Evidence map›Paper›PMID 38719938›Full record

ArticleScientific reports2024

Identification of maladaptive behavioural patterns in response to extreme weather events.

Luisa Eusse-Villa, Carolina Bonardi Pellizzari, Cristiano Franceschinis, Mara Thiene, Marco Borga, Anna Scolobig

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Luisa Eusse-VillaLand, Environment, Agriculture and Forestry Department, University of Padova, Legnaro, Italy. luisafernanda.eussevilla@phd.unipd.it.
Carolina Bonardi PellizzariLand, Environment, Agriculture and Forestry Department, University of Padova, Legnaro, Italy.
Cristiano FranceschinisLand, Environment, Agriculture and Forestry Department, University of Padova, Legnaro, Italy.
Mara ThieneLand, Environment, Agriculture and Forestry Department, University of Padova, Legnaro, Italy.
Marco BorgaLand, Environment, Agriculture and Forestry Department, University of Padova, Legnaro, Italy.
Anna ScolobigInstitute for Environmental Sciences, University of Geneva, Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human behaviour has gained recognition as a critical factor in addressing climate change and its impacts. With extreme weather events posing risks to vulnerable communities, understanding cognitive processes driving behaviours becomes essential for effective risk communication. This study focuses on the 2018 "Vaia" storm, which brought unprecedented precipitation and wind velocity to the mountainous regions of North-eastern Italy. Drawing upon the Protection Motivation Theory (PMT) framework, we employ probabilistic models to identify distinct groups with similar behavioural profiles. By administering a web-based survey to 1500 residents affected by the event, we find that threat appraisal is more influential in shaping protective behaviours than coping appraisal. Our findings indicate that by enhancing coping appraisals and discouraging non-protective measures, we can actively mitigate maladaptive responses and promote the adoption of effective adaptation strategies.

Indexed as

Adaptation, PsychologicalAdultClimate ChangeExtreme WeatherFemaleHumansItalyMaleMiddle AgedSurveys and QuestionnairesWeather

Identifiers

PMID38719938
PMCPMC11078959

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.