ArticleBMC public health2026
Nighttime temperature and sleep duration in the Chinese population.
Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAmbient temperature influences sleep by modulating circadian thermoregulation. However, limited evidence exists regarding how extreme nighttime temperatures affect sleep in Chinese real-world settings.
methodsWe collected 1,245,817 sleep records from 7,682 participants between 2017 and 2019 using wearable devices. Hourly temperature data were obtained from the land component of the fifth generation of European Re-Analysis. We adopted the hot night excess (HNE) and cold night excess (CNE) to quantify the intensity of nocturnal thermal stress. HNE and CNE were obtained by calculating the excess sum of nighttime high and low temperatures during hot and cold seasons, respectively. We employed mixed-effects models to assess the impact of extreme hot nighttime temperatures during the hot season and extreme cold nighttime temperatures during the cold season on sleep. We applied a distributed lag non-linear model to adjust for lagged effects of daytime temperature. Subgroup analyses were conducted to identify susceptible populations.
resultsDuring the hot season, a 5 °C increase in hot night excess was associated with a 0.81-minute reduction in total sleep duration (95% CI: -1.32, -0.31), primarily driven by a decrease in light sleep (-0.77, 95% CI: -1.22, -0.31). Conversely, during the cold season, a 5 °C decrease in cold night excess was linked to a 0.81-minute increase in total sleep (95% CI: 0.05, 1.17), with both light sleep (0.44, 95% CI: 0.12, 0.76) and deep sleep (0.35, 95% CI: 0.17, 0.53). These effects generally remained consistent after adjusting for the lagged effects of daytime temperatures. Elderly and obese individuals were more vulnerable to heat-related sleep disruptions.
conclusionsThis study highlights the potential impact of climate change-induced nighttime warming on sleep and underscores the importance of optimizing thermal environments, particularly for the elderly and obese individuals, to enhance sleep duration during the hot season.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.