Estimation of Generalized Impact Fraction and Population Attributable Fraction of Hypertension Based on JNC-IV and 2017 ACC/AHA Guidelines for Cardiovascular Diseases Using Parametric G-Formula: Tehran Lipid and Glucose Study (TLGS)

References

• Esteghamati A, Etemad K, Koohpayehzadeh J, et al. Awareness, treatment and control of pre-hypertension and hypertension among adults in Iran. Arch Iran Med. 2016;19(7):456–464. doi:0161907/AIM.00327362238
   PubMed Web of Science ®Google Scholar
• Joffres M, Falaschetti E, Gillespie C, et al. Hypertension prevalence, awareness, treatment and control in national surveys from England, the USA and Canada, and correlation with stroke and ischaemic heart disease mortality: a cross-sectional study. BMJ Open. 2013;3(8):e003423. doi:10.1136/bmjopen-2013-003423
   PubMed Web of Science ®Google Scholar
• Whelton. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA guideline for the prevention, detection, evaluation, and management of high blood pressure in adults: executive summary: a report of the American College of Cardiology/American Heart Association Task Force on clinical practice guidelines. Hypertension. 2018;71(6):E136–E139. doi:10.1161/HYP.000000000000007529743246
   PubMed Web of Science ®Google Scholar
• Asgari S, Khaloo P, Khalili D, Azizi F, Hadaegh F. Status of hypertension in Tehran: potential impact of the ACC/AHA 2017 and JNC7 guidelines, 2012–2015. Sci Rep. 2019;9(1):6382. doi:10.1038/s41598-019-42809-331011156
   PubMed Web of Science ®Google Scholar
• Kim HC, Jeon YW, Heo ST. Global impact of the 2017 American College of Cardiology/American Heart Association hypertension guidelines. Circulation. 2018;138(21):2312–2314. doi:10.1161/CIRCULATIONAHA.118.03631230571579
   PubMed Web of Science ®Google Scholar
• Rothman KJ, Greenland S. Modern Epidemiology. Lippincott Williams& Wilkins; 2008.
   Google Scholar
• Levin ML. The occurrence of lung cancer in man. Acta Unio Int Contra Cancrum. 1953;9(3):531–541.13124110
   PubMedGoogle Scholar
• Cole P, MacMahon B. Attributable risk percent in case-control studies. Br J Prev Soc Med. 1971;25(4):242–244. doi:10.1136/jech.25.4.2425160433
   PubMedGoogle Scholar
• Khosravi A, Mansournia MA. Recommendation on unbiased estimation of population attributable fraction calculated in “prevalence and risk factors of active pulmonary tuberculosis among elderly people in China: a population based cross-sectional study”. Infect Dis Poverty. 2019;8(1). doi:10.1186/s40249-019-0587-8
   Web of Science ®Google Scholar
• Mansournia MA, Altman DG. Population attributable fraction. BMJ (Online). 2018;360.
   Google Scholar
• Greenland S. Estimating standardized parameters from generalized linear models. Stat Med. 1991;10(7):1069–1074. doi:10.1002/sim.47801007071876795
   PubMed Web of Science ®Google Scholar
• Gharibzadeh S, Mohammad K, Rahimiforoushani A, Amouzegar A, Mansournia MA. Standardization as a tool for causal inference in medical research. Arch Iran Med. 2016;19(9):0–0.
   Web of Science ®Google Scholar
• van der Wal WM, Prins M, Lumbreras B, Geskus R. A simple G‐computation algorithm to quantify the causal effect of a secondary illness on the progression of a chronic disease. Stat Med. 2009;28(18):2325–2337. doi:10.1002/sim.362919499549
   PubMed Web of Science ®Google Scholar
• Snowden JM, Rose S, Mortimer KM. Implementation of G-computation on a simulated data set: demonstration of a causal inference technique. Am J Epidemiol. 2011;173(7):731–738. doi:10.1093/aje/kwq47221415029
   PubMed Web of Science ®Google Scholar
• Taubman SL, Robins JM, Mittleman MA, Hernán MA. Intervening on risk factors for coronary heart disease: an application of the parametric g-formula. Int J Epidemiol. 2009;38(6):1599–1611. doi:10.1093/ije/dyp19219389875
   PubMed Web of Science ®Google Scholar
• Azizi F, Rahmani M, Emami H, et al. Cardiovascular risk factors in an Iranian urban population: Tehran lipid and glucose study (phase 1). Soz Praventivmed. 2002;47(6):408–426. doi:10.1007/s00038020000812643001
   PubMedGoogle Scholar
• Organization WH. Cerebrovascular Disorders: A Clinical and Research Classification. World Health Organization; 1978.
   Google Scholar
• National Document for the Prevention and Control of Non-Communicable Diseases and Related Risk Factors in the Islamic Republic of Iran, from 2015 to 2025. Tehran 2015:81.
   Google Scholar
• Qi Y, Han X, Zhao D, et al. Long-term cardiovascular risk associated with stage 1 hypertension defined by the 2017 ACC/AHA hypertension guideline. J Am Coll Cardiol. 2018;72(11):1201–1210. doi:10.1016/j.jacc.2018.06.05630189996
   PubMed Web of Science ®Google Scholar
• Hernández-Vásquez A, Santero M. New 2017 ACC/AHA hypertension guideline: implications for a Latin American country like Peru. Eur J Prev Cardiol. 2019;26(6):668–670. doi:10.1177/204748731879948930180757
   PubMed Web of Science ®Google Scholar
• Muntner P, Carey RM, Gidding S, et al. Potential US population impact of the 2017 ACC/AHA high blood pressure guideline. Circulation. 2018;137(2):109–118. doi:10.1161/CIRCULATIONAHA.117.03258229133599
   PubMed Web of Science ®Google Scholar
• Garies S, Hao S, McBrien K, et al. Prevalence of hypertension, treatment, and blood pressure targets in Canada associated with the 2017 American College of Cardiology and American Heart Association blood pressure guidelines. JAMA Netw Open. 2019;2(3):e190406–e190406. doi:10.1001/jamanetworkopen.2019.040630848811
   PubMed Web of Science ®Google Scholar
• Wang Z, Chen Z, Zhang L, et al. Status of hypertension in China: results from the China hypertension survey, 2012–2015. Circulation. 2018;137(22):2344–2356. doi:10.1161/CIRCULATIONAHA.117.03238029449338
   PubMed Web of Science ®Google Scholar
• Al Kibria GM, Swasey K, Hasan MZ, et al. Determinants of hypertension among adults in Bangladesh as per the Joint National Committee 7 and 2017 American College of Cardiology/American Hypertension Association hypertension guidelines. J Am Soc Hypertens. 2018;12(11):e45–e55. doi:10.1016/j.jash.2018.10.00430416080
   PubMed Web of Science ®Google Scholar
• Talaei M, Hosseini N, Koh AS, Yuan JM, Koh WP. Association of “elevated blood pressure” and “stage 1 hypertension” with cardiovascular mortality among an Asian population. J Am Heart Assoc. 2018;7(8):e008911. doi:10.1161/JAHA.118.00891129636346
   PubMed Web of Science ®Google Scholar
• Atasoy S, Johar H, Peters A, Ladwig K-H. Association of hypertension cut-off values with 10-year cardiovascular mortality and clinical consequences: a real-world perspective from the prospective MONICA/KORA study. Eur Heart J. 2019;40(9):732–738. doi:10.1093/eurheartj/ehy69430462213
   PubMed Web of Science ®Google Scholar
• Son JS, Choi S, Kim K, et al. Association of blood pressure classification in Korean young adults according to the 2017 American College of Cardiology/American Heart Association guidelines with subsequent cardiovascular disease events. JAMA. 2018;320(17):1783–1792. doi:10.1001/jama.2018.1650130398603
   PubMed Web of Science ®Google Scholar
• McEvoy JW, Daya N, Rahman F, et al. Association of isolated diastolic hypertension as defined by the 2017 ACC/AHA blood pressure guideline with incident cardiovascular outcomes. JAMA. 2020;323(4):329–338. doi:10.1001/jama.2019.2140231990314
   PubMed Web of Science ®Google Scholar
• Wang M, Wu T, Yu C, et al. Association between blood pressure levels and cardiovascular deaths: a 20-year follow-up study in rural China. BMJ Open. 2020;10(2):e035190–e035190. doi:10.1136/bmjopen-2019-035190
   Web of Science ®Google Scholar
• Gao J, Dai Y, Xie Y, et al. The association of stage 1 hypertension defined by the 2017 ACC/AHA guideline with stroke and its subtypes among elderly Chinese. Biomed Res Int. 2020;2020:4023787. doi:10.1155/2020/402378732149103
   PubMed Web of Science ®Google Scholar
• Han M, Chen Q, Liu L, et al. Stage 1 hypertension by the 2017 American College of Cardiology/American Heart Association hypertension guidelines and risk of cardiovascular disease events: systematic review, meta-analysis, and estimation of population etiologic fraction of prospective cohort studies. J Hypertens. 2020;38(4):573–578. doi:10.1097/HJH.000000000000232131790053
   PubMed Web of Science ®Google Scholar
• Johnson HM, Warner RC, LaMantia JN, Bowers BJ. “I have to live like I’m old.” Young adults’ perspectives on managing hypertension: a multi-center qualitative study. BMC Fam Pract. 2016;17(1):31. doi:10.1186/s12875-016-0428-926969619
   PubMed Web of Science ®Google Scholar
• Trajkova S, d’Errico A, Ricceri F, et al. Impact of preventable risk factors on stroke in the EPICOR study: does gender matter? Int J Public Health. 2017;62(7):775–786. doi:10.1007/s00038-017-0993-228643029
   PubMed Web of Science ®Google Scholar
• Kaur P, Ramachandra Rao S, Venkatachalam R, et al. Risk factors for cardiovascular disease in rural South India: cohort study. BMJ Open. 2019;9(10):e029759. doi:10.1136/bmjopen-2019-029759
   Web of Science ®Google Scholar
• Félix-Redondo FJ, Lozano Mera L, Alvarez-Palacios Arrighi P, Grau Magana M, Ramírez-Romero JM, Fernández-Bergés D. Impact of cardiovascular risk factors in the Extremadura population: HERMEX cohort contributions for a preventive strategy. Atencion Primaria. 2020;52(1):3–13. doi:10.1016/j.aprim.2018.11.00630638699
   PubMed Web of Science ®Google Scholar
• Sardarinia M, Akbarpour S, Lotfaliany M, et al. Risk factors for incidence of cardiovascular diseases and all-cause mortality in a middle eastern population over a decade follow-up: Tehran lipid and glucose study. PLoS One. 2016;11(12):e0167623. doi:10.1371/journal.pone.016762327930696
   PubMed Web of Science ®Google Scholar
• Dong K, Yang Q, Duan F, et al. Stroke and (or) myocardial infarction attributable to modifiable risk factors in Henan, China. J Am Soc Hypertens. 2018;12(7):524–533. doi:10.1016/j.jash.2018.03.01329699875
   PubMed Web of Science ®Google Scholar
• O’Donnell MJ, Chin SL, Rangarajan S, et al. Global and regional effects of potentially modifiable risk factors associated with acute stroke in 32 countries (INTERSTROKE): a case-control study. Lancet. 2016;388(10046):761–775. doi:10.1016/S0140-6736(16)30506-227431356
   PubMed Web of Science ®Google Scholar
• Ettehad D, Emdin CA, Kiran A, et al. Blood pressure lowering for prevention of cardiovascular disease and death: a systematic review and meta-analysis. Lancet. 2016;387(10022):957–967. doi:10.1016/S0140-6736(15)01225-826724178
   PubMed Web of Science ®Google Scholar
• Hussain MA, Al Mamun A, Peters SA, Woodward M, Huxley RR. The burden of cardiovascular disease attributable to major modifiable risk factors in Indonesia. J Epidemiol. 2016;26(10):515–521. doi:10.2188/jea.JE2015017827021286
   PubMed Web of Science ®Google Scholar
• Redon J, Tellez-Plaza M, Orozco-Beltran D, et al. Impact of hypertension on mortality and cardiovascular disease burden in patients with cardiovascular risk factors from a general practice setting: the ESCARVAL-risk study. J Hypertens. 2016;34(6):1075–1083. doi:10.1097/HJH.000000000000093027074896
   PubMed Web of Science ®Google Scholar
• Clark D, Colantonio LD, Min YI, et al. Population-attributable risk for cardiovascular disease associated with hypertension in black adults. JAMA Cardiol. 2019;4(12):1194–1202. doi:10.1001/jamacardio.2019.377331642869
   PubMed Web of Science ®Google Scholar
• Shadmani FK, Karami M. Joint effect of modifying selected risk factors on attributable burden of cardiovascular diseases. Int J Prev Med. 2013;4(12):1461–1467.24498503
   PubMedGoogle Scholar
• Mazloumi E, Poorolajal J, Sarrafzadegan N, Roohafza HR, Faradmal J, Karami M. Avoidable burden of cardiovascular diseases in the eastern mediterranean region: contribution of selected risk factors for cardiovascular-related deaths. High Blood Pressure Cardiovasc Prev. 2019;26(3):227–237. doi:10.1007/s40292-019-00319-3
   Web of Science ®Google Scholar
• Khosravi A, Nielsen RO, Mansournia MA. Methods matter: population attributable fraction (PAF) in sport and exercise medicine. Br J Sports Med. 2020;bjsports-2020-101977.
   Web of Science ®Google Scholar
• Zhang C-Y, Zhao F, Xia -Y-Y, et al. Prevalence and risk factors of active pulmonary tuberculosis among elderly people in China: a population based cross-sectional study. Infect Dis Poverty. 2019;8(1):7. doi:10.1186/s40249-019-0515-y30654836
   PubMed Web of Science ®Google Scholar
• Lin C-K, Lin R-T, Chen T, Zigler C, Wei Y, Christiani DC. A global perspective on coal-fired power plants and burden of lung cancer. Environ Health. 2019;18(1):9. doi:10.1186/s12940-019-0448-830691464
   PubMed Web of Science ®Google Scholar
• Cai Z, Brumback BA. Model‐based standardization to adjust for unmeasured cluster‐level confounders with complex survey data. Stat Med. 2015;34(15):2368–2380. doi:10.1002/sim.650425851438
   PubMed Web of Science ®Google Scholar
• Mokhayeri Y, Hashemi-Nazari SS, Khodakarim S, et al. Effects of hypothetical interventions on ischemic stroke using parametric G-formula. Stroke. 2019;50(11):3286–3288. doi:10.1161/STROKEAHA.119.02574931480969
   PubMed Web of Science ®Google Scholar
• Vangen-Lonne AM, Ueda P, Gulayin P, Wilsgaard T, Mathiesen EB, Danaei G. Hypothetical interventions to prevent stroke: an application of the parametric g-formula to a healthy middle-aged population. Eur J Epidemiol. 2018;33(6):557–566. doi:10.1007/s10654-017-0344-x29294206
   PubMed Web of Science ®Google Scholar
• O’Neill KN, Fitzgerald AP, Kearney PM. Impact of population distribution shifts in sugar-sweetened beverage consumption on type II diabetes incidence in Ireland. Ann Epidemiol. 2020;41:1–6. doi:10.1016/j.annepidem.2019.12.00731928896
   PubMed Web of Science ®Google Scholar
• Jain P, Suemoto CK, Rexrode K, et al. Hypothetical lifestyle strategies in middle-aged women and the long-term risk of stroke. Stroke. 2020;51(5):1381–1387. doi:10.1161/STROKEAHA.119.02676132268852
   PubMed Web of Science ®Google Scholar