AIMTo examine sleep quality and its determinants among people with type 2 diabetes mellitus (T2DM).METHODSThis is a cross-sectional study conducted among diabetic patients referring to Ardabil diabetes clinic in Northwest of Iran. Information on sleep quality was collected using Pittsburg Sleep Quality Index (PSQI). A questionnaire was used to collect data on sociodemographic lifestyle factors and psychological distress. This questionnaire was completed through an interview, and clinical information was extracted from patient’s record. Data analysis was done using SPSS software version 23 and univariate and multivariate analyses.RESULTSStudy participants consist of 256 people with T2DM the majority of whom were women (70%), and mean age of participants was 54.06 ± 9.09. The mean of total score of PSQI was 5.56 ± 3.34. Relative to younger age group, the middle-aged people with T2DM were twice more likely to be poor sleeper; the adjusted OR was 2.03 (95%CI: 1.01-4.08); and those with longer duration of diabetes were about 1.8 times more likely to report poor quality of sleep (ORadj = 1.77, 95%CI: 0.98-3.13). Participants with cholesterol level ≥ 240 mg/dL were about twice more likely to be poor sleeper (ORadj = 1.99, 95%CI: 1.01-3.94). The odds of being poor sleeper increased as the level of distress increased (1.84-4.09).CONCLUSIONAs indicated by the results of the present study, some factors including age, duration of disease, psychological distress and high level of cholesterol were independently associated with poor sleep quality.

BACKGROUND AND OBJECTIVE:There is remarkable alteration in hypertension prevalence and awareness, and their correlates among various geographic locations and ethnic groups. The aim of this study was to report hypertension prevalence, awareness, and its correlates as well as hypertension treatment, and control among Azari people aged 35 years and older.MATERIALS AND METHODS:The pilot phase of the Azar Cohort Study; a state level of a nationwide PERSIAN cohort study was conducted in Khameneh city between October 2014 and January 2015. All people 35 years of age and above were invited to take part in this study. A comprehensive range of different biomarkers, lifestyle, socioeconomic factors, and health-related factors was collected. Blood pressure was measured by a trained nurse/midwife. Descriptive statistical methods were used to present general characteristics of the study population as frequency tables. Separate multiple logistic regression models were built to assess the predictors of hypertension prevalence.RESULTS:A total of 1038 people were included in this study. The overall prevalence of hypertension was 22.9%. Awareness of hypertension was 60.5% and in those with known hypertension, 84% were using the antihypertensive medications, of those 68.5% had controlled hypertension. After adjustment; age (odds ratios [OR]adj= 1.12 95% confidence interval [CI]: 1.09–1.15), gender (ORadj= 1.65 95% CI: 1.08–2.51), obesity ORadj= 2.51 (1.40–4.88), waist-to-hip ratio (WHR) (ORadj= 1.70 (1.05–2.75), and comorbidities (ORadj= 2.51 (1.72–3.66) were independent predictors of hypertension.CONCLUSION:Age, sex, body mass index, WHR, and comorbidities were known as predictors of hypertension in this study, health promotion strategies including lifestyle modification to reduce overweight/obesity and secondary prevention programs for early detection of hypertension in high-risk groups according to age, gender, and disease profile are recommended.

Background There is limited information about the predictors of multimorbidity (MM) among ethnic minority older adults in Iran. This study aimed to examine the impact of sociodemographic and lifestyle factors on the prevalence of MM, among older Kurdish people living in the Northwest of Iran. Methods The current study was conducted in Bukan city located in West Azarbaijan province in the Northwest of Iran. The data for this study was based on the enrolment phase of a longitudinal study on ageing among the Kurdish population aged 50–94 yearswhich was designed according to the elderly component of the PERSIAN Cohort in Iran. Stratified random sampling was used to select people aged 50 + from eight health centres in Bukan from Oct 2017 to Dec 2018. Those who accepted the invitation and completed the baseline questionnaire were included in this study ( N = 1493; Response rate 75%). A range of different factors,including sociodemographic and lifestyle factors as well as self-reported chronic conditions, was obtained by trained interviewers. MM was defined as “coexistence of two or more chronic conditions in the same person”. We included a list of 36 diseases/conditions in this analysis. Descriptive analysis and logistic regression were performed to compare the prevalence of MM according to different factors. Results Over a third of the participants (36.6%) had ≥2chronic conditionsand 15.7% had≥3 chronic conditions. Hypertension, diabetes, musculoskeletal conditions, fatty liver, and heart diseases were common chronic conditions. In a fully adjusted logistic regression model, older age (OR adj = 1.92, 95% CI: 1.48–2.48), being female (OR adj = 1.49, 95%CI: 1.14–1.94), living without aspouse (OR adj = 1.81, 95%CI: 1.34–2.44), and inadequate consumption of fruit and vegetables (OR adj = 1.33, 95%CI: 1.06–1.67) were associated with the higher prevalence of MM. Conclusion This study found that the prevalence of MM is relatively high among older Kurdishadults. Sociodemographic differences in the prevalence of MM might be of interest tothe health care system,and the prevalence of common chronic conditions in this study may highlight the need forlifestyle modifications in this community.

Background: The present study aimed at assessing the validity of self-reported drug use in people aged 35 and older in a pilot phase of a population-based cohort study. Methods: A total of 1038 adults over 35 years old in Khamene city in East Azerbaijan province were recruited for the pilot phase of Azar cohort; a province-level of a nationwide PERSIAN cohort study completing a questionnaire and providing biological samples from October to December 2014. Information about the history and duration of smoking tobacco, using drug and medication were obtained by the physician. The validity of the drug use was assessed through comparing the questionnaire response with three urine strip tests for the detection of morphine, amphetamine and methamphetamine among 259 randomly selected subjects. Results: The prevalence of drug use according to self-report was 2.6% (95% CI: 1.7%-3.8%).One-step drug test as the gold standard for the use of drug self-reported demonstrated a sensitivity(95% CI) and specificity 15% (10-22) and 99.7% (98.9%-99.9%) respectively. All participants with positive self-report were male; however, in the urine analysis drug test, it was positive for 7out of 68 randomly selected women. Conclusion: The validity of self-reported drug use in this population was low; therefore, the self reported use of the drug should be used with caution in this population. It is recommended to use alternative techniques to improve the validity of data using the self-report procedure.

Determining subclinical Brain stroke (BS) risk factors may allow for early and more operative BS prevention measures to find the main risk factors and moderating effects of survival in patients with BS. In this prospective study, a total of 332 patients were recruited from 2004 up to 2018. Cox's proportional hazard regressions were used to analyze the predictors of survival and the moderating effect by introducing the interaction effects. The survival probability 1-, 5- and 10-year death rates were 0.254, 0.053, and 0. 023, respectively. The most important risk factors for predicting BS were age category, sex, history of blood pressure, history of diabetes, history of hyperlipoproteinemia, oral contraceptive pill, hemorrhagic cerebrovascular accident. Interestingly, the age category and education level, smoking and using oral contraceptive pill moderates the relationship between the history of cerebrovascular accident, history of heart disease, and history of blood pressure with the hazard of BS, respectively. Instead of considerable advances in the treatment of the patient with BS, effective BS prevention remains the best means for dropping the BS load regarding the related factors found in this study.

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Background: There is limited information about the predictors of multimorbidity (MM) among ethnic minority older adults in Iran. This study aimed to examine the impact of sociodemographic and lifestyle factors on the prevalence of MM, among older Kurdish people living in the Northwest of Iran. Methods: The current study was conducted in Bukan city located in West Azarbaijan province in the Northwest of Iran. Stratified random sampling was used to select people aged 50 + from eight health centres in Bukan from Oct 2017 to Dec 2018. Those who accepted the invitation and completed the baseline questionnaire were included in this study (N=1493; Response rate 75%). A range of different factors, including sociodemographic and lifestyle factors as well as self-reported chronic conditions, was obtained by trained interviewers. MM was defined as “coexistence of two or more chronic conditions in the same person”. Descriptive analysis and logistic regression were performed to compare the prevalence of MM according to different factors. Results: Over a third of the participants (36.6%) had ≥2 chronic conditions and 15.7% had ≥3 chronic conditions. Hypertension, diabetes, musculoskeletal conditions, fatty liver, and heart diseases were common chronic conditions. In a fully adjusted logistic regression model, older age (ORadj=1.92, 95% CI: 1.48-2.48), being female (ORadj=1.49, 95%CI: 1.14-1.94), living without a spouse (ORadj=1.81, 95%CI: 1.34-2.44), and inadequate consumption of fruit and vegetables (ORadj=1.33, 95%CI: 1.06-1.67) were associated with the higher prevalence of MM. Conclusion: This study found that the prevalence of MM is relatively high among older Kurdish adults. Sociodemographic differences in the prevalence of MM might be of interest to the health care system, and the prevalence of common chronic conditions in this study may highlight the need for lifestyle modifications in this community.

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