Brief mindfulness coaching enhances selective attention in medical scientists: A pilot study

Medical scientists have dual commitments to medicine and research that create hectic and stressful work schedules that can impact well-being as well as cognition. In this study, we evaluated whether mindfulness coaching alongside wearable-based lifestyle monitoring can benefit this population. We conducted a waitlist-controlled intervention study (n = 43) that included participation from pre-clinical students, graduate students, and medical scientist faculty. Quantitative outcomes assessments included subjective measures of burnout, mindfulness, self-compassion, and wellbeing, as well as objective cognitive assessments. Results showed no impacts on subjective measures (p &gt; 0.2). Yet, notably objective performance on attentive cognition was improved at post-intervention (p = 0.003). Extent of improvement in selective attention was correlated with suppression of visual alpha oscillations – a neural marker for distractibility - measured using electroencephalography (EEG) (r = -0.32, p &..., Methods A total of 43 physician-scientists participated in the study (mean age: 28.95 ± 4.36 years, range: 23-43 years, 41.86% female). Most (76.7%&nbsp;) participants were recruited from the dual-degree MSTP at the University of California San Diego (UCSD), and 23.3% had graduated an MD PhD program and were now physicians/junior faculty. Recruitment occurred directly through an in-person, annual retreat as well as over email. All participants provided written informed consent for study participation in accordance with the Declaration of Helsinki, and all experimental procedures were approved by the UCSD Institutional Review Board &nbsp; All data collection and intervention took place during Fall 2021 through Summer 2022. Participants provided demographic information at the beginning of the study. Of the total 43 participants, 22 were randomly assigned to the well-being intervention group and 21 were assigned to a waitlist control group. The sample size within each group was powered to ..., , # **Title of Dataset: Brief mindfulness coaching enhances selective attention in medical scientists: A pilot study** Brief summary of dataset contents, contextualized in experimental procedures and results. **Description of the Data and file structure** The xlsx file contains the study data corresponding to (1) Quantitative Outcomes Data and (2) Qualitative Thematic Analysis. Spreadsheet (1) - Quantitative Outcomes Data GroupID: A (Intervention) or B (Waitlist) SubjectIndex: Subject Study ID Age Bin: Subject age bin in years, bin 1 (age <18), 2 (age 18-29), 3 (age 30-39), 4 (age 40-49), 5 (age 50-59), 6 (age 60-69), 7 (age 70-79), 8 (age 80-89), 9 (age >90) Gender: Subject Gender, 1: male, 2: female, 3: other Ethnicity: Subject ethnicity, 1: Caucasian; 2: Black/African American; 3: Native Hawaiian or Other Pacific Islander; 4: Asian; 5: Native American; 6: More than one ethnicity; 7: Other Pre-mbiexhaustion: Pre-Maslach Burnout Inventory exhaustion score of each participant P...,医学科研工作者肩负临床医疗与科学研究的双重职责，工作节奏紧凑且压力繁重，进而对身心健康与认知功能造成负面影响。本研究旨在评估正念训练联合可穿戴设备式生活方式监测，是否能为该群体带来获益。我们开展了一项等待名单对照干预研究（waitlist-controlled intervention study），参与者涵盖临床预科学生、研究生以及医学科研教职人员。量化结局评估包含职业倦怠、正念、自我同情与主观幸福感的主观量表测量，以及客观认知功能测评。结果显示，主观量表测量指标未出现显著变化（p>0.2）。但值得注意的是，干预后受试者的注意力认知客观表现得到显著改善（p=0.003）。选择性注意的改善程度与视觉α节律（一种反映注意力分散的神经标志物）的抑制程度相关——该指标通过脑电图（electroencephalography, EEG）测得，相关系数r=-0.32，p<…… ### 研究方法 本研究共纳入43名医学科研工作者，平均年龄为28.95±4.36岁，年龄跨度为23~43岁，女性占比41.86%。其中76.7%的受试者招募自加州大学圣迭戈分校（University of California San Diego, UCSD）的双学位医学科学家培训项目（Medical Scientist Training Program, MSTP），剩余23.3%为已获得医学博士（Doctor of Medicine, MD）与哲学博士（Doctor of Philosophy, PhD）双学位的执业医师/初级教职人员。招募工作通过线下年度研讨会与电子邮件两种渠道开展。所有受试者均签署书面知情同意书，本研究符合《赫尔辛基宣言》伦理规范，所有实验流程均通过UCSD机构审查委员会批准。 所有数据采集与干预工作均于2021年秋季至2022年夏季期间完成。受试者在研究初始阶段填写了人口统计学信息。43名受试者中，22名被随机分配至幸福感干预组，剩余21名分配至等待名单对照组。各组样本量均经功效分析确定以满足实验需求（原文未完整说明）。 # **数据集标题：短时正念训练可改善医学科研工作者的选择性注意：一项预实验研究** 数据集内容概述：结合实验流程与研究结果对数据集内容进行说明。 **数据与文件结构说明** 本数据集为XLSX格式文件，包含两类研究数据：(1) 量化结局数据；(2) 质性主题分析数据。 ##### 工作表1：量化结局数据 - 分组编号：A为干预组，B为等待名单对照组 - 受试者编号：受试者研究ID - 年龄组：按年龄段分组，组别1对应年龄<18岁，组别2对应18~29岁，组别3对应30~39岁，组别4对应40~49岁，组别5对应50~59岁，组别6对应60~69岁，组别7对应70~79岁，组别8对应80~89岁，组别9对应>90岁 - 性别：受试者性别，1为男性，2为女性，3为其他性别 - 种族：受试者种族，1为高加索人；2为黑人/非裔美国人；3为夏威夷原住民或其他太平洋岛民；4为亚裔；5为美洲原住民；6为多族裔；7为其他 - 预干预倦怠量表得分：每位受试者的马斯莱奇职业倦怠量表（Maslach Burnout Inventory, MBI）预测试倦怠维度得分 ……