Psychological impacts from COVID-19 among university students: Risk factors across seven states in the United States

Психологические последствия COVID-19 среди студентов университетов: факторы риска в семи штатах США
Iryna Sharaievska, Alessandro Rigolon, Gregory N. Bratman, Matthew H. E. M. Browning, Jennifer Thomsen, Lincoln R. Larson, Marco Helbich, Hector A. Olvera‐Alvarez, Olivia McAnirlin, Lauren E. Mullenbach, Scott Cloutier, Tue Vu, Nathan Reigner, Elizabeth Covelli Metcalf, Ashley D’Antonio
2021-01-07

COVID-19 psychological impactsexploratory factor analysislatent profile analysisrisk factorsuniversity students
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.
1
Exploratory factor analysis identified two latent psychological-impact constructs, while latent profile analysis classified students into high-impact (45%), moderate-impact (40%), and low-impact (14%) profiles.
2
Higher psychological impact was associated with being a woman, non-Hispanic Asian, in fair or poor health, from a below-average-income family, or knowing someone infected with COVID-19.
3
Lower psychological impact was associated with being non-Hispanic White, having above-average social class, spending at least two hours outdoors, or spending fewer than eight hours on electronic screens.
4
The study surveyed 2,534 students across seven U.S. universities during the COVID-19 shelter-in-place period to assess psychological impacts and associated risk factors.

University students at seven U.S. universities during the COVID-19 pandemic

Psychological impacts of COVID-19 and their sociodemographic, lifestyle-related, and COVID-19 exposure risk factors

Publication Details
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2021-01-07
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Authors
Iryna Sharaievska
Alessandro Rigolon
Gregory N. Bratman
Matthew H. E. M. Browning
Jennifer Thomsen
Lincoln R. Larson
Marco Helbich
Hector A. Olvera‐Alvarez
Olivia McAnirlin
Lauren E. Mullenbach
Scott Cloutier
Tue Vu
Nathan Reigner
Elizabeth Covelli Metcalf
Ashley D’Antonio
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