SP33 Type D Personality as an Independent Predictor of the Metabolic Syndrome

2009 ◽  
Vol 8 (1_suppl) ◽  
pp. S45-S45
Author(s):  
D. Tziallas ◽  
M.S. Kostapanos ◽  
K. Kastanioti ◽  
H.J. Milionis ◽  
G. Liamis ◽  
...  
2011 ◽  
Vol 4 (1) ◽  
Author(s):  
Dimitrios Tziallas ◽  
Michael S Kostapanos ◽  
Petros Skapinakis ◽  
Haralampos J Milionis ◽  
Thanos Athanasiou ◽  
...  

2011 ◽  
Vol 71 (5) ◽  
pp. 357-363 ◽  
Author(s):  
Paula M.C. Mommersteeg ◽  
Raphael Herr ◽  
Jos Bosch ◽  
Joachim E. Fischer ◽  
Adrian Loerbroks

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Susa Majaluoma ◽  
Tellervo Seppälä ◽  
Hannu Kautiainen ◽  
Päivi Korhonen

Abstract Background Type D personality is a combination of high negative affectivity (NA) and high social inhibition (SI). This personality trait is suspected to impair cardiovascular patients’ recovery. The 2016 European Guidelines on cardiovascular disease prevention in clinical practice recommend screening of psychosocial risk factors as Type D personality. The aim of this study was to assess the relationship between Type D personality and Metabolic syndrome (MetS) in working-age female population. Methods Six hundred thirty-four female employees with mean age of 48 ± 10 years were evaluated. Type D personality and its components (NA) and (SI) were screened with DS14 questionnaire. The definition of MetS was based on measurements done by trained medical staff. We investigated the relationship between Mets and Type D personality, NA and SI using the logistic regression models adjusting for age, education years, leisure-time physical activity, smoking, alcohol use and depressive symptoms. Results The prevalence of Type D personality was 10.6% (n = 67) [95% CI: 8.3 to 13.2] and MetS 34.7% (n = 220). Type D personality or its subcomponents were not associated with MetS. Women with Type D personality had significantly worse quality of sleep and lower LTPA. They were also more often unsatisfied with their economic situation, they had more often depressive symptoms and psychiatric disorders than non-D type persons. There were no differences in risk factors for cardiovascular diseases. Conclusion Screening for Type D personality among working- age, reasonably healthy female population seems not to be practical method for finding persons with risk for cardiovascular disease.


Metabolism ◽  
2010 ◽  
Vol 59 (6) ◽  
pp. 848-853 ◽  
Author(s):  
Fone-Ching Hsiao ◽  
Chung-Ze Wu ◽  
Sheng-Chiang Su ◽  
Ming-Tsung Sun ◽  
Chang-Hsun Hsieh ◽  
...  

2018 ◽  
Vol 25 (8) ◽  
pp. 830-838 ◽  
Author(s):  
Ilaria Cavallari ◽  
Christopher P Cannon ◽  
Eugene Braunwald ◽  
Erica L Goodrich ◽  
KyungAh Im ◽  
...  

Background The incremental prognostic value of assessing the metabolic syndrome has been disputed. Little is known regarding its prognostic value in patients after an acute coronary syndrome. Design and methods The presence of metabolic syndrome (2005 International Diabetes Federation) was assessed at baseline in SOLID-TIMI 52, a trial of patients within 30 days of acute coronary syndrome (median follow-up 2.5 years). The primary endpoint was major coronary events (coronary heart disease death, myocardial infarction or urgent coronary revascularization). Results At baseline, 61.6% ( n = 7537) of patients met the definition of metabolic syndrome, 34.7% (n = 4247) had diabetes and 29.3% had both ( n = 3584). The presence of metabolic syndrome was associated with increased risk of major coronary events (adjusted hazard ratio (adjHR) 1.29, p < 0.0001) and recurrent myocardial infarction (adjHR 1.30, p < 0.0001). Of the individual components of the definition, only diabetes (adjHR 1.48, p < 0.0001) or impaired fasting glucose (adjHR 1.21, p = 0.002) and hypertension (adjHR 1.46, p < 0.0001) were associated with the risk of major coronary events. In patients without diabetes, metabolic syndrome was numerically but not significantly associated with the risk of major coronary events (adjHR 1.13, p = 0.06). Conversely, diabetes was a strong independent predictor of major coronary events in the absence of metabolic syndrome (adjHR 1.57, p < 0.0001). The presence of both diabetes and metabolic syndrome identified patients at highest risk of adverse outcomes but the incremental value of metabolic syndrome was not significant relative to diabetes alone (adjHR 1.07, p = 0.54). Conclusions After acute coronary syndrome, diabetes is a strong and independent predictor of adverse outcomes. Assessment of the metabolic syndrome provides only marginal incremental value once the presence or absence of diabetes is established.


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