Determinant components of newly onset versus improved metabolic syndrome in a population of Iran

0Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

This study aimed to determine the risk factors related to regression and progression of metabolic syndrome, in a 4-year cohort study. A total of 540 individuals (≥ 18 years old) participated in both phase of the study. Participants were categorized into 3 categories of regressed, progressed and unchanged metabolic syndrome (MetS). Demographic, anthropometric and biochemical parameters were assessed for each individual in both phase. Variables differences (delta: Δ) between the two phase of study were calculated. Unchanged group was considered as baseline category. Based on IDF, MetS had been regressed and progressed in 42 participants (7.7%) and 112 (20.7%) participants respectively, in the second phase. More than 47% of people, whose MetS regressed, experienced also NAFLD regression. Results of multiple variable analysis revealed that increased age, positive Δ-TG, and Δ-FBS, significantly increased the odds of MetS progression based on IDF and ATP III definitions, while negative Δ-HDL and Δ-neutrophil to lymph ration increased the odds of progression. On the other hand, negative Δ-TG and positive Δ-HDL significantly increased the odds of Mets regression based of both IDF and ATP III. Management of hypertriglyceridemia, hyperglycemia, and HDL is a critical, non-invasive and accessible approach to change the trend of MetS.

Cite

CITATION STYLE

APA

Lankarani, K. B., Honarvar, B., Keshani, P., & Raeisi Shahraki, H. (2020). Determinant components of newly onset versus improved metabolic syndrome in a population of Iran. Scientific Reports, 10(1). https://doi.org/10.1038/s41598-020-76531-2

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free