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Objectives: To evaluated obesity-related morbidity prevalence among overweight/obese children and adolescents in Saudi Arabia, adiposity indicators and insulin resistance as obesity-related morbidity predictors.
Methods: We enrolled 318 overweight/obese children attending a Pediatric Endocrinology Clinic at King Abdulaziz University Hospital, Saudi Arabia, aged 2-20 years in this retrospective cross-sectional study from September 2019 to March 2021. All children had nutritional obesity, and their body mass index (BMI) standard deviation score was higher than one standard deviation score above the mean for their age and gender. Clinical adiposity indices including BMI, waist circumference (WC), waist-hip ratio (WHR), and bioimpedance analysis (BIA) of body composition were assessed. Biochemical testing of insulin resistance through homeostasis model assessment for insulin resistance and fasting insulin was performed, along with receiver operating curve analysis to obtain optimal cut-off points for obesity-related morbidity.
Results: Obesity related morbidity was found in 61.9%, whereas insulin resistance was detected among 64.7% of the patients. Body mass index standard deviation score, WC, BAI of body composition-derived body fat, homeostasis model assessment for insulin resistance, and fasting insulin are significant obesity-related morbidity predictors, and the cut-off points were established.
Conclusion: Obesity-related morbidity is widely prevalent among obese children and insulin resistance is a key factor in its prediction. Clinical adiposity indices, given their accuracy and practicability, are important predictors of obesity-related morbidity.
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http://dx.doi.org/10.15537/smj.2022.43.2.20210720 | DOI Listing |
Zhong Nan Da Xue Xue Bao Yi Xue Ban
May 2025
Department of Laboratory Animal Science, Xiangya School of Medicine, Central South University, Changsha 410013, China.
Objectives: Recent evidence suggests that the gut may be a primary site of metformin action. However, studies on the effects of metformin on gut microbiota remain limited, and its impact on gut microbial metabolites such as short-/medium-chain fatty acids is unclear. This study aims to investigate the effects of metformin on gut microbiota, short-/medium-chain fatty acids, and associated metabolic benefits in high-fat diet rats.
View Article and Find Full Text PDFEur J Heart Fail
September 2025
Cardiovascular Division, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Aims: The estimated glucose disposal rate (eGDR) is a simple, non-invasive measure of insulin resistance. In this exploratory analysis of FINEARTS-HF, we evaluated whether lower eGDR, reflecting greater insulin resistance, is associated with adverse outcomes in heart failure (HF).
Methods And Results: The eGDR was calculated at baseline using waist circumference, glycated haemoglobin, and hypertension status.
J Obes Metab Syndr
September 2025
Center of Excellence in Digestive diseases and Gastroenterology Unit, Department of Medicine, Thammasat University, Pathumthani, Thailand.
Background: The gut microbiota plays a vital role in various physiological processes, including metabolism. Fecal microbiota transplantation (FMT) involves transferring fecal matter from a healthy donor to rebalance a patient's intestinal dysbiosis. The impact of FMT on metabolic syndrome (MetS) is subject to debate.
View Article and Find Full Text PDFJ Agric Food Chem
September 2025
College of Food Engineering and Nutritional Science, Shaanxi Normal University, Xi'an 710062, Shaanxi, China.
Diet regimes rich in fruits and vegetables have been adopted as effective strategies for the management of type 2 diabetes mellitus (T2DM). Here, we identified miR166e, a plant miRNA abundantly present in fruits and vegetables, as a functional agent that ameliorates T2DM in a mouse model. Orally administered miR166e oligomers passed through digestion, accumulated in the intestines at 14.
View Article and Find Full Text PDFCompr Physiol
October 2025
School of Pharmacy and Medical Sciences, Griffith University, Southport, Queensland, Australia.
Mechanisms underlying cardiovascular, affective, and metabolic (CAM) multimorbidity are incompletely defined. We assessed how two risk factors-chronic stress (CS) and a Western diet (WD)-interact to influence cardiovascular function, resilience, adaptability, and allostatic load (AL); explore pathway involvement; and examine relationships with behavioral, metabolic, and systemic AL. Male C57Bl/6 mice (8 weeks old, n = 64) consumed a control (CD) or WD (12%-65%-23% or 32%-57%-11% calories from fat-carbohydrate-protein) for 17 weeks, with half subjected to 2 h daily restraint stress over the final 2 weeks (CD + CS and WD + CS).
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