Public Knowledge of Oral Cancer and Modelling of Demographic Background Factors Affecting this Knowledge in Khartoum State, Sudan.
OBJECTIVE
Knowledge of oral cancer affects early detection and diagnosis of this disease. This study aimed to assess the current level of public knowledge of oral cancer in Khartoum State, Sudan, and examine how demographic background factors affect this knowledge.


METHODS
This cross-sectional study involved 501 participants recruited by systematic random sampling from the outpatient records of three major hospitals in Khartoum State between November 2012 and February 2013. A pretested structured questionnaire was designed to measure knowledge levels. A logistic regression model was utilised with demographic background variables as independent variables and knowledge of oral cancer as the dependent variable. A path analysis was conducted to build a structural model.


RESULTS
Of the 501 participants, 42.5% had no knowledge of oral cancer, while 5.4%, 39.9% and 12.2% had low, moderate and high knowledge levels, respectively. Logistic regression modelling showed that age, place of residence and education levels were significantly associated with knowledge levels (P = 0.009, 0.017 and <0.001, respectively). According to the structural model, age and place of residence had a prominent direct effect on knowledge, while age and residence also had a prominent indirect effect mediated through education levels.


CONCLUSIONS
Education levels had the most prominent positive effect on knowledge of oral cancer among outpatients at major hospitals in Khartoum State. Moreover, education levels were found to mediate the effect of other background variables.
Department of Dental Health, Faculty of Applied Medical Sciences, Al Baha University, Al Baha, Saudi Arabia;
Hamdi A
HA
Al-Hakimi
Department of Oral & Maxillofacial Surgery, Sudan Medical Specialization Board, Khartoum, Sudan;
Abdulqaher E
AE
Othman
Epidemiology Department, Federal Ministry of Health, Khartoum, Sudan.
Omima G
OG
Mohamed
Department of Oral & Maxillofacial Surgery, Sudan Medical Specialization Board, Khartoum, Sudan;
Abdulaal M
AM
Saied
Department of Dental Health, Faculty of Applied Medical Sciences, Al Baha University, Al Baha, Saudi Arabia;
Waled A
WA
Ahmed
Knowledge; Logistic Regression; Oral Cancer; Patient-Specific Modeling; Statistical Model; Sudan