Living with Family yet Eating Alone is Associated with Frailty in Community-Dwelling Older Adults: The Kashiwa Study

与家人同住但独自用餐与社区老年人的虚弱有关:柏市研究

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Abstract

OBJECTIVES: Eating alone is related to depression, nutritional risk, and mortality. These effects are also influenced by living status. However, little is known about the relationship between eating alone despite living with family and frailty. This study explores the relationship of eating alone and living status with frailty in community-dwelling older adults. DESIGN: Cross-sectional study. SETTING AND PARTICIPANTS: Kashiwa city, Chiba prefecture, Japan; randomly selected community-dwelling older adults (aged 65 years and over). MEASUREMENTS: Eating status was assessed by the question, "Do you eat meals with anyone, at least once a day: yes or no?" Frailty was defined by Kihon Checklist (KCL) score 8 or over. Domains of frailty were divided into instrumental activities of daily living (IADL), physical strength, nutrition, eating, socialization, memory, and mood, based on KCL categories. Binary logistic regression analysis was used, adjusting for age, years of education, chronic diseases, number of teeth and cognitive function. RESULTS: Among the total of 1,914 participants, 49.8% were male, and the overall mean age was 72.9 ± 5.5 years. Of all participants, 56 (5.9%) of men and 112 (11.7%) of women were frail. Older adults who ate alone despite living with others were more likely to be frail (OR 2.49, 95%CI 1.1-5.5 for men and OR 2.16, 95%CI 1.0-4.5 for women). Of particular note, eating and living status were associated with lower physical strength and mood in men, whereas in women these statuses were associated with lower scores for IADL, socialization, memory, and mood. CONCLUSIONS: Eating alone despite living with others was associated with high frailty in both genders; however, the pathways were different between genders. These results might help yield a simple, fundamental intervention approach to multifaceted frailty, reflecting gender and associated high-risk domains.

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