Latent Profiles of Cognitive and Interpersonal Risk Factors for Adolescent Depression and Implications for Personalized Treatment

Randomised controlled trial of LGBTQ-affirmative cognitive-behavioural therapy for sexual minority women's minority stress, mental health and hazardous drinking: Project EQuIP protocol

INTRODUCTION

Sexual minority women represent one of the highest-risk groups for hazardous drinking and comorbid mental health problems (eg, depression, anxiety). Research has identified cognitive (eg, expectations of rejection), affective (eg, emotion dysregulation) and behavioural (eg, avoidant coping) pathways through which minority stress (eg, stigma) places sexual minority women at disproportionate risk of hazardous drinking and comorbid depression/anxiety; yet no evidence-based interventions have been tested to address these pathways in this population. This article describes the design of Project EQuIP (Empowering Queer Identities in Psychotherapy), a randomised controlled trial of a transdiagnostic lesbian, gay, bisexual, transgender, queer (LGBTQ)-affirmative cognitive-behavioural therapy intervention (CBT) designed to improve minority stress coping and reduce sexual minority women's hazardous drinking and mental health comorbidities.

METHODS AND ANALYSIS

This two-arm randomised controlled trial, funded by the National Institute on Alcohol Abuse and Alcoholism, has two objectives: (1) test the efficacy of 10 sessions of LGBTQ-affirmative CBT compared with 10 sessions of supportive counselling for sexual minority women in the community (anticipated n=450) who report hazardous alcohol use and meet criteria for a Diagnostic and Statistical Manual of Mental Disorders - 5 diagnosis of a depression or anxiety disorder and (2) examine psychosocial mechanisms and demographic factors as potential mediators and moderators, respectively, of the treatment-outcome relationship. This study's primary outcome is change in the proportion of heavy drinking days. Secondary outcomes are changes in depressive and anxious symptoms.

ETHICS AND DISSEMINATION

The Yale University Human Subjects Committee reviewed and approved the research protocol. Results of this study will be disseminated to researchers and practitioners through peer-review publications and conference presentations, and directly to study participants.

TRIAL REGISTRATION NUMBER

Registered on 17 August 2022 (ClinicalTrials.gov identifier: NCT05509166).

Sub-groups of emotion dysregulation in youth with nonsuicidal self-injury: latent profile analysis of a randomized controlled trial

Psychological treatments targeting emotion dysregulation in adolescents reduce nonsuicidal self-injury (NSSI) but predicting treatment outcome remains difficult. Identifying sub-groups based on repeated measurements of emotion dysregulation pre-treatment may guide personalized treatment recommendations. We used data from a recent trial evaluating internet-delivered emotion regulation therapy for adolescents with NSSI (n = 138). Latent profile analysis was used to identify sub-groups based on pre-treatment responses on the 16-item version of the Difficulties in Emotion Regulation Scale. The primary outcome was self-rated NSSI frequency during treatment, and secondary outcome was the proportion of participants with no NSSI 1-month post-treatment. Three sub-groups of emotion dysregulation were identified: low variability and low mean (Group 1), low variability and high mean (Group 2), and high variability and low mean (Group 3). Sub-groups did not differ in NSSI frequency during treatment (Group 2 IRR = 1.06 [95% CI 0.49-2.29], p = .88; Group 3 IRR = 1.22 [95% CI 0.31-4.76], p = .77). However, more participants in Group 1 compared to Group 2 abstained from NSSI at 1-month post-treatment (OR = 3.63 [95% CI 1.16-11.33], p = 0.01). Latent profile analysis identified sub-groups predictive of NSSI absence post-treatment, demonstrating clinical utility.

Association between health literacy, depressive symptoms, and suicide-related outcomes in adolescents: A longitudinal study

BACKGROUND

Health literacy is associated with mental disorders in adolescents. This study aimed to examine the associations between health literacy, depressive symptoms, and suicide-related outcomes.

METHODS

In terms of participants, 937 middle school students in Shenyang City, China were enrolled between December 2018 and December 2019 to assess health literacy, depressive symptoms and suicide-related outcomes. Multiple logistic regression models were used to examine possible associations.

RESULTS

Adequate health literacy was negatively associated with 12-month follow-up depressive symptoms (RR = 0.115, 95 % CI: 0.032-0.411) and suicide-related outcomes (RR = 0.230, 95 % CI: 0.085-0.618) in females. Meanwhile, in females, interpersonal relationship, stress management, and self-actualization were negatively related to depressive symptoms, while physical activities, self-actualization, and health awareness are protective factors for suicide-related outcomes (P < 0.05 for each).

LIMITATIONS

Recall and reporting bias might be inevitable for self-reported data, and due to the small sample size, the predictive effect may not be very significant.

CONCLUSIONS

These findings suggest that adequate health literacy may serve as a critical and independent protective factor for poor long-term mental health outcomes and that the predictive effect is more pronounced in female students. Public health efforts to enhance health literacy levels are required to maintain and improve adolescents' mental health outcomes.

Predicting non-response to multimodal day clinic treatment in severely impaired depressed patients: a machine learning approach

A considerable number of depressed patients do not respond to treatment. Accurate prediction of non-response to routine clinical care may help in treatment planning and improve results. A longitudinal sample of N = 239 depressed patients was assessed at admission to multi-modal day clinic treatment, after six weeks, and at discharge. First, patient’s treatment response was modelled by identifying longitudinal trajectories using the Hamilton Depression Rating Scale (HDRS-17). Then, individual items of the HDRS-17 at admission as well as individual patient characteristics were entered as predictors of response/non-response trajectories into the binary classification model (eXtremeGradient Boosting; XGBoost). The model was evaluated on a hold-out set and explained in human-interpretable form by SHapley Additive explanation (SHAP) values. The prediction model yielded a multi-class AUC = 0.80 in the hold-out set. The predictive power for the binary classification yielded an AUC = 0.83 (sensitivity = .80, specificity = .77). Most relevant predictors for non-response were insomnia symptoms, younger age, anxiety symptoms, depressed mood, being unemployed, suicidal ideation and somatic symptoms of depressive disorder. Non-responders to routine treatment for depression can be identified and screened for potential next-generation treatments. Such predictors may help personalize treatment and improve treatment response.

Examining the dimensionality of anxiety and depression: A latent profile approach to modeling transdiagnostic features

Depression and anxiety are highly prevalent psychological disorders; our understanding of these conditions remains limited. Efforts to explain anxiety and depression have been constrained in part by binary classification systems. Dimensional approaches to understanding psychopathology may be more effective. The present study used latent profile analysis (LPA) to assess whether unique subgroups exist within a tri-level model of anxiety and depression. Participants (N=627) completed self-report questionnaires from which tri-level model factors were derived. LPA was conducted on those factors. A 4-profile model offered optimal fit to the data at baseline. This model was replicated at a second time point. Models derived included profiles labelled 'Mixed Fears,' 'Anxious Arousal,' 'Low Mood/Anhedonia,' and 'Sub-Clinical.' Profiles were validated at Time 1 using diagnostic status and clinical severity ratings associated with mood and anxiety presentations. Profiles demonstrated flexibility in accommodating breadth in clinical presentations and common comorbidities. Latent variable models may offer more ecologically valid approaches to understanding psychopathology.

Individual differences associated with treatment adherence and transfer effects following gamified web-based cognitive control training for repetitive negative thinking

Recent research suggests beneficial effects of cognitive control training (CCT) on repetitive negative thinking (RNT), a key risk factor for internalizing symptomatology. However, relatively little is known regarding predictors of adherence to internet-delivered CCT as well as moderators of treatment effects for this intervention. Answering these questions could improve efficiency of clinical implementation of CCT as an eHealth intervention. The current pre-registered single-arm trial set-out to address these questions using a web-based gamified CCT procedure based on the adaptive Paced Auditory Serial Addition Task. Participants (N = 382) entered the internet-based study, where we observed considerable drop-out during the assessment phase and the first training sessions. Emotional stability and resilience emerged as predictors for deciding not to commence the intervention. Drop-out throughout the course of CCT was explained by age, emotion regulation-, and personality factors. We used latent profile analysis, a probabilistic modeling approach, to identify clusters of participants (User Profiles) based on indicators of baseline cognitive- and emotional functioning, training progress, and user experience. We obtained three User Profiles, reflecting low-, moderate-, and high-risk status. Effortful control, emotion regulation, internalizing symptomatology, resilience, and emotional stability played a central role in these User Profiles. Interestingly, User Profile predicted training related cognitive gains, as well as effects of CCT on anxiety- and stress symptoms, and reappraisal. Our findings suggest that CCT is most effective for the moderate- and high-risk groups. In addition, the high-risk group would likely benefit from a more intensive training procedure or repeated administration of the training procedure over time to foster long-term retention of training related gains.

Predictors, Moderators, and Mediators Associated With Treatment Outcome in Randomized Clinical Trials Among Adolescents With Depression: A Scoping Review

Importance

The application of precision medicine principles for the treatment of depressive disorders in adolescents requires an examination of the variables associated with depression outcomes in randomized clinical trials (RCTs).

Objective

To describe predictors, moderators, and mediators associated with outcomes in RCTs for the treatment of depressive disorders in adolescents.

Evidence Review

A scoping review of RCTs for the treatment of depression in adolescents was conducted. Databases searched included MEDLINE, Embase, APA PsycInfo, and CINAHL. Included publications tested predictors, moderators, and/or mediators associated with depression symptom outcomes (eg, symptom reduction, response, remission) in RCTs pertaining to the treatment of adolescents, ages 13 to 17 years. Predictors were defined as variables that were associated with depression outcomes, independent of treatment group. Moderators were defined as baseline variables that were associated with differential outcomes between treatment groups. Mediators were defined by a formal mediation analysis. In duplicate, variables were extracted and coded with respect to analysis type (univariable or multivariable), statistical significance, direction of effect size, reporting of a priori hypotheses, and adjustment for multiple comparisons. Aggregated results were summarized by variable domain and RCT sample.

Findings

Eighty-one articles reporting on variables associated with outcomes across 33 RCTs were identified, including studies of biological (10 RCTs), psychosocial (18 RCTs), and combined (4 RCTs) treatments as well as a service delivery model (1 RCT). Fifty-three variable domains were tested as baseline predictors of depression outcome, 41 as moderators, 19 as postbaseline predictors, and 5 as mediators. Variable domains that were reported as significant in at least 3 RCTs included age, sex/gender, baseline depression severity, early response to treatment, sleep changes, parent-child conflict, overall psychopathology, suicidal ideation, hopelessness, functional impairment, attendance at therapy sessions, and history of trauma. Two publications reported a priori hypotheses and adjustment for multiple comparisons, both finding that baseline depression severity and family conflict were associated with poorer outcomes.

Conclusions and Relevance

This review identified commonly researched variables requiring more scrutiny as well as underresearched variables to inform future study designs. Further efforts to discover predictors, moderators, and mediators associated with treatment response have great potential to optimize care for adolescents with depression.

Effectiveness of attachment-based family therapy compared to treatment as usual for depressed adolescents in community mental health clinics

BACKGROUND

Major Depressive Disorder (MDD) is a disabling mood disorder, profoundly affecting a large number of adolescent's quality of life. To date, no obvious treatment of choice for MDD in adolescents is available and progress in the treatment of depressed adolescents will have important public health implications. Attachment-Based Family Therapy (ABFT), as the only empirically supported family therapy model designed to treat adolescent depression, aims to repair interpersonal ruptures and rebuild an emotionally protective parent-child relationship.

OBJECTIVE

To study the effectiveness of ABFT compared with treatment as usual (TAU) delivered within child- and adolescent mental health services (CAMHS) to adolescents with MDD.

METHOD

Sixty adolescents (86.7% girls), aged 13-18 years (M = 14.9, SD = 1.35), with MDD referred to two CAMHS were randomized to 16 weeks of ABFT or TAU. ABFT consisted of weekly therapy sessions (family/individual or both) according to the treatment manual. TAU was not monitored. Primary outcomes were assessed by blinded evaluators at baseline and post-treatment with the Hamilton Depression Scale (HAMD). Self-reported (Beck Depression Inventory-II, BDI-II) depressive symptoms were assessed at baseline, and after 4, 6, 8, 10,12, 14, and 16 weeks. Analyses were performed according to intent-to-treat principles.

RESULTS

At post-treatment, clinician-rated remission rates on the HAMD (5% in ABFT and 3.33% in TAU, p = 1, OR = 1.54, Fisher's exact test) and self-reported symptoms of depression on the BDI-II did not differ significantly between groups (X²[2, N = 60] = 0.06, p = 0.97). In both treatment groups participants reported significantly reduced depressive symptoms, but the majority (63.3%) of adolescents were still in the clinical range after 16 weeks of treatment.

CONCLUSION

ABFT was not superior to TAU. Remission and response rates were low in both groups, suggesting none of the treatments were effective in treating MDD in adolescents. Findings must be viewed in the context of the study's small sample size, missing data, and implementation challenges. Continued efforts to improve treatment for MDD in outpatient clinics are warranted. Future research should examine moderators of and mechanisms for individual differences to treatment response, as well as the feasibility and cost-effectiveness of implementing treatment models which may require extensive training and expertise to yield clinically meaningful improvements in non-research settings. Trial registration Clinicaltrials.gov identifier: NCT01830088 https://clinicaltrials.gov/ct2/show/NCT01830088?term=Villab%C3%B8&draw=2&rank=1 Date of registration: April 12, 2013.

Prevalence and Interpersonal Correlates of Internet Gaming Disorders among Chinese Adolescents

This study investigated the prevalence and interpersonal correlates of Internet gaming disorders (IGD) among Chinese adolescents. A cross-sectional survey was conducted in two cities (Shanghai and Xi’an) in China. A total of 2666 (Mean_age = 12.77 ± 0.75) year-one students from eight middle schools completed a self-reported questionnaire. It tested their levels of IGD, parental psychological control, negative interpersonal events (physical/verbal abuse by parents, verbal abuse by teachers, peer/online bullying), social support from parents/peers, and positive relationships with parents/peers. Results showed that 346 participants (13.0%) were classified as having IGD. Gender, city, single-parent family, family socio-economic status, and mother’s education level were significantly associated with the risk of IGD. Logistic regression analyses with and without controlling for the significant background variables showed that the studied interpersonal variables were significantly associated with IGD, respectively. Forward stepwise logistic regression showed that the significant correlates of IGD included parental psychological control, physical/verbal abuse by parents, verbal abuse by teachers, and peer/online bullying. Results highlight the importance of addressing interpersonal risk factors to reduce adolescent IGD. Limitations and implications of this study are discussed.