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©The Author(s) 2025.
World J Gastrointest Pathophysiol. Jun 22, 2025; 16(2): 107994
Published online Jun 22, 2025. doi: 10.4291/wjgp.v16.i2.107994
Published online Jun 22, 2025. doi: 10.4291/wjgp.v16.i2.107994
Table 1 Significance and strength of association for each risk factor of gastroesophageal reflux disease
Factor | Continuous variables | Categorical variables | |||
Spearman ‘rho’ | P value | Fischer’s test | Cramer’s v value | Strength of association | |
Age | 0.573 | < 0.0011 | < 0.0011 | 0.646 | Strong |
Body mass index | 0.749 | < 0.0011 | < 0.0011 | 0.745 | Strong |
Smoking | - | < 0.0011 | 0.476 | Relatively strong | |
Alcoholism | - | < 0.0011 | 0.434 | Relatively strong | |
Sleep | 0.710 | < 0.0011 | < 0.0011 | 0.642 | Strong |
Diet | 0.492 | < 0.0011 | < 0.0011 | 0.639 | Strong |
Stress | 0.289 | < 0.0011 | < 0.0011 | 0.727 | Strong |
Community2 | - | 0.129 | 0.0900 | Very weak | |
Socio-economic status2 | - | 0.932 | 0.0465 | Very weak |
- Citation: Subramanian S, Sundararaju U, Rajakumar HK, Coimbatore Sathyabal V, Murugan A, Gnanavel P, Sathishkumar K. Development and validation of a risk prediction model for gastroesophageal reflux disease: Gastroesophageal Reflux Disease Risk Scoring System. World J Gastrointest Pathophysiol 2025; 16(2): 107994
- URL: https://www.wjgnet.com/2150-5330/full/v16/i2/107994.htm
- DOI: https://dx.doi.org/10.4291/wjgp.v16.i2.107994