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Data Details

High Risk Analysis Dataset on Elderly Patients with Hypertension in Xiji, Ningxia of China (2015-2016)


ZHANG Mingxin1WANG Yingjing1LI Hao2WANG Xuezhong3
1 College of Resources and Environmental Science，Ningxia University，Yinchuan 750021，China2 College of geography and tourism，Shaanxi Normal University，Xi'an 710062，China3 Department of Cardiology，General Hospital of Ningxia Medical University，Yinchuan 750006，China

DOI:10.3974/geodb.2021.03.11.V1

Published:Mar. 2021

Visitors：7067       Data Files Downloaded：47      
Data Downloaded：5.11 MB      Citations：

Key Words：

Xiji County,elderly people,high-risk hypertensive patients,morbidity

Abstract：

The high risk analysis dataset on elderly patients with hypertension in Xiji, Ningxia of China was developed based on the statistics and analysis data integrating with geo-spatial data on high-risk hypertensive patients in the hospitals of Xiji County and surrounding areas. The dataset includes: (1) the spatial data of high ways, roads and boundary of towns in Xiji county; (2) monthly elderly patients with high-risk hypertension in Xiji County from 2015 to 2016; (3) elderly patients with high-risk hypertension in each township of Xiji County from 2015 to 2016; (4) the morbidity of high-risk elderly patients with hypertension in each township of Xiji County from 2015 to 2016. The dataset is archived in .shp and .xlsx data formats, and consists of 25 data files with data size of 258 KB (compressed to one single file with 111 KB).Browse

Foundation Item：

Ningxia Natural Science Foundation (2020AAC03114)

Data Citation：

ZHANG Mingxin, WANG Yingjing, LI Hao, WANG Xuezhong. High Risk Analysis Dataset on Elderly Patients with Hypertension in Xiji, Ningxia of China (2015-2016)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2021. https://doi.org/10.3974/geodb.2021.03.11.V1.

ZHANG Mingxin, WANG Yingjing, LI Hao, et al. Morbidity dataset of high risk patients with Hypertension over 60a in Xiji county of China [J]. Journal of Global Change Data & Discovery, 2021, 5(2): 213-218. https://doi.org/10.3974/geodp.2021.02.14.

References：

[1] Chen, W. W., Gao, R. L., Liu, L. S., et al. Summary of China cardiovascular disease report 2017 [J]. Chinese Journal of Circulation, 2018, 33 (1): 1-8.
     [2] Zhang, S. Y., Wang, B. J., Xie, J. F., et al. Analysis and prediction of the relationship between cardiovascular and cerebrovascular diseases and meteorological conditions in Jilin Province [J]. Meteorology, 2010, 36(9): 115-119.
     [3] Liu, X. E., Li, Q. N., Zhao, Z. Q., et al. Effects of temperature and cold air on mortality of cardiovascular and cerebrovascular diseases in Wuhan City [J]. China public health, 2002, 18(8): 948-950.
     [4] http://www.360doc.com/content/16/1029/10/224530_602267007.shtml.
     [5] Zhang, M. X., Ge, M. Analysis of the influence of regional geographical environment on the normal value of systolic blood pressure in Chinese male youth [J], Scientia Geographica Sinica, 2012, 32(11): 404-1410.
     [6] Liao, X. Y., Zhao, Z. Q., Zhao, Z. C. Effects of temperature and cold air on cardiovascular mortality in Beijing [J]. Chinese Journal of General Medicine, 1999 (Supplement): 56-57.
     [7] GCdataPR Editorial Office. GCdataPR Data Sharing Policy [OL]. DOI: 10.3974/dp.policy.2014.05 (Updated 2017).
     [8] Dong, M. H., Huang, X. X., Lin, Y., et al. Analysis of the relationship between hypertension and short-term weather change [J]. Guangxi Meteorology, 2000, 21(2): 43-48.
     [9] Cheng, J. Q., Liu, J. P., Zhang, R. L. Relationship between stroke and temperature in Shenzhen [J]. Chinese Journal of Public Health, 2007, 23: 970-971.
     [10] Zhao, N. J., Niu, J. P., Ruan, Y., et al. Effect of cold air activity on blood lipid level in population [J]. Journal of Environment and Health, 2011, 28 (11): 953-955.
     [11] Yang, Z. Z., Yang, L. H. Effect of meteorological factors on blood pressure in elderly patients with hypertension [J]. World Journal of Integrated Traditional and Western Medicine, 2009, 4(6): 418-419.
     [12] Liu, F., Zhang, J. L., Lu, C. Research status of meteorological factors and cardiovascular and cerebrovascular diseases in China [J]. Meteorological Science and Technology, 2004, 32(6): 425-437.
     [13] Feng, Q. A., Zhang, S. W., Chen, J., et al. The influence of meteorological factors on the incidence of acute myocardial infarction. Chinese Journal of Integrative Medicine on Cardio-/Cerebrovascuiar Disease [J]. 2011, 9(8): 932-934.
     [14] Wu, G. X., Lu, C., Li, Q. C., et al. Study on the relationship between the change of meteorological factors and the treatment of cardiovascular diseases [J]. Journal of Cardiovascular and Pulmonary Diseases, 2005, 24(1): 1-4.
     [15] Gao, R. L. Burden of coronary heart disease: the way out for China [J]. Chinese Circulation Journal, 2017, 32(1): 1-4.
     [16] Liu, X. Q., Yuan, Y., Wang, Z. Q., et al. Risk assessment of ischemic cardiovascular disease among residents aged 35-59 in Fangshan District of Beijing [J]. Chinese Journal of Public Health, 2017,33 (09): 1331-1334.
     [17] D’amato, G., Cecchi, L., D’amato, M., et al. Urban air pollution and climate change as environmental risk factors of respiratory allergy: An update [J]. Journal of Investigational Allergology and Clinical Immunology, 2010, 20(2): 95-102.
     [18] Hogg, J. C. Pathophysiology of airflow limitation in chronic obstructive pulmonary disease [J]. The Lancet, 2004, 364(9435): 709-721.
     [19] Landrigan, P. J., Suk, W., Amler, R. W. Chemical wastes, children’s health, and the superfund basic research program [J]. Environmental Health Perspectives, 1999, 107(6): 423-427.
     [20] Weiland, S. K., Bjorksten, B., Brunekreef, B., et al. Phase II of the international study of asthma and allergies in childhood (ISAAC II): Rationale and methods [J]. European Respiratory Journal, 2004, 24(3): 406-412.
     

Data Product:

ID Data Name Data Size Operation
0Datapaper_ElderlyPatients_HypertensionXiji.pdf274.00kbDownLoad
1 ElderlyPatients_HypertensionXiji.rar 111.42KB
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