|
1000
|
Abstract/Summary
|
-
<jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>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.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>A cross-sectional study was conducted with<jats:italic>N</jats:italic> = 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.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>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 (<jats:italic>r</jats:italic> = .18,<jats:italic>p</jats:italic> = .002), sedatives (<jats:italic>r</jats:italic> = .12,<jats:italic>p</jats:italic> = .040), and cannabis (<jats:italic>r</jats:italic> = .29,<jats:italic>p</jats:italic> = .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 (<jats:italic>r</jats:italic> = − .09,<jats:italic>p</jats:italic> = .21) and convergent validity (digital confidence;<jats:italic>r</jats:italic> = .28,<jats:italic>p</jats:italic> < .001).</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>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.</jats:p></jats:sec>
|
|
1000
|
Hinweis
|
-
DeepGreen-ID: e532b816d5824ecc8ee40a62956537f6 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
|
