Prevalence of metabolic syndrome and its components among a population-based study in south of Iran, PERSIAN Kharameh cohort study

Nikbakht, Hossein-Ali; Rezaianzadeh, Abbas; Seif, Mozhgan; Ghaem, Haleh

doi:10.1016/j.cegh.2020.01.001

Cited by 24 publications

(16 citation statements)

References 46 publications

(54 reference statements)

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“…This study found that the overall prevalence of MetS was 20.6%. The prevalence rate reported in this study was higher than that found in Taiwanese high-tech industry workers (8.2%) 42 , the Philippine general population (18.6%) 43 and a rural Ugandan adult cohort (19.1%) 44 , but lower than that found in populations across Iran (ranged between 33.1% and 37.1%) 26 , 45 , Brazil (34.1%) 24 , Indonesia and the Netherlands (39% vs. 29.2%) 46 , China (ranged between 24.2 and 42.6%) 23 , 25 , 31 , Canada (25%) 47 and Australia (ranged between 21.1 and 30.7%) 48 . From the Malaysian context, population-based prevalence estimates for MetS ranged between 25 and 40% 9 , 16 , 49 , while for specific sub-groups, the prevalence rates of MetS for patients with type 2 diabetes mellitus ranged between 73 and 85% 50 , among elderly people was 43.4% 51 , non-diabetic women post gestational diabetes mellitus was 22% 52 , and for vegetarians accounted for approximately 24.2% 53 .…”

Section: Discussioncontrasting

confidence: 79%

Prevalence of metabolic syndrome and its associated risk factors among staffs in a Malaysian public university

Manaf

Nawi

Tauhid

et al. 2021

Sci Rep

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Public health systems are concerned with the commensurate rise of metabolic syndrome (MetS) incidence across populations worldwide, due to its tendency to amplify greater risk of diabetes and cardiovascular diseases within communities. This study aimed to determine the prevalence of MetS and its associated risk factors among staffs in a Malaysian public university. A cross-sectional study was conducted among 538 staffs from the Universiti Kebangsaan Malaysia (UKM) between April and June 2019. MetS was defined according to JIS “Harmonized” criteria. A questionnaire that consisted of items on socio-demographics, lifestyle risk behaviors and personal medical history information was administered to participants. Subsequently, a series of physical examination and biochemical assessment was conducted at the hall or foyer of selected faculties in the university. Descriptive and inferential statistics were conducted using SPSS version 22.0. Multivariate models were yielded to determine the risk factors associated with MetS. Statistical significance was set at P < 0.05. The overall prevalence of MetS was 20.6%, with men having greater prevalence than women (24.9% vs. 18.3%). Prevalence of MetS increased with age. Factors contributed to MetS in the overall sample were BMI, hypertension, diabetes and physical activity of moderate intensity. Diabetes and hypertension were significantly associated with MetS in men, whereas BMI, diabetes and hyperlipidemia were significantly associated with MetS in women. Lifestyle behaviors and cardio-metabolic risk factors were associated with MetS for the overall sample, and across genders.

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Section: Discussioncontrasting

confidence: 79%

Prevalence of metabolic syndrome and its associated risk factors among staffs in a Malaysian public university

Manaf

Nawi

Tauhid

et al. 2021

Sci Rep

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“…In primary analysis of GCS, diabetes was more prevalent in females (27.3%) rather than males (20.2%) (17). The nding of PERSIAN Kharameh cohort study showed that subjects living in urban areas were more likely to display metabolic syndrome and DM than those living in rural areas [23]. Contrary to our study in Kharameh cohort study, prevalence of impaired fasting glucose in females was higher than males.…”

Section: Roc Curve Analysiscontrasting

confidence: 94%

“…Distribution of ADA risk score Figure 2 presents the frequency of ADA risk scores among participants. The mean ADA risk score for all respondents were 4.48 (SD = 1.55), and using a recommended cut-off values, the prevalence of high risk subjects for preDM and DM were, 23.9% (n = 1912) and 48.5% (n = 3874), respectively.…”

Section: Characteristics Of the Participantsmentioning

confidence: 98%

Detection of High Risk People for Diabetes by American Diabetes Association Risk Score in PERSIAN Guilan Cohort Study

Hasandokht¹,

Joukar²,

Marroufizadeh³

et al. 2020

Preprint

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Background: To determine prevalence of high risk individuals for diabetes mellitus (DM) and pre DM based on American Diabetes Association (ADA) risk score among Iranian people. Methods: Present study was based on 7989 non diabetic subjects aged 35–70 years from 10520 PERSIAN Guilan Cohort Study (PGCS) participants. ADA risk score was calculated for every individual through online calculator. Receiver operating characteristic (ROC) curves was used to study diagnostic accuracy of the anthropometric indices for detecting individuals with high risk ADA score for developing DM, represented by area under the curve (AUC).Results: From 7989 study subjects, ADA risk score found 3874 (48.5%) and 19122 (23%) at risk for developing PreDM and DM, respectively. The results of ROC curve analyses showed the highest diagnostic value was related to waist circumference (WC) followed by Body Mass Index (BMI) (0.695 and 0.693, respectively). The cut-points of WC and BMI for identifying high risk people for DM were 97 and 29, respectively.Conclusions: A large number of our participants had high ADA risk score for developing DM and PreDM that provide the importance of prevention strategies. WC seems to be highest diagnostic value in identifying people (men and women) with DM.

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“…For body mass index participants were divided into the following groups: low weight (BMI < 18.5 kg/m2), normal weight (BMI = 18.5-24.9 kg/ m2), overweight (BMI =25-29.9 kg/m2), and obesity (BMI ≥ kg/m2). Also, the following blood biochemical parameters were used as components of MetS: fasting plasma glucose (FPG), triglycerides (TG), and high-density lipoprotein cholesterol (HDL-C) [28,29].…”

Section: Methodsmentioning

confidence: 99%

Mental disorders pattern in staff of a military unit in Iran: the role of metabolic syndrome on latent class membership

et al. 2021

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Introduction Mental disorders are among the most prevalent health problems of the adult population in the world. This study aimed to identify the subgroups of staff based on mental disorders and assess the independent role of metabolic syndrome (MetS) on the membership of participants in each latent class. Methods This cross-sectional study was conducted among 694 staff of a military unit in Tehran in 2017. All staff of this military unit was invited to participate in this study. The collected data included demographic characteristics, anthropometric measures, blood pressure, biochemical parameters, and mental disorders. We performed latent class analysis using a procedure for latent class analysis (PROC LCA) in SAS to identify class membership of mental disorders using Symptom Checklist-90. Results Three latent classes were identified as healthy (92.7%), mild (4.9%), and severe (2.4%) mental disorders. Having higher age significantly decreased the odds of belonging to the mild class (adjusted OR (aOR = 0.21; 95% confidence interval (CI): 0.05–0.83) compared to the healthy class. Also, obesity decreased the odds of membership in mild class (aOR = 0.10, 95% CI: 0.01–0.92) compared to healthy class. On the other hand, being female increased the odds of being in severe class (aOR = 9.76; 95% CI: 1.35–70.65) class in comparison to healthy class. Conclusion This study revealed that 7.3% of staff fell under mild and severe classes. Considering educational workshops in the workplace about mental disorders could be effective in enhancing staff’s knowledge of these disorders. Also, treatment of comorbid mental disorders may help reduce their prevalence and comorbidity.

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Prevalence of metabolic syndrome and its components among a population-based study in south of Iran, PERSIAN Kharameh cohort study

Cited by 24 publications

References 46 publications

Prevalence of metabolic syndrome and its associated risk factors among staffs in a Malaysian public university

Prevalence of metabolic syndrome and its associated risk factors among staffs in a Malaysian public university

Detection of High Risk People for Diabetes by American Diabetes Association Risk Score in PERSIAN Guilan Cohort Study

Mental disorders pattern in staff of a military unit in Iran: the role of metabolic syndrome on latent class membership

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