scholarly journals Prevalence of Metabolic Syndrome and Framingham Risk Score in Apparently Healthy Vegetarian and Omnivorous Men

2018 ◽  
Author(s):  
Julio Cesar Acosta Navarro ◽  
Luiza Antoniazzi ◽  
Adriana Midori Oki ◽  
Maria Carlos Bonfim ◽  
Valeria Hong ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Risk Score ◽  
Framingham Risk Score ◽  
Framingham Risk ◽  
Apparently Healthy

scholarly journals Hemoglobin A1c Is Positively Correlated with Framingham Risk Score in Older, Apparently Healthy Nondiabetic Korean Adults

2013 ◽  
Vol 28 (2) ◽  
pp. 103 ◽  
Author(s):  
Ji Hye Shin ◽  
Ji In Kang ◽  
Yun Jung ◽  
Young Min Choi ◽  
Hyun Jung Park ◽  
...  
Keyword(s):  
Risk Score ◽  
Framingham Risk Score ◽  
Hemoglobin A1c ◽  
Korean Adults ◽  
Framingham Risk ◽  
Apparently Healthy

scholarly journals Association between Framingham risk score and metabolic syndrome in elderly

2016 ◽  
Vol 13 (2) ◽  
Author(s):  
Juliana Mezzomo ◽  
Bruna Cocco Pilar ◽  
Patrícia Maurer ◽  
Vanusa Manfredini ◽  
Graziela Morgana Silva Tavares ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Logistic Regression ◽  
Cardiovascular Risk ◽  
Risk Score ◽  
Framingham Risk Score ◽  
The Elderly ◽  
Abdominal Adiposity ◽  
Chi Square ◽  
Glucose Levels ◽  
Framingham Risk

Metabolic syndrome is a set of factors that can increase the mortality from cardiovascular disease. Thus, knowledge about the prevalence of MS in the elderly is important, since the risk factors tend to increase significantly with age. The aim of this study is analyze the prevalence of metabolic syndrome (MS) among elderly according to the IDF and NCEP criteria and determining its relation to Framingham Risk Score (FRS). Elderly people (60 years old or older) of both genders participated in the study. Volunteers signed a TCLE and were interviewed, as well as physical exams. The biochemical analyzis were performed on an automated analyzer LABTEST, LabMax 240 model with biochemical reagents Labtest brand. For the diagnosis of MS NCEP and IDF criteria were used and cardiovascular risk was estimated by calculating the FRS. Descriptive statistics were performed, chi-square test for ordinal variables and ANOVA or Student-t test for quantitative data. Multivariate analysis was performed by logistic regression (backward conditional method). Differences were considered statistically significant at p ≤ 0.05. The overall prevalence of MS found in the sample following the NCEP and IDF criteria was 55.8% and 60.8%, respectively. No associations were found between gender and diagnostic criteria. Individuals with high+moderate FRS had a higher risk of developing MS compared to those with low FRS. Logistic regression analysis showed an independent association of abdominal adiposity by the IDF criteria (OR 4.8, CI 1.0- 22.1; p = 0.04) and glycemia by NCEP criteria (OR 3.0, CI 1.1-8.4; p = 0.03) with moderate+high FRS. The prevalence of MS was high under both criteria, being more predominant in those patients with moderate+high FRS. Thus, the components of MS abdominal adiposity and glucose levels were associated with increased CRF, indicating that the control of these factors can be decisive in reducing cardiovascular risk in the elderly.

scholarly journals Prospective Evaluation of Cardiovascular, Cardiorespiratory, and Metabolic Risk of German Office Workers in Comparison to International Data

2020 ◽  
Vol 17 (5) ◽  
pp. 1590 ◽  
Author(s):  
Markus Strauss ◽  
Peter Foshag ◽  
Roman Leischik
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Cardiovascular Risk ◽  
Waist Circumference ◽  
Risk Score ◽  
Framingham Risk Score ◽  
Office Workers ◽  
Metabolic Risk ◽  
High Tendency ◽  
Framingham Risk

Background: Employment in the administrative sector is characterized by prolonged sedentary work, which has been tied to increased morbidity and compromised health. The aim of this study was to determine cardiovascular, cardiorespiratory and metabolic risk parameters of German office workers (OWs) in comparison to OWs from other nations. Material and Methods: A total of 46 male office workers from the North Rhine-Westphalia region (Germany) participated in the survey. Anthropometric measurements, cardiovascular and metabolic risk factors, as well as laboratory parameters were taken. The 10-year cardiovascular risk was calculated by using the Framingham risk score. The diagnosis of metabolic syndrome was based on the criteria of the International Diabetes Federation. Cardiorespiratory status was assessed by exercise spirometry. Results: The analyzed group of OWs demonstrated a high prevalence of preobesity (Body Mass Index 26.4 ± 4 and waist circumference 97.3 ± 11.7 cm) and 58.7% of the OWs showed an abnormally large waist circumference. Cardiovascular risk was correspondingly elevated as compared with other international studies (9.7% ± 9.2%). High risk cardiovascular profiles were detected in 10.7% of the participants and 33% of the OWs in our study group were diagnosed with metabolic syndrome. The oxygen uptake of the OWs was 34.1 ± 8.1 mL/kg−1·min−1. Conclusions: The German OWs show elevated cardiovascular risk assessed using the Framingham risk score and also a high tendency for metabolic syndrome. The OWs need to be made further aware of the cardiovascular risk and resulting health implications. Implementation of health promotion concepts such as corporate sports activities or nutrition courses should be taken into consideration to counteract cardiovascular risk factors and the subsequent development of cardiovascular disease in later life.

Comparison of pooled cohort risk equations and Framingham risk score for metabolic syndrome in a Korean community-based population

2014 ◽  
Vol 176 (3) ◽  
pp. 1154-1155 ◽  
Author(s):  
Jaewon Oh ◽  
Seok-Min Kang ◽  
Namki Hong ◽  
Jong-Chan Youn ◽  
Sungha Park ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Risk Score ◽  
Framingham Risk Score ◽  
Community Based ◽  
Framingham Risk

Effects of nutraceuticals on prevalence of metabolic syndrome and on calculated Framingham Risk Score in individuals with dyslipidemia

2010 ◽  
Vol 28 (7) ◽  
pp. 1482-1487 ◽  
Author(s):  
Raffaele Izzo ◽  
Giovanni de Simone ◽  
Renata Giudice ◽  
Marcello Chinali ◽  
Valentina Trimarco ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Risk Score ◽  
Framingham Risk Score ◽  
Framingham Risk
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