Evidence map›Paper›PMID 37938879›Full record

Observational studyJMIR mHealth and uHealth2023

Assessing the Effect of Extreme Weather on Population Health Using Consumer-Grade Wearables in Rural Burkina Faso: Observational Panel Study.

Mara Koch, Ina Matzke, Sophie Huhn, Ali Sié, Valentin Boudo, Guillaume Compaoré, Martina Anna Maggioni, Aditi Bunker, Till Bärnighausen, Peter Dambach and 1 more

Abstract readObservational Study
In one paragraph

Observational study in JMIR mHealth and uHealth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Using wearable devices to measure personal heat exposure in a preconception cohort.Journal of exposure science & environmental epidemiology · 2026
    Article
  2. Observational
  3. Article
  4. Article
  5. Review
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Mara KochHeidelberg Institute of Global Health, Faculty of Medicine, University Hospital, Heidelberg University, Heidelberg, Germany.ORCID 0000-0001-6579-0160
Ina MatzkeHeidelberg Institute of Global Health, Faculty of Medicine, University Hospital, Heidelberg University, Heidelberg, Germany.ORCID 0000-0001-7477-9609
Sophie HuhnHeidelberg Institute of Global Health, Faculty of Medicine, University Hospital, Heidelberg University, Heidelberg, Germany.ORCID 0000-0002-7728-7156
Ali SiéHeidelberg Institute of Global Health, Faculty of Medicine, University Hospital, Heidelberg University, Heidelberg, Germany.ORCID 0000-0002-3959-2520
Valentin BoudoCentre de Recherche en Santé, Nouna, Burkina Faso.ORCID 0000-0001-6194-6164
Guillaume CompaoréCentre de Recherche en Santé, Nouna, Burkina Faso.ORCID 0000-0002-4559-1751
Martina Anna MaggioniCharité - Universitätsmedizin Berlin, Institute of Physiology, Center for Space Medicine and Extreme Environments Berlin, Berlin, Germany.ORCID 0000-0002-6319-8566
Aditi BunkerHeidelberg Institute of Global Health, Faculty of Medicine, University Hospital, Heidelberg University, Heidelberg, Germany.ORCID 0000-0001-5906-156X
Till BärnighausenHeidelberg Institute of Global Health, Faculty of Medicine, University Hospital, Heidelberg University, Heidelberg, Germany.ORCID 0000-0002-4182-4212
Peter DambachHeidelberg Institute of Global Health, Faculty of Medicine, University Hospital, Heidelberg University, Heidelberg, Germany.ORCID 0000-0002-1086-6866
Sandra BarteitHeidelberg Institute of Global Health, Faculty of Medicine, University Hospital, Heidelberg University, Heidelberg, Germany.ORCID 0000-0002-3806-6027

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExtreme weather, including heat and extreme rainfall, is projected to increase owing to climate change, which can have adverse impacts on human health. In particular, rural populations in sub-Saharan Africa are at risk because of a high burden of climate-sensitive diseases and low adaptive capacities. However, there is a lack of data on the regions that are anticipated to be most exposed to climate change. Improved public health surveillance is essential for better decision-making and health prioritization and to identify risk groups and suitable adaptation measures. Digital technologies such as consumer-grade wearable devices (wearables) may generate objective measurements to guide data-driven decision-making.

objectiveThe main objective of this observational study was to examine the impact of weather exposure on population health in rural Burkina Faso using wearables. Specifically, this study aimed to assess the relationship between individual daily activity (steps), sleep duration, and heart rate (HR), as estimated by wearables, and exposure to heat and heavy rainfall.

methodsOverall, 143 participants from the Nouna health and demographic surveillance system in Burkina Faso wore the Withings Pulse HR wearable 24/7 for 11 months. We collected continuous weather data using 5 weather stations throughout the study region. The heat index and wet-bulb globe temperature (WBGT) were calculated as measures of heat. We used linear mixed-effects models to quantify the relationship between exposure to heat and rainfall and the wearable parameters. Participants kept activity journals and completed a questionnaire on their perception of and adaptation to heat and other weather exposure.

resultsSleep duration decreased significantly (P<.001) with higher heat exposure, with approximately 15 minutes shorter sleep duration during heat stress nights with a heat index value of ≥25 °C. Many participants (55/137, 40.1%) reported that heat affected them the most at night. During the day, most participants (133/137, 97.1%) engaged in outdoor physical work such as farming, housework, or fetching water. During the rainy season, when WBGT was highest, daily activity was highest and increased when the daily maximum WBGT surpassed 30 °C during the rainiest month. In the hottest month, daily activity decreased per degree increase in WBGT for values >30 °C. Nighttime HR showed no significant correlation with heat exposure. Daytime HR data were insufficient for analysis. We found no negative health impact associated with heavy rainfall. With increasing rainfall, sleep duration increased, average nightly HR decreased, and activity decreased.

conclusionsDuring the study period, participants were frequently exposed to heat and heavy rainfall. Heat was particularly associated with impaired sleep and daily activity. Essential tasks such as harvesting, fetching water, and caring for livestock expose this population to weather that likely has an adverse impact on their health. Further research is essential to guide interventions safeguarding vulnerable communities.

Indexed as

Extreme WeatherPopulation HealthBurkina FasoHumansRural PopulationWaterWateractivityclimate changeconsumer-grade wearableglobal healthheart rateheatmobile phonepublic healthrainsleepsub-Saharan Africawearableweather

Identifiers

PMID37938879
PMCPMC10666008

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.