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

Sanya, R and Webb, EORCID logo (2019). Contrasting impact of rural, versus urban, living on glucose metabolism and blood pressure in Uganda. [Dataset]. London School of Hygiene & Tropical Medicine, London, United Kingdom. 10.17037/DATA.00001528.
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Dataset produced as a result of two cross-sectional surveys investigating metabolic outcomes in urban and rural locations in Uganda. Each row represents one participant. Variables include data on location of residence (urban versus rural), metabolic parameters (including HOMA-IR, blood pressure, blood glucose) and socio-demographic characteristics.

Keywords

Rural; Urban; Metabolic; Hypertension; Diabetes; Insulin resistance; Africa

Item Type Dataset
Resource Type
Resource Type
Resource Description
Dataset
Quantitative
Capture method Questionnaire, Lab observation, Measurements and tests
Collection Period
From
To
1 September 2016
30 November 2017
Date 12 December 2019
Language(s) of written materials English
Creator(s) Sanya, R and Webb, EORCID logo
LSHTM Faculty/Department MRC/UVRI and LSHTM Uganda Research Unit
Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023)
Participating Institutions MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda; London School of Hygiene & Tropical Medicine, London, United Kingdom
Funders
Project
Funder
Grant Number
Funder URI
LaVIISWA, Urban Survey
Wellcome Trust
095778
http://dx.doi.org/10.13039/100010269
LaVIISWA, Urban Survey
Royal Society
IC160132
http://dx.doi.org/10.13039/501100000288
LaVIISWA, Urban Survey
DELTAS Africa Initiative
UNSPECIFIED
UNSPECIFIED
Date Deposited 31 Jan 2020 14:39
Last Modified 12 Feb 2026 16:17
Publisher London School of Hygiene & Tropical Medicine

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Data / Code

Rural-urban_survey_data.csv
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Data
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Available under Data Sharing Agreement
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Individual-level rural-urban survey data
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Documentation

Rural-urban_survey_data_codebook.html
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Documentation
Available under Creative Commons: Attribution 3.0
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Codebook for Rural-urban survey data
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