| Title |
Socioeconomic predictors of dietary patterns among Guatemalan adults
|
|---|---|
| Published in |
International Journal of Public Health, July 2016
|
| DOI | 10.1007/s00038-016-0863-3 |
| Pubmed ID | |
| Authors |
Ana-Lucia Mayén, Silvia Stringhini, Nicole D. Ford, Reynaldo Martorell, Aryeh D. Stein, Fred Paccaud, Pedro Marques-Vidal |
| Abstract |
We aimed to assess the associations of socioeconomic factors with dietary patterns in a Guatemalan population. 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. 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). Dietary patterns in Guatemala are predicted by socioeconomic factors. In particular, high annual expenditures are associated with a more westernized, less traditional diet. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Taiwan | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 19% |
| Student > Postgraduate | 7 | 19% |
| Student > Doctoral Student | 3 | 8% |
| Student > Master | 3 | 8% |
| Student > Ph. D. Student | 2 | 6% |
| Other | 5 | 14% |
| Unknown | 9 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 9 | 25% |
| Medicine and Dentistry | 5 | 14% |
| Social Sciences | 4 | 11% |
| Agricultural and Biological Sciences | 2 | 6% |
| Economics, Econometrics and Finance | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 13 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 July 2016.
All research outputs
#15,091,901
of 25,374,647 outputs
Outputs from International Journal of Public Health
#1,135
of 1,900 outputs
Outputs of similar age
#205,553
of 372,254 outputs
Outputs of similar age from International Journal of Public Health
#28
of 36 outputs
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