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Dietary patterns and cardio-metabolic risk in a population of Guatemalan young adults

Overview of attention for article published in BMC Nutrition, July 2017
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Title
Dietary patterns and cardio-metabolic risk in a population of Guatemalan young adults
Published in
BMC Nutrition, July 2017
DOI 10.1186/s40795-017-0188-5
Pubmed ID
Authors

Nicole D. Ford, Lindsay M. Jaacks, Reynaldo Martorell, Neil K. Mehta, Cria G. Perrine, Manuel Ramirez-Zea, Aryeh D. Stein

Abstract

Latin America is facing an increasing burden of nutrition-related non-communicable disease. Little is known about dietary patterns in Guatemalan adults and how dietary patterns are associated with cardio-metabolic disease (CMD) risk. This analysis is based on data from a 2002-04 follow-up study of the INCAP Nutrition Supplementation Trial Longitudinal Cohort. Diet data were collected using a validated, semi-quantitative food frequency questionnaire. We derived dietary patterns using principal components analysis. CMD risk was assessed by anthropometry (body mass index, waist circumference), biochemistry (fasting blood glucose and lipids), and clinical (blood pressure) measures. We used sex-stratified multivariable log binomial models to test associations between dietary pattern tertile and CMD risk factors. The sample included 1,428 participants (681 men and 747 women) ages 25-43 years. We derived 3 dietary patterns (traditional, meat-based modern, and starch-based modern), collectively explaining 24.2% of variance in the diet. Dietary patterns were not associated with most CMD risk factors; however, higher starch-based modern tertiles were associated with increased prevalence of low high density lipoprotein cholesterol (HDL-c) in men (Prevalence Ratio (PR) 1.17, 95% Confidence Interval (CI) 1.01, 1.20 for tertile 2; PR 1.20, 95% CI 1.00, 1.44 for tertile 3; p trend 0.04). Higher traditional tertile was associated with increased prevalence of abdominal obesity in women (PR 1.24, 95% CI 1.07, 1.43 for tertile 2; PR 1.19, 95% CI 1.02, 1.39 for tertile 3; p trend 0.02) but marginally significant reduced prevalence of low HDL-c in men (PR 0.88, 95% CI 0.76, 1.00 for tertile 2; PR 0.85, 95% CI 0.72, 1.00 for tertile 3; p trend 0.05). Our findings suggest the presence of two 'modern diet' patterns in Guatemala - one of which was associated with increased prevalence of low HDL-c in men. The association between the traditional dietary pattern and some CMD risk factors may vary by sex.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 21%
Student > Bachelor 7 16%
Researcher 5 12%
Student > Doctoral Student 3 7%
Student > Ph. D. Student 3 7%
Other 5 12%
Unknown 11 26%
Readers by discipline Count As %
Medicine and Dentistry 10 23%
Nursing and Health Professions 8 19%
Agricultural and Biological Sciences 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Social Sciences 2 5%
Other 5 12%
Unknown 14 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 31 July 2017.
All research outputs
#14,570,412
of 23,337,345 outputs
Outputs from BMC Nutrition
#267
of 464 outputs
Outputs of similar age
#177,492
of 317,496 outputs
Outputs of similar age from BMC Nutrition
#12
of 19 outputs
Altmetric has tracked 23,337,345 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 464 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 317,496 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.