ORIGINAL RESEARCH article

Front. Public Health, 08 March 2023

Sec. Public Mental Health

Volume 11 - 2023 | https://doi.org/10.3389/fpubh.2023.1081360

Factors affecting psychological health and career choice among medical students in eastern and western region of China after COVID-19 pandemic

  • 1. School of Clinical and Basic Medical Sciences, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China

  • 2. Department of Statistics, Institute of Shandong Evidence-Based Medicine, Jinan, China

  • 3. Queen Mary School, Nanchang University, Nanchang, China

  • 4. Medical Science and Technology Innovation Center, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China

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Abstract

Introduction:

To unearth superior countermeasures that improve psychological health and upgrade the quality of employment for medical students in China in post-epidemic era, this study was designed to determine the possible factors affecting psychological status and future career choice of this population.

Methods:

A cross-sectional observational study was carried out. Depression Anxiety Stress Scale-21 (DASS-21) and Insomnia Severity Index (ISI) were applied to measure psychological state. Chi-square and logistic regression analyses were adopted to filtrate related factors for psychological health and employment intention.

Results:

A total of 936 medical students, including 522 from eastern universities and 414 from western universities, were enrolled in the study. Anxiety among students in China's western universities was higher than that in China's eastern universities (30.4% vs. 22.0%), but no differences in the occurrences of stress (11.4% vs. 13.4%), depression (28.7% vs. 24.5%) and insomnia (30.7% vs. 25.7%). Grades, academic ranking, household income, attitudes about COVID-19 were associated with the occurrence of psychological problems. In addition, major, education level, academic ranking, family income, and clinical experience may affect the choice of future employment location and employment income. Notably, household income affected by COVID-19 and the perception of epidemic prevention and control resulted in changes in future employment region and income. COVID-19 can lead medical students with psychological problems to have a negative attitude toward future employment. Encouragingly, multiple activities, namely, proactive consideration of employment, taking part in career planning training lectures and timely adjustment of career planning, were beneficial to the professional identity of medical students.

Conclusion:

This study suggests that medical student psychology is influenced by COVID-19 and academic and financial pressures; actively coping with COVID-19 and making career planning in advance will contribute to optimizing future employment. Our findings provide a potent guideline for relevant departments to accurately adjust job deployment and for medical students to actively choose a career in the future.

Introduction

Faced with the sudden coronavirus disease (COVID-19) epidemic in 2019, medical students who have been already burdened with strong employment pressure are now facing more severe challenges and have greater psychological problems (1). Since June 2020, the COVID-19 epidemic in China has been effectively controlled and has entered the post-epidemic era (2). Although the normal order of social life and production is gradually being restored, there are still many uncertainties about future employment prospects, and the prevention and control of psychological health problems or challenges are new.

Multiple studies have shown that medical students' psychological health and occupational planning have been affected to varying degrees by the pandemic (35). According to a cross-sectional study of medical students during the early outbreak in February 2020, male students and students focusing less on COVID-19 have a high risk of depressive symptoms, while students in fifth grade and students with high concerns about the negative impact of COVID-19 on their education or employment are prone to have poor sleep quality (6). Another survey has demonstrated that more than one-third of medical students suffer from depression during this outbreak (7). Medical and health care students are ascertained to affected by the pandemic in their choices of majors, workplaces and employment duration (8). Additionally, in accordance with the survey results of Wang et al., approximately a quarter of medical students have suffered some degree of anxiety and 13% experienced some degree of depression during the severe respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, and approximately 4% wanted to give up engaging in primary medical care (5). Since the outbreak of the epidemic, doctors and nurses have been the front-line of epidemic prevention and control. As the future successors of the country's medical and health reserve undertake the fight against the epidemic, medical students' psychological problems, career choices, and professional identity are particularly important for societal development in the post-epidemic era. Therefore, it is necessary to further identify related factors that may affect psychological disorders and career planning of medical students as soon as possible. At present, there is still a lack of investigations into the comprehensive factors affecting the psychological health and career planning of medical students under the background of the post-epidemic era. For this purpose, a cross-sectional survey was conducted among medical students in China's eastern and western regions in this study. The findings can provide relatively comprehensive guidance for the employment of medical students, and can be helpful for colleges and related departments in adjusting their work deployment conditions.

Materials and methods

Participants, questionnaire formation and data collection

A cross-sectional study was performed using an online survey, Questionnaire Star (https://www.wjx.cn), running from June 19 to July 2, 2022 and our data source was published by this platform. The questionnaire consisted of five parts: general information, including location of universities, gender, major, grade, score ranking, degree of education, marital status, home place, average monthly household income, whether participant had an organic disease; attitudes toward COVID-19; psychological indicators; internship training experience; and career planning mentality for this epidemic. The inclusion criteria were used: medical students who fully understood the purpose and significance of the study and were able to cooperate with the researchers in conducting research activities. The exclusion criteria were used: students who already had a psychiatric disorder prior to COVID-19 outbreak or were under observation due to suspected or confirmed COVID-19 were excluded from this study. This study was approved by the Ethic Committee of Shandong First Medical University. All respondents were informed in advance that participation was anonymous and voluntary. Consent was denoted if the participants began to answer the questionnaire.

Psychological indicators

The Depression Anxiety and Stress Scale-21 (DASS-21) (9) and Insomnia Severity Index (ISI) (10) were used to evaluate outcomes of depressive/anxious/stressful symptoms and insomnia symptoms by discrimination of 21 items and 7 items, respectively. The grading standards are listed in Tables 1, 2 according to the subscale scores.

Table 1

Degree levelDepressionAnxietyStress
Normal0–90–70–14
Mild10–138–915–18
Moderate14–2010–1419–25
Severe21–2715–1926–33
Extreme≥28≥20≥34

DASS-21 subscale classification criteria.

Table 2

Degree levelTotal points (range 0–28)
No clinically significant insomnia0–7
Subthreshold insomnia8–14
Clinical insomnia (moderate to severe)15–21
Clinical insomnia (severe)22–28

Insomnia severity index scale.

Statistical analysis

SPSS version 22.0 was used to analyze all data. Chi-square with Fisher's exact test was applied to compare differences in categorical variables between groups. Binary or multiple logistic regression analysis was adopted to distinguish the risk and protective factors for psychological health and employment intention. A p value < 0.05 was considered statistically significant.

Results

The general profile of medical students

In this study, 1,099 questionnaires were received from students in several comprehensive or medical universities in eastern and western China, among which 1,004 were from medical and closely related majors. After excluding unqualified questionnaires according to the exclusion criteria, a total of 936 questionnaires were valid. General characteristics of these 936 medical students were shown in Table 3. 522 (55.8%) were from China's eastern universities. Majority were female (69.4%), and most majors were nursing (39.6%) or clinical medicine (36.9%). Freshmen (50.2%), sophomores (34.5%) and juniors (10.4%) make up the majority of grades. Students were categorized by academic rankings: top 25% (26.0), 25%−50% (37.3%), 50%−75% (26.9%), and below 75% (9.8%). Participants' education level varied from junior college (15.7%) and undergraduate degrees (76.7%) to graduate degrees (7.6%). The vast majority were unmarried (99.7%) and no organic disease (98.5%). They were born in metropolises (9%), small-medium cities (49.4%) and countryside (41.7%). Most participants had an average monthly household income < 10,000 yuan (83.4%).

Table 3

Item categoryClassificationPopulation (n/%)Item categoryClassificationPopulation (n/%)
Location of universitiesEastern522 (55.8)Degree of educationJunior college147 (15.7)
Western414 (44.2)Undergraduate718 (76.7)
GenderMale286 (30.6)Graduate71 (7.6)
Female650 (69.4)Marital statusMarried3 (0.3)
MajorNursing371 (39.6)Unmarried933 (99.7)
Clinical medicine345 (36.9)Home placeMetropolis84 (9.0)
Others220 (23.5)Small-medium cities462 (49.4)
GradeFreshman470 (50.2)Countryside390 (41.7)
Sophomore323 (34.5)Average monthly household income< 5,000403 (43.1)
Junior97 (10.4)5,000–10,000378 (40.4)
Senior and intern37 (4.0)>10,000155 (16.6)
Master/PhD graduate student9 (1.0)Whether have organic diseaseYes14 (1.5)
Score rankingThe top 25%243 (26.0)No922 (98.5)
25%−50%349 (37.3)
50%−75%252 (26.9)
Below 75%92 (9.8)

Distribution of descriptive characteristics of respondents.

Attitudes about COVID-19 and their association with psychological indicators

In terms of attitudes toward outbreak, Table 4 exhibits that participants were very concerned (27.5%), moderately concerned (39%), somewhat (27.7%), slightly concerned (4.9%) and unconcerned (1%). Most household incomes were affected by the pandemic (67.2%). Half of them participated in epidemic prevention and control work (51.4%). Most participants had no friends or relatives infected (98.1%) and did not mind others infected with COVID-19 (90.5%).

Table 4

ItemStatistical indexPopulation (n/%)
Are you still following the news of the pandemic?Very concerned, willing to actively search the recent situation257 (27.5)
More concerned, will search for interested topics365 (39.0)
Medium, read about it, but don't actively search for it259 (27.7)
Don't pay much attention, understand the general situation, but don't care about the specific data46 (4.9)
Unconcerned and uninterested in news of the epidemic9 (1.0)
Have household incomes been affected by the pandemic?Yes629 (67.2)
No307 (32.8)
Have you participated in pandemic prevention and control work?Yes481 (51.4)
No455 (48.6)
Have any friends or relatives been infected with COVID-19?Yes18 (1.9)
No918 (98.1)
Do you mind students who have been infected with COVID-19?Yes89 (9.5)
No847 (90.5)

Cognition and behavior of medical students on the pandemic.

Figures 1, 2 showed that most students' mental health was normal, but they still had psychological symptoms, instantiating stress (12.5%), anxiety (25.7%), depression (26.4%), and insomnia (27.9%). As shown in Table 5, medical students in China's western universities were more likely to report anxiety than those in China's eastern universities (p = 0.003), but not stress, depression and insomnia (All p > 0.05). There were differences in occurrences of stress, anxiety and insomnia among medical students with different majors (p < 0.001, p = 0.002 and p = 0.001, respectively). Grade level affected anxiety (p = 0.001), and score rankings affected depressive symptoms (p = 0.006): the lower the academic ranking was, the more likely depression symptoms were to appear. Household income related with anxiety (p = 0.008), and students from middle-income families were less likely to suffer from psychological problems. Moreover, attitudes toward COVID-19 have been suggested to be related to their psychological conditions. For instance, having not worked in COVID-19 prevention and control (p = 0.008) and their close friends or family members infected with COVID-19 increased the possibilities of experiencing anxiety and depression (p = 0.027, p = 0.011, respectively). Students who cared that others had been infected were at increased risk of stress and insomnia (p = 0.001, p = 0.042, respectively).

Figure 1

Figure 1

Overall distribution of DASS-21 and insomnia severity index.

Figure 2

Figure 2

Overall distribution of insomnia severity index scale.

Table 5

CategoryVariableClassificationTotal numberStressAnxietyDepressionInsomnia
Normal population (%)Symptomatic population (%)p valueNormal population (%)Symptomatic population (%)p valueNormal population (%)Symptomatic population (%)p valueNormal population (%)Symptomatic population (%)p value
General informationLocation of universityEastern522452 (86.6)70 (13.4)0.345407 (78.0)115 (22.0)0.003394 (75.5)128 (24.5)0.145388 (74.3)134 (25.7)0.090
Western414367 (88.6)47 (11.4)288 (69.6)126 (30.4)295 (71.3)119 (28.7)287 (69.3)127 (30.7)
GenderMale286244 (85.3)42 (14.7)0.180211 (73.8)75 (26.2)0.825197 (68.9)89 (31.1)0.029201 (70.3)85 (29.7)0.406
Female650575 (88.5)75 (11.5)484 (74.5)166 (25.5)492 (75.7)158 (24.3)474 (72.9)176 (27.1)
MajorNursing371326 (87.9)45 (12.1)0.000259 (69.8)112 (30.2)0.002267 (72.0)104 (28.0)0.108255 (68.7)116 (31.3)0.001
Clinical medicine345284 (82.3)61 (17.7)254 (73.6)91 (26.4)248 (71.9)97 (28.1)240 (69.6)105 (30.4)
Others220209 (95.0)11 (5.0)182 (82.7)38 (17.3)174 (79.1)46 (20.9)180 (81.8)40 (18.2)
Degree of educationJunior college147134 (91.2)13 (8.8)0.210100 (68.0)47 (32.0)0.169109 (74.1)38 (25.9)0.721105 (71.4)42 (28.6)0.577
Undergraduate718626 (87.2)92 (12.8)541 (75.3)177 (24.7)525 (73.1)193 (26.9)515 (71.7)203 (28.3)
Graduate7159 (83.1)12 (16.9)54 (76.1)17 (23.9)55 (77.5)16 (22.5)55 (77.5)16 (22.5)
GradeFreshman470416 (88.5)54 (11.5)0.293366 (77.9)104 (22.1)0.001361 (76.8)109 (23.2)0.057353 (75.1)117 (24.9)0.176
Sophomore323281 (87.0)42 (13.0)220 (68.1)103 (31.9)224 (69.3)99 (30.7)220 (68.1)103 (31.9)
Junior9779 (81.4)18 (18.6)67 (69.1)30 (30.9)66 (68.0)31 (32.0)66 (68.0)31 (32.0)
Senior and intern3734 (91.9)3 (8.1)34 (91.9)3 (8.1)30 (81.1)7 (18.9)29 (78.4)8 (21.6)
Master/PhD graduate student99 (100.0)0 (0.0)8 (88.9)1 (11.1)8 (88.9)1 (11.1)7 (77.8)2 (22.2)
Score rankingTop 25%243215 (88.5)28 (11.5)0.680192 (79.0)51 (21.0)0.213198 (81.5)45 (18.5)0.006188 (77.4)55 (22.6)0.067
25%−50%349307 (88.0)42 (12.0)251 (71.9)98 (28.1)253 (72.5)96 (27.5)253 (72.5)96 (27.5)
50%−75%252220 (87.3)32 (12.7)187 (74.2)65 (25.8)178 (70.6)74 (29.4)175 (69.4)77 (30.6)
Below 75%9277 (83.7)15 (16.3)65 (70.7)27 (29.3)60 (65.2)32 (34.8)59 (64.1)33 (35.9)
Marital statusMarried33 (100.0)0 (0.0)1.0003 (100.0)0 (0.0)0.5733 (100.0)0 (0.0)0.5702 (66.7)1 (33.3)1.000
Unmarried933816 (87.5)117 (12.5)692 (74.2)241 (25.8)686 (73.5)247 (26.5)673 (72.1)260 (27.9)
Home placeMetropolis8471 (84.5)13 (15.5)0.53661 (72.6)23 (27.4)0.40765 (77.4)19 (22.6)0.13761 (72.6)23 (27.4)0.134
Small-medium cities462409 (88.5)53 (11.5)352 (76.2)110 (23.8)350 (75.8)112 (24.2)346 (74.9)116 (25.1)
Countryside390339 (86.9)51 (13.1)282 (72.3)108 (27.7)274 (70.3)116 (29.7)268 (68.7)122 (31.3)
Average monthly household income< 5,000403353 (87.6)50 (12.4)0.986284 (70.5)119 (29.5)0.008287 (71.2)116 (28.8)0.323285 (70.7)118 (29.3)0.622
5,000–10,000378331 (87.6)47 (12.4)301 (79.6)77 (20.4)287 (75.9)91 (24.1)279 (73.8)99 (26.2)
>10,000155135 (87.1)20 (12.9)110 (71.0)45 (29.0)115 (74.2)40 (25.8)111 (71.6)44 (28.4)
Whether have organic diseasesYes1412 (85.7)2 (14.3)0.69111 (78.6)3 (21.4)1.00011 (78.6)3 (21.4)1.00010 (71.4)4 (28.6)1.000
No922807 (87.5)115 (12.5)684 (74.2)238 (25.8)678 (73.5)244 (26.5)665 (72.1)257 (27.9)
Knowledge about the pandemicHave household incomes been affected by the pandemic?Yes629552 (87.8)77 (12.2)0.732459 (73.0)170 (27.0)0.200451 (71.7)178 (28.3)0.058444 (70.6)185 (29.4)0.136
No307267 (87.0)40 (13.0)236 (76.9)71 (23.1)238 (77.5)69 (22.5)231 (75.2)76 (24.8)
Have you participated in epidemic prevention and control work?Yes481429 (89.2)52 (10.8)0.108375 (78.0)106 (22.0)0.008373 (77.5)108 (22.5)0.005354 (73.6)127 (26.4)0.299
No455390 (85.7)65 (14.3)320 (70.3)135 (29.7)316 (69.5)139 (30.5)321 (70.5)134 (29.5)
Have any friends or relatives been infected with COVID-19?Yes1814 (77.8)4 (22.2)0.2669 (50.0)9 (50.0)0.0278 (44.4)10 (55.6)0.01111 (61.1)7 (38.9)0.293
No918805 (87.7)113 (12.3)689 (74.7)232 (25.3)681 (74.2)237 (25.8)664 (72.3)254 (27.7)
Do you mind students who have been infected with COVID-19?Yes8968 (76.4)21 (23.6)0.00162 (69.7)27 (30.3)0.29861 (68.5)28 (31.5)0.25456 (62.9)33 (37.1)0.042
No847751 (88.7)96 (11.3)633 (74.7)214 (25.3)628 (74.1)219 (25.9)619 (73.1)228 (26.9)

Analysis of the factors affecting psychological health of the participants.

Discerning relevant factors influencing the choice of future employment region and monthly income in the post-pandemic era

Multiple logistic regression analyses (Table 6) showed that nursing students (p = 0.011) and freshmen (p = 0.002) tended to choose first-tier cities for employment. Medical students whose family monthly income was < 5,000 yuan tended to choose places near hometowns or places of study (p = 0.036). Moreover, medical students whose family incomes were affected by the pandemic were not inclined to choose first-tier cities (p = 0.042).

Table 6

CategoryVariableClassificationPlaces near their hometown or their place of study vs. first-tier citiesOther cities vs. first-tier cities
p-valueOR95%CIp-valueOR95%CI
General informationLocation of universitiesEastern0.4810.7730.377–1.5840.6621.3360.364–4.905
WesternReferentReferent
GenderMale0.6691.0770.767–1.5130.9831.0070.559–1.812
FemaleReferentReferent
MajorNursing0.0110.4010.199–0.8080.8060.8510.236–3.077
Clinical medicine0.0680.6650.429–1.0310.9851.0080.456–2.225
OthersReferentReferent
Degree of educationJunior college0.8381.0820.507–2.3080.0564.0700.966–17.152
Undergraduate0.6121.1550.662–2.0140.1912.1720.679–6.951
GraduateReferentReferent
GradeFreshman0.0020.4780.301–0.7590.2610.6300.281–1.412
sophomore0.4080.8110.494–1.3320.9311.0380.446–2.417
Junior and aboveReferentReferent
Score rankingTop 25%0.7160.9040.523–1.5610.3690.6540.259–1.653
25%−50%0.5031.1940.710–2.0090.9751.0140.432–2.376
50%−75%0.2851.3390.784–2.2870.4161.4270.606–3.362
Below 75%ReferentReferent
Home placeMetropolis0.0860.6110.348–1.0710.1670.4340.133–1.417
Small-medium cities0.4951.1220.806–1.5630.5111.2040.692–2.094
CountrysideReferentReferent
Average monthly household income< 5,0000.0361.6931.036–2.7670.3351.5130.652–3.515
5,000–10,0000.3751.2220.785–1.9010.9721.0140.463–2.224
>10,000ReferentReferent
Whether have organic diseaseYes0.9580.9660.269–3.4690.3032.2830.475–10.960
NoReferentReferent
Psychological factorsStressYes0.2201.3970.818–2.3860.5120.7510.320–1.766
NoReferentReferent
AnxietyYes0.9720.9920.615–1.5990.6521.2090.530–2.758
NoReferentReferent
DepressionYes0.5760.8720.540–1.4090.5670.7910.355–1.764
NoReferentReferent
InsomniaYes0.6031.1020.764–1.5920.4891.2430.671–2.301
NoReferentReferent
Internship training experienceHave you thought about what you will do after graduation?Yes0.3471.2250.802–1.8710.4600.7890.420–1.481
NoReferentReferent
Have attended any training or lecture related to career orientationYes0.5740.9150.670–1.2480.7660.9210.537–1.580
NoReferentReferent
Clinical practice experienceYes0.7720.9430.633–1.4050.0550.4570.206–1.016
NoReferentReferent
Knowledge about the pandemicAre you still following the news of the epidemic?Very concerned0.5261.7610.306–10.1260.0560.1520.022–1.051
More concerned0.3672.2230.391–12.6330.1710.2680.041–1.763
Medium0.3872.1510.379–12.2160.3080.3790.059–2.446
Don't pay much attention0.3142.5680.409–16.1410.7190.6920.093–5.165
UnconcernedReferentReferent
Have household incomes been affected by the pandemic?Yes0.1301.2890.928–1.7910.0421.8761.024–3.437
NoReferentReferent
Have you participated in epidemic prevention and control work?Yes0.3610.8700.645–1.1730.5691.1630.692–1.954
NoReferentReferent
Have any friends or relatives been infected with COVID-19?Yes0.4661.4940.508–4.3970.6990.6450.070–5.974
NoReferentReferent
Do you mind students who have been infected with COVID-19?Yes0.1120.6700.409–1.0980.7401.1320.545–2.349
NoReferentReferent

Analysis of the factors affecting the preferred employment region.

As shown in Table 7, nursing (p = 0.027), clinical medicine (p = 0.026) students and postgraduate students (all p < 0.05) were more likely to obtain monthly salaries >8,000 yuan. Students with academic scores in the bottom 50% and from families with an average monthly income < 10,000 yuan may expect their future monthly salaries to be < 8,000 yuan (p < 0.05). Students who had clinical internship experience (p = 0.003), participated in epidemic prevention work (both p < 0.05) and cared that people around them had been infected with COVID-19 (p = 0.017) were more likely to obtain their future monthly incomes >15,000 yuan.

Table 7

CategoryVariableClassification8,000–15,000 yuan vs. 3,000–8,000 yuanAbove 15,000 yuan vs. 3,000–8,000 yuan
p-valueOR95%CIp-valueOR95%CI
General informationLocation of universitiesEastern0.0771.9920.929–4.2740.3891.5920.553–4.588
WesternReferentReferent
GenderMale0.5331.1280.773–1.6450.2691.2950.819–2.048
FemaleReferentReferent
MajorNursing0.0272.3301.101–1.9310.3521.6270.583–4.537
Clinical medicine0.0261.6991.066–2.7060.0271.9821.083–3.630
OthersReferentReferent
Degree of educationJunior college0.0020.2440.098–0.6070.0010.1370.044–0.428
Undergraduate0.0260.4390.213–0.9060.0400.4270.190–0.961
GraduateReferentReferent
GradeFreshman0.1001.5190.923–2.5000.1991.5080.806–2.820
Sophomore0.7701.0840.632–1.8600.1111.7140.883–3.327
Junior and aboveReferentReferent
Score rankingTop 25%0.0631.8080.968–3.3790.8810.9470.467–1.920
25%−50%0.4551.2530.693–2.2670.3880.7470.385–1.449
50%−75%0.6451.1520.631–2.1020.0180.4280.211–0.865
Below 75%ReferentReferent
Home placeMetropolis0.6821.1490.592–2.2290.4111.3810.639–2.986
Small-medium cities0.4620.8760.616–1.2460.2530.7570.469–1.221
CountrysideReferentReferent
Average monthly household income< 5,0000.0000.3020.167–0.5460.0000.1420.073–0.278
5,000–10,0000.0130.4950.285–0.8620.0000.2110.115–0.388
>10,000ReferentReferent
Whether have organic diseaseYes0.8021.1820.321–4.3550.7441.3070.262–6.514
NoReferentReferent
Psychological factorsStressYes0.3040.7270.396–1.3350.1520.6020.301–1.205
NoReferentReferent
AnxietyYes0.6940.8980.527–1.5310.0970.5760.301–1.104
NoReferentReferent
DepressionYes0.9720.9910.589–1.6660.7400.8950.467–1.718
NoReferentReferent
InsomniaYes0.5540.8860.594–1.3220.9050.9690.582–1.615
NoReferentReferent
Internship training experienceHave you thought about what you will do after graduation?Yes0.3350.8000.508–1.2600.7270.9020.507–1.607
NoReferentReferent
Have attended any training or lecture related to career orientationYes0.6331.0850.776–1.5190.0890.6790.434–1.060
NoReferentReferent
Clinical practice experienceYes0.1671.3710.877–2.1430.0032.2881.319–3.969
NoReferentReferent
Knowledge about the pandemicAre you still following the news of the epidemic?Very concerned0.8881.1670.135–10.0170.7250.6920.089–5.387
More concerned0.7101.5020.175–12.8780.6680.6400.084–4.909
Medium0.6841.5630.182–13.3990.6090.5880.077–4.499
Don't pay much attention0.9790.9700.102–9.1870.5580.5250.061–4.536
UnconcernedReferentReferent
Have household incomes been affected by the pandemic?Yes0.6641.0840.754–1.5570.9360.9810.618–1.558
NoReferentReferent
Have you participated in epidemic prevention and control work?Yes0.0311.4281.033–1.9740.0371.5601.028–2.367
NoReferentReferent
Have any friends or relatives been infected with COVID-19?Yes0.5760.6680.163–2.7400.2292.2090.608–8.031
NoReferentReferent
Do you mind students who have been infected with COVID-19?Yes0.9720.9900.560–1.7480.0172.1391.144–4.000
NoReferentReferent

Analysis of the factors affecting expected employment monthly income.

Changes in professional satisfaction and career planning before and after the pandemic

From Table 8 displaying the distribution of changes in their career plans before/after this pandemic, half of the students expressed the opinion that the job situation was worse now than before the pandemic. More than half of the students thought their satisfactions with their majors and future career plans had not changed significantly than before the pandemic. Above half of the students felt great job pressure and were ready to actively deal with the pressure in the context of the normalization of pandemic. Half of the students would not actively advise others to study medical-related majors.

Table 8

ItemsStatistical indicatorsPopulation (n/%)
What do you think of the current employment situation after this pandemic?It's worse than before.482 (51.5)
It's about the same as before.201 (21.5)
More opportunities than before253 (27.0)
Are you more satisfied with your major now than before?More satisfactory300 (32.1)
There is not much difference588 (62.8)
Unsatisfactory48 (5.1)
Has your career plan changed during this pandemic?Yes194 (20.7)
No742 (79.3)
Do you feel the pressure of employment in the context of the ongoing pandemic?Great287 (30.7)
Much360 (38.5)
General246 (26.3)
Little28 (3.0)
Stress-free15 (1.6)
How are you going to handle this pressure?Active preparation547 (58.4)
Continue education282 (30.1)
Lowering employment standards33 (3.5)
Negative waiting for19 (2.0)
Other55 (5.9)
Will you continue to advise your students or children to study medicine?Will take the initiative to suggest that teachers, younger siblings or children study medicine187 (20.0)
Will not take the initiative to suggest, and if there are teachers and younger sisters to consult, I will objectively explain the advantages and disadvantages of studying medicine504 (53.8)
Not recommended students to study medical related majors91 (9.7)
It is the best choice for students to choose their own major112 (12.0)
Other42 (4.5)

Analysis of employment and career planning situation after the pandemic.

Table 9 presented variables associated with changes in the employment situation before/after the pandemic, including major (p < 0.001), grade (p = 0.001), anxiety (p = 0.002), depression (p = 0.030), having considered career development after graduation (p = 0.039), and having clinical practice experience (p = 0.026). As seen from Table 10, level of education (p = 0.027), academic ranking (p < 0.001), stress (p = 0.007), anxiety (p < 0.001), depression (p < 0.001), insomnia (p < 0.001), having considered career development after graduation (p < 0.001), having attended any training or lectures about future career options (p < 0.001), employment region (p < 0.001), and expected employment income (p < 0.029) were linked with satisfaction with major before/after the pandemic. Medical students with junior college, ranking in the top 50% of students, without psychological health concerns, having considered career development after graduation, and having attended any training or lectures about their future career path were more satisfied with their majors than they were before the pandemic. Table 11 showed that medical students in China's western universities (p < 0.001), in nursing and other majors (p < 0.001), having attended junior college (p < 0.001), with average monthly household income < 5,000 yuan (p = 0.027), with depression (p = 0.048), having considered career development after graduation (p = 0.043), having attended any training or lectures about future career path (p < 0.001), and clinical practice experience were likely to change their career plans after going through this pandemic (p < 0.001). Additionally, medical students in China's western universities (p = 0.001), nursing students (p = 0.005), those with household incomes affected by the pandemic (p < 0.001), having considered career development after graduation (p = 0.031), having attended any training or lectures about their future career path (p = 0.018), having clinical practice experience (p = 0.015), and future employment regions in first-tier cities, hometowns or locations of their universities (p = 0.011) may create more pressure during employment after experiencing this outbreak (Table 12).

Table 9

General informationVariableClassificationWhat do you think of the current employment situation after the pandemic?p value
Worse than beforeAlmostMore opportunities than before
MajorNursing181 (37.6)201 (41.7)100 (20.7)0.000
Clinical medicine86 (42.8)75 (37.3)40 (19.9)
Others104 (41.1)69 (27.3)80 (31.6)
GradeFreshman220 (46.8)89 (18.9)161 (34.3)0.001
Sophomore177 (54.8)83 (25.7)63 (19.5)
Junior56 (57.7)19 (19.6)22 (22.7)
Senior and intern23 (62.2)8 (21.6)6 (16.2)
Master/PhD graduate student6 (66.7)2 (22.2)1 (11.1)
Psychological factorsAnxietyNormal364 (52.4)131 (18.8)200 (28.8)0.002
Symptom118 (49.0)70 (29.0)53 (22.0)
DepressionNormal352 (51.1)137 (19.9)200 (29.0)0.030
Symptom130 (52.6)64 (25.9)53 (21.5)
Employment intensionHave you thought about what you will do after graduation?Yes420 (52.4)161 (20.1)221 (27.6)0.039
No62 (46.3)40 (29.9)32 (23.9)
Do you have clinical practice experience?Yes97 (58.4)38 (22.9)31 (18.7)0.026
No385 (50.0)163 (21.2)222 (28.8)

Analysis of the factors affecting employment situation after the pandemic.

Table 10

VariableClassificationAre you more satisfied with your major after the pandemic?p value
More satisfactoryNot much differenceUnsatisfactory
General informationDegree of educationJunior college62 (42.2)77 (52.4)8 (5.4)0.027
Undergraduate220 (30.6)464 (64.6)34 (4.7)
Graduate18 (25.4)47 (66.1)6 (8.5)
Score rankingTop 25%93 (38.3)138 (56.8)12 (4.9)0.000
25%−50%122 (35.0)311 (60.5)16 (4.6)
50%−75%61 (24.2)185 (73.4)6 (2.4)
Below 75%24 (26.1)54 (58.7)14 (15.2)
Psychological factorsStressNormal266 (32.5)518 (63.2)35 (4.3)0.007
Symptom34 (29.1)70 (59.8)13 (11.1)
AnxietyNormal244 (35.1)426 (61.3)25 (3.6)0.000
Symptom56 (23.2)162 (67.2)23 (9.5)
DepressionNormal252 (36.6)411 (59.7)26 (3.8)0.000
Symptom48 (19.4)177 (71.7)22 (8.9)
InsomniaNormal248 (36.7)400 (59.3)27 (4.0)0.000
Symptom52 (19.9)188 (72.0)21 (8.0)
Employment intensionHave you thought about what you will do after graduation?Yes277 (34.5)489 (61.0)36 (4.5)0.000
No23 (17.2)99 (73.9)12 (9.0)
Have you attended any training or lectures related to your future career orientation?Yes147 (39.6)210 (56.6)14 (3.8)0.000
No153 (27.1)378 (66.9)34 (6.0)
Employment regionFirst-tier city150 (39.0)215 (55.8)20 (5.2)0.000
Where the student or school is located137 (29.5)305 (65.7)22 (4.7)
Other13 (14.9)68 (78.2)6 (6.9)
Expected employment income3,000–8,000 yuan138 (33.5)258 (62.6)16 (3.9)0.029
8,000–15,000 yuan109 (32.0)218 (63.9)14 (4.1)
>15,000 yuan53 (29.0)112 (61.2)18 (9.8)

Analysis of the factors affecting the professional satisfaction after the pandemic.

Table 11

VariableClassificationHas your career plan changed during this pandemic?p value
YesNo
General informationLocation of universitiesEastern86 (16.5)436 (83.5)0.000
Western108 (26.1)306 (73.9)
MajorNursing95 (25.6)276 (74.4)0.000
Clinical medicine41 (11.9)304 (88.1)
Others58 (26.4)162 (73.6)
Degree of educationJunior college49 (33.3)98 (66.7)0.000
Undergraduate139 (19.4)579 (80.6)
Graduate6 (8.5)65 (91.5)
Average monthly household income< 5,000100 (24.8)303 (75.2)0.027
5,000–10,00067 (17.7)311 (82.3)
>10,00027 (17.4)128 (82.6)
Psychological factorsDepressionNormal132 (19.2)557 (80.8)0.048
Symptom62 (25.1)185 (74.9)
Employment intensionHave you thought about what you will do after graduation?Yes175 (21.8)627 (78.2)0.043
No19 (14.2)115 (85.8)
Have you attended any training or lectures related to your future career orientation?Yes108 (29.1)263 (70.9)0.000
No86 (15.2)479 (84.8)
Do you have clinical practice experience?Yes55 (33.1)111 (66.9)0.000
No139 (18.1)631 (81.9)

Analysis of factors affecting career planning after the pandemic.

Table 12

VariableClassificationDo you feel the pressure of employment in the normalization context of the pandemic?p value
Great/ largerGeneralNot much/no pressure
General informationLocation of universitiesEastern334 (64.0)162 (31.0)26 (5.0)0.001
Western313 (75.6)84 (20.3)17 (4.1)
MajorNursing282 (76.0)74 (19.9)15 (4.0)0.005
Clinical medicine223 (64.6)103 (29.9)19 (5.5)
Others142 (64.5)69 (31.4)9 (4.1)
Knowledge about the pandemicHave household incomes been affected by the pandemic?Yes457 (72.7)153 (24.3)19 (3.0)0.000
No190 (61.9)93 (30.3)24 (7.8)
Employment intensionHave you thought about what you will do after graduation?Yes565 (70.4)205 (25.6)32 (4.0)0.031
No82 (61.2)41 (30.6)11 (8.2)
Have you attended any training or lectures related to your future career orientation?Yes270 (72.8)92 (24.8)9 (2.4)0.018
No377 (66.7)154 (27.3)34 (6.0)
Do you have clinical practice experience?Yes127 (76.5)29 (17.5)10 (6.0)0.015
No520 (67.5)217 (28.2)33 (4.3)
Employment regionFirst-tier city267 (69.4)102 (26.5)16 (4.2)0.011
Where the student or school is located330 (71.1)117 (25.2)17 (3.7)
Other50 (57.5)27 (31.0)10 (11.5)

Analysis of factors affecting employment pressure after the pandemic.

Relationship of variables with frontline work awareness against the COVID-19

Table 13 showed attitudes of medical students on the frontline work against the epidemic. After experiencing the epidemic, 60% of medical students thought that working in respiratory and infectious departments was more riskier, however, approximately 90% of medical students admired the work on the front lines against the pandemic and would like to be involved if they had the opportunity. Additionally, medical students in China's western universities (p < 0.001), female medical students (p < 0.001), those in nursing and other majors (p < 0.001), those with household incomes affected by the pandemic (p = 0.002), having clinical practice experience (p = 0.045), future employment in first-tier cities, hometowns or locations of the universities (p < 0.001) were inclined to think that risk of working in the respiratory and infectious disease departments was higher due to this outbreak (Table 14). Those with good psychological health (all p ≤ 0.001), no friends diagnosed with COVID-19 (p = 0.038), future employment in first-tier cities, hometowns or locations of the universities (p = 0.008) admired the work on the front lines against the pandemic and would have more liked to participate if they had the opportunity (Table 15).

Table 13

ItemStatistical indexPopulation (n/%)
After experiencing this epidemic, your understanding of the work risk of respiratory department and infectious departmentThe risk is higher in this department563 (60.1)
Perception not changed345 (36.9)
Risk of working this department is lower28 (3.0)
Opinion on working on the front lines of the pandemicAdmire and would like to join if having the opportunity831 (88.8)
A little hesitant and worried about self-security87 (9.3)
Unwilling to participate18 (1.9)

The awareness of frontline work against the COVID-19.

Table 14

VariableClassificationAfter experiencing this epidemic, your understanding of the work risk in respiratory department and infectious department?p value
Higher riskNot changedLower risk
General informationLocation of universitiesEastern305 (58.4)211 (40.4)6 (1.1)0.000
Western258 (62.3)134 (32.4)22 (5.3)
GenderMale134 (46.9)143 (50.0)9 (3.1)0.000
Female429 (66.0)202 (31.1)19 (2.9)
MajorNursing229 (61.7)121 (32.6)21 (5.7)0.000
Clinical medicine180 (52.2)163 (47.2)2 (0.6)
Others154 (70.0)61 (27.7)5 (2.3)
Degree of educationJunior college92 (62.6)45 (30.6)10 (6.8)0.026
Undergraduate430 (59.9)270 (37.6)18 (2.5)
Graduate41 (57.7)30 (42.3)0 (0.0)
Knowledge about the pandemicHave household incomes been affected by the pandemic?Yes402 (63.9)207 (32.9)20 (3.2)0.002
No161 (52.4)138 (45.0)8 (2.6)
Employment intensionDo you have clinical practice experience?Yes109 (65.7)49 (29.5)8 (4.8)0.045
No454 (59.0)296 (38.4)20 (2.6)
Employment regionFirst-tier city222 (57.7)150 (39.0)13 (3.4)0.000
Where the student or school is located300 (64.7)157 (33.8)7 (1.5)
Other41 (47.1)38 (43.7)8 (9.2)

Analysis of factors affecting risk cognition of working in respiratory department and infectious department.

Table 15

VariableClassificationAttitudes of frontline work against COVID-19p value
Admire and would like to join if having the opportunityA little hesitant and worried about self-securityUnwilling to participate
General informationGenderMale241 (84.3)38 (13.3)7 (2.4)0.014
Female590 (90.8)49 (7.5)11 (1.7)
Home placeMetropolis69 (82.1)13 (15.5)2 (2.4)0.042
Small-medium cities403 (87.2)50 (10.8)9 (1.9)
Countryside359 (92.1)24 (6.2)7 (1.8)
Psychological factorsStressNormal735 (89.7)72 (8.8)12 (1.5)0.008
Symptom96 (82.1)15 (12.8)6 (5.1)
AnxietyNormal637 (91.7)49 (7.1)9 (1.3)0.000
Symptom194 (80.5)38 (15.8)9 (3.7)
DepressionNormal628 (91.1)52 (7.5)9 (1.3)0.000
Symptom203 (82.2)35 (14.2)9 (3.6)
Knowledge about the pandemicHave you participated in epidemic prevention and control workYes439 (91.3)40 (8.3)2 (0.4)0.001
No392 (86.2)47 (10.3)16 (3.5)
Having family or friends infected with COVID-19 or not?Yes14 (77.8)2 (11.1)2 (11.1)0.038
No817 (89.0)85 (9.3)16 (1.7)
Employment IntensionHave you thought about what you will do after graduation?Yes721 (89.9)71 (8.9)10 (1.2)0.000
No110 (82.1)16 (11.9)8 (6.0)
Do you have clinical practice experience?Yes152 (91.6)8 (4.8)6 (3.6)0.023
No679 (88.2)79 (10.3)12 (1.6)
Employment regionFirst-tier city343 (89.1)36 (9.4)6 (1.6)0.008
Where the student or school is located420 (90.5)37 (8.0)7 (1.5)
Other68 (78.2)14 (16.1)5 (5.7)
Expected employment income3,000–8,000 yuan372 (90.3)32 (7.8)8 (1.9)0.003
8,000–15,000 yuan306 (89.7)34 (10.0)1 (0.3)
>15,000 yuan153 (83.6)21 (11.5)9 (4.9)

Analysis of factors affecting the attitudes of frontline work against COVID-19.

Discussion

Our study showed differences in psychological problems of medical students in China's eastern and western universities in the post-epidemic era. The sources of psychological problems resulted from family economic and academic pressure. Improving awareness of epidemic prevention and control was beneficial in reducing psychological stress. Moreover, major, education level, academic ranking, family income, and clinical experience may affect the option of employment location and employment income. Impact of COVID-19 on household income may also affect the choice of employment location. Perception of epidemic prevention and control may change future employment income. Medical students with psychological problems thought that their employment situations became more intense due to the COVID-19 and were reluctant to actively make changes. Significantly, some active measures, such as conscientious consideration of employment, participation in career planning training lectures and timely adjustment of career planning, were helpful for professional identity of medical students.

Based on the results of our survey, there were differences about medical students' anxiety, career plan change and work pressure in China's eastern and western university. A Saudi Arabia survey observed nearly 20% of respondents suffering from a moderate to severe level of anxiety relative to this pandemic; western, northern, and eastern regions were reported to be the most anxious, which may be due to western and eastern regions being the initial epicenters of COVID-19 within Saudi Arabia (11). These findings are similar to those in Wuhan, China, the epicenter of COVID-19, with medical professionals experiencing a higher level of anxiety (12). These data demonstrate that differences in geographical area result in diversity in the degree of anxiety of medical students; however, the specific reasons still need to be explored in detail.

This study investigated the factors related to psychological abnormalities in medical students in the post-epidemic era. In concert with results from Shpakou et al.'s survey that medical students are less satisfied with life and have a higher level of perceived stress than other majors (13), our study found that nursing and clinical students were more likely to suffer from psychological stress, anxiety and insomnia. Of note, senior and graduate medical students reported less anxiety than younger students, and no close family member or friend infected with COVID-19 reduced medical students' risk of anxiety and depression, which was consistent with published reports. For instance, from a US survey, stress in medical students during COVID-19 is higher than it in pre-pandemic (14). Stress and burnout in second-/third-year students are at the highest levels, and tight finances and having themselves or family members diagnosed with COVID-19 causes higher stress (14). Having moderate or higher household economic levels is documented to be a preventive factor for improving students' psychological health problems (15), which echoes with our data showing that family income level caused anxiety. Evidence from Russian university students has demonstrated that students with COVID-19 experience are more likely to suffer from psychological anxiety, stress and somatic burden than those without COVID-19 experience (16), which is in accordance with this study revealing that acquaintances diagnosed with COVID-19 can increase medical students' psychological stress and even lead to insomnia. Similarly, another survey from Nigeria Medical University illuminates that a family income < 100,000 naira and having a relative/acquaintance infected with COVID-19 are independently relevant to psychological distress (17). Cipta et al.'s survey in Indonesia has illustrated that 35.5% of medical students experience burnout during the COVID-19 pandemic (18). Our data, combined with published findings, underline the importance of determining the related factors affecting psychological health of medical students to improve their psychological health.

Due to the impact of the COVID-19 pandemic, limited geographical mobility and intensive quarantine work in large cities were likely to affect the employment choices of medical students in the post-pandemic era (8). According to this survey, major, grade, family monthly income and family income led to differences in employment location. Major, education level, academic ranking, family monthly income, clinical experience, participation in epidemic prevention and control work, and care about COVID-19 infection influenced the options to increase employment income. Liu et al.'s survey has discovered that married female PhD students who are from urban areas and have a high household income are inclined to choosing first-tier city as employment, and from their simulation results, increasing monthly income causes raise of the probability of choosing the job in the third-tier city (19). These findings may provide available information with advancing attraction for government policy-maker.

Furthermore, in this work, medical students with psychological health problems, especially those with depression, believed that the epidemic led to a more difficult employment situation, lower satisfaction with their major, and were more inclined to change their career plans. Analogously, a survey with masters from all Polish medical schools reveals that 17% of respondents are willing to work at the pandemic frontline; ~40% of them declares the need for psychological or psychiatric consultation to address pandemic challenges, and some of them announces that their zeal toward the medical profession is affected by an increase in social aversion and mistrust toward doctors (20). In addition, Hagiya et al. discovers a very low proportion of interest in becoming an infectious disease specialist among medical students, which indicates that experience of COVID-19 discourages Japanese medical students from considering infectious disease as an option for their future careers (21). Particularly, a survey of medical students in Hubei Province demonstrates that grade level, attitude toward health care, and the level of the pandemic's impact on their lives significantly influence career intentions alterations (5). Previous studies demonstrate medical students' attitude toward COVID-19 and influence of it can affect career decisions. For example, fear of COVID-19 and life satisfaction are reported to be positive/negative effects on occupational turnover intention among nursing students (22). A Taiwan's study clarifies that prelicensure nursing students' attitudes toward the pandemic exert a direct impact on their perceived control and decision-making attitude about their career (23). The aforementioned data emphasize that determining associated factors influencing future employment decisions is crucial for formulating guidance strategies applicable to modifying medical students' careers.

Considering post-graduation options and attending training/lectures about future career prospects since entering university were conducive to reducing employment pressure caused by the epidemic, timely adjustments in career planning and increasing future career identity (2426). From our survey, internship experience contributed to making adjustments based on career planning for medical students. Apart from it, there are other factors that produces an effect on career planning from previous studies as follow. A survey from Geneva suggests that enriched clinical exposure has a positive impact on relieving stress and enhancing professional identity (27). Another study of Chinese medical students points out that scant social support, depression, and higher grades are determined to negatively influence career attitude (28). Analogously, attitudes toward occupation, grades, major, and college choice are suggested to produce effects on the professional identity of medical students (25). Briefly, in the post-COVID-19 period, strengthening educational measures directed at career planning are warranted to strengthen medical students' professional identity.

This study also exists several limitations. First, the present study is based on cross-sectional survey that catches the influence of COVID-19 at a point in time and longitudinal influence is unclear. Second, introduction of data on non-medical students may be more powerful in illustrating the impact of COVID-19 on medical students. Third, the inclusion of multiple regions will be more meaningful to explore the role of regional differences in this study.

In summary, our results revealed multiple associated factors for medical students' psychological problems, future employment decision-making and professional identity. It is necessary to take effective measures, in accordance with local conditions, to intervene in the psychological problems of medical students that were triggered by the epidemic. Strengthening updated knowledge of COVID-19, actively guiding the employment planning of medical students according to individual needs, and strengthening career planning training and lectures will be conducive to promoting psychological health and positive career attitudes of medical students.

Statements

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Ethics statement

The studies involving human participants were reviewed and approved by Shandong First Medical University. The patients/participants provided their written informed consent to participate in this study. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.

Author contributions

YW designed the study. JingxW, CY, JingzW, XS, and WS collected and analyzed all the data. YW and CY wrote the manuscript. All authors contributed to the article and approved the submitted version.

Funding

This study was supported by the National Natural Science Foundation of China (NSFC) (81871059), Shandong Provincial Natural Science Foundation (ZR2021MH406 and ZR2021QH242), and Academic Promotion Programme of Shandong First Medical University (2019QL016).

Acknowledgments

We thank the assistances of Hui Yu, Qiyao Zhang, Xin Han, and Min Li in the collection of questionnaire.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

  • 1.

    LaiJMaSWangYCaiZHuJWeiNet al. Factors associated with mental health outcomes among health care workers exposed to coronavirus disease 2019. JAMA Netw Open. (2020) 3:e203976. 10.1001/jamanetworkopen.2020.3976

  • 2.

    ZhouTXuCWangCShaSWangZZhouYet al. Burnout and well-being of healthcare workers in the post-pandemic period of COVID-19: a perspective from the job demands-resources model. BMC Health Serv Res. (2022) 22:284. 10.1186/s12913-022-07608-z

  • 3.

    PinhoRCostaTF. Mental health and burnout syndrome among postgraduate students in medical and multidisciplinary residencies during the COVID-19 pandemic in Brazil: Protocol for a prospective cohort study. JMIR Res Protoc. (2021) 10:e24298. 10.2196/24298

  • 4.

    ZhangLQiHWangLWangFHuangJLiFet al. Effects of the COVID-19 pandemic on acute stress disorder and career planning among healthcare students. Int J Ment Health Nurs. (2021) 30:90716. 10.1111/inm.12839

  • 5.

    WangX-LLiuM-XPengSYangLLuCShouS-Cet al. Impact of the COVID-19 pandemic on career intention amongst undergraduate medical students: a single-centre cross-sectional study conducted in Hubei Province. BMC Med Educ. (2022) 22:154. 10.1186/s12909-022-03201-4

  • 6.

    XieJLiXLuoHHeLGuoY. Depressive symptoms, sleep quality and diet during the 2019 novel Coronavirus epidemic in China: a survey of medical students. Front Public Health. (2020) 8:588578. 10.3389/fpubh.2020.588578

  • 7.

    LiuJZhuQFanWMakamureJZhengCWangJ. Online mental health survey in a medical college in China during the COVID-19 outbreak. Front Psychiatry. (2020) 11:e459. 10.3389/fpsyt.2020.00459

  • 8.

    GongZLiWBuHHeMHouHMaTet al. Impact of COVID-19 pandemic on the professional intention of medical and related students. BMC Med Educ. (2021) 21:484. 10.1186/s12909-021-02922-2

  • 9.

    LovibondPFLovibondSH. The structure of negative emotional states: comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behav Res Ther. (1995) 33:33543. 10.1016/0005-7967(94)00075-U

  • 10.

    BastienCHVallièresAMorinCM. Validation of the Insomnia Severity Index as an outcome measure for insomnia research. Sleep Med. (2001) 2:297307. 10.1016/S1389-9457(00)00065-4

  • 11.

    MashelAFYaagoubAHSaadASD. Anxiety levels amid the COVID-19 lockdown in Saudi Arabia. Int J Gen Med. (2021) 14:216171. 10.2147/IJGM.S312465

  • 12.

    ZhangCPengD. Individual perceived stress mediates psychological distress in medical workers during COVID-19 epidemic outbreak in Wuhan. Neuropsychiatric Dis Treatment. (2020) 16:252937. 10.2147/NDT.S266151

  • 13.

    ShpakouANaumauIAKrestyaninovaTYZnatnovaAVLolliniSVSurkovSet al. Physical activity, life satisfaction, stress perception and coping strategies of university students in Belarus during the COVID-19 pandemic. Int J Environ Res Public Health. (2022) 19:8629. 10.3390/ijerph19148629

  • 14.

    AlkureishiMLJaishankarDDaveSTatineniSZhuMChretienKCet al. Impact of the early phase of the COVID-19 pandemic on medical student well-being: a multisite survey. J Gen Intern Med. (2022) 37:215664. 10.1007/s11606-022-07497-2

  • 15.

    WangCYanSJiangHGuoYGanYLvCet al. Socio-demographic characteristics, lifestyles, social support quality and mental health in college students: a cross-sectional study. BMC Public Health. (2022) 22:1583. 10.1186/s12889-022-14002-1

  • 16.

    ZolotarevaABelousovaSDanilovaITseilikmanVLapshinMSarapultsevaLet al. Somatic and psychological distress among Russian university students during the COVID-19 pandemic. Int J Psychiatry Med. 2022:912174221123444. 10.1177/00912174221123444

  • 17.

    IdowuOMAdaramolaOGAderounmuBSOlugbamigbe ID DadaOEOsifesoACet al. A gender comparison of psychological distress among medical students in Nigeria during the Coronavirus pandemic: a cross-sectional survey. Afr Health Sci. (2022) 22:54150. 10.4314/ahs.v22i1.63

  • 18.

    CiptaDAWijoviFMelisaLLiliRMarcellaETancherlaAet al. Burnout prevalence and degree among undergraduate medical students in Indonesia during 1 month of the COVID-19 pandemic: A cross-sectional descriptive survey. Int J Soc Psychiatry. (2022) 68:12327. 10.1177/00207640221116812

  • 19.

    LiuSGuYYangYSchroederE. Chen Y. Tackling brain drain at Chinese CDCs: understanding job preferences of public health doctoral students using a discrete choice experiment survey. Human Resourc Health. (2022) 20:46. 10.1186/s12960-022-00743-y

  • 20.

    ForyckaJPawłowicz-SzlarskaEBurczyńskaACegielskaNHarendarzKNowickiM. Polish medical students facing the pandemic—assessment of resilience, well-being and burnout in the COVID-19 era. PLoS ONE. (2022) 17:e0261652. 10.1371/journal.pone.0261652

  • 21.

    HagiyaHOtsukaYTokumasuKHondaHNishimuraYObikaMet al. Interest in Infectious Diseases specialty among Japanese medical students amidst the COVID-19 pandemic: a web-based, cross-sectional study. PLoS ONE. (2022) 17:e0267587. 10.1371/journal.pone.0267587

  • 22.

    LinYHuZDanaeeMAliasHWongLP. The impact of the COVID-19 pandemic on future nursing career turnover intention among nursing students. Risk Manag Healthc Policy. (2021) 14:3605. 10.2147/RMHP.S322764

  • 23.

    LinS-CNiL-FWangY-MLeeSHLiaoH-CHuangC-Yet al. Prelicensure nursing students' COVID-19 attitude impact on nursing career decision during pandemic threat in Taiwan: a cross-sectional study. Int J Environ Res Public Health. (2021) 18:3272. 10.3390/ijerph18063272

  • 24.

    ParkGMHongAJ. “Not yet a doctor”: medical student learning experiences and development of professional identity. BMC Med Educ. (2022) 22:146. 10.1186/s12909-022-03209-w

  • 25.

    LaiTLiangWZhongMZhuPLiB. Current status of Chinese medical students' professional identity after COVID-19 and the factors that influence it. Front Psychol. (2022) 13:816767. 10.3389/fpsyg.2022.816767

  • 26.

    FrisDAHvan VianenAEMKoenJde HoogMde PagterAPJ. Medical students' career decision-making stress during clinical clerkships. Perspect Med Educ. (2022) 11:3508. 10.1007/s40037-022-00734-8

  • 27.

    WurthSSaderJCeruttiBBroersBBajwaNMCarballoSet al. Medical students' perceptions and coping strategies during the first wave of the COVID-19 pandemic: studies, clinical implication, and professional identity. BMC Med Educ. (2021) 21:111. 10.1186/s12909-021-03053-4

  • 28.

    YangXGaoLZhangSZhangLZhangLZhouSet al. The professional identity and career attitude of Chinese medical students during the COVID-19 pandemic: a cross-sectional survey in China. Front Psychiatry. (2022) 13:774467. 10.3389/fpsyt.2022.774467

Summary

Keywords

post-epidemic era, medical students, career choice, different regions in China, psychological health

Citation

Wang J, Yang C, Wang J, Sui X, Sun W and Wang Y (2023) Factors affecting psychological health and career choice among medical students in eastern and western region of China after COVID-19 pandemic. Front. Public Health 11:1081360. doi: 10.3389/fpubh.2023.1081360

Received

27 October 2022

Accepted

17 February 2023

Published

08 March 2023

Volume

11 - 2023

Edited by

Wulf Rössler, Charité Universitätsmedizin Berlin, Germany

Reviewed by

Mandaras Tariku Walde, Haramaya University, Ethiopia; Bing Xiang Yang, Wuhan University, China; Ming Zhang, Wannan Medical College, China

Updates

Copyright

*Correspondence: Yue Wang

†These authors have contributed equally to this work

This article was submitted to Public Mental Health, a section of the journal Frontiers in Public Health

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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