ArticleThe journal of nutrition, health & aging2023
Correlates of Meal Skipping in Community Dwelling Older Adults: A Cross-Sectional Study.
Article in The journal of nutrition, health & aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Temporal Dietary Patterns and Frailty in Korean Older Adults: Evening-Skewed and Morning-Evening Eating Patterns Associated with Frailty Risk.Nutrients · 2026Article
- Association between preventive health management and high-risk drinking among women of childbearing age: a correlational study of the ninth Korea National Health and Nutrition Examination Survey.Women's health nursing (Seoul, Korea) · 2025Article
- Article
- A national cross-sectional study on breakfast skipping-related factors and comparison of nutritional status according to breakfast skipping in older adults based on the 8th Korea National Health and Nutrition Examination Survey (KNHANES, 2020).The journal of nutrition, health & aging · 2024Article
- Malnutrition and its associated factors among community-dwelling older men living alone.Nutrition research and practice · 2024Article
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Authors and funding
8 authors.
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Abstract
In this cross-sectional analysis of 10,071 community dwelling adults aged ≥70 years, we examined factors associated with meal skipping (self-reported) using multivariable logistic regression. Prevalence of meal skipping in this study was 19.5%. The adjusted odds (aOR [95%CI]) of meal skipping were lower in those 85+ years (vs. 70-74.9 years, 0.56 [0.45-0.70]), and in those in regional areas (vs. urban area, 0.81 [0.72-0.92]). Higher odds of meal skipping were observed for those living alone (vs. living with someone, 1.84 [1.64-2.05]), current smokers (vs. non-smokers, 2.07 [1.54-2.80]), consumers of high amounts of alcohol (vs. abstainers 1.93 [1.35-2.75]), those with poor oral health (vs. excellent oral health, 1.71 [1.07 -2.73]) diabetes (vs. not 1.26 [1.06-1.50]), or frailty (vs. not, 1.63 [1.09-2.43]). This study identified socio-demographic, social, behavioural and biomedical correlates of meal skipping in later life, which may assist in targeting interventions to address meal skipping.
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