Burden of cardiovascular disease from 1990 to 2017 in Henan Province, China

References

• World Health Organization. Cardiovascular diseases (CVDs) key facts. [ Cited2020Oct12]. Available from: https://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds)
   Google Scholar
• Liu S, Li Y, Zeng X, et al. Burden of cardiovascular diseases in China, 1990-2016: findings from the 2016 Global Burden Of Disease Study. JAMA Cardiol. 2019;4(4):342–13.
   PubMed Web of Science ®Google Scholar
• Ma LY, Chen WW, Gao RL, et al. China cardiovascular diseases report 2018: an updated summary. J Geriatr Cardiol. 2020;17(1):1–8.
   PubMedGoogle Scholar
• The Writing Committee of the Report on Cardiovascular Health and Diseases in China. Report on cardiovascular health and diseases in China 2019: an updated summary. Chin Circ J. 2020;7(4):4–15.
   Google Scholar
• Xuan SH, Feng H, Di X, et al. Main diseases impact to expectancy of life in Henan Province, 2014. Chin J Health Educ. 2017;33(7):596–599. (In Chinese).
   Google Scholar
• Jeffrey DS, Ashkan A, Emmanuela G, et al. Global, regional, and national comparative risk assessment of 84 behavioral, 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):1923–1994.
   PubMed Web of Science ®Google Scholar
• Spencer LJ, Degu A, Kalkidan HA, et al. GBD 2017 disease and injury incidence and prevalence collaborators. global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden Of Disease Study 2017. Lancet. 2018;392(10159):1789–1858.
   PubMed Web of Science ®Google Scholar
• Rafael L, Nancy F, Degu A, et al. GBD 2017 SDG collaborators. measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related sustainable development goals for 195 countries and territories: a systematic analysis for the Global Burden Of Disease Study 2017. Lancet. 2018;392(10159):2091–2138.
   PubMed Web of Science ®Google Scholar
• Zhou M, Wang H, Zeng X, et al. Mortality, morbidity, and risk factors in China and its provinces, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2019;394(10204):1145–1158.
   PubMed Web of Science ®Google Scholar
• Gregory AR, Degu A, Kalkidan HA, et al. GBD 2017 causes of death collaborators. global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392(10159):1736–1788.
   PubMed Web of Science ®Google Scholar
• Hmwe HK, Degu A, Kalkidan HA, et al. GBD 2017 DALYs and HALE Collaborators. Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392(10159):1859–1922.
   PubMed Web of Science ®Google Scholar
• Roth GA, Johnson C, Abajobir A, et al. Global, regional, and national burden of cardiovascular diseases for 10 causes, 1990 to 2015. J Am Coll Cardiol. 2017;70(1):1–25.
   PubMed Web of Science ®Google Scholar
• Salomon JA, Haagsma JA, Davis A, et al. Disability weights for the Global Burden of Disease 2013 study. Lancet Glob Health. 2015;3(11):e712–e723.
   PubMed Web of Science ®Google Scholar
• Simon I H,  Amanuel AA, Kalkidan HA, et al. GBD 2016 DALYs and HALE collaborators. global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2017;390(10100):1260–1344.
   PubMed Web of Science ®Google Scholar
• Murray CJ, Vos T, Lozano R, et al. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380(9859):2197–2223.
   PubMed Web of Science ®Google Scholar
• Salomon JA, Vos T, Hogan DR, et al. Common values in assessing health outcomes from disease and injury: disability weights measurement study for the Global Burden of Disease Study 2010. Lancet. 2012;380(9859):2129–2143.
   PubMed Web of Science ®Google Scholar
• Haagsma JA, Maertens de Noordhout C, Polinder S, et al. Assessing disability weights based on the responses of 30,660 people from four European countries. Popul Health Metr. 2015;13(1):10.
   Google Scholar
• Christopher JLM, Charlton SKH, Xie RK, et al. GBD 2017 population and fertility collaborators. population and fertility by age and sex for 195 countries and territories, 1950-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392(10159):1995–2051.
   PubMed Web of Science ®Google Scholar
• Lim SS, Vos T, Flaxman AD, et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380(9859):2224–2260.
   PubMed Web of Science ®Google Scholar
• Li Y, Liu S, Wang L, et al. Burden of disease attributable to main behavioral risk factor of chronic disease inactivity in China, 1990 and 2010. Chin J Prev Med. 2015; 49(4):303–308. (In Chinese).
   Google Scholar
• National Bureau of Statistics. Tabulation on the 2010 population census of the People’s Republic of China [cited 2020 Nov 12]. Available from: http://www.stats.gov.cn/tjsj/pcsj/rkpc/6rp/indexch.htm
   Google Scholar
• Disease prevention and control bureau of the national health and family planning commission of the People’s Republic of China. Report on Chinese Residents’ Chronic Diseases and Nutrition 2015.Beijing: People’s Medical Publishing House; 2016, Pg.68.
   Google Scholar
• Yue W. The investigation of stroke prevalence and associated risk factors in a Chinese population aged 40 years and older. D. Tianjin: Tianjin Medical University; 2016. (In Chinese).
   Google Scholar
• Dorairaj P, Panniyammakal J, Meenakshi S, et al. India state-level disease burden initiative CVD collaborators. The changing pattern of cardiovascular diseases and their risk factors in the states of India: the Global Burden of Disease Study 1990-2016. Lancet Glob Health. 2018;6:e1339–51.
   Web of Science ®Google Scholar
• India State-Level Disease Burden Initiative Collaborators. Nations within a nation: variations in epidemiological transition across the states of India, 1990–2016 in the Global Burden of Disease Study. Lancet. 2017;390(10111):2437–2460.
   PubMed Web of Science ®Google Scholar
• Li Y, Wang J, Zhang X, et al. Retrospect and prospect of healthy lifestyle for all, 2007-2015. Chin J Health Educ. 2016;32(12):1143–1145. (In Chinese).
   Google Scholar
• Shi S, Guo B, Li S, et al. Evaluation of the effect of the comprehensive prevention model based on the prevention, treatment and management of stroke. Chin Health Serv Manage. 2019;36(3):227–230. (In Chinese).
   Google Scholar
• Lewington S, Lacey B, Clarke R, et al. The burden of hypertension and associated risk for cardiovascular mortality in China. JAMA Intern Med. 2016;176(4):524–532.
   PubMed Web of Science ®Google Scholar
• Wang R, Wang W, Zhou G. Survey on current smoking status among residents in Henan province. J ZZU (Med Sci). 2012;47(2): 188–190. (In Chinese).
   Google Scholar
• Ohlsson C, Bygdell M, Sondén A, et al. BMI increase through puberty and adolescence is associated with risk of adult stroke. Neurology. 2017;89(4):363–369.
   Web of Science ®Google Scholar
• Huang K, Liu F, Han X, et al. Association of BMI with total mortality and recurrent stroke among stroke patients: a meta-analysis of cohort studies. Atherosclerosis. 2016;253:94–101.
   PubMed Web of Science ®Google Scholar
• Zhang Y, Wang W, Yan G, et al. Analysis on status of health literacy among residents in Henan Province, 2014. Chin J Health Educ. 2017;08:675–680. (In Chinese).
   Google Scholar
• Wei W, Li F, Li Y, et al. The study of diabetes-related behavior status and affecting factors among urban and suburban residents in six provinces in China. Chin J Prev Med. 2014;48(7):571–575. (In Chinese).
   Google Scholar