The aim of this study is to assess the nutritional status of Saudi adolescent girls using weight and height measurements. A cross-sectional sample of 676 girls aged 12 to 19 years were selected from Al-Khober city, in the Eastern Province of Saudi Arabia. At all ages median (50th percentiles) heights of Saudi girls are below the 50th percentiles of the international standards. However, the median weight falls between the 75th and 50th of the standards, which may indicate a trend toward obesity. Using the body mass index for determining the nutritional status of the girls, it was found that 11% of girls were underweight, 61% were normal and 28% were overweight or obese. The findings revealed that adolescent girls in Saudi Arabia face two contrasting nutrition situations, underweight and overweight. Similar findings were reported in other Arabian Gulf countries, indicating the need for intervention programmes to promote better nutrition among school children and adolescents in Saudi Arabia.
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http://dx.doi.org/10.1177/026010609901300305 | DOI Listing |
The current study aims to determine how the interactions between practice (distributed/focused) and mental capacity (high/low) in the cloud-computing environment (CCE) affect the development of reproductive health skills and cognitive absorption. The study employed an experimental design, and it included a categorical variable for mental capacity (low/high) and an independent variable with two types of activities (distributed/focused). The research sample consisted of 240 students from the College of Science and College of Applied Medical Sciences at the University of Hail's.
View Article and Find Full Text PDFAfr J Reprod Health
December 2024
Department of Medical Laboratory Technology, College of Nursing and Health Sciences, Jazan University, Jazan, Saudi Arabia.
Folic acid (FA) plays a crucial role in various biological processes. Insufficient intake of FA during pregnancy can lead to serious clinical complications, including neural tube defect. The current study sought to assess the awareness, knowledge, and usage of FA among young females in Jazan region of Saudi Arabia.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Information Technology, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.
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View Article and Find Full Text PDFSensors (Basel)
December 2024
LAPLACE Laboratory-UMR5213, National Polytechnic Institute of Toulouse, 31077 Toulouse, France.
This paper introduces a novel methodology for evaluating communication performance in rotating electric machines using Received Signal Strength Indication (RSSI) measurements coupled with artificial intelligence. The proposed approach focuses on assessing the quality of wireless signals in the complex, dynamic environment inside these machines, where factors like reflections, metallic surfaces, and rotational movements can significantly impact communication. RSSI is used as a key parameter to monitor real-time signal behavior, enabling a detailed analysis of communication reliability.
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December 2024
Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
This systematic review examines EEG-based imagined speech classification, emphasizing directional words essential for development in the brain-computer interface (BCI). This study employed a structured methodology to analyze approaches using public datasets, ensuring systematic evaluation and validation of results. This review highlights the feature extraction techniques that are pivotal to classification performance.
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