The DOI matches its Crossref record; 125 of the 128 references it cites were found in a registry or an index, and 3 are not checked yet.
Psychological impacts from COVID-19 among university students: Risk factors across seven states in the United States
Open accessAbstract
Background: University students are increasingly recognized as a vulnerable population, suffering from higher levels of anxiety, depression, substance abuse, and disordered eating compared to the general population. Therefore, when the nature of their educational experience radically changes—such as sheltering in place during the COVID-19 pandemic—the burden on the mental health of this vulnerable population is amplified. The objectives of this study are to 1) identify the array of psychological impacts COVID-19 has on students, 2) develop profiles to characterize students' anticipated levels of psychological impact during the pandemic, and 3) evaluate potential sociodemographic, lifestyle-related, and awareness of people infected with COVID-19 risk factors that could make students more likely to experience these impacts. Methods: Cross-sectional data were collected through web-based questionnaires from seven U.S. universities. Representative and convenience sampling was used to invite students to complete the questionnaires in mid-March to early-May 2020, when most coronavirus-related sheltering in place orders were in effect. We received 2,534 completed responses, of which 61% were from women, 79% from non-Hispanic Whites, and 20% from graduate students. Results: Exploratory factor analysis on close-ended responses resulted in two latent constructs, which we used to identify profiles of students with latent profile analysis, including high (45% of sample), moderate (40%), and low (14%) levels of psychological impact. Bivariate associations showed students who were women, were non-Hispanic Asian, in fair/poor health, of below-average relative family income, or who knew someone infected with COVID-19 experienced higher levels of psychological impact. Students who were non-Hispanic White, above-average social class, spent at least two hours outside, or less than eight hours on electronic screens were likely to experience lower levels of psychological impact. Multivariate modeling (mixed-effects logistic regression) showed that being a woman, having fair/poor general health status, being 18 to 24 years old, spending 8 or more hours on screens daily, and knowing someone infected predicted higher levels of psychological impact when risk factors were considered simultaneously. Conclusion: Inadequate efforts to recognize and address college students’ mental health challenges, especially during a pandemic, could have long-term consequences on their health and education.
Overview
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
Verification
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?
The cited source says what the claim attributes to it.
In the citing paper
“undergraduate students in lockdown, namely that they suffered increasing severity of anxiety and depressive symptoms [48], manifested in poorer sleep quality, poorer academic performance and increased suicidal thoughts in the university populations [49,50,51,52,53,54,55,56,57,58].”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Tabachnick, B. G., & Fidell, L. S. (1983) · Cited by 79,882
Interrater reliability: The kappa statistic
McHugh, M. L. (2012) · Biochemia Medica · doi:10.11613/bm.2012.031 · Cited by 19,877
(1996) · Cited by 11,584
Qualitative research: Methods in the social sciences
(2006) · PsycEXTRA Dataset · doi:10.1037/e668352010-001 · Cited by 10,619
A general and simple method for obtaining R 2 from generalized linear mixed‐effects models
Nakagawa, S., & Schielzeth, H. (2013) · Methods in Ecology and Evolution · doi:10.1111/j.2041-210x.2012.00261.x · Cited by 10,356
Ellison, N. B., Steinfield, C., & Lampe, C. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00367.x · Cited by 9,939
Evaluating the use of exploratory factor analysis in psychological research.
Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999) · Psychological Methods · doi:10.1037/1082-989x.4.3.272 · Cited by 9,587
Determining Validity in Qualitative Inquiry
Creswell, J. W., & Miller, D. L. (2000) · Theory Into Practice · doi:10.1207/s15430421tip3903_2 · Cited by 9,184 · cited 1×
“Each response was coded separately and reviewed for agreement [45, 46].”
BackgroundTARGET ARTICLE: "Posttraumatic Growth: Conceptual Foundations and Empirical Evidence"
Tedeschi, R. G., & Calhoun, L. G. (2004) · Psychological Inquiry · doi:10.1207/s15327965pli1501_01 · Cited by 7,154
The psychological impact of the COVID-19 epidemic on college students in China
Cao, W., Fang, Z., Hou, G., Han, M., Xu, X., Dong, J., & Zheng, J. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2020.112934 · Cited by 5,843
Flagged first, then by citations
Research works printed but not linked: 4
- ME Loades, 2020, J Am Acad Child Adolesc Psychiatry, 1
- Centers for Disease Control and Prevention, 2018, Healthy Days Core Module: HRQOL-14 Measure, 1
- J Nash, 2014, Stress and diabetes: The use of “worry time” as a way of managing stress, Journal of Diabetes Nursing, 18, 329
- S Galea, 2020, The mental health consequences of COVID-19 and physical distancing, 180, 817
Cited by
Sorted by citations
Deng, J., Zhou, F., Hou, W., Silver, Z. A., Wong, C. Y., Chang, O., Drakos, A., Zuo, Q., & Huang, E. (2021) · Psychiatry Research · doi:10.1016/j.psychres.2021.113863 · Cited by 532
Bioplastic production in terms of life cycle assessment: A state-of-the-art review
Ali, S. S., Abdelkarim, E. A., Elsamahy, T., Al-Tohamy, R., Li, F., Kornaros, M. E., Zuorro, A., Zhu, D., & Sun, J. (2023) · Environmental Science and Ecotechnology · doi:10.1016/j.ese.2023.100254 · Cited by 411
Ochnik, D., Rogowska, A. M., Kuśnierz, C., Jakubiak, M., Schütz, A., Held, M. J., Arzenšek, A., Benatov, J., Berger, R., Korchagina, E. V., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-97697-3 · Cited by 220
Babicka-Wirkus, A., Wirkus, Ł., Stasiak, K., & Kozłowski, P. (2021) · PLoS ONE · doi:10.1371/journal.pone.0255041 · Cited by 229
Labib, S. M., Browning, M. H. E. M., Rigolon, A., Helbich, M., & James, P. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.155095 · Cited by 178
Self-citation
Metadata
- Authors
- Browning, M. H. E. M., Larson, L. R., Sharaievska, I., Rigolon, A., McAnirlin, O., Mullenbach, L., Cloutier, S., Vu, T. M., Thomsen, J., Reigner, N., Metcalf, E. C., D'Antonio, A., Helbich, M., Bratman, G. N., & Alvarez, H. O.
- Affiliations
- Clemson University (US)
- North Carolina State University (US)
- University of Utah (US)
- Arizona State University (US)
- University of Montana (US)
- Pennsylvania State University (US)
- Utrecht University (NL)
- University of Washington (US)
- Corresponding author
- Browning, Matthew H. E. M.
- ORCID
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2021-01-07
- Volume
- 16
- Issue
- 1
- Pages
- e0245327
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC7790395
- OpenAlex
- W3118613563
- Cited by
- 888
- References
- 125
- Citations by year
- 2026: 23 · 2025: 71 · 2024: 133 · 2023: 222 · 2022: 279 · 2021: 159
- FWCI
- 135.73
- Type
- journal article
- Language
- en
- Update notices
- correction (2022-08-26)
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- TigerPrints (Clemson University) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- Topics
- Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
- Social Sciences › Psychology › Developmental and Educational Psychology › Student Stress and Coping
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Maternal Mental Health During Pregnancy and Postpartum
- Keywords
- COVID-19 pandemic, university students, student mental health, psychological impact, risk factors, anxiety, depression, substance abuse, disordered eating, sheltering in place, sociodemographic factors, health status, screen time, latent profiles, gender differences
- MeSH terms
- Social Factors, COVID-19, Adult, Cross-Sectional Studies, Female, Humans, Male, Mental Health, Middle Aged, Risk Factors, Students, United States, Universities, Young Adult
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