Intervention Effect of Mindfulness Interventions Combined With Folk-Dance on Academic Burnout Among Left-Behind Children in Rural China

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Abstract Objectives This study examined the comparative effectiveness of three distinct interventions—a dance-based intervention, a mindfulness-based intervention, and a combined intervention integrating both strategies—in alleviating academic burnout among a sample of rural Chinese left-behind children. Methods A total of 100 rural left-behind children were randomly divided into four groups: mindfulness training, dance therapy, combined intervention, and control groups through a single-blind randomized controlled trial design. Each group received four intervention sessions per week over a 12-week period. The assessment of academic burnout was conducted at three time points: baseline (T0), immediately after the intervention (T1), and at a 6-week follow-up (T2). Data analysis was performed using repeated-measures analysis of variance (ANOVA) with Bonferroni correction in SPSS (version 26.0). Results Between-subjects ANOVA revealed significant group differences in academic burnout (AB) total scores and its dimensions: physical exhaustion (PE), emotional exhaustion (EE), alienation from the teacher (ATT), and low learning efficacy (RLE). Throughout the intervention period, a significant and consistent reduction was observed in both the total academic burnout scores and the scores across its various dimensions for participants in the intervention groups. Notably, the combined intervention group demonstrated a more pronounced reduction in academic burnout compared to the mindfulness group and the dance group, as evidenced by significantly lower scores at both T1 and T2. Conclusion The results of this study suggest that the combination of folk-dance and mindfulness interventions is of significant value in reducing academic burnout among left-behind children.
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Intervention Effect of Mindfulness Interventions Combined With Folk-Dance on Academic Burnout Among Left-Behind Children in Rural China | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Intervention Effect of Mindfulness Interventions Combined With Folk-Dance on Academic Burnout Among Left-Behind Children in Rural China Huiting Ren, Qian Yang, Xiao Liu, Chunxia Lu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6576858/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Objectives This study examined the comparative effectiveness of three distinct interventions—a dance-based intervention, a mindfulness-based intervention, and a combined intervention integrating both strategies—in alleviating academic burnout among a sample of rural Chinese left-behind children. Methods A total of 100 rural left-behind children were randomly divided into four groups: mindfulness training, dance therapy, combined intervention, and control groups through a single-blind randomized controlled trial design. Each group received four intervention sessions per week over a 12-week period. The assessment of academic burnout was conducted at three time points: baseline (T0), immediately after the intervention (T1), and at a 6-week follow-up (T2). Data analysis was performed using repeated-measures analysis of variance (ANOVA) with Bonferroni correction in SPSS (version 26.0). Results Between-subjects ANOVA revealed significant group differences in academic burnout (AB) total scores and its dimensions: physical exhaustion (PE), emotional exhaustion (EE), alienation from the teacher (ATT), and low learning efficacy (RLE). Throughout the intervention period, a significant and consistent reduction was observed in both the total academic burnout scores and the scores across its various dimensions for participants in the intervention groups. Notably, the combined intervention group demonstrated a more pronounced reduction in academic burnout compared to the mindfulness group and the dance group, as evidenced by significantly lower scores at both T1 and T2. Conclusion The results of this study suggest that the combination of folk-dance and mindfulness interventions is of significant value in reducing academic burnout among left-behind children. Health sciences/Health care Health sciences/Health occupations Left-Behind children Academic burnout Mindfulness combined with folk-dance intervention Mindfulness intervention Folk-dancing intervention Full Text Additional Declarations No competing interests reported. Supplementary Files researchprotocol.pdf CONSORT2025editablechecklist.pdf dataset.xlsx 170325.jpg Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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