Dataset Information

Effects of Cognitive Behavioral Group Program for Mental Health Promotion of University Students.

ABSTRACT: This study aimed to explore the effects of a group cognitive behavioral program on depression, self-esteem, and interpersonal relations among undergraduate students. A non-equivalent control group pretest-posttest design was used. A convenient sample of 37 undergraduates (18 in the experimental group and 19 in the control group) at K university located in Changwon, South Korea was used. Data were collected from February 4, 2019 to June 18, 2019. The experimental group received eight sessions of the program, which were scheduled twice a week, with each session lasting 90 min. Collected data were analyzed using a chi-square test, Fisher's exact test, independent t-test, and repeated measures ANOVA by SPSS/WIN 23.0 (SPSS, Inc., Chicago, IL, USA). The interaction of group and time was significant, indicating that the experimental group showed an improvement in depression, self-esteem, and personal relationship compared to the control group. A significant group by time interaction for depression, self-esteem, and personal relationship was also found between the two groups. The study results revealed that the group cognitive behavioral program was effective in reducing depression and improving self-esteem and interpersonal relation. Therefore, the group cognitive behavioral program can be used for promoting the mental health of students as well as for preventing depression in a university setting.

SUBMITTER: Lee S

PROVIDER: S-EPMC7277724 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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Effects of Cognitive Behavioral Group Program for Mental Health Promotion of University Students.

Lee Soojung S Lee Eunjoo E

International journal of environmental research and public health 20200517 10

This study aimed to explore the effects of a group cognitive behavioral program on depression, self-esteem, and interpersonal relations among undergraduate students. A non-equivalent control group pretest-posttest design was used. A convenient sample of 37 undergraduates (18 in the experimental group and 19 in the control group) at K university located in Changwon, South Korea was used. Data were collected from February 4, 2019 to June 18, 2019. The experimental group received eight sessions of ...[more]

PMID: 32429553

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Project description:BACKGROUND:High positive mental health, including the ability to cope with the normal stresses of life, work productively, and be able to contribute to one's community, has been associated with various health outcomes. The role of positive mental health is therefore increasingly recognized in national mental health promotion programs and policies. Mobile health (mHealth) interventions could be a cost-effective way to disseminate positive psychological interventions to the general population. OBJECTIVE:The aim of this study was to estimate the effect of a fully automated mHealth intervention on positive mental health, and anxiety and depression symptomology among Swedish university students using a randomized controlled trial design. METHODS:A 2-arm, single-blind (researchers), parallel-groups randomized controlled trial with an mHealth positive psychology program intervention group and a relevant online mental health information control group was employed to estimate the effect of the novel intervention. Participants were recruited using digital advertising through student health care centers in Sweden. Inclusion criteria were (1) university students, (2) able to read and understand Swedish, (3) and have access to a mobile phone. Exclusion criteria were high positive mental health, as assessed by the Mental Health Continuum Short Form (MHC-SF), or high depression and anxiety symptomology, as assessed by the Hospital Anxiety Depression Scale (HADS). The primary outcome was positive mental health (MHC-SF), and the secondary outcomes were depression and anxiety symptomatology (HADS). The subscales of MHC-SF were also analyzed as exploratory outcomes. Outcomes were measured 3 months after randomization through questionnaires completed on the participants' mobile phones. RESULTS:A total of 654 participants (median age 25 years), including 510 (78.0%) identifying as female, were randomized to either the intervention (n=348) or control group (n=306). At follow-up, positive mental health was significantly higher in the intervention group compared with the control group (incidence rate ratio [IRR]=1.067, 95% CI 1.024-1.112, P=.002). For both depression and anxiety symptomatology, the intervention group showed significantly lower scores at follow-up compared with the control group (depression: IRR=0.820, 95% CI 0.714-0.942, P=.005; anxiety: IRR=0.899, 95% CI 0.840-0.962, P=.002). Follow-up rates were lower than expected (58.3% for primary outcomes and 52.3% for secondary outcomes); however, attrition analyses did not identify any systematic attrition with respect to baseline variables. CONCLUSIONS:The mHealth intervention was estimated to be superior to usual care in increasing positive mental health among university students. A protective effect of the intervention was also found on depressive and anxiety symptoms. These findings demonstrate the feasibility of using an automated mobile phone format to enhance positive mental health, which offers promise for the use of mHealth solutions in public mental health promotion. TRIAL REGISTRATION:International Standard Randomized Controlled Trial Registry ISRCTN54748632; http://www.isrctn.com/ISRCTN54748632.

Project description:BackgroundThe method by which mental health screening result reports are given affects the user's health behavior. Lists with the distribution of scores in various mental health areas is difficult for users to understand, and if the results are negative, they may feel more embarrassed than necessary. Therefore, we propose using group-tailored feedback, grouping people of similar mental health types by cluster analysis for comprehensive explanations of multidimensional mental health.MethodsThis cross-sectional, observational study was conducted using a qualitative approach based on cluster analysis. Data were collected via a developed mental screening website, with depression, anxiety, sleep problems, perfectionism, procrastination, and attention assessed for 2 weeks in January 2020 in Korea. Participants were randomly recruited, and sample size was 174. Total was divided into 25 with severe depression/anxiety (SDA+) and 149 without severe depression/anxiety (SDA-) according to the PHQ-9 and GAD-7 criteria. Cluster analysis was conducted in each group, and an ANOVA was performed to find significant clusters. Thereafter, structured discussion was performed with mental health professionals to define the features of the clusters and construct the feedback content initially. Thirteen expert counselors were interviewed to reconstruct the content and validate the effectiveness of the developed feedback.ResultsSDA- was divided into 3 using the k-means algorithm, which showed the best performance (silhouette score = 0.32, CH score = 91.67) among the clustering methods. Perfectionism and procrastination were significant factors in discretizing the groups. SDA+ subgroups were integrated because only 25 people belonged to this group, and they need professional help rather than self-care. Mental status and treatment recommendations were determined for each group, and group names were assigned to represent their features. The developed feedback was assessed to improve mental health literacy (MHL) through integrative and understandable explanations of multidimensional mental health. Moreover, it appeared that a sense of belonging was induced to reduce reluctance to face the feedback.ConclusionsThis study suggests group-tailored feedback using cluster analysis, which identifies groups of university students by integrating multidimensions of mental health. These methods can help students increase their interest in mental health and improve MHL to enable timely help.

Project description:BackgroundUniversity students are vulnerable to poor mental health, psychological distress, and loneliness relative to nonuniversity student peers. However, the rate of seeking mental health treatment among university students is low. Web-based psychological interventions may provide an opportunity for supporting vulnerable university students who are unlikely to otherwise seek support.ObjectiveThe aim of this study is to examine the feasibility, acceptability, safety, and efficacy of an existing web-based transdiagnostic cognitive behavioral therapy (CBT) mental health program for use among Australian university students.MethodsThis is a pilot randomized controlled trial comparing a self-directed web-based CBT mental health program with a waitlist control. The self-directed modules will be augmented with optional webchat or telephone coaching with a therapist. The recruitment target is 70 university students who do not present with a clinical mental health disorder. Allocation will be made in a 1:1 ratio and will occur after the initial baseline assessment. Assessments will be completed at baseline, upon completion of a 4-week waitlist (waitlist group only), upon completion of the program, and at 3 months after completion of the program.ResultsThe trial was funded in June 2018, and the protocol was approved by the Swinburne University Human Research Ethics Committee in September 2018. Recruitment commenced in October 2018, with the first participant allocated in November 2018. A total of 70 participants were recruited to the trial. The trial recruitment ceased in June 2019, and data collection was finalized in December 2019. We expect the final data analysis to be completed by November 2020 and results to be published early in 2021. The primary outcomes are feasibility, acceptability, safety, and symptoms of depression, anxiety, and stress. The secondary outcomes are psychological wellbeing, quality of life, loneliness, self-reported physical health status, emotion regulation, and cognitive and mindfulness processes.ConclusionsThe acceptability, feasibility, safety, and efficacy of a web-based mental health program in university students will be evaluated. Web-based mental health programs offer the opportunity to engage university students who may be reluctant to seek support through traditional face-to-face mental health services, and the transdiagnostic approach of the program has the potential to address the breadth of mental health concerns of university students.Trial registrationAustralian New Zealand Clinical Trial Registry ACTRN12618001604291; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12618001604291.International registered report identifier (irrid)DERR1-10.2196/21307.

Dataset Information

Effects of Cognitive Behavioral Group Program for Mental Health Promotion of University Students.

Publications

Effects of Cognitive Behavioral Group Program for Mental Health Promotion of University Students.

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