Universidad Peruana Cayetano Heredia

Valid group comparisons can be made with the Patient Health Questionnaire (PHQ-9): A measurement invariance study across groups by demographic characteristics.

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dc.contributor.author Villarreal-Zegarra, David
dc.contributor.author Copez-Lonzoy, Anthony
dc.contributor.author Bernabé Ortiz, Antonio
dc.contributor.author Melendez-Torres, G. J.
dc.contributor.author Bazo-Alvarez, Juan Carlos
dc.date.accessioned 2019-12-06T21:02:54Z
dc.date.available 2019-12-06T21:02:54Z
dc.date.issued 2019
dc.identifier.uri https://hdl.handle.net/20.500.12866/7477
dc.description.abstract Objective: Analyze the measurement invariance and the factor structure of the Patient Health Questionnaire-9 (PHQ-9) in the Peruvian population. Method: Secondary data analysis performed using cross-sectional data from the Health Questionnaire of the Demographic and Health Survey in Peru. Variables of interest were the PHQ-9 and demographic characteristics (sex, age group, level of education, socioeconomic status, marital status, and area of residence). Factor structure was evaluated by standard confirmatory factor analysis (CFA), and measurement invariance by multi-group CFA, using standard goodness-of-fit indices criteria for interpreting results from both CFAs. Analysis of the internal consistency (α and ω) was also pursued. Results: Data from 30,449 study participants were analyzed, 56.7% were women, average age was 40.5 years (standard deviation (SD) = 16.3), 65.9% lived in urban areas, 74.6% were married, and had 9 years of education on average (SD = 4.6). From standard CFA, a one-dimensional model presented the best fit (CFI = 0.936; RMSEA = 0.089; SRMR = 0.039). From multi-group CFA, all progressively restricted models had ΔCFI<0.01 across almost all groups by demographic characteristics. PHQ-9 reliability was optimal (α = ω = 0.87). Conclusions: The evidence presents support for the one-dimensional model and measurement invariance of the PHQ-9 measure, allowing for reliable comparisons between sex, age groups, education level, socioeconomic status, marital status, and residence area, and recommends its use within the Peruvian population. en_US
dc.language.iso eng
dc.publisher Public Library of Science
dc.relation.ispartofseries PLoS ONE
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject adult en_US
dc.subject article en_US
dc.subject confirmatory factor analysis en_US
dc.subject controlled study en_US
dc.subject education en_US
dc.subject female en_US
dc.subject groups by age en_US
dc.subject human en_US
dc.subject human experiment en_US
dc.subject internal consistency en_US
dc.subject major clinical study en_US
dc.subject male en_US
dc.subject marriage en_US
dc.subject married person en_US
dc.subject Patient Health Questionnaire 9 en_US
dc.subject Peruvian en_US
dc.subject social status en_US
dc.subject urban area en_US
dc.title Valid group comparisons can be made with the Patient Health Questionnaire (PHQ-9): A measurement invariance study across groups by demographic characteristics. en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.1371/journal.pone.0221717
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#5.04.02
dc.relation.issn 1932-6203


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