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ORIGINAL ARTICLE
Year : 2020  |  Volume : 11  |  Issue : 1  |  Page : 33

The Most Important Predictors of Metabolic Syndrome Persistence after 10-year Follow-Up: YHHP Study


1 Yazd Cardiovascular Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
2 Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden; Department of Epidemiology, Kermanshah University of Medical Sciences, Kermanshah, Iran
3 Research Unit “Integrated Physiology”, Laboratory of Biochemistry-Human Nutrition, Faculty of Sciences of Bizerte, Carthage University, Tunis, Tunisia
4 Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
5 Department of Agricultural, Food and Nutritional Sciences, University of Alberta, Edmonton, Alberta, Canada
6 Baker Heart and Diabetes Institute; Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
7 Student Research Committee, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
8 Nutrition and Food Security Research Center; Department of Nutrition, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

Correspondence Address:
Seyedeh Mahdieh Namayandeh
Yazd Cardiovascular Research Center, Afshar Hospital, Jomhouri Blvd., Yazd
Iran
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/ijpvm.IJPVM_215_18

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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.


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