Evidence map›Paper›PMID 34557928›Full record

ArticleJournal of rehabilitation medicine2021

Structure and conceptualization of acceptance: a split-sample exploratory and confirmatory factor analysis approach to investigate the multidimensionality of acceptance of spinal cord injury.

Anders Aaby, Sophie Lykkegaard Ravn, Helge Kasch, Tonny Elmose Andersen

Open access · goldAbstract read
In one paragraph

Article in Journal of rehabilitation medicine, 2021. 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
3.4field-weighted citation impact, top 7% 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

5 citing papers in PubMed, 11 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

4 authors at 2 institutions in 1 country.

Anders AabyDepartment of Psychology, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark. aaaby@health.sdu.dk.
Sophie Lykkegaard Ravn
Helge Kasch
Tonny Elmose Andersen
University of Southern Denmark · DKAarhus University · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the multidimensionality of acceptance of spinal cord injury (SCI).

participantsAdults with SCI who were admitted to an SCI centre between 1991 and 2020.

methodsAll eligible participants (n=686) were invit-ed to complete a survey via REDCap. A 4-dimensional model was hypothesized, which included "Accepting Reality", "Value Change", "Letting Go of Control" and "Behavioural Engagement". Items from 3 accept-ance scales were selected to collectively reflect these 4 dimensions: (i) Spinal Cord Lesion-related Coping Strategies Questionnaire, (ii) Coping Orientations to Problems Experienced, and (iii) a modified Acceptance and Action Questionnaire. A split-sample principal component analysis (PCA) and confirmatory factor analysis (CFA) approach was used.

resultsComplete data were provided by 431 participants (62.8%). A PCA on sub-sample one suggest-ed a 4-factor model based on eigenvalues ≥ 1, corresponding to the hypothesized model of acceptance. A CFA on sub-sample 2 showed good model fit, adding further support to the model.

conclusionThese findings suggest that acceptance is a multidimensional construct with 4 facets that represent distinct, but interconnected, psychological processes. This model of acceptance can be used as a framework for future research and clinical practice to deepen our understanding of acceptance processes following severe injuries, such as SCI.

Indexed as

Adaptation, PsychologicalConcept FormationAdultAgedAged, 80 and overFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedSpinal Cord InjuriesSurveys and Questionnaires

Identifiers

PMID34557928
PMCPMC8638728
OpenAlexW3200998732

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.