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Secular trend in dietary patterns of Iranian adults from 2006 to 2017: Tehran lipid and glucose study.


ABSTRACT: BACKGROUND:Based on data regarding nutrition transition in the Middle East and North Africa, this study aim to investigate the general structure and secular trend of dietary patterns reported from the Tehran Lipid and Glucose Study (TLGS) and adherence to these dietary patterns among Iranian population from 2006 till 2017. METHODS:We investigated on four examination waves of TLGS, including wave 1 (2006-2008), wave 2 (2009-2011), wave 3 (2012-2014), and wave 4 (2015-2017), using a validated and reliable food frequency questionnaire. Generalized Estimating Equations was used to assess secular trends in anthropometric, biochemical, and dietary variables across the study period. To identify general structure and secular trend of dietary patterns during each waves, principle component analysis (PCA) and K-mean cluster analysis were used, respectively. RESULTS:After adjusting for potential confounders including age, sex, body mass index, and total energy intake, the carbohydrate and protein intake gradually increased and the total fat intake decreased during study period (P-value

SUBMITTER: Aghayan M 

PROVIDER: S-EPMC7533031 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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Secular trend in dietary patterns of Iranian adults from 2006 to 2017: Tehran lipid and glucose study.

Aghayan Maryam M   Asghari Golaleh G   Yuzbashian Emad E   Mahdavi Maryam M   Mirmiran Parvin P   Azizi Fereidoun F  

Nutrition journal 20201003 1


<h4>Background</h4>Based on data regarding nutrition transition in the Middle East and North Africa, this study aim to investigate the general structure and secular trend of dietary patterns reported from the Tehran Lipid and Glucose Study (TLGS) and adherence to these dietary patterns among Iranian population from 2006 till 2017.<h4>Methods</h4>We investigated on four examination waves of TLGS, including wave 1 (2006-2008), wave 2 (2009-2011), wave 3 (2012-2014), and wave 4 (2015-2017), using a  ...[more]

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