Evidence Hub

Prevalence and risk factors of gastroesophageal reflux disease symptoms in Mazandaran, North of Iran: A Tabari cohort study

Iradj Maleki, S. Borhani, M. Moosazadeh, Reza Alizadeh-Navaei

Caspian Journal of Internal Medicine, 2024

2 citations

Abstract

Background: Gastro-esophageal reflux disease (GERD) is a very common complaint. It is a major health concern and there is paucity of information about the epidemiology of the disease and its risk factors in Iran, especially Mazandaran province (North of Iran). This study aimed at investigating the prevalence of regurgitation and the factors associated with this condition in Tabari cohort study. Methods: This was a cross-sectional study that analyzed data from Tabari cohort study. Information including the presence and frequency of heartburn and regurgitation, demographic characteristics, socioeconomic status, occupational history, history of chronic illnesses, history of alcohol and cigarette consumption were recorded. Results: The prevalence of GERD symptoms were 27.6% (20.4% in men, and 32.4% in women, p=0.0001). The frequency of typical symptoms was significantly higher in women than that in men. The risk of developing GERD symptoms were 1.7 times higher in women (p=0.0001). The highest prevalence of GERD symptoms was found in urban areas (41.8%, p=0.0001), in people with low educational levels (48%, p=0.0001), and in participants with history of depression symptoms (36.2%, p=0.0001). The prevalence of GERD symptoms was significantly high in individuals with higher BMI (29.5%, p=0.006), greater waist to hip ratio (29.1%, p=0.0001, p=0.0001), and high waist circumference (31.7%, p=0.0001). Conclusion: This study showed gender, region of residence, educational level, and…

How strong is the evidence?

Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free