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Nutrients 2018, 10(6), 703; https://doi.org/10.3390/nu10060703

Comparison of Methods for Estimating Dietary Food and Nutrient Intakes and Intake Densities from Household Consumption and Expenditure Data in Mongolia

1
Department of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA
2
Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA
3
Connors Center for Women’s Health and Gender Biology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
4
Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
5
Department of Nutrition, Mongolian University of Science and Technology, Ulaanbaatar 14191, Mongolia
6
Department of Food Engineering, Mongolian University of Science and Technology, Ulaanbaatar 14191, Mongolia
7
Department of Sociology, Yale University, New Haven, CT 06511, USA
8
Department of Global Health and Populations, Harvard University T.H. Chan School of Public Health, Boston, MA 02115, USA
*
Author to whom correspondence should be addressed.
Received: 12 April 2018 / Revised: 22 May 2018 / Accepted: 29 May 2018 / Published: 31 May 2018
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Abstract

Household consumption and expenditure surveys are frequently conducted around the world and they usually include data on household food consumption, but their applicability to nutrition research is limited by their collection at the household level. Using data from Mongolia, this study evaluated four approaches for estimating diet from household surveys: direct inference from per-capita household consumption; disaggregation of household consumption using a statistical method and the “adult male equivalent” method, and direct prediction of dietary intake. Per-capita household consumption overestimated dietary energy in single- and multi-person households by factors of 2.63 and 1.89, respectively. Performance of disaggregation methods was variable across two household surveys analyzed, while the statistical method exhibited less bias in estimating intake densities (per 100 kcal) of most dietary components in both of the surveys. Increasingly complex prediction models explained 54% to 72% of in-sample variation in dietary energy, with consistent benefits incurred by inclusion of basic dietary measurements. In conclusion, in Mongolia and elsewhere, differences in how household and dietary measurements are recorded make their comparison challenging. Validity of disaggregation methods depends on household survey characteristics and the dietary components that are considered. Relatively precise prediction models of dietary intake can be achieved by integrating basic dietary assessment into household surveys. View Full-Text
Keywords: household consumption and expenditure; adult male equivalent; intra-household distribution; nutrient density; dietary survey; nutrition surveillance; Mongolia household consumption and expenditure; adult male equivalent; intra-household distribution; nutrient density; dietary survey; nutrition surveillance; Mongolia
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Bromage, S.; Rosner, B.; Rich-Edwards, J.W.; Ganmaa, D.; Tsolmon, S.; Tserendejid, Z.; Odbayar, T.-O.; Traeger, M.; Fawzi, W.W. Comparison of Methods for Estimating Dietary Food and Nutrient Intakes and Intake Densities from Household Consumption and Expenditure Data in Mongolia. Nutrients 2018, 10, 703.

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