Evidence map›Paper›PMID 34416467›Full record

ArticleDiabetes & metabolic syndrome

COVID-19 contagion concern scale (PRE-COVID-19): Validation in Cuban patients with type 2 diabetes.

Tomás Caycho-Rodríguez, Lindsey W Vilca, Ibraín Enrique Corrales-Reyes, Frank Hernández-García, Antonio Pupo Pérez, Patricia González Quintana, Enrique Rolando Pérez García, Luis Alberto Lazo Herrera, Michael White

Abstract readValidation Study
In one paragraph

Article in Diabetes & metabolic syndrome. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Tomás Caycho-RodríguezFacultad de Ciencias de la Salud, Universidad Privada del Norte, Lima, Perú. Electronic address: tomas.caycho@upn.pe.
Lindsey W VilcaDepartamento de Psicología, Universidad Peruana Unión, Lima, Perú.
Ibraín Enrique Corrales-ReyesServicio de Cirugía Maxilofacial, Hospital General Universitario Carlos Manuel de Céspedes, Universidad de Ciencias Médicas de Granma, Bayamo, Granma, Cuba.
Frank Hernández-GarcíaCentro Provincial de Atención y Educación al Paciente Diabético, Hospital Provincial General Docente "Dr. Antonio Luaces Iraola", Facultad de Ciencias Médicas "Dr. José Asse Yara", Universidad de Ciencias Médicas de Ciego de Ávila, Ciego de Ávila, Cuba.
Antonio Pupo PérezFacultad de Ciencias Médicas "General Calixto García", Universidad de Ciencias Médicas de La Habana, La Habana, Cuba.
Patricia González QuintanaFacultad de Medicina No. 1. Universidad de Ciencias Médicas de Santiago de Cuba, Santiago de Cuba, Cuba.
Enrique Rolando Pérez GarcíaPoliclínico Universitario Área Norte, Facultad de Ciencias Médicas "Dr. José Assef Yara", Universidad de Ciencias Médicas de Ciego de Ávila, Ciego de Ávila, Cuba.
Luis Alberto Lazo HerreraFacultad de Ciencias Médicas "Dr. Ernesto Che Guevara de la Serna" Universidad de Ciencias Médicas de Pinar del Río Pinar del Río Cuba.
Michael WhiteDirección General de Investigación, Universidad Peruana Unión, Perú.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsIt is important to have valid and reliable measures to determine the psychological impact of COVID-19 in patients with diabetes; however, few instruments have been developed and validated for this population. Therefore, the aim of this study was to validate the Scale of Worry for Contagion of COVID-19 (PRE-COVID-19) in a sample of patients with diabetes mellitus (DM). MATERIALS AND

methodsA total of 219 patients (66.2% female, mean age 58.5 SD = 18.2) participated, selected through non-probabilistic sampling. The PRE-COVID-19 and the Generalized Anxiety Disorder Scale-2 were applied. Reliability analysis was performed for internal consistency, structural equation modeling and item response theory modeling.

resultsThe results show that a unidimensional 5-item model presents satisfactory goodness-of-fit indices and excellent reliability values. Likewise, convergent validity between the PRE-COVID-19 and a measure of anxiety is evident. All items present adequate discrimination parameters, allowing for discerning between those patients with critical concern about COVID-19 contagion from those with severe concern.

conclusionIt is concluded that the PRE-COVID-19 is an instrument with adequate psychometric properties to measure concern about COVID-19 infection and the emotional impact in patients with DM.

Indexed as

AdolescentAdultAgedAged, 80 and overAnxietyAnxiety DisordersCOVID-19CubaDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedPandemicsPsychometricsSurveys and QuestionnairesCOVID-19CubaDiabetes mellitusWorry

Identifiers

PMID34416467
PMCPMC8363424

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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.