The effectiveness of unguided self-help psychological interventions for obsessive-compulsive disorder: A meta-analysis of randomized controlled trials.

BACKGROUND: Evidence-based psychological interventions exist for individuals with obsessive-compulsive disorder (OCD), but many individuals with OCD are unable to access them because of barriers, such as geographical isolation, treatment cost, and stigma etc. Unguided self-help psychological intervention has emerged as a potential solution to this problem. However, there is limited research on its overall effectiveness. This study aimed to address this gap. METHODS: Comprehensive searches from inception to 1st Jan 2023 were conducted in both international (PubMed, Embase, PsycINFO, International clinical trials registry platform of WHO) and Chinese (China National Knowledge Infrastructure, WeiPu, WanFang, Chinese Clinical Trial Registry) databases. The registered protocol is accessible at https://doi.org/10.17605/OSF.IO/FKB5W. We included randomized controlled trials (RCTs) comparing unguided self-help psychological interventions to control groups for individuals with OCD. The primary outcome was OCD symptom severity, with Hedges' g calculated post-intervention. Heterogeneity was deemed to be low, moderate, and high if the I2 value was quantified 25%, 50%, and 75% respectively. Relative Risks (RRs) was calculated for dropout rates post-intervention. Random-effects models were used for all analyses. RESULTS: 12 RCTs comparing unguided self-help psychological interventions to control groups were identified, with a total of 20 comparisons and 769 OCD patients. Overall, unguided self-help psychological interventions demonstrated a significant moderate effect on reducing OCD symptom severity (g = -0.42; 95% CI [-0.69; -0.14]) compared to control groups, with a moderate heterogeneity (I2 = 59%; 95% CI [22.73; 78.38]). This finding remained significant in sensitivity analyses for the self-rated Yale-Brown Obsessive-Compulsive Scale (Y-BOCS; k = 7, g = -0.46; 95% CI [-0.71; -0.2]) and after removing an outlier (g = -0.37; 95% CI [-0.55; -0.19]), but not for the clinician-rated Y-BOCS (k = 4, g = -0.78; 95% CI [-2.75; 1.19]) and Obsessive Compulsive Inventory-Revised (k = 6, g = -0.26; 95% CI [-0.53; 0]). Subgroup analyses revealed a significant difference in effect size between studies conducting intention-to-treat and completers-only analyses (p = .01). The completers-only analyses demonstrated a moderate significant effect (g = -0.65; 95% CI [-1.08; -0.21]), whereas the effect of the intention-to-treat analyses was not significant (g = -0.18; 95% CI [-0.36; 0]). Participants in the unguided self-help groups exhibited a significantly higher dropout rate (RR = 2.08; 95% CI [1.53; 2.81]) compared to control groups. Furthermore, participants recruited from the community had a higher likelihood of dropping out compared to those recruited from clinical settings (p < .001). Additionally, participants who received cognitive-behavioural therapy intervention were more likely to drop out than those who received other types of intervention (p < .001). Most trials (92%) were rated at a high risk of bias. CONCLUSION: Unguided self-help psychological interventions demonstrate potential effectiveness in alleviating OCD symptom severity post-intervention. However, caution should be exercised when interpreting the results due to high risk of bias across trials and the relatively small sample size. And the considerable dropout rate might hinder treatment effects. Future studies with strict methodology should investigate the long-term effectiveness of unguided self-help psychological interventions for OCD, explore the reasons for high dropout rates, and improve intervention adherence.

Body Mass Index and risk for onset of mood and anxiety disorders in the general population: Results from the Netherlands Mental Health Survey and Incidence Study-2 (NEMESIS-2).

BACKGROUND: Examine the onset of a clinical diagnosis of mood (major depression, dysthymia and bipolar disorder)- and anxiety disorders (panic disorder, agoraphobia without panic disorder, social phobia, specific phobia and generalized anxiety disorder) by Body Mass Index levels at baseline in the general adult population over three years. METHODS: Data are from NEMESIS-2, a representative psychiatric cohort study in the Netherlands. A total of 5303 subjects aged 18-64 were interviewed with the CIDI (3.0 based on DSM-IV) in two waves, with an interval of three years. The first wave was performed from November 2007 to July 2009, the second wave from November 2010 to June 2012. RESULTS: Persons with obesity at baseline had a significantly increased risk of the onset of any mood -or anxiety disorder adjusting for covariates compared to persons with a normal Body Mass Index (OR = 1.71; 95% CI: 1.11-2.62). The odds ratio of the underweight category was non-significant. A dose-response effect of the continuous BMI scores on the onset of any mood or anxiety disorder was found (OR = 1.06; 95% CI: 1.02 = 1.10; p < 0.01). CONCLUSIONS: Obesity at baseline is a risk for the onset of mood -and anxiety disorders at three year follow up.

Correction to: Stigma for common mental disorders in racial minorities and majorities a systematic review and meta-analysis.

An amendment to this paper has been published and can be accessed via the original article.

Stigma for common mental disorders in racial minorities and majorities a systematic review and meta-analysis.

BACKGROUND: There is a strong stigma attached to mental disorders preventing those affected from getting psychological help. The consequences of stigma are worse for racial and/or ethnic minorities compared to racial and/or ethnic majorities since the former often experience other social adversities such as poverty and discrimination within policies and institutions. This is the first systematic review and meta-analysis summarizing the evidence on the impact of differences in mental illness stigma between racial minorities and majorities. METHODS: This systematic review and meta-analysis included cross-sectional studies comparing mental illness stigma between racial minorities and majorities. Systematic searches were conducted in the bibliographic databases of PubMed, PsycINFO and EMBASE until 20th December 2018. Outcomes were extracted from published reports, and meta-analyses, and meta-regression analyses were conducted in CMA software. RESULTS: After screening 2787 abstracts, 29 studies with 193,418 participants (N = 35,836 in racial minorities) were eligible for analyses. Racial minorities showed more stigma than racial majorities (g = 0.20 (95% CI: 0.12 ~ 0.27) for common mental disorders. Sensitivity analyses showed robustness of these results. Multivariate meta-regression analyses pointed to the possible moderating role of the number of studies with high risk of bias on the effect size. Racial minorities have more stigma for common mental disorders when compared with majorities. Limitations included moderate to high risk of bias, high heterogeneity, few studies in most comparisons, and the use of non-standardized outcome measures. CONCLUSIONS: Mental illness stigma is higher among ethnic minorities than majorities. An important clinical implication of these findings would be to tailor anti-stigma strategies related with mental illnesses according to specific racial and/or ethnic backgrounds with the intention to improve mental health outreach.

The effects of fifteen evidence-supported therapies for adult depression: A meta-analytic review.

Objective: In the past decades, many different types of psychotherapy for adult depression have been developed. Method: In this meta-analysis we examined the effects of 15 different types of psychotherapy using 385 comparisons between a therapy and a control condition: Acceptance and commitment therapy, mindfulness-based cognitive behavior therapy (CBT), guided self-help using a self-help book from David Burns, Beck's CBT, the "Coping with Depression" course, two subtypes of behavioral activation, extended and brief problem-solving therapy, self-examination therapy, brief psychodynamic therapy, non-directive counseling, full and brief interpersonal psychotherapy, and life review therapy. Results: The effect sizes ranged from g = 0.38 for the "Coping with Depression" course to g = 1.10 for life review therapy. There was significant publication bias for most therapies. In 70% of the trials there was at least some risk of bias. After adjusting studies with low risk of bias for publication bias, only two types of therapy remained significant (the "Coping with Depression" course, and self-examination therapy). Conclusions: We conclude that the 15 types of psychotherapy may be effective in the treatment of depression. However, the evidence is not conclusive because of high levels of heterogeneity, publication bias, and the risk of bias in the majority of studies.

Effectiveness of a guided internet-based intervention for procrastination among university students - A randomized controlled trial study protocol.

Procrastination is a widespread problem that is highly prevalent among the young adult population and is associated with several negative consequences. However, current evidence on the effectiveness of e-health interventions for procrastination either lack a comparison to an inactive control, do not include a student population or are of poor quality. This protocol describes the design of a trial that will overcome these limitations and examine the effectiveness of a guided internet-based intervention (GetStarted) to reduce problematic procrastinating behaviors in college students compared to a waitlist control. This study will be a two-armed randomized controlled trial with a calculated sample size of N = 176. Participants will be students from seven universities in the Netherlands. The intervention group will receive a four-week e-coach-guided intervention for procrastination. The waitlist control group will get access to treatment four weeks after randomization. Assessments will take place at baseline, post-test (4 weeks post-baseline) and follow-up (6 months post-baseline). Data will be analyzed with an intent-to-treat principle. The primary outcome is change in procrastination behaviors measured on the Irrational Procrastination scale (IPS). Secondary outcomes are depression, anxiety, stress, and quality of life. Additionally, sociodemographic characteristics of the participants, satisfaction with treatment, program usability, satisfaction with e-coach and treatment adherence will be examined as potential moderators. The results from this study can build evidence for the effectiveness of a guided internet-based intervention for treating procrastination in college students. Should it be effective, GetStarted could provide a flexible, low-intense and cost-effective treatment for procrastination and prevent common mental health problems in college students. Trial registration: This trial is registered at ClinicalTrials.gov Protocol Registration and Results System (Trial number: NCT05478096).

A Guided Web-Based Intervention Targeting Procrastination in College Students: Protocol for an Open Trial.

BACKGROUND: Academic procrastination is a widespread problem among college students. It is linked to poor academic performance and increased college dropout intentions, as well as several mental health problems such as depression, anxiety, and stress. Guided web-based interventions can help reduce procrastination. However, guidance by professional clinicians draws upon valuable and limited societal resources, and a more efficient, scalable form of guidance is needed. Guidance by trained clinical psychology students has not yet been examined. OBJECTIVE: The aim of this open trial is to examine the feasibility and acceptability of a web-based procrastination intervention for college students under the guidance of student digital coaches (e-coaches). METHODS: We developed a single-arm trial of a guided web-based intervention targeting procrastination for the Dutch student population. Guidance is delivered by trained clinical psychology students asynchronously in the form of textual feedback on intervention progress, with the aim of supporting and motivating the participant. Participants are recruited at 7 Dutch universities. Primary outcomes are intervention satisfaction, usability, and adherence, which are assessed by the Client Satisfaction Scale (CSQ-8), System Usability Scale (SUS-10), and number of completed modules, respectively. The primary outcomes will be examined by calculating descriptive statistics. Secondary outcomes are e-coach satisfaction and changes to procrastination, depression, stress, and quality of life from pre- to posttest and follow-up. RESULTS: The project was funded in 2019, and recruitment began in January 2021. As of May 2023, a total of 985 participants were enrolled, of which 372 had completed the posttest and 192 had completed the follow-up. The expected date of analysis and publication of the results is 2024. CONCLUSIONS: The results are expected to contribute to the body of literature regarding eHealth in 3 ways. First, we will examine whether students who procrastinate adhere to and are satisfied with an eHealth intervention targeting this problem. Second, we will explore whether an intervention targeting procrastination can also decrease depression and stress. Lastly, we will investigate whether trained psychology students can effectively guide their peers in web-based interventions. Given the shortage of licensed psychologists, exploring alternative sources of guidance is much needed in order to provide students with the mental health support they need. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/44907.

Sources of stress among domestic and international students: a cross-sectional study of university students in Amsterdam, The Netherlands.

High perceived stress is associated with psychological and academic difficulties among college students. In this study, we aimed to investigate associations of student status (international vs domestic student in the Netherlands) with eight common sources of stress (i.e., financial, health, love life, relationship with family, relationship with people at work/ school, the health of loved ones, other problems of loved ones, and life in general). Participants were 2,196 college students (domestic: n = 1,642, international: n = 554) from two universities in Amsterdam, the Netherlands. Hierarchical linear regression analyses were used to estimate associations of student status with all eight sources of stress. Student status was significantly associated with higher levels of perceived stress in almost all life domains. International student status was significantly associated with higher perceived stress in the domains of financial situation and health of loved ones after adjusting for sociodemographic characteristics, depressive and anxiety symptoms, and other sources of stress. Findings highlight that several differences exist in the magnitude of perceived stress in certain areas between international and domestic students in the Netherlands. Consequently, it is essential to uncover the different needs of college students and develop specific strategies to deliver the most suitable services.

A Guided, Internet-Based Stress Management Intervention for University Students With High Levels of Stress: Feasibility and Acceptability Study.

BACKGROUND: Transitioning to adulthood and challenges in university life can result in increased stress levels among university students. Chronic and severe stress is associated with deleterious psychological and physiological effects. Digital interventions could succeed in approaching and helping university students who might be at risk; however, the experiences of students with internet-based stress management interventions are insufficiently understood. OBJECTIVE: This study aims to explore the feasibility; acceptability; and changes in perceived stress, depressive symptoms, and quality of life from baseline to posttest assessment of a 5-session, internet-based stress management intervention guided by an e-coach, developed for university students experiencing high levels of stress. METHODS: A single-arm study was conducted. Students were recruited from different channels, mainly from a web survey. Students were eligible if they (1) scored ≥20 on the Perceived Stress Scale-10, (2) were aged ≥18 years, and (3) were studying at one of the participating universities. Feasibility and acceptability of the intervention were investigated using several indications, including satisfaction (Client Satisfaction Questionnaire-8) and usability (System Usability Scale-10). We also investigated the indicators of intervention adherence using use metrics (eg, the number of completed sessions). Our secondary goal was to explore the changes in perceived stress (Perceived Stress Scale-10), depressive symptoms (Patient Health Questionnaire-9), and quality of life (EQ-5D-5L scale) from baseline to posttest assessment. In addition, we conducted semistructured interviews with intervention completers and noncompleters to understand user experiences in depth. For all primary outcomes, descriptive statistics were calculated. Changes from baseline to posttest assessment were examined using 2-tailed paired sample t tests or the Wilcoxon signed rank test. Qualitative data were analyzed using thematic analysis. RESULTS: Of 436 eligible students, 307 (70.4%) students started using the intervention. Overall, 25.7% (79/307) completed the core sessions (ie, sessions 1-3) and posttest assessment. A substantial proportion of the students (228/307, 74.3%) did not complete the core sessions or the posttest assessment. Students who completed the core sessions reported high satisfaction (mean 25.78, SD 3.30) and high usability of the intervention (mean 86.01, SD 10.25). Moreover, this group showed large reductions in perceived stress (Cohen d=0.80) and moderate improvements in depression score (Cohen d=0.47) and quality of life (Cohen d=-0.35) from baseline to posttest assessment. Qualitative findings highlight that several personal and intervention-related factors play a role in user experience. CONCLUSIONS: The internet-based stress management intervention seems to be feasible, acceptable, and possibly effective for some university students with elevated stress levels. However, given the high dropout rate and qualitative findings, several adjustments in the content and features of the intervention are needed to maximize the user experience and the impact of the intervention. TRIAL REGISTRATION: Netherlands Trial Register 8686; https://onderzoekmetmensen.nl/nl/trial/20889. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1016/j.invent.2021.100369.

Use of tailoring features and reasons for dropout in a guided internet-based transdiagnostic individually-tailored cognitive behavioral therapy for symptoms of depression and/or anxiety in college students.

Transdiagnostic individually-tailored digital interventions reduce symptoms of depression and anxiety in adults with moderate effects. However, research into these approaches for college students is scarce and contradicting. In addition, the exact reasons for intervention dropout in this target group are not well known, and the use of individually-tailored intervention features, such as optional modules, has not yet been explored. The current study aimed to (1) investigate reasons for dropout from a guided internet-based transdiagnostic individually-tailored intervention for college students assessed in a randomized controlled trial (RCT) and (2) evaluate whether participants used tailoring features intended for their baseline symptoms. A sample of college students with mild to moderate depression and/or anxiety symptoms (n = 48) in the Netherlands (partially) followed a guided internet-based transdiagnostic individually-tailored intervention. We contacted those who did not complete the entire intervention (n = 29) by phone to report the reasons for intervention dropout. Further, we descriptively explored the use of tailoring features (i.e., depression versus anxiety trajectory) and optional modules of the intervention in the whole sample. We identified a range of person- and intervention-related reasons for intervention dropout, most commonly busy schedules, needs for different kinds of help, or absence of personal contact. Furthermore, only less than half of the participants used the individually-tailoring features to address the symptoms they reported as predominant. In conclusion, digital interventions clear about the content and targeted symptoms, tested in user research could prevent dropout and create reasonable expectations of the intervention. Participants would benefit from additional guidance when using tailoring features of digital interventions, as they often do not choose the tailoring features targeting their baseline symptoms.

Back2Action: effectiveness of physiotherapy blended with eHealth consisting of pain education and behavioural activation versus physiotherapy alone-protocol for a pragmatic randomised clinical trial for people with subacute or persistent spinal pain.

INTRODUCTION: Psychosocial factors predict recovery in patients with spinal pain. Several of these factors are modifiable, such as depression and anxiety. However, primary care physiotherapists who typically manage these patients indicate that they do not feel sufficiently competent and equipped to address these factors optimally. We developed an eHealth intervention with a focus on pain education and behavioural activation to support physiotherapists in managing psychosocial factors in patients with spinal pain. This paper describes the protocol for a pragmatic randomised clinical trial, which evaluates the effectiveness of this eHealth intervention blended with physiotherapy compared with physiotherapy alone. METHODS AND ANALYSIS: Participants with non-specific low back pain and/or neck pain for at least 6 weeks who also have psychosocial risk factors associated with the development or maintenance of persistent pain will be recruited in a pragmatic multicentre cluster randomised clinical trial. The experimental intervention consists of physiotherapy blended with six online modules of pain education and behavioural activation. The control intervention consists of usual care physiotherapy. The primary outcomes are disability (Oswestry Disability Index for low back pain and Neck Disability Index for neck pain) and perceived effect (Global Perceived Effect). Outcomes will be assessed at baseline and at 2, 6 and 12 months after baseline. The results will be analysed using linear mixed models. ETHICS AND DISSEMINATION: The study is approved by the Medical Ethical Committee of VU Medical Center Amsterdam, The Netherlands (2017.286). Results will be reported in peer-reviewed journals, at national and international conferences, and in diverse media to share the findings with patients, clinicians and the public. TRIAL REGISTRATION NUMBER: NL 5941; The Netherlands Trial Register.

Effects of self-guided stress management interventions in college students: A systematic review and meta-analysis.

BACKGROUND: College students face several sources of stress. Self-guided stress management interventions offer an excellent opportunity for scaling up evidence-based interventions for self-management of these stresses. However, little is known about the overall effects of these interventions. Increasing this understanding is essential because self-guided stress management interventions might be a cost-effective and acceptable way of providing help to this important segment of the population during a critical life course stage. METHODS: We carried out a systematic literature search of bibliographical databases (PubMed, PsycINFO, Embase, and Cochrane Library) for randomized controlled trials (RCTs) of self-guided stress management interventions published up through April 2020. We conducted two separate meta-analyses for perceived stress, depression, and anxiety. The first included interventions for general college student samples. The second included studies for students with high levels of perceived stress. RESULTS: The first meta-analysis included 26 studies with 29 intervention-control comparisons based on a total of 4468 students. The pooled effect size was small but statistically significant (g = 0.19; 95% CI [0.10, 0.29]; p < 0.001). Results showed moderate heterogeneity across studies [I 2 = 48%; 95% CI (19, 66%)]. The second meta-analysis, included four studies based on a total of 491 students with high levels of stress. The pooled effect size was small but statistically significant (g = 0.34; 95% CI [0.16, 0.52]; p < 0.001). Results showed no heterogeneity across studies (I 2 = 0%; 95% CI [0, 79%]), but risk of bias was substantial. DISCUSSION: Our results suggest that self-guided stress management programs may be effective when compared to control conditions, but with small average effects. These programs might be a useful element of a multi-component intervention system. Given the psychological barriers to treatment that exist among many college students, self-help interventions might be a good first step in facilitating subsequent help-seeking among students reluctant to engage in other types of treatment. More studies should be conducted to investigate these interventions, sample specifications, mediating effects, and individual-level heterogeneity of effects.

Guided internet-based transdiagnostic individually tailored Cognitive Behavioral Therapy for symptoms of depression and/or anxiety in college students: A randomized controlled trial.

Common mental disorders, such as depression and anxiety, often emerge in college students during the transition into early adulthood. Mental health problems can seriously impact students' functioning, interpersonal relationships, and academic achievement. Actively reaching out to college students with mental health problems and offering them internet-based interventions may be a promising way of providing low-threshold access to evidence-based treatment in colleges. This randomized controlled trial aimed to assess the effectiveness of a guided web-based transdiagnostic individually tailored Cognitive Behavioral Therapy (iCBT) in treating college students with depression and/or anxiety symptoms. Through an online survey that screened college students' mental health, we recruited 100 college students aged ≥18 years who reported mild to moderate depression and/or anxiety symptoms and were attending colleges in the Netherlands. Participants were randomly allocated to guided iCBT (n = 48) or treatment as usual (TAU) control (n = 52). Primary outcomes were symptoms of depression and anxiety measured at post-treatment (7 weeks post-randomization). We also measured all outcomes at 6- and 12-months post-randomization. All analyses were based on the intention-to-treat principle and were repeated using the complete-case sample. We found no evidence of a difference between the effects of guided iCBT and TAU in any of the examined outcomes (i.e., symptoms of depression and anxiety, quality of life, educational achievement, and college dropout) across all time points (p > .05). There was no evidence that effects of iCBT were associated with treatment satisfaction and adherence. More research into transdiagnostic individually tailored iCBT is necessary. Further, future studies should recruit larger samples to investigate possible smaller but clinically relevant effects of internet-based interventions for college students with depression and/or anxiety.

Are sedentary television watching and computer use behaviors associated with anxiety and depressive disorders?

Sedentary behaviors may be more common among persons with mental disorders and thereby result in poorer health outcomes. This study examined whether independently of general physical activity level, mental disorders are linked to two important examples of sedentary behavior: computer use and watching television. We used cross-sectional data from The Netherlands Study of Depression and Anxiety (NESDA). Our study sample consisted of 2353 participants (age 18-65) of whom 1701 had a current anxiety and/or depressive diagnosis and 652 were healthy controls. Anxiety and depression diagnoses were conducted using the DSM-IV based Composite International Diagnostic Interview. Controlling for sociodemographics and physical activity level we found that persons with a major depressive disorder (MDD) spend significantly more leisure time using the computer. We found that persons with dysthymia, panic disorder and agoraphobia spend significantly more daily hours watching television compared to controls. This study illustrates that sedentary behaviors occur more frequently among persons with a mental disorder, independent of general physical activity level.

Reducing suicidal ideation among Turkish migrants in the Netherlands and in the UK: the feasibility of a randomised controlled trial of a guided online intervention.

BACKGROUND: The evidence for the effectiveness of e-mental health interventions among ethnic minorities is still preliminary. This mixed methods study investigates the feasibility of a culturally adapted, guided online intervention with the intention to understand how it works and for whom to inform refinement. It also examines its likely effectiveness in reducing suicidal ideation when compared with the treatment as usual. METHODS: Turkish migrants with mild to moderate suicidal thoughts were recruited from the general population using social media and newspaper advertisements. The intervention group obtained direct access to a 6-week guided online intervention while participants in the waiting list condition had to wait for 6 weeks. The intervention is based on an existing online intervention and was culturally adapted. Participants in both conditions completed baseline, post-test, and follow-up questionnaires on suicidal ideation (primary outcome), depression, worrying, hopelessness, suicide attempt and self-harm, acculturation, quality of life, and usability. In addition, participants were interviewed to examine the feasibility and mechanisms of action in more depth. The responses were analysed by inductive thematic analysis. RESULTS: Eighty-five people signed up via the study website, and we included 18 (10 intervention, 8 waitlist control). While the therapeutic benefits were emphasised (e.g. feeling connected with the intervention), the feasibility was judged to be low. The main reasons given were not having severe suicidal thoughts and not being represented by the culturally adapted intervention. No suicide attempts were recorded during the study. The suicidal ideation, depression, and hopelessness scores were improved in both groups. CONCLUSION: Although intended to be a definitive trial, the current study became a feasibility study with process evaluation to understand the components and how they operate. The online intervention was not superior to the control condition. Future studies need to attend the implementation issues raised including measures of stigma, acculturation, and careful cultural adaptations alongside more attention to coaching and relational support. They should also consider how to improve engagement alongside selection of those who are motivated to use online interventions and offer alternatives for those who are not. TRIAL REGISTRATION: Netherlands Trial Register, NTR5028 . Registered on 1 March 2015.

Feasibility and acceptability of a guided internet-based stress management intervention for university students with high levels of stress: Protocol for an open trial.

More than half of university students have high levels of stress. Stress management programs can help students improve coping skills and prevent psychological distress. However, studies have generally targeted all university students regardless of whether they experience high levels of stress or not, and thus more studies are needed to examine the feasibility and acceptability of e-health interventions for students with elevated stress. The present open trial aims to examine the feasibility and acceptability of a guided internet-based stress management program for university students with high levels of stress. In this study, participants are recruited via e-mail, newsletters, and flyers from four universities in the Netherlands to participate in a guided internet-based stress management program. Guidance is delivered by e-coaches who provide weekly asynchronous text-based motivational feedback after each module is completed. Primary outcomes are satisfaction with the intervention, assessed by the Client Satisfaction Scale (CSQ-8), and usability, assessed by the System Usability Scale (SUS-10). Secondary outcomes are perceived stress, quality of life, and depression, assessed by the Perceived Stress Scale (PSS-10), the EuroQol- 5 Dimension- 5 Level Scale (EQ- 5D- 5L), and the Patient Health Questionnaire (PHQ-9) respectively. Adherence rates to the program are assessed by examining the number of completed modules, time spent on the platform, and completed exercises. The Caring Universities Project was funded in (September 2019). In June 2020, the project was officially announced to the students and recruitment began immediately. As of October 2020, recruitment continues. The expected date of the publication of the results is in 2021. It is expected that the results of the proposed study will be informative for designing and implementing e-health interventions in higher education. Moreover, it is assumed that the findings will contribute to the growing literature on internet interventions by yielding preliminary evidence related to the feasibility and acceptability of an online stress management program. TRIAL REGISTRATION: Netherlands Trial Register NL8686; https://www.trialregister.nl/trial/8686.

The Associations of Common Psychological Problems With Mental Disorders Among College Students.

Psychological problems like procrastination, perfectionism, low self-esteem, test anxiety and stress are common among college students. There are evidence-based interventions available for these problems that not only have direct effects on these problems, but also indirect effects on mental disorders such as depression and anxiety disorders. Targeting these psychological problems may offer new opportunities to prevent and treat mental disorders in a way that is less stigmatizing to students. In this study we examined the association of five psychological problems with five common mental disorders (panic, generalized anxiety, bipolar, major depressive, and substance use disorder) in a sample of 2,449 students from two Dutch universities. Psychological problems were measured with one item for each problem and mental disorders were measured with the Composite International Diagnostic Interview Screening Scales. Associations were examined with Poisson regression models as relative risks (RR) of the disorders as a function of the psychological problems. The population attributable fraction (PAF) indicates by what percentage the prevalence of the mental disorder would be reduced if the psychological problem was addressed successfully by an intervention. Especially generalized anxiety disorder was strongly associated with psychological problems (strong associations with stress and low self-esteem and moderately with test anxiety). The group with three or more psychological problems had a strongly increased risk for generalized anxiety (RR = 11.25; 95% CI: 7.51-16.85), and a moderately increase risk for major depression (RR = 3.22; 95% CI: 2.63-3.95), panic disorder (RR = 3.19; 95% CI: 1.96-5.20) and bipolar disorder (RR = 3.66; 95% CI: 2.40-5.58). The PAFs for having any of the psychological problems (one or more) were considerable, especially for generalized anxiety (60.8%), but also for panic disorder (35.1%), bipolar disorder (30.6%) and major depression (34.0%). We conclude that common psychological problems are associated with mental disorders and with each other. After adjustment, psychological problems are associated with different patterns of mental disorders. If the impact of the psychological problems could be taken away, the prevalence of several mental disorders would be reduced considerably. The psychological problems may provide a promising target to indirectly prevent and intervene in psychopathology in hard to reach college students with mental disorders.

Depressive and anxiety disorders and the association with obesity, physical, and social activities.

OBJECTIVE: There is evidence of more obesity among persons with depressive and depressive and anxiety disorders. However, the nature and the underlying mechanisms of the association are still unclear. This study examines the association between depressive and anxiety disorders and obesity, physical activity, and social activity, and examines whether social and physical activity are potential influencing factors in the association between depressive and anxiety disorders and obesity. METHOD: Cross-sectional data were used from the Netherlands Study of Depression and Anxiety. A total of 1,854 women and 955 men aged 18-65 years were recruited from the community, general practices, and specialized mental health care. Depressive and anxiety disorders were determined with the Composite International Diagnostic Interview. Body mass index (BMI<30 kg/m(2) ) was used to determine obesity. Physical and social activities were measured by self-report. RESULTS: The odds of obesity adjusted for covariates was significantly higher among those with a current pure Major Depressive Disorder (MDD;odds ratio [OR] OR:1.43; 95% CI:1.07-1.92) compared to controls. Physical activity and social activities were lower among persons with depressive and anxiety disorders compared to controls. The association between MDD and obesity was influenced by social and physical activities. CONCLUSION: This study confirmed a link between depressive disorders and obesity that was influenced by lower social and physical activities among the depressed.

Depression and obesity: a meta-analysis of community-based studies.

To examine the nature of the association between depression and obesity and to determine possible underlying (demographic) factors, we conducted a meta-analysis of cross-sectional studies in the general population. We searched in major bibliographical databases (PubMed, Embase and PsycInfo) for studies examining the association between obesity and depression in the adult, general population. Seventeen studies were included with a total of 204,507 participants. We calculated an overall pooled mean effect size and conducted subgroup analyses on gender, age, continent of residence, year of publication and several differences in measurement methods. After removing two outliers, the overall association for depression and obesity was very significant. Subgroup analyses showed a trend indicating a possible significant difference between males and females. We found a significant positive association for females and a smaller non-significant association for males. The results of other subgroup analyses showed no significant differences. According to the findings of this study, there is a significant positive association between depression and obesity in the general population, which appeared to be more marked among women. Further research should focus on underlying factors and examine causal pathways between depression and obesity.

Depression and body mass index, a u-shaped association.

BACKGROUND: Results of studies concerning the association between obesity and depression are conflicting. Some find a positive association, some a negative association and some find no association at all. Most studies, however, examine a linear association between Body Mass Index (BMI) and depression. The present study investigates if a nonlinear (U-shaped) trend is preferable over a linear trend to describe the relationship between BMI and depression, which means that both underweight and obesity are associated with depression. METHODS: We investigated the existence of such a U-curve in a sample of 43,534 individuals, aged between 18-90 years, who participated in a cross-sectional study (Continuous Survey of Living Conditions) of physical and mental health in the general population of the Netherlands. We calculated linear and nonlinear (quadratic) ANOVA with polynomial contrast and curve fit regression statistics to investigate whether there was a U-shaped trend in the association between BMI and depression. RESULTS: We find a very significant U-shaped association between BMI categories (underweight, normal, overweight and obesity) and depression (p