Evidence map›Paper›PMID 41647858›Full record

ArticleThe journal of climate change and health

Comprehensive risk mapping for heatwave-sensitive chronic diseases mortality in Argentina: An approximation based on cardiovascular diseases.

Juan D Pinotti, Ximena Porcasi, Sonia A Pou, Camila Niclis, María I Stimolo, Laura R Aballay, Rubén Actis Danna, Sonia E Muñoz

Abstract read
In one paragraph

Article in The journal of climate change and health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Juan D PinottiInstituto de Altos Estudios Espaciales "Mario Gulich", Comisión Nacional de Actividades Espaciales, Universidad Nacional de Córdoba. Route C45, km 8, Falda del Cañete, Córdoba, Argentina.
Ximena PorcasiInstituto de Altos Estudios Espaciales "Mario Gulich", Comisión Nacional de Actividades Espaciales, Universidad Nacional de Córdoba. Route C45, km 8, Falda del Cañete, Córdoba, Argentina.
Sonia A PouInstituto de Investigaciones en Ciencias de la Salud (INICSA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Bv. De La Reforma s/n, Córdoba, Argentina.
Camila NiclisInstituto de Investigaciones en Ciencias de la Salud (INICSA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Bv. De La Reforma s/n, Córdoba, Argentina.
María I StimoloFacultad de Ciencias Económicas, Universidad Nacional de Córdoba y Centro de Ciencias Económicas, CIECS UNC-CONICET Bv. Enrique Barros s/n, Córdoba, Argentina.
Laura R AballayCentro de Investigaciones en Nutrición Humana (CenINH), Escuela de Nutrición, Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Bv. De La Reforma s/n, Córdoba, Argentina.
Rubén Actis DannaLaboratorio de Sistemas de Información Geográfica Facultad de Ciencias Exactas, Físicas y Naturales y Departamento de Geografía. Facultad de Filosofía y Humanidades. Universidad Nacional de Córdoba, Velez Sarsfield 299, Córdoba, Argentina.
Sonia E MuñozInstituto de Investigaciones en Ciencias de la Salud (INICSA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Bv. De La Reforma s/n, Córdoba, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Climate change poses increasing risks to human health, with heatwaves (HW) being a notable concern. This study pioneers the mapping of mortality risks associated with heat-sensitive Non-Communicable Diseases (NCDs) in Argentina, considering the simultaneous influence of HW and multiple underlying vulnerability factors. Materials and Methods: The study integrates data from the National Statistical System, climate reanalysis, and remote sensing products by following the methodology outlined by Argentina's Climate Change Risk Mapping System. Vulnerability dimensions, including sociodemographic, environmental, pre-existing chronic conditions, and lifestyle-related factors, were analyzed to provide spatially resolved risk assessments. A random-intercept mixed effects model was fitted to assess adherence between the risk map and mortality from a heat-related NCD. Results: Between 2006 and 2010, HW in Argentina displayed varied patterns in both intensity and extent. The vulnerability analyses reveal distinctive spatial patterns, with a notable broad diagonal from southwest to northeast. Maps indicate lower mortality risks in coastal and high-altitude areas of the northwest, with higher risks concentrated in the center-north of the country. Moreover, a positive association (RR 1·68; Discusion and conclusion: The resulting risk map, developed through a protocolized methodology, underscores the intricate connections among contextual conditions, lifestyle attributes, and health outcomes. The study contributes to the empirical evidence base for understanding the relationship between NCDs and HW.

Indexed as

Climate reanalysisHealth and climate nexusMixed effects modelNon-communicable diseases (NCDs)Spatial risk assessmentVulnerability mapping

Identifiers

PMID41647858
PMCPMC12851217

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LicenceCC BY-NC-ND
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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.