| 11. |
- Hicks, B., et al.
(författare)
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Differential susceptibility to allostatic load and educational inequalities in coronary heart disease
- 2020
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Ingår i: European Journal of Public Health. - : Oxford University Press. - 1101-1262 .- 1464-360X. ; 30, s. V73-V73
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Background: Differential exposure to lifestyle factors may mediate the association between education and cardiovascular disease (CVD). However, differential susceptibility (the effect of exposure to the same “dose” of risk factors differs across groups) may also elevate CVD risk but the causal pathways remain unclear. Allostatic Load (AL) is a marker of cumulative biological burden resulting from mal-adaptation to chronic stressors. We aimed to examine the role of differential exposure and susceptibility to AL and other factors in coronary heart disease (CHD) educational gradients in Europe.Methods: 51,328 35-74-year-old participants originally free of CVD from 21 European cohorts in the BiomarCaRE consortium were identified and followed for a median of 10 years to their first CHD event. We defined an AL score as the sum of z-scores of 8 markers from the cardiovascular, metabolic, and inflammatory systems. To investigate the mediating role of AL (and smoking, alcohol and BMI) on educational differences in CHD incidence we applied marginal structural models and three-way decomposition on gender-specific additive hazards models.Results: AL was a significant mediator of the association between educational status and CHD. The highest proportion mediated was observed in women, with 28% (95%CI 20% to 44%) attributable to differential exposure and 8% (95%CI 0% to 16%) to differential susceptibility. In men, AL mediated 16% of the increased CHD risk in the less educated, with 2% (95%CI 0%-6%) attributable to differential susceptibility. The effects of smoking, alcohol and BMI were relatively small for men and women, with a limited role of differential susceptibility.Conclusions: While we found evidence of differential susceptibility to AL on CHD, effects were modest and the mediating effect of AL (and other lifestyle factors) was predominately via differential exposure. Controlling disproportionate exposure to AL may help reduce CHD morbidity among those with lower education.
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| 12. |
- Kornitzer, M., et al.
(författare)
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Job stress and major coronary events: results from the Job Stress, Absenteeism and Coronary Heart Disease in Europe study
- 2006
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Ingår i: Eur J Cardiovasc Prev Rehabil. - : Oxford University Press (OUP). - 1741-8267 .- 1741-8275. ; 13:5, s. 695-704
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Tidskriftsartikel (refereegranskat)abstract
- AIMS: The intention of this study is to investigate the relationship of the demands/control/strain model with hard coronary events in an epidemiological, prospective, multicenter, European study. METHODS AND RESULTS: Six cohorts (Brussels, Ghent, Lille, Barcelona, Goteborg and Malmo) from four European countries (Belgium, France, Spain and Sweden) consisting of 21 111 middle-aged male subjects participated between 1993 and 1996 in the baseline survey of the Job Stress, Absenteeism and Coronary Heart Disease in Europe (JACE) study. The Karasek strain model of psychological demands (five items)/control (nine items) was used. During a mean follow-up of 40 months 185 acute coronary events or coronary deaths were observed. Age-adjusted hazard ratios (HRs) for developing an acute coronary event were 1.46 [CI 95% confidence interval (1.08-1.97)] for high against low psychological demands and 1.53 (95% CI 1.0-2.35) for strained (high demands plus low control) against relaxed (low demands plus high control) groups. After adjustment for standard cardiovascular risk factors the HR for developing a coronary event for those above or equal to the median against those below the median of psychological demands was 1.46 (95% CI 1.08-1.97) whereas the HR for strained against relaxed groups is 1.46 (95% CI 0.96-2.25). Sensitivity analyses confirmed the robustness of the results. CONCLUSION: In this European, multicenter, prospective, epidemiological study the Karasek job strain model was an independent predictor of acute coronary events, with the psychological demands scale emerging as the important component.
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| 13. |
- Kristensen, A., et al.
(författare)
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Simple cardiovascular risk stratification using anthropometric measures instead of serum cholesterol. The MORGAM Prospective Cohort Project
- 2020
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Ingår i: European Heart Journal. - : Oxford University Press. - 0195-668X .- 1522-9645. ; 41:Suppl 2, s. 2913-2913
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Background: Body composition predicts cardiovascular outcomes, but it is uncertain whether anthropometric measures can replace the more expensive serum total cholesterol for cardiovascular risk stratification in low resource settings.Purpose: The purpose of the study was to compare the additive prognostic ability of serum total cholesterol with that of body mass index (BMI), waist/hip ratio (WHR), and estimated fat mass (EFM, calculated using a validated prediction equation), individually and combined.Methods: We used data from the MORGAM (MONICA, Risk, Genetics, Archiving, and Monograph) Prospective Cohort Project, an international pooling of cardiovascular cohorts, to determine the relationship between anthropometric measures, serum cholesterol, and cardiovascular events, using multivariable Cox proportional-hazards regression analysis. We further investigated the ability of these measures to enhance prognostication beyond a simpler prediction model, consisting of age, sex, smoking status, systolic blood pressures, and country, using comparison of area under the receiver operating characteristics curve (AUCROC) derived from binary logistic regression models. The primary endpoint was major adverse cardiovascular events (MACE), defined as a composite of death from coronary heart disease, myocardial infarction, or stroke.Results: The study population consisted of 52,188 apparently healthy subjects (56.3% men) aged 47±12 years ranging from 20 to 84, derived from 37 European cohorts, with baseline between 1982–2002 all followed for 10 years during which MACE occurred in 2465 (4.7%) subjects. All anthropometric measures (BMI: hazard ratio (HR) 1.04 [95% confidence interval (CI): 1.03–1.05] per kg/m2; WHR: HR 7.5 [4.0–14.0] per unit; EFM: HR 1.02 [1.01–1.02] per kg) as well as serum total cholesterol (HR 1.20 [1.16–1.24] per mmol/l) were significantly associated with MACE (P<0.001 for all), independently of age, sex, smoking status, systolic blood pressures, and country. The addition of serum cholesterol significantly improved the predictive ability of the simple model (AUCROC 0.818 vs. 0.814, P<0.001), as did the combination of WHR, BMI, and EFM (AUCROC 0.817 vs. 0.814, P=0.004). When assessed individually, BMI (AUCROC 0.816 vs. 0.814, P=0.004) and WHR (AUCROC 0.815 vs. 0.814, P=0.02) improved model performance, while EFM narrowly missed significance (AUCROC 0.815 vs. 0.814, P=0.06). There was no significant difference in the predictive ability of a model including serum cholesterol versus that including all three anthropometric measures (AUCROC 0.818 vs. 0.817, P=0.13). The figure shows the pertinent areas under the ROC curve in predicting MACE.Conclusion: In this large population-based cohort study, the addition of a combination of anthropometric measures, i.e. BMI, WHR, and EFM, raised the predictive ability of a simple prognostic model comparable to that obtained by the addition of serum total cholesterol.
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| 14. |
- Baroffio, L., et al.
(författare)
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GreenEyes : Networked energy-aware visual analysis
- 2015
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Ingår i: 2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015. - : IEEE conference proceedings. - 9781479970797
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Konferensbidrag (refereegranskat)abstract
- The GreenEyes project aims at developing a comprehensive set of new methodologies, practical algorithms and protocols, to empower wireless sensor networks with vision capabilities. The key tenet of this research is that most visual analysis tasks can be carried out based on a succinct representation of the image, which entails both global and local features, while it disregards the underlying pixel-level representation. Specifically, GreenEyes will pursue the following goals: i) energy-constrained extraction of visual features; ii) rate-efficiency modelling and coding of visual feature; iii) networking streams of visual features. This will have a significant impact on several scenarios including, e.g., smart cities and environmental monitoring.
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| 15. |
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| 16. |
- Rosberg, Victoria, et al.
(författare)
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Simple cardiovascular risk stratification by replacing total serum cholesterol with anthropometric measures : The MORGAM prospective cohort project
- 2022
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Ingår i: Preventive Medicine Reports. - : Elsevier. - 2211-3355. ; 26
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Tidskriftsartikel (refereegranskat)abstract
- To assess whether anthropometric measures (body mass index [BMI], waist-hip ratio [WHR], and estimated fat mass [EFM]) are independently associated with major adverse cardiovascular events (MACE), and to assess their added prognostic value compared with serum total-cholesterol. The study population comprised 109,509 individuals (53% men) from the MORGAM-Project, aged 19–97 years, without established cardiovascular disease, and not on antihypertensive treatment. While BMI was reported in all, WHR and EFM were reported in ∼52,000 participants. Prognostic importance of anthropometric measurements and total-cholesterol was evaluated using adjusted Cox proportional-hazards regression, logistic regression, area under the receiver-operating-characteristic curve (AUCROC), and net reclassification improvement (NRI). The primary endpoint was MACE, a composite of stroke, myocardial infarction, or death from coronary heart disease. Age interacted significantly with anthropometric measures and total-cholesterol on MACE (P ≤ 0.003), and therefore age-stratified analyses (<50 versus ≥ 50 years) were performed. BMI, WHR, EFM, and total-cholesterol were independently associated with MACE (P ≤ 0.003) and resulted in significantly positive NRI when added to age, sex, smoking status, and systolic blood pressure. Only total-cholesterol increased discrimination ability (AUCROC difference; P < 0.001). In subjects < 50 years, the prediction model with total-cholesterol was superior to the model including BMI, but not superior to models containing WHR or EFM, while in those ≥ 50 years, the model with total-cholesterol was superior to all models containing anthropometric variables, whether assessed individually or combined. We found a potential role for replacing total-cholesterol with anthropometric measures for MACE-prediction among individuals < 50 years when laboratory measurements are unavailable, but not among those ≥ 50 years.
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| 17. |
- Vishram-Nielsen, Julie K. K., et al.
(författare)
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Does Estimated Pulse Wave Velocity Add Prognostic Information? : MORGAM Prospective Cohort Project
- 2020
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Ingår i: Hypertension. - : Lippincott Williams & Wilkins. - 0194-911X .- 1524-4563. ; 75:6, s. 1420-1428
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Tidskriftsartikel (refereegranskat)abstract
- The Reference Values for Arterial Stiffness Collaboration has derived an equation using age and mean blood pressure to estimated pulse wave velocity (ePWV), which predicted cardiovascular events independently of Systematic COoronary Risk Evaluation (SCORE) and Framingham Risk Score. The study aim was to investigate the independent association between ePWV and clinical outcomes in 107 599 apparently healthy subjects (53% men) aged 19 to 97 years from the MORGAM Project who were included between 1982 and 2002 in 38 cohorts from 11 countries. Using multiple Cox-regression analyses, the predictive value of ePWV was calculated adjusting for country of inclusion and either SCORE, Framingham Risk Score, or traditional cardiovascular risk factors (age, sex, smoking, systolic blood pressure, body mass index [BMI], total and high-density lipoprotein cholesterol). Cardiovascular mortality consisted of fatal stroke, fatal myocardial infarction, or coronary death, and the composite cardiovascular end point consisted of stroke, myocardial infarction, or coronary death. Model discrimination was assessed using Harrell's C-statistic. Adjusting for country and logSCORE or Framingham Risk Score, ePWV was associated with all-cause mortality (hazard ratio, 1.23 [95% CI 1.20-1.25] per m/s or 1.32 [1.29-1.34]), cardiovascular mortality (1.26 [1.21-1.32] or 1.35 [1.31-1.40]), and composite cardiovascular end point (1.19 [1.16-1.22] or 1.23 [1.20-1.25]; all P<0.001). However, after adjusting for traditional cardiovascular risk factors, ePWV was only associated with all-cause mortality (1.15 [1.08-1.22], P<0.001) and not with cardiovascular mortality (0.97 [0.91-1.03]) nor composite cardiovascular end point (1.10 [0.97-1.26]). The areas under the last 3 receiver operator characteristic curves remained unchanged when adding ePWV. Elevated ePWV was associated with subsequent mortality and cardiovascular morbidity independently of systematic coronary risk evaluation and Framingham Risk Score but not independently of traditional cardiovascular risk factors.
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