{"title":"特殊教育职业倦怠的心理维度:情绪耗竭、个人成就和人格解体的横截面行为数据分析。","authors":"Paraskevi-Spyridoula Alexaki, Hera Antonopoulou, Evgenia Gkintoni, Nikos Adamopoulos, Constantinos Halkiopoulos","doi":"10.3390/ijerph22091420","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and objectives: </strong>Professional burnout threatens special education teachers' well-being and educational service quality through three psychological dimensions: emotional exhaustion, depersonalization, and personal achievement. Limited studies have employed behavioral data analysis to examine burnout patterns in special education and their relationships with demographic factors and contemporary stressors. This study aimed to (1) identify burnout levels among Greek special education teachers, (2) determine demographic risk factors, and (3) examine relationships between burnout dimensions and COVID-19 psychological impact.</p><p><strong>Materials and methods: </strong>A cross-sectional study surveyed 114 special education teachers from Achaia and Aitoloakarnania prefectures, Greece (response rate: 87.7%), using the Maslach Burnout Inventory-Educators Survey (MBI-ES) and demographic questionnaires. Behavioral data analysis integrates traditional statistics with advanced techniques, including cluster analysis and classification modeling.</p><p><strong>Results: </strong>Four distinct burnout profiles emerged: Low Burnout (36.8%), Moderate Emotional Exhaustion (30.7%), High Risk (21.9%), and Depersonalization-Dominant (10.5%). Overall burnout prevalence was low, with 73.7% showing minimal depersonalization and 67.5% maintaining high personal achievement. Employment status emerged as the strongest predictor of burnout risk. Emotional exhaustion was the primary predictor of COVID-19 psychological impact (<i>r</i> = 0.547, <i>p</i> < 0.001), explaining 29.9% of pandemic-related distress variance. Male substitute teachers demonstrated the highest vulnerability to depersonalization, while experienced female permanent teachers showed resilience patterns.</p><p><strong>Conclusions: </strong>Behavioral data analysis revealed distinct burnout patterns enabling personalized interventions. Emotional exhaustion serves as both a key vulnerability factor and primary intervention target. These findings support targeted approaches to occupational health with implications for educational policy. Limitations include cross-sectional design and regional sampling. Future longitudinal studies should validate these patterns across diverse educational contexts.</p>","PeriodicalId":49056,"journal":{"name":"International Journal of Environmental Research and Public Health","volume":"22 9","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12469340/pdf/","citationCount":"0","resultStr":"{\"title\":\"Psychological Dimensions of Professional Burnout in Special Education: A Cross-Sectional Behavioral Data Analysis of Emotional Exhaustion, Personal Achievement, and Depersonalization.\",\"authors\":\"Paraskevi-Spyridoula Alexaki, Hera Antonopoulou, Evgenia Gkintoni, Nikos Adamopoulos, Constantinos Halkiopoulos\",\"doi\":\"10.3390/ijerph22091420\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background and objectives: </strong>Professional burnout threatens special education teachers' well-being and educational service quality through three psychological dimensions: emotional exhaustion, depersonalization, and personal achievement. Limited studies have employed behavioral data analysis to examine burnout patterns in special education and their relationships with demographic factors and contemporary stressors. This study aimed to (1) identify burnout levels among Greek special education teachers, (2) determine demographic risk factors, and (3) examine relationships between burnout dimensions and COVID-19 psychological impact.</p><p><strong>Materials and methods: </strong>A cross-sectional study surveyed 114 special education teachers from Achaia and Aitoloakarnania prefectures, Greece (response rate: 87.7%), using the Maslach Burnout Inventory-Educators Survey (MBI-ES) and demographic questionnaires. Behavioral data analysis integrates traditional statistics with advanced techniques, including cluster analysis and classification modeling.</p><p><strong>Results: </strong>Four distinct burnout profiles emerged: Low Burnout (36.8%), Moderate Emotional Exhaustion (30.7%), High Risk (21.9%), and Depersonalization-Dominant (10.5%). Overall burnout prevalence was low, with 73.7% showing minimal depersonalization and 67.5% maintaining high personal achievement. Employment status emerged as the strongest predictor of burnout risk. Emotional exhaustion was the primary predictor of COVID-19 psychological impact (<i>r</i> = 0.547, <i>p</i> < 0.001), explaining 29.9% of pandemic-related distress variance. Male substitute teachers demonstrated the highest vulnerability to depersonalization, while experienced female permanent teachers showed resilience patterns.</p><p><strong>Conclusions: </strong>Behavioral data analysis revealed distinct burnout patterns enabling personalized interventions. 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引用次数: 0
摘要
背景与目的:职业倦怠通过情绪耗竭、人格解体和个人成就三个心理维度威胁特殊教育教师的幸福感和教育服务质量。有限的研究采用行为数据分析来考察特殊教育中的倦怠模式及其与人口因素和当代压力源的关系。本研究旨在(1)确定希腊特殊教育教师的倦怠水平,(2)确定人口统计学风险因素,(3)检验倦怠维度与COVID-19心理影响之间的关系。材料和方法:采用Maslach职业倦怠量表-教育者调查(MBI-ES)和人口调查问卷,对来自希腊亚该亚州和Aitoloakarnania州的114名特殊教育教师进行了横断面研究(回复率:87.7%)。行为数据分析将传统统计学与先进的技术相结合,包括聚类分析和分类建模。结果:出现了低倦怠(36.8%)、中度情绪耗竭(30.7%)、高风险(21.9%)和去人格化-显性(10.5%)四种不同的倦怠类型。总体的倦怠患病率较低,73.7%的人表现出最低程度的人格解体,67.5%的人保持较高的个人成就。就业状况是职业倦怠风险的最强预测因子。情绪衰竭是COVID-19心理影响的主要预测因子(r = 0.547, p < 0.001),解释了29.9%的大流行相关痛苦方差。男性代课教师表现出最高的人格解体脆弱性,而经验丰富的女性终身教师则表现出弹性模式。结论:行为数据分析揭示了不同的倦怠模式,可以进行个性化干预。情绪耗竭既是关键的脆弱性因素,也是主要的干预目标。这些发现支持有针对性的职业健康方法,并对教育政策产生影响。局限性包括横断面设计和区域抽样。未来的纵向研究应该在不同的教育背景下验证这些模式。
Psychological Dimensions of Professional Burnout in Special Education: A Cross-Sectional Behavioral Data Analysis of Emotional Exhaustion, Personal Achievement, and Depersonalization.
Background and objectives: Professional burnout threatens special education teachers' well-being and educational service quality through three psychological dimensions: emotional exhaustion, depersonalization, and personal achievement. Limited studies have employed behavioral data analysis to examine burnout patterns in special education and their relationships with demographic factors and contemporary stressors. This study aimed to (1) identify burnout levels among Greek special education teachers, (2) determine demographic risk factors, and (3) examine relationships between burnout dimensions and COVID-19 psychological impact.
Materials and methods: A cross-sectional study surveyed 114 special education teachers from Achaia and Aitoloakarnania prefectures, Greece (response rate: 87.7%), using the Maslach Burnout Inventory-Educators Survey (MBI-ES) and demographic questionnaires. Behavioral data analysis integrates traditional statistics with advanced techniques, including cluster analysis and classification modeling.
Results: Four distinct burnout profiles emerged: Low Burnout (36.8%), Moderate Emotional Exhaustion (30.7%), High Risk (21.9%), and Depersonalization-Dominant (10.5%). Overall burnout prevalence was low, with 73.7% showing minimal depersonalization and 67.5% maintaining high personal achievement. Employment status emerged as the strongest predictor of burnout risk. Emotional exhaustion was the primary predictor of COVID-19 psychological impact (r = 0.547, p < 0.001), explaining 29.9% of pandemic-related distress variance. Male substitute teachers demonstrated the highest vulnerability to depersonalization, while experienced female permanent teachers showed resilience patterns.
Conclusions: Behavioral data analysis revealed distinct burnout patterns enabling personalized interventions. Emotional exhaustion serves as both a key vulnerability factor and primary intervention target. These findings support targeted approaches to occupational health with implications for educational policy. Limitations include cross-sectional design and regional sampling. Future longitudinal studies should validate these patterns across diverse educational contexts.
期刊介绍:
International Journal of Environmental Research and Public Health (IJERPH) (ISSN 1660-4601) is a peer-reviewed scientific journal that publishes original articles, critical reviews, research notes, and short communications in the interdisciplinary area of environmental health sciences and public health. It links several scientific disciplines including biology, biochemistry, biotechnology, cellular and molecular biology, chemistry, computer science, ecology, engineering, epidemiology, genetics, immunology, microbiology, oncology, pathology, pharmacology, and toxicology, in an integrated fashion, to address critical issues related to environmental quality and public health. Therefore, IJERPH focuses on the publication of scientific and technical information on the impacts of natural phenomena and anthropogenic factors on the quality of our environment, the interrelationships between environmental health and the quality of life, as well as the socio-cultural, political, economic, and legal considerations related to environmental stewardship and public health.
The 2018 IJERPH Outstanding Reviewer Award has been launched! This award acknowledge those who have generously dedicated their time to review manuscripts submitted to IJERPH. See full details at http://www.mdpi.com/journal/ijerph/awards.