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3
Acceptance, drivers, and barriers to use eHealth interventions in patients with post-COVID-19 syndrome for management of post-COVID-19 symptoms: a cross-sectional study.新冠后综合征患者使用电子健康干预措施管理新冠后症状的接受度、驱动因素和障碍:一项横断面研究
Ther Adv Neurol Disord. 2023 May 27;16:17562864231175730. doi: 10.1177/17562864231175730. eCollection 2023.
4
Perspectives on relative energy deficiency in sport (RED-S): A qualitative case study of athletes, coaches and medical professionals from a super league netball club.运动相关能量不足(RED-S)的观点:对超级联赛无挡板篮球队运动员、教练和医务人员的定性案例研究。
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J Cardiovasc Dev Dis. 2023 Apr 17;10(4):174. doi: 10.3390/jcdd10040174.
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Mental health problems, health risk behaviors, and prevention: A qualitative interview study on perceptions and attitudes among elite male soccer players.心理健康问题、健康风险行为与预防:一项关于精英男性足球运动员认知和态度的定性访谈研究。
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Determining the Influencing Factors on Acceptance of eHealth Pain Management Interventions Among Patients With Chronic Pain Using the Unified Theory of Acceptance and Use of Technology: Cross-sectional Study.运用技术接受与使用统一理论确定慢性疼痛患者对电子健康疼痛管理干预措施接受度的影响因素:横断面研究
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使用GR-eHEALS问卷评估德国运动员的电子健康素养与健康结果之间的关联:一项验证和结果研究。

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

作者信息

Geiger Sheila, Esser Anna Julia, Marsall Matthias, Muehlbauer Thomas, Skoda Eva-Maria, Teufel Martin, Bäuerle Alexander

机构信息

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.

出版信息

BMC Sports Sci Med Rehabil. 2024 May 24;16(1):117. doi: 10.1186/s13102-024-00902-9.

DOI:10.1186/s13102-024-00902-9
PMID:38790069
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11127337/
Abstract

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

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

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

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.

摘要

背景

运动员面临各种与运动相关的压力源,这可能会增加他们出现身心健康症状的风险。互联网是(健康)信息的重要来源,对运动员来说,具备电子健康素养很重要,即获取、理解和使用电子健康信息及服务的能力。然而,目前尚不确定运动员的电子健康素养是否与更好的健康结果相关,如降低受伤频率以及减少药物滥用等行为。

方法

对来自不同运动类型(如球类运动和水上运动)的N = 373名德国运动员(229名女性)进行了一项横断面研究,并将其纳入统计分析。该调查包括医疗、社会人口统计学、电子健康和运动相关数据,以及测量电子健康素养的电子健康素养量表(GR - eHEALS)问卷。进行了验证性因素分析和相关性分析,以确定GR - eHEALS的收敛效度和区分效度(与8项冲动行为 - 8量表相比),并评估电子健康素养得分与健康结果之间的关系。

结果

运动员过去遭受轻微或中度损伤的频率越高,他们报告的电子健康素养水平就越高。此外,止痛药(r = 0.18,p = 0.002)、镇静剂(r = 0.12,p = 0.040)和大麻(r = 0.29,p = 0.000)的使用频率与电子健康素养得分显著相关。GR - eHEALS的验证性因素分析显示,采用双因素解决方案(信息寻求和信息评估)时模型拟合度可接受。GR - eHEALS显示出良好的区分效度(r = -0.09,p = 0.21)和收敛效度(数字信心;r = 0.28,p < 0.001)。

结论

GR - eHEALS是评估德国运动员群体电子健康素养的有效工具。应考虑在未寻求专业帮助的情况下应对损伤和心理压力的潜在危险。