Stanaway JD, Afshin A, Gakidou E, Lim SS, Abate D, Abate KH, et al. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392(10159):1923–94. https://doi.org/10.1016/S0140-6736(18)32225-6.
Article
Google Scholar
Park JB, Kario K, Wang J-G. Systolic hypertension: an increasing clinical challenge in Asia. Hypertens Res. 2015;38(4):227–36. https://doi.org/10.1038/hr.2014.169.
Article
PubMed
Google Scholar
Yusufali AM, Khatib R, Islam S, Alhabib KF, Bahonar A, Swidan HM, et al. Prevalence, awareness, treatment and control of hypertension in four Middle East countries. J Hypertens. 2017;35(7):1457–64. https://doi.org/10.1097/HJH.0000000000001326.
Article
CAS
PubMed
Google Scholar
Oori MJ, Mohammadi F, Norozi K, Fallahi-Khoshknab M, Ebadi A, Gheshlagh RG. Prevalence of HTN in Iran: meta-analysis of published studies in 2004–2018. Curr Hypertens Rev. 2019;15(2):113–22. https://doi.org/10.2174/1573402115666190118142818.
Article
CAS
PubMed
PubMed Central
Google Scholar
Ebrahimi M, Heidari-Bakavoli AR, Mazidi M, Moohebati M, Azarpazhooh MR, Nematy M, et al. Prevalence of hypertension, pre-hypertension and undetected hypertension in Mashhad, Iran. Mediterr J Nutr Metab. 2016;9(3):213–23. https://doi.org/10.3233/MNM-150046.
Article
Google Scholar
Olsen MH, Angell SY, Asma S, Boutouyrie P, Burger D, Chirinos JA, et al. A call to action and a lifecourse strategy to address the global burden of raised blood pressure on current and future generations: the Lancet Commission on hypertension. Lancet. 2016;388(10060):2665–712. https://doi.org/10.1016/s0140-6736(16)31134-5.
Article
PubMed
Google Scholar
Chen RY, Jie G, Xubin D, Xiaohan Y, Yuanqi S, Yang H, et al. Influence of blood pressure control and application of renin-angiotensin-aldosterone system inhibitors on the outcomes in COVID-19 patients with hypertension. J Clin Hypertens. 2020;22(11):1974–83. https://doi.org/10.1111/jch.14038.
Article
CAS
Google Scholar
Huh K, Lee R, Wonjun J, Minsun K, Hwang IC, Dae HL, Jaehun J. Impact of obesity, fasting plasma glucose level, blood pressure, and renal function on the severity of COVID-19: a matter of sexual dimorphism? Diabetes Res Clin Pract. 2020;170: 108515. https://doi.org/10.1016/j.diabres.2020.108515.
Article
CAS
PubMed
PubMed Central
Google Scholar
Li W, Wang D, Wu C, Shi O, Zhou Y, Lu Z. The effect of body mass index and physical activity on hypertension among Chinese middle-aged and older population. Sci Rep. 2017;7(1):1–7. https://doi.org/10.1038/s41598-017-11037-y.
Article
CAS
Google Scholar
Talukder MH, Johnson WM, Varadharaj S, Lian J, Kearns PN, El-Mahdy MA, et al. Chronic cigarette smoking causes hypertension, increased oxidative stress, impaired NO bioavailability, endothelial dysfunction, and cardiac remodeling in mice. Am J Physiol Heart Circulatory Physiol. 2011;300(1):H388–96. https://doi.org/10.1152/ajpheart.00868.2010.
Article
CAS
Google Scholar
Singh S, Shankar R, Singh GP. Prevalence and associated risk factors of hypertension: a cross-sectional study in urban Varanasi. Int J Hypertens. 2017. https://doi.org/10.1155/2017/5491838.
Article
PubMed
PubMed Central
Google Scholar
Yang B-Y, Guo Y, Bloom MS, Xiao X, Qian ZM, Liu E, et al. Ambient PM1 air pollution, blood pressure, and hypertension: insights from the 33 Communities Chinese Health Study. Environ Res. 2019;170:252–9. https://doi.org/10.1016/j.envres.2018.12.047.
Article
CAS
PubMed
Google Scholar
Zhang Z, Dong B, Li S, Chen G, Yang Z, Dong Y, et al. Exposure to ambient particulate matter air pollution, blood pressure and hypertension in children and adolescents: a national cross-sectional study in China. Environ Int. 2019;128:103–8. https://doi.org/10.1016/j.envint.2019.04.036.
Article
CAS
PubMed
Google Scholar
Yu Y, Yao S, Dong H, Wang L, Wang C, Ji X, et al. Association between short-term exposure to particulate matter air pollution and cause-specific mortality in Changzhou, China. Environ Res. 2019;170:7–15. https://doi.org/10.1016/j.envres.2018.11.041.
Article
CAS
PubMed
Google Scholar
Chen T, Lang W, Li X. Exploring the impact of urban green space on residents’ health in Guangzhou, China. J Urban Planning Dev. 2020;146(1):05019022. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000541.
Article
Google Scholar
Wu Y, Ye Z, Fang Y. Spatial analysis of the effects of PM2. 5 on hypertension among the middle-aged and elderly people in China. Int J Environ Health Res. 2019. https://doi.org/10.1080/09603123.2019.1682528.
Article
PubMed
Google Scholar
Leng H, Li S, Yan S, An X. Exploring the relationship between green space in a neighbourhood and cardiovascular health in the winter city of China: a study using a health survey for harbin. Int J Environ Res Public Health. 2020;17(2):513. https://doi.org/10.3390/ijerph17020513.
Article
PubMed Central
Google Scholar
Curto A, Wellenius GA, Milà C, Sanchez M, Ranzani O, Marshall JD, et al. Ambient particulate air pollution and blood pressure in peri-urban India. Epidemiology. 2019;30(4):492–500. https://doi.org/10.1097/EDE.0000000000001014.
Article
PubMed
PubMed Central
Google Scholar
Xu H, Li H. Total amount calculation and health benefit assessment of PM. 25 adsorbed by urban green space in Xuzhou City, China. Nat Environ Pollut Technol. 2017;16(1):81.
CAS
Google Scholar
Maas J, Verheij RA, Spreeuwenberg P, Groenewegen PP. Physical activity as a possible mechanism behind the relationship between green space and health: a multilevel analysis. BMC Public Health. 2008;8(1):206. https://doi.org/10.1186/1471-2458-8-206.
Yang B-YQ, Qian Z, Howard SW, Vaughn MG, Fan S-J, Liu K-K, et al. Global association between ambient air pollution and blood pressure: a systematic review and meta-analysis. Environ Pollut. 2018;235:576–88. https://doi.org/10.1016/j.envpol.2018.01.001.
Article
CAS
PubMed
Google Scholar
Li N, Chen G, Liu F, Mao S, Liu Y, Hou Y, et al. Associations of long-term exposure to ambient PM1 with hypertension and blood pressure in rural Chinese population: the Henan rural cohort study. Environ Int. 2019;128:95–102. https://doi.org/10.1016/j.envint.2019.04.037.
Article
CAS
PubMed
PubMed Central
Google Scholar
Wu YY, Zirong Y, Fang Y. Spatial analysis of the effects of PM2. 5 on hypertension among the middle-aged and elderly people in China. Int J Environ Health Res. 2019. https://doi.org/10.1080/09603123.2019.1682528.
Article
PubMed
Google Scholar
Curto AW, Milà GA, Sanchez C, Ranzani M, Marshall O, Kulkarni JD, et al. Ambient particulate air pollution and blood pressure in peri-urban India. Epidemiology. 2019;30(4):492–500. https://doi.org/10.1097/EDE.0000000000001014.
Article
PubMed
PubMed Central
Google Scholar
Carey RM, Muntner P, Bosworth HB, Whelton PK. Reprint of: prevention and control of hypertension: JACC health promotion series. J Am Coll Cardiol. 2018;72(23):2996–3011. https://doi.org/10.1016/j.jacc.2018.10.022.
Article
PubMed
Google Scholar
Rahmati AR, Kiani B, Afshari A, Moghaddas E, Williams M, Shamsi S. World-wide prevalence of Anisakis larvae in fish and its relationship to human allergic anisakiasis: a systematic review. Parasitol Res. 2020;119(11):3585–94. https://doi.org/10.1007/s00436-020-06892-0.
Article
PubMed
Google Scholar
Park S-Y, Kwak J-M, Seo E-W, Lee K-S. Spatial analysis of the regional variation of hypertensive disease mortality and its socio-economic correlates in South Korea. Geospat Health. 2016. https://doi.org/10.4081/gh.2016.420.
Article
PubMed
Google Scholar
Kiani B, Bagheri N, Tara A, Hoseini B, Tabesh H, Tara M. Revealed access to haemodialysis facilities in northeastern Iran: factors that matter in rural and urban areas. Geospat Health. 2017;12(2):237–44. https://doi.org/10.4081/gh.2017.584.
Article
Google Scholar
Tohidinezhad F, Khorsand A, Zakavi SR, Rezvani R, Zarei-Ghanavati S, Abrishami M, et al. The burden and predisposing factors of non-communicable diseases in Mashhad University of Medical Sciences personnel: a prospective 15-year organizational cohort study protocol and baseline assessment. BMC Public Health. 2020;20(1):1–15. https://doi.org/10.1186/s12889-020-09704-3.
Article
Google Scholar
Kim D, Zhang Y, Lee CK. Understanding needs and barriers to using geospatial tools for public health policymaking in China. Geospat Health. 2018. https://doi.org/10.4081/gh.2018.594.
Article
PubMed
Google Scholar
(MMPGSO) MMPaGSO. Statistics and information about Mashahd city parks at the end of 2020 Mashhad, Iran; 2020. https://parks.mashhad.ir//parameters/mashhad/modules/cdk/upload/content/file_manager/10864/list%20of%20parks.pdf. Accessed 20 Sept 2021.
Shabanikiya H, Hashtarkhani S, Bergquist R, Bagheri N, VafaeiNejad R, Amiri-Gholanlou M, et al. Multiple-scale spatial analysis of paediatric, pedestrian road traffic injuries in a major city in North-Eastern Iran 2015–2019. BMC Public Health. 2020;20:722. https://doi.org/10.1186/s12889-020-08911-2.
Article
PubMed
PubMed Central
Google Scholar
World Health Organization (WHO). Cardiovascular diseases (CVDs) 2021. https://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds). Accessed 20 Sept 2021.
Brook RD, Rajagopalan S. 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. A report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Society Hypertension. 2018;12(3):238. https://doi.org/10.1016/j.jash.2018.01.004.
Article
Google Scholar
Austin PC, Stryhn H, Leckie G, Merlo J. Measures of clustering and heterogeneity in multilevel Poisson regression analyses of rates/count data. Stat Med. 2018;37(4):572–89. https://doi.org/10.1002/sim.7532.
Article
PubMed
Google Scholar
Hoseini B, Bagheri N, Kiani B, Azizi A, Tabesh H, Tara M. Access to dialysis services: a systematic mapping review based on geographical information systems. Geospat Health. 2018;13(1):3–10. https://doi.org/10.4081/gh.2018.577.
Article
Google Scholar
Kiani B, Raouf Rahmati A, Bergquist R, Moghaddas E. Comparing spatio-temporal distribution of the most common human parasitic infections in Iran over two periods 2007 to 2012 and 2013 to 2018: a systematic quantitative literature review. Int J Health Plan Manag. 2020;35(5):1023–40. https://doi.org/10.1002/hpm.3010.
Article
Google Scholar
Pishgar E, Mohammadi A, Bagheri N, Kiani B. A spatio-temporal geodatabase of mortalities due to respiratory tract diseases in Tehran, Iran between 2008 and 2018: a data note. BMC Res Notes. 2020;13(1):1–3. https://doi.org/10.1186/s13104-020-05319-4.
Article
Google Scholar
Kiani B. A geodatabase to measure the blood pressure level of individuals living in the city of Mashhad, Iran. Harvard Dataverse. 2021;. https://doi.org/10.7910/DVN/GKJUSL.
Article
Google Scholar