| Literature DB >> 35945725 |
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.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
Figure 1.Search strategy.
Figure 2.literature screening process and results.
Basic characteristics of included studies.
| Pressure level (examples) | ||||||||
|---|---|---|---|---|---|---|---|---|
| Reference | Study design | Date collection | Country | Instruments | Subjects | Low | Medium | High |
| Marcela Corrêa Barboza1 | Cross-sectional | July to September 2009 | Brazil | Visual analogue scale | 47 | 28 | ||
| Ewa Kupcewicz | Cross-sectional | May 2018 to April 2019 | Poland | Perceived Stress Scale | 1002 | 98 | 105 | 201 |
| Spain | (PSS-10) | 39 | 78 | 91 | ||||
| Slovakia | 41 | 128 | 140 | |||||
| Leticia Oliveira Bosso | Cross-sectional | February to March 2016 | Brazil | Assessment of Stress in Nursing Students (ASNS) | 83 | 20 | ||
| Rafati, F | Cross-sectional | November 2018 to January 2019 | Iran | Nursing Students’ Perceived Clinical Stressors Scale (NSPCSS) | 430 | 35 | 230 | 157 |
| Lahcen Bandadi | Cross-sectional | Not reported | Morocco | Perceived stress scale (PSS) | 320 | |||
| Maya Sahu | Cross-sectional | 2017 | India | Perceived Stress Scale (PSS) | 102 | 23 | 69 | 10 |
| AMostafa Amr | Cross-sectional | 2008-2009 | Egypt | Perceived Stress Scale (PSS) | 373 | 223 | 150 | |
| Kleiveland, Benedicte | Cross-sectional | between Januaryand April 2014 | Norway | The Impact of Event Scale (IES) | 227 | 150 | 77 | |
| The Quality of life scale | 108 | 2 | 29 | 39 | ||||
| Rezaei, B | Cross-sectional | May in 2016 | Iran | The Persian version of Cohen | ||||
| PPerceived Stress Scale (PSS) andthe Persian Questionnaire of Stressful Sources (PQSS) | ||||||||
| Karin Blomberg | Cross-sectional | 2011 | Sweden | Numerical rating scale | 185 | 79 | ||
| Iwona Bodys-Cupak | Cross-sectional | Not reported | Poland | Perceived Stress Scale 10 (PSS-10) | 39 | 44 | 497 | 253 |
| Yi Luo | Cross-sectional | November 18, 2015to January 6, 2016 | China | C-PSQ | 1519 | |||
| Emad A. PhD | Cross-sectional | Not reported | Saudi Arabia | Depression Anxiety Stress Scales | 54 | 4 | 8 | 3 |
| Xue-qin Sun | Questionnaire | June 2006 - June 2007 | China | Psychological StressorScale (self-design) | 110 | 27 | ||
| Mei Chen | Questionnaire investigation | September to December 2011 | China | Questionnaire on nursing student internship stress source and pressure level (self-design) | 95 | 39 | 54 | 2 |
| Lu-ping Ding | Questionnaire investigation | February to April 2015 | China | Nursing Student Internship Pressure Scale (Xiao Meilian) | 460 | 359 | 84 | 17 |
| Li-hong Li | Questionnaire investigation | Not reported | China | Pressure gauge (self-designed) | 55 | 10 | 29 | 16 |
| Jing Wang | Questionnaire investigation | 2005-2006 | China | China Health Care Pressure Source Scale (Cao Ying) | 107 | 63 | 41 | 3 |
| Ni-na Li | Questionnaire investigation | Not reported | China | China Health Pressure Source Scale (Cao Ying) | 129 | 64 | 62 | 3 |
| Tian-yang Chen | Questionnaire investigation | Not reported | China | Pressure source gauge (self-design) | 90 | 23 | 45 | 22 |
| Ping Lin | Questionnaire investigation | The 20th week of clinical practice | China | Pressure source gauge (self-design) | 86 | 9 | 58 | 19 |
| Li-rong Yu | Questionnaire investigation | July 2004 to May 2005 | China | Student Study Pressure Survey (self-designed) | 111 | 43 | 63 | 2 |
| Di Zhang | Questionnaire investigation | Not reported | China | China Health Care Pressure Source Scale (Cao Ying) | 189 | 135 | 52 | 2 |
| Jing Huang | Questionnaire investigation | The first is from mid July to early August, and the second is from late October to mid November | China | Scale of trainee student stress source (Zhang Guixiang) | 334 | 66 | 267 | 1 |
| Fang Huang | Questionnaire investigation | Not reported | China | China Health Care PressureSource Scale (Cao Ying) | 120 | 77 | 42 | 1 |
| Shuang Fu | Questionnaire investigation | May 2009 to March 2010 | China | The Psychological Stressor Scale | 310 | 76 | ||
| Qu Guo | Questionnaire investigation | October 2012 to October 2014 | China | Survey scale of male Stress source in TCM colleges (designed by itself) | 76 | 24 | ||
Bias risk assessment results of included studies.
| ① | ② | ③ | ④ | ⑤ | ⑥ | ⑦ | ⑧ | ⑨ | ⑩ | ⑪ | Score | grade | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Marcela Corrêa Barboza1 (2012) | Y | Y | Y | N | N | Y | Y | UN | Y | Y | N | 7 | Medium |
| Ewa Kupcewicz (2020) | Y | Y | Y | Y | N | N | Y | Y | Y | Y | UN | 8 | High |
| Leticia Oliveira Bosso (2017) | Y | Y | Y | Y | N | N | Y | N | Y | Y | N | 7 | Medium |
| Rafati (2020) | Y | Y | Y | Y | N | Y | N | UN | N | Y | UN | 6 | Medium |
| Lahcen Bandadi (2020) | Y | Y | Y | Y | N | N | Y | UN | Y | Y | N | 7 | Medium |
| Maya Sahu (2019) | Y | Y | Y | N | N | N | N | Y | Y | Y | UN | 6 | Medium |
| AMostafa Amr (2011) | Y | Y | Y | Y | N | Y | N | N | N | Y | N | 6 | Medium |
| Kleiveland (2015) | Y | Y | Y | Y | N | N | N | UN | UN | Y | UN | 5 | Medium |
| Rezaei (2020) | Y | Y | Y | N | N | Y | Y | UN | UN | Y | UN | 6 | Medium |
| Karin Blomberg (2014) | Y | Y | Y | Y | N | N | N | Y | Y | N | N | 6 | Medium |
| Iwona Bodys-Cupak (2016) | Y | Y | Y | Y | N | N | N | N | N | Y | UN | 5 | Medium |
| Yi Luo(2018) | Y | Y | Y | Y | UN | N | N | N | N | Y | N | 5 | medium |
| Emad A. Shdaifat, PhD (2020) | Y | Y | Y | Y | UN | UN | N | N | N | Y | N | 5 | Medium |
| Xue-qinSun (2008) | Y | N | Y | Y | N | N | N | N | N | Y | N | 4 | Medium |
| Mei Chen (2012) | Y | N | Y | Y | N | N | N | N | Y | Y | UN | 5 | Medium |
| Lu-ping Ding (2016) | Y | N | Y | Y | UN | N | N | Y | N | Y | N | 5 | Medium |
| Li-hong Li (2013) | Y | N | Y | Y | N | N | N | N | Y | Y | UN | 5 | Medium |
| Jing Wang (2007) | Y | N | Y | Y | N | Y | N | N | N | N | N | 4 | Medium |
| Ni-na Li (2019) | Y | N | Y | Y | N | N | N | N | N | Y | N | 4 | Medium |
| Tian-yang Chen (2019) | Y | Y | Y | Y | N | N | N | N | N | N | N | 4 | Medium |
| Ping Lin (2007) | Y | N | Y | Y | N | N | N | N | N | Y | N | 4 | Medium |
| Li-rong Yu (2005) | Y | N | Y | Y | N | N | N | N | Y | Y | N | 5 | Medium |
| DiZhang (2012) | Y | Y | Y | Y | N | N | N | N | Y | Y | UN | 6 | Medium |
| Jing Huang(2019) | Y | Y | Y | Y | N | Y | N | Y | N | Y | N | 7 | Medium |
| FangHuang (2016) | Y | Y | Y | Y | N | N | N | N | N | Y | UN | 5 | Medium |
| ShuangFu (2012) | Y | N | Y | Y | N | N | N | N | Y | Y | UN | 5 | Medium |
| QuGuo (2017) | Y | N | Y | Y | N | N | N | N | Y | Y | N | 5 | Medium |
Figure 3.A meta-analysis of low-level stress rates.
Figure 5.A Meta-analysis of high-level stress rates.
Subgrop analysis.
| Project | Number of studies included | Incidence rate (95%CI) | I2 value | Effect model | |||
|---|---|---|---|---|---|---|---|
| Gender | Male | Low level | 11[ | 0.14[0.14,0.14] | 100% | <0.00001 | Random |
| Medium level | 8[ | 0.44 [0.44, 0.44] | 100% | <0.00001 | Random | ||
| High level | 8[ | 0.16 [0.16, 0.16] | 100% | <0.00001 | Random | ||
| Female | Low level | 11[ | 0.14[0.14,0.14] | 100% | <0.00001 | Random | |
| Medium level | 8[ | 0.44 [0.44, 0.44] | 100% | <0.00001 | Random | ||
| High level | 8[ | 0.16 [0.16, 0.16] | 100% | <0.00001 | Random | ||
| Diagnostic criteria | PSS-10 | Low level | 6[ | 0.15 [0.15, 0.15] | 100% | <0.00001 | Random |
| Medium level | 6[ | 0.37 [0.37, 0.37] | 100% | <0.00001 | Random | ||
| High level | 6[ | 0.36 [0.36, 0.36] | 100% | <0.00001 | Random | ||
| China Health Care Pressure Source Scale (Cao Ying) | Low level | 4[ | 0.66 [0.66, 0.66] | 100% | <0.00001 | Random | |
| Medium level | 4[ | 0.32 [0.32, 0.33] | 100% | <0.00001 | Random | ||
| High level | 3[ | 0.06 [0.06, 0.06] | 100% | <0.00001 | Random | ||
| Survey time | Before 2010 | Low level | 3[ | 0.22 [0.22, 0.22] | 100% | <0.00001 | Random |
| Medium level | 4[ | 0.42 [0.42, 0.42] | 100% | <0.00001 | Random | ||
| High level | 3[3,35,37]3] | 0.02 [0.02, 0.02] | 100% | <0.00001 | Random | ||
| After 2010 | Low level | 17[ | 0.25 [0.25, 0.25] | 100% | <0.00001 | Random | |
| Medium level | 16[ | 0.35 [0.35, 0.35] | 100% | <0.00001 | Random | ||
| High level | 17[ | 0.15 [0.15, 0.15] | 100% | <0.00001 | Random | ||
| area | Europe | Low level | 4[ | 0.14 [0.14, 0.14] | 100% | <0.00001 | Random |
| Medium level | 2[ | 0.28 [0.28, 0.28] | 100% | <0.00001 | Random | ||
| High level | 5[ | 0.37 [0.37, 0.37] | 100% | <0.00001 | Random | ||
| Asia | Low level | 15[ | 0.29 [0.29, 0.29] | 100% | <0.00001 | Random | |
| Medium level | 15[ | 0.35 [0.35, 0.35] | 100% | <0.00001 | Random | ||
| High level | 12[ | 0.05 [0.05, 0.05] | 100% | <0.00001 | Random |