Temperature exposure and sleep duration: Evidence from time use surveys.

Econ Hum Biol

HUN-REN Centre for Economic and Regional Studies, postal address: 1097 Tóth Kálmán u. 4., Budapest, Hungary. Electronic address:

Published: August 2024

The Earth's climate is projected to warm significantly in the 21st century, and this will affect human societies in many ways. Since sleep is a basic human need and part of everyone's life, the question of how temperature affects human sleep naturally arises. This paper examines the effect of daily mean temperature on sleep duration using nationally representative Hungarian time use surveys between 1976 and 2010. Compared to a day with an average temperature of 5-10 °C, colder temperatures do not influence sleep duration. However, as daily mean temperatures rise, sleep duration starts to strongly decline. The effect of a hot (>25 °C) day is -13.3 minutes, but if preceded by a few other hot days, the effect is even stronger, -24.7 minutes. The estimated sleep loss is especially large on weekends and public holidays, for older individuals, and men. Combining the estimated effects with temperature projections of twenty-four climate models shows that the warming climate will substantially decrease sleep duration. The projected impacts are especially large when taking into account the effects of heatwave days. This study also shows that different groups in society are likely to be affected in significantly different ways by a warming climate.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.ehb.2024.101401DOI Listing

Publication Analysis

Top Keywords

sleep duration
20
sleep
8
time surveys
8
warming climate
8
temperature
5
duration
5
temperature exposure
4
exposure sleep
4
duration evidence
4
evidence time
4

Similar Publications

Background: Dental caries (DC) is a significant common disease of the oral cavity. Recently, researchers have focused more on the impact of poor sleep habits on the incidence and development of DC, which aroused our interest in the study of the correlation and causal relationship between sleep and dental caries.

Methods: In this study, Linkage disequilibrium score (LDSC) regression method was used to found the genetic correlation between different sleep traits and DC, while bidirectional Mendelian randomization (MR) methods were used to explore the causal relationship.

View Article and Find Full Text PDF

A systematic review of passive data for remote monitoring in psychosis and schizophrenia.

NPJ Digit Med

January 2025

Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, M13 9PL, UK.

There is increasing use of digital tools to monitor people with psychosis and schizophrenia remotely, but using this type of data is challenging. This systematic review aimed to summarise how studies processed and analysed data collected through digital devices. In total, 203 articles collecting passive data through smartphones or wearable devices, from participants with psychosis or schizophrenia were included in the review.

View Article and Find Full Text PDF

Disturbance in sleep and activity rhythms are significant health risks associated with alcohol use during adolescence. Many investigators support the theory of a reciprocal relationship between disrupted circadian rhythms, sleep patterns, and alcohol usage. However, in human studies it is difficult to disentangle other factors (i.

View Article and Find Full Text PDF

Objective: One of the common symptoms of mood disorders is insomnia, and the recovery processes can be negatively impacted by a lack of restorative sleep. Although factors related to restorative sleep in healthy subjects have been investigated, evaluations of these factors in patients with depression have been rarely done. Patients with depression are known to have sleep-wake state discrepancy, which can further influence their restorative sleep beyond that associated with depressive symptoms.

View Article and Find Full Text PDF

Background: Insomnia is a prevalent sleep disorder affecting millions worldwide, with significant impacts on daily functioning and quality of life. While traditionally assessed through subjective measures such as the Insomnia Severity Index (ISI), the advent of wearable technology has enabled continuous, objective sleep monitoring in natural environments. However, the relationship between subjective insomnia severity and objective sleep parameters remains unclear.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!