Anxiety and depressive symptoms in college students during the late stage of the COVID-19 outbreak: a network approach
Open accessAbstract
Mental health problems are common in college students even in the late stage of the coronavirus disease 2019 (COVID-19) outbreak. Network analysis is a novel approach to explore interactions of mental disorders at the symptom level. The aim of this study was to elucidate characteristics of depressive and anxiety symptoms network in college students in the late stage of the COVID-19 outbreak. A total of 3062 college students were included. The seven-item Generalized Anxiety Disorder Scale (GAD-7) and nine-item Patient Health Questionnaire (PHQ-9) were used to measure anxiety and depressive symptoms, respectively. Central symptoms and bridge symptoms were identified based on centrality and bridge centrality indices, respectively. Network stability was examined using the case-dropping procedure. The strongest direct relation was between anxiety symptoms “Nervousness” and “Uncontrollable worry”. “Fatigue” has the highest node strength in the anxiety and depression network, followed by “Excessive worry”, “Trouble relaxing”, and “Uncontrollable worry”. “Motor” showed the highest bridge strength, followed by “Feeling afraid” and “Restlessness”. The whole network was robust in both stability and accuracy tests. Central symptoms “Fatigue”, “Excessive worry”, “Trouble relaxing” and “Uncontrollable worry”, and critical bridge symptoms “Motor”, “Feeling afraid” and “Restlessness” were highlighted in this study. Targeting interventions to these symptoms may be important to effectively alleviate the overall level of anxiety and depressive symptoms in college students.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
During the COVID-19 pandemic, the mental health of college students was negatively impacted by anxiety, depressive symptoms, and acute stress.
“During the pandemic, the mental health of college students was negatively impacted by anxiety, depressive symptoms, and acute stress, as shown by numerous studies (Bai et al. 2021; Huckins et al. 2020; Ma et al. 2020; Wu et al. 2021).”
From Changes in Mental Health and EEG Biomarkers of Undergraduates Under Different Patterns of Mindfulness (2024) · cites this paper as Bai et al. 2021
The Introduction reports increased depression and anxiety among college students during the COVID-19 outbreak. It also describes long-term stress and psychological distress associated with public-health measures, but does not support the claim specifically about acute stress. (LLM, conf=0.88)
Experimental — accuracy not yet measuredWe exposed a strong correlation between being afraid and being able to relax within the anxiety and depression network structure among CSA male survivors, which was reported in previous network analyses as well.
“We exposed a strong correlation between being afraid and being able to relax within the anxiety and depression network structure among CSA male survivors, which was reported in previous network analyses as well [ 89 , 90 ].”
From Anxiety and Depression Symptoms among Youth Survivors of Childhood Sexual Abuse: A Network Analysis (2023) · cites this paper as [89]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Regression shrinkage and selection via the lasso
Tibshirani, R. (1996) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1996.tb02080.x · Cited by 51,482 · see citing works
The PHQ-9: Validity of a brief depression severity measure
Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2001) · Journal of General Internal Medicine · doi:10.1046/j.1525-1497.2001.016009606.x · Cited by 44,910 · see citing works
A Brief Measure for Assessing Generalized Anxiety Disorder: The GAD-7
Spitzer, R. L., Kroenke, K., Williams, J. B. W., & Löwe, B. (2006) · Archives of Internal Medicine · doi:10.1001/archinte.166.10.1092 · Cited by 31,765 · see citing works
Estimating psychological networks and their accuracy: A tutorial paper
Epskamp, S., Borsboom, D., & Fried, E. I. (2018) · Behavior Research Methods · doi:10.3758/s13428-017-0862-1 · Cited by 5,715 · see citing works
Qgraph: Network visualizations of relationships in psychometric data
Epskamp, S., Cramer, A., Waldorp, L., Schmittmann, V., & Borsboom, D. (2012) · Journal of Statistical Software · doi:10.18637/jss.v048.i04 · Cited by 4,844 · see citing works
Node centrality in weighted networks: Generalizing degree and shortest paths
Opsahl, T., Agneessens, F., & Skvoretz, J. V. (2010) · Social Networks · doi:10.1016/j.socnet.2010.03.006 · Cited by 3,734 · see citing works
A network theory of mental disorders
Borsboom, D. (2017) · World Psychiatry · doi:10.1002/wps.20375 · Cited by 3,482 · see citing works
Auerbach, R. P., Collaborators, W. W.-I., Mortier, P., Bruffaerts, R., Alonso, J., Benjet, C., Cuijpers, P., Demyttenaere, K., Ebert, D. D., Green, J. G., et al. (2018) · Journal of Abnormal Psychology · doi:10.1037/abn0000362 · Cited by 2,522 · cited 1× · see citing works
“Compared to most other subpopulations, college students are more likely to experience mental health problems [10].”
Background2019-nCoV epidemic: Address mental health care to empower society
Bao, Y., Sun, Y., Meng, S., Shi, J., & Lu, L. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30309-3 · Cited by 2,038 · see citing works
Bridge Centrality: A Network Approach to Understanding Comorbidity
Jones, P. J., Ma, R., & McNally, R. J. (2019) · Multivariate Behavioral Research · doi:10.1080/00273171.2019.1614898 · Cited by 1,778 · see citing works
Comparing network structures on three aspects: A permutation test.
van Borkulo, C. D., van Bork, R., Boschloo, L., Kossakowski, J. J., Tio, P., Schoevers, R. A., Borsboom, D., & Waldorp, L. (2022) · Psychological Methods · doi:10.1037/met0000476 · Cited by 1,578 · see citing works
Wang, W., Bian, Q., Zhao, Y., Li, X., Wang, W., Du, J., Zhang, G., Zhou, Q., & Zhao, M. (2014) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2014.05.021 · Cited by 1,480 · see citing works
What do centrality measures measure in psychological networks?
Bringmann, L. F., Elmer, T., Epskamp, S., Krause, R. W., Schoch, D., Wichers, M., Wigman, J. T. W., & Snippe, E. (2019) · Journal of Abnormal Psychology · doi:10.1037/abn0000446 · Cited by 1,384 · see citing works
Network analysis of depression and anxiety symptom relationships in a psychiatric sample
Beard, C., Millner, A. J., Forgeard, M. J. C., Fried, E. I., Hsu, K. J., Treadway, M. T., Leonard, C. V., Kertz, S. J., & Björgvinsson, T. (2016) · Psychological Medicine · doi:10.1017/s0033291716002300 · Cited by 929 · see citing works
Gao, W., Ping, S., & Liu, X. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.11.121 · Cited by 851 · see citing works
mgm : Estimating Time-Varying Mixed Graphical Models in High-Dimensional Data
Haslbeck, J. M. B., & Waldorp, L. (2020) · Journal of Statistical Software · doi:10.18637/jss.v093.i08 · Cited by 775 · see citing works
Kleinman, A. (2004) · New England Journal of Medicine · doi:10.1056/nejmp048078 · Cited by 774 · see citing works
Hasan, N., & Bao, Y. (2020) · Children and Youth Services Review · doi:10.1016/j.childyouth.2020.105355 · Cited by 661 · see citing works
Generalized Network Psychometrics: Combining Network and Latent Variable Models
Epskamp, S., Rhemtulla, M., & Borsboom, D. (2017) · Psychometrika · doi:10.1007/s11336-017-9557-x · Cited by 642 · see citing works
Haslbeck, J. M. B., & Waldorp, L. (2017) · Behavior Research Methods · doi:10.3758/s13428-017-0910-x · Cited by 637 · see citing works
Jacobson, N. C., & Newman, M. G. (2017) · Psychological Bulletin · doi:10.1037/bul0000111 · Cited by 576 · see citing works
Comparing network structures on three aspects: A permutation test
van Borkulo, C. D., Boschloo, L., Kossakowski, J. J., Tio, P., Schoevers, R. A., Borsboom, D., & Waldorp, L. (2017) · doi:10.13140/rg.2.2.29455.38569 · Cited by 465 · see citing works
The Study of Psychopathology from the Network Analysis Perspective: A Systematic Review
Contreras, A., Nieto, I., Valiente, C., Espinosa, R., & Vázquez, C. (2019) · Psychotherapy and Psychosomatics · doi:10.1159/000497425 · Cited by 455 · see citing works
Compton, W. M., Conway, K. P., Stinson, F. S., & Grant, B. F. (2006) · American Journal of Psychiatry · doi:10.1176/ajp.2006.163.12.2141 · Cited by 445 · see citing works
How predictable are symptoms in psychopathological networks? A reanalysis of 18 published datasets
Haslbeck, J. M. B., & Fried, E. I. (2017) · Psychological Medicine · doi:10.1017/s0033291717001258 · Cited by 434 · see citing works
A complex network perspective on clinical science
Hofmann, S. G., Curtiss, J., & McNally, R. J. (2016) · Perspectives on Psychological Science · doi:10.1177/1745691616639283 · Cited by 366 · see citing works
Chang, J., Yuan, Y., & Wang, D. (2020) · PubMed Central · doi:10.12122/j.issn.1673-4254.2020.02.06 · Cited by 349 · see citing works
Li, Y., Zhao, J., Ma, Z., McReynolds, L. S., Lin, D., Chen, Z., Wang, T., Wang, D., Zhang, Y., Zhang, J., et al. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.11.109 · Cited by 344 · see citing works
Yang, C., Chen, A., & Chen, Y. (2021) · PLOS ONE · doi:10.1371/journal.pone.0246676 · Cited by 313 · see citing works
Qin, X., Wang, S., & Hsieh, C. (2016) · China Economic Review · doi:10.1016/j.chieco.2016.04.001 · Cited by 228 · see citing works
Wang, Y. Y., Hu, Z., Feng, Y., Wilson, A. D., & Chen, R. (2020) · Molecular Psychiatry · doi:10.1038/s41380-020-00881-6 · Cited by 200 · see citing works
Garabiles, M. R., Lao, C. K., Xiong, A. Y., & Hall, B. J. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.02.062 · Cited by 197 · see citing works
Kılınçel, Ş., Kılınçel, O., Muratdağı, G., Aydın, A., & Usta, M. B. (2021) · Asia-Pacific Psychiatry · doi:10.1111/appy.12406 · Cited by 171 · see citing works
Hopelessness: A Network Analysis
Marchetti, I. (2018) · Cognitive Therapy and Research · doi:10.1007/s10608-018-9981-y · Cited by 167 · see citing works
Park, S., & Kim, D. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.03.078 · Cited by 167 · see citing works
Network structure of depression and anxiety symptoms in Chinese female nursing students
Ren, L., Wang, Y., Wu, L., Wei, Z., Cui, L., Wei, X., Hu, X., Peng, J., Jin, Y., Li, F., et al. (2021) · BMC Psychiatry · doi:10.1186/s12888-021-03276-1 · Cited by 166 · see citing works
Stress and sleep in college students prior to and during the COVID‐19 pandemic
Benham, G. (2020) · Stress and Health · doi:10.1002/smi.3016 · Cited by 152 · see citing works
Jenkins, P. E., Ducker, I., Gooding, R., James, M., & Rutter-Eley, E. (2021) · Journal of American College Health · doi:10.1080/07448481.2019.1709474 · Cited by 147 · see citing works
Liu, Y., Yue, S., Hu, X., Zhu, J. L., Wu, Z., Wang, J., & Wu, Y. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.02.001 · Cited by 144 · see citing works
Yu, M., Tian, F., Cui, Q., & Wu, H. L. (2021) · BMC Psychiatry · doi:10.1186/s12888-021-03066-9 · Cited by 140 · see citing works
Attitudes toward COVID-19 vaccines in Chinese college students
Bai, W., Cai, H. X., Liu, S., Liu, H., Qi, H., Chen, X., Liu, R., Cheung, T. C. C., Su, Z., Ng, C. H., et al. (2021) · International Journal of Biological Sciences · doi:10.7150/ijbs.58835 · Cited by 101 · see citing works
Self-citationPan, X., Xiao, Y., Ren, D., Xu, Z., Zhang, Q., Yang, L., Liu, F., Hao, Y., Zhao, F., & Bai, Y. (2020) · Asia-Pacific Psychiatry · doi:10.1111/appy.12427 · Cited by 79 · see citing works
Zhao, Y.-J., Jin, Y., Rao, W., Li, W., Zhao, N., Cheung, T. C. C., Ng, C. H., Wang, Y. Y., Zhang, Q., & Xiang, Y. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.03.016 · Cited by 69 · see citing works
Self-citationGu, Y., Zhu, Y., Xu, F.-Z., Xi, J., & Xu, G. (2020) · Asia-Pacific Psychiatry · doi:10.1111/appy.12443 · Cited by 62 · see citing works
Venugopal, V. C., Mohan, A., & Chennabasappa, L. K. (2020) · Asia-Pacific Psychiatry · doi:10.1111/appy.12412 · Cited by 46 · see citing works
The prevalence of fatigue among Chinese nursing students in post-COVID-19 era
Liu, S., Xi, H., Zhu, Q., Ji, M., Zhang, H., Yang, B. X., Bai, W., Cai, H. X., Zhao, Y.-J., Chen, L., et al. (2021) · PeerJ · doi:10.7717/peerj.11154 · Cited by 43 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- [28]He XY, Li CB, Qian J, Cui HS, Wu WY. Reliability and validity of a generalized anxiety disorder scale in general hospital outpatients (in Chinese). Shanghai Arch Psychiatry. 2010;22:200–203.
Cited by
Sorted by citations
Anxiety and Depression Symptoms among Youth Survivors of Childhood Sexual Abuse: A Network Analysis
Li, J., Jin, Y., Xu, S., Luo, X., Wilson, A., Li, H., Wang, X., Sun, X., & Wang, Y. (2023) · BMC Psychology · doi:10.1186/s40359-023-01275-3 · Cited by 29 · see citing works
Yan, K., Yusufi, M. H., & Nazari, N. (2022) · World Journal of Clinical Cases · doi:10.12998/wjcc.v10.i24.8599 · Cited by 16 · see citing works
Luo, M., Gan, Q., Huang, Z., Jiang, Y., Li, K., Wu, M., Yang, D., Shao, H., Chen, Y., Fu, Y., et al. (2024) · Brain Topography · doi:10.1007/s10548-023-01026-y · Cited by 3 · see citing works
“During the pandemic, the mental health of college students was negatively impacted by anxiety, depressive symptoms, and acute stress, as shown by numerous studies (Bai et al. 2021; Huckins et al. 2020; Ma et al. 2020; Wu et al. 2021).”
- Authors
- Bai, W., Cai, H., Liu, S., Chen, X., Sha, S., Cheung, T., Lin, J. J., Cui, X., Ng, C. H., & Xiang, Y.-T.
- Affiliations
- University of Macau (MO)
- Qinghai University (CN)
- Capital Medical University (CN)
- Hong Kong Polytechnic University (HK)
- Hong Kong Shue Yan University (CN)
- The University of Melbourne (AU)
- Corresponding author
- Sha, Sha
- Venue
- Translational Psychiatry
- Published
- 2021-12-17
- Volume
- 11
- Issue
- 1
- Pages
- 638-638
- ISSN
- 2158-3188 (ISSN-L)
- PMC
- PMC8678580
- OpenAlex
- W4200444645
- Cited by
- 89
- References
- 46
- Citations by year
- 2026: 14 · 2025: 21 · 2024: 23 · 2023: 23 · 2022: 8
- FWCI
- 13.05
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Translational Psychiatry (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PolyU Institutional Research Archive (Hong Kong Polytechnic University) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Minerva Access (University of Melbourne) (submittedVersion, cc-by)
- Funders
- Universidade de Macau (MYRG2019‐00066‐FHS, 2018ZX09201-014)
- Beijing Municipal Administration of Hospitals (PX2018063)
- National Science and Technology Major Project
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- anxiety symptoms, depressive symptoms, university students, COVID-19 pandemic, symptom networks, central symptoms, bridge symptoms, fatigue, excessive worry, restlessness, mental health
- MeSH terms
- COVID-19, SARS-CoV-2, Anxiety, Depression, Disease Outbreaks, Humans, Students
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review