Unknown

Dataset Information

Analysis of dietary patterns and cross-sectional and longitudinal associations with hypertension, high BMI and type 2 diabetes in Peru.


ABSTRACT:

Objective

To determine if specific dietary patterns are associated with risk of hypertension, type 2 diabetes mellitus (T2DM) and high BMI in four sites in Peru.

Design

We analysed dietary patterns from a cohort of Peruvian adults in four geographical settings using latent class analysis. Associations with prevalence and incidence of hypertension, T2DM and high BMI were assessed using Poisson regression and generalised linear models, adjusted for potential confounders.

Setting

Four sites in Peru varying in degree of urbanisation.

Participants

Adults aged ≥35 years (n 3280).

Results

We identified four distinct dietary patterns corresponding to different stages of the Peruvian nutrition transition, reflected by the foods frequently consumed in each pattern

SUBMITTER: Alae-Carew C 

PROVIDER: S-EPMC7613217 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature