A Value Model for Depressive Symptoms and Hopelessness Among University Students in Turkey

Background: COVID-19 containment measures and the uncertainties associated with the pandemic may have contributed to changes in mental health risks and mental health problems in university students. Due to the high burden of the disease, depression is of particular concern. However, knowledge about the prevalence of depressive symptoms in Swiss university students during the pandemic is limited. We therefore assessed the prevalence of depressive symptoms and their change during the COVID-19 pandemic in a large sample of Swiss university students. Methods: We assessed depressive symptoms in two cross-sectional cohorts of university students (n = 3571) in spring and autumn 2020 during the COVID-19 pandemic and compared them with a matched sample of the Swiss national population (n = 2328). Binary logistic regression models estimated prevalence with corresponding 95% confidence intervals (95% CI). Results: Adjusted prevalence of depressive symptoms in female (30.8% (95% CI: 28.6–33.0)) and male students (24.8% (95% CI: 21.7–28.1)) was substantially higher than in the matching female (10.9% (95% CI: 8.9–13.2)) and male (8.5% (6.6–11.0)) pre-pandemic national population. Depressive symptoms in the two consecutive student cohorts did not significantly differ. Conclusions: More than a quarter of Swiss university students reported depressive symptoms during the COVID-19 pandemic, which was substantially higher as compared to the matched general population. Universities should introduce measures to support students in such times of crisis and gain an understanding of the factors impacting mental health positively or negatively and related to university structures and procedures.

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Factors associated with depressive episode among first year University students in Serbia

European Journal of Public Health ◽

10.1093/eurpub/ckaa166.1037 ◽

2020 ◽

Vol 30 (Supplement_5) ◽

Author(s):

S Čanković ◽

D Čanković ◽

I Radić ◽

D Rakić ◽

S Ukropina ◽

...

Keyword(s):

Mental Health ◽

Logistic Regression ◽

Depressive Symptoms ◽

University Students ◽

Depressive Episode ◽

Social Health ◽

Support Network ◽

First Year ◽

Behavioral Factors ◽

First Year University

Abstract Background Some findings indicate that university students are at higher risk of depression despite being a socially advantaged population, showing that 15 to 25% of them develop some type of mental disorder during graduation, and depression is one of the most prevalent. The aim of this study was to investigate the prevalence of depressive symptoms and its association with gender, material status, social health, and behavioral factors among university students. Methods The research represents a cross-sectional study conducted at the University of Novi Sad, Serbia. The research involved 455 first-year students. The average age of participants was 19.3 years (72.1% girls and 27.9% boys). Patient Health Questionnaire (PHQ-9) was used to measure depressive symptoms (cut point for depressive episode ≥10). Additional questions were focused on self-assessed material status, social health, and behavioral factors (smoking and alcohol use). The binary logistic regression model was used to estimate the association between depression and observed independent variables. Results The prevalence of moderate to severe depressive episode among students was 18.0%, with no gender differences. Out of the total, 11.0% of students had suicidal thoughts or thoughts of hurting themselves. Multivariable logistic regression showed that self-assessed poor material status (OR = 2.04; 95%CI: 1.06-3.89), self-assessed poor social health (OR = 8.9; 95%CI:4.87-16.42) and smoking (OR = 2.18; 95%CI: 1.09-4.39) were significant predictors of depression among first-year university students. Conclusions High prevalence of depressive episode among university students call for the action for the promotion of mental health, particularly among those of lower socioeconomic status, and points out the importance of social health and social network in the prevention of mental disorders. Key messages Students on the first year of University should be screened for depressive symptoms. It is important to educate students on how to create a strong support network and to implement intervention programs for improving mental health through fostering healthy lifestyles change.

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Patterns of Intimate Partner Violence victimization among Australia and New Zealand female university students: An initial examination of child maltreatment and self-reported depressive symptoms across profiles

Australian & New Zealand Journal of Criminology ◽

10.1177/0004865816666615 ◽

2016 ◽

Vol 50 (4) ◽

pp. 582-601 ◽

Cited By ~ 3

Author(s):

Jesse Cale ◽

Stacy Tzoumakis ◽

Benoit Leclerc ◽

Jan Breckenridge

Keyword(s):

Intimate Partner Violence ◽

Depressive Symptoms ◽

New Zealand ◽

Child Maltreatment ◽

University Students ◽

Partner Violence ◽

Latent Class ◽

Intimate Partner ◽

Violence Victimization ◽

Intimate Partner Violence Victimization

The aim of this study was to examine the relationship between child abuse, depression, and patterns of Intimate Partner Violence victimization among female university students in Australia and New Zealand. Data were based on the Australia/New Zealand portion of the International Dating Violence Study (2001–2005) (n = 293). Using Latent Class Analysis, Low-, Moderate-, and High-level Intimate Partner Violence profiles were identified that differed according to the variety, degree, and severity of Intimate Partner Violence. Furthermore, the combination of child maltreatment and self-reported depressive symptoms differed across profiles. The results highlighted differential pathways from child maltreatment to specific Intimate Partner Violence victimization patterns. These findings provide further evidence for the importance of early intervention strategies to prevent Intimate Partner Violence, and specifically for children who experience abuse and neglect to help prevent subsequent victimization experiences in intimate relationship contexts.

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Framing the Values of Vernacular Architecture for a Value-Based Conservation: A Conceptual Framework

Sustainability ◽

10.3390/su13094974 ◽

2021 ◽

Vol 13 (9) ◽

pp. 4974

Author(s):

Obafemi A. P. Olukoya

Keyword(s):

Vernacular Architecture ◽

Conservation Strategy ◽

Participatory Process ◽

Value Assessment ◽

A Value ◽

Wide Range ◽

Flexible Framework ◽

Value Model ◽

Contextual Values ◽

Range Of Values

While a growing number of researchers have provided series of tough critiques of the typology-led heritage value assessment over the recent years, the impacts have been constrained by the continued obsession with expanding the list of the predetermined value typologies rather than escaping its limitations. While these sustained debates have provided important insights, this article argues that operationalizing these predetermined ‘one-size-fits-all’ value typologies is symptomatic of a number of shortcomings, especially in the context of capturing the pluralities of values in contextualized heritage such as vernacular architecture. It also often undermines inclusivity and participation in the valuing processes. However, rather than simply rejecting the values-based paradigm, this article proposes a conceptual value assessment framework that is informed by the theorization of vernacular architecture as a contextualized heritage. The proposed Vernacular Value Model (VVM) puts forward the ‘when(s)’ and ‘how(s)’ of amalgamating both technical and normative processes to capture the range of contextual values present in built vernacular heritage. To this end, this article posits that by drawing on such a proposed flexible framework, the conservation strategy for built vernacular heritage can be propagated as an inclusive and participatory process which captures the wide range of values for a more sustainable practices for conservation.

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Perceptions of Study Conditions and Depressive Symptoms During the COVID-19 Pandemic Among University Students in Germany: Results of the International COVID-19 Student Well-Being Study

Frontiers in Public Health ◽

10.3389/fpubh.2021.674665 ◽

2021 ◽

Vol 9 ◽

Author(s):

Paula Mayara Matos Fialho ◽

Franca Spatafora ◽

Lisa Kühne ◽

Heide Busse ◽

Stefanie M. Helmer ◽

...

Keyword(s):

Depressive Symptoms ◽

University Students ◽

Online Survey ◽

Positive Association ◽

Well Being ◽

Cross Sectional ◽

German Student ◽

The University ◽

The Impact ◽

Mental Well Being

Background: Results of previous studies examining the impact of the SARS-CoV-1 epidemic in 2003 on university students' mental well-being indicated severe mental health consequences. It is unclear how the current COVID-19 pandemic and the changes in study conditions due to federal regulations affected mental well-being in the German student population. We examined university students' perceptions of study conditions during the COVID-19 pandemic and investigated associations between study conditions and depressive symptoms.Methods: A cross-sectional online survey was conducted in Germany in May 2020 at four universities (N = 5,021, 69% female, mean age: 24 years, SD: 5.1). Perceived study conditions, as well as sociodemographic information, were assessed with self-generated items and the CES-D 8 scale was used to determine depressive symptoms. Associations between perceived study conditions (academic stress and academic satisfaction), in general, and confidence to complete the semester, in particular, and depressive symptoms were analyzed using generalized linear regressions.Results: Fifty-four percent of survey participants felt that the university workload had significantly increased since the COVID-19 pandemic; 48% were worried that they would not be able to successfully complete the academic year; 47% agreed that the change in teaching methods caused significant stress. Regarding depressive symptoms, the mean score of the CES-D 8 scale was 9.25. Further, a positive association between perceived study conditions and depressive symptoms was found (p < 0.001), indicating that better study conditions were associated with fewer depressive symptoms. Results of the generalized linear regression suggest that better student mental well-being was related to higher confidence in completing the semester.Conclusions: This study provides first insights into perceived study conditions and associations with depressive symptoms among students during the COVID-19 pandemic in Germany. Findings underline the need for universities to provide intervention strategies targeting students' mental well-being during the course of the pandemic.

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An analysis of dysmenorrhoea and depressive symptoms in university students: A case-control study

International Journal of Nursing Practice ◽

10.1111/ijn.12678 ◽

2018 ◽

Vol 24 (5) ◽

pp. e12678 ◽

Cited By ~ 1

Author(s):

Tuba Uçar ◽

Sermin Timur Taşhan ◽

Yeşim Aksoy Derya ◽

Gülçin Nacar

Keyword(s):

Depressive Symptoms ◽

University Students ◽

Case Control Study ◽

Case Control ◽

Control Study

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Decision Support for Optimal Use of Joint Training Funds in the Canadian Armed Forces

Research Anthology on Military and Defense Applications, Utilization, Education, and Ethics ◽

10.4018/978-1-7998-9029-4.ch004 ◽

2021 ◽

pp. 49-70

Author(s):

Matthew R. MacLeod ◽

Mark Rempel ◽

Michael L. Roi

Keyword(s):

Decision Support ◽

Optimization Model ◽

Research Question ◽

Armed Forces ◽

Decision Makers ◽

Canadian Armed Forces ◽

A Value ◽

Joint Training ◽

Training Resources ◽

Value Model

Joint exercises are vital to the Canadian Armed Forces (CAF) meeting its readiness targets. However, CAF resources are often insufficient to participate in all candidate joint exercises. Many organizations face resource challenges. In the context of preparing the CAF for its mandated missions and operational tasks, this chapter addresses the following research question: How can the CAF get the most value out of its joint training resources? Using strategic analysis and operations research, the authors designed a value model to gauge a joint exercise's value and an optimization model to support decision makers when selecting a joint exercise portfolio. This chapter describes these models, presents an example of their application, and discusses future improvements.

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