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Metabolic Obesity - DOAJ

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Last Updated: 08 May 2022

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Risk of Stroke Among Different Metabolic Obesity Phenotypes: A Systematic Review and Meta-Analysis

The risk of stroke increased only when the MHO participants were predominantly females from North America, and when the World Health Organization standard was used to identify obesity, according to subgroup analyses. Conclusions: Regardless of the body mass index, the risk of stroke in MHOW's subgroup analysis of stroke was also associated with a longer duration of stroke. Systematic Review RegistrationThe study protocol was prospectively published in PROSPERO, and the correlation between stroke risk and metabolic health is based on considerable heterogeneity, but high BMI also raises the risk of stroke with metabolic disease but high BMI indicates significant heterogeneity, which requires future study into the effects of sex and transition of the metabolic status on stroke risk.

Source link: https://doi.org/10.3389/fcvm.2022.844550


A Metabolic Obesity Profile Is Associated With Decreased Gray Matter Volume in Cognitively Healthy Older Adults

Obesity is a risk factor for cognitive decline and gray matter volume loss in aging. To illustrate variations in gray matter volume in aging, we therefore attempted to establish a metabolic profile of obesity that takes into account various anthropometric and metabolic factors. The T1-weighted gray matter volume was extracted from T1-weighted images obtained on a 3T Siemens MRI scanner and extracted from T1-weighted photographs. To determine latent variables with maximum covariance between anthropometric, metabolic, and gray matter volume, we used partial least squares correlation with maximum correlation between anthropometric, metabolic, and gray matter volume, as well as applied permutation and cross-validation to determine test validity and reliability of the results. We also investigated the correlation between the latent variables and cognitive performance. We received the most body weight and fat mass measurements, indicating that the factors contributing to sustained energy imbalance, such as sedentary lifestyle or intake of energy-dense foods, could be important determinants of gray matter structure in aging.

Source link: https://doi.org/10.3389/fnagi.2019.00202


Adiposity indicators lipid accumulation product and triglyceride-glucose index as alternate criteria for the diagnosis of metabolic obesity in adult

Regardless of one's body mass index, metabolic obesity refers to the state of having metabolic syndrome. With a cutoff value of 45. 5, the lipid accumulation product was found to be safe to identify the metabolic abnormalities based on receiver operating characteristic curve 0. 9, with sensitivity 90. 9%, specificity 75. 0%, positive predictive value 74. 1%, and negative predictive value 91. 3%. With a cutoff value of 8. 7, the triglyceride-glucose index was found to be a reliable way to measure metabolic obesity in the area under receiver operating characteristic curve 0. 9, with sensitivity 95. 5%, specificity 79. 55, positive predictive value 78. 5%, and negative predictive value 95. 7%.

Source link: https://doi.org/10.3329/bsmmuj.v11i2.36629

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions