Maryland 20742 (ORCID: https://orcid.org/0000-0002-9738-3452 [N.R.S.])

2. U.S. Department of Agriculture, Agricultural Research Service, Food Surveys Research Group, Beltsville Human Nutrition Research Center, 10300 Baltimore Avenue, Building 005, Room 102, BARC-West, Beltsville, Maryland 20705

3. Center for Food Safety and Applied Nutrition, Division of Risk Assessment and Decision Analysis, Office of Analytics and Outreach, U.S. Food and Drug Administration, 5001 Campus Drive, College Park, Maryland 20740, USA

Abstract

ABSTRACTOlder adults are at higher risk of invasive listeriosis compared with the general population. Some foods are more likely than others to be contaminated with or to contain high levels of Listeria monocytogenes. The objectives of this study were to (i) determine dietary consumption patterns among older adults in the United States; (ii) evaluate sociodemographic and economic characteristics of older adults associated with each pattern; (iii) determine intake of foods associated with larger relative risk of listeriosis within these patterns; and (iv) rank these patterns based on risk. Data related to older adults (age 60 and older) participating in the cross-sectional National Health and Nutrition Examination Surveys (NHANES) 2009 to 2010, 2011 to 2012, and 2013 to 2014 (n = 4,967) were included in these analyses. Cluster analysis was used to define dietary patterns based on 24-h dietary recalls from day 1 and day 2. Mean intake of foods associated with higher risk of listeriosis was examined within each pattern, and analysis of variance with Dunnett's method of adjustment was used to evaluate significant differences in mean intake of foods. Patterns were ranked based on relative risk of listeriosis, using outbreak illness attribution data. Five distinct dietary patterns were identified. Patterns ranked at highest relative risk of listeriosis, based on U.S. outbreak illness attribution data, were characterized by relatively higher intakes of fruits, vegetables, and cheeses (∼13% respondents) or cereal, milk, and yogurt (∼14% respondents). Individuals consuming these dietary patterns differed in sex, race, food security, self-rated diet quality, and self-rated health. Cluster analysis, despite methodological limitations, provides new information on consumption, sociodemographic, and economic characteristics of subgroups within susceptible populations, which may be used to target educational messages.HIGHLIGHTS

Publisher

International Association for Food Protection

Subject

Microbiology,Food Science

Reference38 articles.

1. Administration for Community Living. Profile of Older Americans. 2019. 2017 profile. Available at: https://acl.gov/aging-and-disability-in-america/data-and-research/profile-older-americans. Accessed20November2018.

2. Agricultural Research Service, U.S. Department of Agriculture. 2019. AMPM-USDA automated multiple-pass method. Available at: https://www.ars.usda.gov/northeast-area/beltsville-md-bhnrc/beltsville-human-nutrition-research-center/food-surveys-research-group/docs/ampm-usda-automated-multiple-pass-method/. Accessed 21 January 2017.

3. Agricultural Research Service, U.S. Department of Agriculture. 2019. Food and nutrient database for dietary studies. Available at: https://www.ars.usda.gov/northeast-area/beltsville-md-bhnrc/beltsville-human-nutrition-research-center/food-surveys-research-group/docs/fndds/. Accessed 20 November 2018.

4. Agricultural Research Service, U.S. Department of Agriculture. 2019. FPED overview. Available at: https://www.ars.usda.gov/northeast-area/beltsville-md-bhnrc/beltsville-human-nutrition-research-center/food-surveys-research-group/docs/fped-overview/. Accessed 27 June 2018.

5. Agricultural Research Service, U.S. Department of Agriculture. 2019. WWEIA/NHANES overview. Available at: https://www.ars.usda.gov/northeast-area/beltsville-md-bhnrc/beltsville-human-nutrition-research-center/food-surveys-research-group/docs/wweianhanes-overview/. Accessed 21 January 2016.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3