DEPRESSIVE SYMPTOMS IN RELATION TO ALCOHOL AND TOBACCO USE IN SOUTH AFRICAN UNIVERSITY STUDENTS

2003 ◽  
Vol 92 (3) ◽  
pp. 1097 ◽  
Author(s):  
KARL PELTZER
Keyword(s):  
Depressive Symptoms ◽  
University Students ◽  
South African ◽  
Tobacco Use

Depressive Symptoms in Relation to Alcohol and Tobacco Use in South African University Students

2003 ◽  
Vol 92 (3_suppl) ◽  
pp. 1097-1098 ◽  
Author(s):  
Karl Peltzer
Keyword(s):  
Regression Analysis ◽  
Depressive Symptoms ◽  
Alcohol Use ◽  
University Students ◽  
South African ◽  
Analysis Of Variance ◽  
Tobacco Use ◽  
Drinking Status ◽  
Highly Correlated

A questionnaire was administered to 793 randomly chosen Black university students whose ages ranged from 18 to 25 years. Analysis of variance suggested the association between depressive symptoms and alcohol use but not with tobacco use; however, alcohol and tobacco use were highly correlated. Regression analysis identified drinking status as predictor for depressive symptoms.

Factors affecting depressive symptoms among university students in Bangladesh

2020 ◽  
Vol 61 (3) ◽  
Author(s):  
Ashis Talukder ◽  
Muhammad M. Hasan ◽  
Sheikh M. Shariful Islam
Keyword(s):  
Depressive Symptoms ◽  
University Students ◽  
Factors Affecting

Teaching South African Sign Language as a second language to university students: an integrated pedagogy

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Marga Stander ◽  
Annemarie Le Roux
Keyword(s):  
Second Language ◽  
University Students ◽  
Sign Language ◽  
South African ◽  
Teaching And Learning ◽  
Integrated Approach ◽  
Specific Method ◽  
Language Curriculum ◽  
Popular Language ◽  
Output Hypothesis

Abstract South African Sign Language (SASL) has become an increasingly popular language that hearing university students want to learn as a second language. This requires more qualified SASL instructors and new curricula at South African universities. This paper considers ways in which challenges associated with the teaching and learning of SASL can be overcome. Krashen’s Comprehension Input Hypothesis and Swain’s Output Hypothesis form the theoretical framework as reference to our own independent experience, praxis, and reflection. This study considered different teaching methods and pedagogies and found the post-method approach suggested by Kumaravadivelu (2003) a viable method for teaching SASL as a second language. This method aligns with the method we had independently identified as the most empowering for teachers to create their own strategies focused on their intuition, experiences and pedagogy. Therefore, we do not favour one specific method above another, but rather adopt an integrated approach. We make a few suggestions regarding sign language curriculum content and further research in sign language as an L2, which need urgent attention.

scholarly journals Depressive Symptoms in Swiss University Students during the COVID-19 Pandemic and Their Correlates

2021 ◽  
Vol 18 (4) ◽  
pp. 1458 ◽  
Author(s):  
Thomas Volken ◽  
Annina Zysset ◽  
Simone Amendola ◽  
Anthony Klein Swormink ◽  
Marion Huber ◽  
...  
Keyword(s):  
Mental Health ◽  
Depressive Symptoms ◽  
University Students ◽  
Mental Health Problems ◽  
Binary Logistic Regression ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
National Population ◽  
Student Cohorts ◽  
Containment Measures

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.

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

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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