Dietary patterns derived using principal component analysis and associations with sociodemographic characteristics and overweight and obesity: A cross-sectional analysis of Iranian adults.

ABSTRACT:

Introduction

This study examined the cross-sectional association between household dietary patterns and sociodemographic characteristics and BMI in a nationally representative sample of Iranian adults.

Methods

Data on 6,833 households (n = 17,824 adults) from the National Comprehensive Study on Household Food Consumption Pattern and Nutritional Status 2001-2003 were used. Principal component analysis (PCA) was used to extract dietary patterns from three household 24-h dietary recalls. Linear regression analyses were used to examine associations between dietary patterns and sociodemographic characteristics and BMI.

Results

Three dietary patterns were identified: the first was characterized by high citrus fruit intake, the second by high hydrogenated fats intake

SUBMITTER: Ebrahimi S 

PROVIDER: S-EPMC10149977 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature