9 research outputs found

    Results from bivariate and multivariable logistic regression models showing factors associated with the overall double burden of malnutrition at the household-level in the Philippines, 2013 (n = 5,837).

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    Results from bivariate and multivariable logistic regression models showing factors associated with the overall double burden of malnutrition at the household-level in the Philippines, 2013 (n = 5,837).</p

    Indicators used to classify undernutrition and overnutrition among the study sample.

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    Indicators used to classify undernutrition and overnutrition among the study sample.</p

    Prevalence of individual malnutrition indicators among adults <i>(</i>≥18 years old) in the Philippines in 2013.

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    Prevalence of individual malnutrition indicators among adults (≥18 years old) in the Philippines in 2013.</p

    Definitions used to define the various types of household-level double burden of malnutrition.

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    Definitions used to define the various types of household-level double burden of malnutrition.</p

    Characteristics of sample households overall and by household DBM type, from the 2013 Philippines National Nutrition Survey (n = 5,837).

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    Characteristics of sample households overall and by household DBM type, from the 2013 Philippines National Nutrition Survey (n = 5,837).</p

    Prevalence of individual malnutrition indicators among children and adolescents (≤17 years old) in the Philippines 2013 (n = 11,574).

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    Prevalence of individual malnutrition indicators among children and adolescents (≤17 years old) in the Philippines 2013 (n = 11,574).</p

    Flow diagram of exclusion criteria for both households and individuals used in this study (PNNS: Philippines National Nutrition Survey).

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    Flow diagram of exclusion criteria for both households and individuals used in this study (PNNS: Philippines National Nutrition Survey).</p

    Prevalence of the various types of the household-level double burden of malnutrition in the Philippines based on 2013 National Nutrition Survey data.

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    Prevalence of the various types of the household-level double burden of malnutrition in the Philippines based on 2013 National Nutrition Survey data.</p

    sj-docx-1-nah-10.1177_02601060221151091 - Supplemental material for Inuit-defined determinants of food security in academic research focusing on Inuit Nunangat and Alaska: A scoping review protocol

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    Supplemental material, sj-docx-1-nah-10.1177_02601060221151091 for Inuit-defined determinants of food security in academic research focusing on Inuit Nunangat and Alaska: A scoping review protocol by Angus Naylor, Tiff-Annie Kenny, Sherilee Harper, Dorothy Beale, Zahra Premji, Chris Furgal, James Ford and Matthew Little in Nutrition and Health</p
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