{"title":"波兰牙医的工作倦怠:感觉处理敏感度和情商的作用。","authors":"Beata Pszczółkowska, Sylwiusz Retowski","doi":"10.13075/ijomeh.1896.02488","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Job strain in dentistry makes the profession highly susceptible to occupational burnout. People with high sensory processing sensitivity (SPS) perceive workplace as more stressful and more demanding. Emotional intelligence (EI) is both a trait and an ability, which helps individuals adapt to the environment and reduces burnout. This study examines the relationship between SPS and burnout among Polish dentists and whether EI may be a protective factor against burnout in a group of highly sensitive dentists.</p><p><strong>Material and methods: </strong>Polish dentists (N = 201) answered a questionnaire, the short Polish version of the <i>Highly Sensitive Person Scale</i> (HSPS-10), the <i>Trait Emotional Intelligence Questionnaire - Short Form</i> (TEIQue-SF), the <i>Oldenburg Burnout Inventory</i> (OLBI), and the demographic data questionnaire.</p><p><strong>Results: </strong>Moderated hierarchical regression analyses showed that SPS can predict burnout factors exhaustion (p < 0.001) and disengagement (p = 0.012). Higher trait SPS was associated with higher burnout factors. Emotional intelligence can predict burnout factors exhaustion (p < 0.001) and disengagement (p < 0.001). Higher trait EI was associated with lower burnout factors. Also it turned out that EI moderates the relationship between SPS and burnout factor exhaustion (p = 0.015). The findings illustrated reverse buffering effect. UNIANOVA analyses showed that EI may have a protective effect on burnout, although this effect decreases for exhaustion and disappears for disengagement in the group of highly sensitive dentists.</p><p><strong>Conclusions: </strong>Sensory processing sensitivity can help to identify dentists who are at risk to develop burnout. Training to increase EI levels can be implemented to reduce the risk of burnout among dentists, although it appears to be insufficient among those at higher risk, i.e., the highly sensitive dentists. This shows the importance of searching for other possible factors that could protect highly sensitive dentists from burnout. Int J Occup Med Environ Health. 2024;37(5):524-34.</p>","PeriodicalId":14173,"journal":{"name":"International journal of occupational medicine and environmental health","volume":" ","pages":"524-534"},"PeriodicalIF":1.4000,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11661023/pdf/","citationCount":"0","resultStr":"{\"title\":\"Job burnout among Polish dentists: the role of sensory processing sensitivity and emotional intelligence.\",\"authors\":\"Beata Pszczółkowska, Sylwiusz Retowski\",\"doi\":\"10.13075/ijomeh.1896.02488\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>Job strain in dentistry makes the profession highly susceptible to occupational burnout. People with high sensory processing sensitivity (SPS) perceive workplace as more stressful and more demanding. Emotional intelligence (EI) is both a trait and an ability, which helps individuals adapt to the environment and reduces burnout. This study examines the relationship between SPS and burnout among Polish dentists and whether EI may be a protective factor against burnout in a group of highly sensitive dentists.</p><p><strong>Material and methods: </strong>Polish dentists (N = 201) answered a questionnaire, the short Polish version of the <i>Highly Sensitive Person Scale</i> (HSPS-10), the <i>Trait Emotional Intelligence Questionnaire - Short Form</i> (TEIQue-SF), the <i>Oldenburg Burnout Inventory</i> (OLBI), and the demographic data questionnaire.</p><p><strong>Results: </strong>Moderated hierarchical regression analyses showed that SPS can predict burnout factors exhaustion (p < 0.001) and disengagement (p = 0.012). Higher trait SPS was associated with higher burnout factors. Emotional intelligence can predict burnout factors exhaustion (p < 0.001) and disengagement (p < 0.001). Higher trait EI was associated with lower burnout factors. Also it turned out that EI moderates the relationship between SPS and burnout factor exhaustion (p = 0.015). The findings illustrated reverse buffering effect. UNIANOVA analyses showed that EI may have a protective effect on burnout, although this effect decreases for exhaustion and disappears for disengagement in the group of highly sensitive dentists.</p><p><strong>Conclusions: </strong>Sensory processing sensitivity can help to identify dentists who are at risk to develop burnout. Training to increase EI levels can be implemented to reduce the risk of burnout among dentists, although it appears to be insufficient among those at higher risk, i.e., the highly sensitive dentists. This shows the importance of searching for other possible factors that could protect highly sensitive dentists from burnout. 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引用次数: 0
摘要
目的:牙科工作压力大,极易导致职业倦怠。感觉处理敏感度高(SPS)的人认为工作场所压力更大、要求更高。情商(EI)既是一种特质,也是一种能力,它有助于个人适应环境,减少职业倦怠。本研究探讨了波兰牙医中感官敏感与职业倦怠之间的关系,以及在一群高度敏感的牙医中,情商是否可能成为防止职业倦怠的保护因素:波兰牙医(N = 201)回答了一份调查问卷、波兰语简版高度敏感者量表(HSPS-10)、特质情绪智力问卷-简表(TEIQue-SF)、奥尔登堡职业倦怠量表(OLBI)和人口统计学数据问卷:调节分层回归分析表明,SPS 可以预测倦怠因素疲惫(p < 0.001)和脱离(p = 0.012)。较高的特质SPS与较高的职业倦怠因素相关。情商可以预测倦怠因素耗竭(p < 0.001)和脱离(p < 0.001)。较高的特质情商与较低的职业倦怠因素相关。此外,EI 还能调节 SPS 与职业倦怠因素耗竭之间的关系(p = 0.015)。研究结果显示了反向缓冲效应。UNIANOVA 分析表明,EI 可能对职业倦怠有保护作用,尽管在高度敏感的牙科医生群体中,这种作用在疲惫方面会减弱,在脱离方面会消失:结论:感觉处理敏感性有助于识别有可能产生职业倦怠的牙医。可以通过培训来提高 EI 水平,从而降低牙科医生的职业倦怠风险,尽管在高风险人群(即高度敏感的牙科医生)中,这种培训似乎还不够。这表明,寻找其他可能的因素来保护高度敏感的牙医免受职业倦怠的影响非常重要。Int J Occup Med Environ Health.2024;37(5).
Job burnout among Polish dentists: the role of sensory processing sensitivity and emotional intelligence.
Objectives: Job strain in dentistry makes the profession highly susceptible to occupational burnout. People with high sensory processing sensitivity (SPS) perceive workplace as more stressful and more demanding. Emotional intelligence (EI) is both a trait and an ability, which helps individuals adapt to the environment and reduces burnout. This study examines the relationship between SPS and burnout among Polish dentists and whether EI may be a protective factor against burnout in a group of highly sensitive dentists.
Material and methods: Polish dentists (N = 201) answered a questionnaire, the short Polish version of the Highly Sensitive Person Scale (HSPS-10), the Trait Emotional Intelligence Questionnaire - Short Form (TEIQue-SF), the Oldenburg Burnout Inventory (OLBI), and the demographic data questionnaire.
Results: Moderated hierarchical regression analyses showed that SPS can predict burnout factors exhaustion (p < 0.001) and disengagement (p = 0.012). Higher trait SPS was associated with higher burnout factors. Emotional intelligence can predict burnout factors exhaustion (p < 0.001) and disengagement (p < 0.001). Higher trait EI was associated with lower burnout factors. Also it turned out that EI moderates the relationship between SPS and burnout factor exhaustion (p = 0.015). The findings illustrated reverse buffering effect. UNIANOVA analyses showed that EI may have a protective effect on burnout, although this effect decreases for exhaustion and disappears for disengagement in the group of highly sensitive dentists.
Conclusions: Sensory processing sensitivity can help to identify dentists who are at risk to develop burnout. Training to increase EI levels can be implemented to reduce the risk of burnout among dentists, although it appears to be insufficient among those at higher risk, i.e., the highly sensitive dentists. This shows the importance of searching for other possible factors that could protect highly sensitive dentists from burnout. Int J Occup Med Environ Health. 2024;37(5):524-34.
期刊介绍:
The Journal is dedicated to present the contemporary research in occupational and environmental health from all over the world. It publishes works concerning: occupational and environmental: medicine, epidemiology, hygiene and toxicology; work physiology and ergonomics, musculoskeletal problems; psychosocial factors at work, work-related mental problems, aging, work ability and return to work; working hours, shift work; reproductive factors and endocrine disruptors; radiation, ionizing and non-ionizing health effects; agricultural hazards; work safety and injury and occupational health service; climate change and its effects on health; omics, genetics and epigenetics in occupational and environmental health; health effects of exposure to nanoparticles and nanotechnology products; human biomarkers in occupational and environmental health, intervention studies, clinical sciences’ achievements with potential to improve occupational and environmental health.