Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 129

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Effects of Hot Nights on Mortality in Southern Europe

Royé, Dominic, Sera, Francesco, Tobías, Aurelio, Lowe, Rachel, Gasparrini, Antonio, Pascal, Mathilde, de’Donato, Francesca, Nunes, Baltazar, Teixeira, Joao Paulo·2021·Epidemiology

Abstract

Background: There is strong evidence concerning the impact of heat stress on mortality, particularly from high temperatures. However, few studies to our knowledge emphasize the importance of hot nights, which may prevent necessary nocturnal rest. Objectives: In this study, we use hot-night duration and excess to predict daily cause-specific mortality in summer, using multiple cities across Southern Europe. Methods: We fitted time series regression models to summer cause-specific mortality, including natural, respiratory, and cardiovascular causes, in 11 cities across four countries. We included a distributed lag nonlinear model with lags up to 7 days for hot night duration and excess adjusted by daily mean temperature. We summarized city-specific associations as overall-cumulative exposure–response curves at the country level using meta-analysis. Results: We found positive but generally nonlinear associations between relative risk (RR) of cause-specific mortality and duration and excess of hot nights. RR of duration associated with nonaccidental mortality in Portugal was 1.29 (95% confidence interval [CI] = 1.07, 1.54); other associations were imprecise, but we also found positive city-specific estimates for Rome and Madrid. Risk of hot-night excess ranged from 1.12 (95% CI = 1.05, 1.20) for France to 1.37 (95% CI = 1.26, 1.48) for Portugal. Risk estimates for excess were consistently higher than for duration. Conclusions: This study provides new evidence that, over a wider range of locations, hot night indices are strongly associated with cause-specific deaths. Modeling the impact of thermal characteristics during summer nights on mortality could improve decisionmaking for preventive public health strategies.

Overview

Integrity signals

Registry

Crossref · 10.1097/ede.0000000000001359

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 5 references

Research works printed but not linked: 41

  1. Gasparrini, 2015, Mortality risk attributable to high and low ambient temperature: a multicountry observational study., Lancet, 386, 369, 10.1016/S0140-6736(14)62114-0 · DOI · Paper page
  2. Gasparrini, 2017, Projections of temperature-related excess mortality under climate change scenarios., Lancet Planet Health, 1, e360, 10.1016/S2542-5196(17)30156-0 · DOI · Paper page
  3. Guo, 2017, Heat wave and mortality: a multicountry, multicommunity study., Environ Health Perspect, 125, 087006, 10.1289/EHP1026 · DOI
  4. Coumou, 2013, Historic and future increase in the global land area affected by monthly heat extremes., Environ Res Lett, 8, 034018, 10.1088/1748-9326/8/3/034018 · DOI
  5. Guerreiro, 2018, Future heatwaves, droughts and floods in 571 European cities., Environ Res Lett, 13, 034009, 10.1088/1748-9326/aaaad3 · DOI
  6. Guo, 2018, Quantifying excess deaths related to heatwaves under climate change scenarios: a multicountry time series modelling study., PLoS Med, 15, e1002629, 10.1371/journal.pmed.1002629 · DOI
  7. Lim, 2012, Effects of diurnal temperature range on cardiovascular and respiratory hospital admissions in Korea., Sci Total Environ, 417–418, 55, 10.1016/j.scitotenv.2011.12.048 · DOI
  8. Luo, 2013, Lagged effect of diurnal temperature range on mortality in a subtropical megacity of China., PLOS ONE, 8, e55280, 10.1371/journal.pone.0055280 · DOI
  9. Rooney, 1995, Excess mortality in England and Wales, and in Greater London, during the 1995 heatwave., J. Epidemiol. Community Health, 52, 482, 10.1136/jech.52.8.482 · DOI
  10. Buguet, 2007, Sleep under extreme environments: effects of heat and cold exposure, altitude, hyperbaric pressure and microgravity in space., J Neurol Sci, 262, 145, 10.1016/j.jns.2007.06.040 · DOI
  11. Joshi, 2016, The importance of temperature and thermoregulation for optimal human sleep., Energy Build, 131, 153, 10.1016/j.enbuild.2016.09.020 · DOI
  12. Lan, 2017, Thermal environment and sleep quality: a review., Energy Build, 149, 101, 10.1016/j.enbuild.2017.05.043 · DOI
  13. Obradovich, 2017, Nighttime temperature and human sleep loss in a changing climate., Sci Adv, 3, e1601555, 10.1126/sciadv.1601555 · DOI · Paper page
  14. Royé, 2017, The effects of hot nights on mortality in Barcelona, Spain., Int J Biometeorol, 61, 2127, 10.1007/s00484-017-1416-z · DOI
  15. Murage, 2017, Effect of night-time temperatures on cause and age-specific mortality in London., Environ Epidemiol, 1, e005, 10.1097/EE9.0000000000000005 · DOI
  16. Laaidi, 2012, The impact of heat islands on mortality in Paris during the August 2003 heat wave., Environ Health Perspect, 120, 254, 10.1289/ehp.1103532 · DOI
  17. Díaz, 2015, Geographical variation in relative risks associated with heat: update of Spain’s heat wave prevention plan., Environ Int, 85, 273, 10.1016/j.envint.2015.09.022 · DOI
  18. Tobías, 2010, Short-term effects of extreme hot summer temperatures on total daily mortality in Barcelona, Spain., Int J Biometeorol, 54, 115, 10.1007/s00484-009-0266-8 · DOI
  19. Alexander, 2006, Global observed changes in daily climate extremes of temperature and precipitation., J Geophys Res, 111, D05, 10.1029/2005JD006290 · DOI · Paper page
  20. Gasparrini, 2011, Distributed Lag Linear and Non-Linear Models in R: The Package dlnm., J Stat Softw, 43, 1, 10.18637/jss.v043.i08 · DOI
  21. Gasparrini, 2014, Modeling exposure-lag-response associations with distributed lag non-linear models., Stat Med, 33, 881, 10.1002/sim.5963 · DOI
  22. Buckley, 2014, Commentary: does air pollution confound studies of temperature?, Epidemiology, 25, 242, 10.1097/EDE.0000000000000051 · DOI
  23. Gasparrini, 2010, Distributed lag non-linear models., Stat Med, 29, 2224, 10.1002/sim.3940 · DOI · Paper page
  24. Sera, 2019, An extended mixed-effects framework for meta-analysis., Stat Med, 38, 5429, 10.1002/sim.8362 · DOI
  25. Haskella, 1981, The effects of high and low ambient temperatures on human sleep stages., Clin. Neurophysiol, 51, 494, 10.1016/0013-4694(81)90226-1 · DOI
  26. Okamoto-Mizuno, 2012, Effects of thermal environment on sleep and circadian rhythm., J Physiol Anthropol, 31, 14, 10.1186/1880-6805-31-14 · DOI
  27. Okamoto-Mizuno, 2005, Effects of humid heat exposure in later sleep segments on sleep stages and body temperature in humans., Int J Biometeorol, 49, 232, 10.1007/s00484-004-0237-z · DOI
  28. Nastos, 2008, Human-biometeorological effects on sleep disturbances in Athens, Greece: a preliminary evaluation., Indoor Built Environ, 17, 535, 10.1177/1420326X08097706 · DOI
  29. Fujii, 2015, Fatigue and sleep under large summer temperature differences., Environ Res, 138, 17, 10.1016/j.envres.2015.02.006 · DOI
  30. Nagai, 2010, Sleep duration as a risk factor for cardiovascular disease- a review of the recent literature., Curr Cardiol Rev, 6, 54, 10.2174/157340310790231635 · DOI
  31. Cappuccio, 2011, Sleep duration predicts cardiovascular outcomes: a systematic review and meta-analysis of prospective studies., Eur Heart J, 32, 1484, 10.1093/eurheartj/ehr007 · DOI · Paper page
  32. Palagini, 2013, Sleep loss and hypertension: a systematic review., Curr Pharm Des, 19, 2409, 10.2174/1381612811319130009 · DOI
  33. Tobias, 2012, Mortality on extreme heat days using official thresholds in Spain: a multi-city time series analysis., BMC Public Health, 12, 133, 10.1186/1471-2458-12-133 · DOI
  34. Aström, 2013, Heat-related respiratory hospital admissions in Europe in a changing climate: a health impact assessment., BMJ Open, 3, e001842, 10.1136/bmjopen-2012-001842 · DOI
  35. Basagaña, 2011, Heat waves and cause-specific mortality at all ages., Epidemiology, 22, 765, 10.1097/EDE.0b013e31823031c5 · DOI
  36. Zhang, 2016, The short-term effect of ambient temperature on mortality in Wuhan, China: a time-series study using a distributed lag non-linear model., Int J Environ Res Public Health, 13, 722, 10.3390/ijerph13070722 · DOI
  37. Gosling, 2017, Adaptation to climate change: a comparative analysis of modeling methods for heat-related mortality., Environ Health Perspect, 125, 087008, 10.1289/EHP634 · DOI
  38. Thomson, 2019, Energy poverty and indoor cooling: an overlooked issue in Europe., Energy Build, 196, 21, 10.1016/j.enbuild.2019.05.014 · DOI
  39. Pezzutto, 2016, Future development of the air-conditioning market in Europe: an outlook until 2020., WIREs Energy Environ, 5, 649, 10.1002/wene.210 · DOI
  40. Quinn, 2017, Predictors of summertime heat index levels in New York City apartments., Indoor Air, 27, 840, 10.1111/ina.12367 · DOI
  41. Sera, 2020, Air conditioning and heat-related mortality: a multi-country longitudinal study., Epidemiology, 31, 779, 10.1097/EDE.0000000000001241 · DOI

Cited by

Metadata

Authors
Royé, D., Sera, F., Tobías, A., Lowe, R., Gasparrini, A., Pascal, M., de’Donato, F., Nunes, B., & Teixeira, J. P.
Affiliations
  • Department of Geography, University of Santiago de Compostela, Santiago de Compostela, Spain
  • Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom
  • Institute of Environmental Assessment and Water Research (IDAEA), Spanish Council for Scientific Research (CSIC), Barcelona, Spain
  • Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom
  • Santé Publique France, Department of Environmental Health, French National Public Health Agency, Saint Maurice, France
  • Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
  • Department of Epidemiology, Instituto Nacional de Saúde Dr Ricardo Jorge, Lisbon, Portugal
  • Department of Environmental Health, Instituto Nacional de Saúde Dr Ricardo Jorge, Lisbon, Portugal.
Venue
Epidemiology
Published
2021-04-02
Volume
32
Issue
4
Pages
487-498
ISSN
1044-3983
Cited by
129
References
5
Language
en

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.