Factors Affecting Gastric Cancer Using Conditional Logistic Regression Using Bayesian Method: Case-Control Study
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Abstract
Introduction: Gastric cancer is one of the most common and deadly cancers in Iran. Gastric cancer is highly dependent on nutritional factors and geographical location. Therefore, the aim of this study was to evaluate the effect of nutritional factors on gastric cancer in Hamadan-Iran.
Method: This study was performed as a matched case-control study that each case had two controls that matched with cases in age (±5 years) and gender at Diagnostic and Treatment Center of Mahdieh in Hamedan, Iran. First and second control groups contain persons with and without family history of cancer, respectively. Information of nutritional, epidemiological and confounding variables were collected for 100 cases and 200 controls. Controls from hospital samples, friends and acquaintances of the case group were selected. Data were collected using a researcher-made questionnaire. Data were analyzed using conditional logistic regression by Bayesian method.
Results: Findings showed that, compared with individuals in the case group with the family history group with factors hot food (OR=2.35, 0.95%CrI=(1.82,5.19)), black tea (OR=1.60, 0.95%CrI (1.44,1.72)) cigarettes (OR=2.13, 0.95%CrI=(1.68,2.96)), red meat (OR=4.28, 0.95%CrI=(3.11,8.37)), residence (OR=3.15, 0.95%CrI= (1.62,5.65)), fruit (OR=0.75, 0.95% CrI=(0.63,0.83)) and vegetables (OR=0.76, 0.95%CrI=(0.59,0.85)) there was a strong statistical correlation. The results were also valid for the second control group.
Conclusion: The study showed that many controllable nutritional factors in Hamadan affect the incidence of gastric cancer. It is recommended that policymakers and managers inform the public about the risk factors and prevention of gastric cancer through the publication of brochures, television and newspapers.
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35. Cavalcanti, I.D.L., Advances in Cancer Treatment: From Systemic Chemotherapy to Targeted Therapy. Springer Nature.
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37. Liu, H., et al., Effect of coffee consumption on the risk of gastric cancer: a systematic review and meta-analysis of prospective cohort studies. 2015. 10(5): p. e0128501.
2. Ishak, N.S., et al., Incidence, Survival and Prognostic Factors of Oesophagogastric Cancer. J Gastrointest Canc 2021: p. 1-14.
3. Zendehdel, K.J.B. and C.C. Research, Cancer statistics in IR Iran in 2018. 2019. 11(1): p. 1-4.
4. Yasar, A., I. Saritas, and H.J.J.o.m.s. Korkmaz, Computer-aided diagnosis system for detection of stomach cancer with image processing techniques. Journal of medical systems, 2019. 43(4): p. 1-11.
5. Grabovac, I., et al., Gastrointestinal cancer. 2020, Elsevier. p. 128-135.
6. Zhu, J., B. Arsovska, and K.J.I.J.o.C.A.R. Kozovska, Gastric cancer-Statistical analysis data for 2015 to 2018 in Skopje, Republic of North Macedonia. International Journal of Contemporary Applied Researches, 2020. 7(8): p. 32-37.
7. Zha, Z., et al., Analysis on the relationship between smoking status and the onset age of onset and the direct medical expenditure expenses of gastric cancer patients. Zhonghua liu Xing Bing xue za zhi= Zhonghua Liuxingbingxue Zazhi, 2020. 41(9): p. 1482-1486.
8. Prasad, A.S., et al., A Retrospective Study on the Incidence of Carcinoma Stomach in Tertiary Care Hospital. JMSCR, 2020. 25(2): p. 580-583.
9. Rahimi, F., M.J.H. Heidari, and D. Journal, Time trend analysis of stomach cancer incidence in the west of Iran. Health and Development Journal, 2012. 1(2): p. 100.
10. Saeidian, H.A., Geographical and Demographic Information. wikipedia, 2020.
11. Sherman, D.W., et al. Differences in physical, emotional, and social adjustment of intimate, family, and nonfamily patient-partner dyads based on a breast cancer intervention study. in Oncology Nursing Forum. 2009.
12. Shu, L., et al., Dietary patterns and stomach cancer: a meta-analysis. Nutrition and cancer, 2013. 65(8): p. 1105-1115.
13. Toorang, F., et al., Macronutrients Intake and Stomach Cancer Risk in Iran: A Hospital-based Case-Control Study. Journal of Research in Health Sciences, 2021. 21(1): p. 2-6.
14. Behar, D., et al., Retrospective epidemiological study on stomach cancer in a region of western Algeria: about 394 cases between 2011 and 2015. Journal of Gastrointestinal Cancer, 2020: p. 1-5.
15. Long, J.D., R. Loeber, and D.P.J.M.b.r. Farrington, Marginal and random intercepts models for longitudinal binary data with examples from criminology. Multivariate behavioral research 2009. 44(1): p. 28-58.
16. Khosravi Shadmani, F., A. Rajabi, and A.J.Z.J.o.M.S. Gholami, Compare the estimated odds ratios from logistic regression and conditional logistic regression in the case-control study determination risk factors for unintentional childhood poisoning of children in Tehran. Zanko Journal of Medical Sciences, 2016. 16(51): p. 10-21.
17. Bagley, S.C., H. White, and B.A.J.J.o.c.e. Golomb, Logistic regression in the medical literature:: Standards for use and reporting, with particular attention to one medical domain. Journal of clinical epidemiology, 2001. 54(10): p. 979-985.
18. Kleinbaum, D.G. and M.J.L.r.A.s.-l.t. Klein, Analysis of matched data using logistic regression. 2002: p. 227-265.
19. Natarajan, R. and R.E.J.J.o.t.A.S.A. Kass, Reference Bayesian methods for generalized linear mixed models. Journal of the American Statistical Association, 2000. 95(449): p. 227-237.
20. Zhang, K., et al., Expenditure and financial burden for stomach cancer diagnosis and treatment in China: a multicenter study. Frontiers in public health 2020. 8: p. 310.
21. Chen, P., et al., Risk factors of gastric cancer in high-risk region of China: a population-based case-control study. Asian Pacific journal of cancer prevention, 2019. 20(3): p. 775.
22. Acquavella, J., et al., Cancer among farmers: a meta-analysis. Annals of epidemiology, 1998. 8(1): p. 64-74.
23. Afzal, A., M.A. Qayyum, and M.H.J.B.t.e.r. Shah, Study of trace metal imbalances in the scalp hair of stomach cancer patients with different types and stages. Biological trace element research, 2020. 196(2): p. 365-374.
24. Chen, Z., et al., Green tea drinking habits and esophageal cancer in southern China: a case-control study. Asian Pac J Cancer Prev, 2011. 12(1): p. 229-233.
25. Morrison, M.E., et al., Cruciferous vegetable consumption and stomach cancer: a case-control study. Nutrition and cancer, 2020. 72(1): p. 52-61.
26. Wang, J.-W., et al., The associations of comorbidities and consumption of fruit and vegetable with quality of life among stomach cancer survivors. Health and quality of life outcomes, 2018. 16(1): p. 62.
27. Poirier, A.E., et al., Estimates of the current and future burden of cancer attributable to low fruit and vegetable consumption in Canada. Preventive medicine, 2019. 122: p. 20-30.
28. Poorolajal, J., et al., Risk factors for stomach cancer: a systematic review and meta-analysis. Epidemiol Health, 2020. 42: p. e2020004.
29. Majeed, P.D. and K.J.S.J.D.J.o.M. Khoshnaw, Seroprevalence of Helicobacter pylori infection among patients with gastroduodenal disorders in Erbil city. Diyala Journal of Medicine, 2020. 18(1): p. 91-101.
30. Jaka, H., et al., Sero-prevalence and associated factors of Helicobacter pylori infection among adult patients with dyspepsia attending the gastroenterology unit in a tertiary hospital in Mwanza, Tanzania. 2016. 16(3): p. 684-689.
31. Beaumont, J.J., et al., Cancer mortality in a Chinese population exposed to hexavalent chromium in drinking water. Epidemiology 2008. 19(1): p. 12-23.
32. Muhemmed, F.R. and K.B.J.Z.J.o.M.S. Mohammed, Association of chronic urticaria with Helicobacter Pylori infection in Erbil: A case-control study. Zanco Journal of Medical Sciences 2016. 20(2): p. 1376-1384.
33. Christian, S.G., et al., ABO, Rhesus blood groups and haemoglobin variants distribution among individuals with Helicobacter pylori in Igwuruta-Ali, Rivers State. Journal of Advances in Medicine and Medical Research, 2018: p. 1-8.
34. Shaldoum, F.M.J.C.S.I., Helicobacter pylori and Egyptian blood group types. Curr. Sci., 2015. 4(4): p. 714-723.
35. Cavalcanti, I.D.L., Advances in Cancer Treatment: From Systemic Chemotherapy to Targeted Therapy. Springer Nature.
36. Rawla, P. and A.J.P.g. Barsouk, Epidemiology of gastric cancer: global trends, risk factors and prevention. Przeglad gastroenterologiczny, 2019. 14(1): p. 26.
37. Liu, H., et al., Effect of coffee consumption on the risk of gastric cancer: a systematic review and meta-analysis of prospective cohort studies. 2015. 10(5): p. e0128501.
| Files | ||
| Issue | Vol 8 No 4 (2022) | |
| Section | Articles | |
| DOI | https://doi.org/10.18502/jbe.v8i4.13349 | |
| Keywords | ||
| Gastric cancer Case-Control Conditional logistic regression Bayesian Matching | ||
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How to Cite
1.
Naghipour A, Moghimbeigi A, Poorolajal J, Pashaki A. Factors Affecting Gastric Cancer Using Conditional Logistic Regression Using Bayesian Method: Case-Control Study. JBE. 2022;8(4):340-358.
