Measuring Food Insecurity in Older Adults Using Both Physical and Economic Food Access, NHANES 2013-18.

BACKGROUND: Economic food insecurity tools are used to detect need for assistance in the general population. However, in older adults, food insecurity can also be due to factors other than economic, such as physical inability to shop or cook. OBJECTIVES: We determined: 1) the proportion of older adults in the United States who experience physical and/or economic food insecurity; 2) differences in characteristics, diet quality, chronic conditions, and depression by economic and/or physical food insecurity; and 3) the relation of physical and economic food insecurity with diet quality and with depression. METHODS: Data from adults aged ≥60 y of the NHANES (2013-2018) were used. Groups were created based on economic food security [measured using the USDA's Household Food Security Survey Module (HFSSM)] and physical food security (measured using questions evaluating ability to shop and cook). Depression, Healthy Eating Index (HEI-2015) score, and socioeconomic characteristics were compared by food security group. Rao-Scott χ2 tests were used to test for significant differences between categorical variables, and t tests for continuous variables. Associations between food security status, HEI-2015, and depression score were examined using linear regression analysis. RESULTS: One-quarter (25.0%) of older adults had physical difficulty accessing food but were not living in economically food insecure households. Those who lived in economically food insecure households and also had physical difficulties accessing food had the lowest mean HEI-2015 score (51.7) and highest mean depression score (6.9); both were significantly lower than the mean scores of those who lived in food secure households (HEI-2015 = 57.3; depression = 2.1; P < 0.01). CONCLUSIONS: Considering physical ability to shop for and prepare food when measuring food insecurity in older adults can help identify those who might need dietary and mental health support the most, and those who need food assistance but would otherwise be missed if only measuring economic access.

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.

ABSTRACT: Older 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.