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Assessment the relationship between reflux and body mass index with comparing different regression models
Mohamad Amin Pourhoseingholi1, Asma Pourhoseingholi1, Bijan Moghimi-Dehkordi1
1Research Institute for Gastroenterology and Liver Disease, Shahid Beheshti University, M.C., Tehran, Iran.
Gastroenterology and Hepatology From Bed to Bench
|May 17, 2014
Summary
This study found no significant link between body mass index (BMI) and gastro-esophageal reflux disease (GERD) symptoms. Different statistical models, including logistic, Probit, and complementary log-log, showed similar results, indicating the choice of model was not critical.
Area of Science:
- Epidemiology
- Biostatistics
Background:
- Logistic regression is commonly used for dichotomous outcomes.
- Probit and complementary log-log models offer alternative approaches for analyzing such relationships.
Purpose of the Study:
- To investigate the association between body mass index (BMI) and gastro-esophageal reflux disease (GERD) symptoms.
- To compare the efficacy of Logit, Probit, and complementary log-log models in assessing this relationship.
Main Methods:
- A population-based study was conducted.
- Participants completed the Gastro-esophageal Reflux Questionnaire.
- Multivariate logistic, Probit, and complementary log-log regression analyses were performed.
Main Results:
- 522 out of 5733 participants (9.1%) reported reflux symptoms weekly.
- No statistically significant relationship was found between BMI and GERD symptoms across all models.
- All tested models demonstrated comparable efficacy.
Conclusions:
- The choice of link function (Logit, Probit, complementary log-log) did not significantly impact the study's findings.
- Alternative link functions can be considered, but the primary conclusion regarding BMI and GERD association remained consistent.
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