Objective: The aim of this study was to determine the association between metabolic syndrome (MetS) and demographic, health, and lifestyle characteristics in a sample of women living in Puerto Rico.
Methods: The study group consisted of 214 women aged 36 to 82 years, residing in the metropolitan area of San Juan, Puerto Rico. Demographic, reproductive, lifestyle, and metabolic variables were assessed through an annual questionnaire and blood chemistries. MetS was defined according to the criteria set by the National Cholesterol Education Program Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults/Adult Treatment Panel III (NCEP/ATP III) and the International Diabetes Federation (IDF).
Results: The overall prevalence of MetS was 24% according to NCEP/ATP III criteria and 33% according to IDF criteria. When using the IDF criteria, 37% of participants older than 51 years have MetS, in contrast to 28% when using the NCEP/ATP III criteria. Obese women have an increased probability of MetS when adjusting for age, education level, menopause status, and/or alcohol use (IDF criteria: estimated odds ratio [OR], 2.68; 95% CI, 1.44-4.97; NCEP/ATP III criteria: estimated OR, 3.42; 95% CI, 1.71-6.84). A higher education level (estimated OR, 0.45; 95% CI, 0.23-0.92 [IDF criteria]) and alcohol consumption (estimated OR, 0.48; 95% CI, 0.23-0.99 [NCEP/ATP III criteria]) seem to provide a protective effect, when adjusting for confounders.
Conclusions: Our study confirms obesity as an important risk factor associated with MetS in this sample of women in Puerto Rico. Alcohol consumption and a higher education level seem to decrease the prevalence of MetS. In view of this, patient counseling regarding weight reduction and lifestyle modification should be emphasized in the primary prevention and management of MetS. Additional studies are warranted to further characterize the effect of menopause status on MetS.
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http://dx.doi.org/10.1097/gme.0b013e3181bd5393 | DOI Listing |
J Affect Disord
January 2025
Department of Anesthesiology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Ambulatory Surgery Center, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China. Electronic address:
Background: Individuals with metabolic syndrome (MetS) are at a higher risk of developing depressive symptoms, with inflammation hypothesized to mediate this association. This study used data from the National Health and Nutrition Examination Survey (NHANES) (2015-2020) to investigate the relationship between MetS and depression and assess the mediating role of inflammatory markers.
Methods: This cross-sectional study included 20,520 participants.
Metabolites
January 2025
Department of Laboratory Medicine, Konkuk University School of Medicine, Seoul 05030, Republic of Korea.
: The currently established equations for calculating low-density lipoprotein cholesterol (LDLc) do not reflect the sex-specific differences in lipid metabolism. We aimed to develop a sex-specific LDLc equation (SSLE) and validate it with three established equations (Friedewald, Sampson-NIH, and ext-Martin-Hopkins) against direct LDLc measurement in Korean adults. This study included 23,757 subjects (51% male; median age, 51 years) from the 2009-2022 Korean National Health and Nutrition Examination Survey.
View Article and Find Full Text PDFBackground: 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.
Indian J Psychol Med
January 2025
Dept. of Psychiatry, Aarupadai Veedu Medical College, Vinayaka Mission's Research Foundation (VMRF-DU), Puducherry, India.
Background: Depression not only fosters the development of metabolic syndrome through behavioral, physiological, genetic, and treatment-related factors, but it also doubles the risk of experiencing metabolic syndrome. The objectives were to assess the sociodemographic and clinical profile of patients with depressive disorder, to assess the various metabolic parameters of metabolic syndrome in patients with depressive disorder, and to study the association between the severity of depression and metabolic syndrome.
Methods: A cross-sectional study was conducted among patients diagnosed with depression (n = 160) attending the Psychiatry outpatient department of a tertiary healthcare facility in Puducherry.
BMC Public Health
January 2025
Department of Medical Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, P.O. BOX 196, Gondar City, Ethiopia.
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