Demographic and lifestyle risk factors for gastroesophageal reflux disease and Barrett's esophagus in Australia
Wang, SE, Kendall, BJ, Hodge, AM, Dixon-Suen, Suzanne, Dashti, SG, Makalic, E, Williamson, EM, Thomas, RJS, Giles, GG and English, DR 2022, Demographic and lifestyle risk factors for gastroesophageal reflux disease and Barrett's esophagus in Australia, Diseases of the Esophagus, vol. 35, no. 1, pp. 1-10, doi: 10.1093/dote/doab058.
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Demographic and lifestyle risk factors for gastroesophageal reflux disease and Barrett's esophagus in Australia
SummaryWe examined demographic and lifestyle risk factors for incidence of gastroesophageal reflux disease (GERD) and Barrett’s esophagus (BE) in an Australian cohort of 20,975 participants aged 40–63 at recruitment (1990–1994). Information on GERD and BE was collected between 2007 and 2010. GERD symptoms were defined as self-reported heartburn or acid regurgitation. BE was defined as endoscopically confirmed columnar-lined esophagus. Risk factors for developing GERD symptoms, BE diagnosis, age at symptom onset, and age at BE diagnosis were quantified using regression. During a mean follow-up of 15.8 years, risk of GERD symptoms was 7.5% (n = 1,318) for daily, 7.5% (n = 1,333) for 2–6 days/week, and 4.3% (n = 751) for 1 day/week. There were 210 (1.0%) endoscopically diagnosed BE cases, of whom 141 had histologically confirmed esophageal intestinal metaplasia. Female sex, younger age, lower socioeconomic position (SEP) and educational attainment, and former smoking were associated with higher GERD risk. Male sex and smoking were associated with earlier GERD symptom onset. Men, older participants, those with higher SEP, and former smokers were at higher BE risk. There was some evidence higher SEP was associated with earlier BE diagnosis. GERD and BE had different demographic risk factors but shared similar lifestyle factors. Earlier GERD symptom onset for men and smokers might have contributed to higher BE risk. The SEP patterns observed for GERD and BE suggest potential inequity in access to care. These findings would be important in the development of clinical risk prediction models for early detection of BE.
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