ArticleInternational journal of public health2016
Socioeconomic predictors of dietary patterns among Guatemalan adults.
Article in International journal of public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 16 citations in OpenAlex.
- Overweight and Obesity, Cardiometabolic Health, and Body Composition: Findings From the Follow-Up Studies of the INCAP Longitudinal Study.Food and nutrition bulletin · 2020Trial
- Nutritional Status and Dietary Intakes of a Community of Rural Women in Bárcena Villa Nueva, Guatemala: A Small-Scale Observational Study.Nutrients · 2026Observational
- Dietary, socioeconomic, and maize handling practices associated with aflatoxin and fumonisin exposure among women tortilla makers in 5 departments in Guatemala.PLOS global public health · 2024Article
- The trend in mean height of Guatemalan women born between 1945 and 1995: a century behind.Journal of health, population, and nutrition · 2022Article
- Use of strontium isotope ratios in geolocation of Guatemalan population: Potential role in identification of remains.Journal of forensic sciences · 2022Article
- Third-Trimester Maternal Dietary Patterns Are Associated with Sleep Health among Adolescent Offspring in a Mexico City Cohort.The Journal of nutrition · 2022Article
- Dietary and socioeconomic risk factors for fumonisin exposure among women of reproductive age in 18 municipalities in Guatemala from 2013 to 2014.PLOS global public health · 2022Article
- Cross-country comparison of dietary patterns and overweight and obesity among adult women in urban Sub-Saharan Africa.Public health nutrition · 2021Article
- Exploring dietary patterns in a Mexican adolescent population: A mixed methods approach.Appetite · 2020Article
- Sociodemographic and Regional Determinants of Dietary Patterns in Russia.International journal of environmental research and public health · 2020Article
- Dietary Patterns and Determinants of Changing Diets in Bangladesh from 1985 to 2010.Current developments in nutrition · 2019Article
- Association between aflatoxin-albumin adduct levels and tortilla consumption in Guatemalan adults.Toxicology reports · 2019Article
- Social Demography of Transitional Dietary Patterns in Thailand: Prospective Evidence from the Thai Cohort Study.Nutrients · 2017Article
- Dietary Patterns and Cardio-metabolic Risk in a Population of Guatemalan Young Adults.BMC nutrition · 2017Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
objectivesWe aimed to assess the associations of socioeconomic factors with dietary patterns in a Guatemalan population.
methodsCross-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.
resultsThree 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).
conclusionsDietary 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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.