Spatiotemporal Variations in Human Birth Weight Are Associated with Multiple Thermal Indices

Human populations are scattered worldwide and live under widely different climates. Like other mammals, humans respond to climatic influences through various processes involving behavior, physiology, and various forms of adaptation. Human populations can be explored in investigating patterns of adaptation because many of their biological attributes have been monitored for over a century. Here, we evaluated the association between several thermal indices and human birth weight (BW) and offered some initial observations on the temporal integration of thermal cues associated with pregnancy outcomes. We compiled three datasets: (1) a dataset with global coverage of recent BWs; (2) an extended time series for seven European countries; and (3) a time series for four countries in equatorial Africa. Each dataset was analyzed for associations between BW and mean annual temperature, as well as seasonal and daily amplitudes. Mean annual temperatures, as well as seasonal and daily amplitudes, delivered consistent and comparable impacts in our analyses. The thermal indices can explain approx. 80% of the global variation in BW and 25–50% of the BW variation in time series covering the last 70 to 120 years. Mean BW in larger aggregates of humans (i.e., millions) is associated with several thermal indices, likely associated with systematic differences in proximate factors (e.g., maternal height, weight, food intake) between populations. This study underlines the diverse impact of the thermal environment on human reproduction, but it also underscores that this impact is less pronounced for differences in mean BW with respect to different communities, and it is possibly undetectable and/or irrelevant with respect to differences between individuals.

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Publication Details

Journal
Atmosphere
Published
2025-05-09
DOI
https://doi.org/10.3390/atmos16050569
Citations
1
Primary Topic
Climate Change and Health Impacts
Type
article
Field-Weighted Citation Impact
1.20
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article

Spatiotemporal Variations in Human Birth Weight Are Associated with Multiple Thermal Indices

P. Jensen, Marten Sørensen
1 citations
Atmosphere
Climate Change and Health Impacts
1.20
article

Spatiotemporal Variations in Human Birth Weight Are Associated with Multiple Thermal Indices

P. Jensen, Marten Sørensen
article en
1 citations

Abstract

Human populations are scattered worldwide and live under widely different climates. Like other mammals, humans respond to climatic influences through various processes involving behavior, physiology, and various forms of adaptation. Human populations can be explored in investigating patterns of adaptation because many of their biological attributes have been monitored for over a century. Here, we evaluated the association between several thermal indices and human birth weight (BW) and offered some initial observations on the temporal integration of thermal cues associated with pregnancy outcomes. We compiled three datasets: (1) a dataset with global coverage of recent BWs; (2) an extended time series for seven European countries; and (3) a time series for four countries in equatorial Africa. Each dataset was analyzed for associations between BW and mean annual temperature, as well as seasonal and daily amplitudes. Mean annual temperatures, as well as seasonal and daily amplitudes, delivered consistent and comparable impacts in our analyses. The thermal indices can explain approx. 80% of the global variation in BW and 25–50% of the BW variation in time series covering the last 70 to 120 years. Mean BW in larger aggregates of humans (i.e., millions) is associated with several thermal indices, likely associated with systematic differences in proximate factors (e.g., maternal height, weight, food intake) between populations. This study underlines the diverse impact of the thermal environment on human reproduction, but it also underscores that this impact is less pronounced for differences in mean BW with respect to different communities, and it is possibly undetectable and/or irrelevant with respect to differences between individuals.

AtmosphereVol. 16(5)
University of Copenhagen (DK)
Openalex Percentile: Top 23%
Climate Change and Health Impacts
1.20
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