Suchergebnisse

Abstract Objective This study aimed to determine identify any association between shift work and the metabolic syndrome by comparing the prevalence rates of the metabolic syndrome in shift work groups and daytime work groups for female workers. Methods Based on data from health examinations carried out from April to December of 2012, we selected as our subjects 254 female workers from the Daegu area Dyeing Industrial Complex. We diagnosed the metabolic syndrome using the examination results, and information about age, whether or not they did shift work, job type, smoking habits, drinking habits, exercise habits, and past medical history was collected through self-administered questionnaire surveys and face-to-face interviews. The variables found in a univariate analysis to be significant in the occurrence of the metabolic syndrome - age, drinking habits, exercise habits, and shift work - were included in a logistic regression analysis of the risk of the metabolic syndrome for female workers. Results The prevalence rates of the metabolic syndrome for the total group of study subjects was 11.8%, for daytime workers was 2.8%, and for shift workers was 15.3%. A logistic regression analysis of the odds of the metabolic syndrome for female workers was conducted that included factors associated with the occurrence of the metabolic syndrome: age, drinking habits, exercise habits, and shift work. The results revealed that the odds ratio of the metabolic syndrome in the shift work group, 6.30 (95% CI 1.24-32.15), was significantly higher when compared with the daytime work group. Conclusion Shift work appears to have an association with the metabolic syndrome in female workers. Accordingly, we believe that the attention of government agencies and business owners is needed together with the individual practice of health behaviors to manage the metabolic syndrome for the prevention of cardiovascular disease in female shift workers.

Polycystic ovary syndrome (PCOS) is the most common endocrinopathy of reproductive-aged women that manifests itself with a variety of features. For this reason, three different diagnostic criteria have been introduced. For adults, the National Institutes of Health Conference (NIH) criteria, which consists of hyperandrogenism and oligo-anovulation, is the most widely used. Symptoms of PCOS usually start with puberty and may overlap with normal pubertal development. Hormonal fluctuations during this period make the diagnosis of PCOS more difficult. Until now, there is no validated diagnostic criteria for PCOS in adolescents. Although menstrual disorders and cosmetic problems are the most common complaints of adolescents with PCOS, patients should also be evaluated for the potential risk for insulin resistance, obesity, subclinical atherosclerosis, diabetes, metabolic syndrome and cardiovascular disease. Obesity is the most prominent predictor of metabolic syndrome. As the incidence of obesity is increasing both in childhood and adolescence, governments will be faced with a social and economic burden in the future. Adolescents with PCOS are more obese than normal adolescents and have an increased risk of metabolic syndrome. It is suggested that abdominal adiposity increases the risk of metabolic syndrome by inducing various cytokine secretions. Although there is no consensus on metabolic syndrome criteria in the adolescent period, International Diabetes Federation (IDF) criteria may be used for children older than 10 years. Various clinical and metabolic markers are investigated for the prediction of metabolic syndrome in the literature. Waist circumference, serum triglycerides and androgens are the suspected predictors of metabolic syndrome. The prevention of abdominal adiposity and the early diagnosis of PCOS in adolescence should be the main target for the prevention of metabolic syndrome. Clinicians should investigate adolescents with PCOS for metabolic and cardiovascular risks and take preventive action. A ...

Metabolic syndrome (MetS) represents a cluster of metabolic and cardiovascular complications, including obesity and visceral adiposity, insulin resistance, dyslipidemia, hyperglycemia and hypertension, which directly increase the risk of cardiovascular diseases (CVD) and diabetes mellitus type 2 (DM2). Patients with arthritic diseases, such as rheumatoid arthritis and osteoarthritis, have a higher incidence of CVD. Although recent advances in the treatment of arthritic diseases, the incidence of CVD remains elevated, and MetS has been identified as a possible link between CVD and arthritic diseases. Chronic low-grade inflammation associated with obesity has been established as a significant contributing factor to the increased prevalence of MetS. Adipokines, which play important physiological roles in metabolic activities contributing to the pathogenesis of MetS, are also involved in the regulation of autoimmune and/or inflammatory processes associated with arthritic diseases. Therefore, MetS and dysregulated secretion of pro-inflammatory adipokines have been recognized as a molecular link between CVD and arthritis diseases. In the present paper, we review recent evidence supporting the role played by adipokines, in particular leptin, adiponectin, and lipocalin-2, in the modulation of the immune system, MetS and arthritic diseases. The underlying cellular and molecular mechanisms are discussed, as well as potential new therapeutic strategies. ; Acknowledgments: OG and FL are Staff Personnel of Xunta de Galicia (Servizo Galego de Saude, SERGAS) through a research-staff stabilization contract (ISCIII/SERGAS). VF is a "Sara Borrell" Researcher funded by ISCIII and FEDER (CD16/00111). RG is a "Miguel Servet" Researcher funded by Instituto de Salud Carlos III (ISCIII) and FEDER. CRF is a pre-doctoral research scholar funded by ISCIII and FEDER (Exp.18/00188). OG, MAGG, and RG are members of RETICS Programme, RD16/0012/0014 (RIER: Red de Investigación en Inflamación y Enfermedades Reumáticas) via Instituto de Salud Carlos III (ISCIII) and FEDER. FL is a member of CIBERCV (Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares). The work of OG and JP (PI17/00409), RG (PI16/01870 and CP15/00007) and FL (PI15/00681 PI18/00821 and CB16/11/00226) were funded by Instituto de Salud Carlos III and FEDER. OG is a beneficiary of a project funded by Research Executive Agency of the European Union in the framework of MSCA-RISE Action of the H2020 Programme (Project number 734899). RG is beneficiary of a project funded by Mutua Madrileña 2018. AM wishes to acknowledge financial support from the European Structural and Social Funds through the Research Council of Lithuania (Lietuvos Mokslo Taryba) according to the activity 'Improvement of researchers' qualification by implementing world-class R&D projects' of Measure No. 09.3.3-LMT-K-712 (grant application code: 09.3.3-LMT-K-712-01-0157, agreement No. DOTSUT-215) and the new funding programme: Attracting Foreign Researchers for Research Implementation (2018–2022). The funders had no role in study design, data collection, and analysis, decision to publish, or preparation of the manuscript.

Objective: Neck circumference (NC) is a novel tool for diagnosing cardiometabolic disorders. We aimed to determine the NC cut-off for obesity and metabolic syndrome (MS) prediction in Nigeria.Methods: The current study was based on data analysis of 557 staff and students of Ekiti State University/Ekiti State University Teaching Hospital, Ado-Ekiti, Nigeria, who took part in a cross-sectional health screen­ing (August-December 2018). Body mass index (BMI), waist circumference (WC), WHpR (waist-to-hip ratio), WHtR (waist-to-height ratio), systolic and diastolic blood pressure (SBP, DBP) values were determined by standard protocol. Fasting glucose and lipid profile were assayed for, and MS was defined by the harmonized criteria. The predictive ability of NC to identify people with obesity and MS was determined with receiver operating characteristic (ROC) curves.Results: In both men and women, NC had positive correlation (P<.001) with age, weight, BMI, WC, WHpR, WHtR, SBP and DBP. In men and women, the AUC of NC for all the anthropometric indices were sig­nificant (P<.0001). In men, the NC cut-off was 37cm for WHpR, 37.5cm for both BMI and WHtR, 38.3cm for WC, and 40.0cm for MS. In women, the NC cut-off for all the anthropometric indices (except WHpR) and MS was 33cm. In men, NC was as good as other obesity indices in predicting MS (P>.05 for differences in the AUC), but was inferior to BMI, WC and WHtR in women.Conclusion: NC correlates with indices of adiposity and can serve as an alternate index for obesity and MS detection in Nigerians Ethn Dis. 2021;31(4):501-508; doi:10.18865/ed.31.4.501

Introduction. At the end of 2019, China was hit by adisease with pandemic potential. It was anew coronavirus, also called COVID-19 (coronavirus disease). In March 2020, the World Health Organization (WHO) declared the situation apandemic. Those most at risk were people with metabolic syndrome, men- tally ill and the elderly. Metabolic syndrome (MetS) and its components have become amonitored issue in the context of mental illnesses. The COVID-19 pandemic, metabolic syn- drome, and mental health have become interrelated. The num- ber of mental illnesses has grown exponentially around the world, having affected several age groups. Methodology. Asearch and selection of articles from the on- line scientific database WOS through bibliometric analysis, using the keywords "COVID-19", "metabolic syndrome","mental illnesses" in the period from 2020 to 2021 to present the relationships between metabolic syndrome and mental ill- nesses during the COVID - 19 pandemic. Conclusion. In the area of publications, the issue of depression during the COVID - 19 pandemic was the most watched topic. Ahigher incidence of metabolic syndrome or its components has been reported in patients suffering from mental illnesses.