Dataset Information

Socioeconomic predictors of dietary patterns among Guatemalan adults.

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.

SUBMITTER: Mayen AL

PROVIDER: S-EPMC5300047 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature

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Publications

Socioeconomic predictors of dietary patterns among Guatemalan adults.

Mayén Ana-Lucia AL Stringhini Silvia S Ford Nicole D ND Martorell Reynaldo R Stein Aryeh D AD Paccaud Fred F Marques-Vidal Pedro P

International journal of public health 20160715 9

<h4>Objectives</h4>We aimed to assess the associations of socioeconomic factors with dietary patterns in a Guatemalan population.<h4>Methods</h4>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.<h4>Results</h4 ...[more]

PMID: 27421467

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Project description: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.

Project description:Older adults are more susceptible to higher inflammatory levels and depression. Moreover, diet may influence inflammation as well as depression but no previous study examined whether inflammatory dietary patterns are related to depression in an older population. To investigate the longitudinal association between inflammatory dietary patterns (using reduced rank regression (RRR)) and depressive symptoms in a population sample of Italian older adults.We included 827 participants (aged?65years) at baseline in 1998. Follow-up measurements were collected after 3, 6 and 9years. We used RRR to identify inflammatory dietary patterns at baseline. The Centre for Epidemiologic Studies Depression (CES-D) scale was used to assess depressive symptoms by using continuous scores and depression by using a cut-off point (CES-D?20).We identified two inflammatory dietary patterns using different sets of response variables. Dietary pattern I was related to inflammatory markers C-reactive protein (CRP), interleukin (IL)-6, tumor necrosis factor ? and was characterized by high intakes of refined grains, sweet snacks, pasta and rice. After full adjustment for confounders, no longitudinal association was found when comparing extreme quartiles of this dietary pattern and depressive symptoms (Q1vs Q4, model 4: B=0.04, 95% CI: -0.06, 0.13) or depression (Q1vs Q4, model 4: OR=0.90, 95% CI: 0.55, 1.45). Dietary pattern II was related to inflammatory markers CRP, IL-18, IL-1?, IL-1 receptor antagonist and was characterized by high intakes of pasta, sugar-sweetened beverages, processed meat and chocolate and sweets. When comparing extreme quartiles, this dietary pattern was not longitudinally associated with depressive symptoms (Q1vs Q4, model 4: B=-0.04, 95% CI: -0.13, 0.05) but an inverse association was found for depression (Q1vs Q4, model 4: OR=0.56, 95% CI: 0.40, 0.94).Our study does not support the hypothesis that dietary patterns linked to inflammatory markers are associated with higher depressive symptoms and higher depression incidence. However, dietary intake in our population of older adults was quite homogeneous which makes it difficult to show clear associations.

Project description:BackgroundDietary patterns represent a broad picture of food and nutrient consumption and may be more predictive of health outcomes than individual foods and nutrients.ObjectiveWe investigated the relations among race, gender, family structure, parental socioeconomic status (SES), dietary patterns, and cardiovascular disease (CVD) profiles among adolescents in the southeastern region of the United States.MethodsA total of 743 adolescents from a cross-sectional study were divided into 4 dietary pattern groups by K-means cluster analysis. Multinomial logistic regression was performed to determine the relations among the parental SES, family structures, and dietary patterns of the adolescents. Associations between dietary patterns and CVD profiles were analyzed by multiple linear regression.ResultsFour dietary patterns were derived: "healthy" (17%), "snacks and sweets" (26%), "processed meat" (20%), and "sugar-sweetened beverage (SSB) and fried food" (37%). Whites and females were more likely to have a "healthy" dietary pattern (Ps < 0.001). There were significant race/ethnicity differences in family structures, SES, and dietary patterns (Ps < 0.05). In whites, higher mother's education and father's education and occupation were associated with greater likelihood of a "healthy" dietary pattern (Ps < 0.05). Stay-at-home mother was associated with less likelihood of an "SSB and fried food" pattern (P = 0.023). In blacks, higher mother's occupation, father's education, and living with both parents were associated with more likelihood of a "healthy" dietary pattern (Ps < 0.05). Stay-at-home father was associated with less likelihood of the "snacks and sweets" (P = 0.025) and "SSB and fried food" dietary patterns (P = 0.044). Overall, adolescents with poor dietary patterns exhibited higher percentage body fat, waist circumference, systolic blood pressure, fasting insulin, homeostasis model assessment of insulin resistance, C-reactive protein, and total triglyceride (Ps < 0.05).ConclusionsOur data suggest that family structure, parental working status, and SES are associated with the diet quality in adolescents. Moreover, "snacks and sweets," "processed meat," and "SSB and fried food" dietary patterns are all associated with worse CVD risk profiles.

Dataset Information

Socioeconomic predictors of dietary patterns among Guatemalan adults.

Objectives

Methods

Results

Conclusions

Publications

Socioeconomic predictors of dietary patterns among Guatemalan adults.

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