Avoidance of negative emotional contrasts as a diagnostic feature of OCD: A receiver-operator characteristic curve analysis of the contrast avoidance questionnaires.

BACKGROUND: Models focusing on transdiagnostic mechanisms, such as repetitive negative thinking, may be of additive value to existing conceptualizations of obsessive-compulsive disorder (OCD). One such model is the Contrast Avoidance Model (CAM), which posits that individuals with generalized anxiety disorder (GAD) are sensitive to sharp increases in emotions, and use worry to maintain heightened states of negative arousal to avoid these emotional shifts. The current study used receiver operator characteristic (ROC) curve analyses to examine the predictive utility of two contrast avoidance questionnaires in detecting probable OCD. METHODS: Undergraduate students with probable OCD (N = 431) and a non-OCD group (N = 433) completed measures of contrast avoidance (CAQ-GE and CAQW) and obsessive-compulsive symptoms. RESULTS: Results showed significant differences in total CAQ-GE and CAQ-W scores between the probable OCD group and the non-OCD group. Area under the curve values demonstrated excellent accuracy in predicting probable OCD on the CAQ-GE and CAQW, (0.87 and 0.88, respectively). Correlation analyses revealed that certain OC symptom dimensions (e.g., Unacceptable Thoughts; Responsibility for Harm) were more closely associated with the CAQ-GE and the CAQ-W relative to other symptom dimensions. LIMITATIONS: The study had a cross-sectional design and relied on an undergraduate sample. CONCLUSION: Identifying shared mechanisms across OCD and its comorbidities is an important and novel approach to understanding the etiology and maintenance of symptoms.

Self-esteem mediates child abuse predicting adulthood anxiety, depression, and substance use symptoms 18 years later.

According to biopsychosocial models, experiencing parental child abuse increases susceptibility to adulthood psychopathology. However, there is a paucity of studies examining potential mechanisms of the parental child abuse and adulthood psychopathology relationship. The purpose of the current study was to determine if Time 2 (T2) trait self-esteem mediated levels of Time 1 (T1) retrospectively recalled parental child abuse predicting (T3) past-year major depressive disorder (MDD), generalized anxiety disorder (GAD), panic disorder (PD), alcohol use disorder (AUD), and substance use disorder (SUD) symptoms. The 18-year Midlife Development in the United States (MIDUS) study included participants (N = 3294; T1 average age of 45.62 years) assessed at three different time points, each spaced about nine years apart. We performed structural equation mediation modeling analyses to determine how maternal and paternal child abuse at T1 would independently predict T3 MDD, GAD, PD, AUD, and SUD symptoms. We also examined whether T2 self-esteem mediated these relations while controlling for adulthood T1 psychopathology symptoms, demographics, socioeconomic status, somatic symptoms, and parental psychopathology. Consistent with our hypotheses, higher T1 maternal and paternal abuse predicted increased T3 GAD, PD, AUD, and SUD symptoms via diminished T2 self-esteem as the mediator (% proportion mediated = 33.0-100). However, childhood paternal, but not maternal, abuse predicted adulthood MDD symptoms via reduced self-esteem. Findings remained after adjusting for covariates. Our research highlights the importance of understanding retrospectively recalled parental child abuse-adulthood psychopathology relations, their potential mechanisms, and self-esteem as a malleable treatment target for adults with heightened child abuse.

The relationship of race, ethnicity, gender identity, sex assigned at birth, sexual orientation, parental education, financial hardship and comorbid mental disorders with quality of life in college students with anxiety, depression or eating disorders.

BACKGROUND: Previous studies showed that comorbidity and demographic factors added to burden on health-related quality of life (HRQoL). Only one study explored the relationship between HRQoL and comorbidity in college students with mental disorders, leaving generalizability of findings uncertain. Less is known about the association of demographics on HRQoL. This study investigated HRQoL based on demographics and comorbidity among college students with mental disorders. METHODS: Participants were students (N = 5535) across 26 U.S. colleges and universities who met criteria for depression, generalized anxiety, panic, social anxiety, post-traumatic stress, or eating disorders based on self-report measures. ANOVA and linear regressions were conducted. RESULTS: Overall, female, minoritized (gender, sexual orientation, race, or ethnicity), and lower socioeconomic status students reported lower HRQoL than male, heterosexual, White, non-Hispanic, and higher socioeconomic status peers. After accounting for comorbidity, differences in physical HRQoL based on sex assigned at birth and gender were no longer significant. For mental HRQoL, only gender and sexual orientation remained significant. A greater number of comorbidities was associated with lower HRQoL regardless of demographic group. LIMITATIONS: The non-experimental design limits causal inference. The study focused on univariable associations without examining potential interactions between demographic factors. Future research should explore structural factors like discrimination. CONCLUSION: Results suggested that increased comorbidities placed an additional burden on HRQoL and that certain demographic groups were more vulnerable to HRQoL impairment among students with mental disorders. Findings suggest the need for prevention of disorders and their comorbidity and implementing tailored interventions for specific student subgroups with increased vulnerability.

Effects of Chatbot Components to Facilitate Mental Health Services Use in Individuals With Eating Disorders Following Online Screening: An Optimization Randomized Controlled Trial.

OBJECTIVE: Few individuals with eating disorders (EDs) receive treatment. Innovations are needed to identify individuals with EDs and address care barriers. We developed a chatbot for promoting services uptake that could be paired with online screening. However, it is not yet known which components drive effects. This study estimated individual and combined contributions of four chatbot components on mental health services use (primary), chatbot helpfulness, and attitudes toward changing eating/shape/weight concerns ("change attitudes," with higher scores indicating greater importance/readiness). METHODS: Two hundred five individuals screening with an ED but not in treatment were randomized in an optimization randomized controlled trial to receive up to four chatbot components: psychoeducation, motivational interviewing, personalized service recommendations, and repeated administration (follow-up check-ins/reminders). Assessments were at baseline and 2, 6, and 14 weeks. RESULTS: Participants who received repeated administration were more likely to report mental health services use, with no significant effects of other components on services use. Repeated administration slowed the decline in change attitudes participants experienced over time. Participants who received motivational interviewing found the chatbot more helpful, but this component was also associated with larger declines in change attitudes. Participants who received personalized recommendations found the chatbot more helpful, and receiving this component on its own was associated with the most favorable change attitude time trend. Psychoeducation showed no effects. DISCUSSION: Results indicated important effects of components on outcomes; findings will be used to finalize decision making about the optimized intervention package. The chatbot shows high potential for addressing the treatment gap for EDs.

Treatment condition as a moderator and change in trait mindfulness as a mediator of a brief mindfulness ecological momentary intervention for generalized anxiety disorder.

BACKGROUND: Theories propose that judgment of and reactivity to inner experiences are mediators of the effect of mindfulness-based interventions on generalized anxiety disorder (GAD). However, no study has tested such theories using brief, mindfulness ecological momentary intervention (MEMI). We thus tested these theories using a 14-day MEMI versus self-monitoring app (SM) control for GAD. METHODS: Participants (N = 110) completed self-reports of trait mindfulness (Five Facet Mindfulness Questionnaire), GAD severity (GAD-Questionnaire-IV), and trait perseverative cognitions (Perseverative Cognitions Questionnaire) at prerandomization, posttreatment, and 1-month follow-up (1MFU). Counterfactual mediation analyses with temporal precedence were conducted. RESULTS: Improvement in pre-post mindfulness domains (acceptance of emotions, describing feelings accurately, acting with awareness, judgment of inner experience, and reactivity to inner experience) predicted pre-1MFU reduction in GAD severity and pre-1MFU reduction in trait perseverative cognitions from MEMI but not SM. MEMI reduced pre-post reactivity to inner experiences (but not other mindfulness domains) significantly more than SM. Only reduced pre-post reactivity significantly mediated stronger efficacy of MEMI over SM on pre-1MFU reductions in GAD severity (indirect effect: ß = -2.970 [-5.034, -0.904], p = .008; b path: ß = -3.313 [-6.350, -0.276], p = .033; percentage mediated: 30.5%) and trait perseverative cognitions (indirect effect: ß = -0.153 [-0.254, -0.044], p = .008; b path: ß = -0.145 [-0.260, -0.030], p = .014; percentage mediated: 42.7%). Other trait mindfulness domains were non-significant mediators. CONCLUSIONS: Reactivity to inner experience might be a mindfulness-based intervention change mechanism and should be targeted to optimize brief MEMIs for GAD.

Racial and Ethnic Disparities in Barriers to Mental Health Treatment Among U.S. College Students.

OBJECTIVE: Using a sample of U.S. college students, the authors evaluated whether barriers to mental health treatment varied by race and ethnicity. METHODS: Data were drawn from a large multicampus study conducted across 26 U.S. colleges and universities. The sample (N=5,841) included students who screened positive for at least one mental disorder and who were not currently receiving psychotherapy. RESULTS: The most prevalent barriers to treatment across the sample were a preference to deal with issues on one's own, lack of time, and financial difficulties. Black and Hispanic/Latine students reported a greater willingness to seek treatment than did White students. However, Black and Hispanic/Latine students faced more financial barriers to treatment, and Hispanic/Latine students also reported lower perceived importance of mental health. Asian American students also reported financial barriers and preferred to handle their issues on their own or with support from family or friends and had lower readiness, willingness, and intentionality to seek help than did White students. CONCLUSIONS: Disparities in unmet treatment needs may arise from both distinct and common barriers and point to the potential benefits of tailored interventions to address the specific needs of students of color from various racial and ethnic backgrounds. The findings further underscore the pressing need for low-cost and brief treatment models that can be used or accessed independently to address the most prevalent barriers for students.

Examining the Effects of a Brief, Fully Self-Guided Mindfulness Ecological Momentary Intervention on Empathy and Theory-of-Mind for Generalized Anxiety Disorder: Randomized Controlled Trial.

BACKGROUND: The utility of brief mindfulness ecological momentary interventions (EMIs) to improve empathy and theory-of-mind has been underinvestigated, particularly in generalized anxiety disorder (GAD). OBJECTIVE: In this randomized controlled trial, we aimed to examine the efficacy of a 14-day, fully self-guided, mindfulness EMI on the empathy and theory-of-mind domains for GAD. METHODS: Adults (aged ≥18 y) diagnosed with GAD were randomized to a mindfulness EMI (68/110, 61.8%) or self-monitoring app (42/110, 38.2%) arm. They completed the Interpersonal Reactivity Index self-report empathy measure and theory-of-mind test (Bell-Lysaker Emotion Recognition Task) at prerandomization, postintervention, and 1-month follow-up (1MFU) time points. Hierarchical linear modeling was conducted with the intent-to-treat principle to determine prerandomization to postintervention (pre-post intervention) and prerandomization to 1MFU (pre-1MFU) changes, comparing the mindfulness EMI to self-monitoring. RESULTS: Observed effects were generally stronger from pre-1MFU than from pre-post intervention time points. From pre-post intervention time points, the mindfulness EMI was more efficacious than the self-monitoring app on fantasy (the ability to imagine being in others' shoes; between-intervention effect size: Cohen d=0.26, P=.007; within-intervention effect size: Cohen d=0.22, P=.02 for the mindfulness EMI and Cohen d=-0.16, P=.10 for the self-monitoring app). From pre-1MFU time points, the mindfulness EMI, but not the self-monitoring app, improved theory-of-mind (a window into others' thoughts and intentions through abstract, propositional knowledge about their mental states, encompassing the ability to decipher social cues) and the fantasy, personal distress (stress when witnessing others' negative experiences), and perspective-taking (understanding others' perspective) empathy domains. The effect sizes were small to moderate (Cohen d=0.15-0.36; P<.001 to P=.01) for significant between-intervention effects from pre-1MFU time points. Furthermore, the within-intervention effect sizes for these significant outcomes were stronger for the mindfulness EMI (Cohen d=0.30-0.43; P<.001 to P=.03) than the self-monitoring app (Cohen d=-0.12 to 0.21; P=.001 to P>.99) from pre-1MFU time points. No between-intervention and within-intervention effects on empathic concern (feeling affection, compassion, and care when observing others in distress, primarily attending to their emotional well-being) were observed from pre-post intervention and pre-1MFU time points. CONCLUSIONS: The brief mindfulness EMI improved specific domains of empathy (eg, fantasy, personal distress, and perspective-taking) and theory-of-mind with small to moderate effect sizes in persons with GAD. Higher-intensity, self-guided or coach-facilitated, multicomponent mindfulness EMIs targeting the optimization of social relationships are likely necessary to improve the empathic concern domain in this population. TRIAL REGISTRATION: ClinicalTrials.gov NCT04846777; https://clinicaltrials.gov/study/NCT04846777.

The therapy relationship, digital interventions, and their interaction.

This article serves as an introduction to a special section devoted to the psychotherapy relationship and digital interventions. The nature of the therapy relationship is explored, and the question is raised as to whether machines can have relationships with their users. Finally, an overview and synthesis of the articles in the special section is provided.

Is a brief mindfulness ecological momentary intervention more efficacious than a self-monitoring app for social anxiety disorder? A randomized controlled trial.

Despite their proliferation, limited knowledge exists regarding possible benefits of brief mindfulness ecological momentary interventions (MEMIs) for social anxiety disorder (SAD). Propositions that MEMIs could alleviate SAD symptoms and related clinical outcomes remain untested. This trial evaluated a 14-day MEMI for SAD. Participants with self-reported SAD were randomized to MEMI (n = 96) or self-monitoring app (SM; n = 95). Whereas MEMI instructed mindfulness exercises, SM prompted only self-monitoring five times daily for 14 days. Participants completed state-level self-reports of depression, anxiety, and mindfulness pre-post-mindfulness practice and SAD symptoms, worry, depression severity, repetitive negative thinking, and trait mindfulness at pre-randomization, post-intervention, and 1-month follow-up (1MFU). Hierarchical linear modeling was conducted. The MEMI yielded statistically significantly larger improvements in momentary depression, anxiety, and mindfulness (Cohen's d = -0.10-0.11). Although no between-group effects emerged in alleviating SAD fear and avoidance, excessive worry, depression severity, repetitive negative thinking, and trait mindfulness (-0.13-0.15), within-group effects were significantly small-to-large from pre-post and pre-1MFU (-4.62-0.67). A significant reduction in depression severity occurred in MEMI (-0.63--0.60) but not SM (-0.31--0.29). Brief MEMI and SM yielded nondifferent sustained effects on SAD, comorbid symptoms, and risk factors, highlighting its potential value within stepped-care delivery settings.

Savoring changes novel positive mindset targets of GAD treatment: Optimism, prioritizing positivity, kill-joy thinking, and worry mediation.

This study analyzed effects of savoring on unstudied positive mindset targets of generalized anxiety disorder (GAD) treatment (ClinicalTrials.gov: NCT05040061). 85 students with GAD were randomly assigned to one of two ecological momentary interventions (EMIs) on smartphone for seven days. The SkillJoy EMI promoted practices for savoring positive emotions. An active control EMI mirrored SkillJoy, yet did not include savoring or positive emotion. Optimism, worry, kill-joy thinking (lessening positive emotion with cognition), and prioritization of positive emotion activities and goals were assessed at pre-trial, eighth-day, post-trial, and 30th-day follow-up. Savoring was assessed pre-trial and fifth-day mid-trial. Longitudinal linear mixed models and simple slope analyses examined change between and within conditions. Bias-corrected bootstrapping path analysis examined mediation of worry change by increased savoring. SkillJoy led to significantly greater increases in both optimism and prioritizing positivity than the control from pre-trial to post-trial and pre-trial to follow-up. Both interventions significantly reduced kill-joy thinking at both timepoints with Skilljoy leading to marginally greater change at post-trial. Pre- to mid-trial increases in savoring mediated the relationships between treatment condition and reductions in worry at both post-trial and follow-up.

Machine Learning and Bayesian Network Analyses Identifies Psychiatric Disorders and Symptom Associations with Insomnia in a national sample of 31,285 Treatment-Seeking College Students.

Background: A better understanding of the structure of relations among insomnia and anxiety, mood, eating, and alcohol-use disorders is needed, given its prevalence among young adults. Supervised machine learning provides the ability to evaluate the discriminative accuracy of psychiatric disorders associated with insomnia. Combined with Bayesian network analysis, the directionality between symptoms and their associations may be illuminated. Methods: The current exploratory analyses utilized a national sample of college students across 26 U.S. colleges and universities collected during population-level screening before entering a randomized controlled trial. Firstly, an elastic net regularization model was trained to predict, via repeated 10-fold cross-validation, which psychiatric disorders were associated with insomnia severity. Seven disorders were included: major depressive disorder, generalized anxiety disorder, social anxiety disorder, panic disorder, post-traumatic stress disorder, anorexia nervosa, and alcohol use disorder. Secondly, using a Bayesian network approach, completed partially directed acyclic graphs (CPDAG) built on training and holdout samples were computed via a Bayesian hill-climbing algorithm to determine symptom-level interactions of disorders most associated with insomnia [based on SHAP (SHapley Additive exPlanations) values)] and were evaluated for stability across networks. Results: Of 31,285 participants, 20,597 were women (65.8%); mean (standard deviation) age was 22.96 (4.52) years. The elastic net model demonstrated clinical significance in predicting insomnia severity in the training sample [R2 = .449 (.016); RMSE = 5.00 [.081]), with comparable performance in accounting for variance explained in the holdout sample [R2 = .33; RMSE = 5.47). SHAP indicated the presence of any psychiatric disorder was associated with higher insomnia severity, with major depressive disorder demonstrated to be the most associated disorder. CPDAGs showed excellent fit in the holdout sample and suggested that depressed mood, fatigue, and self-esteem were the most important depression symptoms that presupposed insomnia. Conclusion: These findings offer insights into associations between psychiatric disorders and insomnia among college students and encourage future investigation into the potential direction of causality between insomnia and major depressive disorder. Trial registration: Trial may be found on the National Institute of Health RePORTER website: Project Number: R01MH115128-05.

Nurturing innovation, catalyzing change: Honoring the legacy of Dr. C. Barr Taylor in the eating disorders field.

This Virtual Issue of the International Journal of Eating Disorders honors the legacy of the late Dr. C. Barr Taylor in the eating disorders (EDs) field. For decades, Dr. Taylor led the way in not only conducting the research needed to achieve the ultimate goal of making affordable, accessible, and evidence-based care for EDs available to all, but also nurturing the next generation of scientific leaders and innovators. Articles included in this Virtual Issue are a selection of Dr. Taylor's published works in the Journal in the past decade, spanning original research, ideas worth researching, commentaries, and a systematic review. We hope this Virtual Issue will inspire the next generation of research in EDs, and equally, if not more importantly, the next generation of young investigators in the field. We urge the field to continue and build upon Dr. Taylor's vision-to increase access to targeted prevention and intervention for EDs in innovative and forward-thinking ways-while embracing his unique and powerful mentorship style to lift up early career investigators and create a community of leaders to address and solve our field's biggest challenges.

Introduction to a special issue on the contrast avoidance model.

The current paper introduces the special issue on the Contrast Avoidance Model. The Contrast Avoidance Mmodel theorizes that chronic worriers are afraid of a sharp increase in negative emotion and/or sharp reduction in positive emotion (labeled negative emotional contrasts; NECs). They thus use perseverative thought as means to create and sustain negative emotion to prevent NECs if they were to experience negative events. Further, these individuals are uncomfortable with sustained positive emotion because it leaves them vulnerable to NECs. At the same time, worry increases the probability of positive emotional contrasts (PECs), or sharp increases in positive emotion or decreases in negative emotion when things turn out better than expected or positive events are experienced. Therefore, these individuals generate negative emotion via perseverative thought as a way to avoid NECs and increase the likelihood of PECs. The current special issue provides novel research on the model.

The Contrast Avoidance Model: Conclusion and synthesis of new research in the special issue.

In this special series, new research on the Contrast Avoidance Model (CAM) was presented, including studies on the role of CAM in the maintenance of chronic worry, the incremental validity of CAM, CAM as a mediator of the association between generalized anxiety disorder (GAD) and other variables, CAM as transdiagnostic, and interpersonal behaviors as a means to avoid negative emotional contrasts (NECs). Furthermore, the role of perseverative thought in relation to positive emotional contrasts (PECs) was explored. Studies indicated that higher worry was positively and negatively reinforced, a factor that is likely to contribute to the maintenance of GAD. Further, research demonstrated that CAM contributed unique variance to understanding GAD above and beyond other variables associated with GAD, such as intolerance of uncertainty and negative problem orientation. Additional research revealed the transdiagnostic nature of contrast avoidance, as well as the association between contrast avoidance and problem-solving deficits. In addition, both worry and rumination increased the likelihood of PECs. Further, data suggested that anxious individuals may use interpersonal strategies to avoid NECs. Finally, savoring positive emotions was found to reduce contrast avoidance, providing a novel intervention strategy to address contrast avoidance in individuals with GAD.

Which client with generalized anxiety disorder benefits from a mindfulness ecological momentary intervention versus a self-monitoring app? Developing a multivariable machine learning predictive model.

Precision medicine methods (machine learning; ML) can identify which clients with generalized anxiety disorder (GAD) benefit from mindfulness ecological momentary intervention (MEMI) vs. self-monitoring app (SM). We used randomized controlled trial data of MEMI vs. SM for GAD (N = 110) and tested three ML models to predict one-month follow-up reliable improvement in GAD severity, perseverative cognitions (PC), trait mindfulness (TM), and executive function (EF). Eleven baseline predictors were tested regarding differential reliable change from MEMI vs. SM (age, sex, race, EF errors, inhibitory dyscontrol, set-shifting deficits, verbal fluency, working memory, GAD severity, TM, PC). The final top five prescriptive predictor models of all outcomes performed well (AUC = .752 .886). The following variables predicted better outcome from MEMI vs. SM: Higher GAD severity predicted more GAD improvement but less EF improvement. Elevated PC, inhibitory dyscontrol, and verbal dysfluency predicted better improvement in most outcomes. Greater set-shifting and TM predicted stronger improvements in GAD symptoms and TM. Older age predicted more alleviation of GAD and PC symptoms. Women exhibited more enhancements in trait mindfulness and EF than men. White individuals benefitted more than non-White. PC, TM, EF, and sociodemographic data might help predictive models optimize intervention selection for GAD.

Elevated depression and anxiety predict future patterns of individualistic and collectivistic cultural values: A cross-lagged longitudinal network analysis.

BACKGROUND: Specific components of independent and interdependent self-construal have been associated with psychopathology. However, most studies on this topic have been cross-sectional, precluding causal inferences. We used contemporaneous and temporal cross-lagged network analysis to establish weak causal effects in understanding the association between self-construal and psychopathology components. METHODS: Middle-aged and older community-dwelling adults (n = 3294) participated in the Midlife Development in the United States study across two time-points, spaced nine years apart. Six self-construal (interdependence: connection to others, commitment to others, receptiveness to influence; independence: behavioral consistency, sense of difference from others, self-reliance) and three psychopathology nodes (major depressive disorder (MDD), generalized anxiety disorder (GAD), and panic disorder (PD) symptom severity) were examined. All network analyses controlled for age, sex, race, and number of chronic illnesses as covariates. RESULTS: Contemporaneous and temporal networks yielded relations between elevated MDD and PD and increased receptiveness to influence. Heightened GAD symptom severity was associated with future increased difference from others and decreased connection to others, commitment to others, and receptiveness to influence. Higher MDD, GAD, and PD severity were associated with future lower self-reliance. Network comparison tests revealed no consistent network differences across sex and race. LIMITATIONS: DSM-III-R measures of MDD, GAD, and PD were used. Results may not generalize to culturally diverse racial groups. CONCLUSIONS: Changes in self-construal may result from increased MDD, GAD, and PD severity. Findings suggest the importance of targeting common mental health symptoms to positively influence how individuals view the self and others in various social contexts.

Internalizing psychopathology and its links to suicidal ideation, dysfunctional attitudes, and help-seeking readiness in a national sample of college students.

BACKGROUND: Recent evidence suggests that multiple emotional disorders may be better assessed using dimensional models of psychopathology. The current study utilized a cross-sectional population survey of college students (N = 8613 participants) to examine the extent to which broad psychopathology factors accounted for specific associations between emotional problems and clinical and behavioral validators: suicidality, dysfunctional attitudes, and treatment seeking. METHODS: Confirmatory factor models were estimated to identify the best structure of psychopathology. Models were then estimated to examine the broad and specific associations between each psychopathology indicator and the clinical and behavioral validators. RESULTS: The hierarchical model of psychopathology with internalizing problems at the top, fear, and distress at the second level, and five specific symptom dimensions at the third level evidenced the best fit. The associations between symptom indicators of psychopathology and clinical and behavioral validators were relatively small and inconsistent. Instead, much of the association between clinical and behavioral validators and emotional problems operated at a higher-order level. LIMITATIONS: The cross-sectional nature of the survey precludes the ability to make conclusions regarding causality. CONCLUSIONS: Researchers should focus on investigating the shared or common components across emotional disorders, particularly concerning individuals presenting with higher rates of suicidal ideation dysfunctional attitudes, and help-seeking behavior. Using higher-order dimensions of psychopathology could simplify the complex presentation of multiple co-occurring disorders and suggest valid constructs for future investigations.

Training, supervision, and experience of coaches offering digital guided self-help for mental health concerns.

Accessible, low-cost intervention options are necessary to address the rise in mental health problems among college students. Digital guided self-help, or coached, programs have been developed to provide such services, with many commercially available. As such, there are a large and growing number of individuals coaching these programs. However, an unmet need is to evaluate and assess best practices for training and supervising individuals in these positions. To this end, we describe how we recruited, trained, and supervised coaches as part of a large randomized controlled trial using a widely available digital commercial platform. Coaches were trained to provide digital guided self-help for depression, anxiety, and/or eating disorders for college students. Coaches initially attended three live training sessions over 2-3 weeks, viewed multiple training videos, and read a detailed coaching manual developed by our team. Thereafter, they attended weekly supervision. Following their term, coaches completed an exit survey to assess their supervision and training experiences. A total of 37 of 70 (53%) graduate-level student coaches completed the survey. The experience was reported as very positive (95%). In particular, the majority reported feeling well prepared, more confident, and felt they had developed useful skills for their own practice.

Using Social Influence Strategies to Improve Rates of Online Mental Health Survey Participation: Results from Two Experiments.

Online surveys are routinely used in mental health screening and treatment follow-up assessment, though they can yield low response rates. We tested the effects of social psychology-informed influence strategies for increasing rates of participation in an online mental health screening survey (Experiment 1) and a treatment follow-up survey (Experiment 2). In Experiment 1 (N = 45,569), embedding one or any combination of three motivational appeals (personal gain, community gain, and inclusivity) in screening survey invitation and reminder emails unexpectedly led to lower rates of survey participation compared to when the appeals were not included (overall participation rate = 12.02%, ORs = 0.75 to 0.97, ps < .001). In Experiment 2 (N = 873), a video of a TikTok influencer encouraging survey participation embedded in treatment follow-up survey invitation and reminder emails did not significantly affect survey completion compared to a humorous gif unrelated to survey participation (overall participation rate = 47.88%, OR = 1.18, p = .200). Moderator analyses revealed that the video led to higher rates of participation than the gif among White participants (OR = 1.39, p = .031) and non-Hispanic participants (OR = 1.35, p = .029) only, whereas the video led to lower rates of participation than the gif among students who did not disclose their race (OR = 0.31, p = .010). Results suggested that efforts to improve online survey participation should be balanced with possible downsides (e.g., added email length) and should be evaluated for differential performance among population subgroups prior to widespread implementation.