Evidence map›Paper›PMID 37047910›Full record

ArticleInternational journal of environmental research and public health2023

Effects of Cognitive Appraisals on Perceived Self-Efficacy and Distress during the COVID-19 Lockdown: An Empirical Analysis Based on Structural Equation Modeling.

Pierluigi Diotaiuti, Giuseppe Valente, Stefania Mancone, Stefano Corrado, Fernando Bellizzi, Lavinia Falese, Elisa Langiano, Guilherme Torres Vilarino, Alexandro Andrade

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
11.9field-weighted citation impact, top 1% of its field
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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

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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

9 authors at 2 institutions in 2 countries.

Pierluigi DiotaiutiDepartment of Human Sciences, Society and Health, University of Cassino and Southern Lazio, 03043 Cassino, Italy.ORCID 0000-0002-5470-3233
Giuseppe ValenteDepartment of Human Sciences, Society and Health, University of Cassino and Southern Lazio, 03043 Cassino, Italy.ORCID 0000-0001-5019-2053
Stefania ManconeDepartment of Human Sciences, Society and Health, University of Cassino and Southern Lazio, 03043 Cassino, Italy.ORCID 0000-0002-9837-526X
Stefano CorradoDepartment of Human Sciences, Society and Health, University of Cassino and Southern Lazio, 03043 Cassino, Italy.ORCID 0000-0003-2064-3372
Fernando BellizziDepartment of Human Sciences, Society and Health, University of Cassino and Southern Lazio, 03043 Cassino, Italy.
Lavinia FaleseDepartment of Human Sciences, Society and Health, University of Cassino and Southern Lazio, 03043 Cassino, Italy.ORCID 0000-0002-7767-6717
Elisa LangianoDepartment of Human Sciences, Society and Health, University of Cassino and Southern Lazio, 03043 Cassino, Italy.ORCID 0000-0002-1061-3746
Guilherme Torres VilarinoDepartment of Human Movement Science, Santa Catarina State University, Florianòpolis 88035-901, Brazil.ORCID 0000-0002-0879-6723
Alexandro AndradeDepartment of Human Movement Science, Santa Catarina State University, Florianòpolis 88035-901, Brazil.ORCID 0000-0002-6640-9314
Università degli studi di Cassino e del Lazio Meridionale · ITUniversidade do Estado de Santa Catarina · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the COVID-19 lockdown, individuals and households had to responsibly manage the difficulties and problems caused by the restrictions on their mobility, such as the interruptions to work schedules, insecure food supplies, and the procurement of services and health care. The perceptions of risk as well as the fear of disease were strongly linked to worry, defined as a sequence of thoughts that evoke negative emotions and elevated levels of anxiety and distress. This study evaluated how different cognitive appraisals of an individual's sources of worry could influence their perceived self-efficacy and directly or indirectly moderate their perceived general distress. A sample of 544 participants completed a survey that included questions based on the generalized self-efficacy scale, the sources of concern during the epidemic, the cognitive appraisal scale in emergency, and perceived discomfort. Subsequently, a structural-equation-modeling (SEM) analysis was performed to test the moderating role of cognitive appraisals and perceived self-efficacy on participants' overall distress during a lockdown. Overall, the model reported acceptable fit values and confirmed the hypotheses of the study. An individual's worries activated either a dysfunctional threat appraisal, which prompted a fear-and-closure response that then increased their overall state of distress; or two other functional appraisals (i.e., adaptive or supportive) that contributed to significantly improving the individual's self-efficacy. Higher self-efficacy was shown to be associated with lower levels of perceived distress. For the purposes of prevention and distress containment, it would be appropriate to promote psycho-educational interventions that promote the adoption of appraisal strategies that are functional and beneficial for perceived self-efficacy.

Indexed as

COVID-19Self EfficacyAdaptation, PsychologicalCognitionCommunicable Disease ControlHumansLatent Class AnalysisadjustmentCOVID-19 lockdowndistressgrowth appraisalsself-efficacySEMthreat appraisalworries

Identifiers

PMID37047910
PMCPMC10094671
OpenAlexW4361204751

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.