Academic stress and active learning of nursing students: A cross-sectional study

Magnavita, Nicola; Chiorri, Carlo

doi:10.1016/j.nedt.2018.06.003

Cited by 36 publications

(28 citation statements)

References 34 publications

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“…The reason may be that being associated alone will increase adjustment problem [ 24 ]. This is similar to study done by international students attending United States universities and, nursing students in Rome, Italy, respectively [ 26 , 27 ]. Students that believe they had a stronger social support network perceived themselves to be more capable of coping with stressful academic situations, which suggests that a promising way can ease problems of academic adjustment and vice versa.…”

Section: Discussionsupporting

confidence: 90%

Prevalence of Adjustment Problem and Its Predictors among First-Year Undergraduate Students in Ethiopian University: A Cross-Sectional Institution Based Study

Ababu

Yigzaw²,

Besene³

et al. 2018

Psychiatry Journal

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Background Being in a university for the first time is an unpleasant event and time of heavy pressure relating to social things and dissatisfaction for several new faculty students. Adjustment difficulties are the foremost common issues among freshman students; World Health Organization area unit researched a full-of-life adjustment innovation in universities. Despite this reality, there is a few literature that identifies prevalence and factors related to the adjustment downside among university/college students. Methods Institutional based quantitative cross-sectional study style was conducted from May to June 2016. A total of 537 haphazardly elite students concerned within the study. The result adjustment downside was explained with Student Adjustment to College Questionnaire (SACQ). Data was described using descriptive analysis; logistic regression was used to assess the relation between adjustment downside and associated factors. An odds quantitative relation 95% confidence interval was used to point out the strength of association. Applied mathematics significance was declared as a p value less than 0.05. Result A total of 537 respondents participate with a response rate of eighty-five percent. the prevalence of adjustment downside among the respondents was 228 ( 42.5%). Of the respondents, 327 (60.9%) were male and therefore the mean (sd) age was 19 (+- 1) years. Being away from home and homesickness (AOR=4.15,95% CI: 2.46,2,99 and AOR=5. 9,95% CI: 2.35,14.76) and difficulties in socializing or making friends (AOR=3.99,95% CI:2.29,6.98) and difficulties in managing time and study skill (AOR=3.02,95% CI: 1.3,7.02) were abundant associated factors with adjustment downside. Conclusion The study confirms that freshman students joining university do face problems in adjusting themselves at the university. Homesickness, difficulties in socializing or making friends, and difficulties in managing time and study skill were found to be significant factors in adjustment downside.

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Section: Discussionsupporting

confidence: 90%

Prevalence of Adjustment Problem and Its Predictors among First-Year Undergraduate Students in Ethiopian University: A Cross-Sectional Institution Based Study

Ababu

Yigzaw²,

Besene³

et al. 2018

Psychiatry Journal

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“…Among the population who answered the questionnaire, 66% of the students are nursing majors. Obviously, compared with other clinical majors, nursing students would face higher stress when they are undergoing the strictly learning and work environments ( Magnavita and Chiorri, 2018 ). Additionally, medical interns have higher stress than the non-interns medical students ( Babar et al, 2004 ; Liselotte et al, 2006 ; Guo et al, 2019 ; Shadid et al, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

Effect of the Novel Coronavirus Pneumonia Pandemic on Medical Students’ Psychological Stress and Its Influencing Factors

Wan¹,

Liu

et al. 2020

Front. Psychol.

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In December 2019, an outbreak of the novel coronavirus pneumonia infection occurred in Wuhan City, Hubei Province, China, and it has received substantial attention globally. Few studies have investigated the psychological stress of students in Health University during the COVID-19 outbreak, and almost no work has attended to the influencing factors that may cause their psychological stress risk. This cross-sectional, surveybased, region-stratified study collected demographic data and mental measurement from 2,498 medical students and 1,177 non-medical students in 31 provinces from March 5, 2020, to March 10, 2020, in China. The psychological stress was measured using the Chinese Perceived Stress Scales (CPSS) under a self-design questionnaire. Sociodemographic, major characteristics, and knowledge of the novel coronavirus pneumonia were also identified as potential influencing factors of stress. The study revealed that medical students are suffering from more stress than non-medical students almost in all provinces of China. Four influencing factors including level of familiarity with the novel coronavirus, family income, major of students, and status of the intern student can be significantly related to students' stress in the medical group by using the univariate and multivariate analysis. Further analysis showed that students with low stress had a greater number of positive psychological emotions and a lower number of negative psychological emotions than with medical students with high stress. In addition, high stress caused low enthusiasm for learning in these medical students and lead to little/no willingness to do professional medical work in the future. In conclusion, we need to increase the level of our knowledge related to the novel coronavirus pneumonia to reduce stress and strongly focus on the special populations in medical students with certain features, such as intern students, clinical nursing students, and lowincome families, to improve their learning attitudes and establish positive professional mental outlooks.

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“…Also, anxiety and/ or depression is caused by personal, social, or educational stressors. Indeed, the individual type of stress response could occur through behavioral changes including sleep [58,59]. Other psychological measures also need to be included such as the smartphone and/or internet addiction scale as we suggested the problematic excessive use of these new technologies as well as a face to face investigation or the use of a diary.…”

Section: Discussionmentioning

confidence: 99%

Perception of Sleep Disturbances due to Bedtime Use of Blue Light-Emitting Devices and Its Impact on Habits and Sleep Quality among Young Medical Students

Jniene

Errguig

Hangouche

et al. 2019

BioMed Research International

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Introduction. The use of blue light-emitting devices (smartphones, tablets, and laptops) at bedtime has negative effects on sleep due to light stimulation and/or problematic excessive use. We aimed to evaluate, among young medical students, if the perception of sleep disturbances due to bedtime use of these devices is consistent with healthier habits and a better sleep quality. Materials and methods. 294 medical students in medicine and pharmacy from the Faculty of Medicine and Pharmacy of Rabat, Morocco, took part in this anonymous and voluntary cross-sectional study and answered an electronic questionnaire. Student and Mann–Whitney U tests were used to compare variables between 2 groups based on their perception of sleep disturbances. The level of significance was p≤0.05. Results. 286 students (97.3%) used a blue light-emitting smart device at bedtime before sleep, and sleep quality was poor (Pittsburgh Sleep Quality Index, PSQI > 5) in 101 students (35.3%). The perception of sleep disturbances due to this night usage was reported by 188 of them (65.7%). In this group, 154 (81.9%) used their device with all the lights turned off in the room (p=0.02), 34 (18.1%) put devices under pillows (p=0.04), 114 (60.6%) interrupted sleep to check messages (p<0.001), and the mean duration use of these technologies at bedtime was 2 h ± 23 min per night (p=0.02). Also, the mean sleep duration was 6.3 hours ± 1.25 (p=0.04), 119 (63.3%) presented fatigue on waking more than one time per week (p=0.04), and 76 (40.4%) presented poor sleep quality (75.2% of the students with PSQI > 5) (p=0.005). Conclusions. Despite the perception of sleep disturbances due to bedtime use of blue light-emitting devices, unhealthy sleep habits tend to be frequent in young medical students and worrying because it is associated to significant poor sleep quality.

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Academic stress and active learning of nursing students: A cross-sectional study

Cited by 36 publications

References 34 publications

Prevalence of Adjustment Problem and Its Predictors among First-Year Undergraduate Students in Ethiopian University: A Cross-Sectional Institution Based Study

Prevalence of Adjustment Problem and Its Predictors among First-Year Undergraduate Students in Ethiopian University: A Cross-Sectional Institution Based Study

Effect of the Novel Coronavirus Pneumonia Pandemic on Medical Students’ Psychological Stress and Its Influencing Factors

Perception of Sleep Disturbances due to Bedtime Use of Blue Light-Emitting Devices and Its Impact on Habits and Sleep Quality among Young Medical Students

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