Risk factors for relapse and recurrence of depression in adults and how they operate: A four-phase systematic review and meta-synthesis

Depression-Anxiety Coupling Strength as a predictor of relapse in major depressive disorder: A CAN-BIND wellness monitoring study report

BACKGROUND

A critical challenge in the study and management of major depressive disorder (MDD) is predicting relapse. We examined the temporal correlation/coupling between depression and anxiety (called Depression-Anxiety Coupling Strength, DACS) as a predictor of relapse in patients with MDD.

METHODS

We followed 97 patients with remitted MDD for an average of 394 days. Patients completed weekly self-ratings of depression and anxiety symptoms using the Quick Inventory of Depressive Symptoms (QIDS-SR) and the Generalized Anxiety Disorder 7-item scale (GAD-7). Using these longitudinal ratings we computed DACS as random slopes in a linear mixed effects model reflecting individual-specific degree of correlation between depression and anxiety across time points. We then tested DACS as an independent variable in a Cox proportional hazards model to predict relapse.

RESULTS

A total of 28 patients (29 %) relapsed during the follow-up period. DACS significantly predicted confirmed relapse (hazard ratio [HR] 1.5, 95 % CI [1.01, 2.22], p = 0.043; Concordance 0.79 [SE 0.04]). This effect was independent of baseline depressive or anxiety symptoms or their average levels over the follow-up period, and was identifiable more than one month before relapse onset.

LIMITATIONS

Small sample size, in a single study. Narrow phenotype and comorbidity profiles.

CONCLUSIONS

DACS may offer opportunities for developing novel strategies for personalized monitoring, early detection, and intervention. Future studies should replicate our findings in larger, diverse patient populations, develop individual patient prediction models, and explore the underlying mechanisms that govern the relationship of DACS and relapse.

In-person psychoeducational intervention to reduce rehospitalizations and improve the clinical course of major depressive disorder: a non-randomized pilot study

Background

Emerging issues in the management of major depressive disorder (MDD) comprise a nonadherence to treatment and treatment failures, depressive recurrence and relapses, misidentification of incoming exacerbated phases and consequently, a chronification of depression. While antidepressant drugs constitute the standard of care for MDD, effective psychosocial interventions are needed to reduce rehospitalizations and other adverse events. The present study primarily investigated the effects and impact of implementing a structured psychoeducational intervention on the clinical course of MDD.

Methods

A non-randomized comparative, pragmatic, pilot, single-center study of adults with nonpsychotic moderate or severe episode of MDD recently discharged from a psychiatric hospitalization. The consecutive subjects were allocated either to the intervention group (N=49) or to the attention control group (N=47), based on their preference. The psychoeducational intervention was based on a modified Munoz's Depression Prevention Course. Subjects were followed up prospectively for two years.

Results

The absolute changes in Beck anxiety inventory scale, Zung's depression questionnaire, and Montgomery and Äsberg depression rating scale (MADRS) total scores at 6-month follow-up were comparable between the two groups. There were lower rates of the rehospitalization within one year (2.1% vs. 16.7%; P<0.001) and less rehospitalizations after one year (6.3% vs. 25%; P<0.001), lower rates of the ongoing sickness absence (11.5% vs. 29.2%; P<0.001), less persons with disability due to MDD at 1-year follow-up (1% vs. 11.5%; P=0.002), and less nonadherent subjects who self-discontinued treatment (6.3% vs. 28.1%; P<0.001) among participants in the intervention group compared to the control group. The disability due to MDD at 1-year follow-up was predicted by the absence of the psychoeducational intervention (P=0.002) and by the MADRS total score at 6-month follow-up (OR 1.10; 95% CI 1.003-1.195; P=0.044). Qualitative data indicated the intervention was desired and appreciated by the participants, as well as being practical to implement in Slovakian clinical settings.

Conclusion

The results suggest the psychoeducational intervention based on a modified Munoz's Depression Prevention Course has beneficial effects in adults with MDD recently discharged from a psychiatric hospitalization. The findings implicate the psychoeducational intervention may offer a new approach to the prevention of depressive relapses.

Association between duration of antidepressant treatment for major depressive disorder and relapse rate after discontinuation: A meta-analysis

The optimal duration of antidepressant treatment for patients with major depressive disorder to reduce the risk of relapse after discontinuation remains uncertain. Medline, Cochrane Central Register of Controlled Trials, and Embase were systematically searched for randomized controlled trials (RCTs) with a discontinuation design. A single-group summary meta-analysis was performed to calculate 6-month relapse rates after discontinuation. Meta-regression with restricted cubic splines was performed to model the non-linear relationship between treatment duration and relapse rate after discontinuation. Thirty-five RCTs were included. The relapse rate after discontinuation was approximately 34.81 % at 6 months and 45.12 % at 12 months. After controlling for covariates, the meta-analysis shows that the duration of treatment is associated with the risk of relapse after discontinuation in a non-linear curve, with a relatively higher risk of relapse observed for a duration of less than three months. There appears to be no further reduction in the risk of relapse when treatment is continued for over six months. Our results indicate the importance of at least three months of treatment to avoid the relatively high risk of relapse after discontinuation. The additional benefit of longer treatment remains to be proven.

Computerized cognitive control training to reduce rumination in major depression: A randomized controlled trial

OBJECTIVE

Rumination is a major risk factor for the onset and recurrence of depressive episodes and has been associated with deficits in updating working memory content. This randomized controlled trial examines whether training updating-specific cognitive control processes reduces daily ruminative thoughts in clinically depressed individuals.

METHODS

Sixty-five individuals with a current major depressive episode were randomized to 10 sessions of either cognitive control training (N = 31) or placebo training (N = 34). The frequency and negativity of individuals' daily ruminative thoughts were assessed for seven days before training, after training, and at a 3-month follow-up using experience sampling methodology. Secondary outcomes were depressive symptoms, depressed mood, and level of disability.

RESULTS

Cognitive control training led to stronger improvements in the trained task than placebo training. However, cognitive control training did not lead to greater reductions in the frequency or negativity of daily ruminative thoughts than placebo training. There were no training-specific effects on participants' depressive symptoms or level of disability.

CONCLUSIONS

The robustness of the present null-findings, combined with the methodological strengths of the study, suggest that training currently depressed individuals to update emotional content in working memory does not affect the frequency or negativity of their daily ruminative thoughts.

Electroconvulsive therapy in the maintenance phase of psychotic unipolar depression

OBJECTIVE

To determine whether the rates of readmissions and suicide vary in psychotic unipolar depression based on whether patients receive maintenance electroconvulsive therapy (M-ECT) following the initial series of ECT, and to examine if there is an age-dependent association.

METHODS

We used Swedish national registries to identify hospitalized patients with psychotic unipolar depression, treated 2008-2019 who received ECT during their hospital stay. The patients who received subsequent M-ECT within 14 days after discharge were compared with those who did not. The primary composite outcome was time to readmission due to a psychiatric disorder, suicide attempt, or suicide within 2 years from discharge. Data were analyzed using Cox regression adjusted for previous psychiatric admissions, age, sex, comorbidity, and pharmacological treatment. We also conducted a within-individual analysis using the sign-test, with patients having ≥1 hospital episode followed by M-ECT and ≥1 hospital episode without M-ECT.

RESULTS

A total of 1873 patients were included, of which 130 received M-ECT. There was no statistically significant group difference regarding the primary outcome in the whole sample. However, when stratified by age, there was a significant difference in favor of M-ECT for patients >65 years (adjusted hazard ratio 0.55, 95% confidence interval 0.35-0.87). The within-individual analysis, including 46 patients, significantly favored M-ECT.

CONCLUSION

M-ECT was not associated with a differential risk of the composite of readmission and suicide in psychotic depression. Among patients >65 years, M-ECT was significantly associated with a decreased risk of the outcome. The possibility of residual confounding cannot be excluded.

Emotion-Induced Frontal Alpha Asymmetry as a Candidate Predictor of Relapse After Discontinuation of Antidepressant Medication

BACKGROUND

One in 3 patients relapse after antidepressant discontinuation. Thus, the prevention of relapse after achieving remission is an important component in the long-term management of major depressive disorder. However, no clinical or other predictors are established. Frontal reactivity to sad mood as measured by functional magnetic resonance imaging has been reported to relate to relapse independently of antidepressant discontinuation and is an interesting candidate predictor.

METHODS

Patients (n = 56) who had remitted from a depressive episode while taking antidepressants underwent electroencephalography (EEG) recording during a sad mood induction procedure prior to gradually discontinuing their medication. Relapse was assessed over a 6-month follow-up period. Thirty five healthy control participants were also tested. Current source density of the EEG power in the alpha band (8-13 Hz) was extracted and alpha asymmetry was computed by comparing the power across 2 hemispheres at frontal electrodes (F5 and F6).

RESULTS

Sad mood induction was robust across all groups. Reactivity of alpha asymmetry to sad mood did not distinguish healthy control participants from patients with remitted major depressive disorder on medication. However, the 14 (25%) patients who relapsed during the follow-up period after discontinuing medication showed significantly reduced reactivity in alpha asymmetry compared with patients who remained well. This EEG signal provided predictive power (69% out-of-sample balanced accuracy and a positive predictive value of 0.75).

CONCLUSIONS

A simple EEG-based measure of emotional reactivity may have potential to contribute to clinical prediction models of antidepressant discontinuation. Given the very small sample size, this finding must be interpreted with caution and requires replication in a larger study.

Interventions promoting recovery from depression for patients transitioning from outpatient mental health services to primary care: A scoping review

INTRODUCTION

Major Depressive Disorder (MDD) is one of the most prevalent mental disorders worldwide with significant personal and public health consequences. After an episode of MDD, the likelihood of relapse is high. Therefore, there is a need for interventions that prevent relapse of depression when outpatient mental health care treatment has ended. This scoping review aimed to systematically map the evidence and identify knowledge gaps in interventions that aimed to promote recovery from MDD for patients transitioning from outpatient mental health services to primary care.

MATERIALS AND METHODS

We followed the guidance by Joanna Briggs Institute in tandem with the PRISMA extension for Scoping Reviews checklist. Four electronic databases were systematically searched using controlled index-or thesaurus terms and free text terms, as well as backward and forward citation tracking of included studies. The search strategy was based on the identification of any type of intervention, whether simple, multicomponent, or complex. Three authors independently screened for eligibility and extracted data.

RESULTS

18 studies were included for review. The studies had high heterogeneity in design, methods, sample size, recovery rating scales, and type of interventions. All studies used several elements in their interventions; however, the majority used cognitive behavioural therapy conducted in outpatient mental health services. No studies addressed the transitioning phase from outpatient mental health services to primary care. Most studies included patients during their outpatient mental health care treatment of MDD.

CONCLUSIONS

We identified several knowledge gaps. Recovery interventions for patients with MDD transitioning from outpatient mental health services to primary care are understudied. No studies addressed interventions in this transitioning phase or the patient's experience of the transitioning process. Research is needed to bridge this gap, both regarding interventions for patients transitioning from secondary to primary care, and patients' and health care professionals' experiences of the interventions and of what promotes recovery.

REGISTRATION

A protocol was prepared in advance and registered in Open Science Framework (https://osf.io/ah3sv), published in the medRxiv server (https://doi.org/10.1101/2022.10.06.22280499) and in PLOS ONE (https://doi.org/10.1371/journal.pone.0291559).

Canadian Network for Mood and Anxiety Treatments (CANMAT) 2023 Update on Clinical Guidelines for Management of Major Depressive Disorder in Adults: Réseau canadien pour les traitements de l'humeur et de l'anxiété (CANMAT) 2023 : Mise à jour des lignes directrices cliniques pour la prise en charge du trouble dépressif majeur chez les adultes

BACKGROUND

The Canadian Network for Mood and Anxiety Treatments (CANMAT) last published clinical guidelines for the management of major depressive disorder (MDD) in 2016. Owing to advances in the field, an update was needed to incorporate new evidence and provide new and revised recommendations for the assessment and management of MDD in adults.

METHODS

CANMAT convened a guidelines editorial group comprised of academic clinicians and patient partners. A systematic literature review was conducted, focusing on systematic reviews and meta-analyses published since the 2016 guidelines. Recommendations were organized by lines of treatment, which were informed by CANMAT-defined levels of evidence and supplemented by clinical support (consisting of expert consensus on safety, tolerability, and feasibility). Drafts were revised based on review by patient partners, expert peer review, and a defined expert consensus process.

RESULTS

The updated guidelines comprise eight primary topics, in a question-and-answer format, that map a patient care journey from assessment to selection of evidence-based treatments, prevention of recurrence, and strategies for inadequate response. The guidelines adopt a personalized care approach that emphasizes shared decision-making that reflects the values, preferences, and treatment history of the patient with MDD. Tables provide new and updated recommendations for psychological, pharmacological, lifestyle, complementary and alternative medicine, digital health, and neuromodulation treatments. Caveats and limitations of the evidence are highlighted.

CONCLUSIONS

The CANMAT 2023 updated guidelines provide evidence-informed recommendations for the management of MDD, in a clinician-friendly format. These updated guidelines emphasize a collaborative, personalized, and systematic management approach that will help optimize outcomes for adults with MDD.

The influence of the gut-brain axis on anxiety and depression: A review of the literature on the use of probiotics

This review aims to argue how using probiotics can improve anxiety and depressive behaviour without adverse effects, also exploring the impact of postbiotics on it. Specifically, probiotics have drawn more attention as effective alternative treatments, considering the rising cost of antidepressant and anti-anxiety drugs and the high risk of side effects. Depression and anxiety disorders are among the most common mental illnesses in the world's population, characterised by low mood, poor general interest, and cognitive or motor dysfunction. Thus, this study analysed published literature on anxiety, depression, and probiotic supplementation from PubMed and Scopus, focusing on the last twenty years. This study focused on the effect of probiotics on mental health as they have drawn more attention because of their extensive clinical applications and positive impact on various diseases. Numerous studies have demonstrated how the gut microbiota might be critical for mood regulation and how probiotics can affect host health by regulating the gut-brain axis. By comparing the different works analysed, it was possible to identify a strategy by which they are selected and employed and, at the same time, to assess how the effect of probiotics can be optimised using postbiotics, an innovation to improve mental well-being in humans.

Annual Research Review: Neuroimmune network model of depression: a developmental perspective

Depression is a serious public health problem, and adolescence is an 'age of risk' for the onset of Major Depressive Disorder. Recently, we and others have proposed neuroimmune network models that highlight bidirectional communication between the brain and the immune system in both mental and physical health, including depression. These models draw on research indicating that the cellular actors (particularly monocytes) and signaling molecules (particularly cytokines) that orchestrate inflammation in the periphery can directly modulate the structure and function of the brain. In the brain, inflammatory activity heightens sensitivity to threats in the cortico-amygdala circuit, lowers sensitivity to rewards in the cortico-striatal circuit, and alters executive control and emotion regulation in the prefrontal cortex. When dysregulated, and particularly under conditions of chronic stress, inflammation can generate feelings of dysphoria, distress, and anhedonia. This is proposed to initiate unhealthy, self-medicating behaviors (e.g. substance use, poor diet) to manage the dysphoria, which further heighten inflammation. Over time, dysregulation in these brain circuits and the inflammatory response may compound each other to form a positive feedback loop, whereby dysregulation in one organ system exacerbates the other. We and others suggest that this neuroimmune dysregulation is a dynamic joint vulnerability for depression, particularly during adolescence. We have three goals for the present paper. First, we extend neuroimmune network models of mental and physical health to generate a developmental framework of risk for the onset of depression during adolescence. Second, we examine how a neuroimmune network perspective can help explain the high rates of comorbidity between depression and other psychiatric disorders across development, and multimorbidity between depression and stress-related medical illnesses. Finally, we consider how identifying neuroimmune pathways to depression can facilitate a 'next generation' of behavioral and biological interventions that target neuroimmune signaling to treat, and ideally prevent, depression in youth and adolescents.

Physical and cognitive correlates, inflammatory levels, and treatment response in post-COVID-19 first-onset vs. recurrent depressive episodes

Psychiatric symptoms have been frequently reported in patients affected by COVID-19, both as new occurring and recurrences of pre-existing diseases. Depressive symptoms are estimated to affect at least 30% of patients following infection, with specific physical and cognitive features and relevant immune-inflammatory alterations. This study aimed to retrospectively characterize post-COVID-19 first-onset and recurrent major depressive episodes (MDE) and to evaluate the effects of antidepressants on physical and cognitive correlates of depression, in addition to mood, anxiety, and underlying inflammatory status. We evaluated 116 patients (44.8% males, 51.1 ± 17 years) with post-COVID-19 first-onset (38.8%) and recurrent (61.2%) MDE at baseline and after one- and three-month treatment with antidepressants (31% SSRIs, 25.9% SNRIs, 43.1% others). We assessed sociodemographic and clinical features and psychopathological dimensions through: Hamilton Depression and Anxiety Rating Scales; Short Form-36 Health Survey Questionnaire; Perceived Deficits Questionnaire-Depression 5-items. The systemic immune-inflammatory index was calculated to measure inflammation levels. Alongside the reduction of depression and anxiety (p < 0.001), physical and cognitive symptoms improved (p < 0.001) and inflammatory levels decreased (p < 0.001) throughout treatment in both groups. Post-COVID-19 recurrent MDE showed a significantly more severe course of physical and cognitive symptoms and persistently higher levels of inflammation than first-onset episodes. Antidepressants proved to be effective in both post-COVID-19 first-onset and recurrent MDE. However, a sustained inflammatory status might blunt treatment response in patients with recurrent depression in terms of physical correlates and cognition. Therefore, personalized approaches, possibly involving combinations with anti-inflammatory compounds, could promote better outcomes in this clinical population.

Hypnotherapy as Treatment for Depression: A Scoping Review

This scoping review aims to provide a comprehensive overview of studies that explore the use of hypnotherapy as a treatment for depression, adhering to the PRISMA-ScR guidelines. A total of 232 articles were identified through systematic search strategies in four databases. Following rigorous screening, 14 studies, varying from case studies to randomized controlled trials, were included in the final review. The age range of participants spanned from 18 to 70 years, and the number of female participants generally exceeded that of males in these studies. Hypnotherapy was found to be frequently used as an adjunct treatment alongside various types of psychotherapy such as cognitive behavioral therapy and often included techniques like hypnotic induction, ego strengthening, and self-hypnosis. The treatment duration varied from 3 sessions to as long as 20 weekly sessions. Most importantly, the majority of the studies found hypnotherapy to be effective in reducing symptoms of depression, with some studies suggesting it has superior effects to antidepressant treatment in areas such as overall health and vitality. This review highlights the potential of hypnotherapy as a viable treatment option for depression and highlights the need for further controlled studies to establish its efficacy.

Trajectories of remitted psychotic depression: identification of predictors of worsening by machine learning

BACKGROUND

Remitted psychotic depression (MDDPsy) has heterogeneity of outcome. The study's aims were to identify subgroups of persons with remitted MDDPsy with distinct trajectories of depression severity during continuation treatment and to detect predictors of membership to the worsening trajectory.

METHOD

One hundred and twenty-six persons aged 18-85 years participated in a 36-week randomized placebo-controlled trial (RCT) that examined the clinical effects of continuing olanzapine once an episode of MDDPsy had remitted with sertraline plus olanzapine. Latent class mixed modeling was used to identify subgroups of participants with distinct trajectories of depression severity during the RCT. Machine learning was used to predict membership to the trajectories based on participant pre-trajectory characteristics.

RESULTS

Seventy-one (56.3%) participants belonged to a subgroup with a stable trajectory of depression scores and 55 (43.7%) belonged to a subgroup with a worsening trajectory. A random forest model with high prediction accuracy (AUC of 0.812) found that the strongest predictors of membership to the worsening subgroup were residual depression symptoms at onset of remission, followed by anxiety score at RCT baseline and age of onset of the first lifetime depressive episode. In a logistic regression model that examined depression score at onset of remission as the only predictor variable, the AUC (0.778) was close to that of the machine learning model.

CONCLUSIONS

Residual depression at onset of remission has high accuracy in predicting membership to worsening outcome of remitted MDDPsy. Research is needed to determine how best to optimize the outcome of psychotic MDDPsy with residual symptoms.

Self-Reported Mood and Lifestyle-Related Physical Activity of Young Adults With Major Depressive Disorder

We investigated whether mood and lifestyle-related indicators of physical health are differentially expressed according to self-reported levels of depressive symptoms among young adults with a current episode of major depression. In a cross-sectional study, we recruited 94 young adults (females = 67, 71.3%; males = 27, 28.7%; aged 18-35 years) with a current episode of major depression. We assessed their mood with the Profile of Mood States (POMS), and Beck Anxiety Inventory-(BAI), sleep with the Pittsburgh Sleep Quality Index (PSQI), physical activity with the Simple Physical Activity Questionnaire (SIMPAQ), and their cardiorespiratory fitness. Participants' depression levels were classified as follows using established cut-points: (a) Mild Depressive Symptoms (MIDS, BDI-II 14-19 points, n = 17), (b) Moderate Depressive Symptoms (MODS, BDI-II 20-28 points, n = 37) or (c) Severe Depressive Symptoms (SEDS, BDI-II 29-63 points, n = 40). As expected, we found that young adults with SEDS, when compared to those with MODS and MIDS, showed higher depressive mood on the POMS, and they exhibited greater anxiety symptoms, lower reported 'vigor' on physical activity measures, worse sleep quality as expressed by their global score sleep; daytime dysfunction; and sleep disturbance, and they showed lower cardiorespiratory fitness. Those with moderate depressive symptoms only differed from those with mild symptoms with respect to hostility, fatigue and mood disturbance. Although there was a gradient whereby worse mental and physical health indicators were more closely related to the SEDS depression categorization, while healthier indicators were associated with the MIDS category, some parameters were not different between the MDD severity groups, particularly when comparing MIDS and MODS. Clinicians treating patients with MDD should consider these factors when designing lifestyle-based interventions.

Associations between psychosocial work environment factors and first-time and recurrent treatment for depression: a prospective cohort study of 24,226 employees

AIMS

Adverse factors in the psychosocial work environment are associated with the onset of depression among those without a personal history of depression. However, the evidence is sparse regarding whether adverse work factors can also play a role in depression recurrence. This study aimed to prospectively examine whether factors in the psychosocial work environment are associated with first-time and recurrent treatment for depression.

METHODS

The study included 24,226 participants from the Danish Well-being in Hospital Employees study. We measured ten individual psychosocial work factors and three theoretical constructs (effort-reward imbalance, job strain and workplace social capital). We ascertained treatment for depression through registrations of hospital contacts for depression (International Statistical Classification of Diseases and Related Health Problems version 10 [ICD-10]: F32 and F33) and redeemed prescriptions of antidepressant medication (Anatomical Therapeutic Chemical [ATC]: N06A) in Danish national registries. We estimated the associations between work factors and treatment for depression for up to 2 years after baseline among those without (first-time treatment) and with (recurrent treatment) a personal history of treatment for depression before baseline. We excluded participants registered with treatment within 6 months before baseline. In supplementary analyses, we extended this washout period to up to 2 years. We applied logistic regression analyses with adjustment for confounding.

RESULTS

Among 21,156 (87%) participants without a history of treatment for depression, 350 (1.7%) had first-time treatment during follow-up. Among the 3070 (13%) participants with treatment history, 353 (11%) had recurrent treatment during follow-up. Those with a history of depression generally reported a more adverse work environment than those without such a history. Baseline exposure to bullying (odds ratio [OR] = 1.72, 95% confidence interval [95% CI]: 1.30-2.32), and to some extent also low influence on work schedule (OR = 1.27, 95% CI: 0.97-1.66) and job strain (OR = 1.24, 95% CI: 0.97-1.57), was associated with first-time treatment for depression during follow-up. Baseline exposure to bullying (OR = 1.40, 95% CI: 1.04-1.88), lack of collaboration (OR = 1.31, 95% CI: 1.03-1.67) and low job control (OR = 1.27, 95% CI: 1.00-1.62) were associated with recurrent treatment for depression during follow-up. However, most work factors were not associated with treatment for depression. Using a 2-year washout period resulted in similar or stronger associations.

CONCLUSIONS

Depression constitutes a substantial morbidity burden in the working-age population. Specific adverse working conditions were associated with first-time and recurrent treatment for depression and improving these may contribute to reducing the onset and recurrence of depression.

Impact of depersonalization on the course of depression: longitudinal observations from the gutenberg health study

BACKGROUND

Symptoms of depersonalization (DP) and derealization (DR) are a risk factor for more severe impairment, non-response to various treatments, and a chronic course. In this study, we investigated the effects of DP/DR symptoms in patients with clinically significant depressive symptoms on clinical characteristics and various outcomes in a representative population-based sample with a 5-year follow-up.

METHODS

The middle-aged sample comprised n = 10,422 persons at baseline, of whom n = 9,301 were free from depressive and DP/DR symptoms. N = 522 persons had clinically significant depression (PHQ-9 ≥ 10) and co-occurring DP/DR symptoms, and n = 599 persons had clinically significant depression (PHQ-9 ≥ 10) without DP/DR symptoms.

RESULTS

There were substantial health disparities between persons with and without depression. These disparities concerned a wide range of life domains, including lower quality of the recalled early life experiences with the parents, current socioeconomic status, social integration (partnership, loneliness), current social and interpersonal stressors (family, work), functional bodily complaints (e.g., tinnitus, migraine, chest pain), unhealthy lifestyle, and the prevalence of already developed physical diseases. These disparities persisted to the 5-year follow-up and were exceptionally severe for depressed persons with co-occurring DP/DR symptoms. Among the depressed persons, the co-occurrence of DP/DR symptoms more than doubled the risk for recurrence or persistence of depression. Only 6.9% of depressed persons with DP/DR symptoms achieved remission at the 5-year follow-up (PHQ-9 < 5). Depression with and without co-occurring DP/DR worsened self-rated physical health significantly. The impact of depression with co-occurring DP/DR on the worsening of the self-rated physical health status was stronger than those of age and major medical diseases (e.g., heart failure). However, only depression without DP/DR was associated with mortality in a hazard regression analysis adjusted for age, sex, and lifestyle.

CONCLUSIONS

The results demonstrated that DP/DR symptoms represent an important and easily assessable prognostic factor for the course of depression and health outcomes. Given the low remission rates for depression in general and depression with DP/DR in particular, efforts should be made to identify and better support this group, which is disadvantaged in many aspects of life.

From smartphone data to clinically relevant predictions: A systematic review of digital phenotyping methods in depression

BACKGROUND

Smartphone-based digital phenotyping enables potentially clinically relevant information to be collected as individuals go about their day. This could improve monitoring and interventions for people with Major Depressive Disorder (MDD). The aim of this systematic review was to investigate current digital phenotyping features and methods used in MDD.

METHODS

We searched PubMed, PsycINFO, Embase, Scopus and Web of Science (10/11/2023) for articles including: (1) MDD population, (2) smartphone-based features, (3) validated ratings. Risk of bias was assessed using several sources. Studies were compared within analysis goals (correlating features with depression, predicting symptom severity, diagnosis, mood state/episode, other). Twenty-four studies (9801 participants) were included.

RESULTS

Studies achieved moderate performance. Common themes included challenges from complex and missing data (leading to a risk of bias), and a lack of external validation.

DISCUSSION

Studies made progress towards relating digital phenotypes to clinical variables, often focusing on time-averaged features. Methods investigating temporal dynamics more directly may be beneficial for patient monitoring. European Research Council consolidator grant: 101001118, Prospero: CRD42022346264, Open Science Framework: https://osf.io/s7ay4.

Fear of depression recurrence among individuals with remitted depression: a qualitative interview study

BACKGROUND

Major Depressive Disorder (MDD) is a prevalent psychiatric condition and the largest contributor to disability worldwide. MDD is highly recurrent, yet little is known about the mechanisms that occur following a Major Depressive Episode (MDE) and underlie recurrence. We explored the concept of fear of depression recurrence (FoDR) and its impact on daily functioning among individuals in remission from MDD.

METHODS

30 participants (83% female; 37% White; Mage = 27.7, SD = 8.96) underwent semi-structured qualitative interviews. The interviews explored participants' experiences of FoDR including the frequency, severity, content, triggers, and impact of fears and associated coping strategies. We used content analysis to analyze the transcriptions.

RESULTS

Most participants (73%) reported having FoDR, with varying frequency, severity, and duration of fears. The triggers and content of participants' fears often mirrored the symptoms (e.g., low mood, anhedonia) and consequences (e.g., job loss, social withdrawal) endured during past MDEs. Some participants reported a minimal impact of FoDR on daily functioning, whereas others reported a positive (e.g., personal growth) or negative (e.g., increased anxiety) influence.

LIMITATIONS

Our sample size did not allow for explorations of differences in FoDR across unique MDD subtypes or sociocultural factors.

CONCLUSIONS

The concept of FoDR may present a window into understanding the unique cognitive and behavioural changes that occur following MDD remission and underlie depression recurrence. Future research should aim to identify underlying individual differences and characteristics of the disorder that may influence the presence and impact of FoDR. Finally, a FoDR measure should be developed so that associations between FoDR and recurrence risk, depressive symptoms, and other indices of functioning can be determined.

Gender differences in prevalence and associations between cognitive symptoms and suicidal ideation in patients with recurrent major depressive disorder: findings from the Chinese NSSD study

BACKGROUND

This study aimed to explore gender differences in associations between cognitive symptoms and suicidal ideation (SI) among patients with recurrent major depressive disorder (MDD).

METHODS

We recruited 1222 patients with recurrent MDD from the National Survey on Symptomatology of Depression (NSSD), a survey designed to investigate the symptoms experienced during current major depressive episodes in China. A four-point Likert questionnaire was used to assess the frequency of cognitive symptoms and SI in the past two weeks.

RESULTS

Gender differences in clinical features and cognitive symptoms of participants with recurrent MDD were found. Specifically, male patients had a higher prevalence of memory loss, decreased verbal output, indecisiveness, and impaired interpersonal relationships, while female patients exhibited a higher prevalence of impaired social and occupational functioning (all P < 0.05). No significant difference in SI prevalence was found between male and female patients. The logistic regression analysis revealed that in male patients, SI was associated with indecisiveness and impaired interpersonal relationships. In female patients, reduced verbal output and impaired social and professional functions were also associated with SI in addition to the above-mentioned variables.

CONCLUSION

The findings of gender differences in associations between cognitive symptoms and SI highlight the need to carefully assess gender-specific cognitive predictors of SI in patients with recurrent MDD. This has further implications for more targeted prevention and treatment strategies for SI based on gender.

Quantile regression to explore association of sleep duration with depression among adults in NHANES and KNHANES

BACKGROUND

Sleep duration has been associated with depression. However, mean regression, such as linear regression or logistic regression, may not capture relationships that occur mainly in the tails of outcome distribution. This study aimed to evaluate the associations between sleep duration and depression along the entire distribution of depression using quantile regression approach.

METHODS

This study included 55,954 adults aged 18 to 80 years from the National Health and Nutrition Examination Survey (N = 34,156) and the Korea National Health and Nutrition Examination Survey (N = 21,798). The coefficients corresponding to cross-group differences in PHQ-9 scores were estimated when comparing short or long sleep duration with normal sleep duration on deciles of PHQ-9 score distribution.

RESULTS

At lower quantiles, either short or long sleep duration was not associated with depression. At higher quantiles, the association of both short and long sleep duration with depression became much more pronounced. Compared with normal sleep duration, short and long sleep duration were associated with increases of 1.34 (95 % CI: 1.16, 1.51) and 0.28 (95 % CI: 0.04, 0.52) in PHQ-9 scores at the 50th quantile, while the corresponding increases were 3.27 (95 % CI: 2.83, 3.72) and 1.65 (95 % CI: 0.86, 2.45) at the 90th quantile, respectively. We also found that the magnitude of association between short sleep duration and depression was stronger among females and individuals with chronic diseases.

CONCLUSIONS

The beneficial effect of sufficient sleep in decreasing depression severity may be more evident among individuals with severe depression. Further studies could explore whether these heterogeneous associations can be generalized to populations with different characteristics.

Antipsychotics in the maintenance phase for psychotic depression

OBJECTIVE

This study aimed to associate antidepressants with versus without antipsychotics with readmission and suicide in patients with psychotic unipolar depression.

METHODS

Swedish national registers were used to identify inpatients with psychotic unipolar depression, treated 2007-2016. The participants collected antidepressants with or without antipsychotics from a pharmacy within 14 days after discharge and were followed up for 2 years. The primary outcome was hospital readmission due to any psychiatric disorder, suicide attempt, or completed suicide. Cox regression was used to analyze the data, which were adjusted for sex, age, prior admissions, comorbidity, electroconvulsive therapy, and other pharmacological treatments.

RESULTS

We identified 4391 patients, of which 2972 were in the antidepressant + antipsychotic combination therapy group, and 1419 were in the antidepressant monotherapy group. After 2 years, 42.3% and 36.6% of patients were readmitted or committed suicide in the combination therapy and monotherapy group, respectively. Monotherapy was significantly associated with a lower risk of reaching the outcome in the main analysis (hazard ratio = 0.86; 95% confidence interval: 0.77-0.95). The results went in the same direction in all sensitivity analyses.

CONCLUSION

Our findings do not indicate any advantage of adding antipsychotics as adjunctive to antidepressants as maintenance treatment. Considering the wide use, known side effects, and the current lack of evidence supporting the benefit, further studies on the effect of antipsychotics in the maintenance phase of psychotic unipolar depression are urgently warranted.

Virtual reality working memory training improves cognitive performance of acute and remitted patients with major depressive disorder

BACKGROUND

Cognitive training is effective in treating neuropsychological impairment in patients with major depressive disorder (MDD), and virtual reality (VR) is a promising tool to provide such training. However, studies using VR-based working memory (WM) training in treating depressed patients' cognitive impairment are extremely scarce and how it affects cognitive performance remains unclear. Therefore, we aimed to determine the efficacy of VR-WM training in acute and remitted depressed patients and try to investigate its potential mechanisms.

METHODS

Forty-two patients with MDD (22 acute patients and 20 remitted patients) received 20-session VR-WM training, while 22 healthy controls (HC) received no intervention. WM and other cognitive domains' performance were assessed by the Massachusetts General Hospital Cognitive and Physical Functioning Questionnaire (CPFQ) and the MATRICS Consensus Cognitive Battery (MCCB) before and after the intervention. Depressive symptoms were assessed by the 24-item Hamilton Depression Rating Scale (24-HDRS) at the same time points.

RESULTS

Acute and remitted MDD patients both exhibited significant improvements from pre- to post-training in WM, processing speed, visual learning, reasoning and problem-solving, and total cognition (all p < 0.05). Significant groups-by-time interactions were observed for the 24-HDRS score (p < 0.05). Mediation analysis showed that 24-HDRS score partially mediated the association between the effect of VR-WM training on WM and total cognition performance in total depressive samples.

CONCLUSIONS

VR-WM training effectively improved WM and other cognitive domains' performance in both acute and remitted MDD patients. Besides, VR-WM training improves WM and total cognition performance in MDD patients partially via the enhancement of depressive symptoms.

Mental, physical, and social well-being and quality of life in healthy young adult twin pairs discordant and concordant for body mass index

OBJECTIVE

The relationship between obesity and mental health is complex and is moderated by the level of obesity, age, sex, and social and genetic factors. In the current study, we used a unique co-twin control design, with twin pairs discordant for body mass index (BMI), to control for shared genetic and environmental effects between obesity and several dimensions of mental health.

METHODS

We studied 74 monozygotic (MZ) twin pairs, of whom 36 were BMI-discordant (intra-pair difference in BMI ≥ 3 kg/m2), and 77 dizygotic (DZ) twin pairs (46 BMI-discordant). We assessed subjective health, especially mental health and mental well-being (depression, anxiety, self-esteem, health-related quality of life, life satisfaction, and social well-being) through questionnaires.

RESULTS

Heavier MZ co-twins from BMI-discordant pairs had poorer general health (58.8±3.0 vs. 72.4±3.8, P = 0.001, FDR = 0.017 on a scale from 0 to 100 where higher scores indicate more positive results), physical functioning (90.3±1.1 vs. 95.5±2.2, P = 0.024, FDR = 0.122), energy levels (55.6±3.4 vs. 66.6±3.3, P = 0.013, FDR = 0.109), and emotional well-being (65.9±3.2 vs. 75.4±2.9, P = 0.031, FDR = 0.122), as well as a tendency for depressive symptoms (8.4±1.3 vs. 5.6±0.9, P = 0.071, FDR = 0.166) compared to their leaner co-twins. Heavier DZ co-twins had poorer total physical well-being (91.6±1.9 vs. 95.6±1.0, P = 0.035, FDR = 0.356) and more depressive symptoms (4.3±0.9 vs. 2.4±0.5, P = 0.016, FDR = 0.345 on a scale from 0 to 63 where lower scores indicate fewer depressive symptoms) than their leaner co-twins. Association analyses, using all twin pairs, confirmed that higher BMI within pairs linked to general health, physical functioning and depressive symptoms. No association was found between BMI and anxiety, self-esteem, life satisfaction, or social well-being.

CONCLUSIONS

In conclusion, this study underscores the notable association between elevated BMI and physical well-being and to a lesser extent between elevated BMI and depressive symptoms, while revealing no discernible connections with anxiety, self-esteem, life satisfaction, or social well-being.

Risk factors for relapse or recurrence in women with bipolar disorder and recurrent major depressive disorder in the perinatal period: a systematic review

It is well known that the perinatal period supposes a considerable risk of relapse for women with bipolar disorder (BD) and recurrent major depressive disorder (rMDD), with the consequences that this entails. Therefore, the authors sought to provide a critical appraisal of the evidence related to specific risk factors for this population with the aim of improving the prevention of relapses during pregnancy and postpartum. The authors conducted a systematic review assessing 18 original studies that provided data on risk factors for relapse or recurrence of BD and/or rMDD in the perinatal period (pregnancy and postpartum). Recurrences of BD and rMDD are more frequent in the postpartum period than in pregnancy, with the first 4-6 weeks postpartum being especially complicated. In addition, women with BD type I are at higher risk than those with BD type II and rMDD, and the most frequent presentation of perinatal episodes of both disorders is a major depressive episode. Other risk factors consistently repeated were early age of onset of illnesses, severity criteria, primiparity, abrupt discontinuation of treatment, and personal or family history of perinatal affective episodes. This review shows that there are common and different risk factors according to the type of disorder and to perinatal timing (pregnancy or postpartum) that should be known for an adequate prevention of relapses.

Functional connectivity of salience and affective networks among remitted depressed patients predicts episode recurrence

Recurrent episodes in major depressive disorder (MDD) are common but the neuroimaging features predictive of recurrence are not established. Participants in the Predictors of Remission in Depression to Individual and Combined Treatments (PReDICT) study who achieved remission after 12 weeks of treatment withcognitive behavior therapy, duloxetine, or escitalopram were prospectively monitored for up to 21 months for recurrence. Neuroimaging markers predictive of recurrence were identified from week 12 functional magnetic resonance imaging scans by analyzing whole-brain resting state functional connectivity (RSFC) using seeds for four brain networks that are altered in MDD. Neuroimaging correlates of established clinical predictors of recurrence, including the magnitude of depressive (Hamilton Depression Rating Scale), anxiety (Hamilton Anxiety Rating Scale) symptom severity at time of remission, and a comorbid anxiety disorder were examined for their similarity to the neuroimaging predictors of recurrence. Of the 344 patients randomized in PReDICT, 61 achieved remission and had usable scans for analysis, 9 of whom experienced recurrence during follow-up. Recurrence was predicted by: 1) increased RSFC between subcallosal cingulate cortex (SCC) and right anterior insula, 2) decreased RSFC between SCC and bilateral primary visual cortex, and 3) decreased RSFC between insula and bilateral caudate. Week 12 depression and anxiety scores were negatively correlated with RSFC strength between executive control and default mode networks, but they were not correlated with the three RSFC patterns predicting recurrence. We conclude that altered RSFC in SCC and anterior insula networks are prospective risk factors associated with MDD recurrence, reflecting additional sources of risk beyond clinical measures.

Residual symptoms following electroconvulsive therapy: A retrospective cohort study

BACKGROUND

Residual depressive symptoms following treatment are a burden for patients and are associated with increased risk of relapse. While this phenomenon has been explored following pharmacotherapy, there is little research into residual symptoms following electroconvulsive therapy (ECT). This study quantifies the frequency and type of residual symptoms following ECT treatment.

METHODS

This study used retrospective data from patients receiving ECT as part of routine clinical care. Depressive symptomatology was assessed using the Quick Inventory of Depressive Symptomatology - Self-Report 16 item scale (QIDS), which includes 9 symptom domains graded from 0 to 3. We quantified the frequency of mild or greater (QIDS≥1) and moderate or greater (QIDS ≥ 2) residual symptoms following treatment among patients responding to ECT (QIDS decrease ≥50 % from baseline) and non-responders (QIDS decrease <50 %).

RESULTS

Among 1799 patients, 1015 (56.4 %) responded to ECT and 784 (43.6 %) did not. Among responders, 99.5 % had at least one residual symptom of mild severity or greater (median = 5, IQR = 3-6) and 83.3 % had at least one residual symptom of moderate severity or greater (median = 1, IQR = 1-2). Among non-responders, 100 % had residual symptoms of mild severity or greater (median = 8, IQR = 7-9), and 99.2 % had a residual symptom of moderate severity or greater (median = 4, IQR = 3-5). The most common residual symptoms among both responders and non-responders were sleep disturbances (93.1 % and 98.7 %, respectively) and sadness (68.9 % and 96.4 %, respectively).

LIMITATIONS

Retrospective data from a single freestanding psychiatric hospital.

CONCLUSION

Among patients with depression receiving ECT, there were high rates of residual symptoms even among patients responding to treatment.

Identifying relapse predictors in individual participant data with decision trees

BACKGROUND

Depression is a highly common and recurrent condition. Predicting who is at most risk of relapse or recurrence can inform clinical practice. Applying machine-learning methods to Individual Participant Data (IPD) can be promising to improve the accuracy of risk predictions.

METHODS

Individual data of four Randomized Controlled Trials (RCTs) evaluating antidepressant treatment compared to psychological interventions with tapering ([Formula: see text]) were used to identify predictors of relapse and/or recurrence. Ten baseline predictors were assessed. Decision trees with and without gradient boosting were applied. To study the robustness of decision-tree classifications, we also performed a complementary logistic regression analysis.

RESULTS

The combination of age, age of onset of depression, and depression severity significantly enhances the prediction of relapse risk when compared to classifiers solely based on depression severity. The studied decision trees can (i) identify relapse patients at intake with an accuracy, specificity, and sensitivity of about 55% (without gradient boosting) and 58% (with gradient boosting), and (ii) slightly outperform classifiers that are based on logistic regression.

CONCLUSIONS

Decision tree classifiers based on multiple-rather than single-risk indicators may be useful for developing treatment stratification strategies. These classification models have the potential to contribute to the development of methods aimed at effectively prioritizing treatment for those individuals who require it the most. Our results also underline the existing gaps in understanding how to accurately predict depressive relapse.

Functional MRI correlates of emotion regulation in major depressive disorder related to depressive disease load measured over nine years

Major Depressive Disorder (MDD) often is a recurrent and chronic disorder. We investigated the neurocognitive underpinnings of the incremental risk for poor disease course by exploring relations between enduring depression and brain functioning during regulation of negative and positive emotions using cognitive reappraisal. We used fMRI-data from the longitudinal Netherlands Study of Depression and Anxiety acquired during an emotion regulation task in 77 individuals with MDD. Task-related brain activity was related to disease load, calculated from presence and severity of depression in the preceding nine years. Additionally, we explored task related brain-connectivity. Brain functioning in individuals with MDD was further compared to 35 controls to explore overlap between load-effects and general effects related to MDD history/presence. Disease load was not associated with changes in affect or with brain activity, but with connectivity between areas essential for processing, integrating and regulating emotional information during downregulation of negative emotions. Results did not overlap with general MDD-effects. Instead, MDD was generally associated with lower parietal activity during downregulation of negative emotions. During upregulation of positive emotions, disease load was related to connectivity between limbic regions (although driven by symptomatic state), and connectivity between frontal, insular and thalamic regions was lower in MDD (vs controls). Results suggest that previous depressive load relates to brain connectivity in relevant networks during downregulation of negative emotions. These abnormalities do not overlap with disease-general abnormalities and could foster an incremental vulnerability to recurrence or chronicity of MDD. Therefore, optimizing emotion regulation is a promising therapeutic target for improving long-term MDD course.

Exploring the clinical characteristics and etiological factors of comorbid major depressive disorder and social anxiety disorder

The comorbidity between the major depressive disorder (MDD) and the social anxiety disorder (SAD) is significantly prevalent, necessitating a nuanced understanding of their overlapping clinical characteristics and shared etiological factors, including inflammatory biomarkers. To address this, we conducted a cross-sectional study from December 2021 to June 2022, encompassing 204 outpatients diagnosed with MDD-SAD comorbidity. We employed various psychometric assessments, such as the Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), Childhood Trauma Questionnaire (CTQ-28), Toronto Alexithymia Scale (TAS-20) and the Liebowitz Social Anxiety Scale (LSAS). Additionally, we analyzed inflammatory biomarkers including the neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte platelet ratio (NLPR), systemic inflammation index (SII), and the systemic inflammation response index (SIRI). Our findings accentuated that patients primarily diagnosed with MDD exhibited elevated levels of certain inflammatory biomarkers. They reported more severe and atypical depressive symptoms (75.7% vs 58.5%; P = 0.010) and had significantly higher CTQ-28 subscale scores (P < 0.05). Our study unveils a complex relationship between MDD and SAD, with significant disparities in the symptom severity and inflammatory biomarker levels, thereby establishing a compelling case for dual-diagnosis treatment approaches. It elucidates the critical role of inflammation in the comorbidity of MDD and SAD, marking a pioneering step towards more comprehensive and holistic patient care strategies. These insights could potentially revolutionize therapeutic approaches in psychiatric care, promising significantly improved outcomes through early detection and integrated intervention strategies.

Treatments for partial remission of major depressive disorder: a systematic review and meta-analysis

QUESTION

Partial remission of major depressive disorder (MDD) is a debilitating and distressing clinical state related to chronicity, morbidity and relapse. Although one-third of patients remit partially, evidence for treatment efficacy is unclear. We provide an overview of treatment options and their efficacy.

STUDY SELECTION AND ANALYSIS

Embase, PsycINFO, Medline and SCOPUS were systematically searched through February 2023. Included were randomised controlled trials (RCTs) examining any treatment in patients with partially remitted MDD aged 13-65 years, reporting data on severity, remission or relapse.

FINDINGS

Seven RCTs examining psychotherapy including 1024 patients were eligible. There were not enough RCTs to examine effects of pharmacotherapy. Psychotherapy was associated with lower depressive symptom severity at post-treatment (Hedges' g=0.50; 95% CI 0.23 to 0.76), but not at follow-up up to 1 year (Hedges' g=0.36; 95% CI -0.30 to 1.02) or longer (Hedges' g=0.02; 95% CI -0.09 to 0.12). Psychotherapy was associated with superior remission rates at post-treatment (OR 2.57; 95% CI 1.71 to 3.87) and follow-up 6 months or longer (OR 1.75; 95% CI 1.21 to 2.53), although not with improved relapse rates at post-treatment (OR 0.17; 95% CI 0.01 to 4.83) or follow-up 6 months or longer (OR 0.46; 95% CI 0.21 to 1.03). Overall methodological quality was poor.

CONCLUSIONS

Psychotherapy targeting partial remission may be effective in lowering depressive symptom severity and patients may potentially achieve full remission twice as likely. Yet, long-term and prophylactic effects are lacking. Given the risk of chronicity, more high-quality RCTs are needed.

PROSPERO REGISTRATION NUMBER

CRD42020188451.

Capturing mood dynamics through adolescent smartphone social communication

Most adolescents with depression remain undiagnosed and untreated-missed opportunities that are costly from both personal and public health perspectives. A promising approach to detecting adolescent depression in real-time and at a large scale is through their social communication on the smartphone (e.g., text messages, social media posts). Past research has shown that language from online social communication reliably indicates interindividual differences in depression. To move toward detecting the emergence of depression symptoms intraindividually, the present study tested whether sentiment (i.e., words connoting positive and negative affect) from smartphone social communication prospectively predicted daily mood fluctuations in 83 adolescents (Mage = 16.49, 73.5% female) with a wide range of depression severity. Participants completed daily mood ratings across a 90-day period, during which 354,278 messages were passively collected from social communication apps. Greater positive sentiment (i.e., more positive weighted composite valence score and a greater proportion of words expressing positive sentiment) predicted more positive next-day mood, controlling for previous-day mood. Moreover, greater proportions of positive and negative sentiment were, respectively, associated with lower anhedonia and greater dysphoria symptoms measured at baseline. Exploratory analyses of nonaffective linguistic features showed that greater use of social engagement words (e.g., friends and affiliation) and emojis (primarily consisting of hearts) predicted more positive changes in mood. Collectively, findings suggest that language from smartphone social communication can detect mood fluctuations in adolescents, laying the foundation for language-based tools to identify periods of heightened depression risk. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Associations of allergy-related outcomes with depression in the US adults

Evidences showed the link between allergy and depression, while the relationships of depression with allergy-related outcomes is insufficient. The objective of this study is to evaluate and compare the relationship of depression with allergy-related outcomes assessed using two different outcome indicators, in a population-based study. A cross-sectional study was performed of 1094 participants in the 2005-2006 National Health and Nutrition Examination Survey (NHANES). The self-reported allergic symptoms of allergic rhinitis (AR) status and immunoglobulin E (IgE) were used to evaluate the allergy-related outcomes. The depression disorder was defined as the ≥ 10 points on the Patient Health Questionnaire-9. Logistic and linear regression models were performed to illustrate the associations of depression and allergy-related outcomes. The prevalence of AR and depression was 34.2% and 6.8%, respectively. The odds of depression were 8.6% higher in participants with AR patients compared those without AR [odds ratio (OR) = 1.739, 95% confidence interval (CI): (1.034, 2.933)], while the odds of depression in participants with allergic sensitization and without allergic sensitization were not found significant difference. Allergy is positively associated with depression disorder, and patients with allergy-related outcomes, such as AR, may be at higher risk of depression, while the IgE level was not founded to be related with depression. In the treatment of AR patients with depression symptoms, early detection and management of mental problems are of importance.

Longitudinal interactions between residual symptoms and physiological stress in the remitted symptom network structure of depression

Residual symptoms and stress are amongst the most reliable predictors of relapse in remitted depression. Standard methodologies often preclude continuous stress sampling or the evaluation of complex symptom interactions. This limits knowledge acquisition relative to the day-to-day interactions between residual symptoms and stress. The study aims to explore the interactions between physiological stress and residual symptoms network structure in remitted depression. Twenty-two individuals remitted from depression completed baseline, daily diary (DD), and post-DD assessments. Self-reported stress and residual symptoms were measured at baseline and post-DD. Daily diaries required participants to use a wearable electrodermal activity (EDA) device during waking hours and complete residual symptom measures twice daily for 3-weeks. Two-step multilevel vector auto-regression models were used to estimate contemporaneous and dynamic networks. Depressed mood and concentration problems were central across networks. Skin conductance responses (SCRs), suicide, appetite, and sleep problems were central in the temporal and energy loss in the contemporaneous network. Increased SCRs predicted decreased energy loss. Residual symptoms and stress showed bi-directional interactions. Overall, depressed mood and concentration problems were consistently central, thus potentially important intervention targets. Non-obtrusive bio-signal measures should be used to provide the clinical evidence-base for modelling the interactions between depressive residual symptoms and stress. Practical implications are discussed throughout related to focusing on symptom-specific interactions in clinical practice, simultaneously reducing residual symptom and stress occurrences, EDA as pioneering signal for stress detection, and the central role of specific residual symptoms in remitted depression.

Association between all aspects of dietary diversity and risk of depressive symptoms in US adults

The impact of dietary diversity on depressive symptoms remains one-sided. We aim to explore the associations between all aspects of dietary diversity and the risk of depressive symptoms in US adults and their dose-response relationships. We selected 16 820 adults from the National Health and Nutrition Examination Survey (NHANES) from 2013 to 2018. Depressive symptoms were assessed using patient health questionnaire-9 (PHQ-9). Dietary diversity contains four indexes: count (dietary diversity score, DDS), evenness (Healthy Food Diversity Index, HFDI), dissimilarity (Jaccard distance, JD), and quality (Healthy Eating Index, HEI). Binary logistic regression was conducted to assess relationships between the four aspects of dietary diversity and depressive symptoms in whole and subgrouped populations. A restricted cubic spline was performed to explore the dose-response relationships. We revealed that DDS [0.20 (0.05, 0.73)], HFDI [0.51 (0.28, 0.94)], and HEI [0.46 (0.26, 0.80)] were inversely associated with the risk of depressive symptoms for the highest VS lowest quintile, especially in females and elders. Analysis of dose-response relationships determined linear relationships of DDS, HEI and depressive symptoms, while an "L" shaped relationship of HFDI and depressive symptoms. Adequate dietary diversity showed a significant effect on decreasing the risk of depressive symptoms at a score of 4 in DDS, 0.3 in HFDI, and a score of 51 in HEI. In conclusion, this study found that higher levels of dietary diversity, including count, evenness, and quality, might be protective factors against depressive symptoms, especially in females and elders. The DDS, HFDI, and HEI scores are recommended as 4, 0.3, and 51, respectively. Further investigation is needed to validate our results.

Deficits in specific executive functions manifest by severity in major depressive disorder: a comparison of antidepressant naïve inpatient, outpatient, subclinical, and healthy control groups

Introduction

Previous research has highlighted the executive function (EF) deficits present in depressed patients; however, conflicting results exist regarding the impact of depression severity on the size of these deficits. This study aimed to compare deficits in EF between antidepressant naïve inpatient and outpatient depressed, a group with subclinical depression symptoms, and a healthy control group while controlling for education, sex, and age.

Methods

In cross-sectional research, 245 antidepressant naive participants (46 inpatient, 68 outpatient, 65 subclinical, and 67 healthy control individuals) were recruited by convenience sampling. The Structured Clinical Interview for DSM-5 Disorders (SCID-5) and Beck Depression Inventory-II (BDI-II) were used to assess depression. EF was measured using several neuropsychological tests, including the Stroop Color-Word Test, the Wisconsin Card Sorting Test, and the N-back Test, which assessed the components of Inhibition, Shifting, and Updating, respectively. Multivariate analysis of covariance revealed a significant difference between the groups in EF components (p < 0.001). Pairwise comparisons further showed that inpatient and outpatient patients had more depressive symptoms and worse EF performance than subclinical and healthy control groups (p < 0.05).

Results

In the analysis of EF measures, a significant difference was found among the four groups, with post-hoc tests revealing variations in specific EF components. Overall, patients with more severe depressive symptoms show more deficits in EF. Additionally, correlations between clinical characteristics and EF measures varied across patient groups, but many correlations became non-significant after adjusting for the false discovery rate (FDR).

Discussion

This study emphasizes the impact of depression severity on deficits in the EF of depressed patients and at-risk populations. Consequently, it is important to consider executive dysfunctions as an underlying vulnerability in the development and persistence of depressive disorder.

The effectiveness of technology-based cognitive behavioral therapy on perinatal depression and anxiety: A systematic review and meta-analysis

BACKGROUND

Extensive literature has shown the effectiveness of cognitive behavioral therapy in treating perinatal depression, but little is known about the effectiveness of its technology-based version.

AIM

The aim of this review was to examine the effectiveness of technology-based cognitive behavioral therapy in reducing depressive and anxiety symptoms in women suffering from or at risk of experiencing perinatal depression.

METHODS

Six electronic databases were searched until February 2023 for articles published in English. Random-effect meta-analyses were conducted. Heterogeneity was assessed using the I2 statistics and Cochran's Q chi-squared test. Sensitivity analyses and subgroup analyses were also performed, and quality appraisals at the study and outcome levels were conducted.

RESULTS

A total of 16 randomized controlled trials were included in the review. Results from meta-analyses suggest that technology-based cognitive behavioral therapy has a medium effect in reducing perinatal depressive symptoms and a small effect in reducing perinatal anxiety symptoms. Overall, women suffering from or at risk of perinatal depression may benefit from technology-based cognitive behavioral therapy.

LINKING EVIDENCE TO ACTION

Future interventions can be improved by addressing both perinatal depression and anxiety, paying more attention to antenatal women to prevent postnatal mental health issues, and using self-guided mobile applications for accessibility.

Interventions promoting recovery from depression for patients transitioning from outpatient mental health services to primary care: Protocol for a scoping review

INTRODUCTION

Patients with severe Major Depressive Disorder (MDD) have an increasing risk of new psychiatric hospitalizations following each new episode of depression highlighting the recurrent nature of the disorder. Furthermore, patients are not fully recovered at the end of their treatment in outpatient mental health services, and residual symptoms of depression might explain why patients with MDD have a high risk of relapse. However, evidence of methods to promote recovery after discharge from outpatient mental health services is lacking. The proposed scoping review aims to systematically scope, map and identify the evidence and knowledge gaps on interventions that aims to promote recovery from MDD for patients transitioning from outpatient mental health services to primary care.

MATERIALS AND METHODS

The proposed scoping review will follow the latest methodological guidance by the Joanna Briggs Institute (JBI) in tandem with the Preferred Reporting Items for Systematic reviews and Meta-Analysis-extension for Scoping Reviews (PRISMA-ScR) checklist. The review is ongoing. Four electronic databases (Medline via PubMed, PsycINFO, CINAHL, and Sociological Abstracts) were systematically searched from 20 January 2022 till 29 March 2022 using keywords and text words. The review team consists of three independent screeners. Two screeners have completed the initial title and abstract screening for all studies retrieved by the search strategy. Currently, we are in the full text screening phase. Reference lists of included studies will be screened, and data will be independently extracted by the review team. Results will be analyzed qualitatively and quantitatively.

DISCUSSION

The chosen methodology is based on the use of publicly available information and does not require ethical approval. Results will be published in an international peer reviewed scientific journal, at national and international conferences and shared with relevant authorities.

REGISTRATION

A pre-print has been registered at the medRxiv preprint server for health sciences (doi.org/10.1101/2022.10.06.22280499).

A comprehensive evaluation of adverse childhood experiences, social-emotional impairments, and neurodevelopmental disorders in cannabis-use disorder: Implications for clinical practice

BACKGROUND

Adverse childhood experiences (ACEs), social-emotional impairments (SEIs), and neurodevelopmental disorders (NDs) are frequent in psychiatric disorders, including substance-use disorders. We aimed to determine the prevalence of ACE, SEI, or ND in individuals with cannabis-use disorder (CUD). We compared individuals with preCUD-onset ACE, SEI, or ND to those without.

METHODS

We crosssectionally studied 323 inpatients or outpatients with a history of past or current CUD, aged 12-35 years (mean age 22.94 ± 4.79), 64.5% of whom were male. The sample was divided into two groups: the non-premorbid (N = 52) and the premorbid ACE/SEI/ND group (N = 271). Within the premorbid group, further subgroups were based on ACEs, SEI, and NDs. We also analyzed other substance use and psychiatric symptoms/diagnoses based on the non-premorbid-premorbid dichotomy in the CUD sample.

RESULTS

Pre-CUD ACE-SEI-ND had higher prevalence of bipolar, schizoaffective, borderline personality, and attention-deficit/hyperactivity disorders, and a history of agitation, hallucinations, and self-injury. The ACE group had higher rates of agitation, depression, delusions, hallucinations, eating disorders, and use of cocaine, amphetamines, and hallucinogens than the SEI or ND. Patients in the premorbid group initiated cannabis use at an earlier age, experienced the first comorbid psychiatric episode earlier, and were hospitalized earlier than those in the non- premorbid ACE-SEI-ND group.

CONCLUSIONS

PreCUD-onset ACE, SEI, or ND conditions in individuals with CUDare linked to earlier onset of comorbid mental illness. Furthermore, ACEs contribute to significant and potentially severe clinical symptoms, as well as the use of substances other than cannabis.

The association between parental internalizing disorders and child school performance

Parents play a crucial role in children's lives. Despite high prevalences of anxiety and depression, we do not know how these disorders among parents associate with child school performance in Norway. We use regression models to estimate associations between parental mental disorders and child school performance, while adjusting for some social and genetic confounders. Parental anxiety and depression were assessed from administrative registers of government funded health service consultations for all individuals in Norway with children born between 1992 and 2002. School performance was assessed as standardized grade point average at the end of compulsory education when children are 16 years old. Associations were also considered in samples of adoptees and among differentially affected siblings. We find that 18.8% of children have a parent with an anxiety or depression diagnosis from primary care during the last three years of compulsory education (yearly prevalence: 11.5%). There is a negative association between these parental mental disorders and child school outcomes (z = 0.43). This association was weakened, but statistically significant among differentially exposed siblings (z = 0.04), while disappearing in adoptee children. Many children experience that their parents have anxiety or depression and receive a diagnosis from primary care. On average, these children have lower school performance. The association is attenuated when comparing differentially exposed siblings and disappears in adoptee children. These results have a poor fit with the hypothesis that parental internalizing is an influential causal factor in determining children's educational success.

Reactivity toward daily events: Intraindividual variability and change in recurrent depression - A measurement burst study

In Major Depressive Disorder, first evidence shows heightened mood-reactivity toward daily events. Related longitudinal studies in remitted patients with recurrent major depression are lacking. Long-term changes in such short-term within-person associations can be analysed via measurement burst designs. Two bursts, separated by approximately 4.4 years, consisted of a baseline session and an Ambulatory Assessment (burst-1: 3 days, burst-2: 5 days). Via smartphone, 54 initially remitted patients with recurrent major depression indicated their negative and positive affect, rumination, self-acceptance, and the occurrence of negative and positive daily events ten times and collected saliva cortisol samples five times per day. In bursts with higher depression levels, patients showed blunted negative affect- and cortisol-reactivity and stronger decreases in positive affect and self-acceptance toward negative daily events, as well as stronger increases in self-acceptance following positive daily events. However, patients with higher depression levels demonstrated stronger ruminative stress-reactivity within bursts. Furthermore, patients with higher depression levels showed an increase of affective stress-reactivity over bursts, such that negative affect more strongly increased and positive affect more strongly decreased following negative daily events over bursts. Following positive daily events, patients with higher depression levels showed stronger decreases in negative affect within bursts and a decrease of self-acceptance-reactivity over bursts. To conclude, measurement burst designs enable to examine intraindividual variability and change of micro-level processes, and possible moderators thereof, potentially providing prognostic information for the course of recurrent major depression.

Effects of Rumination and Mindful Self-Focus Inductions During Daily Life in Patients With Remitted Depression: An Experimental Ambulatory Assessment Study

Rumination has been proposed as an important risk factor for depression, whereas mindful attention is considered a protective form of self-focusing. Experimental studies have demonstrated differential effects of these modes when induced in the lab. However, their impact on daily life processes is poorly understood, particularly in individuals vulnerable to depressive relapses. The aim of our study was to examine short- and longer-term effects of repeated brief rumination and mindful self-focus inductions during daily life on momentary mood, cognitions, and cortisol in patients with remitted depression (rMDD) as well as in healthy individuals, and to identify their potential differential effects in these groups. The study involved repeated short ambulatory inductions of a ruminative or a mindful self-focus during daily life with additional assessments of momentary mood, rumination, self-acceptance, and cortisol over 4 consecutive days in a sample of patients with rMDD (n = 32, ≥2 lifetime episodes, age 19-55 years) and matched healthy controls (n = 32, age 21-54 years). Multilevel models revealed differential immediate effects of the two induction modes on all momentary mood and cognitive outcomes (all p's < .001), but not on cortisol. Detrimental effects of rumination over mindful self-focus inductions were particularly strong for cognitions in the patient group. Longer-term effects of the inductions over the day were lacking. This study underlines immediate deteriorating effects of an induced ruminative compared to a mindful self-focus on momentary mood and cognitions during daily life in patients with rMDD and in healthy individuals. The observed stronger rumination-related reactivity in patients suggests heightened cognitive vulnerability. Understanding rumination- and mindfulness-based mechanisms of action in real-life settings can help to establish mechanism-based treatment options for relapse prevention in depression.

Childhood trauma and anger in adults with and without depressive and anxiety disorders

BACKGROUND

Childhood trauma (CT) is associated with severe sequelae, including stress-related mental health disorders that can perpetuate long into adulthood. A key mechanism in this relationship seems to be emotion regulation. We aimed to investigate (1) whether childhood trauma is associated with anger in adulthood, and, if so, (2) to explore which types of childhood trauma predominate in the prediction of anger in a cohort that included participants with and without current affective disorders.

METHODS

In the Netherlands Study of Depression and Anxiety (NESDA), childhood trauma was assessed with a semi-structured Childhood Trauma Interview (CTI) at baseline, and analyzed in relation to anger as measured at a 4-year follow-up with the Spielberger Trait Anger Subscale (STAS), the Anger Attacks Questionnaire, and cluster B personality traits (i.e., borderline, antisocial) of the Personality Disorder Questionnaire 4 (PDQ-4), using analysis of covariance (ANCOVA) and multivariable logistic regression analyses. Post hoc analyses comprised cross-sectional regression analyses, using the Childhood Trauma Questionnaire-Short Form (CTQ-SF) also obtained at a 4-year follow-up.

RESULTS

Participants (n = 2271) were on average 42.1 years (SD = 13.1), and 66.2% were female. Childhood trauma showed a dose-response association with all anger constructs. All types of childhood trauma were significantly associated with borderline personality traits, independently of depression and anxiety. Additionally, all types of childhood trauma except for sexual abuse were associated with higher levels of trait anger, and a higher prevalence of anger attacks and antisocial personality traits in adulthood. Cross-sectionally, the effect sizes were larger compared with the analyses with the childhood trauma measured 4 years prior to the anger measures.

CONCLUSIONS

Childhood trauma is linked with anger in adulthood, which could be of particular interest in the context of psychopathology. Focus on childhood traumatic experiences and adulthood anger may help to enhance the effectiveness of treatment for patients with depressive and anxiety disorders. Trauma-focused interventions should be implemented when appropriate.

Exploring putative therapeutic mechanisms of change in a hybrid compassion-focused, ecological momentary intervention: Findings from the EMIcompass trial

Compassion-focused interventions represent a promising transdiagnostic approach, but the mechanisms involved in hybrid delivery combining face-to-face sessions and an ecological momentary intervention remain unexplored. The current study aimed at exploring associations of putative mechanisms with clinical outcomes at post-intervention/follow-up and mediation of outcome at follow-up by preceding pre-to post-intervention changes in putative mechanisms. The compassion-focused EMIcompass intervention was applied in an exploratory randomized controlled trial (treatment as usual (TAU) vs. TAU + EMIcompass) with youth with early mental health problems. Data was collected before randomization, at post-intervention and at four-week follow-up. We recruited N = 92 participants, N = 46 were allocated to the experimental condition. After control for baseline levels of the target outcomes, baseline-to post-intervention improvement in adaptive emotion regulation was associated with lower levels of clinical outcomes (e.g. psychological distress b = -1.15; 95%CI = -1.92 to -0.39) across time points. We could not detect indirect effects, but we observed associations of change in self-compassion and adaptive emotion regulation with outcomes at follow-up in the mediation analysis (e.g., β = -0.35, 95%CI = -0.52 to -0.16). If successfully targeted by interventions, self-compassion and emotion regulation may be promising putative therapeutic mechanisms of change.

Real-time monitoring of increases in restlessness to assess idiographic risk of recurrence of depressive symptoms

BACKGROUND

This confirmatory study aimed to examine whether we can foresee recurrence of depressive symptoms using personalized modeling of rises in restlessness.

METHODS

Participants were formerly depressed patients (N = 41) in remission who (gradually) discontinued antidepressants. Participants completed five smartphone-based Ecological Momentary Assessments (EMA) a day, for a period of 4 months, yielding a total of 21 180 observations. Statistical Process Control by means of Exponentially Weighted Moving Average (EWMA) control charts was used to detect rises in the EMA item 'I feel restless', for each individual separately.

RESULTS

An increase in restlessness was detected in 68.3% of the participants with recurring depressive symptoms, and in 26.3% of those who stayed in remission (Fisher's exact test p = 0.01, sensitivity was 68.3%, specificity was 73.7%). In the participants with a recurrence and an increase in restlessness, this increase could be detected in the prodromal phase of depression in 93.3% of the cases and at least a month before the onset of the core symptoms of depression in 66.7% of the cases.

CONCLUSIONS

Restlessness is a common prodromal symptom of depression. The sensitivity and specificity of the EWMA charts was at least as good as prognostic models based on cross-sectional patient characteristics. An advantage of the current idiographic method is that the EWMA charts provide real-time personalized insight in a within-person increase in early signs of depression, which is key to alert the right patient at the right time.

Preonset predictors of chronic-intermittent depression from early adolescence to early adulthood

Individuals with prolonged or frequent episodes account for a disproportionate share of the burden of depression. However, there are surprisingly few data on whether individuals at risk for developing chronic-intermittent depression (CID) as opposed to briefer, infrequent depressive episodes (time-limited depression [TLD]) can be distinguished before their first depressive episode. We followed a community sample of 465 never-depressed females on five occasions from age 14 to 20 years and examined whether 18 preonset clinical and psychosocial variables prospectively predicted CID. The CID group accounted for 40% of depressed cases but 84% of the cumulative time depressed in the sample. Participants with CID (n = 60) exhibited significantly higher preonset levels of 16 of the 18 risk factors than the never-depressed group (n = 315). The TLD group (n = 90) had significantly higher preonset levels of nine risk factors than never-depressed participants. Finally, the CID group had significantly higher levels of nine risk factors than the TLD group, five of which were similar in TLD and never-depressed participants. These findings indicate that differences between CID and TLD are evident before onset and suggest that the liability to CID may be both greater than, and somewhat different from, the liability to TLD. Moreover, they suggest that individuals at risk for a malignant course of depression can be targeted for prevention and early intervention. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Difficult decision-making in major depressive disorder: Practical guidance based on clinical research and experience

OBJECTIVES

To extend current published guidance regarding the management of major depression in clinical practice, by examining complex cases that reflect real-world patients, and to integrate evidence and experience into recommendations.

METHODS

The authors who contributed to recently published clinical practice guidelines were invited to identify important gaps in extant guidance. Drawing on clinical experience and shared knowledge, they then generated four fictional case studies to illustrate the real-world complexities of managing mood disorders. The cases focussed specifically on issues that are not usually addressed in clinical practice guidelines.

RESULTS

The four cases are discussed in detail and each case is summarised using a life chart and accompanying information. The four cases reflect important real-world challenges that clinicians face when managing mood disorders in day-to-day clinical practice. To partly standardise the presentation of each case and for ease of reference we provide a Time Line, History Box and Management Chart, along with a synopsis where relevant. Discussion and formulation of the cases illustrate how to manage the complexities of each case and provide one possible pathway to achieving functional recovery.

CONCLUSION

These cases draw on the combined clinical experience of the authors and illustrate how to approach diagnostic decision-making when treating major depressive disorder and having to contend with complex presentations. The cases are designed to stimulate discussion and provide a real-world context for the formulation of mood disorders.

Effectiveness of Psychological Interventions to Improve the Mental Well-Being of Parents Who Have Experienced Traumatic Childbirth: A Systematic Review and Meta-Analysis

Considering the adverse impact that traumatic childbirth experiences can have on parental mental well-being, studies that have investigated the potential of providing postnatal psychological support for this group of parents require evaluation. This systematic review aimed to examine the effectiveness of psychological interventions at improving the mental well-being of parents who have experienced traumatic childbirth in terms of anxiety, depression, fear of childbirth, and post-traumatic stress disorder (PTSD) symptoms. Seven electronic databases were searched from their respective inception dates up to January 2021. Only quantitative studies that reported the effects of psychological interventions on anxiety, depression, fear of childbirth, and/or PTSD symptoms in selective (at risk of traumatic childbirth experience) or indicated (self-defined childbirth experience as traumatic for any reason) populations of parents (mothers and/or fathers) were included. Eight studies were included and meta-analyses were conducted using a random-effect model. All studies were conducted on mothers only, and one study had minimal father involvement. Results showed that psychological interventions were more effective in reducing fear of childbirth and improving PTSD symptoms compared to anxiety and depression. Greater improvement in depression was reported at 3-8 weeks' follow-up than at immediate post-intervention. Subgroup analyses showed that technology-based interventions were feasible, and indicated interventions were more effective than selective interventions. Conducting future interventions in more geographical regions, engaging and including fathers more actively, incorporating both personalized professional therapy and informal peer support, striving for flexibility and convenience, as well as addressing topics on self-doubt and coping skills can improve current interventions.

Examining bi-directional change in sleep and depression symptoms in individuals receiving routine psychological treatment

BACKGROUND

Sleep disturbance is a common symptom of depression. There is conflicting evidence whether improvements in sleep might impact depressive symptoms, or whether treating the core depressive symptoms might improve sleep disturbance. This study explored the bi-directional impact of sleep and depressive symptom change among individuals receiving psychological treatment.

METHODS

Session-by-session change in sleep disturbance and depressive symptom severity scores were explored in patients receiving psychological therapy for depression from Improving Access to Psychological Therapies services in England. Bi-directional change in sleep disturbance and depressive symptoms was modelled using random-intercept cross-lagged panel models with items from the PHQ-9.

RESULTS

The sample included 17,732 adults that had received three or more treatment sessions. Both depressive symptoms and sleep disturbance scores decreased. Between initial timepoints, higher sleep disturbance was associated with lower depression scores, but after this point positive cross-lagged effects were observed for both the impact of sleep disturbance on later depressive symptoms, and depressive symptoms on later sleep disturbance scores. The magnitude of effects suggested depressive symptoms may have more impact on sleep than the reverse, and this effect was larger in sensitivity analyses.

CONCLUSIONS

Findings provide evidence that psychological therapy for depression results in improvements in core depressive symptoms and sleep disturbance. There was some evidence that depressive symptoms may have more impact on sleep disturbance scores at the next therapy session, than sleep disturbance does on later depressive symptoms. Targeting the core symptoms of depression initially may optimise outcomes, but further research is needed to elucidate these relationships.

Improvement in self-reported cognitive functioning but not in rumination following online working memory training in a two-year follow-up study of remitted major depressive disorder

Self-reported subjective cognitive difficulties (subjective deficits) and rumination are central residual cognitive symptoms following major depressive disorder (MDD). These are risk factors for more a severe course of illness, and despite the considerable relapse risk of MDD, few interventions target the remitted phase, a high-risk period for developing new episodes. Online distribution of interventions could help close this gap. Computerized working memory training (CWMT) shows promising results, but findings are inconclusive regarding which symptoms improve following this intervention, and its long-term effects. This study reports results from a longitudinal open-label two-year follow-up pilot-study of self-reported cognitive residual symptoms following 25 sessions (40 min), five times a week of a digitally delivered CWMT intervention. Ten of 29 patients remitted from MDD completed two-year follow-up assessment. Significant large improvements in self-reported cognitive functioning on the behavior rating inventory of executive function-adult version appeared after two-years (d = 0.98), but no significant improvements were found in rumination (d < 0.308) measured by the ruminative responses scale. The former showed moderate non-significant associations to improvement in CWMT both post-intervention (r = 0.575) and at two-year follow-up (r = 0.308). Strengths in the study included a comprehensive intervention and long follow-up time. Limitations were small sample and no control group. No significant differences between completers and drop-outs were found, however, attrition effects cannot be ruled out and demand characteristics could influence findings. Results suggested lasting improvements in self-reported cognitive functioning following online CWMT. Controlled studies with larger samples should replicate these promising preliminary findings.

Relationship between COVID-19 Pandemic Confinement and Worsening or Onset of Depressive Disorders

Several studies indicate that the pandemic and associated confinement measures may have had an impact on mental health, producing the onset or persistence of symptoms such as stress, anxiety, depression, and fear. This systematic review aims to identify the factors influencing the onset or worsening of depressive symptoms during COVID-19-related confinement. Our systematic search produced 451 articles from selected databases, 398 of which were excluded based on established criteria, while 53 were selected for review. Most studies have reported an increase in the prevalence of depressive symptoms in the general population during the first weeks of confinement. The predominant risk factors associated with the appearance of depressive symptoms included female sex, low educational level, young age, economic difficulties, comorbidities, and a history of previous depressive episodes. People with a pre-existing diagnosis of depressive disorder generally experienced a worsening of their symptoms during confinement in most of the reviewed studies. Moreover, symptomatology persisted at higher levels post-confinement, without significant improvement despite relief in confinement measures. Therefore, ongoing evaluations of post-pandemic depressive symptoms are necessary to advance the knowledge of the relationship between pandemics and depression, allowing accurate conclusions and associations to be made.