Morphometric and clinical analysis and nutritional and dietary management of malnourished adult patients in the Marrakech Tensift Al Haouz region, Morocco
HTML: 1
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
This study examined the morphometric and clinical aspects as well as the nutritional and dietary management of undernourished adult patients in the Marrakech Tensift Al Haouz region, Morocco. It highlighted the specific challenges faced by these patients, in particular the significant differences in nutritional requirements and management strategies. Our results showed a significant increase in caloric intake from 19.97±0.64 kcal/kg/d to 27.23±0.12 kcal/kg/d for all patients. Muscle mass increased from 16.71±4.76 kg to 18.75±3.58 kg. The mean albumin increased to 35.9 g/L, indicating an improved protein reserve. Similarly, pre-albumin increased to 186.3 mg/dL, suggesting a rapid response to nutritional intake. At the same time, C-reactive protein levels fell, indicating a reduction in systemic inflammation. In addition, it is important to note that body mass index differed between the sexes, with women tending to gain muscle mass more slowly than men. The results highlight the urgent need to adopt a personalized approach to improving the health and well-being of undernourished patients by adjusting nutritional and dietary interventions to the specific needs of each individual.
Downloads
PlumX Metrics
PlumX Metrics provide insights into the ways people interact with individual pieces of research output (articles, conference proceedings, book chapters, and many more) in the online environment. Examples include, when research is mentioned in the news or is tweeted about. Collectively known as PlumX Metrics, these metrics are divided into five categories to help make sense of the huge amounts of data involved and to enable analysis by comparing like with like.
How to Cite
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
PAGEPress has chosen to apply the Creative Commons Attribution NonCommercial 4.0 International License (CC BY-NC 4.0) to all manuscripts to be published.