Evidence map›Paper›PMID 38725266›Full record

ArticleEuropean journal of public health2024

The reflective measurement model of adherence to non-pharmaceutical interventions (NPIs) in accordance with normalization process theory (NPT) in coherent and convenient social subgroups: PLS-SEM analysis.

Magda Pletikosa Pavic, Shelly Melissa Pranic, Tonci Mastelic, Zeljko Kljucevic, Majda Gotovac, Anamarija Jurcev Savicevic, Tonci Kozina, Slavica Kozina

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Article in European journal of 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.

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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Magda Pletikosa PavicDepartment of Mental Health, Split-Dalmatia County Teaching Institute of Public Health, Split, Croatia.
Shelly Melissa PranicDepartment of Public Health, University of Split School of Medicine, Split, Croatia.
Tonci MastelicDepartment of Psychiatry, University Hospital Split, Split, Croatia.
Zeljko KljucevicDepartment of Mental Health, Split-Dalmatia County Teaching Institute of Public Health, Split, Croatia.
Majda GotovacDepartment of Mental Health, Split-Dalmatia County Teaching Institute of Public Health, Split, Croatia.
Anamarija Jurcev SavicevicDepartment of Public Health, University of Split School of Medicine, Split, Croatia.
Tonci KozinaDepartment of Professional Studies, University of Split, Split, Croatia.
Slavica KozinaDepartment of Medical Psychology, University of Split School of Medicine, Split, Croatia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-pharmaceutical interventions (NPIs) decrease COVID-19 transmission. Reliability and validity of adherence to NPIs in accordance with normalization process theory (NPT) in coherent and convenient social subgroups using reflective measurement model assessment has not been evaluated.

methodsIn February 2021, a sample of medical students and people with substance use disorders in treatment as coherent (based on continuous probability distribution) vs. convenient groups (based on convenience, not equal probability) composed of travellers and COVID-19 suspected persons from Split-Dalmatia County (SDC) (n = 656) in the Mediterranean completed self-administered surveys. Partial least squares structural equation modelling (PLS-SEM) was used to measure reflective model assessment of adherence to NPIs according to NPT.

resultsPLS-SEM reflective model assessment provided two-group specific factors in inverse relationships which determined adherence to NPIs with excellent goodness-of-fit [χ2 = 1.292, df = 1; P = 0.297, CFI = 1, TLI = 0.997, RMSEA = 0.011 (90% CI 0-0.105), RMSEA P = 0.604, SRMR = 0.008, Hoelter CN (α = 0.05) = 2322.757]. Significant negative factors covariance estimate (-0.716) revealed an inverse relationship between first (adherence to NPIs and internal locus of control (LoC) (0.640)) and second factor; young adulthood age (≤25) and highest level of education (1362). As the first factor increased the second tended to decrease. LoC is expected potential mechanism by which sex (MLsex = -0.017, SE = 0.007, P < 0.016) and belonging to coherent subgroups (MLgroup = -0.008, SE = 0.003, P = 0.015) can produce indirect effect of adherence to NPIs.

conclusionsCoherent subgroups had a more pronounced tendency toward integration of NPIs in everyday life. Group factors that facilitate the normalization were higher educated younger adults with a tendency toward external LoC.

Indexed as

COVID-19SARS-CoV-2AdultFemaleHumansLatent Class AnalysisLeast-Squares AnalysisMaleMiddle AgedReproducibility of ResultsStudents, MedicalSubstance-Related DisordersSurveys and QuestionnairesYoung Adult

Identifiers

PMID38725266
PMCPMC11430931

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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.