Would a “Gap Year” Help Reduce Mental Illness Among College Students?

2021 ◽  
Vol 57 (3) ◽  
pp. 110-114
Author(s):  
William Beaver
Keyword(s):  
College Students ◽  
Mental Illness ◽  
Gap Year

scholarly journals Influence of Demographic Variables on Suicidal Tendency among Arts and Science College Students

2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Anusuya ◽  
Dr. M. Senthil ◽  
Dr. S. Barani Daran
Keyword(s):  
College Students ◽  
Mental Illness ◽  
Family Income ◽  
Demographic Variables ◽  
Family Type ◽  
Age Group ◽  
Monthly Income ◽  
Suicidal Tendency ◽  
Science College ◽  
History Of

Introduction: Suicidal tendency is common among college students as a result of various factors like academic pressure, family problems, love failure, etc. It is presumed that there would be influence of demographic variables (i.e. age, gender, department, family type, family income and history of previous mental illness) on suicidal tendency among college students. Aim: The aim of this research study was to assess the influence of selected demographic variables (i.e. age, gender, department, family type, family income and history of previous mental illness) on suicide tendency among arts and science college students. Materials and Methods: The sample comprised of 84 respondents of arts and science students and Simple random sampling by lottery method was used. The following questionnaire was used to collect the data 1) Demographic variables: It includes respondents‟ age, gender, department, class, family income, type of family, residence area and history of mentally illness of the respondent. 2) Suicidal tendency scale. Results: 33.3% of the respondents were up to 18 years of age, 32.1% of the respondents were in the age group of 19 years, 20% of the respondents were in the age group of 20 years of age, 10.7% of the respondents were above 21 years of age, 2.4% of the respondents were in the age group of 22 years of age and 1.2% of the respondents were above 17 years of age. 56% of the respondents were males and 44% of the respondents were females. 50% of the respondents belong to sociology department and 50% of the respondents belong to psychology department. 72.2% of the respondents belong to nuclear family and 23.8% of the respondents belong to joint family. 53.3% of the respondents have monthly income above Rs. 5000-10000, 31% of the respondents have monthly income above Rs. below 5000 and 15.5% of the respondents have monthly income up to Rs. Above 10000.  97.6% of the respondents had no previous mental illness in the family and only 2.4 percent of the respondents had previous mental illness in the family. Conclusion: This research study found that there was a significant impact of age and family income with respect to suicidal tendency among the respondents.

scholarly journals Knowledge and attitude towards mental illness among health and non-health university students in Riyadh

2020 ◽  
Vol 8 (10) ◽  
pp. 3497
Author(s):  
Samira M. Mahboub ◽  
Rahaf A. Aleyadhi ◽  
Reema I. Aldrees ◽  
Shahad S. Almuhanna
Keyword(s):  
College Students ◽  
Mental Illness ◽  
University Students ◽  
Positive Attitude ◽  
Statistical Tests ◽  
Mental Illnesses ◽  
Good Knowledge ◽  
Positive Health ◽  
Cross Sectional ◽  
Knowledge And Attitude

Background: Mental illness can affect anyone regardless of age, gender, and residence. Studying the attitude and knowledge about mental illnesses among university students is important, because they are the future decision makers dealing with such problems. The aim of this study was to assess level of knowledge and attitude towards mental illnesses among health and non-health university students in Riyadh.Methods: This study was a cross-sectional study on students of the governmental universities in Riyadh with both health and non-health speciality. The total sample size was 587 students. The questionnaire was designed electronically, and the link was distributed through social media. It included socio-demographic questions, 17 questions to assess knowledge and 22 questions to assess the attitudes. The statistical tests used were chi square, independent sample t-test, spearman’s correlation and multiple linear regression tests.Results: More than half of the participants had a positive attitude toward mental illness (52%). Only 13.46% of university students had good knowledge about mental illness. Significant higher level of good knowledge and positive attitude were reported among health college students compared to non-health (24.7% versus 7.9% for good knowledge and 60.8% versus 48.3 for positive attitude respectively). Attitude towards mental illness can be successfully predicted by using the knowledge score about mental illness and the type of college.Conclusion: Low percentage of university students had good knowledge about mental illness and their attitude towards mental illness was generally positive. Health college students had better attitude and knowledge about mental illness than non-health.

Mental illness stigma and disclosure in college students

2015 ◽  
Vol 25 (3) ◽  
pp. 224-230 ◽  
Author(s):  
Patrick W. Corrigan ◽  
Kristin A. Kosyluk ◽  
Fred Markowitz ◽  
Robyn Lewis Brown ◽  
Bridget Conlon ◽  
...  
Keyword(s):  
College Students ◽  
Mental Illness ◽  
Mental Illness Stigma

Examining the Attributions of Discrimination toward People with Mental Illness among Chinese College Students

2016 ◽  
Vol 22 (1) ◽  
pp. 40-50 ◽  
Author(s):  
Lisa Xi Zheng ◽  
John P. Keegan ◽  
David Rosenthal ◽  
William Talley ◽  
Celeste A. Hunter
Keyword(s):  
College Students ◽  
Mental Illness ◽  
Cultural Context ◽  
Illicit Drugs ◽  
Hierarchical Regression ◽  
Chinese College Students ◽  
People With Mental Illness ◽  
Attribution Questionnaire ◽  
Culturally Influenced ◽  
The Relationship

The purpose of this study was to test the usefulness of the attribution model (Corrigan, Markowitz, Watson, Rowan & Kubiak, 2003; Weiner, 1995) in a Chinese cultural context to explain Chinese college students’ perceptions of discrimination toward people with mental illness. A total of 293 college students (male = 142; female = 151; age from 18 to 22) completed an Attribution Questionnaire (AQ) after reading vignettes, consisting of a male who either used illicit drugs or had a traumatic brain injury. Data were analysed using a hierarchical regression to determine the amount of variance accounted for in discriminatory behaviours by the attribution model. The results showed, when controlling for all other factors, that controllability and the three emotions (pity, anger, and fear) were found to be significant predictors of discrimination. The relationship between controllability, responsibility, and discrimination was not consistent with the attribution model since responsibility did not mediate the controllability of cause. These results provide support for the idea that disability attributions are culturally influenced.

scholarly journals Photovoice as an intervention for college students living with mental illness: A pilot study

2020 ◽  
Vol 10 (4) ◽  
pp. 237-243
Author(s):  
Amy Werremeyer ◽  
Elizabeth Skoy ◽  
William Burns ◽  
Amber Bach-Gorman
Keyword(s):  
College Students ◽  
Mental Illness ◽  
Medication Adherence ◽  
Pilot Study ◽  
Lived Experience ◽  
Beck Depression Inventory ◽  
Group Intervention ◽  
Rating Scale ◽  
Participatory Action ◽  
P 16

Abstract Introduction Photovoice is a participatory-action research method in which participants capture and collectively reflect upon photos of their lived experience. Photovoice participation may be beneficial for individuals living with mental illness, but its effects have not been quantitatively measured. Methods In this pilot study, 20 college students living with a mental illness and prescribed at least 1 medication were randomized to a Photovoice group intervention or usual group counseling, which was an active control. Participants completed the BURNS Anxiety Inventory, Beck Depression Inventory, and Medication Adherence Rating Scale at baseline and 8 weeks. Between-groups comparisons were conducted. Results Photovoice participants experienced a significantly greater reduction in the BURNS Anxiety Inventory (–8.5 vs –2.6; P = .049) compared to control participants. No difference was seen in change in the Beck Depression Inventory (6.7 in the Photovoice group vs 0.2 among controls; P = .26). Mean medication adherence scores worsened in both groups from baseline with no difference between the groups (1 vs 0.86; P = .16). Discussion Photovoice may be a resource-efficient and effective intervention to reduce anxiety among college students with mental illness; however, it may be associated with poorer medication adherence. Further study is needed to evaluate these findings.

Depression and Derailment: A Cyclical Model of Mental Illness and Perceived Identity Change

2019 ◽  
Vol 7 (4) ◽  
pp. 735-753 ◽  
Author(s):  
Kaylin Ratner ◽  
Jane Mendle ◽  
Anthony L. Burrow ◽  
Felix Thoemmes
Keyword(s):  
College Students ◽  
Mental Illness ◽  
Depressive Symptoms ◽  
Longitudinal Study ◽  
Life Course ◽  
Identity Change ◽  
Academic Year ◽  
Over Time

We investigated reciprocity between depressive symptoms and a novel construct called derailment, which indexes perceived changes in identity and self-direction. People who are “derailed” have trouble reconciling how their life course has unfolded over time and, as a result, do not easily identify with their former self. College students ( N = 939) participated in a preregistered, four-wave longitudinal study over one academic year. Depression positively predicted subsequent derailment across all components of the model, suggesting that perceived disruptions in life course may occur in response to elevated depressive symptoms. Contrary to predictions, derailment negatively predicted later depression across most waves, indicating that felt changes in identity and self-direction could buffer against downstream mood deteriorations. Although our findings did not support reciprocity, prospective evidence that perceived instability of identity and self-direction relate to an increase in depressive symptoms positions derailment as a new and potentially important facet of the depressive phenotype.

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