| 1. |
- Cooney, M T, et al.
(författare)
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HDL cholesterol protects against cardiovascular disease in both genders, at all ages and at all levels of risk.
- 2009
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Ingår i: Atherosclerosis. - : Elsevier BV. - 1879-1484 .- 0021-9150. ; 206:2, s. 611-6
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVE: We aimed to clarify some previous inconsistencies regarding the role of high density lipoprotein cholesterol (HDL-C) as a CVD protective factor. METHODS: The SCORE dataset contained data on HDL-C for 104,961 individuals (45% women) without pre-existing coronary heart disease (CHD). These were from 7 pooled European prospective studies. The effect of HDL-C, both in quintiles and as a continuous variable, on risk of CVD and CHD mortality was examined, using Cox proportional hazards model, adjusted for age, total cholesterol, systolic blood pressure, smoking, diabetes and body mass index and stratified by gender, age group, country and category of SCORE CVD risk. RESULTS: A strong, graded, independent, inverse relationship between HDL-C and both CVD and CHD mortality was demonstrated. Adjusted hazard ratios per 0.5mmol/l increase in HDL-C were 0.60 (0.51, 0.69) and 0.76 (0.70, 0.83) in women and men, respectively for the CVD mortality endpoint. The corresponding hazard ratios were 0.53 (0.42, 0.68) and 0.79 (0.64, 0.98) in elderly women and men, respectively. The relationship was significant in all SCORE CVD risk strata and age groups. CONCLUSIONS: This multivariable analysis, the largest of its kind to date, has confirmed the inverse, independent, strong and graded relationship between HDL-C and both CVD and CHD mortality. We have clarified previous suggestions that the relationship is stronger in women and that it applies in all age groups. This is the first prospective study to demonstrate the independent relationship specifically in healthy elderly women and to show that the relationship holds at all levels of total CVD risk.
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| 2. |
- de Smet, P., et al.
(författare)
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Gender and regional differences in perceived job stress across Europe
- 2005
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Ingår i: Eur J Public Health. - : Oxford University Press (OUP). - 1101-1262 .- 1464-360X. ; 15:5, s. 536-45
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Over the last 20 years stress at work has been found to be predictive of several conditions such as coronary heart disease, high blood pressure and non-specific sick leave. The Karasek demand/control/strain concept has been the most widely used in prospective epidemiological studies. OBJECTIVES: To describe distribution in Karasek's demand/control (DC) dimensions as well as prevalence of strain in samples from different parts of Europe grouped into three regions (South, Middle, Sweden), adjusting for occupation. To describe gender differences in Karasek's DC dimensions along with strain prevalence and assess the regional stability of those differences in different occupational groups. DESIGN: The Job stress, Absenteeism and Coronary heart disease in Europe (JACE) study, a Concerted Action (Biomed I) of the European Union, is a multicentre prospective cohort epidemiological study: 38,019 subjects at work aged 35-59 years were surveyed at baseline. Standardised techniques were used for occupation coding (International Standardised Classification of Occupations) and for the DC model (Karasek scale): five items for the psychological demand and nine items for the control or decision latitude dimensions, respectively. RESULTS: A total of 34,972 subjects had a complete data set. There were important regional differences in the Karasek scales and in prevalence of strain even after adjustment for occupational class. Mean demand and control were higher in the Swedish centres when compared to two centres in Milano and Barcelona (Southern region) and values observed in four centres (Ghent, Brussels, Lille and Hoofddorp) in Middle Europe were closer to those observed in the Southern cities than to those obtained in the Swedish cities. Clerks (ISCO 4) and, more specifically, office clerks (ISCO 41) exhibited the smallest regional variation. In a multivariate model, the factor 'region' explained a small fraction of total variance. In the two Southern centres as well as in the four Middle European centres, men perceived marginally less job-demand as compared to women whereas the reverse was observed in the two Swedish centres. Differences were larger for control: men appeared to perceive more control at work than did women. In a multivariate model, gender explained a small fraction whereas occupational level explained a large fraction of the variance. CONCLUSIONS: In this standardised multicentre European study Karasek's DC model showed large gender and occupational differences whereas geographic region explained a small fraction of the total DC variance, notwithstanding large differences in labour market and working conditions as pointed out by the European Commission as recently as 2000.
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