The site of the Media Sphera Publishers contains materials intended solely for healthcare professionals.
By closing this message, you confirm that you are a certified medical professional or a student of a medical educational institution.

Shalnova S.A.

National Medical Research Center for Preventive Medicine, Moscow, Russia

Kontsevaia A.V.

Gosudarstvennyĭ nauchno-issledovatel'skiĭ tsentr profilakticheskoĭ meditsiny, Moskva

Karpov Iu.A.

Laboratoriia molekuliarnoĭ i kletochnoĭ kardiologii i otdel angiologii Rossiĭskogo kardiologicheskogo nauchno-proizvodstvennogo kompleksa Minzdravsotsrazvitiia Rossii

Meshkov A.N.

The national medical research center of preventive, Petroverigsky lane 10 page 3, Moscow, 101990

Boytsov S.A.

National Research Centre for Preventive Medicine, Moscow, Russia

Epidemiological monitoring as a tool for planning programs for the prevention of chronic noncommunicable diseases and their risk factors

Authors:

Shalnova S.A., Kontsevaia A.V., Karpov Iu.A., Meshkov A.N., Boytsov S.A.

More about the authors

Journal: Russian Journal of Preventive Medicine. 2012;15(6): 64‑68

Read: 4271 times


To cite this article:

Shalnova SA, Kontsevaia AV, Karpov IuA, Meshkov AN, Boytsov SA. Epidemiological monitoring as a tool for planning programs for the prevention of chronic noncommunicable diseases and their risk factors. Russian Journal of Preventive Medicine. 2012;15(6):64‑68. (In Russ.)

Recommended articles:
Analysis of medi­cal preventive stru­ctures staff resources in 2023. Russian Journal of Preventive Medi­cine. 2024;(10):45-51
Features of como­rbidity pathology in young people. Russian Journal of Preventive Medi­cine. 2024;(11):63-69
Study of opinions of medi­cal students on medi­cal prevention issues. Russian Journal of Preventive Medi­cine. 2024;(12):69-74
Risk factors asso­ciated with myopic macu­lopathy in acquired myopia. Russian Annals of Ophthalmology. 2024;(5):35-45
Comparison of models for prediction of spontaneous preterm birth. Medi­cal Technologies. Asse­ssment and Choice. 2024;(4):10-19

References:

  1. Kannel W.B., Dawber T.R., Kagan A., Revotskie N., Stokes J. Factors of risks in the development of coronary heart disease - six year follow-up experience: the Framingham Study. Ann Intern Med 1961; 55: 33-50.
  2. Haveman-Nies A., Jansen S.C., Oers J.A., van Veer P. Epidemiology in public health practice. Wageningen: Wageningen Academic Publisher 2010; 83-96.
  3. Oganov R.G., Timofeeva T.N., Koltunov I.E., Konstantinov V.V., Balanova Yu.A., Kapustina A.V., Lel'chuk I.N., Shal'nova S.A., Deev A.D. Epidemiologiya arterial'noi gipertonii v Rossii. Rezul'taty federal'nogo monitoringa 2003-2010 gg. Kardiovask ter i prof 2011; 10: 1: 8-12.
  4. Shal'nova S.A. Faktory riska serdechno-sosudistykh zabolevanii i pokazateli prodolzhitel'nosti zhizni naseleniya Rossii (po rezul'tatam obsledovaniya natsional'noi predstavitel'noi vyborki): Avtoref. dis. … d-ra med. nauk. M 1999; 190.
  5. Yusuf S., Hawken S., Ounpuu S., Dans T., Avezum A., Lanas F., McQueen M., Budaj A., Pais P., Varigos J., Lisheng L. INTERHEART Study Investigators. Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study. Lancet 2004; 364: 9438: 937-952.
  6. Anderson K.M., Wilson P.W., Odell P.M., Kannel W.B. An updated coronary risk profile. A statement for health professionals. Circulation 1991; 83: 356-362.
  7. Jackson P.R. Updated New Zealand cardiovascular disease risk-benefit prediction guide. BMJ 2000; 320: 709-710.
  8. Menotti A., Puddu P.E., Lanti M. Comparison of the Framingham risk function-based coronary chart with risk function from an Italian population study. Eur Heart J 2000; 21: 365-370.
  9. Marrugat J., D'Agostino R., Sullivan L., Elosua R., Wilson P., Ordovas J., Solanas P., Cordón F., Ramos R., Sala J., Masiá R., Kannel W.B. An adaptation of the Framingham coronary heart disease risk function to European Mediterranean areas. J Epidemiol Comm Health 2003; 57: 634-638.
  10. Hense H.W., Schulte H., Lowel H., Assmann G., Keil U. Framingham risk function overestimates risk of coronary heart disease in men and women from Germany - results from MONICA Augsburg and the PROCAM cohorts. Eur Heart J 2003; 3: 1-9.
  11. Thomsen T.F., McGee D., Davidsen M., Jorgensen T. A cross-validation of risk-scores for coronary heart disease mortality based on data from the Glostrup Population Studies and Framingham Heart Study. Int J Epidemiol 2002; 31: 817-822.
  12. Brindle P., Emberson J., Lampe F., Walker M., Whincup P., Fahey T., Ebrahim S. Predictive accuracy of the Framingham coronary risk score in British men: prospective cohort study. BMJ 2003; 327: 1267-1270.
  13. Conroy R.M., Pyorala K., Fitzgerald A.P., Sans S., Menotti A., De Backer G., De Bacquer D., Ducimetière P., Jousilahti P., Keil U., Njolstad I., Oganov R.G., Thomsen T., Tunstall-Pedoe H., Tverdal A., Wedel H., Whincup P., Wilhelmsen L., Graham I.M. SCORE project group. Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project. Eur Heart J 2003; 24: 987-1003.
  14. Shal'nova S.A., Oganov R.G., Deev A.D. Otsenka i upravlenie summarnym riskom serdechno-sosudistykh zabolevanii dlya naseleniya Rossii. Kardiovask ter i prof 2004; 4: 4-11.
  15. Ridker P.M., Paynter N.P., Rafai N. C-reactive protein and parental history improve global cardiovascular risk prediction. Circulation 2008; 118: 2243-2251.
  16. Assmann G., Schulte H., Cullen P. New and classical risk factors - the Münster heart study (PROCAM). Eur J Med Res 1997; 2: 6: 237-242.
  17. Gianfagna F., Cugino D., Santimone I., Iacoviello L. From candidate gene to genome-wide association studies in cardiovascular disease. Thromb Res 2012; 129: 3: 320-324.
  18. Psaty B.M., Arnett D., Burke G. A new era of cardiovascular disease epidemiology. JAMA 2007; 298: 17: 2060-2062.
  19. Shal'nova S.A., Konradi A.O., Karpov Yu.A., Kontsevaya A.V., Shlyakhto E.V., Boitsov S.A. Analiz smertnosti ot serdechno-sosudistykh zabolevanii v 12 regionakh Rossiiskoi Federatsii, uchastvuyushchikh v issledovanii "Epidemiologiya serdechno-sosudistykh zabolevanii v razlichnykh regionakh Rossii". Ros kardiol zhurn 2012; 5: 97: 6-11.
  20. Maaten S., Kephart G., Kirkland S., Andreou P. Chronic disease risk factors associated with health service use in the elderly. BMC Health Serv Res 2008; 8: 237-241.
  21. Izumi Y., Tsuji I., Ohkubo T., Kuwahara A., Nishino Y., Hisamichi S. Impact of smoking habit on medical care use and its costs: a prospective observation of National Health Insurance beneficiaries in Japan. Int J Epidemiol 2001; 30: 616-621.
  22. Bonita R., de Kuerten M., Duaier T., Yamrozhik K., Vinkel'man R. Monitoring faktorov riska neinfektsionnykh zabolevanii. Printsip poetapnoi realizatsii, predlozhennyi VOZ. Kratkii obzor. Zheneva (VOZ) 2001.

Email Confirmation

An email was sent to test@gmail.com with a confirmation link. Follow the link from the letter to complete the registration on the site.

Email Confirmation

We use cооkies to improve the performance of the site. By staying on our site, you agree to the terms of use of cооkies. To view our Privacy and Cookie Policy, please. click here.