Literature DB >> 35945725

Prevalence of stress among nursing students: A protocol for systematic review and meta-analysis.

Yan-Xue Zheng1, Jia-Ru Jiao1, Wen-Nv Hao2.   

Abstract

OBJECTIVE: Our main purpose is to evaluate the prevalence of stress among nursing students systematically.
METHODS: Adhering to the preferred reporting items for Systematic Reviews and Meta-analyses guidelines, we carefully searched ten databases, including PubMed, Cochrane, Web of Science, Scopus, ScienceDirect, SpringerLink, EMBASE, CNKI, Wanfang, and China Biomedical Literature Service System, to collect cross-sectional studies on nursing students. Two researchers independently screened the literature, extracted the data, and evaluated the risk of bias in the included studies.
RESULTS: From 1397 studies, 27 cross-sectional studies were included, including 7116 subjects. Meta-analysis showed that the prevalence of low-level stress was 0.24% [95% CI (0.24% to 0.25%)], the prevalence of middle level stress was 0.35% [95% CI (0.35% to 0.35%)], and the prevalence of high-level stress was 0.10% [95% CI (0.10% to 0.10%)]. The results of subgroup analysis showed that stress levels are different in different genders, diagnostic criteria for stress, years of publication, and regions.
CONCLUSIONS: This review identified the stress levels of nursing interns, which were mainly moderate. This result makes nursing administrators and nursing educators pay more attention to the mental health problems of nursing interns, which can actively take measures to promote the physical and mental health of nursing students, improve the quality of nursing students' practice, and further promote the development of the nursing profession.
Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc.

Entities:  

Mesh:

Year:  2022        PMID: 35945725      PMCID: PMC9351890          DOI: 10.1097/MD.0000000000029293

Source DB:  PubMed          Journal:  Medicine (Baltimore)        ISSN: 0025-7974            Impact factor:   1.817


1. Introduction

Stress is a common human experience blamed for many ills.[ Stressors can be broadly defined as situations or events that potentially affect health outcomes[ because there is a gap between students’ needs in a specific clinical case and their resources or ability to cope with a task or situation.[ Stress, according to Selye, is a response to environmental stimuli.[ In the physical environment, stress results when 1 body exerts demands on another, such as 1 object placed on top of another thing: if the second object cannot withstand the pressure from the first object, the stress or anxiety it is exerting can cause the second object to collapse.[ Similarly, in biological systems such as the human body, unmitigated or uncontrolled stress can lead to physical and mental collapse, which ultimately can result in adverse health outcomes. Recent research concerning healthcare-related fields and stress has indicated that nursing students experience higher stress levels compared to other majors[ and that these levels are on the rise.[ Additionally, student nurse clinical experiences may adversely affect their learning outcomes, academic performance, overall health, well-being, quality of life,[ clinical routine,[ and even suicidal behavior. Eight hundred thousand people commit suicide every year, and even more attempt to do so.[ Despite advances in neuroscience and understanding of the pathophysiology of human behavior, suicide remains a baffling challenge.[ Scientific evidence suggests that the synergic role of genetics, exogenous and endogenous stressors, epigenetic and neuromodulators also play a role in the occurrence of suicide.[ There is a shortage of data addressing the prevalence of stress in nursing students. Therefore, identifying the majority of stressors in the clinical setting is necessary for providing measures that enable the development of healthy coping mechanisms that minimize stress and maximize student clinical learning.[ The purpose of this study is to provide a review of research that addresses the problem of stress in nursing students and to examine the effects of gender and world region on the prevalence of anxiety among nursing students.

2. Materials and methods

2.1. Eligibility criteria

To collect data on the incidence of stress, including in the review were quantitative cross-sectional studies, which had: (a) Published in the English or Chinese language; (b) Analyzed the prevalence of stress among nursing students with sufficient statistical information; (c) Based on a sample of nursing students or on a mixed sample in which the results for nursing students are provided separately; (d) Utilized standardized validated instruments for assessing the prevalence; (e) Peer-reviewed studies available in full text.

2.2. Literature retrieval strategy

To ensure the comprehensiveness of the literature, and our leading research object is nursing students, so ten databases, including PubMed, Cochrane, web of science, Scopus, ScienceDirect, SpringerLink, EMBASE, CNKI, Wanfang, and China Biomedical LiteratureService System, were searched to collect cross-sectional studies on nursing interns. The retrieval time was from the establishment of the database to June 2021. The retrieval is carried out by combining subject words with free words and is adjusted according to the specific database. Chinese keywords include nursing students, pressure, influencing factors, etc. English critical words, including stress, nursing students, etc. The foreign language retrieval strategy is (anxiety* OR“life stress*”OR “psychological stress* ”) AND(nurs* n2 student OR undergraduate nurse OR “Students, Nursing+” OR “Students, Nursing, Practical”). Taking PubMed as an example, the specific search strategy is shown in Figure 1.
Figure 1.

Search strategy.

Search strategy.

2.3. Literature screening and data extraction

Two researchers (ZYX and JJR) independently screened literature, extracted data, and cross-checked it. In case of disagreement, it shall be settled through discussion or negotiation with a third party (HWN). When selecting the articles, first read the title. After excluding the unrelated articles, please read the abstract and full text to determine whether they are included. Data extraction includes: ①basic information of the included studies: first author, year of publication, total sample size, survey period, the source region and influencing factor grade, etc. ②Outcome indicators: the number of cases with different stress levels and the total number of issues; ③the related elements of bias risk assessment.

2.4. Bias risk assessment of included studies

Two researchers independently evaluated the risk of bias in the included studies and cross-checked them. They decided or consulted a third party (HWN) when they had different opinions. Descriptive cross-sectional studies are usually used to describe the prevalence and incidence of disease. Hence, the Agency for Healthcare Quality and Research (AHRQ)[ evaluates cross-sectional studies/prevalence studies. AHRQ consists of 11 items. If the answer is “no” or “unclear,” the item score is “0”; If the answer is “yes,” the item score is “1”. A score of 8 to 11 is considered high quality, 4 to 7 moderate quality and below 4 poor quality. After the independent evaluation, 2 researchers will discuss and reach a consensus. If there is any disagreement, the third researcher will arbitrate, or the research group will discuss and decide.

2.5. Statistical analysis

Endnote X9 was used to summarize the literature. Excel software was used for data extraction management, statistics, and descriptive analysis of outcome indicators. Revman 4.1 software was used to merge the prevalence of low, medium, and high-stress levels in each study, and subgroup analysis was carried out according to the source area, gender, and time of examination. The chi-square test and I² index were used to determine whether there was heterogeneity among studies, and the heterogeneity of effect sizes was analyzed. The fixed-effect model was adopted if there was no heterogeneity among studies (P > 0.1, I² < 50%). The random-effects model was used to combine effect sizes with heterogeneity among studies (P < 0.1, I² ≥ 50%). The data extracted was utilized to compute the standard error of the prevalence of stress (SE) for each included study, using the below equation number of nursing students (n) and the majority of stress in nursing students (p). This was conducted for the overall prevalence and the prevalence among the subgroups identified.

2.6. Ethical consideration

Ethical approval was not required based on already published secondary data and the meta-analysis nature.

3. Results

3.1. Literature screening process and results

A total of 1397 articles were identified. Three hundred thirteen duplicate reports were removed, leaving 1084 papers for further screening. Subsequently, 2 reviewers read titles and abstracts to eliminate 970 unqualified articles in nonEnglish or Chinese; conference summary, guide, index abstracts; qualitative studies; reviews or meta-analyses; and irrelevant to the topic. In total, 114 articles were included for full-text review. Eighty-five complete pieces were eliminated from these, such as unable to obtain the complete text, duplicate content or incomplete data, inconsistent research object and content, and noncross-sectional research type. Finally, 27 studies[ met the inclusion criteria in Figure 2.
Figure 2.

literature screening process and results.

literature screening process and results.

3.2. Basic characteristics of included studies

In total, 27 articles were included in this review. Studies were internationally spread from Brazil (n = 2), China (n = 15), Egypt (n = 1), India (n = 1), Iran (n = 2), Morocco (n = 1), Norway (n = 1), Poland (n = 1), Saudi Arabia (n = 1), Sweden (n = 1), mixed regions: Poland, Slovakia, and Spain (n = 1). The included literature was published from 2005 to 2020. The sample size of the study subjects was 1519 at most and 47 at least, and the findings of these studies are based on a total of 7116 participants. The 27 articles all used cross-sectional studies, and all quantitative studies used validated scales for data collection. The most popular scales for measuring stress level were the Perceived Stress Scale (PSS), Assessment of Stress in Nursing Students (ASNS), Nursing Students’ Perceived Clinical Stressors Scale (NSPCC), the Persian Questionnaire of Stressful Sources (PQSS), etc. The basic characteristics of the included studies are shown in Table 1.
Table 1

Basic characteristics of included studies.

Pressure level (examples)
ReferenceStudy designDate collectionCountryInstrumentsSubjectsLowMediumHigh
Marcela Corrêa Barboza1(2012)Cross-sectionalJuly to September 2009BrazilVisual analogue scale4728
Ewa Kupcewicz(2020)Cross-sectionalMay 2018 to April 2019PolandPerceived Stress Scale100298105201
Spain(PSS-10)397891
Slovakia41128140
Leticia Oliveira Bosso(2017)Cross-sectionalFebruary to March 2016BrazilAssessment of Stress in Nursing Students (ASNS)8320
Rafati, F(2020)Cross-sectionalNovember 2018 to January 2019IranNursing Students’ Perceived Clinical Stressors Scale (NSPCSS)43035230157
Lahcen Bandadi(2020)Cross-sectionalNot reportedMoroccoPerceived stress scale (PSS)320
Maya Sahu2019)Cross-sectional2017IndiaPerceived Stress Scale (PSS)102236910
AMostafa Amr(2011)Cross-sectional2008-2009EgyptPerceived Stress Scale (PSS)373223150
Kleiveland, Benedicte(2015)Cross-sectionalbetween Januaryand April 2014NorwayThe Impact of Event Scale (IES)22715077
The Quality of life scale10822939
Rezaei, B(2020)Cross-sectionalMay in 2016IranThe Persian version of Cohen
PPerceived Stress Scale (PSS) andthe Persian Questionnaire of Stressful Sources (PQSS)
Karin Blomberg(2014)Cross-sectional2011SwedenNumerical rating scale18579
Iwona Bodys-Cupak(2016)Cross-sectionalNot reportedPolandPerceived Stress Scale 10 (PSS-10)3944497253
Yi Luo(2018)Cross-sectionalNovember 18, 2015to January 6, 2016ChinaC-PSQ1519
Emad A. PhD(2020)Cross-sectionalNot reportedSaudi ArabiaDepression Anxiety Stress Scales54483
Xue-qin Sun(2008)QuestionnaireJune 2006 - June 2007ChinaPsychological StressorScale (self-design)11027
Mei Chen(2012)Questionnaire investigationSeptember to December 2011ChinaQuestionnaire on nursing student internship stress source and pressure level (self-design)9539542
Lu-ping Ding(2016)Questionnaire investigationFebruary to April 2015ChinaNursing Student Internship Pressure Scale (Xiao Meilian)4603598417
Li-hong Li(2013)Questionnaire investigationNot reportedChinaPressure gauge (self-designed)55102916
Jing Wang(2007)Questionnaire investigation2005-2006ChinaChina Health Care Pressure Source Scale (Cao Ying)10763413
Ni-na Li(2019)Questionnaire investigationNot reportedChinaChina Health Pressure Source Scale (Cao Ying)12964623
Tian-yang Chen(2019)Questionnaire investigationNot reportedChinaPressure source gauge (self-design)90234522
Ping Lin(2007)Questionnaire investigationThe 20th week of clinical practiceChinaPressure source gauge (self-design)8695819
Li-rong Yu(2005)Questionnaire investigationJuly 2004 to May 2005ChinaStudent Study Pressure Survey (self-designed)11143632
Di Zhang(2012)Questionnaire investigationNot reportedChinaChina Health Care Pressure Source Scale (Cao Ying)189135522
Jing Huang(2019)Questionnaire investigationThe first is from mid July to early August, and the second is from late October to mid NovemberChinaScale of trainee student stress source (Zhang Guixiang)334662671
Fang Huang(2016)Questionnaire investigationNot reportedChinaChina Health Care PressureSource Scale (Cao Ying)12077421
Shuang Fu(2012)Questionnaire investigationMay 2009 to March 2010ChinaThe Psychological Stressor Scale31076
Qu Guo(2017)Questionnaire investigationOctober 2012 to October 2014ChinaSurvey scale of male Stress source in TCM colleges (designed by itself)7624
Basic characteristics of included studies.

3.3. Basic risk assessment results of included studies

The bias risk assessment results of the included studies are shown in Table 2. Among the 27 articles, the quality assessment grade of 1 literature was high, and 26 kinds of literature were medium.
Table 2

Bias risk assessment results of included studies.

Scoregrade
Marcela Corrêa Barboza1 (2012)YYYNNYYUNYYN7Medium
Ewa Kupcewicz (2020)YYYYNNYYYYUN8High
Leticia Oliveira Bosso (2017)YYYYNNYNYYN7Medium
Rafati (2020)YYYYNYNUNNYUN6Medium
Lahcen Bandadi (2020)YYYYNNYUNYYN7Medium
Maya Sahu (2019)YYYNNNNYYYUN6Medium
AMostafa Amr (2011)YYYYNYNNNYN6Medium
Kleiveland (2015)YYYYNNNUNUNYUN5Medium
Rezaei (2020)YYYNNYYUNUNYUN6Medium
Karin Blomberg (2014)YYYYNNNYYNN6Medium
Iwona Bodys-Cupak (2016)YYYYNNNNNYUN5Medium
Yi Luo(2018)YYYYUNNNNNYN5medium
Emad A. Shdaifat, PhD (2020)YYYYUNUNNNNYN5Medium
Xue-qinSun (2008)YNYYNNNNNYN4Medium
Mei Chen (2012)YNYYNNNNYYUN5Medium
Lu-ping Ding (2016)YNYYUNNNYNYN5Medium
Li-hong Li (2013)YNYYNNNNYYUN5Medium
Jing Wang (2007)YNYYNYNNNNN4Medium
Ni-na Li (2019)YNYYNNNNNYN4Medium
Tian-yang Chen (2019)YYYYNNNNNNN4Medium
Ping Lin (2007)YNYYNNNNNYN4Medium
Li-rong Yu (2005)YNYYNNNNYYN5Medium
DiZhang (2012)YYYYNNNNYYUN6Medium
Jing Huang(2019)YYYYNYNYNYN7Medium
FangHuang (2016)YYYYNNNNNYUN5Medium
ShuangFu (2012)YNYYNNNNYYUN5Medium
QuGuo (2017)YNYYNNNNYYN5Medium
Bias risk assessment results of included studies.

3.4. Meta-analysis results

3.4.1. The total incidence rate.

27 studies[ were included, including 7116 patients. The results of meta-analysis showed that the prevalence rate of low-level stress was 0.24% [95% CI (0.24% to 0.25%)], the prevalence rate of medium level stress was 0.35% [95% CI (0.35% to 0.35%)], and the prevalence rate of high-level stress was 0.10% [95% CI (0.10% to 0.10%)], as shown in Figures 3–5.
Figure 3.

A meta-analysis of low-level stress rates.

Figure 5.

A Meta-analysis of high-level stress rates.

A meta-analysis of low-level stress rates. A meta-analysis of medium level stress rates. A Meta-analysis of high-level stress rates.

3.4.2. Prevalence of stress in different genders.

Men and women were enrolled in 10[ low-level stress studies, 8[ medium level stress studies, and 8[ high-level stress studies. The results of random-effects model meta-analysis showed that the prevalence rates of low, medium, and high levels of stress in male nursing students were 0.14% [0.14 to 0.14], 0.44% [0.44 to 0.44], 0.16% [0.14 to 0.14], and that in female nursing students were 0.14% [0.14 to 0.14], 0.44% [0.44 to 0.44], and 0.16% [0.14 to 0.14]. Chi square test showed that the differences between the subgroups were statistically significant (P < 0.00001).

3.4.3. Prevalence of pressure levels of different diagnostic criteria.

Taking PSS-10[ as the diagnostic criteria, the low, medium, and high-pressure levels were included in 6[ studies, and the soft, medium and high levels of anxiety were 0.15%, 0.37%, and 0.36%, respectively. The Chinese nursing students’ stressor scale compiled by Cao Ying[ as the diagnostic criteria, the low and medium pressure levels were included in 4[ studies. The high levels of pressure were included in 3[ studies, and the low, medium, and high levels of anxiety were included in 3[ studies. The prevalence of high-level stress was 0.66%, 0.32%, and 0.06%, respectively.

3.4.4. Prevalence of stress level in different survey time.

3[ low stress level studies, 4[ medium stress level studies and 3[ high stress level studies were included before 2010 (including 2010). 17[ low stress level studies and 16[ medium stress level studies were included after 2010. There were 17 high stress level studies.[ Meta analysis of random-effects model showed that the prevalence of low, medium and high level of stress before 2010 were 0.22% [0.22 to 0.22], 0.42% [0.42 to 0.42], 0.02% [0.02 to 0.02], respectively. After 2010, the prevalence of low, medium and high level of stress were 0.25 [0.25 to 0.25], 0.35 [0.35 to 0.35], 0.15 [0.15 to 0.15] respectively. Chi square test showed that the differences between the subgroups were statistically significant (P < 0.00001).

3.4.5. Prevalence of stress level in different areas.

Meta analysis of random-effects model showed that the prevalence of low, medium and high levels of stress in Europe was 0.14% [0.14 to 0.14], 0.28% [0.28 to 0.28], 0.37% [0.37 to 0.37] respectively. The prevalence rate of low, medium, and high levels in Asia were 0.29% [0.29 to 0.29], 0.35% [0.35 to 0.35], and 0.05% [0.05 to 0.05]. Others are shown in Table 3.
Table 3

Subgrop analysis.

ProjectNumber of studies includedIncidence rate (95%CI)I2 valueP valueEffect model
GenderMaleLow level11[16,17,20,26,28,30,36,3840]0.14[0.14,0.14]100%<0.00001Random
Medium level8[16,17,25,28,30,36,38,40]0.44 [0.44, 0.44]100%<0.00001Random
High level8[16,17,20,25,26,28,36,41]0.16 [0.16, 0.16]100%<0.00001Random
FemaleLow level11[16,17,20,26,28,30,36,3840]0.14[0.14,0.14]100%<0.00001Random
Medium level8[16,17,25,28,30,36,38,40]0.44 [0.44, 0.44]100%<0.00001Random
High level8[16,17,20,25,26,28,36,41]0.16 [0.16, 0.16]100%<0.00001Random
Diagnostic criteriaPSS-10Low level6[17,2022,24,26]0.15 [0.15, 0.15]100%<0.00001Random
Medium level6[17,2022,24,26]0.37 [0.37, 0.37]100%<0.00001Random
High level6[17,2022,24,26]0.36 [0.36, 0.36]100%<0.00001Random
China Health Care Pressure Source Scale (Cao Ying)Low level4[33,34,38,40]0.66 [0.66, 0.66]100%<0.00001Random
Medium level4[33,34,38,40]0.32 [0.32, 0.33]100%<0.00001Random
High level3[33,38,40]0.06 [0.06, 0.06]100%<0.00001Random
Survey timeBefore 2010Low level3[33,35,37]0.22 [0.22, 0.22]100%<0.00001Random
Medium level4[29,33,35,37]0.42 [0.42, 0.42]100%<0.00001Random
High level3[3,35,37]3]0.02 [0.02, 0.02]100%<0.00001Random
After 2010Low level17[16,17,1924,26,28,3032,36,38,40,42]0.25 [0.25, 0.25]100%<0.00001Random
Medium level16[17,1922,24,26,28,3032,34,36,3840]0.35 [0.35, 0.35]100%<0.00001Random
High level17[1726,28,30,32,34,36,41,42]0.15 [0.15, 0.15]100%<0.00001Random
areaEuropeLow level4[17,20,23,26]0.14 [0.14, 0.14]100%<0.00001Random
Medium level2[17,26]0.28 [0.28, 0.28]100%<0.00001Random
High level5[17,20,23,25,26]0.37 [0.37, 0.37]100%<0.00001Random
AsiaLow level15[19,21,24,28,3040]0.29 [0.29, 0.29]100%<0.00001Random
Medium level15[19,21,24,2830,3235,37,3942]0.35 [0.35, 0.35]100%<0.00001Random
High level12[19,21,24,2830,3336,38,42]0.05 [0.05, 0.05]100%<0.00001Random
Subgrop analysis.

4. Discussion

The results of this study indicate that the overall prevalence of low-level stress of nursing students is 0.24% [95% CI (0.24% to 0.25%)], the prevalence of medium level stress is 0.35% [95% CI (0.35% to 0.35%)], and the prevalence of high-level stress is 0.10% [95% CI (0.10% to 0.10%)]. This implies that the overall stress level of nursing interns is mainly at the medium level, which is consistent with the research results of Zhu Shuang Li.[ College is the most active period of individual psychological change and psychological contradictions and pressure. The causes of college students’ psychological pressure are related to the current competitive social environment and students’ physical and mental development.[ Chinese studies have found that the biggest stressors for nursing undergraduates are preparation and examination, followed by graduation assignment, social perception of the major, and the number of learning tasks.[ Other research has found that the biggest source of pressure for nursing undergraduates is the requirement of learning.[ Stress has a wide range of effects, affecting sleep, memory, concentration, and appetite.[ Students’ mental health can be affected and may even lead to thoughts of suicide. This meta-analysis suggests that nursing students suffer primarily in the medium range during clinical rotations. However, additional life stressors such as illness, family conflict, financial or housing problems can increase this level. The stress level of male and female interns is similar and at a medium level. However, nursing programs tend to have a female majority, [ limited to this review. In general, gender studies have found that females have higher overall stress levels than males.[ This may be because male nursing students have better employment prospects and advantages than female nursing students.[ Female nursing students are busy obtaining various certificates and preparing for postgraduate exams to relieve the pressure after graduation, resulting in excellent learning pressure.[In terms of interpersonal communication, female students are more sensitive than male students. They are prone to conflicts in the process of getting along with classmates, resulting in certain psychological pressure due to improper handling of interpersonal relations.[ Therefore, in nursing education, we should help female nursing students deal with the interpersonal relationship between students and help them establish a support system to seek the object that can be told. The low, medium, and high-pressure levels of PSS-10 were 0.15%, 0.37%, and 0.36%, respectively, with medium pressure as the central pressure. The quiet, medium, and high-pressure levels of the China Health Care Pressure Source Scale (Cao Ying) were 0.66%, 0.32%, and 0.06%, respectively, mainly low-level stress. It may be related to the functional area and population of the measurement tool. There is currently no widely used scale for measuring pressure in nursing students: the Assessment of Stress in Nursing Students (ASNS) was shown to be a reliable tool for use with the Spanish students, but it is not widely used in other countries; the Perceived Stress Scale (PSS) is not just a measure for nursing students. Before 2010, the low, medium, and high-stress levels’ prevalence rate was 0.22%, 0.42%, and 0.02%, respectively. After 2010, the standard, medium, and high-stress levels’ prevalence rate was 0.25%, 0.35%, and 0.15%, respectively. It shows that the stress level has always been in the middle class, and the prevalence of high-level stress has increased, which may be related to the tense pace of modern life and the acceleration of social development. With the improvements in medicine and nursing education, colleges need to cultivate and improve the overall quality of graduating students and provide counseling on interpersonal communication skills, coping, and guidance for students. The prevalence of low, medium, and high stress levels in Europe was 0.14%, 0.28%, and 0.37%, while in Asia was 0.29%, 0.35%, and 0.05%. In Europe, high-level pressure was surprising compared to the medium level noted in Asia. The high-stress level in the European studies may indicate the intensity of the program and requirements in these schools and a possible lack of mental health resources for nursing students.

5. Limitations of this review

While this review adopts a systematic process and incorporates a global perspective on ongoing research, it has several limitations. Many studies were excluded due to the inclusion criteria resulting in a small sample size. The results cannot be generalized because only English and Chinese papers were included in the review. The review only examined 7 English and 3 Chinese language databases. Finally, the characteristics of the meta-analysis showed high heterogeneity, and subgroup analysis did not significantly reduce the inter-study heterogeneity.

6. Conclusions

This systematic review has reported that the stress level of nursing students was mainly at a medium level. The results of subgroup analysis showed that stress levels are different in different genders, diagnostic criteria for stress, year of publication, and region. This review has attempted to illustrate that nursing students at minimum suffer moderate stress levels as a group. Nursing programs should address these stress levels to ensure a greater success rate of graduating nurses to increase the worldwide supply. Future studies should address factors that affect the stress level of nursing students, such as the influence of birthplace, family income, social and cultural factors on the stress level of nursing students.

Author contributions

All authors conceived and designed the study. ZYX and JJR organized and conducted the search and participated in the selection of the relevant articles and performed the quality assessment of the studies. HWN supervised the project and made the changes and corrections suggested by the reviewers.
  26 in total

Review 1.  Celiac disease.

Authors:  A Rostom; C Dubé; A Cranney; N Saloojee; R Sy; C Garritty; M Sampson; L Zhang; F Yazdi; V Mamaladze; I Pan; J McNeil; D Moher; D Mack; D Patel
Journal:  Evid Rep Technol Assess (Summ)       Date:  2004-06

2.  Swedish nursing students' experience of stress during clinical practice in relation to clinical setting characteristics and the organisation of the clinical education.

Authors:  Karin Blomberg; Birgitta Bisholt; Agneta Kullén Engström; Ulla Ohlsson; Annelie Sundler Johansson; Margareta Gustafsson
Journal:  J Clin Nurs       Date:  2014-01-07       Impact factor: 3.036

Review 3.  Psychiatric, psychosocial, and rehabilitative aspects of lung transplantation.

Authors:  J L Craven; J Bright; C L Dear
Journal:  Clin Chest Med       Date:  1990-06       Impact factor: 2.878

4.  The impact of a sense of self-efficacy on the level of stress and the ways of coping with difficult situations in Polish nursing students.

Authors:  Iwona Bodys-Cupak; Anna Majda; Joanna Zalewska-Puchała; Alicja Kamińska
Journal:  Nurse Educ Today       Date:  2016-07-14       Impact factor: 3.442

Review 5.  Resilience, stress, and psychological well-being in nursing students: A systematic review.

Authors:  Zhuang-Shuang Li; Felicity Hasson
Journal:  Nurse Educ Today       Date:  2020-04-19       Impact factor: 3.442

6.  Nursing students' stress during the initial clinical experience.

Authors:  H Admi
Journal:  J Nurs Educ       Date:  1997-09       Impact factor: 1.726

7.  Nursing students' stress and satisfaction in clinical practice along different stages: A cross-sectional study.

Authors:  Hanna Admi; Yael Moshe-Eilon; Dganit Sharon; Michal Mann
Journal:  Nurse Educ Today       Date:  2018-06-05       Impact factor: 3.442

8.  Stress among Mansoura (Egypt) baccalaureate nursing students.

Authors:  Amostafa Amr; Abdel-Hady El-Gilany; Hanan El-Moafee; Lamea Salama; Cristóbal Jimenez
Journal:  Pan Afr Med J       Date:  2011-03-16

9.  Analysis of the Relationship between Stress Intensity and Coping Strategy and the Quality of Life of Nursing Students in Poland, Spain and Slovakia.

Authors:  Ewa Kupcewicz; Elżbieta Grochans; Helena Kadučáková; Marzena Mikla; Marcin Jóźwik
Journal:  Int J Environ Res Public Health       Date:  2020-06-24       Impact factor: 3.390

Review 10.  Eradicating Suicide at Its Roots: Preclinical Bases and Clinical Evidence of the Efficacy of Ketamine in the Treatment of Suicidal Behaviors.

Authors:  Domenico De Berardis; Michele Fornaro; Alessandro Valchera; Marilde Cavuto; Giampaolo Perna; Marco Di Nicola; Gianluca Serafini; Alessandro Carano; Maurizio Pompili; Federica Vellante; Laura Orsolini; Annastasia Fiengo; Antonio Ventriglio; Kim Yong-Ku; Giovanni Martinotti; Massimo Di Giannantonio; Carmine Tomasetti
Journal:  Int J Mol Sci       Date:  2018-09-23       Impact factor: 5.923

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