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Assessment the relationship between reflux and body mass index with comparing different regression models

AIM: The aim of this study was to determine whether there is relation between body mass index and symptoms of gastro-esophageal reflux disease in our community using Logit, Probit and Complementary log-log models. BACKGROUND: The most frequent statistical tool to address the relationship among a dic...

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Autores principales: Pourhoseingholi, Mohamad Amin, Pourhoseingholi, Asma, Moghimi-Dehkordi, Bijan, Safaee, Azadeh, Solhpour, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Institute for Gastroenterology and Liver Diseases 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4017398/
https://www.ncbi.nlm.nih.gov/pubmed/24834151
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author Pourhoseingholi, Mohamad Amin
Pourhoseingholi, Asma
Moghimi-Dehkordi, Bijan
Safaee, Azadeh
Solhpour, Ali
author_facet Pourhoseingholi, Mohamad Amin
Pourhoseingholi, Asma
Moghimi-Dehkordi, Bijan
Safaee, Azadeh
Solhpour, Ali
author_sort Pourhoseingholi, Mohamad Amin
collection PubMed
description AIM: The aim of this study was to determine whether there is relation between body mass index and symptoms of gastro-esophageal reflux disease in our community using Logit, Probit and Complementary log-log models. BACKGROUND: The most frequent statistical tool to address the relationship among a dichotomous response and other covariates is logistic regression. However logistic regression is familiar for researchers, some other models with similar results are favorable to assess such relationship like as Probit and Complementary log-log. PATIENTS AND METHODS: We carried out a population-based study to estimate the strength of the association between body mass and reflux symptoms. During interview, participants completed a valid Gastro-esophageal Reflux Questionnaire. The coefficients calculated by logistic, Probit and Complementary log-log regression with multivariate adjustments for covariates. RESULTS: Reflux symptoms at least once a week over the last three months were reported by 522 (9.1%) of the 5733 interviewees. There were no evidence in all models to address the significant relation between Reflux and BMI and all models derived in same efficacy. CONCLUSION: Our results showed that the choice of the link function in this analysis is not the most important issue but still a user could also look forward to some other link functions like Probit and Complementary log-log.
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spelling pubmed-40173982014-05-15 Assessment the relationship between reflux and body mass index with comparing different regression models Pourhoseingholi, Mohamad Amin Pourhoseingholi, Asma Moghimi-Dehkordi, Bijan Safaee, Azadeh Solhpour, Ali Gastroenterol Hepatol Bed Bench Original Article AIM: The aim of this study was to determine whether there is relation between body mass index and symptoms of gastro-esophageal reflux disease in our community using Logit, Probit and Complementary log-log models. BACKGROUND: The most frequent statistical tool to address the relationship among a dichotomous response and other covariates is logistic regression. However logistic regression is familiar for researchers, some other models with similar results are favorable to assess such relationship like as Probit and Complementary log-log. PATIENTS AND METHODS: We carried out a population-based study to estimate the strength of the association between body mass and reflux symptoms. During interview, participants completed a valid Gastro-esophageal Reflux Questionnaire. The coefficients calculated by logistic, Probit and Complementary log-log regression with multivariate adjustments for covariates. RESULTS: Reflux symptoms at least once a week over the last three months were reported by 522 (9.1%) of the 5733 interviewees. There were no evidence in all models to address the significant relation between Reflux and BMI and all models derived in same efficacy. CONCLUSION: Our results showed that the choice of the link function in this analysis is not the most important issue but still a user could also look forward to some other link functions like Probit and Complementary log-log. Research Institute for Gastroenterology and Liver Diseases 2011 /pmc/articles/PMC4017398/ /pubmed/24834151 Text en Copyright © 2011 Research Institute for Gastroenterology and Liver Diseases http://creativecommons.org/licenses/by-nc/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly.
spellingShingle Original Article
Pourhoseingholi, Mohamad Amin
Pourhoseingholi, Asma
Moghimi-Dehkordi, Bijan
Safaee, Azadeh
Solhpour, Ali
Assessment the relationship between reflux and body mass index with comparing different regression models
title Assessment the relationship between reflux and body mass index with comparing different regression models
title_full Assessment the relationship between reflux and body mass index with comparing different regression models
title_fullStr Assessment the relationship between reflux and body mass index with comparing different regression models
title_full_unstemmed Assessment the relationship between reflux and body mass index with comparing different regression models
title_short Assessment the relationship between reflux and body mass index with comparing different regression models
title_sort assessment the relationship between reflux and body mass index with comparing different regression models
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4017398/
https://www.ncbi.nlm.nih.gov/pubmed/24834151
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