TY - JOUR
T1 - Non-communicable diseases in the southwest of Iran
T2 - profile and baseline data from the Shahrekord PERSIAN Cohort Study
AU - Ahmadi, Ali
AU - Shirani, Majid
AU - Khaledifar, Arsalan
AU - Hashemzadeh, Morteza
AU - Solati, Kamal
AU - Kheiri, Soleiman
AU - Sadeghi, Mehraban
AU - Mohammadian-Hafshejani, Abdollah
AU - Shahraki, Hadi Raeisi
AU - Asgharzadeh, Alireza
AU - Salehifard, Ali Zamen
AU - Mousavi, Masoumeh
AU - Zarean, Elaheh
AU - Goujani, Reza
AU - Nazari, Seyed Saeed Hashemi
AU - Poustchi, Hossein
AU - Dugué, Pierre Antoine
N1 - Funding Information:
This study received financial support from the Deputy of Research and Technology, Ministry of Health and Medical Education of Iran (grant number: 700/120) and from the Shahrekord University of Medical Sciences, Shahrekord, Iran (grant number: 2763 and 1737). Those funding bodies did not role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.
Publisher Copyright:
© 2021, The Author(s).
PY - 2021/12/13
Y1 - 2021/12/13
N2 - Background: Critical 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. Methods: This 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. Results: The 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. Conclusions: The 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.
AB - Background: Critical 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. Methods: This 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. Results: The 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. Conclusions: The 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.
KW - Cohort
KW - Multimorbidity
KW - Non-communicable diseases
KW - PERSIAN
KW - Risk factors
UR - http://www.scopus.com/inward/record.url?scp=85121285356&partnerID=8YFLogxK
U2 - 10.1186/s12889-021-12326-y
DO - 10.1186/s12889-021-12326-y
M3 - Article
C2 - 34903205
AN - SCOPUS:85121285356
SN - 1471-2458
VL - 21
JO - BMC Public Health
JF - BMC Public Health
IS - 1
M1 - 2275
ER -
