Which individual, social, and urban factors in early childhood predict psychopathology in later childhood, adolescence and young adulthood? A systematic review

Background: A comprehensive picture is lacking of the impact of early childhood (age 0–5) risk factors on the subsequent development of mental health symptoms. Objective: In this systematic review, we investigated which individual, social and urban factors, experienced in early childhood, contribute to the development of lateranxiety and depression, behavioural problems, and internalising and externalising symptoms in youth. Methods: Embase, MEDLINE, Scopus, and PsycInfo were searched on the 5th of January 2022. Three additional databases were retrieved from a mega-systematic review source that focused on the identification of both risk and protective indicators for the onset and maintenance of prospective depressive, anxiety and substance use disorders. A total of 46,450 records were identified and screened in ASReview, an AI-aided systematic review tool. We included studies with experimental, quasi-experimental, prospective and longitudinal study designs, while studies that focused on biological and genetical factors, were excluded. Results: Twenty studies were included. The majority of studies explored individual-level risk factors (N = 16). Eleven studies also explored social risk factors and three studied urban risk factors. We found evidence for early predictors relating to later psychopathology measures (i.e., anxiety and depression, behavioural problems, and internalising and externalising symptoms) in childhood, adolescence and early adulthood. These were: parental psychopathology, exposure to parental physical and verbal violence and social and neighbourhood disadvantage. Conclusions: Very young children are exposed to a complex mix of risk factors, which operate at different levels and influence children at different time points. The urban environment appears to have an effect on psychopathology but it is understudied compared to individual-level factors. Moreover, we need more research exploring the interaction between individual, social and urban factor

Advancing urban mental health research: from complexity science to actionable targets for intervention

Urbanisation and common mental disorders (CMDs; ie, depressive, anxiety, and substance use disorders) are increasing worldwide. In this Review, we discuss how urbanicity and risk of CMDs relate to each other and call for a complexity science approach to advance understanding of this interrelationship. We did an ecological analysis using data on urbanicity and CMD burden in 191 countries. We found a positive, non-linear relationship with a higher CMD prevalence in more urbanised countries, particularly for anxiety disorders. We also did a review of meta-analytic studies on the association between urban factors and CMD risk. We identified factors relating to the ambient, physical, and social urban environment and showed differences per diagnosis of CMDs. We argue that factors in the urban environment are likely to operate as a complex system and interact with each other and with individual city inhabitants (including their psychological and neurobiological characteristics) to shape mental health in an urban context. These interactions operate on various timescales and show feedback loop mechanisms, rendering system behaviour characterised by non-linearity that is hard to predict over time. We present a conceptual framework for future urban mental health research that uses a complexity science approach. We conclude by discussing how complexity science methodology (eg, network analyses, system-dynamic modelling, and agent-based modelling) could enable identification of actionable targets for treatment and policy, aimed at decreasing CMD burdens in an urban context

Implementing precision methods in personalizing psychological therapies: barriers and possible ways forward

This is the final version. Available on open access from Elsevier via the DOI in this recordData availability: No data was used for the research described in the article.Highlights: • Personalizing psychological treatments means to customize treatment for individuals to enhance outcomes. • The application of precision methods to clinical psychology has led to data-driven psychological therapies. • Applying data-informed psychological therapies involves clinical, technical, statistical, and contextual aspects

Selectieve publicatie van onderzoek met antidepressiva: gevolgen voor de richtlijn 'depressie'.

It was recently shown in a publication in The New England Journal of Medicine that the publicly accessible information about the effectiveness of antidepressive medication is incomplete and biased. The authors calculated from published and unpublished data that the effectiveness of antidepressants as published in the literature is overestimated probably by 32%. Based on this publication and other publications questioning the effectiveness of antidepressants, adjustment of the Dutch practice guideline for depression is proposed: only severely depressed patients should be treated with antidepressants. Some measures to prevent publication bias are also proposed. These require the cooperation of all parties participating in registration ofdrugs and publication of drug research

Duration of subsequent episodes and periods of recovery in recurrent major depression

BACKGROUND: Little is known about the duration of subsequent depressive episodes and periods of recovery, and much is based on potentially biased retrospective data. We therefore prospectively assessed whether duration of depressive episodes and recoveries is correlated within subjects and across episodes, and whether duration of subsequent depressive episodes and recoveries increases or decreases over time. METHODS: From a sample of 267 depressed primary care patients enrolled in a RCT, we identified 279 depressive episodes and 455 recovery periods during a 3-year follow-up. We correlated durations of depressive episodes and of recovery within subjects, and compared within subjects the duration of first depressive episodes after index depression with second and third episodes, and similarly with recovery periods. RESULTS: No significant correlations were found between duration of depressive episodes or between recovery periods within subjects (Rs ranging from -0.17 to 0.08; all Ps >0.05). Median duration of first and second depressive episodes was 11 (IQR 6-19) and 9weeks (IQR 5-14). Median duration of first and second recovery periods was 16.5 (IQR 7-31) and 17.5weeks (IQR 9-32). No significant increase or decrease was observed in duration of consecutive depressive episodes, nor in recovery periods across episodes (all Ps >0.05). CONCLUSIONS: In this prospective study, we found no correlation between duration of depressive episodes or between recovery periods within subjects. Moreover, we found no support for an increase or decrease in subsequent duration of depressive episodes or a decrease in recovery periods across episodes. These findings do not support the notion that experiencing multiple depressive episodes results in a growing vulnerability

Effects up to 20-Year follow-up of preventive cognitive therapy in adults remitted from recurrent depression: the DELTA Study

Introduction: Major depressive disorder (MDD) is common, and recurrence rates are high. Preventive Cognitive Therapy (PCT), has been shown to prolong time to recurrence and reduce risk of recurrence(s) over 2-10 years in patients with recurrent depression. Objective: The aim of the study was to examine the effectiveness of PCT over 20 years on time to first recurrence, cumulative proportion of first recurrences, percentage of depression-free time, mean severity of recurrences, and the number of recurrences within a patient. Methods: Adults remitted from recurrent MDD were randomized to PCT or Treatment As Usual (TAU). Clinical outcomes were assessed using the SCID over 20 years. We used Cox regression analyses, Kaplan-Meier analyses, ANOVA, and negative binomial regression and tested for interaction with the number of previous episodes. Results: There was a significant interaction effect for number of previous episodes with treatment condition on time to first recurrence (Wald[1, n = 172] = 8.840, p = 0.003). For participants with more than 3 previous episodes, the mean time to recurrence was 4.8 years for PCT versus 1.6 years for TAU; the cumulative proportion of first recurrences was 87.5% for PCT and 100% for TAU. For participants with more than 3 previous episodes, exploratory analyses suggest that PCT had 53% less recurrences and percentage of depression-free time was significantly higher compared to TAU. There were no significant effects on mean severity. Conclusions: Up to 20 years, for MDD patients with more than 3 previous episodes, those who received PCT had significantly longer time to a first recurrence and lower recurrence risk and may have less recurrences and more depression-free time compared to TAU. This suggests long term protective effects of PCT up to 20-years.</p