2023
DOI: 10.1002/pmrj.13011
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Validation of the Patient Health Questionnaire‐4 for longitudinal mental health evaluation in elite Para athletes

Abstract: IntroductionDespite the increasing amount of research regarding mental health in elite athletes in recent years, athletes with impairments are hardly represented. Due to this lack of data and the significant need of athlete specific mental health screening tools, a continuous mental health monitoring within elite Para athletes was implemented.ObjectivesValidation of the Patient Health Questionnaire‐4 (PHQ‐4) as a suitable tool for continuous mental health evaluation in elite Para athletes.DesignA 43‐week prosp… Show more

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Cited by 6 publications
(4 citation statements)
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“…As in previous validations (Fong et al, 2023;Kocalevent et al, 2014;Löwe et al, 2010;Meidl et al, 2023;Mendoza et al, 2022), the two-factor structure of the PHQ-4 was invariant (configural, metric, and scalar) across gender, age, income level, education level, and region in this study, supporting hypothesis 2. Given the geographically based cultural heterogeneity of Colombia, regional invariance of PHQ-4 seems to be a particularly relevant finding.…”
Section: Discussionsupporting
confidence: 88%
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“…As in previous validations (Fong et al, 2023;Kocalevent et al, 2014;Löwe et al, 2010;Meidl et al, 2023;Mendoza et al, 2022), the two-factor structure of the PHQ-4 was invariant (configural, metric, and scalar) across gender, age, income level, education level, and region in this study, supporting hypothesis 2. Given the geographically based cultural heterogeneity of Colombia, regional invariance of PHQ-4 seems to be a particularly relevant finding.…”
Section: Discussionsupporting
confidence: 88%
“…Firstly, to examine the goodness-of-fit of the one-, two-, and bifactor model of the PHQ-4. In line with the evidence reported in previous studies (Cano-Vindel et al, 2018;Fong et al, 2023;Kocalevent et al, 2014;Kroenke et al, 2009;Löwe et al, 2010;Meidl et al, 2023;Mendoza et al, 2022), it was speculated that the two-factor correlated model would have a significantly better fit to the data than the other models (hypothesis 1). 2.…”
Section: Introductionsupporting
confidence: 71%
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