MétaCan
Menu
Back to cohort
Record W7116788596 · doi:10.1016/j.lanplh.2025.101344

Physical effort during labour and behavioural adaptations in response to heat stress among subsistence farmers in Burkina Faso: a gender-specific longitudinal observational study

2025· article· en· W7116788596 on OpenAlexfundno aff
EE Eggert, Hanns-Christian Gunga, A.B. Sie, Lucienne Ouèrmi, Windpanga Aristide Ouédraogo, Daniel Kwaro, Rainer Sauerborn, Aditi Bunker, Sandra Barteit, Till Bärnighausen, Martina Anna Maggioni

Bibliographic record

VenueThe Lancet Planetary Health · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Health Impacts
Canadian institutionsnot available
FundersFonds de Recherche du Québec - SantéDeutsche Forschungsgemeinschaft
KeywordsSubsistence agricultureObservational studyHeat stressLongitudinal dataLongitudinal studyStress (linguistics)

Abstract

fetched live from OpenAlex

BACKGROUND: Climate change-related heat stress disproportionately affects people in sub-Saharan Africa, impairing physical performance and increasing the risk of heat-related illnesses. Despite subsistence farming's key role in food security, scarce studies have measured farmers' physical effort during labour and the impact of behavioural adaptations to heat stress in real-life settings. This long-term, empirical study in Burkina Faso, one of the world's resource-poorest countries, aimed to measure the heat stress-labour effort relationships among subsistence farmers, accounting for gender-related differences in labour roles. METHODS: We conducted a 1-year observational study using the Nouna Health and Demographic Surveillance System in Burkina Faso. We included participants who were healthy, actively practising farmers aged 20-45 years who were neither overweight nor underweight, had no chronic illnesses, no planned pregnancy or breastfeeding status, and resided within a 10-km radius of the weather station. Using research-grade wearables, we collected time-series data on environmental conditions, tracking indoor and outdoor wet-bulb globe temperature (WBGT) and physiological responses such as daily activity, estimated core body temperature, heart rate, and GPS-tracked movements. To operationalise physical effort during labour, we evaluated the physiological strain index (PSI; 0-10 scale with 10 being highest strain) and activity intensity during fieldwork, measured as functions of WBGT. Behavioural adaptations were measured using working patterns including work duration, break times, and seasonal work distribution. The main outcomes are compared across genders and complemented by analyses of monthly vital sign assessments and heat impact surveys. FINDINGS: Between Aug 9, 2021, and Aug 30, 2022, we recruited 39 subsistence farmer households (39 women, 39 men). One household dropped out of follow-up, and 38 households (76 participants [38 men, 38 women]) were included in the analysis. During fieldwork, PSI decreased as WBGT increased (-0·04 [95% CI -0·07 to -0·01], p=0·0056), suggesting adaptive pacing. Men reduced their average activity intensity once WBGT exceeded 27°C. By contrast, women experienced a higher PSI and activity intensity during fieldwork than men (PSI: 0·47 [0·07-0·87], p=0·025). Each 1°C WBGT rise extended daily working time by 12·3 min (95% CI 2·75-21·89, p=0·013) and participants shifted work patterns in response to heat stress by increasing break duration and shifting work to cooler times. INTERPRETATION: Heat stress significantly reduces the physical effort during labour. Self-employed subsistence farmers appear to adapt to heat stress by lowering labour intensity, redistributing tasks throughout the day, and shifting work to cooler months. As climate change worsens, these adaptations could become inadequate. Women, who often balance household chores and fieldwork, have limited pacing strategies, heightening their vulnerability to increasing heat stress. Our findings highlight the urgent need for targeted adaptation strategies to sustain physical effort during labour and protect vulnerable groups, especially women, from escalating heat stress. FUNDING: Deutsche Forschungsgemeinschaft (DFG-German Research Foundation).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.177
GPT teacher head0.353
Teacher spread0.176 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueThe Lancet Planetary HealthSame topicClimate Change and Health ImpactsFrench-language works237,207