Contrasting impact of rural, versus urban, living on glucose metabolism and blood pressure in Uganda

Sanya, R and Webb, E. 2019. Contrasting impact of rural, versus urban, living on glucose metabolism and blood pressure in Uganda. [Online]. London School of Hygiene & Tropical Medicine, London, United Kingdom. Available from: https://doi.org/10.17037/DATA.00001528.

Sanya, R and Webb, E. Contrasting impact of rural, versus urban, living on glucose metabolism and blood pressure in Uganda [Internet]. London School of Hygiene & Tropical Medicine; 2019. Available from: https://doi.org/10.17037/DATA.00001528.

Sanya, R and Webb, E (2019). Contrasting impact of rural, versus urban, living on glucose metabolism and blood pressure in Uganda. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001528.

Description

Data capture method Questionnaire, Lab observation, Measurements and tests
Data Collection Period
FromTo
1 September 201630 November 2017
Date (Date submitted to LSHTM repository) 12 December 2019
Language(s) of written materials English
Data Creators Sanya, R and Webb, E
LSHTM Faculty/Department MRC/UVRI and LSHTM Uganda Research Unit
Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology
Participating Institutions MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda, London School of Hygiene & Tropical Medicine, London, United Kingdom
Funders
ProjectFunderGrant NumberFunder URI
LaVIISWA, Urban SurveyWellcome Trust095778http://dx.doi.org/10.13039/100010269
LaVIISWA, Urban SurveyRoyal SocietyIC160132http://dx.doi.org/10.13039/501100000288
LaVIISWA, Urban SurveyDELTAS Africa InitiativeUNSPECIFIEDUNSPECIFIED
Date Deposited 31 Jan 2020 14:39
Last Modified 08 Jul 2021 12:52
Publisher London School of Hygiene & Tropical Medicine

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Filename: Rural-urban_survey_data.csv

Description: Individual-level rural-urban survey data

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Content type: Dataset

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Filename: Rural-urban_survey_data_codebook.html

Description: Codebook for Rural-urban survey data

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