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Abstract Studies have shown that the co-occurrence of diabetes mellitus (DM) and thyroid dysfunction (TD) exacerbates diabetes complications and imposes a financial burden on the healthcare system. Therefore, this study aimed to investigate the prevalence of TD-DM comorbidity and its associated risk factors. This cross-sectional study was conducted on enrollment phase data of the TABARI cohort population which consisted of 10,255 adults aged between 35 to 70 years old residing in Sari, Mazandaran, Iran from 2015 to 2017. A total of 9939 out of 10,255 individuals (96.92%) entered the study. The prevalence of TD among T2DM patients was 13.2%. The prevalence of T2DM among patients with TD was 9.2%. Furthermore, the prevalence of TD-DM comorbidity in the overall population was 2.2%. Logistic regression analysis revealed that the odds of TD-DM comorbidity was significantly higher in women (OR 2.85; 95% CI 1.58–5.11), in the age group of 60–70 years (OR 9.62; 95% CI 3.69–25.10), in smokers (OR 2.32; 95% CI 1.19–4.52), in individuals with high waist circumference (WC) (OR 2.22; 95% CI 1.32–3.75), in individuals with low high-density lipoprotein (HDL) (OR 1.60; 95% CI 1.20–2.14), in individuals with high total cholesterol (TC) (OR 1.71; 95% CI 1.21–2.41), in individuals with high triglycerides (TG) (OR 1.79; 95% CI 1.27–2.51), and significantly lower in individuals with higher physical activity (PA) (OR 0.67; 95% CI 0.49–0.93). The present study demonstrated a prevalence of 2.2% in patients with both TD and T2DM. Additionally, female gender, older age, smoking, high WC, low HDL, high TC, high TG, and low PA were predictors of TD-DM comorbidity.

Background and purpose: The prevalence of metabolic syndrome in societies is increasing. Metabolic syndrome is a cluster of medical conditions that include obesity, hypertension, dyslipidemia, and insulin resistance. Poor dental care is linked to numerous systemic disorders. Scientific research supports the presence of a relationship between oral hygiene and metabolic syndrome. Therefore, the present study was conducted to determine the relationship between oral hygiene based on DMFT (decayed, missing, filled teeth) and metabolic syndrome in the registration phase data of the Tabari cohort population. Materials and methods: This study was cross-sectional and analytical and included participants from the Tabari cohort population who had performed oral health and metabolic syndrome assessments during the registration phase. Throughout the registration period of the Tabari cohort study (TCS), data was gathered from 10255 individuals ranging from 35 to 70 years old. This data was obtained from both urban and mountainous parts of Sari, Mazandaran, Iran, during the years 2015 and 2017. Data regarding education level, occupation status, residential location, socio-economic status, marital status, mental health history, smoking or hookah habits, daily physical activity, dental hygiene practices (such as tooth brushing and flossing frequency), denture usage and care, mouthwash usage, and DMFT index were gathered during the implementation of TCS through interviews and oral examinations. Metabolic syndrome was diagnosed based on the criteria of the third adult treatment panel (ATP III). Ultimately, SPSS version 27 software was utilized to describe the data using mean, standard deviation, and percentage. The qualitative variables were compared with the metabolic syndrome using the chi-square test, while the quantitative variables were compared using the independent t-test in univariate analysis. Furthermore, the process of adjusting for confounding variables was carried out through the utilization of multivariate logistic regression. Results: 9,939 people were included in the final analysis. Independent T-test result showed that there was no significant relationship between metabolic syndrome and DMFT (P=0.156, T=4.59), so the average DMFT in the group with metabolic syndrome was 17.66±9.07, whereas in the non-affected group, it was 16.81±8.99. Based on chi-square test results, significant relationships with metabolic syndrome were found for the use of dentures (P

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

Abstract Background Insomnia and other sleep disorders can cause an increase in blood pressure, thereby resulting in premature death. Regarding this, the present study was conducted to investigate the relationship between hypertension and parameters related to sleep disorders in Tabari cohort population. Methods In this cross-sectional study, the data from the enrollment phase of the Tabari cohort study were adopted. Tabari cohort is a part of the PERSIAN (Prospective Epidemiological Research Studies in Iran) cohort study. Data analysis was performed using descriptive and inferential statistics. Results Out of 10,255 patients enrolled in the Tabari cohort, 2,281 patients (22.2%) had hypertension. According to the results of univariable logistic regression test, the odds ratio of high blood pressure in patients with insomnia and hypersomnia is 1.22 (95% confidence interval [CI], 1.06–1.40) and 1.22 (95% CI, 1.01–1.47) times higher than normal sleep. This odds ratio was not significant after adjusting the effect of sex, age, body mass index, waist circumference, area residence, high-density lipoprotein cholesterol, triglyceride, and total cholesterol variables with multivariable logistic regression. Frequency of routine hypnotic medication usage (14.6% vs. 5.7%, P

Background: The study of the smoking and drug use profile of the Tabari cohort enrolment phase, the outcomes of which will be evaluated in the coming years, has proper comprehensiveness. Therefore, the present study aimed to determine the cigarette and drug use status in the population of the Tabari cohort study (TCS).Methods: In this study, the profile of cigarette and drug use in the TCS was evaluated. Data analysis was performed in SPSS version 24 using percentage, mean, and standard deviation, chi-square, and independent t test.Findings: The frequency of daily smoking in the entire population was 9.1%, and the frequencies in men and women were 21.5% and 0.6%, respectively (P

Background and purpose: Red Cell Distribution Width (RDW) is a parameter that measures changes in red blood cell size reported in a complete blood count test. In this study, we aimed to identify the association between RDW and hypertension in Tabari cohort population. Materials and methods: In this case-control study, case group included all patients with hypertension (n= 2281) participating in Tabari Cohort Study with systolic and diastolic blood pressures more than or equal to 140 and 90, respectively, or those previously diagnosed with hypertension who received antihypertensive drugs. The control group was randomly selected from the Tabari cohort population and matched for sex, age and body mass index. Finally, 2227 people were included in each group. Blood samples were taken from all participants after 12 hours of fasting. Results: Findings showed significant differences between the two groups in all variables studied, including place of residence, level of education, socio-economic status, waist circumference, smoking, and cholesterol level (P0.05). Conclusion: Our study showed that RDW has no predictive role in hypertension and there is no significant pattern between the range of RDW and hypertension.