A longitudinal analysis of the relationships among daytime dysfunction, fatigue, and depression in college students

Shim, Eun Jung; Noh, Hae Lim; Yoon, Jungmin; Mun, Han sol; Hahm, Bong Jin

doi:10.1080/07448481.2018.1462819

Cited by 24 publications

(19 citation statements)

References 46 publications

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“…Greater economic loss could lead to psychological distress, which may in turn increase the risk of fatigue. Similar findings were found in university students (Shim et al, 2019) before and during COVID-19 outbreak (Verma, 2020;Wang et al, 2020b). The relationship between fatigue and depression/anxiety were bidirectional (Thorsteinsson et al, 2019) (i.e., fatigue could increase the risk of depression and anxiety, and vice versa).…”

Section: Discussionsupporting

confidence: 81%

“…In another study, around 85% of patients with head and neck cancer experienced fatigue (Bossi et al, 2019). In addition, college students, particularly those enrolled in healthrelated subjects, often suffered from fatigue (Dol, 2016;Pallant, Sullivan & Kaluzny, 2020;Shim et al, 2019). For example, one study found that the prevalence of fatigue was 16.5% among medical students (Tanaka et al, 2008), while the corresponding figure was even higher among nursing students (39.1%) (De Moraes Amaducci, De Correa Mota & De Mattos Pimenta, 2010).…”

Section: Introductionmentioning

confidence: 99%

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The prevalence of fatigue among Chinese nursing students in post-COVID-19 era

Liu

Zhu

et al. 2021

PeerJ

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Background Due to the COVID-19 outbreak, all teaching activities in nursing schools were suspended in China, and many nursing students were summoned to work in hospitals to compensate for the shortage of manpower. This study examined the prevalence of fatigue and its association with quality of life (QOL) among nursing students during the post-COVID-19 era in China. Methods This was a multicenter, cross-sectional study. Nursing students in five Chinese universities were invited to participate. Fatigue, depressive and anxiety symptoms, pain and QOL were measured using standardized instruments. Results A total of 1,070 nursing students participated. The prevalence of fatigue was 67.3% (95% CI [64.4–70.0]). Multiple logistic regression analysis revealed that male gender (P = 0.003, OR = 1.73, 95% CI [1.20–2.49]), and being a senior nursing student (second year: OR = 2.20, 95% CI [1.46–3.33], P < 0.001; third year: OR = 3.53, 95% CI [2.31–5.41], P < 0.001; and fourth year OR = 3.59, 95% CI [2.39–5.40], P < 0.001) were significantly associated with more severe fatigue. In addition, moderate economic loss during the COVID-19 pandemic (OR = 1.48, 95% CI [1.08–3.33], P < 0.015; compared to low loss), participants with more severe depressive (OR = 1.48, 95% CI [1.22–1.78], P < 0.001) and anxiety symptoms (OR = 1.12, 95% CI [1.05–1.20], P = 0.001), and more severe pain (OR = 1.67, 95%CI [1.46–1.91], P < 0.001) were significantly associated with reported more severe fatigue. After controlling for covariates, nursing students with fatigue had a lower overall QOL score compared to those without (F(1, 1070) = 31.4, P < 0.001). Conclusion Fatigue was common among nursing students in the post-COVID-19 era. Considering the negative impact of fatigue on QOL and daily functioning, routine physical and mental health screening should be conducted for nursing students. Effective stress-reduction measures should be enforced to assist this subpopulation to combat fatigue and restore optimal health.

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Section: Discussionsupporting

confidence: 81%

Section: Introductionmentioning

confidence: 99%

The prevalence of fatigue among Chinese nursing students in post-COVID-19 era

Liu

Zhu

et al. 2021

PeerJ

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“…Similarly, we observed no differences in component 7, daytime dysfunction, which refers to sleepiness while performing everyday activities. Previous studies looking at daytime dysfunction in university students [ 40 ] observed that it worsened as the academic year went on, although not significantly. Based on the results we obtained, it seems that this component and component 6 are those least affected by lockdown.…”

Section: Discussionmentioning

confidence: 91%

Sleep Pattern Changes in Nursing Students during the COVID-19 Lockdown

Romero‐Blanco

Rodríguez‐Almagro

Onieva-Zafra

et al. 2020

IJERPH

142

114

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The prevalence of poor sleep quality among students is very high and, in nursing students, has been associated with reduced performance, behavioral changes, dietary changes, and even aggressive behavior due to changes in sleep patterns. The lockdown in response to COVID-19 may have resulted in lifestyle changes that affected sleep quality. For this reason, the objective of this study is to determine the difference in nursing students’ sleep quality before and during the lockdown, put in place in response to the coronavirus (COVID-19) pandemic. To meet this objective, we conducted a longitudinal observational study on 207 nursing students, with two cut-off points (February and April). The main dependent variable was sleep quality, measured using the Pittsburgh sleep quality index (PSQI) and its seven components. Parametric and nonparametric tests were used for paired and unpaired data, as well as group-stratified analysis. The mean time students spent in bed was 7.6 h (standard deviation (SD) = 1.1 h) before lockdown and 8.5 h (SD = 1.2 h) during lockdown. The PSQI score got 0.91 points worse during lockdown (95% CI, −0.51, −1.31). Of the five components, five were statistically significantly affected (p ≤ 0.05), and of these, the most changed were sleep latency, sleep duration, and sleep efficiency. When stratified by group, we observed differences in women, first-year students, second-year students, alcohol consumers, those of normal weight, and those that live with family. The main conclusion is that although students spent more time in bed, overall sleep quality was worse during lockdown, as well as being worse in five of the seven components.

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“…Tertiary-level students have high levels of distress, mental illness (such as depression), and suicidal ideation. [1][2][3][4][5][6][7] Systematic reviews in different countries have shown that these students have a high prevalence of depressive symptoms (11.0% to 34.0%), [8][9][10][11] which is higher than the World Health Organization estimated global prevalence of depression of 4.4%. 12 In Hong Kong, 68.5% of university students were reported to have mild-to-severe levels of depressive symptoms.…”

Section: Introductionmentioning

confidence: 99%

Alcohol Consumption and Depression Among University Students and Their Perception of Alcohol Use

Chow

Poon

Lui

et al. 2021

East Asian Arch Psychiatry

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Objectives: To investigate the association between alcohol use and depression among university students in Hong Kong, their stress-coping methods, and their knowledge and perception of the effects of alcohol on health. Methods: 345 full-time undergraduate students from The University of Hong Kong were invited to complete a questionnaire to assess their alcohol consumption (Alcohol Use Disorders Identification Test, CAGE questionnaire), depressive symptoms (Patient Health Questionnaire-9), and stress-coping methods (Coping Orientation to Problems Experienced Inventory), as well as knowledge and perception of alcohol consumption on health. Multiple linear regression was used to determine significant variables associated with depressive symptoms. Multinominal logistic regression was used to determine the effect of such variables on depressive symptom caseness and AUDIT drinking risk groups. Results: 43.2% of respondents were moderate-to high-risk drinkers, but only 23.2% were self-reported as moderate-to high-level drinkers. 57.9% of respondents had mild to severe depressive symptoms. Probable depression was more likely to occur in female students, those with higher general stress, those who do not use social support for stress-coping, and those who smoke. High-risk drinkers were more likely to occur in older students, smokers, those with higher household income, and those with higher general stress levels. Students with higher levels of depressive symptoms and higher risk of alcohol consumption were more likely to use avoidance for stress-coping. 89.5% of students considered alcohol consumption moderately to very harmful to health, but students demonstrated only moderate knowledge levels of alcohol consumption on health. Conclusion: Alcohol consumption and depressive symptoms are prevalent among university students in Hong Kong. The use of avoidance for stress-coping is common in those with higher levels of depressive symptoms and higher-risk drinkers. Students tend to avoid seeking help for depressive symptoms and potentially take up drinking as a coping strategy. Context-specific approaches should be used when providing counselling services for student wellbeing in university settings. Further education of university students on knowledge and perception of alcohol consumption on health should be provided.

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A longitudinal analysis of the relationships among daytime dysfunction, fatigue, and depression in college students

Abstract: Depression is related to a higher initial level of DD and its faster rate change which in turn, predicted end-semester fatigue, identifying one of the possible pathways through which depression impacts the functioning and health of affected students.

Cited by 24 publications

References 46 publications

The prevalence of fatigue among Chinese nursing students in post-COVID-19 era

The prevalence of fatigue among Chinese nursing students in post-COVID-19 era

Sleep Pattern Changes in Nursing Students during the COVID-19 Lockdown

Alcohol Consumption and Depression Among University Students and Their Perception of Alcohol Use

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