The Most Important Predictors of Metabolic Syndrome Persistence after 10-year Follow-Up: YHHP Study
Background: Metabolic syndrome (MetS) is one of the world's largest health epidemics, and its management is a major challenge worldwide. The aim of this 10-year follow-up study was to assess the most important predictors of MetS persistence among an Iranian adult population. Methods: In this co...
Main Authors: | , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wolters Kluwer Medknow Publications
2020-01-01
|
Series: | International Journal of Preventive Medicine |
Subjects: | |
Online Access: | http://www.ijpvmjournal.net/article.asp?issn=2008-7802;year=2020;volume=11;issue=1;spage=33;epage=33;aulast=Sareban |
_version_ | 1818137908580712448 |
---|---|
author | Mohammadtaghi Sareban Hassanabadi Seyed Jalil Mirhosseini Masoud Mirzaei Seyedeh Mahdieh Namayandeh Omid Beiki Fadoua Gannar Paolo Boffetta Mohammadreza Pakseresht Maryam Tabesh Nastaran Ahmadi Mahmood Kazeminasab Amin Salehi-Abargouei |
author_facet | Mohammadtaghi Sareban Hassanabadi Seyed Jalil Mirhosseini Masoud Mirzaei Seyedeh Mahdieh Namayandeh Omid Beiki Fadoua Gannar Paolo Boffetta Mohammadreza Pakseresht Maryam Tabesh Nastaran Ahmadi Mahmood Kazeminasab Amin Salehi-Abargouei |
author_sort | Mohammadtaghi Sareban Hassanabadi |
collection | DOAJ |
description | Background: Metabolic syndrome (MetS) is one of the world's largest health epidemics, and its management is a major challenge worldwide. The aim of this 10-year follow-up study was to assess the most important predictors of MetS persistence among an Iranian adult population. Methods: In this cohort study, 887 out of 2000 participants with MetS aged 20–74 years in the central part of Iran were followed-up for about 10 years from 2005–2006 to 2015–2016. MetS was defined based on the criteria of NCEP-ATP III adopted for the Iranian population. Cox proportional hazards regression was conducted to evaluate the predictors of MetS persistence in crude- and multivariate-adjusted models. Results: Our analyses showed that 648 out of 887 participants (73%) completed the follow-up and 565 (87.2%) of them had persistence of MetS after 10-year follow-up. There was a significant association between age, weight, body mass index, triglyceride, and waist circumference in participants who had MetS compared to those without MetS after 10-year follow-up (P < 0.05). There was a direct association between increases in the mean changes of systolic/diastolic blood pressure, waist circumference, and low HDL-C and risk of MetS persistence after adjusting the model for sex and age in the total population (Ptrend< 0.05). The trends were the same for women except in diastolic blood pressure. After adjustment for potential confounders, the risk of MetS persistence in men was significantly higher than women (HR = 1.98, 95% CI: 1.38–2.85, Ptrend= 0.001). Conclusions: Most of the risk factors of MetS were positively associated with persistence of MetS. Therefore, modification of lifestyle is recommended to reduce MetS. |
first_indexed | 2024-12-11T10:03:47Z |
format | Article |
id | doaj.art-cb25d2a7d80c49719abb285003f8bbfe |
institution | Directory Open Access Journal |
issn | 2008-7802 2008-8213 |
language | English |
last_indexed | 2024-12-11T10:03:47Z |
publishDate | 2020-01-01 |
publisher | Wolters Kluwer Medknow Publications |
record_format | Article |
series | International Journal of Preventive Medicine |
spelling | doaj.art-cb25d2a7d80c49719abb285003f8bbfe2022-12-22T01:12:03ZengWolters Kluwer Medknow PublicationsInternational Journal of Preventive Medicine2008-78022008-82132020-01-01111333310.4103/ijpvm.IJPVM_215_18The Most Important Predictors of Metabolic Syndrome Persistence after 10-year Follow-Up: YHHP StudyMohammadtaghi Sareban HassanabadiSeyed Jalil MirhosseiniMasoud MirzaeiSeyedeh Mahdieh NamayandehOmid BeikiFadoua GannarPaolo BoffettaMohammadreza PaksereshtMaryam TabeshNastaran AhmadiMahmood KazeminasabAmin Salehi-AbargoueiBackground: Metabolic syndrome (MetS) is one of the world's largest health epidemics, and its management is a major challenge worldwide. The aim of this 10-year follow-up study was to assess the most important predictors of MetS persistence among an Iranian adult population. Methods: In this cohort study, 887 out of 2000 participants with MetS aged 20–74 years in the central part of Iran were followed-up for about 10 years from 2005–2006 to 2015–2016. MetS was defined based on the criteria of NCEP-ATP III adopted for the Iranian population. Cox proportional hazards regression was conducted to evaluate the predictors of MetS persistence in crude- and multivariate-adjusted models. Results: Our analyses showed that 648 out of 887 participants (73%) completed the follow-up and 565 (87.2%) of them had persistence of MetS after 10-year follow-up. There was a significant association between age, weight, body mass index, triglyceride, and waist circumference in participants who had MetS compared to those without MetS after 10-year follow-up (P < 0.05). There was a direct association between increases in the mean changes of systolic/diastolic blood pressure, waist circumference, and low HDL-C and risk of MetS persistence after adjusting the model for sex and age in the total population (Ptrend< 0.05). The trends were the same for women except in diastolic blood pressure. After adjustment for potential confounders, the risk of MetS persistence in men was significantly higher than women (HR = 1.98, 95% CI: 1.38–2.85, Ptrend= 0.001). Conclusions: Most of the risk factors of MetS were positively associated with persistence of MetS. Therefore, modification of lifestyle is recommended to reduce MetS.http://www.ijpvmjournal.net/article.asp?issn=2008-7802;year=2020;volume=11;issue=1;spage=33;epage=33;aulast=Sarebancohort studiesmetabolic syndromepersistence |
spellingShingle | Mohammadtaghi Sareban Hassanabadi Seyed Jalil Mirhosseini Masoud Mirzaei Seyedeh Mahdieh Namayandeh Omid Beiki Fadoua Gannar Paolo Boffetta Mohammadreza Pakseresht Maryam Tabesh Nastaran Ahmadi Mahmood Kazeminasab Amin Salehi-Abargouei The Most Important Predictors of Metabolic Syndrome Persistence after 10-year Follow-Up: YHHP Study International Journal of Preventive Medicine cohort studies metabolic syndrome persistence |
title | The Most Important Predictors of Metabolic Syndrome Persistence after 10-year Follow-Up: YHHP Study |
title_full | The Most Important Predictors of Metabolic Syndrome Persistence after 10-year Follow-Up: YHHP Study |
title_fullStr | The Most Important Predictors of Metabolic Syndrome Persistence after 10-year Follow-Up: YHHP Study |
title_full_unstemmed | The Most Important Predictors of Metabolic Syndrome Persistence after 10-year Follow-Up: YHHP Study |
title_short | The Most Important Predictors of Metabolic Syndrome Persistence after 10-year Follow-Up: YHHP Study |
title_sort | most important predictors of metabolic syndrome persistence after 10 year follow up yhhp study |
topic | cohort studies metabolic syndrome persistence |
url | http://www.ijpvmjournal.net/article.asp?issn=2008-7802;year=2020;volume=11;issue=1;spage=33;epage=33;aulast=Sareban |
work_keys_str_mv | AT mohammadtaghisarebanhassanabadi themostimportantpredictorsofmetabolicsyndromepersistenceafter10yearfollowupyhhpstudy AT seyedjalilmirhosseini themostimportantpredictorsofmetabolicsyndromepersistenceafter10yearfollowupyhhpstudy AT masoudmirzaei themostimportantpredictorsofmetabolicsyndromepersistenceafter10yearfollowupyhhpstudy AT seyedehmahdiehnamayandeh themostimportantpredictorsofmetabolicsyndromepersistenceafter10yearfollowupyhhpstudy AT omidbeiki themostimportantpredictorsofmetabolicsyndromepersistenceafter10yearfollowupyhhpstudy AT fadouagannar themostimportantpredictorsofmetabolicsyndromepersistenceafter10yearfollowupyhhpstudy AT paoloboffetta themostimportantpredictorsofmetabolicsyndromepersistenceafter10yearfollowupyhhpstudy AT mohammadrezapakseresht themostimportantpredictorsofmetabolicsyndromepersistenceafter10yearfollowupyhhpstudy AT maryamtabesh themostimportantpredictorsofmetabolicsyndromepersistenceafter10yearfollowupyhhpstudy AT nastaranahmadi themostimportantpredictorsofmetabolicsyndromepersistenceafter10yearfollowupyhhpstudy AT mahmoodkazeminasab themostimportantpredictorsofmetabolicsyndromepersistenceafter10yearfollowupyhhpstudy AT aminsalehiabargouei themostimportantpredictorsofmetabolicsyndromepersistenceafter10yearfollowupyhhpstudy AT mohammadtaghisarebanhassanabadi mostimportantpredictorsofmetabolicsyndromepersistenceafter10yearfollowupyhhpstudy AT seyedjalilmirhosseini mostimportantpredictorsofmetabolicsyndromepersistenceafter10yearfollowupyhhpstudy AT masoudmirzaei mostimportantpredictorsofmetabolicsyndromepersistenceafter10yearfollowupyhhpstudy AT seyedehmahdiehnamayandeh mostimportantpredictorsofmetabolicsyndromepersistenceafter10yearfollowupyhhpstudy AT omidbeiki mostimportantpredictorsofmetabolicsyndromepersistenceafter10yearfollowupyhhpstudy AT fadouagannar mostimportantpredictorsofmetabolicsyndromepersistenceafter10yearfollowupyhhpstudy AT paoloboffetta mostimportantpredictorsofmetabolicsyndromepersistenceafter10yearfollowupyhhpstudy AT mohammadrezapakseresht mostimportantpredictorsofmetabolicsyndromepersistenceafter10yearfollowupyhhpstudy AT maryamtabesh mostimportantpredictorsofmetabolicsyndromepersistenceafter10yearfollowupyhhpstudy AT nastaranahmadi mostimportantpredictorsofmetabolicsyndromepersistenceafter10yearfollowupyhhpstudy AT mahmoodkazeminasab mostimportantpredictorsofmetabolicsyndromepersistenceafter10yearfollowupyhhpstudy AT aminsalehiabargouei mostimportantpredictorsofmetabolicsyndromepersistenceafter10yearfollowupyhhpstudy |