Evidence map›Paper›PMID 30847575›Full record

ArticleInternational journal of biometeorology2019

Excess winter mortality and morbidity before, during, and after the Great Recession: the Portuguese case.

Ricardo Almendra, Julian Perelman, Joao Vasconcelos, Paula Santana

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Developing a Cold-Related Mortality Database in Bangladesh.International journal of environmental research and public health · 2022
    Article
  4. Article
  5. Health Disparities in Czechia and Portugal at Country and Municipality Levels.International journal of environmental research and public health · 2019
    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

4 authors.

Ricardo AlmendraCentre of Studies in Geography and Spatial Planning, University of Coimbra, Coimbra, Portugal. Ricardoalmendra85@gmail.com.ORCID http://orcid.org/0000-0002-2712-9643
Julian PerelmanEscola Nacional de Saúde Pública, Universidade Nova de Lisboa, Lisbon, Portugal.
Joao VasconcelosPolytechnic Institute of Leiria, IGOT/CEG Universidade de Lisboa, Lisbon, Portugal.
Paula SantanaCentre of Studies on Geography and Spatial Planning, Department of Geography, University of Coimbra, Coimbra, Portugal.

Funding

Portuguese national funding agency for science, research and technology SFRH/BD/92568/2013
6 · The paper itself

Abstract

Although winter mortality and morbidity are phenomena common to most European countries, their magnitude varies significantly from country to country. The geographical disparities among regions with similar climates are the result of several social, economic, demographic, and biological conditions that influence an individual's vulnerability to winter conditions. The impact of poor socioeconomic conditions may be of such magnitude that an economic recession may aggravate the seasonal mortality pattern. This paper aims to measure the seasonal winter mortality, morbidity, and their related costs during the Great Recession (2009-2012) in mainland Portugal and its Regional Health Administrations (RHAs) and to compare it with the periods preceding and following it. Monthly mortality and morbidity data were collected and clustered into three periods: Great Recession (2009-2012), Pre-Recession (2005-2008), and Post-Recession (2013-2016). The impact of seasonal winter mortality and morbidity during the Great Recession in Portugal and its Regional Health Administrations was measured through the assessment of age-standardized excess winter (EW) death and hospital admissions rate and index, expected life expectancy gains without EW deaths, EW rate of potential years of life lost, and EW rate of emergency hospital admission costs. Important increases of winter deaths and hospital admissions were identified, resulting in an important number of potential years of life lost (87 years of life lost per 100,000 inhabitants in 2009-2012), life expectancy loss (1 year in 2009-2012), and National Health Service costs with explicit temporal and spatial variations. These human and economic costs have decreased consistently during the analyzed periods, while no significant increase was found during the Great Recession. Despite its reduction, the winter excess morbidity and mortality highlight that Portugal still faces substantial challenges related to a highly vulnerable population, calling for investments in better social and health protection.

Indexed as

ClimateMortalityEuropeHumansMorbidityPortugalSeasonsEconomic crisisExcess winter morbidityExcess winter mortalityGreat Recession

Identifiers

What OpenQuestion holds

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Registered trials

None linked

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.