Association between obesity categories with cardiovascular disease and its related risk factors in the MASHAD cohort study population.
cardiovascular risk factors
obesity
Journal
Journal of clinical laboratory analysis
ISSN: 1098-2825
Titre abrégé: J Clin Lab Anal
Pays: United States
ID NLM: 8801384
Informations de publication
Date de publication:
May 2020
May 2020
Historique:
received:
06
07
2019
revised:
23
09
2019
accepted:
01
10
2019
pubmed:
15
12
2019
medline:
20
5
2021
entrez:
15
12
2019
Statut:
ppublish
Résumé
Cardiovascular disease (CVD) is a significant cause of morbidity and mortality globally. Obesity is an important CVD risk factor and is increasing in prevalence. In this study, 3829 men and 5720 women (35-65 years) were enrolled as part of the MASHAD cohort study. Four categories were identified according to body mass index and waist circumference that was defined by the World Health Organization. Logistic regression analysis was used to determine the adjusted odds ratio (OR) for the occurrence of CVD, and Cox regression model was used to evaluate the association of obesity with CVD incidence. We found that the higher risk groups defined by categories of adiposity were significantly related to a higher prevalence of a high serum total cholesterol (TC), and triglycerides (TG), and lower high-density lipoprotein cholesterol (HDL), and higher fasting blood glucose (FBG) in both genders and a higher low-density lipoprotein cholesterol (LDL) in women (P < .001). Additionally, a high percentage of participants with dyslipidemia, high LDL, high TC, and low HDL and a high percentage of participants with metabolic syndrome, diabetes, hypertension, and a high serum TG were observed across obesity categories (P < .001). Moreover, women with the very high degrees of obesity had a greater risk of CVD (HR: 1.91, 95% CI: 1.06-3.43, P = .03). Obesity strongly predicts several CVD risk factors. Following 6 years of follow-up, in individuals within increasing degrees of obesity, there was a corresponding significant increase in CVD events, rising to approximately a twofold higher risk of cardiovascular events in women compared with men.
Sections du résumé
BACKGROUND
BACKGROUND
Cardiovascular disease (CVD) is a significant cause of morbidity and mortality globally. Obesity is an important CVD risk factor and is increasing in prevalence.
METHODS
METHODS
In this study, 3829 men and 5720 women (35-65 years) were enrolled as part of the MASHAD cohort study. Four categories were identified according to body mass index and waist circumference that was defined by the World Health Organization. Logistic regression analysis was used to determine the adjusted odds ratio (OR) for the occurrence of CVD, and Cox regression model was used to evaluate the association of obesity with CVD incidence.
RESULTS
RESULTS
We found that the higher risk groups defined by categories of adiposity were significantly related to a higher prevalence of a high serum total cholesterol (TC), and triglycerides (TG), and lower high-density lipoprotein cholesterol (HDL), and higher fasting blood glucose (FBG) in both genders and a higher low-density lipoprotein cholesterol (LDL) in women (P < .001). Additionally, a high percentage of participants with dyslipidemia, high LDL, high TC, and low HDL and a high percentage of participants with metabolic syndrome, diabetes, hypertension, and a high serum TG were observed across obesity categories (P < .001). Moreover, women with the very high degrees of obesity had a greater risk of CVD (HR: 1.91, 95% CI: 1.06-3.43, P = .03).
CONCLUSION
CONCLUSIONS
Obesity strongly predicts several CVD risk factors. Following 6 years of follow-up, in individuals within increasing degrees of obesity, there was a corresponding significant increase in CVD events, rising to approximately a twofold higher risk of cardiovascular events in women compared with men.
Identifiants
pubmed: 31837061
doi: 10.1002/jcla.23160
pmc: PMC7246371
doi:
Substances chimiques
Cholesterol, HDL
0
Triglycerides
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e23160Subventions
Organisme : Mashhad University of Medical Sciences
ID : 85134
Informations de copyright
© 2019 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals, Inc.
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