Factors Predicting Fecal Occult Blood Testing among Residents of Bushehr, Iran, Based on the Health Belief Model
| Autor: | Kamel Ghobadi Dashdebi, Azita Noroozi, Rahim Tahmasebi |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Male
Cancer Research medicine.medical_specialty Epidemiology Colorectal cancer Cross-sectional study Health Behavior Colonoscopy Logistic regression 03 medical and health sciences 0302 clinical medicine Internal medicine Surveys and Questionnaires medicine Health belief model Humans Mass Screening 030212 general & internal medicine Intensive care medicine Mass screening medicine.diagnostic_test business.industry Fecal occult blood Public Health Environmental and Occupational Health Middle Aged medicine.disease Prognosis Occult Cross-Sectional Studies Oncology 030220 oncology & carcinogenesis Occult Blood Patient Compliance Female business Colorectal Neoplasms Follow-Up Studies |
| Zdroj: | Scopus-Elsevier |
| ISSN: | 2476-762X |
| Popis: | Colorectal cancer is a major cause of mortality worldwide. Fecal occult blood testing has proven a very effective screening tool for early detection and mortality reduction. The aim of this study was to determine predictors factors related to fecal occult blood testing using the Health Belief Model method among residents of Bushehr, Iran. A cross sectional study was performed on a sample of 600 men and women more than 50 years of age. The sample was selected by a convenience method from patients referred to public and private laboratories throughout the city. Each subject filled out a questionnaire which was designed and developed based on Health Belief Model constructs. Statistical analysis was conducted using ANOVA, T-test, chi-square test, and logistic regression. Fecal occult blood tests were performed on 179 (29.8%) out of 600 subjects, of which 95 patients (58.1%) did a periodic examination test and 84 patients (46.9%) had a doctor's advice for testing. According to the logistic regression model, the perceived barriers (P=0.0, Exp(B)= 0.3), perceived benefits (P |
| Databáze: | OpenAIRE |
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