Evidence map›Paper›PMID 30798365›Full record

ArticleInternational journal of biometeorology2019

Effects of extreme temperatures on cerebrovascular mortality in Lisbon: a distributed lag non-linear model.

Mónica Rodrigues, Paula Santana, Alfredo Rocha

Abstract read
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In one paragraph

Article in International journal of biometeorology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. The Impact of Ambient Temperature on Cardiorespiratory Mortality in Northern Greece.International journal of environmental research and public health · 2022
    Article
  7. Effects of Environmental and Socioeconomic Inequalities on Health Outcomes: A Multi-Region Time-Series Study.International journal of environmental research and public health · 2022
    Article
  8. Mortality Related to Air Temperature in European Cities, Based on Threshold Regression Models.International journal of environmental research and public health · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Regional Temperature-Sensitive Diseases and Attributable Fractions in China.International journal of environmental research and public health · 2019
    Article
  15. Overview of Existing Heat-Health Warning Systems in Europe.International journal of environmental research and public health · 2019
    Review
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Mónica RodriguesCentre of Studies on Geography and Spatial Planning, Department of Geography and Tourism, University of Coimbra, Coimbra, Portugal. monica.a.rodrigues@hotmail.com.
Paula SantanaCentre of Studies on Geography and Spatial Planning, Department of Geography and Tourism, University of Coimbra, Coimbra, Portugal.
Alfredo RochaCentre for Environmental and Marine Studies, Department of Physics, University of Aveiro, Aveiro, Portugal.

Funding

European Regional Development Funds, through the COMPETE 2020 - Operational Programme `Competitiveness and Internationalization' and by National Funds through the Portuguese Foundation for Science and Technology (FCT) Grant POCI-01-0145- FEDER-006891; Grant UID/GEO/04084/2013
6 · The paper itself

Abstract

Cerebrovascular diseases are the leading cause of mortality in Portugal, especially when related with extreme temperatures. This study highlights the impacts of the exposure-response relationship or lagged effect of low and high temperatures on cerebrovascular mortality, which can be important to reduce the health burden from cerebrovascular diseases. The purpose of this study was to assess the effects of weather on cerebrovascular mortality, measured by ambient temperature in the District of Lisbon, Portugal. A quasi-Poisson generalized additive model combined with a distributed lag non-linear model was applied to estimate the delayed effects of temperature on cerebrovascular mortality up to 30 days. With reference to minimum mortality temperature threshold of 22 °C, there was a severe risk (RR = 2.09, 95% CI 1.74, 2.51) of mortality for a 30-day-cumulative exposure to extreme cold temperatures of 7.3 °C (1st percentile). Similarly, the cumulative effect of a 30-day exposure to an extreme hot temperature of 30 °C (99th percentile) was 52% (RR = 1.65, 95% CI 1.37, 1.98) higher than same-day exposure. Over the 13 years of study, non-linear effects of temperature on mortality were identified, and the probability of dying from cerebrovascular disease in Lisbon was 7% higher in the winter than in the summer. The findings of this study provide a baseline for future public health prevention programs on weather-related mortality.

Indexed as

Nonlinear DynamicsCerebrovascular DisordersCitiesExtreme ColdExtreme HeatHumansPortugalCerebrovascular diseasesDistributed lag non-linear model (DLNM)Extreme temperaturesLag effectsPortugal

Identifiers

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Registered trials

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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 OpenQuestion graph.