Cohort Profile: the Fasa adults Cohort Study (FACS): a prospective study of non-communicable diseases risks
Non-communicable diseases (NCDs) are the leading cause of death in the world and
accounted for 71% of all deaths in the world in 2016. The most important NCDs for this …
accounted for 71% of all deaths in the world in 2016. The most important NCDs for this …
Oral contraceptive pill and metabolic syndrome: Fasa Persian Cohort Study (Descriptive study)
Background and aims The contraceptive use is 56% and prevalence of metabolic syndrome
(MetS) is 30% in Iran. The aim of this study investigates relationship between oral …
(MetS) is 30% in Iran. The aim of this study investigates relationship between oral …
Dietary inflammatory index (DII) is correlated with the incidence of non-alcoholic fatty liver disease (NAFLD): Fasa PERSIAN cohort study
Background Non-alcoholic fatty liver disease (NAFLD) is a prevalent liver disease
predisposing patients to life-threatening conditions, including cirrhosis. There is evidence …
predisposing patients to life-threatening conditions, including cirrhosis. There is evidence …
Androgenic alopecia is associated with higher dietary inflammatory index and lower antioxidant index scores
Background Androgenic alopecia (AGA), the most prevalent hair loss type, causes major
psychological distress and reduced quality of life. A definite and safe cure/prevention for this …
psychological distress and reduced quality of life. A definite and safe cure/prevention for this …
The association between energy-adjusted dietary inflammatory index and metabolic syndrome and its mediatory role for cardiometabolic diseases: a prospective …
Background Metabolic syndrome (MetS) is a collection of medical conditions that elevate the
chance of cardiovascular disease. An unhealthy diet is a major risk factors for MetS through …
chance of cardiovascular disease. An unhealthy diet is a major risk factors for MetS through …
Detection of cardiovascular disease cases using advanced tree-based machine learning algorithms
Cardiovascular disease (CVD) can often lead to serious consequences such as death or
disability. This study aims to identify a tree-based machine learning method with the best …
disability. This study aims to identify a tree-based machine learning method with the best …
Tabari cohort profile and preliminary results in urban areas and mountainous regions of Mazandaran, Iran
Background: The Tabari cohort study (TCS), part of the Prospective Epidemiological
Research Studies in IrAN (PERSIAN), is a large longitudinal prospective cohort designed to …
Research Studies in IrAN (PERSIAN), is a large longitudinal prospective cohort designed to …
Short sleep is associated with higher prevalence and increased predicted risk of cardiovascular diseases in an Iranian population: Fasa PERSIAN Cohort Study
Cardiovascular disease (CVD) is the leading cause of death worldwide. One common factor
that may affect CVD risk factors is sleep disturbance. The factors influencing an individual's …
that may affect CVD risk factors is sleep disturbance. The factors influencing an individual's …
Predicting diabetes in adults: identifying important features in unbalanced data over a 5-year cohort study using machine learning algorithm
Background Imbalanced datasets pose significant challenges in predictive modeling,
leading to biased outcomes and reduced model reliability. This study addresses data …
leading to biased outcomes and reduced model reliability. This study addresses data …
Non-communicable diseases in the southwest of Iran: profile and baseline data from the Shahrekord PERSIAN Cohort Study
Background Critical inter-provincial differences within Iran in the pattern of non-
communicable diseases (NCDs) and difficulties inherent to identifying prevention methods …
communicable diseases (NCDs) and difficulties inherent to identifying prevention methods …