The Association of Malnutrition and Health-Related Factors among 474,467 Older Community-Dwellers: A Population-Based Data Mining Study in Guangzhou, China.

Autor:	Lin WQ; Department of Basic Public Health, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.; Institute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China., Xiao T; State Key Laboratory of Organ Failure Research, School of Public Health, Southern Medical University, Guangzhou 511436, China., Fang YY; Department of Basic Public Health, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China., Sun MY; Department of Basic Public Health, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.; Institute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China., Yang YO; Department of Basic Public Health, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China., Chen JM; Department of Basic Public Health, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China., Ou CQ; State Key Laboratory of Organ Failure Research, School of Public Health, Southern Medical University, Guangzhou 511436, China., Liu H; Department of Basic Public Health, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Jazyk:	angličtina
Zdroj:	Nutrients [Nutrients] 2024 Apr 29; Vol. 16 (9). Date of Electronic Publication: 2024 Apr 29.
DOI:	10.3390/nu16091338
Abstrakt:	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.
Databáze:	MEDLINE
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