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Int. J. of epid. (IJE), Vol.36, No.4, Aug. 2007, hal. 776-786
[s.l.] : [s.n.] : s.a.]
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R. Fuhrer ... [et al.]
SSM-Vol.48/No.1
United Kingdom : Elsevier, 1999
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Anne Kouvonen ... [et al]
AJE Vol.167, No.10
Baltimore : Johns Hopkins Bloomberg School of Public Health, 2008
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Journal of Epidemiology & Community Health, Vol.55, No.5, May. 2001, hal. 301-307
[s.l.] : [s.n.] : s.a.]
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Health Affairs, Vol.26, No.4, July/ Aug 2007, hal. 1029-1039
[s.l.] : [s.n.] : s.a.]
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The Am. Jour. of Clinical Nutrition (AJCN), Vol.97, No.3, March 2013: hal. 597-603
[s.l.] : [s.n.] : s.a.]
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Workshop on evidence for health policy: burden of disease, cost-effectiveness, and health systems. (Daftar isi: 1. Compositional models for mortality by age, sex and cause, Joshua A Salomon; 2. The epidemiological transitional: policy and planning implications for developing countries, James N. Gribble; 3. Methodology for measuring health-state preferences - 1: measurement strategies, Debra G. Froberg; 4. Methodology for measuring health-State preferences - II: scaling methods, Debra G. Froberg; 5. Methodology for measuring health-State preferences - III: population and context effects, Debra G. Froberg; 5. Measurement of health state utilities for economic appraisal : a review, George W. Torrance; 7. Methods for quality adjusment of life years, Erik Nord; 8. The person-trade-off approach to valuing health care programs, Erik Nord; 9. Cost utility analysis: what should be measured?, J. Richardson; 10. Health state valuations from the general public using the visual analogue scale, C Gudex; 11. Modeling valuations for EuroQol health states, Paul Dolan; 12. Deriving preference-based single index from the UK SF-36 health survey, John Brazier; 13. Measuring preferences for health states worse than death, Donald L. Patrick; 14. Multiattribute utility function for a comprehensive health status classification system health utilities index mark 2, George W. Torrance; 15. Evaluating healthy days of life gained from health projects, Howard Barnum; 16. The utility of health at different stages in life: a quantitative approach, Jan J. V.B; 17. The economic cost of illness revisited, Barbara S. Cooper; 18. Is the valuation of a qaly gained independent of age? some empirical evidence, Magnus J; 19. Discounting in the economic evaluation of health care interventions, Murray K; 20. Maximizing health benefits vs egalitarianism: an Australian survey of health issues, Erik N; 21. Estimating the cost of illness, Dorothy P.R.; 22. Discounting in health care decision-making: time for a change ?, Trevor A. Sheldon; 23. Discounting the future: influence of the economic model, Robert R. West; 24. Penn world tables 5.6, Alan H; 25. On the comparable quantification of health risks: lessons from the global burden of disease study, Christophr J.L.M; 26. Conceptual problems in the definition and interprtation of attributable fractions, Sander G; 27. Estimability and estimation of excess and etiologic fractions, James M. Robin; 28. Reducing the global burden of blood pressure-related cardiovascular disease, Anthony R; 29. The Australian burden of disease study: measuring the loss of health from diseses, injuries and risk factors, Colin DM; 30. Mortality in relation to smoking: 40 years' observations on male British doctors, Richard D; 31. Estimated numbers of deaths from coronary heart disease "Caused" and "prevented" by alcohol: an example from Finland, Pia M; 32. Mortality from tobacco in developed countries: indirect estimation from national vital statistics, Richard P.A; 33. Intake of fatty acids and risk of coronary heart disease in a cohort of finnish men, Pirjo Pietinen; 34. Alcohol consumption and mortality among middle-aged and elderly U.S. adults, Michael J. Thun; 35. An improved aetiologic fraction of alcohol caused morbidity and mortality; 36. Dietary fat intake and the risk of coronary heart disease in women, Frank B. Hu; 37. Obesity, mortality and cardiovascular disease in the munster heart study (PROCAM), Helmut S; 38. The burden of dsease in Mexico in 1994: advances and challenges, Rafael Lozano; 39. The burden of disease and injury in Australia, Colin Mathers)
P 362.1 WOR w
[s.l.] : Geneva: WHO, 2000, s.a.]
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American J. of Epid. (AJE), Vol.168, No.12, Dec. 15, 2008, hal. 1353-1364
[s.l.] : [s.n.] : s.a.]
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Journal of Public Health, Vol.31, No.3, Sept. 2009, hal. 360-365. ( ket. ada di bendel June - Dec. 2009)
[s.l.] : [s.n.] : s.a.]
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Yun-Mi Song, Robert L. Ferrer, Sung-il Cho, Joohon Sung, Shah Ebrahim, George Davey Smith
Abstrak: Objectives: We examined the association between socioeconomic status (SES) and myocardial infarction and stroke subtypes, including the possible mediating influence of cardiovascular risk factors.

Methods: We evaluated data on 578756 Korean male public servants aged 30 to 58 years from August 1, 1990, to July 31, 2001.

Results: SES had inverse associations with mortality because of myocardial infarction and stroke subtypes, which were not changed by an adjustment for, or stratification by, cardiovascular risk factors. For nonfatal events, SES had positive, null, and inverse associations with myocardial infarction, ischemic stroke, and hemorrhagic stroke, respectively. The association between SES and nonfatal myocardial infarction depended on the presence of risk factors and was positive only among men who had cardiovascular risk factors. Case-fatality after hospital admission for cardiovascular diagnoses was significantly lower among higher SES groups, even after risk factor adjustment.

Conclusions: Inverse SES associations with cardiovascular diseases were not mediated by cardiovascular risk factors among men who were undergoing economic transition. Socioeconomically patterned access to medical care may partly explain these socioeconomic gradients.
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AJPH Vol.96, No.1
[s.l.] : [s.n.] : 2006
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