Zhang Xuda, Zhao Shiao, Ng Sanfan, Liu Yiran, Liang Taihe, In Lao Chon, Ning Ziheng
Faculty of Health Sciences and Sports, Macao Polytechnic University, Macau, Macao SAR, China.
Front Psychol. 2025 Aug 8;16:1618617. doi: 10.3389/fpsyg.2025.1618617. eCollection 2025.
While imagery practice is effective for performance enhancement, its impact on mental health is inconclusive due to mixed findings and heterogeneous athlete populations. This study aims to evaluate the effectiveness and optimal dosage of imagery practice on athletes' mental health outcomes.
A total of 24 randomized controlled trials (RCTs), encompassing 1,294 athletes, were synthesized using a Bayesian multilevel meta-analysis in accordance with the PRISMA 2020 guidelines. Among them, 623 were male and 375 were female; the remaining 296 participants were from studies that did not report sex-specific data. The included trials spanned diverse continents (e.g., America, Asia, Europe), covered a wide age range (from adolescents to adults), and involved both individual and team sports (e.g., gymnastics, soccer, swimming). A Bayesian multilevel approach was selected to account for potential clustering within studies and to provide full posterior distributions for effect estimates, allowing for more robust inferences under uncertainty.
Our research indicate that imagery practice may improve athletes' mental health [μ(SMD): 0.5, 95% CI: 0.34 to 0.56; HDI: 0.22 to 0.89; BF: 17.16], including reducing anxiety levels [μ(SMD): 0.52, 95% CI: 0.11 to 0.96; HDI: 0.11 to 0.96; BF: 2.33], strengthening self-confidence [μ(SMD): 0.62, 95% CI: 0.1 to 1.13; HDI: 0.12 to 1.15; BF: 2.2], and improving self-efficacy [μ(SMD): 1.36, 95% CI: 0.26 to 2.47; HDI: 0.24 to 2.45; BF: 5.38]. In the athlete model, statistically significant effects of imagery practice were found only among tennis players [μ(SMD): 1.16, 95% CI: 0.19 to 2.48; HDI: 0.13 to 2.39; BF: 4.06]. In moderation analysis, a dosage of 45-min sessions once a week for 100 days may be associated with more favorable mental health outcomes.
To our knowledge, limited prior meta-analytic research has employed Bayesian multilevel modeling to examine the effects and moderators of imagery practice on mental health outcomes. While the findings suggest that imagery practice may offer psychological benefits for athletes, these effects appear to vary across contexts and athlete populations. Therefore, imagery should be applied with caution, considering individual differences and potential limitations. This study contributes to sport psychology by offering preliminary empirical guidance for tailoring imagery practice to support athletes' mental health.
虽然意象训练对提高运动表现有效,但其对心理健康的影响尚无定论,因为研究结果不一,且运动员群体具有异质性。本研究旨在评估意象训练对运动员心理健康结果的有效性和最佳剂量。
根据PRISMA 2020指南,采用贝叶斯多层次荟萃分析对总共24项随机对照试验(RCT)进行综合分析,这些试验涵盖了1294名运动员。其中,623名是男性,375名是女性;其余296名参与者来自未报告性别特定数据的研究。纳入的试验分布在不同大陆(如美洲、亚洲、欧洲),涵盖广泛的年龄范围(从青少年到成年人),涉及个人和团体运动(如体操、足球、游泳)。选择贝叶斯多层次方法是为了考虑研究中的潜在聚类,并为效应估计提供完整的后验分布,以便在不确定性下进行更稳健的推断。
我们的研究表明,意象训练可能改善运动员的心理健康[μ(标准化均数差):0.5,95%可信区间:0.34至0.56;高密度区间:0.22至0.89;贝叶斯因子:17.16],包括降低焦虑水平[μ(标准化均数差):0.52,95%可信区间:0.11至0.96;高密度区间:0.11至0.96;贝叶斯因子:2.33],增强自信心[μ(标准化均数差):0.62,95%可信区间:0.1至1.13;高密度区间:0.12至1.15;贝叶斯因子:2.2],以及提高自我效能感[μ(标准化均数差):1.36,95%可信区间:0.26至2.47;高密度区间:0.24至2.45;贝叶斯因子:5.38]。在运动员模型中,仅在网球运动员中发现意象训练具有统计学显著效果[μ(标准化均数差):1.16,95%可信区间:0.19至2.48;高密度区间:0.13至2.39;贝叶斯因子:4.06]。在调节分析中,每周一次45分钟的训练课程,持续100天,可能与更有利的心理健康结果相关。
据我们所知,之前有限的荟萃分析研究采用贝叶斯多层次建模来检验意象训练对心理健康结果的影响和调节因素。虽然研究结果表明意象训练可能对运动员具有心理益处,但这些效果似乎因情境和运动员群体而异。因此,应谨慎应用意象训练,考虑个体差异和潜在局限性。本研究通过为量身定制意象训练以支持运动员心理健康提供初步实证指导,为运动心理学做出了贡献。