Association between eHealth literacy and health outcomes in German athletes using the GR-eHEALS questionnaire: a validation and outcome study.

Digital survey Discriminant and convergent validity Factorial structure Health-related outcomes Internet Sports

Journal

BMC sports science, medicine & rehabilitation
ISSN: 2052-1847
Titre abrégé: BMC Sports Sci Med Rehabil
Pays: England
ID NLM: 101605016

Informations de publication

Date de publication:
24 May 2024
Historique:
received: 29 12 2023
accepted: 09 05 2024
medline: 25 5 2024
pubmed: 25 5 2024
entrez: 24 5 2024
Statut: epublish

Résumé

Athletes face various sports-related stressors, which may increase their risk for physical and mental health symptoms. With the internet as an important source of (health) information, it is important for athletes to have eHealth literacy, i.e. the ability to access, understand and use electronic health information and services. However, it is presently uncertain whether eHealth literacy of athletes is linked to better health outcomes such as reduced injury frequency and behaviours like decreased substance abuse. A cross-sectional study was conducted with N = 373 German athletes (229 females) from different types of sport (e.g., ball sports and water sports) who were included in the statistical analyses. The survey included medical, socio-demographic, eHealth- and sports-related data as well as the eHealth Literacy Scale (GR-eHEALS) questionnaire, which measures eHealth literacy. Confirmatory factor analyses and correlational analyses were performed to determine the convergent and discriminant (compared to the 8-item Impulsive Behavior-8 Scale) validity of the GR-eHEALS and to assess the relation between eHealth literacy scores and health outcomes. The more frequently athletes had sustained minor or moderate injuries in the past, the higher the level of eHealth literacy they reported. Furthermore, consumption frequency of painkillers (r = .18, p = .002), sedatives (r = .12, p = .040), and cannabis (r = .29, p = .000) was significantly correlated with eHealth literacy scores. The confirmatory factor analysis of the GR-eHEALS showed an acceptable model fit with a 2-factor solution (information seeking and information appraisal). The GR-eHEALS showed good discriminant (r = - .09, p = .21) and convergent validity (digital confidence; r = .28, p < .001). The GR-eHEALS is a valid instrument to assess eHealth literacy within the cohort of German athletes. Potential dangers of dealing with injury and psychological strain without reaching out for professional help should be considered.

Sections du résumé

BACKGROUND BACKGROUND
Athletes face various sports-related stressors, which may increase their risk for physical and mental health symptoms. With the internet as an important source of (health) information, it is important for athletes to have eHealth literacy, i.e. the ability to access, understand and use electronic health information and services. However, it is presently uncertain whether eHealth literacy of athletes is linked to better health outcomes such as reduced injury frequency and behaviours like decreased substance abuse.
METHODS METHODS
A cross-sectional study was conducted with N = 373 German athletes (229 females) from different types of sport (e.g., ball sports and water sports) who were included in the statistical analyses. The survey included medical, socio-demographic, eHealth- and sports-related data as well as the eHealth Literacy Scale (GR-eHEALS) questionnaire, which measures eHealth literacy. Confirmatory factor analyses and correlational analyses were performed to determine the convergent and discriminant (compared to the 8-item Impulsive Behavior-8 Scale) validity of the GR-eHEALS and to assess the relation between eHealth literacy scores and health outcomes.
RESULTS RESULTS
The more frequently athletes had sustained minor or moderate injuries in the past, the higher the level of eHealth literacy they reported. Furthermore, consumption frequency of painkillers (r = .18, p = .002), sedatives (r = .12, p = .040), and cannabis (r = .29, p = .000) was significantly correlated with eHealth literacy scores. The confirmatory factor analysis of the GR-eHEALS showed an acceptable model fit with a 2-factor solution (information seeking and information appraisal). The GR-eHEALS showed good discriminant (r = - .09, p = .21) and convergent validity (digital confidence; r = .28, p < .001).
CONCLUSION CONCLUSIONS
The GR-eHEALS is a valid instrument to assess eHealth literacy within the cohort of German athletes. Potential dangers of dealing with injury and psychological strain without reaching out for professional help should be considered.

Identifiants

pubmed: 38790069
doi: 10.1186/s13102-024-00902-9
pii: 10.1186/s13102-024-00902-9
doi:

Types de publication

Journal Article

Langues

eng

Pagination

117

Informations de copyright

© 2024. The Author(s).

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Auteurs

Sheila Geiger (S)

Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg-Essen, Essen, Germany. sheila.geiger@uni-due.de.
Centre for Translational Neuro- and Behavioral Sciences (C-TNBS), University of Duisburg- Essen, 45147, Essen, Germany. sheila.geiger@uni-due.de.

Anna Julia Esser (AJ)

Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Centre for Translational Neuro- and Behavioral Sciences (C-TNBS), University of Duisburg- Essen, 45147, Essen, Germany.

Matthias Marsall (M)

Institute for Patient Safety (IfPS), University Hospital Bonn, Bonn, Germany.

Thomas Muehlbauer (T)

Division of Movement and Training Sciences, Biomechanics of Sport, University of Duisburg- Essen, Essen, Germany.

Eva-Maria Skoda (EM)

Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Centre for Translational Neuro- and Behavioral Sciences (C-TNBS), University of Duisburg- Essen, 45147, Essen, Germany.

Martin Teufel (M)

Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Centre for Translational Neuro- and Behavioral Sciences (C-TNBS), University of Duisburg- Essen, 45147, Essen, Germany.

Alexander Bäuerle (A)

Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Centre for Translational Neuro- and Behavioral Sciences (C-TNBS), University of Duisburg- Essen, 45147, Essen, Germany.

Classifications MeSH