شنبه 1 دی 1403
[Archive]
دوره 29، شماره 134 - ( 2-1400 )
جلد 29 شماره 134 صفحات 166-161 |
برگشت به فهرست نسخه ها
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Ostovarfar M, Fallahzadeh H, Askari M, Ostovarfar J, Mirzaei M. Population Attributable Risk (PAR) of Cardiovascular Diseases (CVD) Risk Factors; Bayesian Methods. J Adv Med Biomed Res 2021; 29 (134) :161-166
URL: http://journal.zums.ac.ir/article-1-6057-fa.html
URL: http://journal.zums.ac.ir/article-1-6057-fa.html
Population Attributable Risk (PAR) of Cardiovascular Diseases (CVD) Risk Factors; Bayesian Methods. Journal of Advances in Medical and Biomedical Research. 1400; 29 (134) :161-166
چکیده: (136606 مشاهده)
Background & Objective: Cardiovascular disease (CVD) is the main cause of morbidity and mortality in most countries. By identifying the population attributable risk (PAR) of the main risk factors of CVDs, the overall effect of various exposures on a population can be determined; the findings could be used in CVD prevention. The present study aimed to explore the PAR of some factors, including physical exercise, hypertension, obesity, high cholesterol level, low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglyceride (TG), cigarette, hookah smoking, and drug and alcohol abuse, for CVDs.
Materials & Methods: This study was done in Yazd Province, Iran. The PAR of the above-mentioned factors were assessed. The used data were obtained from the first stage of the Shahedieh Cohort Study, conducted on over 10 000 residents (aged 35-70 years) of Shahedieh and annexed cities. PAR and the related Bayesian credible interval were calculated using R 3.4.3 software.
Results: Of 9967 studied subjects, 7.95% had CVD. The most usual risk factors for CVDs were inadequate physical exercise and abdominal obesity (waist-to-hip ratio [WHR]). Age was the strongest determinant of CVD. PAR for inadequate physical exercise was 25.48% in women and 14.14 % in men; WHR PAR was 46.93% in women and 31.42 in men.
Conclusion: Age cannot be controlled, so that CVDs are mainly attributed to high blood pressure. Therefore, blood pressure control should be considered as a primary strategy to reduce CVD incidence.
نوع مطالعه: مقاله پژوهشی |
موضوع مقاله:
Epidemiologic studies
دریافت: 1399/3/22 | پذیرش: 1399/6/25 | انتشار: 1399/10/11
دریافت: 1399/3/22 | پذیرش: 1399/6/25 | انتشار: 1399/10/11
فهرست منابع
1. von Känel R. Psychosocial stress and cardiovascular risk-current opinion. Swiss Med Weekly. 2012;142(0304). [DOI:10.4414/smw.2012.13502]
2. Vakili M, Taheri M, Sartipzadeh N. Study of risk factors for acute myocardial infarction in patients registered at shahid Sadooghi hospital in Yazd: a case-control study. Quarterly J Sabzevar Univ Medical Sci. 2015;22(1):144-22.
3. Burnett R, Chen H, Szyszkowicz M, et al. Global estimates of mortality associated with long-term exposure to outdoor fine particulate matter. Proc Nat Acad Sci U S A. 2018;115(38):9592-7. [DOI:10.1073/pnas.1803222115]
4. Jafari N, Abolhasani F, Naghavi M, Pourmalek F, Moradi LM. National burden of disease and study in Iran. Iran J Public Health.2009;38(1):71-3
5. Gaziano TA. Reducing the growing burden of cardiovascular disease in the developing world. Health Affairs. 2007;26(1):13-24. [DOI:10.1377/hlthaff.26.1.13]
6. Brown WJ, Pavey T, Bauman AE. Comparing population attributable risks for heart disease across the adult lifespan in women. Br J Sports Med. 2015;49(16):1069-76. [DOI:10.1136/bjsports-2013-093090]
7. Willey JZ, Moon YP, Kahn E, et al. Population attributable risks of hypertension and diabetes for cardiovascular disease and stroke in the northern Manhattan study. J Am Heart Assoc. 2014;3(5):e001106. [DOI:10.1161/JAHA.114.001106]
8. Narayan KV, Thompson TJ, Boyle JP, et al. The use of population attributable risk to estimate the impact of prevention and early detection of type 2 diabetes on population‐wide mortality risk in US males. Health Care Manag Sci. 1999;2(4):223-7. [DOI:10.1023/A:1019048114376]
9. Welsh PI, Welsh C, Celis-Morales CA, et al. Lipoprotein (a) and cardiovascular disease: prediction, attributable risk fraction and estimating benefits from novel interventions. medRxiv. 2020. [DOI:10.1101/2020.03.30.20043554]
10. Stewart J, Manmathan G, Wilkinson P. Primary prevention of cardiovascular disease: A review of contemporary guidance and literature. JRSM Cardiovasc Dis. 2017;6:2048004016687211. [DOI:10.1177/2048004016687211]
11. Fallahzadeh H, Ostovarfar M, Lotfi MH. Population attributable risk of risk factors for type 2 diabetes; Bayesian methods. Diabetes & Metabolic Syndrome: Clin Res Rev. 2019;13(2):1365-8. [DOI:10.1016/j.dsx.2019.01.015]
12. Moghaddam MB, Aghdam FB, Jafarabadi MA, Allahverdipour H, Nikookheslat SD, Safarpour S. The Iranian version of international physical activity questionnaire (IPAQ) in Iran: content and construct validity, factor structure, internal consistency and stability. World Apply Sci J. 2012;18(8):1073-80.
13. Ardestani M, Niknami S, Hidarnia A, Hajizadeh E. Predictors of physical activity among adolescent girl students based on the social cognitive theory. J Res Health Sci. 2015;15(4):223-7.
14. Organization WHO. Obesity: preventing and managing the global epidemic: World Health Organization; 2000.
15. Hadaegh F, Zabetian A, Sarbakhsh P, Khalili D, James W, Azizi F. Appropriate cutoff values of anthropometric variables to predict cardiovascular outcomes: 7.6 years follow-up in an Iranian population. Int J Obesity. 2009;33(12):1437-45. [DOI:10.1038/ijo.2009.180]
16. Expert Panel on Detection E. Executive summary of the third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III). JAMA. 2001;285(19):2486. [DOI:10.1001/jama.285.19.2486]
17. Pirikahu S, Jones G, Hazelton ML, Heuer C. Bayesian methods of confidence interval construction for the population attributable risk from cross‐sectional studies. Stat Med. 2016;35(18):3117-30. [DOI:10.1002/sim.6870]
18. Sadeghi M, Talaei M, Oveisgharan S, et al. The cumulative incidence of conventional risk factors of cardiovascular disease and their population attributable risk in an Iranian population: The Isfahan Cohort Study. Adv Biomed Res. 2014;3:242. [DOI:10.4103/2277-9175.145749]
19. Flegal KM, Panagiotou OA, Graubard BI. Estimating population attributable fractions to quantify the health burden of obesity. Ann Epidemiol. 2015;25(3):201-7. [DOI:10.1016/j.annepidem.2014.11.010]
20. Odegaard K, Borg S, Persson U, Svensson M. The Swedish cost burden of overweight and obesity-evaluated with the PAR approach and a statistical modelling approach. Int J Pediatri Obesit. 2008;3(sup1):51-7. [DOI:10.1080/17477160801897067]
21. Esteghamati A, Abbasi M, Alikhani S, et al. Prevalence, awareness, treatment, and risk factors associated with hypertension in the Iranian population: the national survey of risk factors for noncommunicable diseases of Iran. Am J Hypertension. 2008;21(6):620-6. [DOI:10.1038/ajh.2008.154]
22. Azimi S, Khalili D, Hadaegh F, Mehrabi Y, Yavari P, Azizi F. Direct estimate of population attributable fraction of risk factors for cardiovascular diseases: Tehran Glucose and Lipid Study. Iran J Epidemiol. 2012;7(4):9-18.
23. Grau M, Subirana I, Elosua R, et al. Why should population attributable fractions be periodically recalculated?: An example from cardiovascular risk estimation in southern Europe. Prevent Med. 2010;51(1):78-84. [DOI:10.1016/j.ypmed.2010.03.012]
24. Lear SA, Hu W, Rangarajan S, et al. The effect of physical activity on mortality and cardiovascular disease in 130 000 people from 17 high-income, middle-income, and low-income countries: the PURE study. The Lancet. 2017;390(10113):2643-54. [DOI:10.1016/S0140-6736(17)31634-3]
25. Moran A, DeGennaro V, Ferrante D, et al. Coronary heart disease and stroke attributable to major risk factors is similar in Argentina and the United States: the Coronary Heart Disease Policy Model. Int J Cardiol. 2011;150(3):332-7. [DOI:10.1016/j.ijcard.2011.04.013]
26. Takashima N, Miura K, Hozawa A, et al. Population attributable fraction of smoking and metabolic syndrome on cardiovascular disease mortality in Japan: a 15-year follow up of NIPPON DATA90. BMC Pub Health. 2010;10(1):306. [DOI:10.1186/1471-2458-10-306]
27. Mukamal KJ. The effects of smoking and drinking on cardiovascular disease and risk factors. Alcohol Res Health. 2006;29(3):199.
28. Bhatnagar A, Maziak W, Eissenberg T, et al. Water pipe (hookah) smoking and cardiovascular disease risk: a scientific statement from the American Heart Association. Circulation. 2019;139(19):e917-e36. [DOI:10.1161/CIR.0000000000000671]
29. Khoramdad M, Vahedian‐azimi A, Karimi L, Rahimi‐Bashar F, Amini H, Sahebkar A. Association between passive smoking and cardiovascular disease: A systematic review and meta‐analysis. IUBMB life. 2020;72(4):677-86. [DOI:10.1002/iub.2207]
| بازنشر اطلاعات | |
 |
این مقاله تحت شرایط Creative Commons Attribution-NonCommercial 4.0 International License قابل بازنشر است. |
