scholarly journals Associations of Mental Health Problems With Waterpipe Tobacco and Cigarette Smoking Among College Students

2013 ◽  
Vol 48 (3) ◽  
pp. 211-219 ◽  
Author(s):  
Brian A. Primack ◽  
Stephanie R. Land ◽  
Jieyu Fan ◽  
Kevin H. Kim ◽  
Daniel Rosen
2013 ◽  
Vol 43 (12) ◽  
pp. 538-544 ◽  
Author(s):  
Melissa E. DeRosier ◽  
Ellen Frank ◽  
Victor Schwartz ◽  
Kevin A. Leary

2017 ◽  
Vol 58 (1) ◽  
pp. 113-117 ◽  
Author(s):  
Andrew Downs ◽  
Laura A. Boucher ◽  
Duncan G. Campbell ◽  
Anita Polyakov

2020 ◽  
Author(s):  
Taewan Kim ◽  
Hwajung Hong

BACKGROUND College students are at a vulnerable age; among those with serious mental health problems, this period is frequently when the first episodes appear. As a result, college students are increasingly disclosing their vulnerable, stigmatized experiences on social networking sites (SNSs). Understanding students’ perceptions and attitudes toward their peers who are dealing with mental health problems is vital to the efforts to eliminate peer exclusion and foster social support. OBJECTIVE This work aims to provide a better understanding of how college perceive and react to their fellow students’ mental health related activities on SNSs. We investigate how students recognize, perceive, and react to peers who display mental health related challenges on SNSs. METHODS Survey with 226 students, and semi structured interviews with 20 students were conducted at six universities in South Korea. RESULTS We revealed that a considerable number of college students did not proactively provide support even when they identified at-risk peers because of stigmatized content, unusual online activities, or a gap between online and offline identities. We found that the students’ lack of knowledge, confidence, and expectations as well as their desire to maintain distance from at-risk peers hindered social support. CONCLUSIONS On the basis of this study’s finding, we discuss SNS design guideline that would help these platforms facilitate support exchanges among peers while minimizing potential risks.


2021 ◽  
Vol 8 (4) ◽  
pp. 193-197
Author(s):  
Eirini Kotsalou ◽  
Evanthia Sakellari ◽  
Areti Lagiou ◽  
Evaggelia Kotsalou

Objective: The university medical services vary around the world (even within each university), but there are only a few publications on the utilization of these services by the students. The available on-campus services of public health care might include general health care, women’s centers, mental health care, disability services, wellness resource centers, career counseling, and alcohol and other drug education programs. Evidence Acquisition: This paper reviews the current literature on the overtime and current (due to Covid-19 pandemic) public health needs of college students based on studies that report the commonest specific diagnostic reasons for using the on-campus health care services. Results: Special reference is done on mental health problems among students generally and the students of health professions fields (a specific category themselves). Besides, other issues of interest are the substance-related problems among students and their perceptions about mental health problems and on- campus help- seeking services. Conclusions: It is unanimous that we need further educational and promotional campaigns to enhance the students; help-seeking behaviors, reduce stigmatizing behaviors and create more preventive public health services on campus, but also out-campus due to the Covid-19 pandemic. 


2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Qinghua Tang ◽  
Yixuan Zhao ◽  
Yujia Wei ◽  
Lu Jiang

The mental health of young college students has always been a social concern. Strengthening the supervision of college students’ mental health problems is an important research content. In this regard, this paper proposes to apply fuzzy cluster analysis to the health analysis of college students and explore college students through fuzzy clustering. Explore the potential relationship between the factors that affect the health of college students, and this will provide a reference for the early prevention and intervention of college students’ mental health problems. In view of this, an improved fuzzy clustering method based on the firefly algorithm is proposed. First, the Chebyshev diagram is introduced into the firefly algorithm to initialize the population distribution. Then, an adaptive step size method is proposed to balance exploration and development capabilities. Finally, in the local search process, a Gaussian perturbation strategy is added to the optimal individual in each iteration to make it jump out of the local optimal. The process has good optimization capabilities and is easy to obtain the global optimal value. It can be used as the initial center of the fuzzy C-means clustering algorithm for clustering, which can effectively enhance the robustness of the algorithm and improve the global optimization ability. In order to evaluate the effectiveness of the algorithm, comparative experiments were carried out on four datasets, and the experimental results show that the algorithm is better than the comparison algorithm in clustering accuracy and robustness.


2020 ◽  
Vol 29 ◽  
Author(s):  
Z. Ma ◽  
J. Zhao ◽  
Y. Li ◽  
D. Chen ◽  
T. Wang ◽  
...  

Abstract Aims Coronavirus disease 2019 (COVID-19) pandemic is a major public health concern all over the world. Little is known about the impact of COVID-19 pandemic on mental health in the general population. This study aimed to assess the mental health problems and associated factors among a large sample of college students during the COVID-19 outbreak in China. Methods This cross-sectional and nation-wide survey of college students was conducted in China from 3 to 10 February 2020. A self-administered questionnaire was used to assess psychosocial factors, COVID-19 epidemic related factors and mental health problems. Acute stress, depressive and anxiety symptoms were measured by the Chinese versions of the impact of event scale-6, Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7, respectively. Univariate and hierarchical logistic regression analyses were performed to examine factors associated with mental health problems. Results Among 821 218 students who participated in the survey, 746 217 (90.9%) were included for the analysis. In total, 414 604 (55.6%) of the students were female. About 45% of the participants had mental health problems. The prevalence rates of probable acute stress, depressive and anxiety symptoms were 34.9%, 21.1% and 11.0%, respectively. COVID-19 epidemic factors that were associated with increased risk of mental health problems were having relatives or friends being infected (adjusted odds ratio = 1.72–2.33). Students with exposure to media coverage of the COVID-19 ≥3 h/day were 2.13 times more likely than students with media exposure <1 h/day to have acute stress symptoms. Individuals with low perceived social support were 4.84–5.98 times more likely than individuals with high perceived social support to have anxiety and depressive symptoms. In addition, senior year and prior mental health problems were also significantly associated with anxiety or/and depressive symptoms. Conclusions In this large-scale survey of college students in China, acute stress, anxiety and depressive symptoms are prevalent during the COVID-19 pandemic. Multiple epidemic and psychosocial factors, such as family members being infected, massive media exposure, low social support, senior year and prior mental health problems were associated with increased risk of mental health problems. Psychosocial support and mental health services should be provided to those students at risk.


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