Replication Data for: Diagnostic Accuracy of Unattended Automated Office Blood Pressure Measurement in Screening for Hypertension in Kenya

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Replication Data for: Diagnostic Accuracy of Unattended Automated Office Blood Pressure Measurement in Screening for Hypertension in Kenya
Odipo, Emily; Sigilai, Antipa; Etyang, Anthony O., 2020, "Replication Data for: Diagnostic Accuracy of Unattended Automated Office Blood Pressure Measurement in Screening for Hypertension in Kenya", https://doi.org/10.7910/DVN/AAIKJ4, Harvard Dataverse, V1, UNF:6:5ZmpJ7jw2ImmjYlkgGfBEg== [fileUNF]
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Description

This a replication dataset for the paper Etyang, A.O., Sigilai, A., Odipo, E., Oyando, R., Ong’ayo, G., Muthami, L., Munge, K., Kirui, F., Mbui, J., Bukania, Z. and Mwai, J., 2019. Diagnostic accuracy of unattended automated office blood pressure measurement in screening for hypertension in Kenya. Hypertension, 74(6), pp.1490-149. doi:https://doi.org/10.1161/HYPERTENSIONAHA.119.13574

The related study was conducted at 3 geographically distinct sites in Kenya: Kilifi, located along the Indian Ocean coast; Kirinyaga, in the central highlands; and Webuye, in Western Kenya. Between June 2017 and December 2018, an age-stratified random sample of adults (age, ≥18 years) was recruited. Data on uAOBP and ABPM measurements was collected. Data analyses were conducted using Stata, version 15, software (College Station, TX).

Subject Medicine, Health and Life Sciences
Related Publication Etyang, A.O., Sigilai, A., Odipo, E., Oyando, R., Ong’ayo, G., Muthami, L., Munge, K., Kirui, F., Mbui, J., Bukania, Z. and Mwai, J., 2019. Diagnostic accuracy of unattended automated office blood pressure measurement in screening for hypertension in Kenya. Hypertension, 74(6), pp.1490-1498. doi:https://doi.org/10.1161/HYPERTENSIONAHA.119.13574doi: 10.1161/HYPERTENSIONAHA.119.13574
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EtyangA_Nahenda_Codebook.pdf
EtyangA_Nahenda_Codebook.pdf
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nahenda_master.tab
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34 Variables, 1291 Observations UNF:6:5ZmpJ7jw2ImmjYlkgGfBEg==
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an_nahenda_replication.do
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hyp_hype201913574_supp1.pdf
hyp_hype201913574_supp1.pdf
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MD5: 1bf97c4d9d275b7638395f1991ef8cec
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