ArticleBMC geriatrics2025
Dietary patterns of Filipino older adults and associated factors: analysis of the 2013 National nutrition survey and 2018-2019 expanded National nutrition survey.
Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundThe Philippines is transitioning into an ageing society soon. Nutrition is one of the key determinants of healthy ageing and understanding the dietary pattern of older adults is an important step for public health practice. This study describes the dietary patterns of older Filipino adults and determines the associated factors using the 2013 National Nutrition Survey (NNS) and 2018–2019 Expanded NNS (ENNS) datasets.
methodsFrom both surveys, a combined total of 11,306 older adults (≥ 60 years old) were included in the analyses. Food items from the two non-consecutive 24-h food recalls were classified into 17 food groups and were analyzed using principal component analysis (PCA). Factor scores derived from the PCA were used to determine adherence to the generated dietary patterns. Multivariate binary logistic regression was used to determine factors associated with adherence to the dietary patterns.
resultsThree major dietary patterns, similar for both NNS and ENNS, were identified namely (1) meat-based; (2) traditional rice and fish; and (3) vegetables, fruits and oil pattern. For both surveys, the odds of adherence to the meat-based pattern were significantly lower among females, adults aged 70 years and older, rural dwellers, and those with low BMI, lower educational attainment, and lower socioeconomic status. Sociodemographic, nutritional, and lifestyle factors were also associated in varying degrees with adherence to the traditional and vegetables, fruits, and oil patterns.
conclusionOur study showed that the dietary patterns of older adults in the Philippines were associated with sociodemographic factors, lifestyle, and nutritional status. This study sheds light on understanding better the role of sex, age, SES, educational attainment, and lifestyle factors, nutritional status in influencing dietary patterns of older adults. Our findings make a valuable contribution in crafting specific and timely nutrition-focused interventions for the older population in support towards healthy aging.
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