Metabolic syndrome (MetS) has been redefined by a new criterion in Japan, in which waist circumference cut-off points, that is 85 cm for men and 90 cm for women, are used; however, objections are rising against this criterion. The present study examined the criterion for waist circumference to predict the accumulation of the components of MetS. In the present study, we used data for 5972 Japanese people who received annual health examinations, and 621 men (16.3%) and 51 women (2.4%) were diagnosed as having MetS. A cut-off point as a predictor for two or more components of MetS was evaluated by the sensitivity/specificity and a receiver operating characteristic analysis. The optimal point of waist circumference was estimated as being approximately 84 cm for men and 80 cm for women. We therefore recommend revising the cut-off value for the criterion of MetS in women according to our results and studies from other investigators. (J Diabetes Invest, doi: 10.1111/j.2040-1124.2010.00020.x, 2010).
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http://dx.doi.org/10.1111/j.2040-1124.2010.00020.x | DOI Listing |
J Med Internet Res
January 2025
Centre for Research in Media and Communication, Faculty of Social Sciences and Humanities, Universiti Kebangsaan Malaysia, Selangor, Malaysia.
Background: Cardiovascular disease (CVD) is a major global health issue, with approximately 70% of cases linked to modifiable risk factors. Digital health solutions offer potential for CVD prevention; yet, their effectiveness in covering the full range of prevention strategies is uncertain.
Objective: This study aimed to synthesize current literature on digital solutions for CVD prevention, identify the key components of effective digital interventions, and highlight critical research gaps to inform the development of sustainable strategies for CVD prevention.
Background: The protective effect of a healthy diet against chronic diseases has been confirmed in several primary studies. This study identifies the dominant food patterns using factor analysis and determining its relationship with metabolic syndrome in female employees participating in the Persian cohort study.
Methods: Female participants with metabolic syndrome (based on the National Cholesterol Education Program (NCEP ATP III) were studied using a cross-sectional design.
Front Med (Lausanne)
January 2025
Department of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Background: Non-alcoholic fatty liver disease (NAFLD) is the most prevalent chronic liver condition in children, underscoring the urgent need for non-invasive markers for early detection in this population.
Methods: We utilized survey data from the National Health and Nutrition Examination Survey (NHANES) 2017-2020 regarding liver ultrasound transient elastography (LUTE) for the diagnosis of NAFLD (dependent variable), and used multiple logistic regression models to explore the association between weight-adjusted waist circumference index (WWI) and the prevalence of NAFLD in US adolescents. Smoothing curves and threshold effect analyses were used to assess the non-linear association between the independent variables and the dependent variable.
Heliyon
January 2025
School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 561113, China.
Introduction: Obesity is a known risk factor for dyslipidemia. We aimed to evaluate the association between nine obesity indices and various types of abnormal lipid levels in the young and middle-aged.
Methods: From July to November 2022, we distributed health survey questionnaires to the target population in the hospital and collected their biochemical and anthropometric data.
Cardiovasc Diabetol
January 2025
Department of Endocrinology, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230001, China.
Background: The coexistence of cardiometabolic diseases (CMDs), defined as cardiometabolic multimorbidity (CMM), has been shown to significantly elevate mortality risk. Insulin resistance (IR) is one of the main contributing factors to the pathogenesis of CMM. Although several surrogates for IR are employed in clinical evaluations, their relationship with mortality in individuals with CMM remains unclear.
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