Non-communicable diseases in the southwest of Iran: profile and baseline data from the Shahrekord PERSIAN Cohort Study

BMC Public Health

Morteza Hashemzadeh¹  Mehraban Sadeghi²  Kamal Solati³  Majid Shirani⁴  Hossein Poustchi⁵  Elaheh Zarean⁶  Reza Goujani⁶  Arsalan Khaledifar⁷  Abdollah Mohammadian-Hafshejani⁸  Ali Ahmadi⁸  Masoumeh Mousavi⁸  Hadi Raeisi Shahraki⁸  Soleiman Kheiri⁸  Pierre-Antoine Dugué⁹  Seyed Saeed Hashemi Nazari^1,10  Ali Zamen Salehifard^1,11  Alireza Asgharzadeh^1,11 

[1]Cellular and Molecular Research Center, Shahrekord University of Medical Sciences, Shahrekord, Iran

[2]Department of Environmental Engineering, School of Public Health, Shahrekord University of Medical Sciences, Shahrekord, Iran

[3]Department of Psychiatry, Shahrekord University of Medical Sciences, Shahrekord, Iran

[4]Department of Urology, Shahrekord University of Medical Sciences, Shahrekord, Iran

[5]Liver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran

[6]Modeling in Health Research Center, Shahrekord University of Medical Sciences, P.O. Box: 881-55383, Shahrekord, Iran

[7]Modeling in Health Research Center, Shahrekord University of Medical Sciences, P.O. Box: 881-55383, Shahrekord, Iran

[8]Department of Cardiology, School of Medicine, Shahrekord University of Medical Sciences, Shahrekord, Iran

[9]Modeling in Health Research Center, Shahrekord University of Medical Sciences, P.O. Box: 881-55383, Shahrekord, Iran

[10]Department of Epidemiology and Biostatistics, School of Public Health, Shahrekord University of Medical Sciences, P.O. Box: 881-55383, Shahrekord, Iran

[11]Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia

[12]Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia

[13]Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia

[14]Safety Promotion and Injury Prevention Research Center, Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran

[15]School of Medicine, Shahrekord University of Medical Sciences, Shahrekord, Iran

关键词: Cohort;    Non-communicable diseases;    Risk factors;    Multimorbidity;    PERSIAN;   

DOI  :  10.1186/s12889-021-12326-y

来源: Springer

【 摘 要 】

BackgroundCritical inter-provincial differences within Iran in the pattern of non-communicable diseases (NCDs) and difficulties inherent to identifying prevention methods to reduce mortality from NCDs have challenged the implementation of the provincial health system plan. The Shahrekord Cohort Study (SCS) was designed to address these gaps in Chaharmahal and Bakhtiari, a province of high altitude in the southwest of Iran, characterized by its large Bakhtiari population, along with Fars and Turk ethnicity groups.MethodsThis ongoing cohort, a prospective, large-scale longitudinal study, includes a unique, rich biobank and was conducted for the first time in Chaharmahal and Bakhtiari Province in Iran. SCS is a part of the PERSIAN (Prospective Epidemiological Research Studies in IrAN) cohort. The study began in 2015, recruited 10075 participants (52.8% female, 47.2% male) from both urban (n=7034) and rural (n=3041) areas, and participants will be annually followed up for at least 15 years. A cross-sectional analysis was conducted using baseline data from the SCS, using descriptive statistics and logistic regression. Data analysis was performed using Stata software.ResultsThe prevalence of NCDs was 9.8% for type 2 diabetes, 17.1% for hypertension, 11.6% for thyroid disease, 0.2% for multiple sclerosis and 5.7, 0.9 and 1.3% for ischemic heart disease, stroke and myocardial infarction, respectively. The prevalence of multimorbidity (≥2 NCDs) was higher in women (39.1%) than men (24.9%). The means (standard deviations) of age, BMI, systolic blood pressure and fasting blood glucose were 49.5 (9) years, 27.6 (4.6) kg/m2, 115.4 (17.3) mmHg and 96.7 (27.3) mg/dL, respectively. Logistic regression models showed that older age, female gender, living in an urban area, non-native ethnicity, high wealth index, unemployment, obesity, low physical activity, hypertriglyceridemia, high fasting blood sugar, alkaline urine pH and high systolic and diastolic blood pressure were associated with increased prevalence of NCDs.ConclusionsThe SCS provides a platform for epidemiological studies that will be useful to better control NCDs in the southwest of Iran and to foster research collaboration. The SCS will be an essential resource for identifying NCD risk factors in this region and designing relevant public health interventions.

【 授权许可】

CC BY