Evidence map›Paper›PMID 35524201›Full record

ArticleBMC public health2022

Validation of the medium and short version of CENSOPAS-COPSOQ: a psychometric study in the Peruvian population.

Martha R Lucero-Perez, Iselle Sabastizagal, Jonh Astete-Cornejo, Miguel Angel Burgos, David Villarreal-Zegarra, Salvador Moncada

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Psychometric Analysis of the Quarantine Coping Strategies Scale (Q-COPE) in the Spanish Language.International journal of environmental research and public health · 2022
    Article
  6. Working and health conditions in teleworkers in mandatory social isolation due to COVID-19: exploratory survey in Lima and Callao.Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMT
    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.

Martha R Lucero-PerezInstituto Nacional de Salud, Lima, Peru.ORCID 0000-0001-6173-7557
Iselle SabastizagalInstituto Nacional de Salud, Lima, Peru.ORCID 0000-0003-2301-4379
Jonh Astete-CornejoInstituto Nacional de Salud, Lima, Peru.ORCID 0000-0001-6225-6720
Miguel Angel BurgosInstituto Nacional de Salud, Lima, Peru.ORCID 0000-0002-6156-2176
David Villarreal-ZegarraInstituto Nacional de Salud, Lima, Peru. dvillarrealzegarra@gmail.com.ORCID 0000-0002-2222-4764
Salvador MoncadaInstituto Sindical de Trabajo Ambiente y Salud, Barcelona, Spain.ORCID 0000-0001-9538-5801

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe presence of psychosocial risks at work are associated with mental and physical health issues in workers. The study aim was to adapt the COPSOQ-ISTAS21 (Spanish version of the Copenhagen Psychosocial Questionnaire and Union Institute of Work, Environment and Health) Medium-Version to the Peruvian context and to develop a Short-Version of the instrument.

methodCross-sectional design study. The COPSOQ-ISTAS21 Medium Version was used. A confirmatory factor analysis was performed to determine the internal structure of each subdimension (first-order) and dimension (second-order) using the Robust Maximum Likelihood estimation method, and classic fit indices in the literature (CFI, SRMR, RMSEA). Internal consistency was evaluated using the alpha and omega coefficients. A short version was developed based on the items with the highest factorial load and that reduce the factorial complexity.

resultsA total of 1707 participants were evaluated. In the confirmatory factor analysis, the goodness-of-fit indices for seventeen of the 20 one-dimensional models (subdimensions) were identified; two subdimensions could not be evaluated because they presented only two items. When conducting a multidimensional analysis, we identified that all second-order models presented optimal goodness-of-fit indices, except "psychological demands at work". Finally, a short version of only 31 items was designed from the items with optimal fit indices.

conclusionsThe new adapted versions of COPSOQ-ISTAS21 were renamed CENSOPAS-COPSOQ (National center of occupational health and environment protection for health -in Spanish- and Copenhagen Psychosocial Questionnaire). The CENSOPAS-COPSOQ is an instrument with sufficient evidence of validity and reliability in its medium and short version, which is why its use is recommended in Peruvian work centers to identify the evaluation and prevention of psychosocial risks at work in Peru.

Indexed as

PsychometricsCross-Sectional StudiesHumansPeruReproducibility of ResultsSurveys and QuestionnairesOccupational healthOccupational risksPeruPsychometricWork

Identifiers

PMID35524201
PMCPMC9077908

What OpenQuestion holds

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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.