AIMS: We assessed the dietary intake of female Saudi Arabian adolescents living in Arar.

METHOD: In this randomised cluster study, female students were selected randomly from assigned schools to form the intervention (n = 68) and control (n = 70) groups. Initially, a 60-minute seminar was held for mothers of students in the intervention group. Subsequently, 6 90-minute sessions were held over 3 months for the intervention group on topics such as food groups, healthy and unhealthy eating, body image and physical activity. The data were analysed using generalized estimating equations.

RESULTS: The interaction effect (group by time) between the groups revealed statistically significant differences for dairy products (P < 0.001), sweetened beverages (P < 0.001), sweetened baked goods (P = 0.022) and fruits and vegetables (P < 0.003). The intervention significantly increased the intake of dairy products (P < 0.001) and fruits and vegetables (P = 0.003). It reduced the intake of sweetened beverages (P < 0.001) and sweetened baked goods (P = 0.010) in the intervention group.

METHODS: A total of 613 patients were recruited for the study from the dental clinic at the Faculty of Dentistry, Najran University, Saudi Arabia. The data collection was done in three parts from the patients who visited the hospital to receive dental treatment. The first part included the socio-demographic characteristics of the patients and the COVID-19 swab tests performed within the past 14 days. The second part was the clinical examination, and the third part was a confirmation of the swab test taken by the patient by checking the Hesen website using the patient ID. After data collection, statistical analysis was carried out using SPSS 26.0. Descriptive analysis was done and expressed as mean, standard deviation, frequency, and percentage (%). A cross-tabulation, also described as a contingency table, was used to identify trends and patterns across data and explain the correlation between different variables.

METHODOLOGY: An electronic search was conducted in PubMed / Medline, Scopus, Google Scholar, and Web of Science databases until January 2023 to retrieve related studies. "Root canal morphology," "Saudi Arabia," "Micro-CT," and "cone-beam computed tomography" were used as keywords. A modified version of previously published risk of bias assessment tool was used to determine the quality assessment of included studies.

RESULTS: The literature search revealed 47 studies that matched the criteria for inclusion, out of which 44 studies used cone beam computed tomography (CBCT) and three were micro-computed tomography (micro-CT) studies. According to the modified version of risk of bias assessment tool, the studies were categorized as low, moderate, and high risk of bias. A total of 47,612 samples were included which comprised of either maxillary teeth (5,412), or mandibular teeth (20,572), and mixed teeth (21,327). 265 samples were used in micro-CT studies while 47,347 teeth samples were used in CBCT studies. Among the CBCT studies, except for three, all the studies were retrospective studies. Frequently used imaging machine and software were 3D Accuitomo 170 and Morita's i-Dixel 3D imaging software respectively. Minimum and maximum voxel sizes were 75 and 300 μm, Vertucci's classification was mostly used to classify the root canal morphology of the teeth. The included micro-CT studies were in-vitro studies where SkyScan 1172 X-ray scanner was the imaging machine with pixel size ranging between 13.4 and 27.4 μm. Vertucci, Ahmed et al. and Pomeranz et al. classifications were applied to classify the root canal morphology.