Machireddy Deeksha R, Reid Claudia G, Hollingsworth Joshua C, Redden David
College of Medicine, Edward Via College of Osteopathic Medicine (VCOM-Auburn), Auburn, USA.
Pharmacology, Edward Via College of Osteopathic Medicine (VCOM-Auburn), Auburn, USA.
Cureus. 2024 Aug 30;16(8):e68194. doi: 10.7759/cureus.68194. eCollection 2024 Aug.
Introduction Medical education is a rigorous and demanding journey that requires intellectual ability and emotional resilience. Burnout among medical students is a growing concern as it affects individuals' well-being and can have long-term implications on the quality of patient care. Recognizing the protective effects of healthy lifestyle factors such as sleep, physical activity, eating patterns, and screen time, various institutions have implemented wellness programs to promote students' mental and physical well-being. Objectives The main objective of this study was to assess for variations and associations between first- and second-year osteopathic medical students' physical activity, eating patterns, sleep, perceived stress, and phone screen use across 10 different time points throughout the school year. The secondary objective was to assess the impact of month-long health behavior challenges among participants in the five areas studied. Methods A prospective cohort study was performed regarding first- and second-year medical students' physical activity, eating patterns, sleep, perceived stress, and phone screen use, as respectively assessed by the Physical Activity Vital Sign and smartphone step count data; Starting the Conversation diet assessment; Single Item Sleep Quality Scale and a portion of the Pittsburgh Sleep Quality Index; Perceived Stress Scale; and smartphone screen time use data. The assessments, built-in Qualtrics (Qualtrics International Inc., Provo, USA), were sent via email and class-wide GroupMe text message at 10-time points, capturing the beginning, middle, and end of curricular blocks and seasonal breaks. Participants could win one of 20 $25 Amazon gift cards each time they completed the assessment. Behavior challenges were implemented at six of the 10-time points and focused on facilitating health behavior change among participants. Results The response rate for the 10 assessments was low, ranging from 7% to 13%. The means (±SD) for each outcome of interest combined across the 10 time points were as follows: physical activity = 112 (±100) minutes/week; step count = 4,627 (±3179) steps/day; water intake = 5.6 (±4.0) cups/day; diet score = 6.3 (±2.1) where 0 = most healthful and 16 = least healthful; perceived stress = 6.6 (±5.8) where 0 = lowest and 40 = highest; sleep = 6.7 (±1.0) hours/night; sleep quality = 6.3 (±1.8) where 0 = terrible and 10 = excellent; and phone screen time = 328.5 (±147) minutes/day. Statistical analysis indicated variation (p<0.05) in physical activity minutes, steps per day, water intake, diet score, and phone screen time minutes over time. Given low participation, only 6 of the 10 behavior challenges were implemented, in which the participation rate ranged from 36% to 65% of assessment participants. Conclusion Results indicate room for improvement regarding lifestyle factors among medical students' physical activity, eating patterns, sleep, perceived stress, and phone screen time use. A primary limitation of this study is the low participation rate. Building on these efforts, students are developing and delivering monthly wellness workshops, including a research component.
引言
医学教育是一段严谨且要求颇高的历程,需要具备智力水平和情感韧性。医学生的职业倦怠问题日益受到关注,因为它会影响个人的幸福感,并可能对患者护理质量产生长期影响。鉴于睡眠、体育活动、饮食模式和屏幕使用时间等健康生活方式因素具有保护作用,各机构纷纷实施健康促进项目,以提升学生的身心健康水平。
目标
本研究的主要目的是评估整骨医学专业一、二年级学生在学年内10个不同时间点的体育活动、饮食模式、睡眠、感知压力和手机屏幕使用情况的差异及关联。次要目的是评估为期一个月的健康行为挑战对参与研究的五个领域的参与者的影响。
方法
针对一、二年级医学生的体育活动、饮食模式、睡眠、感知压力和手机屏幕使用情况开展了一项前瞻性队列研究,分别通过《身体活动生命体征》和智能手机步数计数数据、《开启对话》饮食评估、单项睡眠质量量表以及匹兹堡睡眠质量指数的一部分、感知压力量表和智能手机屏幕使用时间数据进行评估。这些评估通过Qualtrics(美国普罗沃的Qualtrics国际公司)进行,在10个时间点通过电子邮件和班级范围的GroupMe短信发送,涵盖课程模块的开始、中间和结束以及季节性假期。参与者每次完成评估都有机会赢得20张价值25美元的亚马逊礼品卡中的一张。在10个时间点中的6个实施了行为挑战,重点是促进参与者的健康行为改变。
结果
10次评估的回复率较低,在7%至13%之间。10个时间点综合的各感兴趣结果的均值(±标准差)如下:体育活动 = 每周112(±100)分钟;步数 = 每天4,627(±3,179)步;饮水量 = 每天5.6(±4.0)杯;饮食评分 = 6.3(±2.1),其中0表示最健康至16表示最不健康;感知压力 = 6.6(±5.8),其中0表示最低至40表示最高;睡眠 = 每晚6.7(±1.0)小时;睡眠质量 = 6.3(±1.8),其中0表示极差至10表示极佳;手机屏幕使用时间 = 每天328.5(±147)分钟。统计分析表明,随着时间推移,体育活动分钟数、每日步数、饮水量、饮食评分和手机屏幕使用时间分钟数存在差异(p<0.05)。由于参与度较低,10项行为挑战中仅实施了6项,参与率在评估参与者的36%至65%之间。
结论
结果表明,医学生在体育活动、饮食模式、睡眠、感知压力和手机屏幕使用时间等生活方式因素方面仍有改进空间。本研究的一个主要局限性是参与率较低。在这些努力的基础上,学生们正在开发并每月举办健康促进工作坊,其中包括一个研究部分。