Application of Logistic Regression in Determining Factors Affecting Hypertension: Findings of the Tabari Cohort Study
Background and purpose: Hypertension is a global problem due to its consequences. Recognizing warning signs and taking necessary measures are effective in preventing the disease and its complications. We used the logistic regression model to determine the factors affecting blood pressure based on th...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Mazandaran University of Medical Sciences
2023-01-01
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| Series: | Journal of Mazandaran University of Medical Sciences |
| Subjects: | |
| Online Access: | http://jmums.mazums.ac.ir/article-1-18714-en.html |
| _version_ | 1828002861188907008 |
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| author | Amir Fateminejhad Nouraddin Mousavinasab Jamshid Yazdani Charati Maryam Nabati Motaharreh Kheradmand |
| author_facet | Amir Fateminejhad Nouraddin Mousavinasab Jamshid Yazdani Charati Maryam Nabati Motaharreh Kheradmand |
| author_sort | Amir Fateminejhad |
| collection | DOAJ |
| description | Background and purpose: Hypertension is a global problem due to its consequences. Recognizing warning signs and taking necessary measures are effective in preventing the disease and its complications. We used the logistic regression model to determine the factors affecting blood pressure based on the results of the Tabari Cohort Study.
Materials and methods: This cross-sectional descriptive-analytical study was conducted in people older than 35 years old in Sari, whose information (demographic and anthropometric characteristics, and risk factors) was available at the Tabari Cohort Center in Mazandaran province. Logistic regression model was used to determine the factors affecting hypertension. We did statistical analyses using SPSS V26.
Results: The participants included 6622 people (41.3% men) with an average age of 48.97±8.94 years old. There were 1481 people with high blood pressure (22.4%). According to multivariate logistic regression model, age (10-year period) (OR=2.04-8.11), body mass index (OR=1.72-2.35), total cholesterol (OR=1.34), triglyceride (OR=1.30), the ratio of waist to hip circumferences (OR=1.31), history of cardiovascular diseases (OR=2.09), and diabetes (OR=1.81) were among the factors associated with hypertension (P<0.05).
Conclusion: According to the results of the multivariable logistic regression model, obesity management as the main factor and screening of people for diagnosis, follow-up, and prevention of hypertension are suggested. |
| first_indexed | 2024-04-10T06:49:18Z |
| format | Article |
| id | doaj.art-44d525673a12440488b27a26f1bebd90 |
| institution | Directory Open Access Journal |
| issn | 1735-9260 1735-9279 |
| language | English |
| last_indexed | 2024-04-10T06:49:18Z |
| publishDate | 2023-01-01 |
| publisher | Mazandaran University of Medical Sciences |
| record_format | Article |
| series | Journal of Mazandaran University of Medical Sciences |
| spelling | doaj.art-44d525673a12440488b27a26f1bebd902023-02-28T08:19:07ZengMazandaran University of Medical SciencesJournal of Mazandaran University of Medical Sciences1735-92601735-92792023-01-0132217113123Application of Logistic Regression in Determining Factors Affecting Hypertension: Findings of the Tabari Cohort StudyAmir Fateminejhad0Nouraddin Mousavinasab1Jamshid Yazdani Charati2Maryam Nabati3Motaharreh Kheradmand4 MSc Student in Biostatistics, Faculty of Health, Mazandaran University of Medical Sciences, Sari, Iran Associate Professor, Department of Biostatistics, Health Sciences Research Center, Mazandaran University of Medical Sciences, Sari, Iran Professor, Department of Biostatistics, Health Sciences Research Center, Mazandaran University of Medical Sciences, Sari, Iran Associate Professor, Department of Cardiology, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran Assistant Professor, Health Sciences Research center, Addiction Institute, Mazandaran University of Medical Sciences, Sari, Iran Background and purpose: Hypertension is a global problem due to its consequences. Recognizing warning signs and taking necessary measures are effective in preventing the disease and its complications. We used the logistic regression model to determine the factors affecting blood pressure based on the results of the Tabari Cohort Study. Materials and methods: This cross-sectional descriptive-analytical study was conducted in people older than 35 years old in Sari, whose information (demographic and anthropometric characteristics, and risk factors) was available at the Tabari Cohort Center in Mazandaran province. Logistic regression model was used to determine the factors affecting hypertension. We did statistical analyses using SPSS V26. Results: The participants included 6622 people (41.3% men) with an average age of 48.97±8.94 years old. There were 1481 people with high blood pressure (22.4%). According to multivariate logistic regression model, age (10-year period) (OR=2.04-8.11), body mass index (OR=1.72-2.35), total cholesterol (OR=1.34), triglyceride (OR=1.30), the ratio of waist to hip circumferences (OR=1.31), history of cardiovascular diseases (OR=2.09), and diabetes (OR=1.81) were among the factors associated with hypertension (P<0.05). Conclusion: According to the results of the multivariable logistic regression model, obesity management as the main factor and screening of people for diagnosis, follow-up, and prevention of hypertension are suggested.http://jmums.mazums.ac.ir/article-1-18714-en.htmllogistic regressionhypertensioncardiovascular diseasetabari cohort |
| spellingShingle | Amir Fateminejhad Nouraddin Mousavinasab Jamshid Yazdani Charati Maryam Nabati Motaharreh Kheradmand Application of Logistic Regression in Determining Factors Affecting Hypertension: Findings of the Tabari Cohort Study Journal of Mazandaran University of Medical Sciences logistic regression hypertension cardiovascular disease tabari cohort |
| title | Application of Logistic Regression in Determining Factors Affecting Hypertension: Findings of the Tabari Cohort Study |
| title_full | Application of Logistic Regression in Determining Factors Affecting Hypertension: Findings of the Tabari Cohort Study |
| title_fullStr | Application of Logistic Regression in Determining Factors Affecting Hypertension: Findings of the Tabari Cohort Study |
| title_full_unstemmed | Application of Logistic Regression in Determining Factors Affecting Hypertension: Findings of the Tabari Cohort Study |
| title_short | Application of Logistic Regression in Determining Factors Affecting Hypertension: Findings of the Tabari Cohort Study |
| title_sort | application of logistic regression in determining factors affecting hypertension findings of the tabari cohort study |
| topic | logistic regression hypertension cardiovascular disease tabari cohort |
| url | http://jmums.mazums.ac.ir/article-1-18714-en.html |
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