Investigating the Factors Related to Gastric Cancer with Conditional Logistic Regression Model: A Cross-Sectional-Retrospective Study
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Date
2023-03-31
0000-0002-5532-5107 Journal Title
Journal ISSN
Volume Title
Publisher
Brieflands
Abstract
Background: The incidence of stomach cancer in Iran, especially in the western and northwestern regions, has increased in recent years. Objectives: This study aimed to report the identified factors related to stomach cancer in Hamadan province. Methods: In this retrospective descriptive study, the data were collected by a researcher-made checklist. The 1: 2 matched controls were considered for each patient. Controls were age (± 5 years) and sex-matched. The control group was selected from a hospital sample with and without a family history of cancer. The data analysis was analyzed using a conditional logistic regression model under Stata software. Results: A total of 100 patients (male n = 77 and female n = 23) with gastric cancer (cases) were studied. The results showed that many variables such as smoking (P < 0.05), blood type (P < 0.05), job (P < 0.05), red meat (P < 0.05), pickle (P < 0.05), hot food (P < 0.05), salt (P < 0.05), alcohol (P < 0.05), and black tea (P < 0.05) were risk factors and variables such as education (P < 0.05), vegetables (P < 0.05), fruit (P < 0.05), fish (P < 0.05), physical activity (P < 0.05), broccoli (P < 0.05), and garlic (P < 0.05) were the preventive factors for gastric cancer. There was no difference between the investigated factors of controls with a family history of cancer and those without one. Conclusions: Health and treatment organizations and health policymakers are expected to reduce the incidence of stomach cancer by raising awareness and promoting proper diet by reporting the preventive and risk factors.