Bouqadida Mohammed
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Bouqadida Mohammed has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
- Abdelghani Aboukhalaf
Chouaib Doukkali University
1 shared publication - Abdellah Maissour
Laboratory of Plant Biotechnology, Ecology and Ecosystem Valorization, URL–CNRST n°10, Faculty of Sciences, University Chouaib Doukkali, El Jadida, Morocco
1 shared publication Asmaa EL Filali
Laboratory of Plant Biotechnology, Ecology and Ecosystem Valorization, Faculty of Sciences, Chouaib Doukkali University, El Jadida, Morocco
1 shared publication- Azzedine Hafid
Biotechnology, Environment, Agri-Food and Health Laboratory, Faculty of Sciences Dhar el Mahraz, Sidi Mohamed Ben Abdellah University, Fez 30000, Morocco
1 shared publication - Hanane Oualili
Laboratory of Plant Biotechnology, Ecology and Ecosystem Valorization, Faculty of Sciences, Chouaib Doukkali University, El Jadida, Morocco
1 shared publication - Kacem Makroum
Laboratory of Plant Biotechnology, Ecology and Ecosystem Valorization, Faculty of Sciences, Chouaib Doukkali University, El Jadida, Morocco
1 shared publication
Latest Publications
- Open Access
- 10 June 2026
- Published by Springer Nature in Research Square
Advanced Anthropometric and Body Composition Indices in Sports Science, Nutrition, and Health Assessment: A Systematic Review
Anthropometric assessment is widely used in sports science, nutrition, and health evaluation as a practical and non-invasive method for analyzing body composition, physical performance, and metabolic health. This review aimed to synthesize current evidence regarding the role of anthropometric parameters in sports sciences, nutritional assessment, and health monitoring. A comprehensive literature search was conducted across major scientific databases, covering publications from 2020 to 2026. The findings indicate that anthropometric variables such as body mass index (BMI), waist circumference, waist-to-height ratio (WHtR), skinfold thickness, body circumferences, fat mass percentage (FM%), fat-free mass index (FFMI), and skeletal muscle mass indicators are strongly associated with athletic performance, nutritional status, and cardiometabolic risk. In sports sciences, these measurements are widely applied for talent identification, training monitoring, and performance optimization. In clinical and nutritional contexts, they contribute to the assessment of obesity, sarcopenia, malnutrition, and metabolic disorders. Advanced indices such as Body Roundness Index (BRI), A Body Shape Index (ABSI), somatotype analysis, and Phantom Z-scores provide improved evaluation of body proportionality and fat distribution. Despite their broad applicability, anthropometric methods present limitations related to measurement variability and population specificity. Therefore, combining anthropometric assessment with advanced body composition techniques is recommended to improve accuracy and individualized evaluation. The future of anthropometric science is expected to evolve toward AI-driven digital assessment systems integrated with personalized medicine and population-specific predictive models, allowing highly accurate, real-time, and individualized evaluation of body composition, metabolic health, and sport performance across diverse populations.
- 10 June 2026
- Published by Springer Nature in Research Square
Open AccessAdvanced Anthropometric and Body Composition Indices in Sports Science, Nutrition, and Health Assessment: A Systematic Review
Anthropometric assessment is widely used in sports science, nutrition, and health evaluation as a practical and non-invasive method for analyzing body composition, physical performance, and metabolic health. This review aimed to synthesize current evidence regarding the role of anthropometric parameters in sports sciences, nutritional assessment, and health monitoring. A comprehensive literature search was conducted across major scientific databases, covering publications from 2020 to 2026. The findings indicate that anthropometric variables such as body mass index (BMI), waist circumference, waist-to-height ratio (WHtR), skinfold thickness, body circumferences, fat mass percentage (FM%), fat-free mass index (FFMI), and skeletal muscle mass indicators are strongly associated with athletic performance, nutritional status, and cardiometabolic risk. In sports sciences, these measurements are widely applied for talent identification, training monitoring, and performance optimization. In clinical and nutritional contexts, they contribute to the assessment of obesity, sarcopenia, malnutrition, and metabolic disorders. Advanced indices such as Body Roundness Index (BRI), A Body Shape Index (ABSI), somatotype analysis, and Phantom Z-scores provide improved evaluation of body proportionality and fat distribution. Despite their broad applicability, anthropometric methods present limitations related to measurement variability and population specificity. Therefore, combining anthropometric assessment with advanced body composition techniques is recommended to improve accuracy and individualized evaluation. The future of anthropometric science is expected to evolve toward AI-driven digital assessment systems integrated with personalized medicine and population-specific predictive models, allowing highly accurate, real-time, and individualized evaluation of body composition, metabolic health, and sport performance across diverse populations.