Prevalence and Factors Associated with Metabolic Syndrome among Non-Diabetic Saudi Adults: A Cross-Sectional Study

(1) Introduction: given the high prevalence of metabolic syndrome (MetS) in Saudi Arabia, especially in Jeddah, this study aims to understand the dietary and lifestyle-related risk factors among Jeddah’s non-diabetic adults. (2) Material and Methods: Employing a cross-sectional design, non-diabetic...

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Main Authors: Basmah Eldakhakhny, Sumia Enani, Hanan Jambi, Ghada Ajabnoor, Jawaher Al-Ahmadi, Rajaa Al-Raddadi, Lubna Alsheikh, Wesam H. Abdulaal, Hoda Gad, Anwar Borai, Suhad Bahijri, Jaakko Tuomilehto
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Biomedicines
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Online Access:https://www.mdpi.com/2227-9059/11/12/3242
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author Basmah Eldakhakhny
Sumia Enani
Hanan Jambi
Ghada Ajabnoor
Jawaher Al-Ahmadi
Rajaa Al-Raddadi
Lubna Alsheikh
Wesam H. Abdulaal
Hoda Gad
Anwar Borai
Suhad Bahijri
Jaakko Tuomilehto
author_facet Basmah Eldakhakhny
Sumia Enani
Hanan Jambi
Ghada Ajabnoor
Jawaher Al-Ahmadi
Rajaa Al-Raddadi
Lubna Alsheikh
Wesam H. Abdulaal
Hoda Gad
Anwar Borai
Suhad Bahijri
Jaakko Tuomilehto
author_sort Basmah Eldakhakhny
collection DOAJ
description (1) Introduction: given the high prevalence of metabolic syndrome (MetS) in Saudi Arabia, especially in Jeddah, this study aims to understand the dietary and lifestyle-related risk factors among Jeddah’s non-diabetic adults. (2) Material and Methods: Employing a cross-sectional design, non-diabetic adults were sourced from public healthcare centers. Demographics, lifestyle, and dietary habits were surveyed. Blood pressure, anthropometrics, and fasting blood samples measuring plasma glucose, serum triglycerides, and HDL cholesterol were collected. The age cut-off for MetS was ascertained using the receiver operating characteristic curve. Variables influencing MetS were evaluated using univariate logistic regression, and consequential factors underwent multivariate analysis, adjusted for age and sex. (3) Results: Among 1339 participants, 16% had MetS, with age being the strongest predictor (<i>p</i> < 0.001). The optimal age cut-off was 32 years. For those <32, elevated BP in men and waist circumference (WC) in women were most prevalent. For those >32, elevated WC was dominant in both sexes. Univariate logistic regression revealed that higher income and education correlated with lower MetS prevalence, while marriage and smoking were risk factors. Adjusting for age and sex, only very high income had a significant low-risk association (<i>p</i> = 0.034). (4) Conclusion: MetS is notable in the studied group, with age as the pivotal predictor. High income reduces MetS risk, while marital status and smoking could increase it. Since this was a cross-sectional study, cohort studies are needed to validate our findings.
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spelling doaj.art-acc6dcd6931a4e56b0223b6d012b4e112023-12-22T13:55:04ZengMDPI AGBiomedicines2227-90592023-12-011112324210.3390/biomedicines11123242Prevalence and Factors Associated with Metabolic Syndrome among Non-Diabetic Saudi Adults: A Cross-Sectional StudyBasmah Eldakhakhny0Sumia Enani1Hanan Jambi2Ghada Ajabnoor3Jawaher Al-Ahmadi4Rajaa Al-Raddadi5Lubna Alsheikh6Wesam H. Abdulaal7Hoda Gad8Anwar Borai9Suhad Bahijri10Jaakko Tuomilehto11Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi ArabiaSaudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi ArabiaSaudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi ArabiaDepartment of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi ArabiaSaudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi ArabiaSaudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi ArabiaDepartment of Biochemistry, Faculty of Sciences, King Abdulaziz University, Jeddah 21589, Saudi ArabiaDepartment of Biochemistry, Faculty of Sciences, King Abdulaziz University, Jeddah 21589, Saudi ArabiaDepartment of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi ArabiaSaudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi ArabiaDepartment of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi ArabiaSaudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia(1) Introduction: given the high prevalence of metabolic syndrome (MetS) in Saudi Arabia, especially in Jeddah, this study aims to understand the dietary and lifestyle-related risk factors among Jeddah’s non-diabetic adults. (2) Material and Methods: Employing a cross-sectional design, non-diabetic adults were sourced from public healthcare centers. Demographics, lifestyle, and dietary habits were surveyed. Blood pressure, anthropometrics, and fasting blood samples measuring plasma glucose, serum triglycerides, and HDL cholesterol were collected. The age cut-off for MetS was ascertained using the receiver operating characteristic curve. Variables influencing MetS were evaluated using univariate logistic regression, and consequential factors underwent multivariate analysis, adjusted for age and sex. (3) Results: Among 1339 participants, 16% had MetS, with age being the strongest predictor (<i>p</i> < 0.001). The optimal age cut-off was 32 years. For those <32, elevated BP in men and waist circumference (WC) in women were most prevalent. For those >32, elevated WC was dominant in both sexes. Univariate logistic regression revealed that higher income and education correlated with lower MetS prevalence, while marriage and smoking were risk factors. Adjusting for age and sex, only very high income had a significant low-risk association (<i>p</i> = 0.034). (4) Conclusion: MetS is notable in the studied group, with age as the pivotal predictor. High income reduces MetS risk, while marital status and smoking could increase it. Since this was a cross-sectional study, cohort studies are needed to validate our findings.https://www.mdpi.com/2227-9059/11/12/3242metabolic syndrometype 2 diabetesBMI
spellingShingle Basmah Eldakhakhny
Sumia Enani
Hanan Jambi
Ghada Ajabnoor
Jawaher Al-Ahmadi
Rajaa Al-Raddadi
Lubna Alsheikh
Wesam H. Abdulaal
Hoda Gad
Anwar Borai
Suhad Bahijri
Jaakko Tuomilehto
Prevalence and Factors Associated with Metabolic Syndrome among Non-Diabetic Saudi Adults: A Cross-Sectional Study
Biomedicines
metabolic syndrome
type 2 diabetes
BMI
title Prevalence and Factors Associated with Metabolic Syndrome among Non-Diabetic Saudi Adults: A Cross-Sectional Study
title_full Prevalence and Factors Associated with Metabolic Syndrome among Non-Diabetic Saudi Adults: A Cross-Sectional Study
title_fullStr Prevalence and Factors Associated with Metabolic Syndrome among Non-Diabetic Saudi Adults: A Cross-Sectional Study
title_full_unstemmed Prevalence and Factors Associated with Metabolic Syndrome among Non-Diabetic Saudi Adults: A Cross-Sectional Study
title_short Prevalence and Factors Associated with Metabolic Syndrome among Non-Diabetic Saudi Adults: A Cross-Sectional Study
title_sort prevalence and factors associated with metabolic syndrome among non diabetic saudi adults a cross sectional study
topic metabolic syndrome
type 2 diabetes
BMI
url https://www.mdpi.com/2227-9059/11/12/3242
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