Effectiveness of an add-on brief group behavioral activation treatment for depression in psychiatric care: a randomized clinical trial.

Objective: Behavioral activation (BA) is an effective treatment for depression. We investigated the effectiveness of add-on group-format BA and peer support (PS) with treatment as usual (TAU) in a registered randomized clinical trial in psychiatric outpatient settings (ISRCTN10647845). Methods: Adult outpatients (N = 140) with major depressive disorder (MDD) and Patient Health Questionnaire (PHQ-9) score ≥10 were randomized into a) group BA, consisting of eight 90-minute weekly group sessions plus TAU; b) group PS, including eight 90-minute weekly group sessions plus TAU; or c) TAU alone. The primary outcome was a within-individual change in PHQ-9 score between baseline and 8 weeks. Secondary outcomes were 1) response, 2) remission, and 3) functional impairment at 8 weeks, plus 4) change in PHQ-9 at 6 months. Results: Of the randomized patients, 100 (71.4%) completed treatments, including 29/45 (64.4%) patients in the BA group, 39/49 (79.6%) in the PS group, and 32/46 (69.6%) in the TAU group. By 8 weeks, PHQ-9 scores declined most in the TAU group [BA -0.28 (95% CI -2.48, 1.92), PS -0.58 (-2.09, 0.94) vs. TAU -3.32 (-5.21, -1.44); group-difference test, p = 0.034]. The secondary outcomes in the BA or PS arms did not significantly differ from those in TAU. Videotaped sessions revealed marked variation in briefly trained therapists' adherence to the treatment manual. Conclusions: In this randomized trial, the effectiveness of treatments with the added BA and PS groups did not exceed that of TAU alone. The preconditions in which brief BA or PS group interventions benefit outpatients with depression in psychiatric settings warrant critical investigation.

Psychological Pain as a Risk Factor for Suicidal Ideation: An Ecological Momentary Assessment Study on Inpatients With Depression With and Without Comorbid Borderline Personality Disorder.

Objective: Psychological pain (PP) is a potentially important risk factor for suicide. However, its temporal stability and association with suicidal ideation (SI) remain obscure. Whether PP represents a risk factor for SI independently of depression, anxiety, and hopelessness or is more prominent and temporally unstable in patients with depression and borderline personality disorder (BPD) is also unclear.Methods: From November 2020 to December 2022, psychiatric inpatients with depression without (N = 37) and with (N = 30) BPD were recruited to an ecological momentary assessment (EMA) study, wherein their PP, severity of depression, SI, and hopelessness were assessed 3 times daily using visual analog scales. Multilevel regression models were estimated.Results: Altogether, 4,320 EMA observations were collected. PP correlated with hopelessness (r = 0.417), depression (r = 0.339), and anxiety (r = 0.496), but the between-patient variance of PP remained at 1.26 (95% CI, 1.025-1.533) after controlling for these variables. The within-patient variance of PP was associated with SI (ß = 0.17 [95% CI, 0.12-0.22]) with a magnitude comparable to hopelessness (ß = 0.1 [95% CI, 0.05-0.15]) and depression (ß = 0.12 [95% CI, 0.08-0.17]). Patients with depression and BPD reported higher daily PP and SI (P < .001) and a more prominent within-patient variation in PP.Conclusions: In psychiatric inpatients with depression, besides depression and hopelessness, PP represents an independent risk factor for SI, varying within a timescale of days. Depressive patients with BPD may experience more prominent and temporally unstable PP, likely underlying their higher vulnerability to SI.

Affect dimensions and variability during major depressive episodes: Ecological momentary assessment of unipolar, bipolar, and borderline patients and healthy controls.

Differentiating major depressive episodes (MDEs) of major depressive disorder (MDD), bipolar disorder (MDE/BD) and the MDEs comorbid with borderline personality disorder (MDE/BPD) is crucial for appropriate treatment, and knowledge of phenomenological differences may aid this. However, studies comparing affect experiences of these three patient groups and healthy subjects are scarce. In our study, participants (N = 114), including patients with MDD (n = 34), MDE/BD (n = 27), and MDE/BPD (n = 24), and healthy controls (HC, n = 29) responded to ecological momentary assessment (EMA) with ten circumplex model affect items ten times daily for seven days (7709 recordings). Explorative factor analysis resulted in two affect dimensions. The positive dimension included active, excited, cheerful (high arousal), and content (low arousal) affects, and the negative dimension irritated, angry, and nervous (high arousal) affects. Relative to HC, patients reported 3.5-fold negative affects (mean MDD 1.36 (SD 0.92), MDE/BD 1.43 (0.76), MDE/BPD 1.81 (0.95) vs. HC 0.44 (0.49) (p < 0.01)) but 0.5-fold positive affects (2.01 (0.90), 1.95 (0.89), 2.24 (1.03), vs. 3.2 (0.95), respectively (p < 0.01)). We used multilevel modelling. Negative-affect within-individual stability was lowest in MDE/BPD and highest in MDD. Negative affect predicted concurrent positive affect more in MDE/BPD than in MDD. Moderate size of subcohorts and no inpatients were limitations. Despite apparently similar MDEs, affective experiences may differ between BPD, BD, and MDD patients. Clinical subgroups of patients with depression may vary in affective instability and concurrent presence of negative and positive affects during depression.

Predicting a short-term change of suicidal ideation in inpatients with depression: An ecological momentary assessment.

INTRODUCTION: Patients with depression often require inpatient treatment due to their high suicide risk. Ecological momentary assessment (EMA) studies have shown that suicidal ideation (SI) fluctuates over time. As affective instability and psychological pain (PP) are common experiences in borderline personality disorder (BPD), often comorbid with depression, we examined factors predicting short-term changes of SI in depressive inpatients with or without BPD. METHODS: Psychiatric inpatients with depression with (N = 30) or without (N = 37) comorbid BPD assessed their anxiety, PP, severity of depression, SI, and hopelessness three times daily using visual analogue scales. Multilevel regression models were estimated. RESULTS: Altogether 4320 EMA observations, spanning on average 3.4 successive days, were collected. Only severity of depression (ß = 0.19; [95 % CI = 0.06, 0.32]) and previous SI (ß = 0.32; [95 % CI = 0.23, 0.41]) predicted near-future SI within several hours. PP predicted near-future SI in inpatients with depression and BPD (ß = 0.28; [95 % CI = 0.11, 0.46]), but not in patients without BPD. LIMITATIONS: The follow-up data represents only the first days of hospitalization. The context of the EMA is the acute psychiatric ward, affecting generalizability to outpatients. CONCLUSIONS: Short-terms changes in SI are predicted by changes in severity of depression and previous SI in depressed inpatients without BPD, and also by changes in PP in depressed inpatients with BPD. As SI and its risk factors may oscillate within a time scale of hours, frequent monitoring of momentary severity of depression, PP, and SI may be warranted in inpatient settings.

A critical review of risk-sensitive foraging.

Foraging is risk sensitive if choices depend on the variability of returns from the options as well as their mean return. Risk-sensitive foraging is important in behavioural ecology, psychology and neurophysiology. It has been explained both in terms of mechanisms and in terms of evolutionary advantage. We provide a critical review, evaluating both mechanistic and evolutionary accounts. Some derivations of risk sensitivity from mechanistic models based on psychophysics are not convincing because they depend on an inappropriate use of Jensen's inequality. Attempts have been made to link risk sensitivity to the ecology of a species, but again these are not convincing. The field of risk-sensitive foraging has provided a focus for theoretical and empirical work and has yielded important insights, but we lack a simple and empirically defendable general account of it in either mechanistic or evolutionary terms. However, empirical analysis of choice sequences under theoretically motivated experimental designs and environmental settings appears a promising avenue for mapping the scope and relative merits of existing theories. Simply put, the devil is in the sequence.

Physical activity and specific symptoms of depression: A pooled analysis of six cohort studies.

BACKGROUND: The association between physical activity (PA) and depression is well-established, but the details that explain this association remain elusive. We examined whether PA is differentially associated with specific symptoms of depression (e.g., cognitive vs somatic symptoms), and whether these associations follow a dose-response pattern with respect to intensity or frequency of PA. METHODS: Cross-sectional analyses were based on 6 samples of the continuous U.S. National Health and Nutrition Examination Surveys (NHANES) carried out between 2007 and 2018 (n = 28,520). Depressive symptoms were assessed with Patient Health Questionnaire 9 (PHQ-9). Information about PA (vigorous, moderate, and daily commuting by foot or bike) and covariates was self-reported. RESULTS: After adjusting for education, health behaviors, body-mass index, physical functioning, and all the other depressive symptoms, lower PA was specifically associated with four depressive symptoms: loss of interest/pleasure, feeling down/hopeless, fatigue, and changes in appetite (odds ratios from 0.94 to 0.59). A monotonic dose-response pattern on PA amount was observed only for interest/pleasure and fatigue, and these associations were independent of PA intensity. LIMITATIONS: Cross-sectional data did not allow us to assess temporal ordering. Both depressive symptoms and PA were self-reported, which may induce bias. CONCLUSION: Low PA may be linked to depressive symptoms particularly through the symptoms of anhedonia and fatigue. Given that their association with PA amount follows a dose-response pattern and is independent of PA intensity, we hypothesize that behavioral activation and exposure to rewarding experiences might help to explain why PA alleviates depression.

The Overall Anxiety Severity and Impairment Scale as an Outcome Measure in Internet-Delivered Cognitive Behavioral Therapy for Anxiety Disorders: Observational Study.

BACKGROUND: Internet-delivered cognitive behavioral therapy (iCBT) is effective in the treatment of anxiety disorders. iCBT clinical trials use relatively long and time-consuming disorder-specific rather than transdiagnostic anxiety measurements. Overall Anxiety Severity and Impairment Scale (OASIS) is a brief self-report scale that could offer a universal, easy-to-use anxiety measurement option in disorder-specific and transdiagnostic iCBT programs. OBJECTIVE: We aimed to investigate relationships between OASIS and disorder-specific instruments in iCBT. We expected these relationships to be positive. METHODS: We investigated patients in original nationwide iCBT programs for generalized anxiety disorder (GAD), obsessive-compulsive disorder, panic disorder, and social anxiety disorder, which were administered by Helsinki University Hospital, Finland. In each program, anxiety symptoms were measured using both disorder-specific scales (the 7-item Generalized Anxiety Disorder scale, Penn State Worry Questionnaire, revised Obsessive-Compulsive Inventory, Panic Disorder Severity Scale, and Social Phobia Inventory) and by OASIS. A general linear model for repeated measures (mixed models) and interaction analysis were used for investigating the changes and relationships in the mean scores of OASIS and disorder-specific scales from the first session to the last one. RESULTS: The main effect of linear mixed models indicated a distinct positive association between OASIS and disorder-specific scale scores. Interaction analysis demonstrated relatively stable associations between OASIS and the revised Obsessive-Compulsive Inventory (F822.9=0.09; 95% CI 0.090-0.277; P=.32), and OASIS and the Panic Disorder Severity Scale (F596.6=-0.02; 95% CI -0.108 to -0.065; P=.63) from first the session to the last one, while the 7-item Generalized Anxiety Disorder scale (F4345.8=-0.06; 95% CI -0.109 to -0.017; P=.007), Penn State Worry Questionnaire (F4270.8=-0.52; 95% CI -0.620 to -0.437; P<.001), and Social Phobia Inventory (F862.1=-0.39; 95% CI -0.596 to -0.187; P<.001) interrelated with OASIS more strongly at the last session than at the first one. CONCLUSIONS: OASIS demonstrates clear and relatively stable associations with disorder-specific symptom measures. Thus, OASIS might serve as an outcome measurement instrument for disorder-specific and plausibly transdiagnostic iCBT programs for anxiety disorders in regular clinical practice.

Borderline personality disorder and depression severity predict suicidal outcomes: A six-month prospective cohort study of depression, bipolar depression, and borderline personality disorder.

BACKGROUND: Suicide risk is high in patients with major depressive disorder (MDD), bipolar disorder (BD) and borderline personality disorder (BPD). Whether risk levels of and risk factors for suicidal ideation (SI) and suicide attempts (SA) are similar or different in these disorders remains unclear, as few directly comparative studies exist. The relationship of short-term changes in depression severity and SI is underinvestigated, and might differ across groups, for example, between BPD and non-BPD patients. METHODS: We followed, for 6 months, a cohort of treatment-seeking, major depressive episode (MDE) patients in psychiatric care (original n = 124), stratified into MDE/MDD, MDE/BD and MDE/BPD subcohorts. We examined risks of suicide-related outcomes and their risk factors prospectively. We examined the covariation of SI and depression over time with biweekly online modified Patient Health Questionnaire 9 surveys and analysed this relationship through multi-level modelling. RESULTS: Risk of SA in BPD (22.2%) was higher than non-BPD (4.23%) patients. In regression models, BPD severity was correlated with risk of SA and clinically significant SI. During follow-up, mean depression severity and changes in depression symptoms were associated with SI risk regardless of diagnosis. CONCLUSIONS: Concurrent BPD in depression seems predictive for high risk of SA. Severity of BPD features is relevant for assessing risk of SA and SI in MDE. Changes in depressive symptoms indicate concurrent changes in risk of SI. BPD status at intake can index risk for future SA, whereas depressive symptoms appear a useful continuously monitored risk index.

Social anxiety disorder is a risk factor for alcohol use problems in the National Comorbidity Surveys.

BACKGROUND: According to the self-medication and biopsychosocial models, individuals with social anxiety disorder (SAD) are at increased risk of developing an alcohol use disorder (AUD) as alcohol represents a maladaptive coping mechanism for some sufferers of SAD. The SAD-to-AUD causation was earlier supported in Norwegian longitudinal twin data and later questioned using longitudinal data from the USA. METHODS: We re-analyzed partly the same USA-based data (National Comorbidity Surveys, n = 5001), conducting theoretical and simulation analyses on different formulations of temporality and using real-data Logistic regression analysis to investigate whether baseline SAD was associated with AUD at the follow-up. RESULTS: Upon proper analysis of temporality, SAD preceded AUD. Specifically, SAD was the only one of the seven anxiety disorders that predicted 10-year later AUD after adjusting for all other anxiety disorders and AUD at the baseline (odds ratio was 1.70% and 95% confidence interval 1.12-2.57). SAD was also associated with incident AUD (OR = 1.64, 95% CI = 1.14-2.37). We provide formal, simulation-based, and data-based arguments on how certain flawed models of incidence attenuate the temporal association. CONCLUSIONS: We demonstrated temporality and specificity in SAD-to-AUD association, which are considered signs of causation. We further identified and discussed problems in previous statistical analyses with different conclusions. Our findings add support for models positing causal effects of SAD on AUD, such as the self-medication and biopsychosocial models. The available evidence suggests that treating SAD should incur better chances of preventing AUD compared to treating other anxiety disorders, which lack comparable evidence on causation.

Associations between specific depressive symptoms and psychosocial functioning in psychotherapy.

BACKGROUND: Psychotherapy for depression aims to reduce symptoms and to improve psychosocial functioning. We examined whether some symptoms are more important than others in the association between depression and functioning over the course of psychotherapy treatment. METHODS: We studied associations between specific symptoms of depression (PHQ-9) and change in social and occupational functioning (SOFAS), both with structural equation models (considering liabilities of depression and each specific symptom) and with logistic regression models (considering the risk for individual patients). The study sample consisted of adult patients (n = 771) from the Finnish Psychotherapy Quality Registry (FPQR) who completed psychotherapy treatment between September 2018 and September 2021. RESULTS: Based on our results of logistic regression analyses and SEM models, the baseline measures of depression symptoms were not associated with changes in functioning. Changes in depressed mood or hopelessness, problems with sleep, feeling tired, and feeling little interest or pleasure were associated with improved functioning during psychotherapy. The strongest evidence for symptom-specific effects was found for the symptom of depressed mood or hopelessness. LIMITATIONS: Due to our naturalistic study design containing only two measurement points, we were unable to study the causal relationship between symptoms and functioning. CONCLUSIONS: Changes in certain symptoms during psychotherapy may affect functioning independently of underlying depression. Knowledge about the dynamics between symptoms and functioning could be used in treatment planning or implementation. Depressed mood or hopelessness appears to have a role in the dynamic relationship between depression and functioning.

The p factor of psychopathology and personality in middle childhood: genetic and gestational risk factors.

BACKGROUND: A joint, hierarchical structure of psychopathology and personality has been reported in adults but should also be investigated at earlier ages, as psychopathology often develops before adulthood. Here, we investigate the joint factor structure of psychopathology and personality in eight-year-old children, estimate factor heritability and explore external validity through associations with established developmental risk factors. METHODS: Phenotypic and biometric exploratory factor analyses with bifactor rotation on genetically informative data from the Norwegian Mother, Father, and Child Cohort (MoBa) study. The analytic sub-sample comprised 10 739 children (49% girls). Mothers reported their children's symptoms of depression (Short Moods and Feelings Questionnaire), anxiety (Screen for Anxiety Related Disorders), attention-deficit/hyperactivity disorder inattention and hyperactivity, oppositional-defiant disorder, conduct disorder (Parent/Teacher Rating Scale for Disruptive Behavior Disorders), and Big Five personality (short Hierarchical Personality Inventory for Children). Developmental risk factors (early gestational age and being small for gestational age) were collected from the Medical Birth Registry. RESULTS: Goodness-of-fit indices favored a p factor model with three residual latent factors interpreted as negative affectivity, positive affectivity, and antagonism, whereas psychometric indices favored a one-factor model. ADE solutions fitted best, and regression analyses indicated a negative association between gestational age and the p factor, for both the one- and four-factor solutions. CONCLUSION: Correlations between normative and pathological traits in middle childhood mostly reflect one heritable and psychometrically interpretable p factor, although optimal fit to data required less interpretable residual latent factors. The association between the p factor and low gestational age warrants further study of early developmental mechanisms.

Direction of dependence analysis for pre-post assessments using non-Gaussian methods: a tutorial.

OBJECTIVE: We introduced methods for solving causal direction of dependence between variables observed in pre- and post-psychotherapy assessments, showing how to apply them and investigate their properties via simulations. In addition, we investigated whether changes in depressive symptoms drive changes in social and occupational functioning as suggested by the phase model of psychotherapy or vice versa, or neither. METHOD: As a Gaussian (normal-distribution) model is unidentifiable here, we used an identifiable linear non-Gaussian structural vector autoregression model, conceptualizing instantaneous effects as during-psychotherapy causation and lagged effects as pre-treatment predictors of change. We tested six alternative estimators in six simulation settings that captured different real-world scenarios, and used real psychotherapy data from 1428 adult patients (Finnish Psychotherapy Quality Registry; assessments on Patient Health Questionnaire-9 and Social and Occupational Functioning Assessment Schedule). RESULTS: The methodology was successful in identifying causal directions in simulated data. The real-data results provided no evidence for single direction of dependence, suggesting shared or reciprocal causation. CONCLUSIONS: A powerful new tool was presented to investigate the process of psychotherapy using observational data. Application to patient data suggested that depression symptoms and functioning may reciprocate or reflect third variables instead of one predominantly driving the other during psychotherapy.

Measurement Invariant but Non-Normal Treatment Responses in Guided Internet Psychotherapies for Depressive and Generalized Anxiety Disorders.

Assessment of treatment response in psychotherapies can be undermined by lack of longitudinal measurement invariance (LMI) in symptom self-report inventories, by measurement error, and/or by wrong model assumptions. To understand and compare these threats to validity of outcome assessment in psychotherapy research, we studied LMI, sum scores, and Davidian Curve Item Response Theory models in a naturalistic guided internet psychotherapy treatment register of 2,218 generalized anxiety disorder (GAD) patients and 3,922 depressive disorder (DD) patients (aged ≥16 years). Symptoms were repeatedly assessed by Generalized Anxiety Disorder Assessment-7 (GAD-7) or Beck Depression Inventory. The symptom self-reports adhered to LMI under equivalence testing, suggesting sum scores are reasonable proxies for disorder status. However, the standard LMI assumption of normally distributed latent factors did not hold and inflated treatment response estimates by 0.2 to 0.3 standard deviation units compared with sum scores. Further methodological research on non-normally distributed latent constructs holds promise in advancing LMI and mental health assessment.

Relationship between daily rated depression symptom severity and the retrospective self-report on PHQ-9: A prospective ecological momentary assessment study on 80 psychiatric outpatients.

BACKGROUND: Depression-related negative bias in emotional processing and memory may bias accuracy of recall of temporally distal symptoms. We tested the hypothesis that when responding to the Patient Health Questionnaire (PHQ-9) the responses reflect more accurately temporally proximal than distal mood states. METHODS: Currently, depressed psychiatric outpatients (N = 80) with depression confirmed in semi-structured interviews had the Aware application installed on their smartphones for ecological momentary assessment (EMA). The severity of "low mood", "hopelessness", "low energy", "anhedonia", and "wish to die" was assessed on a Likert scale five times daily during a 12-day period, and thereafter, the PHQ-9 questionnaire was completed. We used auto- and cross-correlation analyses and linear mixed-effects multilevel models (LMM) to investigate the effect of time lag on the association between EMA of depression symptoms and the PHQ-9. RESULTS: Autocorrelations of the EMA of depressive symptom severity at two subsequent days were strong (r varying from 0.7 to 0.9; p < 0.001). "Low mood" was the least and "wish to die" the most temporally stable symptom. The correlations between EMA of depressive symptoms and total scores of the PHQ-9 were temporally stable (r from 0.3 to 0.6; p < 0.001). No effect of assessment time on the association between EMA data and the PHQ-9 emerged in the LMM. LIMITATIONS: Altogether 11.5 % of observations were missing. CONCLUSIONS: Despite fluctuations in severity of some of the depressive symptoms, patients with depression accurately recollect their most dominant symptoms, without a significant recall bias favouring the most recent days, when responding to the PHQ-9.

Finnish Psychotherapy Quality Register: rationale, development, and baseline results.

BACKGROUND: The push to systematically follow treatment outcomes in psychotherapies to improve health care is increasing worldwide. To manage psychotherapeutic services and facilitate tailoring of therapy according to feedback a comprehensive and feasible data system is needed. AIMS: To describe the Finnish Psychotherapy Quality Register (FPQR), a comprehensive database on availability, quality, and outcomes of psychotherapies. METHODS: We describe the development of the FPQR and outcome for outsourced psychotherapies for adults in Helsinki and Uusimaa hospital district (HUS). Symptom severity and functioning are measured with validated measures (e.g. CORE-OM, PHQ-9, OASIS, AUDIT, and SOFAS). Questionnaires on therapeutic alliance, risks, methods, and goals are gathered from patients and psychotherapist. RESULTS: During 2018-2021, the FPQR included baseline data for 7274 unique patients and 336 psychotherapists. Response rate of measures was 85-98%. The use of the register was mandatory for the outsourced therapist of the hospital districts, and the patients were strongly recommended to fulfill the questionnaires. We report outcome for three groups of patients (n = 1844) with final/midterm data. The effect sizes for long psychotherapy (Hedge's g = 0.65 of SOFAS) were smaller than those for short psychotherapy (g = 0.75-0.91). Within three months of referral, 26-60% entered treatment depending on short- or long-term therapy. CONCLUSION: The FPQR forms a novel rich database with commensurate data on availability and outcomes of outsourced psychotherapies. It may serve as a basis for a national comprehensive follow-up system of psychosocial treatments. The Finnish system seems to refer patients with milder symptoms to more intensive treatments and achieve poorer results compared to the IAPT model in UK, Norway, or Australia.

Text Topics and Treatment Response in Internet-Delivered Cognitive Behavioral Therapy for Generalized Anxiety Disorder: Text Mining Study.

BACKGROUND: Text mining methods such as topic modeling can offer valuable information on how and to whom internet-delivered cognitive behavioral therapies (iCBT) work. Although iCBT treatments provide convenient data for topic modeling, it has rarely been used in this context. OBJECTIVE: Our aims were to apply topic modeling to written assignment texts from iCBT for generalized anxiety disorder and explore the resulting topics' associations with treatment response. As predetermining the number of topics presents a considerable challenge in topic modeling, we also aimed to explore a novel method for topic number selection. METHODS: We defined 2 latent Dirichlet allocation (LDA) topic models using a novel data-driven and a more commonly used interpretability-based topic number selection approaches. We used multilevel models to associate the topics with continuous-valued treatment response, defined as the rate of per-session change in GAD-7 sum scores throughout the treatment. RESULTS: Our analyses included 1686 patients. We observed 2 topics that were associated with better than average treatment response: "well-being of family, pets, and loved ones" from the data-driven LDA model (B=-0.10 SD/session/∆topic; 95% CI -016 to -0.03) and "children, family issues" from the interpretability-based model (B=-0.18 SD/session/∆topic; 95% CI -0.31 to -0.05). Two topics were associated with worse treatment response: "monitoring of thoughts and worries" from the data-driven model (B=0.06 SD/session/∆topic; 95% CI 0.01 to 0.11) and "internet therapy" from the interpretability-based model (B=0.27 SD/session/∆topic; 95% CI 0.07 to 0.46). CONCLUSIONS: The 2 LDA models were different in terms of their interpretability and broadness of topics but both contained topics that were associated with treatment response in an interpretable manner. Our work demonstrates that topic modeling is well suited for iCBT research and has potential to expose clinically relevant information in vast text data.

Healthcare workers' heterogeneous mental-health responses to prolonging COVID-19 pandemic: a full year of monthly follow up in Finland.

BACKGROUND: The COVID-19 pandemic strained healthcare workers but the individual challenges varied in relation to actual work and changes in work. We investigated changes in healthcare workers' mental health under prolonging COVID-19 pandemic conditions, and heterogeneity in the mental-health trajectories. METHODS: A monthly survey over a full year was conducted for employees of the HUS Helsinki University Hospital (n = 4804) between 4th June 2020 to 28th May 2021. Pandemic-related potentially traumatic events (PTEs), work characteristics (e.g., contact to COVID-19 patients), local COVID-19 incidence, and demographic covariates were used to predict Mental Health Index-5 (MHI-5) and Insomnia Severity Index (ISI) in generalized multilevel and latent-class mixed model regressions. RESULTS: Local COVID-19 log-incidence (odds ratio, OR = 1.21, with 95% CI = 1.10-1.60), directly caring for COVID-19 patients (OR = 1.33, CI = 1.10-1.60) and PTEs (OR = 4.57, CI = 3.85-5.43) were all independently associated with psychological distress, when (additionally) adjusting for age, sex, profession, and calendar time. Effects of COVID-19 incidence on mental health were dissociable from calendar time (i.e., evolved in time) whereas those on sleep were not. Latent mental-health trajectories were characterized by a large class of "stable mental health" (62% of employees) and minority classes for "early shock, improving" (14%) and "early resilience, deteriorating" mental health (24%). The minority classes, especially "early shock, improving", were more likely to live alone and be exposed to PTEs than the others. CONCLUSIONS: Healthcare workers faced changing and heterogeneous mental-health challenges as the COVID-19 pandemic prolonged. Adversity and mental ill-being may have accumulated in some employees, and factors like living arrangements may have played a role. Knowledge on employees' demographic and socioeconomic background, as well as further research on the factors affecting employees' resilience, may help in maintaining healthy and efficient workforce in the face of a prolonging pandemic.

Bipolar disorder predicted shorter and borderline personality disorder symptoms longer time to remission - A prospective cohort study of major depressive patients.

BACKGROUND: Major depressive episodes (MDEs) of major depressive (MDD) or bipolar disorders (BD) are frequently complicated by features of borderline personality disorder (BPD). Mixed features are a hallmark of BD and affective lability of BPD, and both may markedly influence illness course. However, direct comparisons of outcome of depression in MDD, BD, and BPD are scarce. METHODS: In a cohort study based on stratified sampling, we diagnosed psychiatric MDE patients with SCID-I/P and SCID-II interviews and examined mixed symptoms using the Mix-MDE scale and borderline symptoms using the Borderline Personality Disorder Severity Index. During a six-month prospective follow-up, the MDE patients with MDD (n = 39), BD (n = 33), or BPD (n = 23) completed biweekly online assessments. Using life chart methodology, we divided the follow-up period into qualitatively different mood state periods. We investigated durations of mood episodes, times to first full symptomatic remission, and their predictors. RESULTS: Remission rates were similar in MDD, MDE/BD, and MDE/BPD patients. MDE/BD patients experienced more numerous and shorter distinct mood state periods during follow-up than the others. MDE/BD was associated with shorter (HR = 2.44, 95 % CI = 1.27-4.67) and dimensionally assessed BPD severity with longer time to first remission (HR = 0.95, 95 % CI = 0.91-1.00). LIMITATIONS: Moderate sample size and follow-up duration. CONCLUSIONS: Course of illness over six months differs between the three depressive groups. Bipolar depressive patients have the most alternating course and the shortest time to first period of remission. Dimensionally assessed severity of BPD may predict longer time to remission from depression.

A Two-Week Vacation in the Tropics and Psychological Well-Being-An Observational Follow-Up Study.

Despite the vast annual number of international visitors to the tropics, surprisingly little data are available on the psychological well-being associated with the travels or with travelers' diarrhoea (TD). We herein recruited participants of a vaccination trial, OEV-123, before their 12-day holiday in Benin, West Africa. We assessed the travelers' psychological distress with a general health questionnaire (GHQ-12) and retrieved data on TD from the trial database. The GHQ-12 was completed before (wave 0), at return (wave 1), and 1-month after (wave 2) the trip. Of the 174 participants, 73% were women, with a mean age 40 years. Moreover, 24% reported psychological distress before traveling, 10% immediately after, and 16% 1-month after the trip (GHQ-12, 3 or more; 0−12 scoring). The findings showed that psychological well-being increased after the tropical holiday. The GHQ-12 middle wave sum score differed from the wave 0 (p < 0.001) and wave 2 (p = 0.008) sum scores, with travelers reporting highest levels of well-being on their return, with evidence of a lasting improvement. TD was experienced by 71%, and it had a negative impact on psychological well-being only if experienced after travel.