On the transience of stability of subthreshold psychopathology

Symptoms of psychopathology lie on a continuum ranging from mental health to psychiatric disorders. Although much research has focused on progression along this continuum, for most individuals, subthreshold symptoms do not escalate into full-blown disorders. This study investigated how the stability of psychopathological symptoms (attractor strength) varies across severity levels (homebase). Data were retrieved from the TRAILS TRANS-ID study, where 122 at-risk young adults (mean age 23.6 years old, 57% males) monitored their mental states daily for a period of six months (± 183 observations per participant). We estimated each individual’s homebase and attractor strength using generalized additive mixed models. Regression analyses showed no association between homebases and attractor strengths (linear model: B = 0.02, p = 0.47, R(2) < 0.01; polynomial model: B < 0.01, p = 0.61, R(2) < 0.01). Sensitivity analyses where we (1) weighed estimates according to their uncertainty and (2) removed individuals with a DSM-5 diagnosis from the analyses did not change this finding. This suggests that stability is similar across severity levels, implying that subthreshold psychopathology may resemble a stable state rather than a transient intermediate between mental health and psychiatric disorder. Our study thus provides additional support for a dimensional view on psychopathology, which implies that symptoms differ in degree rather than kind

Initial validation of the Multidimensional Adolescent Functioning Scale (MAFS) in Spanish-speaking students from Chilean secondary schools

Introduction: Psychosocial functioning is closely associated with psychopathology and wellbeing in different populations, particularly adolescents. Despite its relevance, measures assessing psychosocial functioning in healthy adolescents are scant as most focus on adults or clinical populations. We evaluated the psychometric properties of the Multidimensional Adolescent Functioning Scale (MAFS), a self-report questionnaire created to assess three dimensions of psychosocial functioning (‘general functioning’, ‘family-related functioning’, and ‘peer-related functioning’) in adolescents from the general population. Methods: After translation and cultural adaptation, we administered the Spanish MAFS to 619 adolescents aged 14 to 19. We assessed the factor structure, internal consistency, and associations with depressive symptoms, suicidal ideation, cognitive-behavioral skills, cognitive reappraisal (CR), and expressive suppression (ES). We additionally tested for measurement invariance based on biological sex. Results: The original three-factor structure showed the best fit. Internal consistency was good for the total scale (ω = 0.874; α = 0.869; GLB = 0.939, r M=0.216) and for all subscales (ω = 0.806-0.839; α = 0.769 to 0.812; GLB = 0.861-0.873). Correlations between all three MAFS subscales were significant, ranging between 0.291 and 0.554. All MAFS subscales correlated positively and significantly with cognitive-behavioral skills and adaptive regulatory strategies and negatively with depressive symptoms and suicidal ideation. Conclusion: The Spanish MAFS translation is a valid and reliable self-report measure to assess three domains of psychosocial functioning in adolescents aged 14–19 from the general population.</p

Anticipating Transitions in Mental Health in At-Risk Youths:A 6-Month Daily Diary Study Into Early-Warning Signals

If psychopathology behaves like a complex dynamic system, sudden onset or worsening of symptoms may be preceded by early-warning signals (EWSs). EWSs could thus reflect personalized warning signals for impending psychopathology. We empirically investigated this hypothesis in at-risk youths (N = 122, mean age = 23.6 ± 0.7 years, 57% males) from the clinical cohort of Tracking Adolescents’ Individual Lives Survey (TRAILS-CC), who provided daily emotion assessments for 6 months. We analyzed whether EWSs (rising autocorrelations and standard deviations in emotions) preceded transitions toward psychopathology. Across indicators and a range of analytical options, EWSs had low sensitivity (M = 26%, SD = 11%) and moderate specificity (M = 75%, SD = 14%). Thus, in the present sample, the proposed generic nature and clinical utility of EWSs could not be substantiated. Given this finding, we call for a more nuanced view on the application of complex-dynamic-systems principles to psychopathology and lay out key questions to be addressed in the future

Group, subgroup, and person specific symptom associations in individuals at different levels of risk for psychosis:A combination of theory-based and data-driven approaches

Introduction Dynamics between symptoms may reveal insights into mechanisms underlying the development of psychosis. We combined a top-down (theory-based) and bottom-up (data-driven) approach to examine which symptom dynamics arise on group-level, on subgroup levels, and on individual levels in early clinical stages. We compared data-driven subgroups to theory-based subgroups, and explored how the data-driven subgroups differed from each other. Methods Data came from N = 96 individuals at risk for psychosis divided over four subgroups (n1 = 25, n2 = 27, n3 = 24, n4 = 20). Each subsequent subgroup represented a higher risk for psychosis (clinical stages 0-1b). All individuals completed 90 days of daily diaries, totaling 8640 observations. Confirmatory Subgrouping Group Iterative Multiple Model Estimation (CS-GIMME) and subgrouping (S-)-GIMME were used to examine group-level associations, respectively, theory-based and data-driven subgroups associations, and individual-specific associations between daily reports of depression, anxiety, stress, irritation, psychosis, and confidence. Results One contemporaneous group path between depression and confidence was identified. CS-GIMME identified several subgroup-specific paths and some paths that overlapped with other subgroups. S-GIMME identified two data-driven subgroups, with one subgroup reporting more psychopathology and lower social functioning. This subgroup contained most individuals from the higher stages and those with more severe psychopathology from the lower stages, and shared more connections between symptoms. Discussion Although subgroup-specific paths were recovered, no clear ordering of symptom patterns was found between different early clinical stages. Theory-based subgrouping distinguished individuals based on psychotic severity, whereas data-driven subgrouping distinguished individuals based on overall psychopathological severity. Future work should compare the predictive value of both methods

Sexual assault and psychosis in two large general population samples:Is childhood and adolescence a developmental window of sensitivity?

Background: Research has shown a strong relationship between psychosis and sexual assault. Theories on developmental trauma as a causal factor for psychosis suggest that exposure to sexual trauma in childhood would have a stronger association with psychosis than sexual trauma in adulthood. We hypothesized that exposure to sexual trauma earlier in childhood and adolescence would be more strongly associated with hallucinations, delusional beliefs and psychotic disorder than sexual trauma that occurred later in life. Methods: Using the 2007 and 2014 Adult Psychiatric Morbidity Surveys (N = 14,949) we calculated the prevalence of sexual assault, hallucinations, delusional beliefs, and psychotic disorder. We used logistic regression to examine the relationship between age of exposure to sexual assault (first exposure 16. Our findings do not support the idea that childhood and adolescence are uniquely sensitive periods for the emergence of psychotic experiences or psychotic disorder in relation to sexual trauma

Hallucinations in the general population across the adult lifespan:Prevalence and psychopathologic significance

Background: Community studies have found a relatively high prevalence of hallucinations, which are associated with a range of (psychotic and non-psychotic) mental disorders, as well as with suicidal ideation and behaviour. The literature on hallucinations in the general population has largely focused on adolescents and young adults. Aims: We aimed to explore the prevalence and psychopathologic significance of hallucinations across the adult lifespan. Method: Using the 1993, 2000, 2007 and 2014 cross-sectional Adult Psychiatric Morbidity Survey series (N = 33 637), we calculated the prevalence of past-year hallucinations in the general population ages 16 to ≥90 years. We used logistic regression to examine the relationship between hallucinations and a range of mental disorders, suicidal ideation and suicide attempts. Results: The prevalence of past-year hallucinations varied across the adult lifespan, from a high of 7% in individuals aged 16-19 years, to a low of 3% in individuals aged ≥70 years. In all age groups, hallucinations were associated with increased risk for mental disorders, suicidal ideation and suicide attempts, but there was also evidence of significant age-related variation. In particular, hallucinations in older adults were less likely to be associated with a cooccurring mental disorder, suicidal ideation or suicide attempt compared with early adulthood and middle age. Conclusions Our findings highlight important life-course developmental features of hallucinations from early adulthood to old age

Onset and transition of and recovery from adverse development:study methodology

AIM: Early intervention programs for first-episode psychosis have led to the awareness that the period before onset of a first episode is important in light of early intervention. This has induced a focus on the so-called 'at risk mental state' (ARMS). Individuals with ARMS are at increased risk for later psychotic disorder, but also for other psychiatric disorders as well as poor psychosocial functioning. Thus, adequate detection and treatment of ARMS is essential. METHODS: Since 2018, screening for and treatment of ARMS is recommended standard care in the Netherlands. Implementation is still ongoing. We initiated a naturalistic long-term cohort study of ARMS individuals, the onset and transition of and recovery from adverse development (OnTheROAD) study, with the aim to monitor course and outcome of symptoms and psychosocial functioning over time, as well as patterns of comorbidity and associations with factors of risk and resilience. To this end, participants complete a broad battery of instruments at baseline and yearly follow-up assessments up to 3 years. Outcome is defined in terms of symptom severity level, functioning and quality of life. In particular, we aim to investigate the impact of negative symptoms as part of the ARMS concept. Results from this study can aid in refining the existing ARMS criteria, understanding the developmental course of ARMS and investigating the hypothesized pluripotentiality in outcome of ARMS. New knowledge may inform the further development of specialized early interventions. RESULTS AND CONCLUSIONS: In this article, we describe the rationale, outline and set-up of OnTheROAD

Comorbidity between depression and anxiety:assessing the role of bridge mental states in dynamic psychological networks

Background: Comorbidity between depressive and anxiety disorders is common. A hypothesis of the network perspective on psychopathology is that comorbidity arises due to the interplay of symptoms shared by both disorders, with overlapping symptoms acting as so-called bridges, funneling symptom activation between symptom clusters of each disorder. This study investigated this hypothesis by testing whether (i) two overlapping mental states "worrying"and "feeling irritated"functioned as bridges in dynamic mental state networks of individuals with both depression and anxiety as compared to individuals with either disorder alone, and (ii) overlapping or non-overlapping mental states functioned as stronger bridges. Methods: Data come from the Netherlands Study of Depression and Anxiety (NESDA). A total of 143 participants met criteria for comorbid depression and anxiety (65%), 40 participants for depression-only (18.2%), and 37 for anxiety-only (16.8%) during any NESDA wave. Participants completed momentary assessments of symptoms (i.e., mental states) of depression and anxiety, five times a day, for 2 weeks (14,185 assessments). First, dynamics between mental states were modeled with a multilevel vector autoregressive model, using Bayesian estimation. Summed average lagged indirect effects through the hypothesized bridge mental states were compared between groups. Second, we evaluated the role of all mental states as potential bridge mental states. Results: While the summed indirect effect for the bridge mental state "worrying"was larger in the comorbid group compared to the single disorder groups, differences between groups were not statistically significant. The difference between groups became more pronounced when only examining individuals with recent diagnoses (< 6 months). However, the credible intervals of the difference scores remained wide. In the second analysis, a non-overlapping item ("feeling down") acted as the strongest bridge mental state in both the comorbid and anxiety-only groups. Conclusions: This study empirically examined a prominent network-approach hypothesis for the first time using longitudinal data. No support was found for overlapping mental states "worrying"and "feeling irritable"functioning as bridge mental states in individuals vulnerable for comorbid depression and anxiety. Potentially, bridge mental state activity can only be observed during acute symptomatology. If so, these may present as interesting targets in treatment, but not prevention. This requires further investigation

Combining Clinical With Cognitive or Magnetic Resonance Imaging Data for Predicting Transition to Psychosis in Ultra High-Risk Patients:Data From the PACE 400 Cohort

Background: Multimodal modeling that combines biological and clinical data shows promise in predicting transition to psychosis in individuals who are at ultra-high risk. Individuals who transition to psychosis are known to have deficits at baseline in cognitive function and reductions in gray matter volume in multiple brain regions identified by magnetic resonance imaging.Methods: In this study, we used Cox proportional hazards regression models to assess the additive predictive value of each modality—cognition, cortical structure information, and the neuroanatomical measure of brain age gap—to a previously developed clinical model using functioning and duration of symptoms prior to service entry as predictors in the Personal Assessment and Crisis Evaluation (PACE) 400 cohort. The PACE 400 study is a well-characterized cohort of Australian youths who were identified as ultra-high risk of transitioning to psychosis using the Comprehensive Assessment of At Risk Mental States (CAARMS) and followed for up to 18 years; it contains clinical data (from N = 416 participants), cognitive data (n = 213), and magnetic resonance imaging cortical parameters extracted using FreeSurfer (n = 231).Results: The results showed that neuroimaging, brain age gap, and cognition added marginal predictive information to the previously developed clinical model (fraction of new information: neuroimaging 0%–12%, brain age gap 7%, cognition 0%–16%).Conclusions: In summary, adding a second modality to a clinical risk model predicting the onset of a psychotic disorder in the PACE 400 cohort showed little improvement in the fit of the model for long-term prediction of transition to psychosis

Participation and Compliance in a 6-Month Daily Diary Study Among Individuals at Risk for Mental Health Problems

Intensive longitudinal (IL)measurement, which involves prolonged self-monitoring, may have important clinical applications but is also burdening. This raises the question who takes part in and successfully completes IL measurements. This preregistered study investigated which demographic, personality, economic, social, psychological, or physical participant characteristics are associated with participation and compliance in an IL study conducted in young adults at enhanced risk for psychopathology. Dutch young adults enrolled in the clinical cohort of the TRacking Adolescents’ Individual Lives Survey (TRAILS) were invited to a 6-month daily diary study. Participant characteristics came from five earlier TRAILS assessment waves collected from Age 11 onwards. To evaluate participation, we compared diary study participants (N =134) to nonparticipants (N =309) and a sex-matched subsample (N = 1926) of individuals from the general population cohort of TRAILS. To evaluate compliance, we analyzed which characteristics were related to the proportion of completed diary entries. We found that participants (23.6 ± 0.7 years old; 57% male) were largely similar to nonparticipants. In addition, compared to the general population, participants reported more negative scores on nearly all characteristics. Internalizing problems predicted higher compliance. Externalizing problems, antisocial behavior, and daily smoking predicted lower compliance. Thus, in at-risk young adults, who scored lower on nearly every positive characteristic and higher on every negative characteristic relative to the general population, participation in a diary study is unbiased. Small biases in compliance occur, of which researchers should be aware. IL measurement is thus suitable in at-risk populations, which is a requirement for its usefulness in clinical practice