Publication Details

AFRICAN RESEARCH NEXUS

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dentistry

A retrospective analysis of radiographic jaw findings in young women; Prevalence and predictors

Journal of International Society of Preventive and Community Dentistry, Volume 7, No. 1, Year 2017

Aims and Objectives: To determine the prevalence and types of jaw pathologic findings as detected in panoramic radiographs of a sample of young women attending a teaching hospital in Al Madinah Al Munawarah, Saudi Arabia, and to determine the most important factors that predict the occurrence of jaw pathologic findings. Materials and Methods: The electronic clinical files of a representative sample of female patients who attended the outpatient dental clinics were retrieved. Patients were aged 18 to 25 years. Types of pathologic radiographic jaw findings and their prevalence were determined through screening of panoramic radiographs. Data were analyzed using the statistical analysis software [SPSS version 21 (IBM Corp.)]. Multiple linear regression was used to explore the significance of some types of dental lesions as predictor variables for the occurrence of jaw pathologic findings. Results: A total of 190 patients (mean age, 22.4 ± 2.46 years) were included in the study. Periapical lesions, retained roots, and alveolar bone loss were detected in 53.6%, 24.8%, and 17.4% of the participants, respectively. Other odontogenic abnormalities such as supernumerary and impacted teeth (6.4% and 33.7%, respectively) were also detected. Patients' age was found to be a good predictor for alveolar bone loss and number of periapical lesions (P ≤ 0.05). Conclusions: A high prevalence of periapical lesions, retained roots, and alveolar bone loss was found among a sample of young female dental attendees, as shown by their panoramic radiographs. Further studies are needed to explore potential risk factors for such a noticeable trend of poor oral health, and the needed strategies to counteract this trend.
Statistics
Citations: 15
Authors: 4
Affiliations: 4
Identifiers
Research Areas
Health System And Policy
Study Design
Cross Sectional Study
Cohort Study
Study Approach
Quantitative
Participants Gender
Female