Hydrogen peroxide sensitivity connects the activity of COX5A and NPR3 to the regulation of YAP1 expression.

Reactive oxygen species (ROS) are among the most severe types of cellular stressors with the ability to damage essential cellular biomolecules. Excess levels of ROS are correlated with multiple pathophysiological conditions including neurodegeneration, diabetes, atherosclerosis, and cancer. Failure to regulate the severely imbalanced levels of ROS can ultimately lead to cell death, highlighting the importance of investigating the molecular mechanisms involved in the detoxification procedures that counteract the effects of these compounds in living organisms. One of the most abundant forms of ROS is H2 O2 , mainly produced by the electron transport chain in the mitochondria. Numerous genes have been identified as essential to the process of cellular detoxification. Yeast YAP1, which is homologous to mammalian AP-1 type transcriptional factors, has a key role in oxidative detoxification by upregulating the expression of antioxidant genes in yeast. The current study reveals novel functions for COX5A and NPR3 in H2 O2 -induced stress by demonstrating that their deletions result in a sensitive phenotype. Our follow-up investigations indicate that COX5A and NPR3 regulate the expression of YAP1 through an alternative mode of translation initiation. These novel gene functions expand our understanding of the regulation of gene expression and defense mechanism of yeast against oxidative stress.

A two-tiered system for selective receptor and transporter protein degradation.

Diverse physiology relies on receptor and transporter protein down-regulation and degradation mediated by ESCRTs. Loss-of-function mutations in human ESCRT genes linked to cancers and neurological disorders are thought to block this process. However, when homologous mutations are introduced into model organisms, cells thrive and degradation persists, suggesting other mechanisms compensate. To better understand this secondary process, we studied degradation of transporter (Mup1) or receptor (Ste3) proteins when ESCRT genes (VPS27, VPS36) are deleted in Saccharomyces cerevisiae using live-cell imaging and organelle biochemistry. We find that endocytosis remains intact, but internalized proteins aberrantly accumulate on vacuolar lysosome membranes within cells. Here they are sorted for degradation by the intralumenal fragment (ILF) pathway, constitutively or when triggered by substrates, misfolding or TOR activation in vivo and in vitro. Thus, the ILF pathway functions as fail-safe layer of defense when ESCRTs disregard their clients, representing a two-tiered system that ensures degradation of surface polytopic proteins.

"WOOP is my safe haven": A qualitative feasibility and acceptability study of the Wish Outcome Obstacle Plan (WOOP) intervention for spouses of people living with early-stage dementia.

OBJECTIVES: As symptoms emerge and worsen in people living with dementia, their spouses can benefit from behavioral interventions to support their adjustment as a care partner. The Wish Outcome Obstacle Plan (WOOP) intervention improves the well-being of spouses of people living with dementia early in the disease course, but intervention mechanisms and opportunities for improvement are unclear. The present study gave voice to spouses who participated in a trial of WOOP, describing how WOOP was incorporated into their lives and how it could be improved for future implementation. METHOD: For this qualitative study, we conducted longitudinal semi-structured interviews among 21 spouses of people living with dementia (three interviews over three months; 63 interviews total). Codebook thematic analysis was performed. RESULTS: Three meta-themes were derived: (1) assessing baseline strengths and limitations of WOOP, (2) learning from experience, and (3) fine-tuning and sustaining WOOP. Participants described how WOOP addressed their interpersonal and emotional stressors, their responses to behaviors of the person living with dementia, and their relationship quality. Considerations for future intervention delivery (e.g., solo vs. in group settings) and instructions (e.g., encouraging writing vs. thinking through the four steps of WOOP) were identified as areas of improvement. CONCLUSIONS: WOOP was described as a practical, feasible, and desirable intervention for spouses at the early stages of their partner's dementia. Participants made WOOP easier to incorporate in their everyday lives by adapting the design into a mental exercise that they used as needed. Suggestions from participants specified how to make the everyday use of WOOP more feasible, sustainable, and applicable in a variety of contexts. TRIAL REGISTRATION: ClinicalTrials.gov HIC 2000021852.

The Evaluation of the GET.ON Nationwide Web-Only Treatment Service for Depression- and Stress-Related Symptoms: Naturalistic Trial.

BACKGROUND: GET.ON (HelloBetter) treatment interventions have been shown to be efficacious in multiple randomized controlled trials. OBJECTIVE: This study evaluated the effectiveness of 2 GET.ON interventions, GET.ON Mood Enhancer and GET.ON Stress, in a national digital mental health service implemented across Germany. METHODS: Following an initial web-based questionnaire, participants were allocated to either intervention based on their baseline symptom severity and personal choice and received a semistandardized guided, feedback-on-demand guided, or self-guided version of the treatment. Uncontrolled routine care data from 851 participants were analyzed using a pretest-posttest design. Half of the participants (461/851, 54.2%) were allocated to the stress intervention (189/461, 41% semistandardized; 240/461, 52% feedback on demand; and 32/461, 6.9% self-guided), and almost all participants in the mood intervention (349/352, 99.2%) received semistandardized guidance. RESULTS: Results on depression-related symptom severity indicated a reduction in reported symptoms, with a large effect size of d=-0.92 (95% CI -1.21 to -0.63). Results on perceived stress and insomnia indicated a reduction in symptom severity, with large effect sizes of d=1.02 (95% CI -1.46 to -0.58) and d=-0.75 (95% CI -1.10 to -0.40), respectively. A small percentage of participants experienced deterioration in depression-related symptoms (11/289, 3.8%), perceived stress (6/296, 2%), and insomnia (5/252, 2%). After completing treatment, 51.9% (150/289) of participants showed a clinically reliable change in depression-related symptoms, whereas 20.4% (59/289) achieved a close to symptom-free status. Similar improvements were observed in perceived stress and insomnia severity. Guidance moderated the effectiveness of and adherence to the interventions in reducing depressive symptom severity. Effect sizes on depression-related symptom severity were d=-1.20 (95% CI -1.45 to -0.93) for the semistandardized group, d=-0.36 (95% CI -0.68 to -0.04) for the feedback-on-demand group, and d=-0.83 (95% CI -1.03 to -0.63) for the self-guided group. Furthermore, 47.6% (405/851) of the participants completed all modules of the intervention. Participant satisfaction was high across all patient groups and both interventions; 89.3% (242/271) of participants would recommend it to a friend in need of similar help. Limitations include the assignment to treatments and guidance formats based on symptom severity. Furthermore, part of the differences in symptom change between groups must be assumed to be due to this baseline difference in the measures. CONCLUSIONS: Future digital health implementation and routine care research should focus on monitoring symptom deterioration and other negative effects, as well as possible predictors of deterioration and the investigation of individual patient trajectories. In conclusion, this study supports the effectiveness of tailored digital mental health services in routine care for depression- and stress-related symptoms in Germany. The results highlight the importance of guidance in delivering internet-based cognitive behavioral therapy interventions and provide further evidence for its potential delivered as web-only solutions for increasing access to and use of psychological treatments.

A Universal Digital Stress Management Intervention for Employees: Randomized Controlled Trial with Health-Economic Evaluation.

BACKGROUND: Stress is highly prevalent and known to be a risk factor for a wide range of physical and mental disorders. The effectiveness of digital stress management interventions has been confirmed; however, research on its economic merits is still limited. OBJECTIVE: This study aims to assess the cost-effectiveness, cost-utility, and cost-benefit of a universal digital stress management intervention for employees compared with a waitlist control condition within a time horizon of 6 months. METHODS: Recruitment was directed at the German working population. A sample of 396 employees was randomly assigned to the intervention group (n=198) or the waitlist control condition (WLC) group (n=198). The digital stress management intervention included 7 sessions plus 1 booster session, which was offered without therapeutic guidance. Health service use, patient and family expenditures, and productivity losses were self-assessed and used for costing from a societal and an employer's perspective. Costs were related to symptom-free status (PSS-10 [Perceived Stress Scale] score 2 SDs below the study population baseline mean) and quality-adjusted life years (QALYs) gained. The sampling error was handled using nonparametric bootstrapping. RESULTS: From a societal perspective, the digital intervention was likely to be dominant compared with WLC, with a 56% probability of being cost-effective at a willingness-to-pay (WTP) of €0 per symptom-free person gained. At the same WTP threshold, the digital intervention had a probability of 55% being cost-effective per QALY gained relative to the WLC. This probability increased to 80% at a societal WTP of €20,000 per QALY gained. Taking the employer's perspective, the digital intervention showed a probability of a positive return on investment of 78%. CONCLUSIONS: Digital preventive stress management for employees appears to be cost-effective societally and provides a favorable return on investment for employers. TRIAL REGISTRATION: German Clinical Trials Register DRKS00005699; https://drks.de/search/en/trial/DRKS00005699.

Gene-Environment Interactions in Irrational Beliefs: The Roles of Childhood Adversity and Multiple Candidate Genes.

Cognitive behavioral therapy is based on the view that maladaptive thinking is the causal mechanism of mental disorders. While this view is supported by extensive evidence, very limited work has addressed the factors that contribute to the development of maladaptive thinking. The present study aimed to uncover interactions between childhood maltreatment and multiple genetic differences in irrational beliefs. Childhood maltreatment and irrational beliefs were assessed using multiple self-report instruments in a sample of healthy volunteers (N = 452). Eighteen single-nucleotide polymorphisms were genotyped in six candidate genes related to neurotransmitter function (COMT; SLC6A4; OXTR), neurotrophic factors (BDNF), and the hypothalamic-pituitary-adrenal axis (NR3C1; CRHR1). Gene-environment interactions (G×E) were first explored in models that employed one measure of childhood maltreatment and one measure of irrational beliefs. These effects were then followed up in models in which either the childhood maltreatment measure, the irrational belief measure, or both were substituted by parallel measures. Consistent results across models indicated that childhood maltreatment was positively associated with irrational beliefs, and these relations were significantly influenced by COMT rs165774 and OXTR rs53576. These results remain preliminary until independent replication, but they represent the best available evidence to date on G×E in a fundamental mechanism of psychopathology.

Successes and Shortcomings of COVID-19 Vaccine Access for Older Americans.

PURPOSE: To understand perceived facilitators and barriers older adults experienced in accessing coronavirus disease 2019 (COVID-19) vaccines. METHOD: An electronic survey was distributed to older adults and those familiar with experiences of older adults accessing COVID-19 vaccines. Analysis included descriptive statistics and directed content analysis of open-ended responses, guided by the National Institute on Aging Health Disparities Research Framework. RESULTS: Most participants (n = 294) identified as White (79.5%), 33.8% identified as Hispanic, 8.1% identified as Black, and 12.4% identified as Other. Two thirds of respondents were male (68.6%), and the median age was 67 years. Five key themes emerged: Availability and Accessibility, Information, Cost, Safety and Side Effects, and Sense of Security. CONCLUSION: Barriers and facilitators to accessing COVID-19 vaccines for older populations paralleled those seen in other demographics. Similar needs likely exist for access to other vaccines and health care in general. Vaccine rollouts, particularly in public health emergencies, must be carried out with care and an awareness of the barriers faced by vulnerable groups. [Journal of Gerontological Nursing, 50(9), 12-17.].

Interpersonal factors in internet-based cognitive behavioral therapy for depression: Attachment style and alliance with the program and with the therapist.

Objective This open-trial study examined effects of a culturally-adapted Hebrew version of guided internet-based cognitive behavioural therapy (ICBT) for depression. We examined therapeutic alliance with the therapist and with the programme (content) as potential predictors of outcomes. Furthermore, we examined whether anxious and avoidant attachment styles improved, although relationships were not the focus of treatment. Method: We examined alliance with therapist and alliance with programme and their time-lagged (1 week), longitudinal relationship with depression outcomes, and change in anxious and avoidant attachment during treatment. Results: Depression and insomnia improved significantly (Cohen's d: depression = 1.34, insomnia = 0.86), though dropout was relatively high (49%). Alliance with programme and with the therapist predicted adherence and dropout, whereas only alliance with therapist predicted symptom improvement. Avoidant attachment decreased over treatment whereas anxious attachment did not. Conclusion: A culturally-adapted version of ICBT for depression showed that alliance with therapist and alliance with programme both can play an important role in its effectiveness: alliance with programme and the therapist drive adherence and dropout and alliance with therapist is related to symptom improvement. Although the focus of treatment is not interpersonal, avoidant attachment style can improve following ICBT.

Inferring free-energy barriers and kinetic rates from molecular dynamics via underdamped Langevin models.

Rare events include many of the most interesting transformation processes in condensed matter, from phase transitions to biomolecular conformational changes to chemical reactions. Access to the corresponding mechanisms, free-energy landscapes and kinetic rates can in principle be obtained by different techniques after projecting the high-dimensional atomic dynamics on one (or a few) collective variable. Even though it is well-known that the projected dynamics approximately follows - in a statistical sense - the generalized, underdamped or overdamped Langevin equations (depending on the time resolution), to date it is nontrivial to parameterize such equations starting from a limited, practically accessible amount of non-ergodic trajectories. In this work we focus on Markovian, underdamped Langevin equations, that arise naturally when considering, e.g., numerous water-solution processes at sub-picosecond resolution. After contrasting the advantages and pitfalls of different numerical approaches, we present an efficient parametrization strategy based on a limited set of molecular dynamics data, including equilibrium trajectories confined to minima and few hundreds transition path sampling-like trajectories. Employing velocity autocorrelation or memory kernel information for learning the friction and likelihood maximization for learning the free-energy landscape, we demonstrate the possibility to reconstruct accurate barriers and rates both for a benchmark system and for the interaction of carbon nanoparticles in water.

Internet-Based Treatment of Body Dysmorphic Disorder: Feasibility, Evaluation, and Self-Report Data.

ABSTRACT: Initial findings indicate the effectiveness of internet-based interventions for body dysmorphic disorder (BDD). In order to substantiate these findings, a seven-module guided internet-based intervention was created and examined. We report the mixed data of participants with clinical and subclinical BDD of the treatment group (n = 18). We investigated the feasibility, the quality of the program content, the design and usability, and its effects on symptom severity and related psychopathology. Adherence to the intervention was low and dropout rate high (55.6%). The program content, perceived website usability, and visual aesthetic were rated high. Credibility and expectancy were on a medium level. Satisfaction with appearance improved significantly in the intention-to-treat analysis (d = 0.58). In sum, symptom-related outcomes and program evaluation showed a positive trend albeit the study conduction was difficult. Future programs should investigate the role of additional motivation strategies and more flexible support addressing the known treatment barriers.

Effectiveness of Self-guided Tailored Implementation Strategies in Integrating and Embedding Internet-Based Cognitive Behavioral Therapy in Routine Mental Health Care: Results of a Multicenter Stepped-Wedge Cluster Randomized Trial.

BACKGROUND: Internet-based cognitive behavioral therapy (iCBT) services for common mental health disorders have been found to be effective. There is a need for strategies that improve implementation in routine practice. One-size-fits-all strategies are likely to be ineffective. Tailored implementation is considered as a promising approach. The self-guided integrated theory-based Framework for intervention tailoring strategies toolkit (ItFits-toolkit) supports local implementers in developing tailored implementation strategies. Tailoring involves identifying local barriers; matching selected barriers to implementation strategies; developing an actionable work plan; and applying, monitoring, and adapting where necessary. OBJECTIVE: This study aimed to compare the effectiveness of the ItFits-toolkit with implementation-as-usual (IAU) in implementing iCBT services in 12 routine mental health care organizations in 9 countries in Europe and Australia. METHODS: A stepped-wedge cluster randomized trial design with repeated measures was applied. The trial period lasted 30 months. The primary outcome was the normalization of iCBT delivery by service providers (therapists, referrers, IT developers, and administrators), which was measured with the Normalization Measure Development as a proxy for implementation success. A 3-level linear mixed-effects modeling was applied to estimate the effects. iCBT service uptake (referral and treatment completion rates) and implementation effort (hours) were used as secondary outcomes. The perceived satisfaction (Client Satisfaction Questionnaire), usability (System Usability Scale), and impact of the ItFits-toolkit by implementers were used to assess the acceptability of the ItFits-toolkit. RESULTS: In total, 456 mental health service providers were included in this study. Compared with IAU, the ItFits-toolkit had a small positive statistically significant effect on normalization levels in service providers (mean 0.09, SD 0.04; P=.02; Cohen d=0.12). The uptake of iCBT by patients was similar to that of IAU. Implementers did not spend more time on implementation work when using the ItFits-toolkit and generally regarded the ItFits-toolkit as usable and were satisfied with it. CONCLUSIONS: The ItFits-toolkit performed better than the usual implementation activities in implementing iCBT services in routine practice. There is practical utility in the ItFits-toolkit for supporting implementers in developing and applying effective tailored implementation strategies. However, the effect on normalization levels among mental health service providers was small. These findings warrant modesty regarding the effectiveness of self-guided tailored implementation of iCBT services in routine practice. TRIAL REGISTRATION: ClinicalTrials.gov NCT03652883; https://clinicaltrials.gov/ct2/show/NCT03652883. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s13063-020-04686-4.

Examining the relationship between cognitive factors and insight in panic disorder before and during treatment.

Individuals with Panic Disorder (PD) often have impaired insight, which can impede their willingness to seek treatment. Cognitive processes, including metacognitive beliefs, cognitive flexibility, and jumping to conclusions (JTC) may influence the degree of insight. By understanding the relationship between insight and these cognitive factors in PD, we can better identify individuals with such vulnerabilities to improve their insight. The aim of this study is to examine the relationships between metacognition, cognitive flexibility, and JTC with clinical and cognitive insight at pretreatment. We investigate the association among those factors' changes and changes in insight over treatment. Eighty-three patients diagnosed with PD received internet-based cognitive behavior therapy. Analyses revealed that metacognition was related to both clinical and cognitive insight, and cognitive flexibility was related to clinical insight at pre-treatment. Greater changes in metacognition were correlated with greater changes in clinical insight. Also, greater changes in cognitive flexibility were related to greater changes in cognitive insight. The current study extends previous studies suggesting potential relationships among insight, metacognition, and cognitive flexibility in PD. Determining the role of cognitive concepts in relation to insight may lead to new avenues for improving insight and can have implications for engagement and treatment-seeking behaviors.

Metallic Nanowires Self-Assembled in Quasi-Circular Nanomolds Templated by DNA Origami.

The self-assembly of conducting nanostructures is currently being investigated intensively in order to evaluate the feasibility of creating novel nanoelectronic devices and circuits using such pathways. In particular, methods based on so-called DNA Origami nanostructures have shown great potential in the formation of metallic nanowires. The main challenge of this method is the reproducible generation of very well-connected metallic nanostructures, which may be used as interconnects in future devices. Here, we use a novel design of nanowires with a quasi-circular cross-section as opposed to rectangular or uncontrolled cross-sections in earlier studies. We find indications that the reliability of the fabrication scheme is enhanced and the overall resistance of the wires is comparable to metallic nanostructures generated by electrochemistry or top-down methods. In addition, we observe that some of the nanowires are annealed when passing a current through them, which leads to a clear enhancement for the conductance. We envision that these nanowires provide further steps towards the successful generation of nanoelectronics using self-assembly.

DBP7 and YRF1-6 Are Involved in Cell Sensitivity to LiCl by Regulating the Translation of PGM2 mRNA.

Lithium chloride (LiCl) has been widely researched and utilized as a therapeutic option for bipolar disorder (BD). Several pathways, including cell signaling and signal transduction pathways in mammalian cells, are shown to be regulated by LiCl. LiCl can negatively control the expression and activity of PGM2, a phosphoglucomutase that influences sugar metabolism in yeast. In the presence of galactose, when yeast cells are challenged by LiCl, the phosphoglucomutase activity of PGM2p is decreased, causing an increase in the concentration of toxic galactose metabolism intermediates that result in cell sensitivity. Here, we report that the null yeast mutant strains DBP7∆ and YRF1-6∆ exhibit increased LiCl sensitivity on galactose-containing media. Additionally, we demonstrate that DBP7 and YRF1-6 modulate the translational level of PGM2 mRNA, and the observed alteration in translation seems to be associated with the 5'-untranslated region (UTR) of PGM2 mRNA. Furthermore, we observe that DBP7 and YRF1-6 influence, to varying degrees, the translation of other mRNAs that carry different 5'-UTR secondary structures.

A middle range theory of self- and family management of chronic illness.

BACKGROUND: The Self- and Family Management Framework was created in 2006 to help structure self- and family management science. Based on a series of reviews and syntheses of emerging research and critical evaluation, we developed the Framework into a robust nursing theory. PURPOSE: In this article, we reintroduce the Self- and Family Management Framework as the Middle Range Theory of Self- and Family Management of Chronic Illness. METHODS: We review steps in the development and updating of the Framework, share rationale for advancement to a middle range theory, explicate components of the newly designed model, and propose future directions. DISCUSSION AND CONCLUSION: It is our hope that this middle range theory will guide researchers and clinicians more comprehensively in supporting patients and families managing chronic illness, which will in turn inform continued theory development.

A brief history of Romanian psychology.

The evolution of Romanian psychology followed several stages, similarly to other countries in Eastern Europe, yet with its own particularities. The first psychology institutes were introduced by former students of Wilhelm Wundt, and the field saw a rapid development, with distinguished scholars making relevant scientific contributions. However, after the communist regime was enforced, psychology stagnated somewhat due to ideological, financial, and political reasons, and, in 1977, it was even removed from academia. After 1989, psychology revived in academia and research, and as a profession as well. This article summarizes the evolution of Romanian psychology through these stages, focusing on its postcommunist revival.

Family still matters: Human social motivation across 42 countries during a global pandemic.

The COVID-19 pandemic caused drastic social changes for many people, including separation from friends and coworkers, enforced close contact with family, and reductions in mobility. Here we assess the extent to which people's evolutionarily-relevant basic motivations and goals-fundamental social motives such as Affiliation and Kin Care-might have been affected. To address this question, we gathered data on fundamental social motives in 42 countries (N = 15,915) across two waves, including 19 countries (N = 10,907) for which data were gathered both before and during the pandemic (pre-pandemic wave: 32 countries, N = 8998; 3302 male, 5585 female; M age  = 24.43, SD = 7.91; mid-pandemic wave: 29 countries, N = 6917; 2249 male, 4218 female; M age  = 28.59, SD = 11.31). Samples include data collected online (e.g., Prolific, MTurk), at universities, and via community sampling. We found that Disease Avoidance motivation was substantially higher during the pandemic, and that most of the other fundamental social motives showed small, yet significant, differences across waves. Most sensibly, concern with caring for one's children was higher during the pandemic, and concerns with Mate Seeking and Status were lower. Earlier findings showing the prioritization of family motives over mating motives (and even over Disease Avoidance motives) were replicated during the pandemic. Finally, well-being remained positively associated with family-related motives and negatively associated with mating motives during the pandemic, as in the pre-pandemic samples. Our results provide further evidence for the robust primacy of family-related motivations even during this unique disruption of social life.

The Efficacy of a Web-Based Stress Management Intervention for Employees Experiencing Adverse Working Conditions and Occupational Self-efficacy as a Mediator: Randomized Controlled Trial.

BACKGROUND: Work stress is highly prevalent and puts employees at risk for adverse health consequences. Web-based stress management interventions (SMIs) promoting occupational self-efficacy might be a feasible approach to aid employees to alleviate this burden and to enable them to improve an unbalanced situation between efforts and rewards at work. OBJECTIVE: The first aim of this randomized controlled trial was to investigate the efficacy of a web-based SMI for employees perceiving elevated stress levels and an effort-reward imbalance in comparison to a waitlist control (WLC) group. Second, we investigated whether the efficacy of an SMI could be explained by an increase in occupational self-efficacy and whether this personal resource enables employees to change adverse working conditions. METHODS: A total of 262 employees reporting effort-reward imbalance scores over 0.715 and elevated stress levels (10-item Perceived Stress Scale [PSS-10] score ≥22) were randomly assigned to either the intervention group (IG; SMI) or the WLC group. The primary outcome was perceived stress measured using the PSS-10. The secondary outcomes included mental and work-related health measures. Four different mediation analyses were conducted with occupational self-efficacy, efforts, and rewards as mediators. After eligibility screening, data were collected web based at baseline (T1), 7 weeks (T2) and 6 months (T3). RESULTS: Study participation was completed by 80% (105/130, 80.8%) in the IG and 90% (119/132, 90.2%) in the WLC group. Analyses of covariance revealed that stress reduction was significantly higher for the SMI group compared with the WLC group at T2 (d=0.87, 95% CI 0.61-1.12, P<.001) and T3 (d=0.65, 95% CI 0.41-0.90, P<.001). Mediation analyses indicated that occupational self-efficacy mediated the beneficial effect of the SMI on stress directly. Furthermore, the analyses revealed a significant indirect effect of occupational self-efficacy via rewards (b=0.18, t259=4.52, P<.001), but not via efforts (b=0.01, t259=0.27, P>.05) while efforts still had a negative impact on stress (b=0.46, t257=2.32, P<.05). CONCLUSIONS: The SMI was effective in reducing stress and improving occupational self-efficacy in employees despite them experiencing an effort-reward imbalance at work. Results from mediation analyses suggest that fostering personal resources such as occupational self-efficacy contributes to the efficacy of the SMI and enables employees to achieve positive changes regarding the rewarding aspects of the workplace. However, the SMI seemed to neither directly nor indirectly impact efforts, suggesting that person-focused interventions might not be sufficient and need to be complemented by organizational-focused interventions to comprehensively improve mental health in employees facing adverse working conditions. TRIAL REGISTRATION: German Clinical Trials Register DRKS00005990; https://tinyurl.com/23fmzfu3.

Predictors of Dropout in a Digital Intervention for the Prevention and Treatment of Depression in Patients With Chronic Back Pain: Secondary Analysis of Two Randomized Controlled Trials.

BACKGROUND: Depression is a common comorbid condition in individuals with chronic back pain (CBP), leading to poorer treatment outcomes and increased medical complications. Digital interventions have demonstrated efficacy in the prevention and treatment of depression; however, high dropout rates are a major challenge, particularly in clinical settings. OBJECTIVE: This study aims to identify the predictors of dropout in a digital intervention for the treatment and prevention of depression in patients with comorbid CBP. We assessed which participant characteristics may be associated with dropout and whether intervention usage data could help improve the identification of individuals at risk of dropout early on in treatment. METHODS: Data were collected from 2 large-scale randomized controlled trials in which 253 patients with a diagnosis of CBP and major depressive disorder or subclinical depressive symptoms received a digital intervention for depression. In the first analysis, participants' baseline characteristics were examined as potential predictors of dropout. In the second analysis, we assessed the extent to which dropout could be predicted from a combination of participants' baseline characteristics and intervention usage variables following the completion of the first module. Dropout was defined as completing <6 modules. Analyses were conducted using logistic regression. RESULTS: From participants' baseline characteristics, lower level of education (odds ratio [OR] 3.33, 95% CI 1.51-7.32) and both lower and higher age (a quadratic effect; age: OR 0.62, 95% CI 0.47-0.82, and age2: OR 1.55, 95% CI 1.18-2.04) were significantly associated with a higher risk of dropout. In the analysis that aimed to predict dropout following completion of the first module, lower and higher age (age: OR 0.60, 95% CI 0.42-0.85; age2: OR 1.59, 95% CI 1.13-2.23), medium versus high social support (OR 3.03, 95% CI 1.25-7.33), and a higher number of days to module completion (OR 1.05, 95% CI 1.02-1.08) predicted a higher risk of dropout, whereas a self-reported negative event in the previous week was associated with a lower risk of dropout (OR 0.24, 95% CI 0.08-0.69). A model that combined baseline characteristics and intervention usage data generated the most accurate predictions (area under the receiver operating curve [AUC]=0.72) and was significantly more accurate than models based on baseline characteristics only (AUC=0.70) or intervention usage data only (AUC=0.61). We found no significant influence of pain, disability, or depression severity on dropout. CONCLUSIONS: Dropout can be predicted by participant baseline variables, and the inclusion of intervention usage variables may improve the prediction of dropout early on in treatment. Being able to identify individuals at high risk of dropout from digital health interventions could provide intervention developers and supporting clinicians with the ability to intervene early and prevent dropout from occurring.

Effect of Sleep Disturbance Symptoms on Treatment Outcome in Blended Cognitive Behavioral Therapy for Depression (E-COMPARED Study): Secondary Analysis.

BACKGROUND: Sleep disturbance symptoms are common in major depressive disorder (MDD) and have been found to hamper the treatment effect of conventional face-to-face psychological treatments such as cognitive behavioral therapy. To increase the dissemination of evidence-based treatment, blended cognitive behavioral therapy (bCBT) consisting of web-based and face-to-face treatment is on the rise for patients with MDD. To date, no study has examined whether sleep disturbance symptoms have an impact on bCBT treatment outcomes and whether it affects bCBT and treatment-as-usual (TAU) equally. OBJECTIVE: The objectives of this study are to investigate whether baseline sleep disturbance symptoms have an impact on treatment outcomes independent of treatment modality and whether sleep disturbance symptoms impact bCBT and TAU in routine care equally. METHODS: The study was based on data from the E-COMPARED (European Comparative Effectiveness Research on Blended Depression Treatment Versus Treatment-as-Usual) study, a 2-arm, multisite, parallel randomized controlled, noninferiority trial. A total of 943 outpatients with MDD were randomized to either bCBT (476/943, 50.5%) or TAU consisting of routine clinical MDD treatment (467/943, 49.5%). The primary outcome of this study was the change in depression symptom severity at the 12-month follow-up. The secondary outcomes were the change in depression symptom severity at the 3- and 6-month follow-up and MDD diagnoses at the 12-month follow-up, assessed using the Patient Health Questionnaire-9 and Mini-International Neuropsychiatric Interview, respectively. Mixed effects models were used to examine the association of sleep disturbance symptoms with treatment outcome and treatment modality over time. RESULTS: Of the 943 patients recruited for the study, 558 (59.2%) completed the 12-month follow-up assessment. In the total sample, baseline sleep disturbance symptoms did not significantly affect change in depressive symptom severity at the 12-month follow-up (ß=.16, 95% CI -0.04 to 0.36). However, baseline sleep disturbance symptoms were negatively associated with treatment outcome for bCBT (ß=.49, 95% CI 0.22-0.76) but not for TAU (ß=-.23, 95% CI -0.50 to 0.05) at the 12-month follow-up, even when adjusting for baseline depression symptom severity. The same result was seen for the effect of sleep disturbance symptoms on the presence of depression measured with Mini-International Neuropsychiatric Interview at the 12-month follow-up. However, for both treatment formats, baseline sleep disturbance symptoms were not associated with depression symptom severity at either the 3- (ß=.06, 95% CI -0.11 to 0.23) or 6-month (ß=.09, 95% CI -0.10 to 0.28) follow-up. CONCLUSIONS: Baseline sleep disturbance symptoms may have a negative impact on long-term treatment outcomes in bCBT for MDD. This effect was not observed for TAU. These findings suggest that special attention to sleep disturbance symptoms might be warranted when MDD is treated with bCBT. Future studies should investigate the effect of implementing modules specifically targeting sleep disturbance symptoms in bCBT for MDD to improve long-term prognosis.