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Factors influencing malnutrition in Filipino elderly
Nancy A. Tandang, Reanne Len C. Arlan & Gerard C. Navarro

doi: https://doi.org/10.31246/mjn-2020-0051

ABSTRACT

Introduction: The elderly population is susceptible to malnutrition due to the physiological and functional changes caused by ageing. Hence, to prevent the degenerative nutritional conditions of the elderly and improve their quality of life, this study aimed to determine the influencing factors of malnutrition among Filipino elderly.
Methods: Anthropometric component data from the 8th National Nutrition Survey (NNS) were utilised along with the nutritional status of Filipino elderly, based on body mass index as the dependent variable and variables from the clinical and health, dietary, and socioeconomic components of NNS as explanatory factors. Multinomial logistic regression analysis was then performed in fitting models.
Results: High magnitude and severity of malnutrition were observed among Filipino elderly – 20.2% were underweight and 24.8% were overweight. Significant influencing factors in estimating an elderly’s odds of being underweight were the elderly’s age group, presence of hypertension, presence of anaemia, and adequacy of vitamin A intake. Whereas, significant influencing factors in estimating an elderly’s odds of being overweight/obese included highest educational attainment, presence of anaemia, hypertension, diabetes, and dyslipidaemia.
Conclusion: Knowing the influencing factors may help the elderly become more aware and conscious of their health, as well as to promote nutrient intakes to prevent malnutrition that can worsen their health conditions. Additionally, concerned institutions in the country could use the findings of this study as one of the bases in strengthening their approach and implementation or even provide relevant and timely policies and programmes that address malnutrition in the elderly of this country.
Key words: Multinomial logistic regression, nutritional status, elderly

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