University students' information behavior when experiencing mental health symptoms

Author(s):  
Chi Young Oh ◽  
Rachel Kornfield ◽  
Emily G. Lattie ◽  
David C. Mohr ◽  
Madhu Reddy
2021 ◽  
Author(s):  
Nicole Tang ◽  
Katharine McEnery ◽  
Laura Chandler ◽  
Carla Toro ◽  
Lukasz Walasek ◽  
...  

BackgroundEarly COVID-19 research suggests a detrimental impact of the initial lockdown on youngpeople’s mental health, but it is unclear whether the impact would persist.AimsWe investigated mental health symptoms amongst university students after the firstlockdown in the UK and changes in symptoms over 6 months. We examined risk factors forthese symptoms and whether they were shared by young people not in higher education.Method895 university students and 547 young people not in higher education completed an onlinesurvey at T1 (July-September 2020). A subset of 203 university students also completeda 6-month follow-up survey at T2 (January-March 2021). Mental health symptomsmeasured were anxiety, depression, insomnia, substance misuse, and suicide risk.ResultsAt T1, nearly 40% of the participants reported moderate to severe symptoms of anxiety anddepression and risk of substance misuse; a quarter reported insomnia and clinicallysignificant suicidal risk. A reduction in anxiety, depression and insomnia was observed inparticipants reassessed at T2, but not in substance misuse and suicidality.Cross-sectionally, greater symptoms across measures were consistently associated withgender (female or other), sleep irregularity, and a worse-off financial status. Longitudinally,the most consistent risk factors for T2 symptoms were having previously diagnosed mentalhealth problems and having difficulty sleeping since the first lockdown.ConclusionsMental health symptoms were prevalent in a large proportion of young people after the firstlockdown. Risk factors identified may help characterise high-risk groups for enhancedsupport and inform interventions in both university and non-university settings.


2017 ◽  
Vol 120 (4) ◽  
pp. 650-669 ◽  
Author(s):  
Duygu Hiçdurmaz ◽  
Figen İnci ◽  
Sevilay Karahan

University youth is a risk group regarding mental health, and many mental health problems are frequent in this group. Sociodemographic factors such as level of income and familial factors such as relationship with father are reported to be associated with mental health symptoms, automatic thoughts, and self-esteem. Also, there are interrelations between mental health problems, automatic thoughts, and self-esteem. The extent of predictive effect of each of these variables on automatic thoughts, self-esteem, and mental health symptoms is not known. We aimed to determine the predictive factors of mental health symptoms, automatic thoughts, and self-esteem in university students. Participants were 530 students enrolled at a university in Turkey, during 2014–2015 academic year. Data were collected using the student information form, the Brief Symptom Inventory, the Automatic Thoughts Questionnaire, and the Rosenberg Self-Esteem Scale. Mental health symptoms, self-esteem, perception of the relationship with the father, and level of income as a student significantly predicted automatic thoughts. Automatic thoughts, mental health symptoms, participation in family decisions, and age had significant predictive effects on self-esteem. Finally, automatic thoughts, self-esteem, age, and perception of the relationship with the father had significant predictive effects on mental health symptoms. The predictive factors revealed in our study provide important information to practitioners and researchers by showing the elements that need to be screened for mental health of university students and issues that need to be included in counseling activities.


2020 ◽  
Vol 21 (4) ◽  
pp. 1533-43
Author(s):  
Sarah Maria Najjuka ◽  
Gaudencia Checkwech ◽  
Ronald Olum ◽  
Scholastic Ashaba ◽  
Mark Mohan Kaggwa

Background: COVID19 pandemic forced most countries to lockdown, leading to the prolonged closure of many learning institutions. This dramatic shift led to increase of mental illness symptoms among university students. Objective: To determine the prevalence and factors associated with symptoms of depression, anxiety, and stress among Uganda’s university students during the COVID-19 lockdown. Methods: We conducted a one-month online survey using the Depression Anxiety and Stress Scale (DASS-21). Results: Participants n=321 were enrolled with mean age, 24.8(SD=5.1) years and 198(61.7%) were males. The prevalence of mental health symptoms among participants was 80.7%, 98.4%, and 77.9% for depression, high levels of anxiety,and stress, respectively. Statistically significant association between mental health symptoms on multi-logistic regression was found with Males (depression=2.97[1.61–5.48] and stress=1.90[1.07–3.35]), engagement in leisure activity (depression= 1.87[1.01–3.49] and stress=1.98[1.10–3.56]), and being finalist (stress=0.55[0.31– 0.97]). Use of addictive substances seem to potentially alleviate symptoms of depression, anxiety and stress in the short term.  Conclusions: The findings of this study suggest a high prevalence of symptoms of depression, anxiety and stress among university students during the COVID-19 lockdown. Students’ mental health should be monitored by all stakeholders, especially as the pandemic progresses. Keywords: COVID-19 lockdown; University students; Mental health.


2020 ◽  
Vol 52 ◽  
Author(s):  
Catalina Álamo ◽  
◽  
Zayra Antúnez ◽  
Tomas Baader ◽  
Jasmine Kendall ◽  
...  

2021 ◽  
Author(s):  
Ying Sun ◽  
Yin Wu ◽  
Olivia Bonardi ◽  
Ankur Krishnan ◽  
Chen He ◽  
...  

Objectives: The rapid pace, high volume, and limited quality of mental health evidence being generated during COVID-19 poses a barrier to effective decision-making. The objective of the present report is to compare mental health outcomes assessed during COVID-19 to outcomes prior to COVID-19 in the general population and other population groups. Design: Living systematic review. Data Sources: MEDLINE (Ovid), PsycINFO (Ovid), CINAHL (EBSCO), EMBASE (Ovid), Web of Science Core Collection: Citation Indexes, China National Knowledge Infrastructure, Wanfang, medRxiv (preprints), and Open Science Framework Preprints (preprint server aggregator). The initial search was conducted on April 13, 2020 with ongoing weekly updates. Eligibility criteria for selecting studies: For this report, we included studies that compared general mental health, anxiety symptoms, or depression symptoms, assessed January 1, 2020 or later, to the same outcomes collected between January 1, 2018 and December 31, 2019. We required ≥ 90% of participants pre-COVID-19 and during COVID-19 to be the same or the use of statistical methods to address missing data. For population groups with continuous outcomes for at least three studies in an outcome domain, we conducted restricted maximum-likelihood random-effects meta-analyses. Results: As of March 22, 2021, we had identified 36 unique eligible studies with data from 33 cohorts. All reported COVID-19 outcomes between March and June 2020, and 3 studies also reported outcomes between September and November 2020. Estimates of changes in general mental health were close to zero in the general population (standardized mean difference [SMD] = 0.02, 95% CI -0.11 to 0.16, I2 = 94.6%; 4 studies, N = 19,707) and among older adults (SMD = 0.02, 95% CI -0.11 to 0.16, I2 = 90.4%; 4 studies, N = 5,520) and university students (SMD = -0.01, 95% CI -0.33 to 0.30, I2 = 92.0%; 3 studies, N = 3,372). Changes in anxiety symptoms were close to zero and not statistically significant in university students (SMD = 0.00, 95% CI -0.35 to 0.36, I2 = 95.4%; 5 studies, N = 1,537); women or females (SMD = 0.02, 95% CI -0.35 to 0.39, I2 = 92.3%; 3 studies, N = 2,778); and men or males (SMD = 0.07, 95% CI -0.01 to 0.15; I2 = 0.01%; 3 studies, N = 1,250); anxiety symptoms increased, however, among people with pre-existing medical conditions (SMD = 0.27, 95% CI 0.01 to 0.54, I2 = 91.0%; 3 studies, N = 2,053). Changes in depression symptoms were close to zero or small and not statistically significant among university students (SMD = 0.19, 95% CI -0.08 to 0.45, I2 = 91.8%; 5 studies, N = 1,537); people with pre-existing medical conditions (SMD = 0.01, 95% CI -0.15 to 0.17, I2 = 14.9%; 3 studies, N = 2,006); women or females (SMD = 0.21, 95% CI -0.14 to 0.55, I2 = 91.2%; 3 studies, N = 2,843); and men or males (SMD = 0.00, 95% CI -0.21 to 0.22; I2 = 92.3%; 4 studies, N = 3,661). In 3 studies with data from both March to June 2020 and September to November 2020, symptoms were unchanged from pre-COVID-19 at both time points or there were increases at the first assessment that had largely dissipated by the second assessment. Conclusions: Evidence does not suggest a widespread negative effect on mental health symptoms in COVID-19, although it is possible that gaps in data have not allowed identification of changes in some vulnerable groups. Continued updating is needed as evidence accrues.


2013 ◽  
Author(s):  
Bryann Debeer ◽  
Sandra B. Morissette ◽  
Nathan A. Kimbrel ◽  
Eric C. Meyer ◽  
Suzy B. Gulliver

2020 ◽  
Vol 26 (4) ◽  
pp. 370-387 ◽  
Author(s):  
Shannon L. Wagner ◽  
Nicole White ◽  
Cheryl Regehr ◽  
Marc White ◽  
Lynn E. Alden ◽  
...  

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