Living Arrangements and Dietary Patterns of Older Adults in the United States

1985 ◽  
Vol 40 (4) ◽  
pp. 434-442 ◽  
Author(s):  
M. A. Davis ◽  
E. Randall ◽  
R. N. Forthofer ◽  
E. S. Lee ◽  
S. Margen
2018 ◽  
pp. 474-490
Author(s):  
Laura N. Kirk ◽  
Rachel Trelstad Porter ◽  
Amy Quarberg ◽  
Linda Halcon

The aging of the population, both nationally and globally, necessitates the development of innovative care models and living arrangements that will allow older adults to maintain health, function, engagement, and purpose even as they encounter increases in chronic disease and disability. Approximately 15% of adults ≥65 years of age in the United States reside in settings other than traditional community housing. The implementation of care practices guided by the principles of integrative nursing provides a unique and profound opportunity to enhance the quality of life of individuals within the senior living environment. Several case studies are presented, including the Hacienda in Arizona, The Waters Senior Living, and Woodbury Senior Living.


1989 ◽  
Vol 1 (3) ◽  
pp. 321-330 ◽  
Author(s):  
Alan S. Ryan ◽  
Gilbert A. Martinez ◽  
Jeffrey L. Wysong ◽  
Maradee A. Davis

1988 ◽  
Vol 43 (3) ◽  
pp. S96-S98 ◽  
Author(s):  
M. A. Davis ◽  
S. P. Murphy ◽  
J. M. Neuhaus

2020 ◽  
Vol 83 (7) ◽  
pp. 1208-1217 ◽  
Author(s):  
EDWINA A. WAMBOGO ◽  
ANNA M. VAUDIN ◽  
ALANNA J. MOSHFEGH ◽  
JUDITH H. SPUNGEN ◽  
JANE M. VAN DOREN ◽  
...  

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. HIGHLIGHTS


2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Edwina Wambogo ◽  
Anna Vaudin ◽  
Alanna Moshfegh ◽  
Judith Spungen ◽  
Jane Van Doren ◽  
...  

Abstract Objectives 1) Determine dietary consumption patterns, among older adults in the United States; 2) Evaluate sociodemographic and economic characteristics associated with each pattern; 3) Determine intake of foods associated with larger relative risk of listeriosis within these patterns; and 4) Rank these patterns based on risk. Methods The study included older adults, age 60 and older, from What We Eat in America, National Health and Nutrition Examination Surveys 2009–2010, 2011–2012 and 2013–2014 (n = 4967). Cluster analysis based on day 1 24-hour dietary recalls was used to define dietary patterns. ANOVA with Dunnett's method of adjustment used to evaluate significant differences in mean intake of foods associated with higher risk of listeriosis within each pattern. Patterns were ranked based on relative risk of listeriosis using outbreak illness attribution and risk assessment data. Results Five distinct dietary patterns were identified -Vegetables, Fruits & Oils; Mixed Dishes; RTE (Ready-To-Eat) Cereal, Milk & Yogurt; Meat & Potatoes; and Cured Meats & Cheese. The patterns ranked at highest relative risk of listeriosis, based on 2013 outbreak illness attribution data, were (1) the Vegetables, Fruits & Oils, characterized by relatively higher intakes of fruits, vegetables, and vegetable oils (∼22% respondents), (2) the RTE (Ready-To-Eat) Cereal, Milk & Yogurt, with relatively higher intakes of cereal, milk, and yogurt (16% respondents); and, based on 2003 risk assessment data, (3) the Cured Meats & Cheese with relatively higher intakes of breads, cheese, and cured meats (∼9.6% respondents). Individuals consuming these dietary patterns differed in sex, race/ethnicity, food security, self-rated diet quality, and self-rated health. Conclusions Cluster analysis, despite methodological limitations, provides new information on consumption, sociodemographic, and economic characteristics of subgroups within susceptible populations that can be used to target educational messages. Funding Sources Agricultural Research Service, US Department of Agriculture; Food and Drug Administration.


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