Bypassing the waitlist: examining barriers and facilitators of help-line utilization among college students with depression symptoms

2020 ◽  
pp. 1-7
Author(s):  
Jennifer A. Lueck ◽  
Madison Poe
Keyword(s):  
College Students ◽  
Barriers And Facilitators ◽  
Depression Symptoms ◽  
Help Line

scholarly journals A machine learning approach for predicting suicidal thoughts and behaviours among college students

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Melissa Macalli ◽  
Marie Navarro ◽  
Massimiliano Orri ◽  
Marie Tournier ◽  
Rodolphe Thiébaut ◽  
...  
Keyword(s):  
Mental Health ◽  
College Students ◽  
Positive Predictive Value ◽  
Predictive Value ◽  
Screening Tools ◽  
Receiver Operating Curve ◽  
Depression Symptoms ◽  
Suicidal Thoughts ◽  
One Year

AbstractSuicidal thoughts and behaviours are prevalent among college students. Yet little is known about screening tools to identify students at higher risk. We aimed to develop a risk algorithm to identify the main predictors of suicidal thoughts and behaviours among college students within one-year of baseline assessment. We used data collected in 2013–2019 from the French i-Share cohort, a longitudinal population-based study including 5066 volunteer students. To predict suicidal thoughts and behaviours at follow-up, we used random forests models with 70 potential predictors measured at baseline, including sociodemographic and familial characteristics, mental health and substance use. Model performance was measured using the area under the receiver operating curve (AUC), sensitivity, and positive predictive value. At follow-up, 17.4% of girls and 16.8% of boys reported suicidal thoughts and behaviours. The models achieved good predictive performance: AUC, 0.8; sensitivity, 79% for girls, 81% for boys; and positive predictive value, 40% for girls and 36% for boys. Among the 70 potential predictors, four showed the highest predictive power: 12-month suicidal thoughts, trait anxiety, depression symptoms, and self-esteem. We identified a parsimonious set of mental health indicators that accurately predicted one-year suicidal thoughts and behaviours in a community sample of college students.

scholarly journals Longitudinal Effects of Motivation and Physical Activity on Depressive Symptoms among College Students

2021 ◽  
Vol 18 (10) ◽  
pp. 5121
Author(s):  
Jie Zhang ◽  
Xiangli Gu ◽  
Xiaoxia Zhang ◽  
Jihye Lee ◽  
Mei Chang ◽  
...  
Keyword(s):  
College Students ◽  
Depressive Symptoms ◽  
Leisure Time ◽  
Perceived Competence ◽  
Repeated Measure ◽  
Depression Symptoms ◽  
Task Values ◽  
Competence Beliefs ◽  
Over Time ◽  
And Task

High prevalence of depression and physical inactivity have been consistently reported among college students, especially in females. Guided by Lubans et al.’s conceptual framework, the primary purpose of this study was to examine the longitudinal relationships of PA motivation with leisure-time PA and depressive symptoms among college students over one academic year. Employing a longitudinal repeated measure design, 1004 college students in China were recruited in this study (28.3% males and 71.7% females; M age = 18.93 ± 0.64 years; 18–22 years old). Participants completed previously validated questionnaires assessing PA motivation (perceived competence beliefs and task values toward PA), leisure-time PA participation, and depressive symptoms in Fall 2016 (Time 1) and Fall 2017 (Time 2). Both male and female college students showed a significant increase of depressive symptoms from freshmen to sophomores (p < 0.05). The regression models indicated that perceived competence beliefs and task values toward PA were significant predictors of depressive symptoms at Time 2 (p < 0.05) after controlling for Time 1 measures in males and females, respectively. Physically active college students consistently demonstrated higher PA motivation, and they displayed fewer depressive symptoms compared to inactive peers over time (p < 0.05). The findings suggest sex-specified motivational intervention strategies and PA promotion programs/opportunities are needed to reduce depression symptoms among college students over time.

The Impact of Virtual Physical Activity Interventions on Depression and Anxiety among College Students: Randomized Controlled Trial (Preprint)

2021 ◽  
Author(s):  
Andy Murray ◽  
Michele Marenus ◽  
Ana Cahuas ◽  
Kathryn Friedman ◽  
Haley Ottensoser ◽  
...  
Keyword(s):  
College Students ◽  
Resistance Exercise ◽  
Interaction Effect ◽  
Repeated Measures ◽  
Exercise Intervention ◽  
Controlled Trial ◽  
Depression Symptoms ◽  
Depression And Anxiety ◽  
Main Effect ◽  
The Impact

BACKGROUND Depression and anxiety are growing issues for college students, with both aerobic-resistance training and mindfulness-yoga exercises known to be effective in reducing symptoms and severity. However, no known research is available comparing these two depression and anxiety interventions simultaneously and in a virtual environment. OBJECTIVE This study aimed to determine the effects of a virtual aerobic-resistance exercise intervention (WeActive) and a virtual yoga-mindfulness mindfulness exercise intervention (WeMindful) on depression and anxiety symptoms in college students METHODS The participants were 78 college students who anonymously completed a Qualtrics survey including the Generalized Anxiety Disorder Scale (GAD-7) and the Major Depression Inventory (MDI) at baseline and the post-test. Participants were randomly assigned to either the WeActive or WeMindful group and underwent two 30-minute virtual aerobic-resistance exercise lessons or yoga-mindfulness lessons per week for eight weeks. RESULTS The results of ANCOVA with repeated measures indicated that, while not statistically significant, both groups showed a notable decrease in anxiety with a marginal significant main effect of time (F = 3.485, p = 0.066, η2 = 0.047) but no significant main effect of group and no significant interaction effect of time with group. The two intervention groups experienced a significant decrease in depression with the main effect of time (F = 3.892, p = 0.052, η2 = 0.052). There was no significant main effect of group or interaction effect of time with group for depression. CONCLUSIONS College students in both WeActive and WeMindful groups experienced a significant decrease in depression symptoms and a decrease, though not significant, in anxiety as well. The study suggests that virtual WeActive and WeMindful interventions are effective approaches to managing US college student depression and anxiety during a pandemic.

scholarly journals Role of Alexithymia, Anxiety, and Depression in Predicting Self-Efficacy in Academic Students

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Mahbobeh Faramarzi ◽  
Soraya Khafri
Keyword(s):  
College Students ◽  
Self Efficacy ◽  
Pearson Correlation ◽  
General Health Questionnaire ◽  
Correlation Coefficients ◽  
Cross Sectional Study ◽  
Anxiety And Depression ◽  
Depression Symptoms ◽  
Cross Sectional

Objective. Little research is available on the predictive factors of self-efficacy in college students. The aim of the present study is to examine the role of alexithymia, anxiety, and depression in predicting self-efficacy in academic students. Design. In a cross-sectional study, a total of 133 students at Babol University of Medical Sciences (Medicine, Dentistry, and Paramedicine) participated in the study between 2014 and 2015. All participants completed the Toronto Alexithymia Scale (TAS-20), College Academic Self-Efficacy Scale (CASES), and 14 items on anxiety and depression derived from the 28 items of the General Health Questionnaire (28-GHQ). Results. Pearson correlation coefficients revealed negative significant relationships between alexithymia and the three subscales with student self-efficacy. There was no significant correlation between anxiety/depression symptoms and student self-efficacy. A backward multiple regression analysis revealed that alexithymia was a negative significant predictor of self-efficacy in academic students (B=-0.512, P<0.001). The prevalence of alexithymia was 21.8% in students. Multiple backward logistic analysis regression revealed that number of passed semesters, gender, mother’s education, father’s education, and doctoral level did not accurately predict alexithymia in college students. Conclusion. As alexithymia is prevalent in college students and affects self-efficacy and academic functioning, we suggest it should be routinely evaluated by mental physicians at universities.

scholarly journals Student Hunger on Campus: Food Insecurity Among College Students and Implications for Academic Institutions

2017 ◽  
Vol 32 (2) ◽  
pp. 349-354 ◽  
Author(s):  
Devon C. Payne-Sturges ◽  
Allison Tjaden ◽  
Kimberly M. Caldeira ◽  
Kathryn B. Vincent ◽  
Amelia M. Arria
Keyword(s):  
Risk Factors ◽  
College Students ◽  
At Risk ◽  
Academic Performance ◽  
Food Insecurity ◽  
Living Arrangements ◽  
Health Concern ◽  
Household Food Security ◽  
P Value ◽  
Depression Symptoms

Purpose: To estimate the prevalence of food insecurity among students at a large mid-Atlantic publicly funded university; examine the association between food insecurity, demographic characteristics, potential financial risk factors, and self-reported physical and mental health and academic performance; and identify possible risk factors for food insecurity. Design: Cross-sectional survey. Setting: Large, public mid-Atlantic university. Participants: Two hundred thirty-seven undergraduate students. Measures: US Department of Agriculture (USDA) 18-item Household Food Security Survey Module (HFSSM) and questions on demographics, student status, economic factors, housing stability, living arrangements, academic performance, and self-rated physical health and depression symptoms. Analysis: Multivariate logistic regression analysis. Results: Among students surveyed, 15% were food insecure; an additional 16% were at risk of food insecurity. Students who were African American, other race/ethnicity, receiving multiple forms of financial aid, or experiencing housing problems were more likely to be food insecure or at the risk of food insecurity (Adjusted Odds Ratio [AOR] = 4.00, 95% confidence interval [CI] = 1.83-8.71, P value < .0001; AOR = 5.26, 95% CI = 1.85-14.98, P value = .002; AOR = 3.43, 95% CI = 1.85-6.37, P value <.001; AOR = 8.00, 95% CI = 3.57-17.93, P value < .0001, respectively). Food secure students were less likely to report depression symptoms than at-risk or food insecure students. Conclusion: Food insecurity among college students is an important public health concern that might have implications for academic performance, retention, and graduation rates. Universities that measure food insecurity among their students will be better positioned to advocate for policy changes at state and federal levels regarding college affordability and student financial assistance.

scholarly journals Associations between screen time, physical activity, and depressive symptoms during the 2019 coronavirus disease (COVID-19) outbreak among Chinese college students

2021 ◽  
Vol 26 (1) ◽  
Author(s):  
Yi Zhang ◽  
Xiaoyan Wu ◽  
Shuman Tao ◽  
Shiyue Li ◽  
Le Ma ◽  
...  
Keyword(s):  
Physical Activity ◽  
College Students ◽  
Depressive Symptoms ◽  
Psychological Health ◽  
Screen Time ◽  
Online Survey ◽  
Interactive Effect ◽  
Depression Symptoms ◽  
Chinese Government ◽  
Chinese College Students

Abstract Background The 2019 novel coronavirus disease (COVID-19) emerges in China, which spreads rapidly and becomes a public health emergency of international concern. Chinese government has promptly taken quarantine measures to block the transmission of the COVID-19, which may cause deleterious consequences on everyone’s behaviors and psychological health. Few studies have examined the associations between behavioral and mental health in different endemic areas. This study aimed to describe screen time (ST), physical activity (PA), and depressive symptoms, as well as their associations among Chinese college students according to different epidemic areas. Methods The study design is cross-sectional using online survey, from 4 to 12 February 2020, 14,789 college students accomplished this online study, participants who did not complete the questionnaire were excluded, and finally this study included 11,787 college students from China. Results The average age of participants was 20.51 ± 1.88 years. 57.1% of the college students were male. In total, 25.9% of college students reported depression symptoms. ST > 4 h/day was positively correlated with depressive symptoms (β = 0.48, 95%CI 0.37–0.59). COVID-19ST > 1 h/day was positively correlated with depressive symptoms (β = 0.54, 95%CI 0.43–0.65), compared with COVID-19ST ≤ 0.5 h/day. Compared with PA ≥ 3 day/week, PA < 3 day/week was positively associated with depression symptoms (β = 0.01, 95%CI 0.008–0.012). Compared with low ST and high PA, there was an interaction association between high ST and low PA on depression (β = 0.31, 95%CI 0.26–0.36). Compared with low COVID-19ST and high PA, there was an interaction association between high COVID-19ST and low PA on depression (β = 0.37, 95%CI 0.32–0.43). There were also current residence areas differences. Conclusions Our findings identified that high ST or low PA was positively associated with depressive symptoms independently, and there was also an interactive effect between ST and PA on depressive symptoms.

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