{"title":"在研究利用中应用压力管理和生物反馈干预的综合模型:系统回顾与元分析》。","authors":"Manyat Ruchiwit, Sararud Vuthiarpa, Kampol Ruchiwit, Kasorn Muijeen, Kanjanee Phanphairoj","doi":"10.2174/0117450179276691231229071003","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Stress management and biofeedback interventions have been shown to be effective in improving mental and physical health outcomes. However, previous research studies and synthesized models for applying these interventions in research utilization are insufficient.</p><p><strong>Objective: </strong>This study aimed to synthesize a model for applying stress management and biofeedback interventions in research utilization.</p><p><strong>Methods: </strong>A systematic review and meta-analysis were conducted according to the PRISMA guidelines.Multiple studies were used to assess the effectiveness of applying stress management and biofeedback interventions published from 2017 to 2023. The process included identifying the research questions, conducting a comprehensive literature search, assessing study quality, extracting data, synthesizing the data, analyzing and interpreting the findings, drawing conclusions, and making recommendations.</p><p><strong>Results: </strong>The results indicated a significant mean effect size without evidence of publication bias. The effect sizes of the subgroups among the study variables were not significantly different [<i>Q</i> = 4.02, <i>p</i> = .26]. However, there were significant differences regarding the mean effect sizes among the studies [<i>Q</i> = 63.59, <i>p <</i> .001] and also in terms of the test of subgroups among the participants [<i>Q</i> = 8.49, <i>p =</i> .04].</p><p><strong>Conclusion: </strong>The results emphasize the importance of evidence-based practice and highlight the need for ongoing evaluation and refinement of interventions. The proposed model was supported by related theories and research studies in order to ensure the robustness and reliability to guide practice and future research in the field of biofeedback interventions. By following this model, researchers and practitioners can ensure that stress management and biofeedback interventions are evidence-based and are effective in improving mental and physical health outcomes.</p>","PeriodicalId":35447,"journal":{"name":"Clinical Practice and Epidemiology in Mental Health","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11037511/pdf/","citationCount":"0","resultStr":"{\"title\":\"A Synthesized Model for Applying Stress Management and Biofeedback Interventions in Research Utilization: A Systematic Review and Meta-analysis.\",\"authors\":\"Manyat Ruchiwit, Sararud Vuthiarpa, Kampol Ruchiwit, Kasorn Muijeen, Kanjanee Phanphairoj\",\"doi\":\"10.2174/0117450179276691231229071003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Stress management and biofeedback interventions have been shown to be effective in improving mental and physical health outcomes. However, previous research studies and synthesized models for applying these interventions in research utilization are insufficient.</p><p><strong>Objective: </strong>This study aimed to synthesize a model for applying stress management and biofeedback interventions in research utilization.</p><p><strong>Methods: </strong>A systematic review and meta-analysis were conducted according to the PRISMA guidelines.Multiple studies were used to assess the effectiveness of applying stress management and biofeedback interventions published from 2017 to 2023. The process included identifying the research questions, conducting a comprehensive literature search, assessing study quality, extracting data, synthesizing the data, analyzing and interpreting the findings, drawing conclusions, and making recommendations.</p><p><strong>Results: </strong>The results indicated a significant mean effect size without evidence of publication bias. The effect sizes of the subgroups among the study variables were not significantly different [<i>Q</i> = 4.02, <i>p</i> = .26]. However, there were significant differences regarding the mean effect sizes among the studies [<i>Q</i> = 63.59, <i>p <</i> .001] and also in terms of the test of subgroups among the participants [<i>Q</i> = 8.49, <i>p =</i> .04].</p><p><strong>Conclusion: </strong>The results emphasize the importance of evidence-based practice and highlight the need for ongoing evaluation and refinement of interventions. The proposed model was supported by related theories and research studies in order to ensure the robustness and reliability to guide practice and future research in the field of biofeedback interventions. By following this model, researchers and practitioners can ensure that stress management and biofeedback interventions are evidence-based and are effective in improving mental and physical health outcomes.</p>\",\"PeriodicalId\":35447,\"journal\":{\"name\":\"Clinical Practice and Epidemiology in Mental Health\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11037511/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Practice and Epidemiology in Mental Health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/0117450179276691231229071003\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Practice and Epidemiology in Mental Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/0117450179276691231229071003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
A Synthesized Model for Applying Stress Management and Biofeedback Interventions in Research Utilization: A Systematic Review and Meta-analysis.
Background: Stress management and biofeedback interventions have been shown to be effective in improving mental and physical health outcomes. However, previous research studies and synthesized models for applying these interventions in research utilization are insufficient.
Objective: This study aimed to synthesize a model for applying stress management and biofeedback interventions in research utilization.
Methods: A systematic review and meta-analysis were conducted according to the PRISMA guidelines.Multiple studies were used to assess the effectiveness of applying stress management and biofeedback interventions published from 2017 to 2023. The process included identifying the research questions, conducting a comprehensive literature search, assessing study quality, extracting data, synthesizing the data, analyzing and interpreting the findings, drawing conclusions, and making recommendations.
Results: The results indicated a significant mean effect size without evidence of publication bias. The effect sizes of the subgroups among the study variables were not significantly different [Q = 4.02, p = .26]. However, there were significant differences regarding the mean effect sizes among the studies [Q = 63.59, p < .001] and also in terms of the test of subgroups among the participants [Q = 8.49, p = .04].
Conclusion: The results emphasize the importance of evidence-based practice and highlight the need for ongoing evaluation and refinement of interventions. The proposed model was supported by related theories and research studies in order to ensure the robustness and reliability to guide practice and future research in the field of biofeedback interventions. By following this model, researchers and practitioners can ensure that stress management and biofeedback interventions are evidence-based and are effective in improving mental and physical health outcomes.
期刊介绍:
Clinical Practice & Epidemiology in Mental Health is an open access online journal, which publishes Research articles, Reviews, Letters in all areas of clinical practice and epidemiology in mental health covering the following topics: Clinical and epidemiological research in psychiatry and mental health; diagnosis, prognosis and treatment of mental health conditions; and frequencies and determinants of mental health conditions in the community and the populations at risk; research and economic aspects of psychiatry, with special attention given to manuscripts presenting new results and methods in the area; and clinical epidemiologic investigation of pharmaceutical agents. Clinical Practice & Epidemiology in Mental Health, a peer reviewed journal, aims to provide the most complete and reliable source of information on current developments in the field. The emphasis will be on publishing quality articles rapidly and freely available worldwide.