Objective: To assist healthcare providers in evidence-based clinical decision-making for the management of overweight and obese adults in Saudi Arabia.
Methods: The Ministry of Health, Riyadh, Kingdom of Saudi Arabia assembled an expert Saudi panel to produce this clinical practice guideline in 2015. In collaboration with the methodological working group from McMaster University, Hamilton, Canada, using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach, which describes both the strength of recommendation and the quality of evidence
Results: After identifying 11 questions, corresponding recommendations were agreed upon as guidance for the management of overweight and obese adults. These included strong recommendations in support of lifestyle interventions rather than usual care alone, individualized counseling interventions rather than generic educational pamphlets, physical activity rather than no physical activity, and physical activity in addition to diet rather than diet alone. Metformin and orlistat were suggested as conditional recommendations for the management of overweight and obesity in adults. Bariatric surgery was recommended, conditionally, for the management of obese adults (body mass index of ≥40 or ≥35 kg/m2 with comorbidities).
Conclusions: The current guideline includes recommendation for the non-pharmacological, pharmacological, and surgical management of overweight and obese adults. In addition, the panel recommends conducting research priorities regarding lifestyle interventions and economic analysis of drug therapy within the Saudi context, as well as long term benefits and harms of bariatric surgery.
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http://dx.doi.org/10.15537/smj.2016.10.14353 | DOI Listing |
Background And Aims: Metabolic dysfunction-associated steatotic liver disease (MASLD) and its more severe subtype, metabolic dysfunction-associated steatohepatitis (MASH), are highly prevalent and strongly associated with obesity and type 2 diabetes (T2D). This study sought to identify challenges to the diagnosis, treatment and management of people living with MASLD and MASH and understand the key barriers to adopting relevant clinical guidelines.
Methods: A real-world, cross-sectional study (BARRIERS-MASLD) consisting of a quantitative survey and qualitative interviews of physicians in France, Germany, Italy, Spain and the United Kingdom was conducted from March to September 2023.
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Cleveland Clinic Metabolic and Bariatric Institute, Cleveland, OH, USA.
To summarize the recent literature regarding the interaction between the public health concerns of obesity and depression and provide preliminary recommendations for assessment and management of patients with co-occurring obesity and depression. RECENT FINDINGS : Recent studies have reinforced that while there is a bi-directional link between obesity and depression, there is stronger evidence that obesity contributes to the development of depression. Recent research has also elucidated potential mediating factors in the association between depression and obesity (e.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
GloNeuro Academy, Noida, Uttar Pradesh, India.
Background: Obesity is caused by the buildup of excess body fat, which upsets homeostasis. Genetic, epigenetic, and behavioural variables all have a role in the pathophysiology of obesity. In turn, obesity throws off the sleep cycle, leading to sleep problems.
View Article and Find Full Text PDFJ Health Popul Nutr
January 2025
Research Center for Non-Communicable Disease, Jahrom University of Medical Sciences, Jahrom, Iran.
Background: Malnutrition, wasting, and obesity among children under 6 years old pose a serious global health concern, increasing the risk of various infectious and non-infectious diseases. Therefore, regular monitoring of these conditions is crucial. This study aimed to evaluate the prevalence of malnutrition in children under 6 years of age from 2018 to 2023.
View Article and Find Full Text PDFBMC Public Health
January 2025
Institute of Child and Adolescent Health, School of Public Health, Peking University, National Health Commission Key Laboratory of Reproductive Health, Beijing, China.
Background: To investigate the joint associations between various body fat distribution parameters and high blood pressure (HBP) using the Bayesian Kernel Machine Regression (BKMR) model in school-aged children.
Methods: A diverse sample of 7 ∼ 17 years old (N = 1423; 50.25% boys) was recruited for this study.
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