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Dietary Patterns and Cardiometabolic Risk in a Nationally Representative Adult Cohort

by Paulo J. Ríos, Beatriz Osorio-Peña

Chronic Diseases & Nutrition 2025, 12(1), A11https://doi.org/10.9999/cg.2025.a11Published: 26 Jun 202617 pages, 3860 KB

Abstract

Using dietary recall and biomarker data, we identify diet quality clusters associated with hypertension, dyslipidemia and incident cardiovascular events over a 6-year follow-up.

1. Introduction

Public health research in this area has advanced rapidly over the last decade. Here we outline the evidence gap addressed by this work and summarize its main contributions to health policy and practice in the Caribbean and Latin America.

2. Materials and Methods

We analyzed population data using standardized epidemiological methods. Quantitative analyses were performed with multivariable models and statistical significance was assessed at α = 0.05. Ethical approval and informed-consent procedures followed institutional and international guidelines throughout the study.

3. Results

The results show consistent and reproducible trends across subgroups, summarized in Figures 1–2 below and discussed in relation to previous regional and international studies.

Figure 1. Temporal trends in the primary health outcome across the study population.
Figure 2. Geographic distribution of the studied condition by administrative area.

4. Discussion

Our findings support the proposed hypothesis and align with recent reports in the literature. Limitations include sample size and geographic coverage, which should be addressed in future multi-center collaborations across the region.

5. Conclusions

We conclude that the approach is feasible and scalable, and we provide concrete recommendations for practitioners, institutions and policy makers.

Cite this article
@article{a112025,
  title={Dietary Patterns and Cardiometabolic Risk in a Nationally Representative Adult Cohort},
  author={Paulo J. Ríos and Beatriz Osorio-Peña},
  journal={Chronic Diseases & Nutrition},
  year={2025},
  doi={10.9999/cg.2025.a11}
}