ArticleEnvironmental science & technology letters2025
Discrepancies Between Personal and Ambient Temperatures at Hourly Scale: Insights from Wearable Sensors and Environmental Modeling.
Article in Environmental science & technology letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
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Who cites it
1 citing paper in PubMed.
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Accurate assessment of personal exposure to ambient temperature is essential for understanding temperature-related health impacts. However, the bias from using ambient temperature estimates as proxies for personal exposure remains underexplored, particularly at the hourly scale. This study integrated wearable temperature sensors with a high-resolution (1 km, hourly) ambient temperature model to evaluate individual-level ambient exposure among 94 individuals in Connecticut, USA, monitored across seasons between October 2023 and January 2025. Personal temperature was consistently higher than ambient temperature, with a larger difference during cooler months. The hourly difference exhibited a distinct unimodal diurnal pattern, smallest in the early afternoon. Linear mixed-effects models identified ambient temperature, hour of day, month, solar radiation, and nightlight index as the key predictors of personal temperature and its deviation from ambient conditions. The temperature difference was well characterized by the model (marginal R
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Registered trials
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