investigating the factors related to gastric cancer with conditional logistic regression model: a cross-sectional-retrospective study

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.