Epidemiologic heterogeneity of common mood and anxiety disorders over the lifecourse in the general population: a systematic review

Mothers' and their children's emotional and behavioral symptom trajectories and subsequent maternal adjustment: Twenty-seven years of motherhood

BACKGROUND

This study aims to describe maternal depressive symptoms (MDS) trajectories in a longitudinal study extending from pregnancy to 27 years after the birth of the firstborn child. We also explored the associations of both MDS trajectories and child internalizing and externalizing problem trajectories with maternal adjustment (adaptive functioning, emotional and behavioral problems).

METHODS

The population-based study was conducted in Tampere, Finland, and the sample comprised 356 first-time mothers. MDS were screened with the Edinburgh Postnatal Depression Scale during pregnancy, first week after delivery, 2 and 6 months postnatally, and when the child was 4-5, 8-9, 16-17, and 26-27 years of age. The internalizing and externalizing problems of the children were assessed with the Child Behavior Checklist when the child was 4-5, 8-9, and 16-17 years of age. Maternal adaptive functioning and internalizing and externalizing problems were assessed with the Adult Self Report at 26-27 years after the birth of the first child. Complete follow-up data were available for 168 mothers.

RESULTS

We describe a three-group trajectory model of MDS (High Stable, Low Stable, Very Low). Elevated depressive symptom patterns were associated with less optimal maternal outcomes regarding both adaptive and problem dimensions. The child's internalizing and externalizing problem trajectories were associated with maternal internalizing and externalizing problems but not with maternal adaptive functioning.

LIMITATIONS

Maternal and child measures were based on maternal reports only.

CONCLUSIONS

The interconnectedness of the well-being of the mother and child should be noted in health and mental health services for adults and children.

Trajectories of depressive and anxiety symptoms and associated risk factors during the COVID-19 pandemic in Germany: A longitudinal cohort study

BACKGROUND

Most COVID-19-related mental health research focused on average levels of mental health parameters in the general population. However, considering heterogeneous groups and their long-term responses could deepen our understanding of mental health during community crises. This four-wave study aimed to (1) identify subgroups with different trajectories of depressive and anxiety symptoms in the German general population, and (2) investigate associated risk factors.

METHODS

We analyzed self-report data from N = 1257 German adults participating in a European cohort study, assessed in summer 2020 (T1), and at 6 (T2), 12 (T3), and 30 months (T4). Depressive and anxiety symptoms were measured using the PHQ-4. Sociodemographic, health-related, and pandemic-related variables were assessed at baseline. We applied growth mixture modeling to identify subgroups of symptom trajectories and conducted multinomial logistic regression to examine factors associated with class membership.

RESULTS

We identified six symptom trajectories: Low-stable (n = 971, 77.2 %), Continuous deterioration (n = 30, 2.4 %), Transient deterioration (n = 75, 6.0 %), Continuous improvement (n = 97, 7.7 %), Transient improvement (n = 38, 3.0 %) and Chronicity (n = 46, 3.7 %). Age, education, work status, mental health diagnoses, self-reported health, and pandemic-related news consumption were significantly associated with subgroup membership.

LIMITATIONS

The generalizability of the study is constrained by an unrepresentative sampling method, a notable dropout rate, and limited consideration of risk factors.

CONCLUSION

Most people experienced low symptoms or improvement during the pandemic, while others experienced chronic or transient symptoms. Specific risk factors were associated with these trajectories, revealing nuanced mental health dynamics.

Abnormal amygdala volume moderates parenting and anxiety symptoms in children and adolescents with anxiety disorder

Anxiety disorders (AD) usually onset in childhood or adolescence and are related to brain development and early experiences during this period. As the hub of the fear circuit, the amygdala plays a crucial role in the development of emotional processing, and abnormalities in its structure and function are associated with anxiety disorders. We aim to uncover the amygdala volume's moderation between parenting and anxiety severity in children and adolescents with AD. 129 children and adolescents with anxiety and 135 age- and sex-matched Health controls (HC) using the publicly available Healthy Brain Network (HBN) dataset were included. Anxiety severity was measured using the Screen for Child Anxiety Related Disorders Self-report (SCARED-SR) and parenting was measured using the Alabama Parenting Questionnaire Self-Report (APQ-SR). We investigated age-related differences in amygdala volume in children and adolescents with anxiety disorders. Further, we examined the role of amygdala volume in moderating the association between parental involvement, particularly the maternal involvement, and anxiety symptoms in this population. We found larger bilateral amygdala in the AD group compared with the HC among the age range of 7-12. And increases in amygdala volume tended to negatively moderate the linear relationships between maternal involvement and anxiety symptoms in the AD group. These findings provide new evidence of abnormal brain alteration in children and adolescents with anxiety and may reflect proactive adaptations of adolescent brain development.

Prevalence, Severity, and Measures of Anxiety in Rheumatoid Arthritis: A Systematic Review

OBJECTIVE

Many studies have reported high rates of anxiety in adults with rheumatoid arthritis (RA). The aim of this systematic review was to examine those findings and determine the overall prevalence, severity, and commonly used measures of anxiety in individuals with RA.

METHODS

Six databases were searched from January 2000 without restrictions on language/location, study design, or gray literature. All identified studies that examined anxiety prevalence and severity in adults with RA, as assessed with clinical diagnostic interview and/or standardized self-report measures, were considered for inclusion. Quality assessment of included studies was conducted using a modified Newcastle-Ottawa Evaluation Scale, and the findings were synthesized via a narrative approach.

RESULTS

Across the 47 studies (n = 11,085 participants), the sample size ranged from 60 to 1,321 participants with seven studies including healthy controls or groups with other health conditions. The studies were conducted across 23 countries, and anxiety prevalence ranged from 2.4% to 77%, predominantly determined with standardized self-report measures, of which Hospital Anxiety and Depression scale was used most frequently; only eight studies used a clinical diagnostic interview to confirm a specific anxiety diagnosis. Notable associations with anxiety in RA were physical disability, pain, disease activity, depression, and quality of life.

CONCLUSION

The reported prevalence of anxiety in RA varied widely potentially because of use of different self-report measures and cutoff points. Such cutoff points will need to be standardized to clinical thresholds to inform appropriate interventions for anxiety comorbidity in RA.

Efficacy and safety of zuranolone co-initiated with an antidepressant in adults with major depressive disorder: results from the phase 3 CORAL study

Major depressive disorder (MDD) is a mental health disorder that can cause disability and functional impairment that standard-of-care (SOC) antidepressant therapies (ADTs) can take weeks to treat. Zuranolone is a neuroactive steroid and positive allosteric modulator of synaptic and extrasynaptic γ-aminobutyric acid (GABA) type A receptors approved as an oral, once-daily, 14-day treatment course in adults with postpartum depression and under investigation in adults with MDD. The phase 3 CORAL Study (NCT04476030) evaluated the efficacy and safety of zuranolone 50 mg co-initiated with SOC ADT (zuranolone+ADT) vs placebo co-initiated with SOC ADT (placebo+ADT) in adults with MDD. Patients were randomized 1:1 to once-daily, blinded zuranolone+ADT or placebo+ADT for 14 days, then continued open-label SOC ADT for 28 more days. The primary endpoint was change from baseline (CFB) in the 17-item Hamilton Rating Scale for Depression (HAMD-17) total score at Day 3. Among 425 patients in the full analysis set, CFB in HAMD-17 total score at Day 3 was significantly improved with zuranolone+ADT vs placebo+ADT (least squares mean [standard error], -8.9 [0.39] vs -7.0 [0.38]; p = 0.0004). The majority of patients receiving zuranolone+ADT that experienced treatment-emergent adverse events (TEAEs) reported mild or moderate events. The most common TEAEs present in ≥10% of patients in either zuranolone+ADT or placebo+ADT groups were somnolence, dizziness, headache, and nausea. These results demonstrate that zuranolone+ADT provided more rapid improvement in depressive symptoms compared with placebo+ADT in patients with MDD, with a safety profile consistent with previous studies. Clinical trial registration: ClinicalTrials.gov identifier: NCT04476030.

Network structure of symptomatology of adult attention-deficit hyperactivity disorder in patients with mood disorders

Patients with mood disorders commonly manifest comorbid psychiatric disorders, including attention-deficit/hyperactivity disorder (ADHD). However, few studies have evaluated ADHD symptoms in this population. The current study aimed to explore the network structure of ADHD symptomology and identify central symptoms in patients with mood disorders. The Korean version of the Adult ADHD Self-Report Scale was used to assess the overall ADHD symptoms in 1,086 individuals diagnosed with mood disorders (major depressive disorder [n = 373], bipolar I disorder [n = 314], and bipolar II disorder [n = 399]). We used exploratory graph analysis to detect the number of communities, and the network structure was analyzed using regularized partial correlation models. We identified the central ADHD symptom using centrality indices. Network comparison tests were conducted with different subgroups of patients with mood disorders, including three mood diagnosis groups, between the patients who met the diagnostic criteria for ADHD [ADHD-suspected, n = 259] in their self-report and the others [ADHD-non-suspected, n = 827], and groups with high [n = 503] versus low [n = 252] levels of depressive state. The network analysis detected four communities: disorganization, agitation/restlessness, hyperactivity/impulsivity, and inattention. The centrality indices indicated that "feeling restless" was the core ADHD symptom. The result was replicated in the subgroup analyses within our clinically diverse population of mood disorders, encompassing three presentations: Patients with suspected ADHD, patients without suspected ADHD, and patients with a high depressive state. Our findings reveal that "feeling restless" is the central ADHD symptom. The treatment intervention for "feeling restless" may thus play a pivotal role in tackling ADHD symptoms in adult patients with mood disorders.

Trajectories of antepartum depressive symptoms and birthweight: a multicenter and prospective cohort study

BACKGROUND

Antepartum depression is a prevalent unhealthy mental health problem worldwide, particularly in low-income countries. It is a major contributor to adverse birth outcomes. Previous studies linking antepartum depression to birthweight have yielded conflicting results, which may be the reason that the depressive symptoms were only measured once during pregnancy. This study aimed to explore the associations between trajectories of antepartum depressive symptoms and birthweight.

METHODS

Depressive symptoms were assessed prospectively at each trimester in 3699 pregnant women from 24 hospitals across 15 provinces in China, using the Edinburgh Postpartum Depression Scale (EPDS). Higher scores of EPDS indicated higher levels of depressive symptoms. Associations between trajectories of depressive symptoms and birthweight were examined using group-based trajectory modeling (GBTM), propensity score-based inverse probability of treatment weighting (IPTW), and logistic regression.

RESULTS

GBTM identified five trajectories. Compared with the low-stable trajectory of depressive symptoms, only high-stable (OR = 1.35, 95% CI: 1.15-2.52) and moderate-rising (OR = 1.18, 95% CI: 1.12-1.85) had an increased risk of low birthweight (LBW) in the adjusted longitudinal analysis of IPTW. There was no significant increase in the risk of LBW in moderate-stable and high-falling trajectories. However, trajectories of depressive symptoms were not associated with the risk of macrosomia.

CONCLUSION

Antepartum depressive symptoms were not constant. Trajectories of depressive symptoms were associated with the risk of LBW. It is important to optimize and implement screening, tracking, and intervention protocols for antepartum depression, especially for high-risk pregnant women, to prevent LBW.

Social media use as a risk factor for depressive symptoms during pregnancy

BACKGROUND

Accumulating research has shown associations between excessive social media use (SMU) with depressive symptoms. Depression is common during pregnancy, but it is not known whether SMU plays a role in the etiology and clinical course of depressive symptoms during pregnancy.

METHODS

The current study is a prospective cohort study with Dutch-speaking pregnant women recruited at the first antenatal appointment (N = 697). Depressive symptoms were measured at each trimester of pregnancy using the Edinburgh Depression Scale. Growth mixture modeling was used to determine classes of women based on longitudinal trajectories of depressive symptoms. SMU was assessed at 12 weeks of pregnancy, specifically, intensity (time and frequency) and problematic SMU (Bergen Social Media Addiction Scale). Multinomial logistic regression analyses were used to examine the associations between SMU and trajectories of depressive symptoms.

RESULTS

Three trajectories of depressive symptoms during pregnancy were identified: a low stable (N = 489, 70.2 %), intermediate stable (N = 183, 26.3 %), and high stable (N = 25, 3.6 %) class. SMU Time and Frequency were significantly associated with belonging to the high stable class. Problematic SMU was significantly associated with belonging to the intermediate or high stable class.

LIMITATIONS

The study does not allow to draw conclusions about causality. The group sizes of the three trajectories differed considerably. Data were collected during the COVID-19 pandemic which may have influenced the results. SMU was measured by self-report.

CONCLUSIONS

These results indicate that both higher intensity of SMU (time and frequency) and problematic SMU may be a risk factor for higher levels of prenatal depressive symptoms during pregnancy.

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.

Breastfeeding continuation is associated with trait mindfulness but not with trajectories of postpartum depressive symptoms

OBJECTIVE

The WHO recommends breastfeeding for at least six months as breastfeeding has many benefits for both infant and mother. The association of breastfeeding continuation with trait mindfulness during pregnancy and trajectories of postpartum depressive symptoms has not been examined yet. The current study aimed to assess this association using cox regression analysis.

DESIGN, SETTING AND PARTICIPANTS

The current research is part of a large longitudinal prospective cohort study following women from 12 weeks of pregnancy onwards in the South-East part of the Netherlands.

MEASUREMENTS

A total of 698 participants filled out the Three Facet Mindfulness Questionnaire-Short Form (TFMQ-SF) at 22 weeks of pregnancy and completed both the Edinburgh Postnatal Depression Scale (EPDS) and questions on breastfeeding continuation one week, six weeks, four months, and eight months postpartum. Breastfeeding continuation was defined as exclusive breastfeeding or both breastfeeding and formula. The assessment eight months postpartum was used as a proxy for the WHO recommendation to continue breastfeeding for at least six months.

FINDINGS

Two trajectories (classes) of EPDS scores were determined using growth mixture modeling: 1) low stable (N = 631, 90.4%), and 2) increasing (N = 67, 9.6%). Cox regression analysis showed that the trait mindfulness facet non-reacting was significantly and inversely associated with the risk of breastfeeding discontinuation (HR = 0.96, 95% CI [0.94, 0.99], p = .002), while no significant association was found for belonging to the increasing EPDS class versus belonging to the low stable class (p = .735), adjusted for confounders.

KEY CONCLUSIONS

This study is the first to show that higher trait mindfulness non-reacting scores, but not persistently low levels of postpartum depressive symptoms, increase the likelihood of breastfeeding continuation.

IMPLICATIONS FOR PRACTICE

Improving non-reacting in perinatal women by meditation practice as part of a mindfulness-based intervention may lead to better breastfeeding continuation outcomes. Several mindfulness-based programs may be suitable.

Trajectories of depressive symptoms during pregnancy and risk of premature birth: A multicenter and prospective cohort study

Previous studies only assessed the association between depressive symptoms and risk of preterm birth (PTB) at a time-point during pregnancy, resulting in inconsistent or contradictory results. Therefore, we aimed to explore the associations between the trajectories of depressive symptoms during pregnancy and risk of PTB. In total, 7732 pregnant women were included in 24 hospitals from 15 provinces of China. The Edinburgh Postpartum Depression Scale (EPDS) was used to evaluate depressive symptoms in the first, second, and third trimesters. Associations between depressive symptoms and risk of PTB were performed by group-based trajectory modeling (GBTM), propensity score-based inverse probability of treatment weighting (IPTW), and logistic regression. GBTM identified five trajectories: compared with persistently low-stable trajectory of depressive symptoms, women with moderate-stable (OR = 1.23, 95% CI: 1.02-1.76), high-falling (OR = 1.35, 95% CI: 1.11-2.21), moderate-rising (OR = 1.38, 95% CI: 1.06-2.04), and high-stable trajectory of depressive symptoms (OR = 1.40, 95% CI: 1.16-3.28) had an increased risk of PTB. In addition, the associations between trajectories of depressive symptoms and risk of PTB were most significant in multiparous women with a history of PTB. There was no difference in the risk of early-moderate PTB among different trajectories of depressive symptoms and only the risk of late PTB was different among different trajectories. In conclusion, the depressive symptoms of pregnant women were not constant during pregnancy, and different trajectories of depressive symptoms were associated with different risks of PTB.

A multivariate blood metabolite algorithm stably predicts risk and resilience to major depressive disorder in the general population

BACKGROUND

Socioeconomic pressures, sex, and physical health status strongly influence the development of major depressive disorder (MDD) and mask other contributing factors in small cohorts. Resilient individuals overcome adversity without the onset of psychological symptoms, but resilience, as for susceptibility, has a complex and multifaceted molecular basis. The scale and depth of the UK Biobank affords an opportunity to identify resilience biomarkers in rigorously matched, at-risk individuals. Here, we evaluated whether blood metabolites could prospectively classify and indicate a biological basis for susceptibility or resilience to MDD.

METHODS

Using the UK Biobank, we employed random forests, a supervised, interpretable machine learning statistical method to determine the relative importance of sociodemographic, psychosocial, anthropometric, and physiological factors that govern the risk of prospective MDD onset (total n = 15,710). We then used propensity scores to rigorously match individuals with a history of MDD (n = 491) against a resilient subset of individuals without an MDD diagnosis (retrospectively or during follow-up; n = 491) using an array of key social, demographic, and disease-associated drivers of depression risk. 381 blood metabolites and clinical chemistry variables and 4 urine metabolites were integrated to generate a multivariate random forest-based algorithm using 10-fold cross-validation to predict prospective MDD risk and resilience.

OUTCOMES

In unmatched individuals, a first case of MDD, with a median time-to-diagnosis of 72 years, can be predicted using random forest classification probabilities with an area under the receiver operator characteristic curve (ROC AUC) of 0.89. Prospective resilience/susceptibility to MDD was then predicted with a ROC AUC of 0.72 (x˜ = 3.2 years follow-up) and 0.68 (x˜ = 7.2 years follow-up). Increased pyruvate was identified as a key biomarker of resilience to MDD and was validated retrospectively in the TwinsUK cohort.

INTERPRETATION

Blood metabolites prospectively associate with substantially reduced MDD risk. Therapeutic targeting of these metabolites may provide a framework for MDD risk stratification and reduction.

FUNDING

New York Academy of Sciences' Interstellar Programme Award; Novo Fonden; Lincoln Kingsgate award; Clarendon Fund; Newton-Abraham studentship (University of Oxford). The funders had no role in the development of the present study.

Exploratory factor analysis of shared and specific genetic associations in depression and anxiety

BACKGROUND

Previous genetic studies of anxiety and depression were mostly based on independent phenotypes. This study aims to investigate the shared and specific genetic structure between anxiety and depression.

METHOD

To identify the underlying factors of Generalized Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-9 (PHQ-9), and their combined scale (joint scale), we employed exploratory factor analysis (EFA) using the eigenvalue of parallel analysis. Subsequently, we conducted a genome-wide association study (GWAS) for these factors. In addition, we utilized LD Score Regression (LDSC) to determine the genetic correlations between the identified factors and four common mental disorders, three sleep phenotypes, and other traits that have been previously linked to anxiety and depression.

RESULTS

The EFA uncovered two factors for the GAD-7 scale, namely nervousness and disturbance, two factors for the PHQ-9 scale, namely negative affect and sleep/appetite disturbance, and four factors for the joint scale, specifically nervousness, anhedonia, sleep/appetite disturbance, and fidget. We identified two genome-wide significant genomic loci, with overlap across GAD-7 factor 1 and joint scale factor 1: rs148579586 (P_GAD-7 = 1.365 × 10^-09, P_{Joint scale} = 1.434 × 1^0-09) and rs201074060 (P_GAD-7 = 3.672 × 10^-09, P_{Joint scale} = 3.824 × 10^-09). Genetic correlations in factors ranged from 0.722 to 1.000 (all p < 1.786 × 10^-3) with 27 of 28 correlations being significantly smaller than one. The genetic correlations with external phenotypes showed small variation across the eight factors.

CONCLUSION

Unidimensional structures can provide more precise scores, which can aid in identifying the shared and specific genetic associations between anxiety and depression. This is a crucial step in characterizing the genetic structure of these conditions and their co-occurrence.

Association between high levels of comorbid anxiety and depressive symptoms and decreased likelihood of birth without intervention: A longitudinal prospective cohort study

OBJECTIVE

To assess the association between trajectories of comorbid anxiety and depressive (CAD) symptoms assessed in each pregnancy trimester and physiological birth.

DESIGN

Large longitudinal prospective cohort study with recruitment between January 2013 and September 2014.

SETTING

Primary care, in the Netherlands.

POPULATION

Dutch-speaking pregnant women with gestational age at birth ≥37 weeks, and without multiple pregnancy, severe psychiatric disorder or chronic disease history.

METHODS

Pregnancy-specific anxiety and depressive symptoms were measured prospectively in each trimester of pregnancy using the negative affect subscale of the Tilburg Pregnancy Distress Scale and Edinburgh (Postnatal) Depression Scale. Data on physiological birth were obtained from obstetric records. Multivariate growth mixture modelling was performed in MPLUS to determine longitudinal trajectories of CAD symptoms. Multiple logistic regression analysis was used to examine the association between trajectories and physiological birth.

MAIN OUTCOME MEASURES

Trajectories of CAD symptoms and physiological birth.

RESULTS

Seven trajectories (classes) of CAD symptoms were identified in 1682 women and subsequently merged into three groups: group 1-persistently low levels of symptoms (reference class 1; 79.0%), group 2-intermittently high levels of symptoms (classes 3, 6 and 7; 11.2%), and group 3-persistently high levels of symptoms (classes 2, 4 and 5; 9.8%). Persistently high levels of CAD symptoms (group 3) were associated with a lower likelihood of physiological birth (odds ratio 0.67, 95% confidence interval 0.47-0.95, P = 0.027) compared with the reference group (persistently low levels of symptoms), after adjusting for confounders.

CONCLUSIONS

This study is the first showing evidence that persistently high CAD levels, assessed in each pregnancy trimester, are associated with a lower likelihood of physiological birth.

Patterns of Maternal Distress from Pregnancy Through Childhood Predict Psychopathology During Early Adolescence

Capitalizing on a longitudinal cohort followed from gestation through adolescence (201 mother-child dyads), we investigate the contributions of severity and stability of both maternal depressive and perceived stress symptoms to adolescent psychopathology. Maternal depressive and perceived stress trajectories from pregnancy through adolescence were identified with latent class growth analyses, and associations with adolescent internalizing and externalizing symptoms were examined. For both depression and stress, the most common trajectory group comprised mothers displaying stable and low symptom levels over time, and adolescents of these mothers had the fewest internalizing and externalizing symptoms. Maternal membership to one or more aberrant trajectory groups predicted higher levels of internalizing and externalizing symptoms, determined by both maternal and adolescent self-report. This study indicates that profiles of multiple indicators of maternal psychopathology assessed across childhood, beginning prenatally, can provide critical additional insight into child psychopathology risk.

Addressing heterogeneous populations in latent variable settings through robust estimation

Individuals routinely differ in how they present with psychiatric illnesses and in how they respond to treatment. This heterogeneity, when overlooked in data analysis, can lead to misspecified models and distorted inferences. While several methods exist to handle various forms of heterogeneity in latent variable models, their implementation in applied research requires additional layers of model crafting, which might be a reason for their underutilization. In response, we present a robust estimation approach based on the expectation-maximization (EM) algorithm. Our method makes minor adjustments to EM to enable automatic detection of population heterogeneity and to recognize individuals who are inadequately explained by the assumed model. Each individual is associated with a probability that reflects how likely their data were to have been generated from the assumed model. The individual-level probabilities are simultaneously estimated and used to weight each individual's contribution in parameter estimation. We examine the utility of our approach for Gaussian mixture models and linear factor models through several simulation studies, drawing contrasts with the EM algorithm. We demonstrate that our method yields inferences more robust to population heterogeneity or other model misspecifications than EM does. We hope that the proposed approach can be incorporated into the model-building process to improve population-level estimates and to shed light on subsets of the population that demand further attention. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Trait mindfulness facets as a protective factor for the development of postpartum depressive symptoms

BACKGROUND

Postpartum depression has a prevalence rate of up to 17%. As there are many negative consequences of postpartum depressive symptoms, it is important to examine possible protective factors, such as trait mindfulness. Since postpartum depressive symptoms are variable over time between and within individuals, this study focused on the possible association between facets of trait mindfulness and trajectories of postpartum depressive symptoms throughout the first postpartum year.

METHODS

A subsample of 713 women that participated in the HAPPY study completed the Three Facet Mindfulness Questionnaire-Short Form at 22 weeks of pregnancy and the Edinburgh Postnatal Depression Scale (EPDS) at six weeks, four months, eight months, and twelve months postpartum. Possible different EPDS trajectories were obtained by means of growth mixture modeling.

RESULTS

Two EPDS trajectories (classes) were found: a low stable symptom class (N = 647, 90.7%) and an increasing-decreasing symptom class (N = 66, 9.3%). Women in the low stable class showed higher 'acting with awareness' and 'non-judging' scores. A higher score on the 'non-judging' facet of trait mindfulness was associated with a higher likelihood of belonging to the low stable class (OR = 0.79, 95% CI [0.72, 0.87], p < 0.001), adjusted for confounders and the other mindfulness facets.

CONCLUSIONS

The non-judging facet of trait mindfulness was associated with low stable levels of depressive symptoms during the first postpartum year. Mindfulness-based programs, focusing on enhancing non-judging may be of benefit for pregnant women to possibly decrease the risk of developing postpartum depressive symptoms after childbirth.

The first trimester plasma copper-zinc ratio is independently related to pregnancy-specific psychological distress symptoms throughout pregnancy

OBJECTIVES

High plasma copper (Cu) and low zinc (Zn) levels have been associated with depression. However, most studies used low sample sizes and a cross-sectional design, and perinatal data are scarce. We investigated the possible association between pregnancy-specific psychological distress and the plasma CuZn ratio using a prospective design.

METHODS

Pregnancy-specific distress symptoms were assessed at each trimester by means of the Tilburg Pregnancy Distress Scale, negative affect subscale, in 2036 pregnant women. Cu and Zn were assessed at 12 wk of gestation in plasma samples by inductively coupled plasma mass spectrometry. Growth mixture modeling determined trajectories of women's pregnancy-specific negative affect (P-NA) symptoms, which were entered in a multiple logistic regression analysis as dependent variable and the CuZn ratio as independent variable.

RESULTS

Two P-NA symptom classes were found: 1) persistently low (n = 1820) and 2) persistently high (n = 216). A higher CuZn ratio was independently associated with persistently high P-NA symptom scores (odds ratio = 1.52; 95% confidence interval, 1.13-2.04) after adjustment for confounders. A sensitivity analysis was performed excluding all women with high P-NA scores at 12 wk (>1 SD above the mean P-NA score). In the 1719 remaining women, a higher CuZn ratio significantly predicted the development of increasing P-NA symptom scores after adjustment for confounders (odds ratio = 1.40; 95% confidence interval, 1.04-1.95).

CONCLUSIONS

A higher CuZn plasma ratio is an independent determinant of developing pregnancy-specific distress symptoms throughout pregnancy, suggesting that micronutrients could be used as novel biomarkers for psychological distress research of perinatal mood disorders.

The longitudinal course of depressive symptoms during the perinatal period: A systematic review

BACKGROUND

Perinatal Depression (PND) is one of the most common complications (10-20 %) during the perinatal period and its clinical course and phenotypes are still an area of research. It is becoming increasingly clear that pregnant women and mothers with depression are not a homogeneous clinical group.

METHODS

A systematic literature search in 4 databases revealed 359 studies, 33 relevant studies met the inclusion criteria. We only included studies with at least three assessment points in total.

RESULTS

Two to six trajectory classes were identified. A three trajectories solution was most observed. All the included studies reported a low symptom trajectory but ranged from 6.5 % to 92 %. The high-symptom group was in most of the studies the smallest subgroup (1.1 % - 14.6 %). Most of the studies described episodic trajectories of depressive symptoms during the peripartum. The most common risk factor associated with a high-symptom trajectory of depressive symptoms in our study was a history of depression. Important socio-demographic predictors were: young age, ethnicity, low maternal education, low income, single relationship status or relationship problems, unplanned or unintended pregnancy and experiencing high stress levels.

LIMITATIONS

The methodology and the observed PND trajectories of the included studies differed, which makes generalizability difficult in this review.

CONCLUSIONS

PND is a frequent but heterogeneous disorder. Globally, four major groups could be distinguished: low, medium, high and episodic trajectories. There is a need for consensus regarding which assessment instruments to use, validated cutoff scores and similar time points of assessment.

Increases in symptoms of depression and anxiety in adults during the initial phases of the COVID-19 pandemic are limited to those with less resources: Results from the Lifelines Cohort Study

BACKGROUND

The COVID-19 pandemic may have a differential impact on mental health based on an individual's capital, i.e. resources available to maintain and enhance health. We assessed trajectories of depression and anxiety symptoms, and their association with different elements of capital.

METHODS

Data on 65,854 individuals (mean baseline age = 50·4 (SD = 12·0) years) from the Lifelines COVID-19 cohort were used. Baseline mental health symptoms were on average measured 4.7 (SD = 1·1) years before the first COVID-19 measurement wave, and subsequent waves were (bi)weekly (March 30─August 05, 2020). Mental health symptom trajectories were estimated using a two-part Latent Class Growth Analysis. Class membership was predicted by economic (education, income, and occupation) and person capital (neuroticism, poor health condition, and obesity) FINDINGS: Most individuals were unlikely to report symptoms of depression (80·6%) or anxiety (75·9%), but stable-high classes were identified for both conditions (1·6% and 6·7%, respectively). The stable-high depression class saw the greatest increase in symptoms after COVID, and the stable-high anxiety class reported an increase in the probability of reporting symptoms after COVID. At the first COVID-measurement, the mean number of symptoms increased compared to baseline (depression:4·7 vs 4·1; anxiety:4·3 vs 4·2); the probability of reporting symptoms also increased (depression:0·96 vs 0·65; anxiety:0·92 vs 0·70). Membership in these classes was generally predicted by less capital, especially person capital; odds ratios for person capital ranged from 1·10-2·22 for depression and 1·08-1·51 for anxiety.

INTERPRETATION

A minority of individuals, possessing less capital, reported an increase in symptoms of depression or anxiety after COVID.

FUNDING

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Larval Zebrafish as a Model for Mechanistic Discovery in Mental Health

Animal models are essential for the discovery of mechanisms and treatments for neuropsychiatric disorders. However, complex mental health disorders such as depression and anxiety are difficult to fully recapitulate in these models. Borrowing from the field of psychiatric genetics, we reiterate the framework of 'endophenotypes' - biological or behavioral markers with cellular, molecular or genetic underpinnings - to reduce complex disorders into measurable behaviors that can be compared across organisms. Zebrafish are popular disease models due to the conserved genetic, physiological and anatomical pathways between zebrafish and humans. Adult zebrafish, which display more sophisticated behaviors and cognition, have long been used to model psychiatric disorders. However, larvae (up to 1 month old) are more numerous and also optically transparent, and hence are particularly suited for high-throughput screening and brain-wide neural circuit imaging. A number of behavioral assays have been developed to quantify neuropsychiatric phenomena in larval zebrafish. Here, we will review these assays and the current knowledge regarding the underlying mechanisms of their behavioral readouts. We will also discuss the existing evidence linking larval zebrafish behavior to specific human behavioral traits and how the endophenotype framework can be applied. Importantly, many of the endophenotypes we review do not solely define a diseased state but could manifest as a spectrum across the general population. As such, we make the case for larval zebrafish as a promising model for extending our understanding of population mental health, and for identifying novel therapeutics and interventions with broad impact.

Advancing research on perinatal depression trajectories: Evidence from a longitudinal study of low-income women

OBJECTIVES

The current study aimed to describe and predict perinatal depression trajectories in a sample of low-income women from the first trimester of pregnancy to six months postpartum.

METHODS

The study sample consisted of 899 women in Wisconsin who received home visiting services. Eligible participants were screened for depressive symptoms by home visitors using the Edinburgh Postnatal Depression Scale at least three times across four time periods from the first trimester of pregnancy to six months postpartum. Growth Mixture Modeling was applied to identify distinct trajectory classes, and multinomial logistic regressions were performed to analyze predictors of class membership.

RESULTS

Mean depressive symptom scores in this racially/ethnically diverse sample of low-income women decreased significantly over time from a high of 8.1 at time1 to a low of 6.8 at time4. Four classes were identified, including a low-stable group (78.2% of sample), a high-stable group (10.6%) along with decreasing (7.1%) and increasing (4.1%) trajectories. Women with a history of abuse and mental health difficulties were more likely to be classified in the high-stable and decreasing depression groups than the low-stable group. Low social support was linked to an increasing trajectory that resulted in high levels of postpartum depression.

CONCLUSIONS AND IMPLICATIONS

Although most women exhibited stable and positive trajectories, more than one out of five presented with either persistently or intermittently high depression scores. Taken together, the findings underscore the importance of depression screening throughout the perinatal period and identifying factors that may be used to target resources to at-risk populations.

Familial risk for depressive and anxiety disorders: associations with genetic, clinical, and psychosocial vulnerabilities

BACKGROUND

In research and clinical practice, familial risk for depression and anxiety is often constructed as a simple Yes/No dichotomous family history (FH) indicator. However, this measure may not fully capture the liability to these conditions. This study investigated whether a continuous familial loading score (FLS), incorporating family- and disorder-specific characteristics (e.g. family size, prevalence of depression/anxiety), (i) is associated with a polygenic risk score (PRS) for major depression and with clinical/psychosocial vulnerabilities and (ii) still captures variation in clinical/psychosocial vulnerabilities after information on FH has been taken into account.

METHODS

Data came from 1425 participants with lifetime depression and/or anxiety from the Netherlands Study of Depression and Anxiety. The Family Tree Inventory was used to determine FLS/FH indicators for depression and/or anxiety.

RESULTS

Persons with higher FLS had higher PRS for major depression, more severe depression and anxiety symptoms, higher disease burden, younger age of onset, and more neuroticism, rumination, and childhood trauma. Among these variables, FH was not associated with PRS, severity of symptoms, and neuroticism. After regression out the effect of FH from the FLS, the resulting residualized measure of FLS was still associated with severity of symptoms of depression and anxiety, rumination, and childhood trauma.

CONCLUSIONS

Familial risk for depression and anxiety deserves clinical attention due to its associated genetic vulnerability and more unfavorable disease profile, and seems to be better captured by a continuous score that incorporates family- and disorder-specific characteristics than by a dichotomous FH measure.

Predictors of return to work for people on sick leave with common mental disorders: a systematic review and meta-analysis

PURPOSE

To support the return to work following common mental disorders knowing which factors influence the return to work is important. We aimed to identify factors predicting return to work for people on sick leave with disorders like stress, anxiety, and depression.

METHODS

A systematic review and meta-analyses were conducted regarding return to work at any time point, < 3 months, 3-12 months, and > 12 months of sick leave, respectively, and diagnostic subgroups.

RESULTS

The meta-analyses included 29 studies. Predictors decreasing return to work probability at any time point were higher age, being male, neuroticism and openness, previous sickness absence, and higher symptom scores. Predictors increasing return to work probability were positive return to work expectations, high return to work- and general self-efficacy, conscientiousness, and high workability index. Return to work within < 3 months of sick leave was associated with positive return to work expectations. Return to work after > 12 months was increased by higher education. Higher age was associated with decreased return to work probability after > 12 months. No significant predictors were found in diagnostic subgroups.

CONCLUSION

Results are overall consistent with earlier reviews. Future studies should focus on specific time points, diagnostic subgroups, and work-related factors.

PROSPERO REGISTRATION ID

CRD42018073396.

Multidimensional assessment of anxiety through the State-Trait Inventory for Cognitive and Somatic Anxiety (STICSA): From dimensionality to response prediction across emotional contexts

The assessment of mal-adaptive anxiety is crucial, considering the associated personal, economic, and societal burden. The State-Trait Inventory for Cognitive and Somatic Anxiety (STICSA) is a self-report instrument developed to provide multidimensional anxiety assessment in four dimensions: trait-cognitive, trait-somatic, state-cognitive and state-somatic. This research aimed to extend STICSA’s psychometric studies through the assessment of its dimensionality, reliability, measurement invariance and nomological validity in the Portuguese population. Additionally, the predictive validity of STICSA-Trait was also evaluated, through the analysis of the relationship between self-reported trait anxiety and both the subjective and the psychophysiological response across distinct emotional situations. Similarly to previous studies, results supported both a four-factor and two separated bi-factor structures. Measurement invariance across sex groups was also supported, and good nomological validity was observed. Moreover, STICSA trait-cognitive dimension was associated with differences in self-reported arousal between groups of high/low anxiety, whereas STICSA trait-somatic dimension was related to differences in both the subjective and psychophysiological response. Together, these results support STICSA as a useful instrument for a broader anxiety assessment, crucial for an informed diagnosis and practice.

Maternal depression trajectories and child BMI in a multi-ethnic sample: a latent growth modeling analysis

BACKGROUND

Perinatal (antenatal and postpartum) depression impacts approximately 12% of mothers. Perinatal depression can impact everyday functioning for mothers, and the relationship with, and development of, their children. The purpose of this study was to investigate depression trajectories from the antenatal period through 54-months postpartum and associations with child body mass index at 54-months postpartum.

METHODS

This study applied latent growth modeling to the Growing Up in New Zealand study, which is a longitudinal pregnancy cohort study that provides nationally representative-level data, to investigate associations between depression at three time points (antenatal, 9-months postpartum, 54-months postpartum) and child body mass index at 54-months (n=4897).

RESULTS

The average slope of depression for this sample is low and decreases over time. When child BMI was added to the model as an outcome variable, both antenatal depression (B=.25, p<.01), and the rate of change of depression across the perinatal and postpartum periods (B=.09, p<.01) were associated with child BMI at 54-months postpartum. After controlling for sociodemographic characteristics, antenatal depression, but not the slope of depression, remained significantly associated with child BMI (B=.05, p<.05). When controlling for maternal pre-pregnancy BMI the effect of antenatal depression on child BMI at 54-months was entirely attenuated (χ2 (9) = 39.60, p < .05, SRMR = 0.01, CFI = .99, RMSEA = 0.03, BIC=53213).

CONCLUSIONS

Our findings align with the Developmental Origins of Health and Disease theory and imply that both the physical and mental health of mothers during pregnancy may be important indicators of child growth and development outcomes. Early intervention directed towards women who have even mild depression scores during pregnancy may promote healthy child development outcomes. Additionally, given the heterogeneity of depressive symptoms over time seen in this study, multiple assessment periods across the postpartum period may be valuable to adequately address and support maternal mental health.

Symptom profiles of women at risk of mood disorders: A latent class analysis

BACKGROUND

Depression is the leading cause of disease burden among women worldwide. However, an understanding of symptom profiles among women at risk of mood disorders is limited. We determined distinct profiles of affective symptoms among high risk women, along with their distinguishing characteristics.

METHODS

Women were recruited from 17 clinical sites affiliated with the National Network of Depression Centers. They completed measures of depression (Patient Health Questionnaire - 9) and anxiety (Generalized Anxiety Disorder - 7) as well as questions regarding demographics, reproductive status, behavioral/mental health history, and life stress/adversity. Latent class analysis and multinomial logistic regression were used to identify and characterize symptom profiles.

RESULTS

5792 women participated, ages 18 to 90 (M = 38). Three latent classes were identified: generally asymptomatic (48%), elevated symptoms of comorbid anxiety and depression (16%), and somatic symptoms (36%). Financial security and greater social support were protective factors that distinguished asymptomatic women. The profile of the class with elevated anxiety/depressive symptoms constituted a complex mix of adverse social determinants and potentially heritable clinical features, including a diagnosis of Bipolar Disorder. Women in the 3rd latent class were characterized by menstrual irregularity and a stronger expression of neurovegetative symptoms, especially sleep disturbance and fatigue.

LIMITATIONS

Limitations included less than optimal racial diversity of our sample and reliance on self-report.

CONCLUSIONS

Different symptom profiles may reflect distinct subtypes of women at risk of mood disorders. Understanding the etiology and mechanisms underlying clinical and psychosocial features of these profiles can inform more precisely targeted interventions to address women's diverse needs.

The putative role of the relaxin-3/RXFP3 system in clinical depression and anxiety: A systematic literature review

The relaxin-3/RXFP3 system is one of several neuropeptidergic systems putatively implicated in regulating the behavioural alterations that characterise clinical depression and anxiety, making it a potential target for clinical translation. Accordingly, this systematic review identified published reports on the role of relaxin-3/RXFP3 signalling in these neuropsychiatric disorders and their behavioural endophenotypes, evaluating evidence from animal and human studies to ascertain any relationship. We searched PubMed, EMBASE, PsycINFO and Google Scholar databases up to February 2021, finding 609 relevant records. After stringent screening, 51 of these studies were included in the final synthesis. There was considerable heterogeneity in study designs and some inconsistency across study outcomes. However, experimental evidence is consistent with an ability of relaxin-3/RXFP3 signalling to promote arousal and suppress depressive- and anxiety-like behaviour. Moreover, meta-analyses of six to eight articles investigating food intake revealed that acute RXFP3 activation had strong orexigenic effects in rats. This appraisal also identified the lack of high-quality clinical studies pertinent to the relaxin-3/RXFP3 system, a gap that future research should attempt to bridge.

Depression and anxiety in an early rheumatoid arthritis inception cohort. associations with demographic, socioeconomic and disease features

Objective

Depression and anxiety are not uncommon in Rheumatoid arthritis (RA). It is increasingly recognised that they are associated with high disease activity and worse disease outcomes. We aimed to examine the frequency of depression and anxiety in an early RA inception cohort and to explore associations with disease-related measures.

Methods

The Scottish Early Rheumatoid Arthritis inception cohort recruited newly diagnosed RA patients followed-up 6-monthly. Anxiety and depression were assessed using the hospital anxiety and depression scale. Associations with demographic characteristics and disease-related measures were examined at baseline, 6 months and 12 months.

Results

848 RA patients were included. The prevalence of anxiety and depression at baseline was 19.0% and 12.2%, respectively. Depression and anxiety scores correlated with DAS28 at all time-points (all p<0.0001). In multivariable linear regression, anxiety score at baseline was associated with younger age and Health Assessment Questionnaire (HAQ) score. Anxiety scores at 6 months and 12 months were associated with low body mass index (BMI), baseline anxiety score and current patient global score and HAQ. Depression score at baseline was associated with younger age, being single and HAQ, while depression scores at 6 months and 12 months were associated with male gender (only at 6 months), baseline anxiety and depression scores and current patient global score, HAQ and C-reactive protein (CRP) levels.

Conclusion

Depression and anxiety are associated with disease activity, worse functional status and other variables in early RA. There is a close relationship between CRP and depression but not anxiety.

Genetic susceptibility for major depressive disorder associates with trajectories of depressive symptoms across childhood and adolescence

BACKGROUND

Early-onset depression during childhood and adolescence is associated with a worse course of illness and outcome than adult onset. However, the genetic factors that influence risk for early-onset depression remain mostly unknown. Using data collected over 13 years, we examined whether polygenic risk scores (PRS) that capture genetic risk for depression were associated with depressive symptom trajectories assessed from childhood to adolescence.

METHODS

Data came from the Avon Longitudinal Study of Parents and Children, a prospective, longitudinal birth cohort (analytic sample = 7,308 youth). We analyzed the relationship between genetic susceptibility to depression and three time-dependent measures of depressive symptoms trajectories spanning 4-16.5 years of age (class, onset, and cumulative burden). Trajectories were constructed using a growth mixture model with structured residuals. PRS were generated from the summary statistics of a genome-wide association study of depression risk using data from the Psychiatric Genomics Consortium, UK Biobank, and 23andMe, Inc. We used MAGMA to identify gene-level associations with these measures.

RESULTS

Youth were classified into six classes of depressive symptom trajectories: high/renitent (27.9% of youth), high/reversing (9.1%), childhood decrease (7.3%), late childhood peak (3.3%), adolescent spike (2.5%), and minimal symptoms (49.9%). PRS discriminated between youth in the late childhood peak, high/reversing, and high/renitent classes compared to the minimal symptoms and childhood decrease classes. No significant associations were detected at the gene level.

CONCLUSIONS

This study highlights differences in polygenic loading for depressive symptoms across childhood and adolescence, particularly among youths with high symptoms in early adolescence, regardless of age-independent patterns.

Combining transcranial magnetic stimulation with functional magnetic resonance imaging for probing and modulating neural circuits relevant to affective disorders

Combining transcranial magnetic stimulation (TMS) with functional magnetic resonance imaging offers an unprecedented tool for studying how brain networks interact in vivo and how repetitive trains of TMS modulate those networks among patients diagnosed with affective disorders. TMS compliments neuroimaging by allowing the interrogation of causal control among brain circuits. Together with TMS, neuroimaging can provide valuable insight into the mechanisms underlying treatment effects and downstream circuit communication. Here we provide a background of the method, review relevant study designs, consider methodological and equipment options, and provide statistical recommendations. We conclude by describing emerging approaches that will extend these tools into exciting new applications. This article is categorized under: Psychology > Emotion and Motivation Psychology > Theory and Methods Neuroscience > Clinical Neuroscience.

Multiple dimensions of sleep are consistently associated with chronically elevated depressive symptoms from late pregnancy to 3 years postnatal in Indigenous and non-Indigenous New Zealand women

INTRODUCTION

Poor sleep and depressive symptoms are common throughout the perinatal period, but little is known about the extended time course of depression and the sleep dimensions associated with these trajectories.

OBJECTIVE

This study investigated different depression trajectories in New Zealand Māori and non-Māori women from late pregnancy to 3 years postnatal. Relationships between multiple dimensions of sleep and these depression trajectories were also investigated.

METHODS

Data from 856 women (30.6% Māori and 69.4% non-Māori) from the longitudinal Moe Kura cohort study were used. Depressive symptoms and multiple dimensions of sleep (quality, duration, latency, continuity and daytime sleepiness) were collected at 36 weeks' gestation, 12 weeks postnatal and 3 years postnatal. Trajectory analysis was completed using latent class analysis.

RESULTS

Latent class analysis revealed two distinct groups of depressive symptom trajectories: 'chronic high' and 'stable mild' for both Māori and non-Māori women. Māori women in both trajectories were more likely than non-Māori women to have clinically significant depressive symptoms at every time point. Poorer sleep quality, latency, continuity and greater daytime sleepiness were consistently associated with the chronic high depressive symptom trajectory at all three time points, after controlling for sociodemographic factors.

CONCLUSION

A significant proportion of Māori and non-Māori women experience chronically high depressive symptoms during the perinatal period and the following years. Across this extended time frame, Māori women have a higher probability of experiencing clinically significant depressive symptoms compared to non-Māori women. These persistent patterns of depressive symptoms occur concurrently with multiple dimensions of poor sleep. Given the well-described impact of maternal depression on the mother, child, family and community, this highlights the importance of healthcare professionals asking about mothers' sleep quality, continuity, latency and daytime sleepiness as potential indicators of long-term mood outcomes.

Cohort profile of the longitudinal Netherlands Study of Depression and Anxiety (NESDA) on etiology, course and consequences of depressive and anxiety disorders

INTRODUCTION

The Netherlands Study of Depression and Anxiety (NESDA, www.nesda.nl) is a longitudinal, multi-site, naturalistic, case-control cohort study set up to examine the etiology, course and consequences of depressive and anxiety disorders. This paper presents a cohort profile of NESDA.

METHODS AND RESULTS

The NESDA sample recruited initially 2329 persons with a remitted or current DSM-IV based depressive (major depressive disorder, dysthymia) and/or anxiety disorder (panic disorder, social phobia, agoraphobia, generalized anxiety disorder), 367 of their siblings and 652 healthy controls, yielding a total of 3348 participants. Half-day face-to-face assessments of participants started in 2004 and since then have been repeated six times over a period of 9 years. A 13-year follow-up assessment is ongoing, at what time we also recruit offspring of participants. Retention rates are generally high, ranging from 87.1% (after 2 years) to 69.4% (after 9 years). Psychiatric diagnostic interviews have been administered at all face-to-face assessments, as was monitoring of clinical characteristics, psychosocial functioning and somatic health. Assessed etiological factors include e.g. early and current environmental risk factors, psychological vulnerability and resilience factors as well as (neuro)biology through hypothesis-driven biomarker assessments, genome-wide and large-scale '-omics' assessments, and neuroimaging assessments.

LIMITATIONS

The naturalistic design allows research into course and consequences of affective disorders but is limited in treatment response interpretation.

CONCLUSIONS

NESDA provides a strong research infrastructure for research into depressive and/or anxiety disorders. Its data have been used for many scientific papers describing either NESDA-based analyses or joint collaborative consortia-projects, and are in principle available to researchers outside the NESDA consortium.

Trajectories of symptoms of anxiety and depression among people on sick leave with mood or anxiety disorders: Secondary analysis from a randomized controlled trial

BACKGROUND

Depression and anxiety are heterogenous disorders often combined into one entity in studies. Few studies have compared trajectories of depression and anxiety among clinically ill. We aimed to identify specific trajectories of depression, and anxiety and predictors of trajectory membership.

METHODS

Latent growth mixture modelling was carried out on data from the IPS-MA trial (n = 261), a supported employment intervention for people with mood or anxiety, to identify trajectories of depression and anxiety. Logistic regression was used to estimate predictors for trajectory membership. Associations between trajectory class and remission of comorbid depression or anxiety and return to work were also tested.

RESULTS

We identified three trajectories of depression and anxiety symptoms respectively; moderate-decreasing (60%), moderate-stable (26%), and low-stable (14%) depression and mild-decreasing (59%), moderate-decreasing (33%), and moderate-stable (8%) anxiety. The depression model showed low precision in class separation (entropy 0.66), hence, predictors of class membership were not estimated. For anxiety, lower age and higher levels of depressive symptoms were associated with a less desirable trajectory. Remission of comorbid depressive symptoms after two years differed significantly between classes (p < 0.000). Fewer had returned to work in the two moderate classes compared to the mild-decreasing anxiety class.

LIMITATIONS

Depression model not reliable. Only 80% of participants from original study included. Not able to distinguish between anxiety disorders.

CONCLUSION

Trajectories of anxiety confirm that, even after two years, a rather large proportion in the moderate-stable class had symptoms of moderate anxiety, moderate comorbid depressive symptoms, and less probability of having returned to work.

TRIAL REGISTRATION

ClinicalTrials.govNCT01721824.

Resilience Predicts the Trajectories of College Students' Daily Emotions During COVID-19: A Latent Growth Mixture Model

The objective of this study was to examine the association between resilience and trajectories of college students’ negative and positive affect during the COVID-19 pandemic. A total of 391 college students recruited from China completed a daily online negative and positive affect scale for 1 week, and their resilience was also measured. Profiles of brief trajectories of negative and positive affect over time were identified using the latent growth mixture model, and the effect of resilience on these trajectories was further explored. Two latent profiles of negative affect were found: a constant high negative affect profile and a slowly decreasing low negative affect profile, while three latent profiles of positive affect were identified: a slowly increasing high positive affect profile, a rapidly decreasing medium positive affect profile, and a constant medium positive affect profile. The optimism dimension of resilience predicted the membership in the various profiles significantly, whereas the prediction of tenacity and strength dimensions of resilience was not significant. Activities that promote resilience, especially optimism, should be included to improve the daily emotions of college students during COVID-19.

Neuroendocrine, neuroinflammatory and pathological outcomes of chronic stress: A story of microglial remodeling

Microglia, the resident macrophage cells of the central nervous system (CNS), are involved in a myriad of processes required to maintain CNS homeostasis. These cells are dynamic and can adapt their phenotype and functions to the physiological needs of the organism. Microglia rapidly respond to changes occurring in their microenvironment, such as the ones taking place during stress. While stress can be beneficial for the organism to adapt to a situation, it can become highly detrimental when it turns chronic. Microglial response to prolonged stress may lead to an alteration of their beneficial physiological functions, becoming either maladaptive or pro-inflammatory. In this review, we aim to summarize the effects of chronic stress exerted on microglia through the neuroendocrine system and inflammation at adulthood. We also discuss how these effects of chronic stress could contribute to microglial involvement in neuropsychiatric and sleep disorders, as well as neurodegenerative diseases.

Individual vs. Group Cognitive Behavior Therapy for Anxiety Disorder in Children and Adolescents: A Meta-Analysis of Randomized Controlled Trials

Background: Anxiety disorder is the most prevalent mental disorder in children and adolescents. However, evidence for efficacy and acceptability between individual cognitive behavior therapy (I-CBT) and group cognitive behavior therapy (G-CBT) in anxiety disorders in children and adolescents remains unclear. Methods: Eight electronic databases (PubMed, Embase, Cochrane, Web of Science, CINAHL, PsycINFO, ProQuest, and LILACS) were searched from inception to October 2019. Randomized controlled trials comparing I-CBT with G-CBT for anxiety disorders in children and adolescents were included. The primary outcomes were efficacy (mean change in anxiety symptom scores) at post-treatment and acceptability (all-cause discontinuation). The secondary outcome was remission at post-treatment. Subgroup analyses were also conducted to examine whether the result would be influenced by age, number of treatment sessions, parental involvement, male/female sex, and number of participants. Results: Nine studies were selected in this meta-analysis. The pooled analyses indicated no significant difference between I-CBT and G-CBT for efficacy at post-treatment [standardized mean difference (SMD), -0.14; 95% confidence interval (CI), -0.37 to 0.09], acceptability [odds ratio (OR), 1.30; 95% CI, 0.61-2.77], and remission at post-treatment (OR, 1.15; 95% CI, 0.79-1.66). In the subgroup analysis of age, I-CBT was significantly more effective than G-CBT in adolescents at post-treatment (SMD, -0.77; 95% CI, -1.51 to -0.02), but not in children (SMD, 0.00; 95% CI, -0.02 to 0.20). However, the findings were not materially different from those of the efficacy subgroup analysis of number of treatment sessions, parental involvement, male/female sex, and number of participants. Conclusions: Based on those current evidence, I-CBT was shown to be more beneficial than G-CBT for anxiety disorders in adolescents, but not in children. However, further well-designed clinical studies should be performed to confirm these findings. Systematic Review Registration:http://osf.io/xrjkp, identifier: 10.17605/OSF.IO/XRJKP.

Poor Separation of Clinical Symptom Profiles by DSM-5 Disorder Criteria

Assessment of mental illness typically relies on a disorder classification system that is considered to be at odds with the vast disorder comorbidity and symptom heterogeneity that exists within and across patients. Patients with the same disorder diagnosis exhibit diverse symptom profiles and comorbidities creating numerous clinical and research challenges. Here we provide a quantitative analysis of the symptom heterogeneity and disorder comorbidity across a sample of 107,349 adult individuals (aged 18-85 years) from 8 English-speaking countries. Data were acquired using the Mental Health Quotient, an anonymous, online, self-report tool that comprehensively evaluates symptom profiles across 10 common mental health disorders. Dissimilarity of symptom profiles within and between disorders was then computed. We found a continuum of symptom prevalence rather than a clear separation of normal and disordered. While 58.7% of those with 5 or more clinically significant symptoms did not map to the diagnostic criteria of any of the 10 DSM-5 disorders studied, those with symptom profiles that mapped to at least one disorder had, on average, 20 clinically significant symptoms. Within this group, the heterogeneity of symptom profiles was almost as high within a disorder label as between 2 disorder labels and not separable from randomly selected groups of individuals with at least one of any of the 10 disorders. Overall, these results quantify the scale of misalignment between clinical symptom profiles and DSM-5 disorder labels and demonstrate that DSM-5 disorder criteria do not separate individuals from random when the complete mental health symptom profile of an individual is considered. Greater emphasis on empirical, disorder agnostic approaches to symptom profiling would help overcome existing challenges with heterogeneity and comorbidity, aiding clinical and research outcomes.

Repeated Digitized Assessment of Risk and Symptom Profiles During Inpatient Treatment of Affective Disorder: Observational Study

BACKGROUND

Predictive models have revealed promising results for the individual prognosis of treatment response and relapse risk as well as for differential diagnosis in affective disorders. Yet, in order to translate personalized predictive modeling from research contexts to psychiatric clinical routine, standardized collection of information of sufficient detail and temporal resolution in day-to-day clinical care is needed. Digital collection of self-report measures by patients is a time- and cost-efficient approach to gain such data throughout treatment.

OBJECTIVE

The objective of this study was to investigate whether patients with severe affective disorders were willing and able to participate in such efforts, whether the feasibility of such systems might vary depending on individual patient characteristics, and if digitally acquired assessments were of sufficient diagnostic validity.

METHODS

We implemented a system for longitudinal digital collection of risk and symptom profiles based on repeated self-reports via tablet computers throughout inpatient treatment of affective disorders at the Department of Psychiatry at the University of Münster. Tablet-handling competency and the speed of data entry were assessed. Depression severity was additionally assessed by a clinical interviewer at baseline and before discharge.

RESULTS

Of 364 affective disorder patients who were approached, 242 (66.5%) participated in the study; 88.8% of participants (215/242) were diagnosed with major depressive disorder, and 27 (11.2%) had bipolar disorder. During the duration of inpatient treatment, 79% of expected assessments were completed, with an average of 4 completed assessments per participant; 4 participants (4/242, 1.6%) dropped out of the study prematurely. During data entry, 89.3% of participants (216/242) did not require additional support. Needing support with tablet handling and slower data entry pace were predicted by older age, whereas depression severity at baseline did not influence these measures. Patient self-reporting of depression severity showed high agreement with standardized external assessments by a clinical interviewer.

CONCLUSIONS

Our results indicate that digital collection of self-report measures is a feasible, accessible, and valid method for longitudinal data collection in psychiatric routine, which will eventually facilitate the identification of individual risk and resilience factors for affective disorders and pave the way toward personalized psychiatric care.

Computational Analysis of Multidimensional Behavioral Alterations After Chronic Social Defeat Stress

BACKGROUND

The study of depression in humans depends on animal models that attempt to mimic specific features of the human syndrome. Most studies focus on one or a few behavioral domains, with time and practical considerations prohibiting a comprehensive evaluation. Although machine learning has enabled unbiased analysis of behavior in animals, this has not yet been applied to animal models of psychiatric disease.

METHODS

We performed chronic social defeat stress (CSDS) in mice and evaluated behavior with PsychoGenics' SmartCube, a high-throughput unbiased automated phenotyping platform that collects >2000 behavioral features based on machine learning. We evaluated group differences at several times post-CSDS and after administration of the antidepressant medication imipramine.

RESULTS

SmartCube analysis after CSDS successfully separated control and defeated-susceptible mice, and defeated-resilient mice more resembled control mice. We observed a potentiation of CSDS effects over time. Treatment of susceptible mice with imipramine induced a 40.2% recovery of the defeated-susceptible phenotype as assessed by SmartCube.

CONCLUSIONS

High-throughput analysis can simultaneously evaluate multiple behavioral alterations in an animal model for the study of depression, which provides a more unbiased and holistic approach to evaluating group differences after CSDS and perhaps can be applied to other mouse models of psychiatric disease.

Pain perception and processing in individuals with posttraumatic stress disorder: a systematic review with meta-analysis

Posttraumatic stress disorder (PTSD) is a known risk factor for the development of chronic pain conditions, and almost 1 in 5 individuals with chronic pain fulfills the criteria for PTSD. However, the relationship between PTSD and pain is poorly understood and studies on pain perception in patients with PTSD show inconsistent results suggesting that different sensory profiles exist among individuals with PTSD. Here, we (1) systematically summarize the current literature on experimentally evoked pain perception in patients with PTSD compared to subjects without PTSD, and (2) assess whether the nature of the traumatic event is associated with different patterns in pain perception. The main outcome measures were pain threshold, pain tolerance, and pain intensity ratings as well as measures of temporal summation of pain and conditioned pain modulation. A systematic search of MEDLINE, EMBASE, Web of Science, PsycINFO, and CINAHL identified 21 studies for the meta-analysis, including 422 individuals with PTSD and 496 PTSD-free controls. No main effect of PTSD on any outcome measure was found. However, stratification according to the nature of trauma revealed significant differences of small to medium effect sizes. Combat-related PTSD was associated with increased pain thresholds, whereas accident-related PTSD was associated with decreased pain thresholds. No clear relationship between PTSD and experimentally evoked pain perception exists. The type of trauma may affect pain thresholds differently indicating the presence of different subgroups with qualitative differences in pain processing.

Approaches to Defining Common and Dissociable Neurobiological Deficits Associated With Psychopathology in Youth

Psychiatric disorders show high rates of comorbidity and nonspecificity of presenting clinical symptoms, while demonstrating substantial heterogeneity within diagnostic categories. Notably, many of these psychiatric disorders first manifest in youth. We review progress and next steps in efforts to parse heterogeneity in psychiatric symptoms in youths by identifying abnormalities within neural circuits. To address this fundamental challenge in psychiatry, a number of methods have been proposed. We provide an overview of these methods, broadly organized into dimensional versus categorical approaches and single-view versus multiview approaches. Dimensional approaches including factor analysis and canonical correlation analysis aim to capture dimensional associations between psychopathology and brain measures across a continuous spectrum from health to disease. In contrast, categorical approaches, such as clustering and community detection, aim to identify subtypes of individuals within a class of symptoms or brain features. We highlight several studies that apply these methods to samples of youths and discuss issues to consider when using these approaches. Finally, we end by highlighting avenues for future research.

Separation Anxiety Symptom Profiles and Parental Accommodation Across Pediatric Anxiety Disorders

Parental accommodation refers to ways in which caregivers modify their behavior to decrease child distress in the short-term. Accommodation is prevalent among anxious youth and related to decreased treatment and functional outcomes. Although separation anxiety disorder (SAD) is associated with increased accommodation, SAD is not a predictor of treatment response, suggesting that a diagnosis of SAD alone may not be enough to clarify the relationship between accommodation and separation anxiety symptoms within a clinical context. Participants were youth with a primary anxiety disorder (N = 186; aged 7-17) enrolled in an outpatient anxiety clinic. Latent class analysis was used to extract profiles from parent-reported SAD symptoms using the Anxiety Disorders Interview Schedule for DSM-IV/5. Profiles were compared on pre-treatment accommodation. Low, moderate, and interfering SAD classes emerged. Interfering SAD was associated with high accommodation. Results help to clarify the association between SAD and accommodation and has implications for personalized intervention.

Association between trauma exposure and mood trajectories in patients with mood disorders

BACKGROUND

Trauma exposure is associated with the development of mood disorders and their phenotypic presentation. Cross-sectional associations between trauma exposure and mood disorders are well documented. Data on the association of trauma with longitudinal mood trajectories are lacking. We investigated the association between trauma exposure and weekly mood trajectories.

METHOD

Mood disorder patients (N = 107; female = 81; mean age = 37.04 years), assessed for trauma exposure at baseline using the Childhood Trauma Questionnaire (CTQ) and Life Events Checklist (LEC), completed weekly telephonic mood assessments using the Quick Inventory of Depressive Symptomatology (QIDS) and Altman Self-Rating Mania scale (ASRM) over a 16 week period commencing at one week post-discharge from hospital. Associations between trauma exposure, severity of mood symptoms and mood trajectories were analysed using Pearson's correlations, LS Mean scores, F-statistics, and RMANOVA.

RESULTS

Trauma exposure was persistently associated, albeit with some fluctuation in the strength of the association, with depressive symptomatology. Emotional abuse showed the most persistent association over time. Sexual abuse was minimally associated with depressive symptomatology. The severity of childhood trauma exposure was positively correlated with the severity of depressive symptoms. Lifetime traumatic events were significantly associated with mania scores, however there was no association between childhood trauma exposure and mania symptoms.

CONCLUSION

Identification of both a history of childhood abuse and neglect and lifetime traumatic event exposure is important in the assessment and management of patients with mood disorders, as trauma can exert a persistent impact on depression trajectories and on symptom severity.