Dataset Information

Relationship between cognitive behavioral variables and mental health status among university students: A meta-analysis.

ABSTRACT: Cognitive behavioral therapy is an effective treatment for improving mental health problems among university students. However, intervention components have different effects on mental health problems. This paper is a meta-analysis of the data concerning the relationship between cognitive behavioral variables and mental health status among university students. A total of five electronic databases were reviewed, and 876 articles met the initial selection criteria. Reviewers applied standardized coding schemes to extract the correlational relationship between cognitive behavioral variables and mental health status. A total of 55 articles were included in the meta-analysis. Correlations were found for three cognitive behavioral variables (attention, thought, and behavior) across nine mental health domains (negative affect, positive affect, happiness, social function, stress response, psychological symptom, quality of life, well-being, and general health). Across each cognitive behavioral process and all mental health domains, the estimated mean correlation was medium (r = .32 - .46), and varied by the domain of mental health.

SUBMITTER: Irie T

PROVIDER: S-EPMC6764683 | biostudies-other | 2019

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Relationship between cognitive behavioral variables and mental health status among university students: A meta-analysis.

Irie Tomonari T Yokomitsu Kengo K Sakano Yuji Y

PloS one 20190927 9

Cognitive behavioral therapy is an effective treatment for improving mental health problems among university students. However, intervention components have different effects on mental health problems. This paper is a meta-analysis of the data concerning the relationship between cognitive behavioral variables and mental health status among university students. A total of five electronic databases were reviewed, and 876 articles met the initial selection criteria. Reviewers applied standardized c ...[more]

PMID: 31560719

Similar Datasets

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:The first year of university is a particularly stressful period and can impact academic performance and students' health. The aim of this study was to evaluate the health and lifestyle of undergraduates and assess risk factors associated with psychiatric symptoms.Between September 2012 and June 2013, we included all undergraduate students who underwent compulsory a medical visit at the university medical service in Nice (France) during which they were screened for potential diseases during a diagnostic interview. Data were collected prospectively in the CALCIUM database (Consultations Assistés par Logiciel pour les Centres Inter-Universitaire de Médecine) and included information about the students' lifestyle (living conditions, dietary behavior, physical activity, use of recreational drugs). The prevalence of psychiatric symptoms related to depression, anxiety and panic attacks was assessed and risk factors for these symptoms were analyzed using logistic regression.A total of 4,184 undergraduates were included. Prevalence for depression, anxiety and panic attacks were 12.6%, 7.6% and 1.0%, respectively. During the 30 days preceding the evaluation, 0.6% of the students regularly drank alcohol, 6.3% were frequent-to-heavy tobacco smokers, and 10.0% smoked marijuana. Dealing with financial difficulties and having learning disabilities were associated with psychiatric symptoms. Students who were dissatisfied with their living conditions and those with poor dietary behavior were at risk of depression. Being a woman and living alone were associated with anxiety. Students who screened positively for any psychiatric disorder assessed were at a higher risk of having another psychiatric disorder concomitantly.The prevalence of psychiatric disorders in undergraduate students is low but the rate of students at risk of developing chronic disease is far from being negligible. Understanding predictors for these symptoms may improve students' health by implementing targeted prevention campaigns. Further research in other French universities is necessary to confirm our results.

Project description:BackgroundThere is limited evidence on the extent of the perceived need and barriers to professional mental health service delivery to university students with mental distress in low- and middle-income countries (LMICs). This study was designed to assess the prevalence of mental distress, perceived need for professional mental health care and barriers to the delivery of services to affected undergraduate university students in Ethiopia.MethodsA multi-stage sampling technique was used to recruit 1135 undergraduate university students. Symptoms of mental distress were evaluated using the Self-Reported Questionnaire (SRQ-20) and a score of above seven was used to identify positive cases. The perceived need for professional mental health care was assessed using a single 'yes or no' response item and barriers to mental health care were assessed using Barriers to Access to Care Evaluation (BACE-30) tool. Percentage, frequency, mean, and standard deviation were employed to summarize demographic characteristics of the participants and to identify common barriers to mental health care service. Moreover, the association of demographic variables with total mean scores of BACE-III sub-scales was modeled using multiple linear regression.ResultsThe prevalence of mental distress symptoms was 34.6% and the perceived need for professional mental health care was 70.5% of those with mental distress. The top five barriers to receiving professional mental health service were (a) thinking the problem would get better with no intervention, (b) being unsure where to go to get professional help, (c) wanting to solve the problem without intervention, (d) denying a mental health problem existed, and (e) preferring to get alternative forms of mental care. Coming from a rural background, being a second and fourth-year student, and a family history of mental illness were significantly associated with barriers to receive professional mental health service.ConclusionThe high prevalence of mental distress, the paucity of mental health care, and the report of barriers to access what professional mental health care there is among Ethiopian undergraduate students is a call to address the disparity.

Dataset Information

Relationship between cognitive behavioral variables and mental health status among university students: A meta-analysis.

Publications

Relationship between cognitive behavioral variables and mental health status among university students: A meta-analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure