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- Title
The Association of Malnutrition and Health-Related Factors among 474,467 Older Community-Dwellers: A Population-Based Data Mining Study in Guangzhou, China.
- Authors
Lin, Wei-Quan; Xiao, Ting; Fang, Ying-Ying; Sun, Min-Ying; Yang, Yun-Ou; Chen, Jia-Min; Ou, Chun-Quan; Liu, Hui
- Abstract
Background: This study aimed to examine the prevalence and associated factors of malnutrition in older community-dwellers and explore the interaction between associated factors. Methods: A total of 474,467 older community-dwellers aged 65 or above were selected in Guangzhou, China. We used a two-step methodology to detect the associated factors of malnutrition and constructed logistic regression models to explore the influencing factors and interactive effects on three patterns of malnutrition. Results: The prevalence of malnutrition was 22.28%. Older adults with both hypertension and diabetes (RERI = 0.13), both meat or fish diet and hypertension (RERI = 0.79), and both meat or fish diet and diabetes (RERI = 0.81) had positive additive interaction effects on the risk of obesity, whereas those on a vegetarian diet with hypertension (RERI = −0.25) or diabetes (RERI = −0.19) had negative additive interaction effects. Moreover, the interactions of physical activity with a meat or fish diet (RERI = −0.84) or dyslipidemia (RERI = −0.09) could lower the risk of obesity. Conclusions: Malnutrition was influenced by different health factors, and there were interactions between these influencing factors. Pertinent dietary instruction should be given according to different nutritional status indexes and the prevalence of metabolic diseases to avoid the occurrences of malnutrition among older adults.
- Subjects
CHINA; OBESITY risk factors; PREVENTION of obesity; COMMUNITY health services; CROSS-sectional method; NUTRITION disorders; MALNUTRITION; INDEPENDENT living; DATA mining; HYPERLIPIDEMIA; RESEARCH funding; LOGISTIC regression analysis; HYPERTENSION; MEAT; FISHES; VEGETARIANISM; DIABETES; PHYSICAL activity; DISEASE risk factors; OLD age
- Publication
Nutrients, 2024, Vol 16, Issue 9, p1338
- ISSN
2072-6643
- Publication type
Article
- DOI
10.3390/nu16091338