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Journal Article

Mental health conditions and academic burnout among medical and non-medical undergraduates during the mitigation of COVID-19 pandemic in China

Qian Yang; Yueheng Liu; Winson Fuzun Yang; Pu Peng; Shubao Chen; Yunfei Wang; Xin Wang; Manyun Li; Yingying Wang; Yuzhu Hao; Li He; Qianjin Wang; Junhong Zhang; Yuejiao Ma; Haoyu He; Yanan Zhou; Jiang Long; Chang Qi; Yi-Yuan Tang; Yanhui Liao; Jinsong Tang; Qiuxia Wu; Tieqiao Liu
Environmental Science and Pollution Research · Vol. 29, Issue 38 · pp. 57851-57859 · 2022

Abstract

The outbreak of the novel coronavirus disease 2019 (COVID-19) has posed a great impact on people’s mental health, especially for undergraduate students. This study aimed to compare the mental health conditions and academic burnout between medical and non-medical undergraduates in China when the COVID-19 pandemic is mitigating. A cross-sectional online survey was conducted among 4,972 undergraduates between October 2020 and April 2021, when the pandemic was basically under control. The survey included basic demographics information and standardized scales to evaluate depression, anxiety, perceived stress, daytime sleepiness, alcohol abuse/dependence, quality of life, fatigue, and academic burnout. Compared with medical undergraduates, non-medical undergraduates had higher rates of moderate to severe depression symptoms (29.1% vs. 17.9%, P < 0.001), moderate to severe anxiety symptoms (19.7% vs. 8.9%, P < 0.001), alcohol abuse/dependence (16.3% vs.10.3%, P < 0.001), excessive daytime sleepiness (47.4% vs. 43.4%, P = 0.018), high perceived stress (34.7% vs. 22.2%, P < 0.001), high level of fatigue (51.8% vs. 42.2%, P < 0.001), low QOL (35.8% vs. 21.4%, P < 0.001), and higher academic burnout score (59.4 vs. 57.5, P < 0.001). Being non-medical undergraduates, depression, alcohol abuse/dependence, excessive daytime sleepiness, and high perceived stress were positively associated with academic burnout, while high QOL was negatively associated with the burnout (all P < 0.001). Excessive daytime sleepiness was the strongest predictor for academic burnout.

Bibliographic Information

JournalEnvironmental Science and Pollution Research
PublisherSpringer
Publication Date2022-08-01
Publication Year2022
Volume29
Issue38
Pages57851-57859
Document TypeJournal Article
eISSN1614-7499
DOI10.1007/s11356-022-19932-2

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NARA Access Coverage1994-01-01~Current
Journal Homepagehttps://www.springer.com/journal/11356
Publisher PageOpen Publisher Page
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