Stress among Portuguese Medical Students: the EuStress Solution

Silva, Eliana; Aguiar, Joyce; Reis, Luís Paulo; Sá, Jorge Oliveira e; Gonçalves, Joaquim; Carvalho, Vı́tor

doi:10.1007/s10916-019-1520-1

Cited by 26 publications

(27 citation statements)

References 29 publications

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“…A total of 15 studies were identified for inclusion in this review based on the search term “stress”. Similar to anxiety, the use of cardiac metrics, namely heart rate and heart rate variability, were the predominant physiological markers of stress detection in 10 of the 15 studies which detected stress [ 9 , 12 , 14 , 17 , 18 , 20 , 22 , 23 , 26 , 28 ]. It has been reported that altered HRV measurements are related to ANS dysregulation associated with many cardiovascular diseases including cardiac ischemia, myocardial infarction and heart failure, diabetes, and obesity, as well as mental health conditions including anxiety and depression [ 9 , 46 ].…”

Section: Discussionmentioning

confidence: 99%

“…Further, the study reported that GSR sensors are currently the preferred method for stress detection, due to ease of setup, its compact nature, and overall simplicity when compared with EGG and ECG [ 19 ]. One study performed by Silva et al (2020), using the Microsoft Smartband 2™, measured HRV in conjunction with skin conductance, which, when incorporated into a machine learning algorithm, could detect stress [ 26 ]. Multiple HRV parameters were significantly different during stressful conditions than baseline, notably mean R–R and PSS 13 scores.…”

Section: Discussionmentioning

confidence: 99%

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Smart Devices and Wearable Technologies to Detect and Monitor Mental Health Conditions and Stress: A Systematic Review

Hickey

Chalmers

Newton

et al. 2021

Sensors

137

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Recently, there has been an increase in the production of devices to monitor mental health and stress as means for expediting detection, and subsequent management of these conditions. The objective of this review is to identify and critically appraise the most recent smart devices and wearable technologies used to identify depression, anxiety, and stress, and the physiological process(es) linked to their detection. The MEDLINE, CINAHL, Cochrane Central, and PsycINFO databases were used to identify studies which utilised smart devices and wearable technologies to detect or monitor anxiety, depression, or stress. The included articles that assessed stress and anxiety unanimously used heart rate variability (HRV) parameters for detection of anxiety and stress, with the latter better detected by HRV and electroencephalogram (EGG) together. Electrodermal activity was used in recent studies, with high accuracy for stress detection; however, with questionable reliability. Depression was found to be largely detected using specific EEG signatures; however, devices detecting depression using EEG are not currently available on the market. This systematic review highlights that average heart rate used by many commercially available smart devices is not as accurate in the detection of stress and anxiety compared with heart rate variability, electrodermal activity, and possibly respiratory rate.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Smart Devices and Wearable Technologies to Detect and Monitor Mental Health Conditions and Stress: A Systematic Review

Hickey

Chalmers

Newton

et al. 2021

Sensors

137

View full text Add to dashboard Cite

show abstract

“…A person under chronic stress is more likely to exhibit pathophysiological changes contributing to metabolic syndrome and insulin resistance—conditions closely affiliated with weight increases [ 10 , 11 , 21 ]. In contrast, eustress or beneficial stress has been purported to be associated with higher ratings on wellbeing and may be indicative of better psychosocial health which may lead to students making better health choices and thereby supporting weight maintenance [ 22 ].…”

Section: Resultsmentioning

confidence: 99%

Lifestyle and psychosocial factors associated with maintenance of normal body mass index in college students: a cross sectional study

et al. 2020

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Objectives The purpose of this study was to identify lifestyle and psychosocial factors associated with maintenance of normal body mass index (BMI, 18.5–24.9 kg/m2). Undergraduate students (n = 2781; 7.1% response rate) at a Big Ten university responded to a survey in 2018. BMI was calculated from the reported weight and height at the time of the survey and upon entering the university. Logistic regression analyses examined lifestyle and psychosocial health factors associated with maintenance of normal BMI by academic year. Results Current BMI was within normal range for 68.8% of freshmen and 60.6% of seniors. Never consuming fast food was a significant predictor for maintaining normal BMI in sophomores (OR 3.78; 95% CI 1.61, 8.88; p < 0.01) and juniors (OR 7.82; 95% CI 2.14, 28.65; p < 0.01). In seniors, better psychosocial health (OR 1.40; 95% CI 1.12, 1.76; p < 0.01) was the only significant predictor for maintaining one’s normal freshman BMI category. Among those within the normal BMI range upon entering the university, psychosocial health (OR 1.31; 95% CI 1.10, 1.55; p < 0.01) was the only predictor of retaining one’s absolute BMI within ± 3% as a senior. Prospective studies are needed to better understand the interaction between environment, behavior, and psychological health involved in retaining normal weight.

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“…Moreover, real-time monitoring through electronic devices is a new way to make students taking sense of their current state, by assessing heart rate, for instance, sending an alert able to remind the need to change attitudes to decrease stress levels [ 43 ]. Information should be easily available in accessible sources, with scientific rigor and topicality [ 44 ].…”

Section: Discussionmentioning

confidence: 99%

Stress among Portuguese Medical Students: A National Cross-Sectional Study

Oura

Moreira

Santos

2020

Journal of Environmental and Public Health

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Introduction. The medical course is extremely stimulating but also demanding, and it can interfere with students’ mental health. Stress leads to lower life quality, academic performance, and ultimately to a lower quality of patient care delivered. Objective. To analyse stress levels of sixth-year medical students who attend Portuguese colleges. Methodology. This observational cross-sectional study involved Portuguese medical students attending the sixth year of all Portuguese faculties. We applied an online self-response questionnaire, including the 10 items Perceived Stress Scale (PSS) to assess stress levels and sociodemographic variables. Logistic regression was used to estimate the weight of the studied determinants on stress levels. Results. A total of 501 participants were included for analysis (69.5% females), with a median age of 24 years old. We found significant levels of stress in 49.9% (95% CI: 45.5–54.3%), with 20.8% of total students presenting extremely high levels, irrespective of age, gender, and faculty. Stress was higher when students presented bad sleeping and eating habits, lack of ability to manage time, dissatisfaction with social life and academic experience, and low family support. Also, these students are more worried about their future and present a higher degree of concern about their graduation test performance. Conclusion. This study found high stress levels among Portuguese medical students, associated with social determinants and the intrinsic complexity of the course. This is worrying, and it elucidates the importance of coping strategies to make students deal with stress and be healthier, currently and in the future.

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Stress among Portuguese Medical Students: the EuStress Solution

Cited by 26 publications

References 29 publications

Smart Devices and Wearable Technologies to Detect and Monitor Mental Health Conditions and Stress: A Systematic Review

Smart Devices and Wearable Technologies to Detect and Monitor Mental Health Conditions and Stress: A Systematic Review

Lifestyle and psychosocial factors associated with maintenance of normal body mass index in college students: a cross sectional study

Stress among Portuguese Medical Students: A National Cross-Sectional Study

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