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Erschienen in: International Journal of Public Health 9/2016

15.07.2016 | Original Article

Socioeconomic predictors of dietary patterns among Guatemalan adults

verfasst von: Ana-Lucia Mayén, Silvia Stringhini, Nicole D. Ford, Reynaldo Martorell, Aryeh D. Stein, Fred Paccaud, Pedro Marques-Vidal

Erschienen in: International Journal of Public Health | Ausgabe 9/2016

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Abstract

Objectives

We aimed to assess the associations of socioeconomic factors with dietary patterns in a Guatemalan population.

Methods

Cross-sectional data of 1076 participants (42 % men, mean age 32.6 ± 4.2 years) collected between 2002 and 2004 in four rural villages in Guatemala. Dietary patterns were derived using principal component analysis. Chi-square and Poisson regression models were used to assess associations between socioeconomic factors and dietary patterns.

Results

Three dietary patterns were identified: “Western” (high in processed foods), “traditional” (high in traditional foods) and “coffee and sugar”, explaining 11, 7 and 6 % of the variance, respectively. Annual expenditures were associated with a higher adherence to the “Western” pattern: prevalence ratios [(PR) (95 % confidence interval)] 1.92 (1.17–3.15) for the highest vs. lowest expenditure group in men and 8.99 (3.57–22.64) in women. A borderline significant (p = 0.06) negative association was found between the “traditional” pattern and higher household expenditures [0.71 (0.49–1.02) in men] and with schooling [0.23 (0.05–1.02)] in women (p = 0.05).

Conclusions

Dietary patterns in Guatemala are predicted by socioeconomic factors. In particular, high annual expenditures are associated with a more westernized, less traditional diet.
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Metadaten
Titel
Socioeconomic predictors of dietary patterns among Guatemalan adults
verfasst von
Ana-Lucia Mayén
Silvia Stringhini
Nicole D. Ford
Reynaldo Martorell
Aryeh D. Stein
Fred Paccaud
Pedro Marques-Vidal
Publikationsdatum
15.07.2016
Verlag
Springer International Publishing
Erschienen in
International Journal of Public Health / Ausgabe 9/2016
Print ISSN: 1661-8556
Elektronische ISSN: 1661-8564
DOI
https://doi.org/10.1007/s00038-016-0863-3

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