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.

Emotional and social loneliness and their unique links with social isolation, depression and anxiety.

BACKGROUND: Loneliness and social isolation are known to be associated with depression, general anxiety, and social anxiety. However, knowledge on the overlapping and unique features of these relationships, while differentiating between social loneliness (perceived absence of an acceptable social network) and emotional loneliness (perceived absence of close connections), is lacking. METHODS: We constructed a network analysis to examine the relationships between self-reported social loneliness, emotional loneliness, social isolation, depression, general anxiety and social anxiety in a large sample of university students (N = 7314, 67.4 % female, range 16.3-75.8 years, Mage = 23.9, SDage = 5.7). Hierarchical regression analyses were used to examine whether depression, general anxiety and social anxiety moderated the relationship between social isolation and loneliness types. As comorbidity between anxiety and depression is high, the role of anxiety as a moderator in the relationship between depression and loneliness types was also examined. RESULTS: The network analysis showed that social loneliness was most strongly explained by social isolation, whereas emotional loneliness was most strongly explained by social anxiety and depression. General anxiety was solely related to loneliness through depression. The regression analyses showed that general and social anxiety and depression did not moderate the relationship between social isolation and loneliness types. LIMITATIONS: Differences found between loneliness types may be influenced by a methodological artifact of the DJGLS. CONCLUSIONS: These findings highlight the importance of social anxiety over general anxiety in relation to loneliness. Also, it showed unique relationships for social- and emotional loneliness with psycho-social variables, which has important implications for research- and clinical settings.

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.

COVID-19 and mental health among at-risk university students: A prospective study into risk and protective factors.

OBJECTIVE: The COVID-19 pandemic has confronted young adults with an unprecedented mental health challenge. Yet, prospective studies examining protective factors are limited. METHODS: In the present study, we focused on changes in mental health in a large sample (N = 685) of at-risk university students, which were measured before and during the pandemic. Network modeling was applied to 20 measured variables to explore intercorrelations between mental health factors, and to identify risk and protective factors. Latent change score modeling was used on a subset of variables. RESULTS: The main findings indicate that (1) mental health problems increased at group level, especially depression-anxiety and loneliness; (2) emotional support during the COVID pandemic was associated with smaller increases in loneliness and depression-anxiety; (3) COVID-related stress predicted increases in depression-anxiety; (4) loneliness acted as a bridge construct between emotional support and changes in mental health. CONCLUSION: To mitigate the impact of the COVID-19 pandemic on the mental health of young adults, is it recommended to focus on interventions that strengthen internal resources (stress-regulating abilities) and reduce loneliness.

The Use of the Alcohol Use Disorders Identification Test - Consumption as an Indicator of Hazardous Alcohol Use among University Students.

BACKGROUND: Hazardous drinking among students in higher education is a growing concern. The alcohol use disorders identification test (AUDIT) is the gold standard screening instrument for hazardous drinking in the adult population, for which an abbreviated version has been developed: the -AUDIT-Consumption (AUDIT-C). Currently, there's no gold standard for identifying hazardous drinking among students in higher education and little evidence regarding the concurrent validity of the AUDIT-C as a screening instrument for this group. This study investigated the concurrent validity of the AUDIT-C in a sample of university students and suggests the most appropriate cutoff points. METHODS: Cross-sectional data of health surveys from 5,401 university and university of applied sciences in the Netherlands were used. Receiver operating characteristic (ROC) curves, sensitivity, specificity, and positive and negative predictive values for different cutoff scores of AUDIT-C were calculated for the total sample and for subgroups stratified by age, gender, and educational level. AUDIT-score ≥11 was used as the criterion of hazardous and harmful drinking. RESULTS: Twenty percent of students were hazardous and harmful drinkers. The area under the ROC curve was 0.922 (95% CI 0.914-0.930). At an AUDIT-C cutoff score of ≥7, sensitivity and specificity were both >80%, while other cutoffs showed less balanced results. A cutoff of ≥8 performed better among males, but for other subgroups ≥7 was most suitable. CONCLUSION: AUDIT-C seems valid in identifying hazardous and harmful drinking students, with suggested optimal cutoffs 7 (females) or 8 (males). However, considerations regarding avoiding false-positives versus false-negatives, in relation to the type of intervention following screening, could lead to selecting different cutoffs.

Examining the effectiveness of a web-based intervention for symptoms of depression and anxiety in college students: study protocol of a randomised controlled trial.

INTRODUCTION: The college years are a peak period for the onset of common mental disorders. Poor mental health is associated with low academic attainment, physical, interpersonal and cognitive impairments. Universities can use online approaches to screen students for mental disorders and treat those in need. The present study aims to assess the effectiveness of a guided web-based transdiagnostic individually tailored intervention to treat students with symptoms of depression and/or anxiety. METHODS: and analysis : The present study is a randomised controlled trial. Participants are Dutch college students (≥18 years) with mild to moderate depression and/or anxiety symptoms. The intervention is a guided web-based transdiagnostic individually tailored intervention that targets symptoms of depression and/or anxiety. The intervention consists of seven online sessions with a duration ranging from 4 to 7 weeks depending on individual progress. A booster session is administered 4 weeks after the completion of the seventh session. Primary outcome measures are the Patient Health Questionnaire for depression and the Generalised Anxiety Disorder 7-item scale for anxiety. These scales are administered at screening, post-treatment and follow-up assessments (6 and 12 months post-randomisation). : E THICS AND DISSEMINATION: The Medical Ethics Committee of the Vrije Universiteit Medical Centre has approved the protocol (registration number 2016.583, A2017.362andA2018.421). Results of the trial will be published in a peer-reviewed journal. TRIAL REGISTRATION NUMBER: NTR6797; Pre-results.

End-user involvement in developing and field testing an online contraceptive decision aid.

OBJECTIVES: Decision aids in the field of healthcare contribute to informed decision making. To increase the usefulness and effectiveness of decision aids, it is important to involve end-users in the development of these tools. This article reports on the development of an online contraceptive decision aid. METHODS: An exploratory, qualitative study was conducted in the Netherlands between 2014 and 2016. The development process of the decision aid consisted of six steps and included a needs assessment and field test. Interviews were conducted with 17 female students. RESULTS: The needs assessment provided information on the preferred content and structure of a contraceptive decision aid and guided the development of the online contraceptive decision aid prototype. Participants had an overall positive impression of the decision aid prototype during the field test. Minor revisions were made based on participants' feedback. Participants expected that the decision aid would positively contribute to decision making by increasing knowledge and awareness regarding the available contraceptive methods and their features and attributes, and by opening up to other options than the known methods. CONCLUSION: The developed contraceptive decision aid can contribute to better informed decision making and consultation preparation. Involving end-users in development seems valuable to adapt decision aids to specific needs and to identify in what way a decision aid influences decision making.

Better informed is better decided: Addressing the risks of delaying childbearing for female higher educational students.

Objective Delayed childbearing has gradually started to become the norm for higher educational students, with possible increased future fertility risks and psychological distress as a consequence. What do female students expect from their general practitioners (GP) and other health care providers (HCPs) with regard to delaying childbearing? We also looked into indicators that can be used by HCPs to detect female university students who have issues regarding delayed childbearing. Methods Cross sectional study: A total of 398 female students (mean age 21.83; SD = 2.4) from at least three different universities completed the questionnaire (distributed through the Internet and at a students' health service). Potential predictors for having an issue regarding delayed childbearing were assessed with multivariate logistic regression. Results Thirteen percent of 398 female students experienced being childless as more or less problematic. Forty-nine percent thinks having children deserves more attention and 33% of the students expect attention from their GP regarding a possible desire to have children during contraceptive consultations. Four factors demonstrated significant associations with having an issue concerning delayed childbearing: age (these issues also occur in younger students), worrying about fertility, not opting for an abortion if pregnant and dissatisfaction with current contraceptive use. Conclusion HCPs should discuss delayed childbearing with female students, addressing both the decrease of fertility after a certain age (30), the limited range of fertility methods, and the possible negative physical and psychological consequences of postponement. These elements could be included into programmes of sexual and reproductive health training and into pre-conception care and pre-conception education.

Learning Climate Perceptions as a Determinant of Employability: An Empirical Study Among European ICT Professionals.

This study investigated the role of age in the relationship between perceptions of learning climate and self- and supervisor-rated employability among European Information and Communication Technology (ICT) professionals. The psychological climate for learning was operationalized by three indicators, namely the perceptions that employees have of the learning value of their job, supervisor support for learning, and the organizational support for learning. As hypothesized, a Structural Equation Model demonstrated that the relationship between age and perceptions of learning climate was negative. The model also showed a strong positive relationship between learning climate and self-reported and supervisor-rated employability. Furthermore, learning climate perceptions appeared important for employability irrespective of life or career stage. An explorative bootstrapping-based test suggested that older workers with managerial responsibilities profit less from psychological learning climate for self-reported and supervisor-rated employability than older workers at non-managerial levels. These findings have important implications for human resource practices that aim to increase lifelong employability.