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. 2022 Feb 19;14(4):886.
doi: 10.3390/nu14040886.

Dietary Patterns and Their Association with Sociodemographic and Lifestyle Factors in Filipino Adults

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Dietary Patterns and Their Association with Sociodemographic and Lifestyle Factors in Filipino Adults

Aileen R de Juras et al. Nutrients. .

Abstract

Recent studies have investigated dietary patterns to assess the overall dietary habits of specific populations. However, limited epidemiological research has been conducted to explore the unique dietary intakes in low and middle-income countries. This study aims to examine the dietary patterns of Filipino adults and their association with sociodemographic and lifestyle factors. A total of 10,025 adults (≥20 years old) who participated in the 2013 Philippine National Nutrition Survey were included in the analysis. Dietary patterns were derived using factor analysis of 18 food groups from the dietary survey component. Six dietary patterns were identified, namely (1) rice; (2) cereal, milk, sugar, and oil; (3) fruits and miscellaneous food; (4) fish; (5) vegetables and corn; and (6) meat and beverage. Generalized ordered logistic regression analysis indicated that the dietary patterns were associated with different factors, specifically sex, age, educational attainment, marital status, employment status, household size, wealth quintile, smoking status, alcohol consumption, and physical activity. Our findings showed distinct dietary patterns among Filipino adults that were influenced by various sociodemographic and lifestyle parameters. The results of this study have valuable public health implications and the dietary patterns generated can further be used to analyze the link between diet and health outcomes.

Keywords: Philippines; adults; dietary patterns; factor analysis.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Study participant selection.

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References

    1. Murray C.J.L., Aravkin Y., Zheng P., Abbafati C., Abbas K.M., Abbasi-Kangevari M., Abd-Allah F., Abdelalim A., Abdollahi M., Abdollapour I., et al. Global burden of 87 risk factors in 204 countries and territories, 1990–2019: A systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2020;396:1223–1249. doi: 10.1016/S0140-6736(20)30752-2. - DOI - PMC - PubMed
    1. Hu F.B. Dietary pattern analysis: A new direction in nutritional epidemiology. Curr. Opin. Lipidol. 2002;13:3–9. doi: 10.1097/00041433-200202000-00002. - DOI - PubMed
    1. Moeller S.M., Reedy J., Millen A.E., Dixon L.B., Newby P.K., Tucker K.L., Krebs-Smith S.M., Guenther P.M. Dietary patterns: Challenges and opportunities in dietary patterns research an experimental biology workshop, April 1, 2006. J. Am. Diet. Assoc. 2007;107:1233–1239. doi: 10.1016/j.jada.2007.03.014. - DOI - PubMed
    1. Tucker K.L. Dietary patterns, approaches, and multicultural perspective. Appl. Physiol. Nutr. Metab. 2010;35:211–218. doi: 10.1139/H10-010. - DOI - PubMed
    1. Ocké M.C. Evaluation of methodologies for assessing the overall diet: Dietary quality scores and dietary pattern analysis. Proc. Nutr. Soc. 2013;72:191–199. doi: 10.1017/S0029665113000013. - DOI - PubMed

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