Evidence map›Paper›PMID 39338041›Full record

ArticleInternational journal of environmental research and public health2024

A Follow up on the Continuum Theory of Eco-Anxiety: Analysis of the Climate Change Anxiety Scale Using Item Response Theory among French Speaking Population.

Taha Hannachi, Sonya Yakimova, Alain Somat

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 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

3 authors.

Taha HannachiLaboratory of Psychology, Cognition, Behaviour, Communication (LP3C), Department of Psychology, Faculty of Human Science, Rennes 2 University, 35000 Rennes, France.ORCID 0009-0008-3710-0562
Sonya YakimovaLaboratory of Psychology, Cognition, Behaviour, Communication (LP3C), Department of Psychology, Faculty of Human Science, Rennes 2 University, 35000 Rennes, France.ORCID 0000-0001-8638-1702
Alain SomatLaboratory of Psychology, Cognition, Behaviour, Communication (LP3C), Department of Psychology, Faculty of Human Science, Rennes 2 University, 35000 Rennes, France.ORCID 0000-0003-1415-1777

Funding

Region of Brittany 0Rennes 2 university 0
6 · The paper itself

Abstract

The mental health impact of the environmental crisis, particularly eco-anxiety, is a growing research topic whose measurement still lacks consensus. This study aims to use item response theory (IRT) to gain a deeper understanding of the constructs measured by existing questionnaires. To conduct this review, we applied the graded response model with the help of the MIRT package in R on open-access data from the short French version of the Climate Change Anxiety Questionnaire, which measures cognitive-emotional impairment and functional impairment. The models tested in this study are the one, two, and three-factor models, and the bifactor model. After model selection, the psychometric properties of the selected model were tested. Our results suggest that the unidimensional model seems to be the most appropriate for measuring eco-anxiety. The item difficulty parameter extracted from the IRT enabled us to discuss the severity levels of the items comprising this tool. The Climate Change Anxiety Questionnaire appears to be more appropriate for measuring moderate to severe eco-anxiety. Avenues for improving this questionnaire and the measurement of eco-anxiety in general are then discussed.

Indexed as

AnxietyClimate ChangeAdultAgedFemaleFranceHumansMaleMiddle AgedPsychometricsSurveys and Questionnairesclimate change anxiety scalecontinuumeco-anxietyitem response theory

Identifiers

PMID39338041
PMCPMC11431234

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.