Volume 29, Issue 134 (May & June 2021)                   J Adv Med Biomed Res 2021, 29(134): 145-151 | Back to browse issues page

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Barzegari E, Pasdar Y, Hamzeh B, Darabi M, Moradinazar M, Najafi F. Factors Associated with Thyroid Dysfunction in Hypothyroidism-Endemic Region of Ravansar, 2017-2018: A Cross-Sectional Analysis. J Adv Med Biomed Res 2021; 29 (134) :145-151
URL: http://journal.zums.ac.ir/article-1-6101-en.html
Factors Associated with Thyroid Dysfunction in Hypothyroidism-Endemic Region of Ravansar, 2017-2018: A Cross-Sectional Analysis
Ebrahim Barzegari1 , Yahya Pasdar2 , Behrooz Hamzeh3 , Mehdi Darabi4 , Mehdi Moradinazar5 , Farid Najafi *6
1- Medical Biology Research Center, Health Technology Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
2- Dept. of Nutritional Sciences, School of Public Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
3- Environmental Determinants of Health Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
4- Iran University of Medical Sciences, Tehran, Iran
5- Dept. of Public Health, School of Public Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
6- Environmental Determinants of Health Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran , fnajafi@kums.ac.ir
Abstract:   (135317 Views)

   Background & Objective: Hypothyroidism is a prevalent condition in various regions all over the world, including Iran. This study aimed to identify the factors associated with thyroid dysfunctions in Ravansar area, Kermanshah province. Due to hypo and hyperthyroidism diversity and pathogeneses complexity, machine learning was also integrated; it is as an accurate and potent method for the dimensionality reduction to realize the study objective.
 Materials & Methods: In this study, 10069 individuals participated from Ravansar area. Data were taken from the Ravansar Non-Communicable Diseases (RaNCD) cohort study, which is a part of national PERSIAN cohort. Feature selection was done using random forests machine learning tool. The two thyroid diseases correlation was explored through conventional statistical procedures.
 Results:  Female sex was the most significant risk factor for hypothyroidism (OR=6.24, CI: 4.13-9.63; P<0.001). Depression (OR=2.07, CI: 1.34-3.09; P<0.001), age group of 45-55 years (OR=1.56, CI: 1.18-2.07; P<0.01), daily salt consumption of >10 gr (OR=1.87, CI: 1.15-2.90; P<0.01), kidney stone (OR=1.35, CI: 1.02-1.78; P<0.05) and unsaturated fats intake (OR=1.01, CI: 1.00-1.02; P<0.05) were significantly associated with underactive thyroid condition. No significant associated factor was found for hyperthyroidism.
 Conclusion:  Female sex is a global well-established hypothyroidism-associated factor. The results of the present study suggest taking some measures to reduce hypothyroidism, by addressing the intervening factors.

 
 
Keywords: Hypothyroidism, Hyperthyroidism, Prevalence, Associations, Multifactor dimensionality reduction
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✅ Female sex is a global well-established hypothyroidism-associated factor. The results of the present study suggest taking some measures to reduce hypothyroidism, by addressing the intervening factors.


Type of Study: Original Research Article | Subject: Epidemiologic Studies
Received: 2020/07/3 | Accepted: 2020/12/20 | Published: 2020/12/30
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