ArticleJournal of racial and ethnic health disparities2021
Dietary Patterns with Healthy and Unhealthy Traits Among Overweight/Obese Hispanic Women with or at High Risk for Type 2 Diabetes.
Article in Journal of racial and ethnic health disparities, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 11 citations in OpenAlex.
- Lessons Learned From a Program to Reduce Diabetes Risk Among Low-Income Hispanic Women in a Community Health Clinic.Frontiers in endocrinology · 2020Trial
- Review
- Development of a novel web-based platform to support culturally and medically tailored comprehensive nutrition assessments: SPICE-Healthcare.JAMIA open · 2025Article
- Evaluating clinicians' attitudes toward a web-based tool to support culturally and medically tailored nutrition services at the point of care.JAMIA open · 2025Article
- Dietary Patterns and New-Onset Diabetes Mellitus in Southwest China: A Prospective Cohort Study in the China Multi-Ethnic Cohort (CMEC).Nutrients · 2024Article
- Article
- Obesity among Latinx people in the United States: A review.Obesity (Silver Spring, Md.) · 2023Review
- Adherence to Low-Carbohydrate Diets in Patients with Diabetes: A Narrative Review.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022Review
- Social determinants of the Latinx diabetes health disparity: A Oaxaca-Blinder decomposition analysis.SSM - population health · 2021Article
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Authors and funding
15 authors at 5 institutions in 2 countries.
Funding
Abstract
Hispanic women are at high risk for type 2 diabetes (T2D), with obesity and unhealthy eating being important contributing factors. A cross-sectional design was used in this study to identify dietary patterns and their associations with diabetes risk factors. Participants completed a culturally adapted Food Frequency Questionnaire capturing intake over the prior 3 months. Overweight/obese Hispanic women (n = 191) with or at risk for T2D were recruited from a community clinic into a weight loss intervention. Only baseline data was used for this analysis. Dietary patterns and their association with diabetes risk factors (age, body mass index, abdominal obesity, elevated fasting blood glucose [FBG], and hemoglobin A1c). An exploratory factor analysis of dietary data adjusted for energy intake was used to identify eating patterns, and Pearson correlation coefficient (r) to assess the association of the eating patterns with the diabetes risk factors. Six meaningful patterns with healthful and unhealthful traits emerged: (1) sugar and fat-laden, (2) plant foods and fish, (3) soups and starchy dishes, (4) meats and snacks, (5) beans and grains, and (6) eggs and dairy. Scores for the "sugar and fat-laden" and "meats and snacks" patterns were negatively associated with age (r = - 0.230, p = 0.001 and r = - 0.298, p < 0.001, respectively). Scores for "plant foods and fish" were positively associated with FBG (r = 0.152, p = 0.037). Being younger may be an important risk factor for a diet rich in sugar and fat; this highlights the need to assess dietary patterns among younger Hispanic women to identify traits potentially detrimental for their health.
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