Dataset from an observational cohort study of heat stress in pregnant farmers in The Gambia

Bonell, A, Badjie, J, Sonko, B, Prentice, AM, Haines, A, Maxwell, N, Hirst, J and Vicedo-cabrera, AM. 2023. Dataset from an observational cohort study of heat stress in pregnant farmers in The Gambia. [Online]. London School of Hygiene & Tropical Medicine, London, United Kingdom. Available from: https://doi.org/10.17037/DATA.00003390.

Bonell, A, Badjie, J, Sonko, B, Prentice, AM, Haines, A, Maxwell, N, Hirst, J and Vicedo-cabrera, AM. Dataset from an observational cohort study of heat stress in pregnant farmers in The Gambia [Internet]. London School of Hygiene & Tropical Medicine; 2023. Available from: https://doi.org/10.17037/DATA.00003390.

Bonell, A, Badjie, J, Sonko, B, Prentice, AM, Haines, A, Maxwell, N, Hirst, J and Vicedo-cabrera, AM (2023). Dataset from an observational cohort study of heat stress in pregnant farmers in The Gambia. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003390.

Description

Description of data capture Data collection methods: An observational study based in West Kiang region, The Gambia. Participants were identified through the antenatal clinic and the Health and Demographic Surveillance System. See study protocol and results paper for more detail on recruitment and study procedures. Consented participants were observed in their usual daily activity every 2 months until birth. On the day of observation baseline anthropometric, maternal and fetal physiology measurements were taken. They were then fitted with a wearable device to, and proceeded to conduct their usual manual/farming tasks for the day. Hourly climate exposures were recorded. Maternal and fetal physiology was measured at mid- and end-point of the working shift. Pre- and post- bloods and urine were also collected for analysis. Birth outcome data was collected from antenatal cards or a visit within 72 hours of delivery. Data analysis and preparation: UTCI calculated using R package “rBiometeo” Wearable device data – use of inbuilt HR confidence data – kept if >85%, and summary values (hourly) as well as min, mean, median and max are given.
Data capture method Observation
Data Collection Period
FromTo
26 August 201917 December 2020
Date (Date submitted to LSHTM repository) 30 June 2023
Geographical area covered
North LatitudeEast LongitudeSouth LatitudeWest Longitude
13.4491-15.759113.2333-16.2611
Language(s) of written materials English
Data Creators Bonell, A, Badjie, J, Sonko, B, Prentice, AM, Haines, A, Maxwell, N, Hirst, J and Vicedo-cabrera, AM
LSHTM Faculty/Department MRC Unit The Gambia at LSHTM
Research Centre Centre on Climate Change and Planetary Health
Participating Institutions London School of Hygiene & Tropical Medicine, London, United Kingdom, MRC Unit The Gambia at LSHTM, Serekunda, The Gambia
Funders
ProjectFunderGrant NumberFunder URI
An observational Cohort study of heat strain and fetal wellbeing in pregnant farmers in The GambiaWellcome Trust216336/Z/19/Zhttp://dx.doi.org/10.13039/100010269
Date Deposited 30 Jun 2023 13:11
Last Modified 30 Jun 2023 13:14
Publisher London School of Hygiene & Tropical Medicine

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Filename: heat_preg_data.xlsx

Description: Dataset of participants included in field-based study of heat strain in pregnant farmers in The Gambia

Licence: Data Sharing Agreement

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Filename: hourly_heat_preg_data.xlsx

Description: Hourly data of environmental conditions, and physiology of maternal participants

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Filename: ICD_heat_strain_pregnancy_v3.pdf

Description: Participant information sheet for "An observational Cohort study of heat strain and fetal wellbeing in pregnant farmers in The Gambia"

Licence: Creative Commons: Attribution-No Derivative Works 4.0

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