Review Article
How do aspects of selfhood relate to depression and anxiety among youth? A meta-analysis
- GeckHong Yeo, Cameron Tan, Dean Ho, Roy F. Baumeister
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- Published online by Cambridge University Press:
- 22 May 2023, pp. 4833-4855
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Adolescents' sense of self has important implications for their mental health. Despite more than two decades of work, scholars have yet to amass evidence across studies to elucidate the role of selfhood in the mental health of adolescents. Underpinned by the conceptual model of selfhood, this meta-analytic review investigated the strength of associations of different facets of selfhood and their associated traits with depression and anxiety, moderating factors that attenuate or exacerbate these associations, and their causal influences. Using mixed-effects modeling, which included 558 effect sizes from 298 studies and 274 370 adolescents from 39 countries, our findings revealed that adolescents' self-esteem/self-concept [r = −0.518, p < 0.0001; (95% CI −0.49 to −0.547)] and self-compassion [r = −0.455, p < 0.0001; (95% CI −0.568 to −0.343)] demonstrating largest effect sizes in their associations with depression. Self-esteem/self-concept, self-compassion, self-awareness, self-efficacy, and self-regulation had similar moderate negative associations with anxiety. Meta-regressions revealed that adolescent age and type of informants (parents v. adolescents) were important moderators. Findings on causal influences indicated bidirectional causations, particularly low self-esteem/self-concept, self-awareness and self-efficacy drive higher depression and vice-versa. In contrast, the different self traits did not demonstrate specific causal direction with anxiety. These results pinpoint self traits that are pivotal in relating to adolescent mental health functioning. We discussed the theoretical implications of our findings in terms of how they advance theory of selfhood for adolescent mental health, and the practical implications of building selfhood as cultivating psychological skills for mental health.
A systematic review of digital interventions for smoking cessation in patients with serious mental illness
- Luis Martinez Agulleiro, Bhagyashree Patil, Joseph Firth, Chelsea Sawyer, Benedikt L. Amann, Francina Fonseca, Marta Torrens, Victor Perez, Francisco Xavier Castellanos, John M. Kane, Daniel Guinart
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- Published online by Cambridge University Press:
- 10 May 2023, pp. 4856-4868
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Tobacco smoking is highly prevalent among patients with serious mental illness (SMI), with known deleterious consequences. Smoking cessation is therefore a prioritary public health challenge in SMI. In recent years, several smoking cessation digital interventions have been developed for non-clinical populations. However, their impact in patients with SMI remains uncertain. We conducted a systematic review to describe and evaluate effectiveness, acceptability, adherence, usability and safety of digital interventions for smoking cessation in patients with SMI. PubMed/MEDLINE, EMBASE, CINAHL, Web of Science, PsychINFO and the Cochrane Tobacco Addiction Group Specialized Register were searched. Studies matching inclusion criteria were included and their information systematically extracted by independent investigators. Thirteen articles were included, which reported data on nine different digital interventions. Intervention theoretical approaches ranged from mobile contingency management to mindfulness. Outcome measures varied widely between studies. The highest abstinence rates were found for mSMART MIND (7-day point-prevalent abstinence: 16–40%). Let's Talk About Quitting Smoking reported greater acceptability ratings, although this was not evaluated with standardized measures. Regarding usability, Learn to Quit showed the highest System Usability Scale scores [mean (s.d.) 85.2 (15.5)]. Adverse events were rare and not systematically reported. Overall, the quality of the studies was fair to good. Digitally delivered health interventions for smoking cessation show promise for improving outcomes for patients with SMI, but lack of availability remains a concern. Larger trials with harmonized assessment measures are needed to generate more definitive evidence and specific recommendations.
Original Article
Associations between psychological therapy outcomes for depression and incidence of dementia
- Amber John, Rob Saunders, Roopal Desai, Georgia Bell, Caroline Fearn, Joshua E. J. Buckman, Barbara Brown, Shirley Nurock, Stewart Michael, Paul Ware, Natalie L. Marchant, Elisa Aguirre, Miguel Rio, Claudia Cooper, Stephen Pilling, Marcus Richards, Josh Stott
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- Published online by Cambridge University Press:
- 15 September 2022, pp. 4869-4879
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Background
Depression is an important, potentially modifiable dementia risk factor. However, it is not known whether effective treatment of depression through psychological therapies is associated with reduced dementia incidence. The aim of this study was to investigate associations between reduction in depressive symptoms following psychological therapy and the subsequent incidence of dementia.
MethodsNational psychological therapy data were linked with hospital records of dementia diagnosis for 119808 people aged 65+. Participants received a course of psychological therapy treatment in Improving Access to Psychological Therapies (IAPT) services between 2012 and 2019. Cox proportional hazards models were run to test associations between improvement in depression following psychological therapy and incidence of dementia diagnosis up to eight years later.
ResultsImprovements in depression following treatment were associated with reduced rates of dementia diagnosis up to 8 years later (HR = 0.88, 95% CI 0.83–0.94), after adjustment for key covariates. Strongest effects were observed for vascular dementia (HR = 0.86, 95% CI 0.77–0.97) compared with Alzheimer's disease (HR = 0.91, 95% CI 0.83–1.00).
ConclusionsReliable improvement in depression across psychological therapy was associated with reduced incidence of future dementia. Results are consistent with at least two possibilities. Firstly, psychological interventions to improve symptoms of depression may have the potential to contribute to dementia risk reduction efforts. Secondly, psychological therapies may be less effective in people with underlying dementia pathology or they may be more likely to drop out of therapy (reverse causality). Tackling the under-representation of older people in psychological therapies and optimizing therapy outcomes is an important goal for future research.
Brain glucose metabolism in schizophrenia: a systematic review and meta-analysis of 18FDG-PET studies in schizophrenia
- Leigh Townsend, Toby Pillinger, Pierluigi Selvaggi, Mattia Veronese, Federico Turkheimer, Oliver Howes
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- Published online by Cambridge University Press:
- 22 June 2022, pp. 4880-4897
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Background
Impaired brain metabolism may be central to schizophrenia pathophysiology, but the magnitude and consistency of metabolic dysfunction is unknown.
MethodsWe searched MEDLINE, PsychINFO and EMBASE between 01/01/1980 and 13/05/2021 for studies comparing regional brain glucose metabolism using 18FDG-PET, in schizophrenia/first-episode psychosis v. controls. Effect sizes (Hedges g) were pooled using a random-effects model. Primary measures were regional absolute and relative CMRGlu in frontal, temporal, parietal and occipital lobes, basal ganglia and thalamus.
ResultsThirty-six studies (1335 subjects) were included. Frontal absolute glucose metabolism (Hedge's g = −0.74 ± 0.54, p = 0.01; I2 = 67%) and metabolism relative to whole brain (g = −0.44 ± 0.34, p = 0.01; I2 = 55%) were lower in schizophrenia v. controls with moderate heterogeneity. Absolute frontal metabolism was lower in chronic (g = −1.18 ± 0.73) v. first-episode patients (g = −0.09 ± 0.88) and controls. Medicated patients showed frontal hypometabolism relative to controls (−1.04 ± 0.26) while metabolism in drug-free patients did not differ significantly from controls. There were no differences in parietal, temporal or occipital lobe or thalamic metabolism in schizophrenia v. controls. Excluding outliers, absolute basal ganglia metabolism was lower in schizophrenia v. controls (−0.25 ± 0.24, p = 0.049; I2 = 5%). Studies identified reporting voxel-based morphometry measures of absolute 18FDG uptake (eight studies) were also analysed using signed differential mapping analysis, finding lower 18FDG uptake in the left anterior cingulate gyrus (Z = −4.143; p = 0.007) and the left inferior orbital frontal gyrus (Z = −4.239; p = 0.02) in schizophrenia.
ConclusionsWe report evidence for hypometabolism with large effect sizes in the frontal cortex in schizophrenia without consistent evidence for alterations in other brain regions. Our findings support the hypothesis of hypofrontality in schizophrenia.
Concurrent changes in nonsuicidal self-injury and suicide thoughts and behaviors
- Jennifer J. Muehlenkamp, Amy M. Brausch, Andrew Littlefield
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- 30 June 2022, pp. 4898-4903
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Background
Nonsuicidal self-injury (NSSI) is a risk factor for suicide, yet how changes in NSSI engagement relate to suicide ideation, planning, and attempts remains largely unknown. The current study aims to fill this gap by examining how changes in NSSI frequency over time related to concurrent changes in suicide thoughts and behaviors.
MethodsData came from a sample of 403 self-injuring young adults who completed assessments of NSSI and suicide thoughts and behaviors at baseline, 6, and 12 months. Bivariate latent growth modeling, adjusting for covariates of lifetime NSSI frequency and treatment status, was used to examine the extent to which changes in NSSI frequency related to suicide ideation and suicide planning.
ResultsThe frequency of NSSI declined across the study period. The slopes of NSSI and suicide ideation were significantly correlated, suggesting individuals with sharper declines in NSSI across time also showed sharper declines in suicide ideation. The intercepts between NSSI and suicide planning were significantly correlated, suggesting those with high NSSI frequency at baseline tended to report higher suicide planning across time. After covariate adjustment, the intercept of suicide planning marginally (p = 0.08) correlated with the slope of NSSI, tentatively suggesting that those who had less reductions in NSSI tended to have higher frequencies of suicide planning.
ConclusionThese results provide new evidence that changes in NSSI are related to subsequent changes in suicide thoughts and behaviors. Monitoring suicide risk among those with NSSI is important and treatment aiming to reduce NSSI may also reduce suicide risk.
Anterior cingulate glutamate levels associate with functional activation and connectivity during sensory integration in schizophrenia: a multimodal 1H-MRS and fMRI study
- Xin-lu Cai, Cheng-cheng Pu, Shu-zhe Zhou, Yi Wang, Jia Huang, Simon S. Y. Lui, Arne Møller, Eric F. C. Cheung, Kristoffer H. Madsen, Rong Xue, Xin Yu, Raymond C. K. Chan
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- Published online by Cambridge University Press:
- 06 July 2022, pp. 4904-4914
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Background
Glutamatergic dysfunction has been implicated in sensory integration deficits in schizophrenia, yet how glutamatergic function contributes to behavioural impairments and neural activities of sensory integration remains unknown.
MethodsFifty schizophrenia patients and 43 healthy controls completed behavioural assessments for sensory integration and underwent magnetic resonance spectroscopy (MRS) for measuring the anterior cingulate cortex (ACC) glutamate levels. The correlation between glutamate levels and behavioural sensory integration deficits was examined in each group. A subsample of 20 pairs of patients and controls further completed an audiovisual sensory integration functional magnetic resonance imaging (fMRI) task. Blood Oxygenation Level Dependent (BOLD) activation and task-dependent functional connectivity (FC) were assessed based on fMRI data. Full factorial analyses were performed to examine the Group-by-Glutamate Level interaction effects on fMRI measurements (group differences in correlation between glutamate levels and fMRI measurements) and the correlation between glutamate levels and fMRI measurements within each group.
ResultsWe found that schizophrenia patients exhibited impaired sensory integration which was positively correlated with ACC glutamate levels. Multimodal analyses showed significantly Group-by-Glutamate Level interaction effects on BOLD activation as well as task-dependent FC in a ‘cortico-subcortical-cortical’ network (including medial frontal gyrus, precuneus, ACC, middle cingulate gyrus, thalamus and caudate) with positive correlations in patients and negative in controls.
ConclusionsOur findings indicate that ACC glutamate influences neural activities in a large-scale network during sensory integration, but the effects have opposite directionality between schizophrenia patients and healthy people. This implicates the crucial role of glutamatergic system in sensory integration processing in schizophrenia.
Prefrontal-cerebellar dynamics during post-success and post-error cognitive controls in major psychiatric disorders
- Hengyi Cao
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- Published online by Cambridge University Press:
- 01 July 2022, pp. 4915-4922
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Background
Difficulty in cognitive adjustment after a conflict or error is a hallmark for many psychiatric disorders, yet the underlying neural correlates are not fully understood. We have previously shown that post-success and post-error cognitive controls are associated with distinct mechanisms particularly related to the prefrontal-cerebellar circuit, raising the possibility that altered dynamic interactions in this circuit may underlie mental illness.
MethodsThis study included 136 patients with three diagnosed disorders [48 schizophrenia (SZ), 49 bipolar disorder (BD), 39 attention deficit hyperactivity disorder (ADHD)] and 89 healthy controls who completed a stop-signal task during fMRI scans. Brain activations for concurrent, post-success, and post-error cognitive controls were analyzed and compared between groups. Dynamic causal modeling was applied to investigate prefrontal-cerebellar effective connectivity patterns during post-success and post-error processing.
ResultsNo significant group differences were observed for brain activations and overall effective connectivity structures during post-success and post-error conditions. However, significant group differences were shown for the modulational effect on top-down connectivity from the prefrontal cortex to the cerebellum during post-error trials (pFWE = 0.02), which was driven by reduced modulations in both SZ and ADHD. During post-success trials, there were significantly decreased modulational effect on bottom-up connectivity from the cerebellum to the prefrontal cortex in ADHD (pFWE = 0.04) and decreased driving input to the cerebellum in SZ (pFWE = 0.04).
ConclusionsThese findings suggest that patients with SZ and ADHD are associated with insufficient neural modulation on the prefrontal-cerebellar circuit during post-success and post-error cognitive processing, a phenomenon that may underlie cognitive deficits in these disorders.
Altered developmental trajectories of verbal learning skills in 22q11.2DS: associations with hippocampal development and psychosis
- Caren Latrèche, Johanna Maeder, Valentina Mancini, Karin Bortolin, Maude Schneider, Stephan Eliez
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- 01 July 2022, pp. 4923-4932
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Background
The cognitive profile in 22q11.2 deletion syndrome (22q11.2DS) is often characterized by a discrepancy between nonverbal vs. verbal reasoning skills, in favor of the latter skills. This dissociation has also been observed in memory, with verbal learning skills described as a relative strength. Yet the development of these skills is still to be investigated. We thus aimed to explore verbal learning longitudinally. Furthermore, we explored verbal learning and its respective associations with hippocampal alterations and psychosis, which remain largely unknown despite their high prevalence in 22q11.2DS.
MethodsIn total, 332 individuals (173 with 22q11.2DS) aged 5–30 years completed a verbal-paired associates task. Mixed-models regression analyses were conducted to explore developmental trajectories with threefold objectives. First, verbal learning and retention trajectories were compared between 22q11.2DS vs. HC. Second, we examined hippocampal volume development in 22q11.2DS participants with lower vs. higher verbal learning performance. Third, we explored verbal learning trajectories in 22q11.2DS participants with vs. without positive psychotic symptoms and with vs. without a psychotic spectrum disorder (PSD).
ResultsOur findings first reveal lower verbal learning performance in 22q11.2DS, with a developmental plateau emerging from adolescence. Second, participants with lower verbal learning scores displayed a reduced left hippocampal tail volume. Third, participants with PSD showed a deterioration of verbal learning performance, independently of verbal reasoning skills.
ConclusionOur study challenges the current view of preserved verbal learning skills in 22q11.2DS and highlights associations with specific hippocampal alterations. We further identify verbal learning as a novel cognitive marker for psychosis in 22q11.2DS.
Familial risk for major depression: differential white matter alterations in healthy and depressed participants
- Alexandra Winter, Katharina Thiel, Susanne Meinert, Hannah Lemke, Lena Waltemate, Fabian Breuer, Regina Culemann, Julia-Katharina Pfarr, Frederike Stein, Katharina Brosch, Tina Meller, Kai Gustav Ringwald, Florian Thomas-Odenthal, Andreas Jansen, Igor Nenadić, Axel Krug, Jonathan Repple, Nils Opel, Katharina Dohm, Elisabeth J. Leehr, Dominik Grotegerd, Harald Kugel, Tim Hahn, Tilo Kircher, Udo Dannlowski
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- Published online by Cambridge University Press:
- 02 September 2022, pp. 4933-4942
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Background
Major depressive disorder (MDD) has been associated with alterations in brain white matter (WM) microstructure. However, diffusion tensor imaging studies in biological relatives have presented contradicting results on WM alterations and their potential as biomarkers for vulnerability or resilience. To shed more light on associations between WM microstructure and resilience to familial risk, analyses including both healthy and depressed relatives of MDD patients are needed.
MethodsIn a 2 (MDD v. healthy controls, HC) × 2 (familial risk yes v. no) design, we investigated fractional anisotropy (FA) via tract-based spatial statistics in a large well-characterised adult sample (N = 528), with additional controls for childhood maltreatment, a potentially confounding proxy for environmental risk.
ResultsAnalyses revealed a significant main effect of diagnosis on FA in the forceps minor and the left superior longitudinal fasciculus (ptfce−FWE = 0.009). Furthermore, a significant interaction of diagnosis with familial risk emerged (ptfce−FWE = 0.036) Post-hoc pairwise comparisons showed significantly higher FA, mainly in the forceps minor and right inferior fronto-occipital fasciculus, in HC with as compared to HC without familial risk (ptfce−FWE < 0.001), whereas familial risk played no role in MDD patients (ptfce−FWE = 0.797). Adding childhood maltreatment as a covariate, the interaction effect remained stable.
ConclusionsWe found widespread increased FA in HC with familial risk for MDD as compared to a HC low-risk sample. The significant effect of risk on FA was present only in HC, but not in the MDD sample. These alterations might reflect compensatory neural mechanisms in healthy adults at risk for MDD potentially associated with resilience.
Increased incident rates of antidepressant use during the COVID-19 pandemic: interrupted time-series analysis of a nationally representative sample
- Sophia Frangou, Yael Travis-Lumer, Arad Kodesh, Yair Goldberg, Faye New, Abraham Reichenberg, Stephen Z. Levine
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- 10 June 2022, pp. 4943-4951
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Background
The COVID-19 pandemic has been associated with increased levels of depression and anxiety with implications for the use of antidepressant medications.
MethodsThe incident rate of antidepressant fills before and during the COVID-19 pandemic were compared using interrupted time-series analysis followed by comprehensive sensitivity analyses on data derived from electronic medical records from a large health management organization providing nationwide services to 14% of the Israeli population. The dataset covered the period from 1 January 2013 to 1 February 2021, with 1 March 2020 onwards defined as the period of the COVID-19 pandemic. Forecasting analysis was implemented to test the effect of the vaccine roll-out and easing of social restrictions on antidepressant use.
ResultsThe sample consisted of 852 233 persons with a total antidepressant incident fill count of 139 535.4 (total cumulative rate per 100 000 = 16 372.91, 95% CI 16 287.19–16 459.01). We calculated the proportion of antidepressant prescription fills for the COVID-19 period, and the counterfactual proportion for the same period, assuming COVID-19 had not occurred. The difference in these proportions was significant [Cohen's h = 10−3 (0.16), 95% CI 10−3 ( − 0.71 to 1.03)]. The pandemic was associated with a significant increase in the slope of the incident rate of antidepressant fills (slope change = 0.01, 95% CI 0.00–0.03; p = 0.04) and a monthly increase of 2% compared to the counterfactual (the estimated rate assuming no pandemic occurred). The increased rate was more pronounced in women, and was not modified by lockdown on/off periods, socioeconomic or SARS-CoV-2 status. The rate of observed antidepressant fills was similar to that forecasted under the assumption of ongoing COVID-19 distress.
ConclusionThese findings underscore the toll of the pandemic on mental health and inform mental health policy and service delivery during and after implementing COVID-19 attenuation strategies.
Derivation and validation of risk prediction for posttraumatic stress symptoms following trauma exposure
- Raphael Kim, Tina Lin, Gehao Pang, Yufeng Liu, Andrew S. Tungate, Phyllis L. Hendry, Michael C. Kurz, David A. Peak, Jeffrey Jones, Niels K. Rathlev, Robert A. Swor, Robert Domeier, Marc-Anthony Velilla, Christopher Lewandowski, Elizabeth Datner, Claire Pearson, David Lee, Patricia M. Mitchell, Samuel A. McLean, Sarah D. Linnstaedt
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- Published online by Cambridge University Press:
- 01 July 2022, pp. 4952-4961
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Background
Posttraumatic stress symptoms (PTSS) are common following traumatic stress exposure (TSE). Identification of individuals with PTSS risk in the early aftermath of TSE is important to enable targeted administration of preventive interventions. In this study, we used baseline survey data from two prospective cohort studies to identify the most influential predictors of substantial PTSS.
MethodsSelf-identifying black and white American women and men (n = 1546) presenting to one of 16 emergency departments (EDs) within 24 h of motor vehicle collision (MVC) TSE were enrolled. Individuals with substantial PTSS (⩾33, Impact of Events Scale – Revised) 6 months after MVC were identified via follow-up questionnaire. Sociodemographic, pain, general health, event, and psychological/cognitive characteristics were collected in the ED and used in prediction modeling. Ensemble learning methods and Monte Carlo cross-validation were used for feature selection and to determine prediction accuracy. External validation was performed on a hold-out sample (30% of total sample).
ResultsTwenty-five percent (n = 394) of individuals reported PTSS 6 months following MVC. Regularized linear regression was the top performing learning method. The top 30 factors together showed good reliability in predicting PTSS in the external sample (Area under the curve = 0.79 ± 0.002). Top predictors included acute pain severity, recovery expectations, socioeconomic status, self-reported race, and psychological symptoms.
ConclusionsThese analyses add to a growing literature indicating that influential predictors of PTSS can be identified and risk for future PTSS estimated from characteristics easily available/assessable at the time of ED presentation following TSE.
Deconstructing the heterogeneity of alcohol use disorder: lifetime comorbid non-alcohol substance use disorder as a distinct behavioral phenotype?
- Richard F. Farmer, John R. Seeley, Derek B. Kosty, Jeff M. Gau
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- 04 July 2022, pp. 4962-4976
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Background
Alcohol use disorder (AUD) is an etiologically and clinically heterogeneous condition. Accumulating evidence suggests that persons with lifetime histories of comorbid AUD and non-alcohol substance use disorder (DRUG) constitute an important subgroup of AUD. This study evaluated the distinctiveness of the comorbid AUD/DRUG behavioral phenotype in a community sample with respect to risk factors, AUD course features, and outcome variables assessed at age 30. Contrast groups included persons with histories of AUD only, DRUG only, and neither AUD nor DRUG.
MethodsThis research utilized a prospective study design with an age-based cohort (n = 732). Participants completed four comprehensive diagnostic evaluations during the high-risk periods of adolescence, emerging adulthood, and young adulthood.
ResultsThe comorbid AUD/DRUG group was distinguished from the AUD only group by risk factors, AUD course features, and outcomes. Group differences in outcomes were also explained by overall substance use disorder (SUD) severity. Persons with AUD/DRUG comorbidity were indistinguishable from those with DRUG only histories with respect to risk factors and outcomes but demonstrated greater overall SUD severity. Persons with AUD only were indistinguishable from those with neither AUD nor DRUG histories in risk factor endorsements and were mostly similar in outcomes.
ConclusionsFindings collectively suggest that young adults with histories of AUD only and those with comorbid AUD/DRUG are drawn from dissimilar populations. Similarities between the AUD only group with those absent AUD or DRUG histories are likely related to the former group's developmentally limited AUD course accompanied by relatively few or short-lived alcohol-related problems.
Suicide risk among undergraduate students in Brazil in the periods before and during the COVID-19 pandemic: results of the SABES-Grad national survey
- Lauro Miranda Demenech, Lucas Neiva-Silva, Sandra Mara Silva Brignol, Samira Reschetti Marcon, Sônia Maria Lemos, Rafael Miranda Tassitano, Samuel C. Dumith
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- 14 June 2022, pp. 4977-4989
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Background
Undergraduate students present high rates of psychological distress, including suicide risk. Due to the coronavirus disease 2019 (COVID-19) pandemic, this scenario may have been aggravated. Thus, the objective of the current study was to evaluate changes in the suicide risk rate from the period before to during the COVID-19 pandemic, as well as the factors associated with this outcome among Brazilian undergraduate students.
MethodsThis was a nationwide survey carried out in Brazil with a cross-sectional design, including two data collection periods: a single-center in-person collection in 2019 and another multicenter online collection in 2020/2021. Data were collected using self-administered instruments. The outcome was a high risk of suicide, measured through the Mini International Neuropsychiatric Interview. Analyses were carried out on data from two periods, i.e. before and during the pandemic (bivariate analysis and interaction tests), and a model of associated factors (multivariate analysis using Poisson regression) was developed including all participating universities distributed in the five regions of Brazil.
ResultsIn total, 6716 Brazilian undergraduate students participated (996 in 2019 and 5720 in 2020/2021). The prevalence of a high suicide risk rose from 11.3% to 17.0%, especially among women and poorer individuals. The prevalence of a high risk of suicide among Brazilian undergraduates was 19.6% and was associated with several socioeconomic, academic, pandemic, and mental health factors.
ConclusionsThe prevalence of a high suicide risk increased from prepandemic to during the pandemic, appearing to be largely influenced by social determinants, in conjunction with the implications of the COVID-19 pandemic.
Development and initial validation of a multivariable predictive Early Adversity Scale for Schizophrenia (EAS-Sz) using register data to quantify environmental risk for adult schizophrenia diagnosis after childhood exposure to adversity
- Patsy Di Prinzio, Jonas Björk, Giulietta Valuri, Taryn Ambrosi, Maxine Croft, Vera A. Morgan
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- Published online by Cambridge University Press:
- 12 July 2022, pp. 4990-5000
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Background
Additional to a child's genetic inheritance, environmental exposures are associated with schizophrenia. Many are broadly described as childhood adversity; modelling the combined impact of these is complex. We aimed to develop and validate a scale on childhood adversity, independent of genetic and other environmental liabilities, for use in schizophrenia risk analysis models, using data from cross-linked electronic health and social services registers.
MethodA cohort of N = 428 970 Western Australian children born 1980–2001 was partitioned into three samples: scale development sample (N = 171 588), and two scale validation samples (each N = 128 691). Measures of adversity were defined before a child's 10th birthday from five domains: discontinuity in parenting, family functioning, family structure, area-level socioeconomic/demographic environment and family-level sociodemographic status. Using Cox proportional hazards modelling of follow-up time from 10th birthday to schizophrenia diagnosis or censorship, weighted combinations of measures were firstly developed into scales for each domain, then combined into a final global scale. Discrimination and calibration performance were validated using Harrell's C and graphical assessment respectively.
ResultsA weighted combination of 42 measures of childhood adversity was derived from the development sample. Independent application to identical measures in validation samples produced Harrell's Concordance statistics of 0.656 and 0.624. Average predicted time to diagnosis curves corresponded with 95% CI limits of observed Kaplan–Meier curves in five prognostic categories.
ConclusionsOur Early Adversity Scale for Schizophrenia (EAS-Sz), the first using routinely collected register data, predicts schizophrenia diagnosis above chance, and has potential to help untangle contributions of genetic and environmental liability to schizophrenia risk.
Development of a model to predict antidepressant treatment response for depression among Veterans
- Victor Puac-Polanco, Hannah N. Ziobrowski, Eric L. Ross, Howard Liu, Brett Turner, Ruifeng Cui, Lucinda B. Leung, Robert M. Bossarte, Corey Bryant, Jutta Joormann, Andrew A. Nierenberg, David W. Oslin, Wilfred R. Pigeon, Edward P. Post, Nur Hani Zainal, Alan M. Zaslavsky, Jose R. Zubizarreta, Alex Luedtke, Chris J. Kennedy, Andrea Cipriani, Toshiaki A. Furukawa, Ronald C. Kessler
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- Published online by Cambridge University Press:
- 15 July 2022, pp. 5001-5011
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Background
Only a limited number of patients with major depressive disorder (MDD) respond to a first course of antidepressant medication (ADM). We investigated the feasibility of creating a baseline model to determine which of these would be among patients beginning ADM treatment in the US Veterans Health Administration (VHA).
MethodsA 2018–2020 national sample of n = 660 VHA patients receiving ADM treatment for MDD completed an extensive baseline self-report assessment near the beginning of treatment and a 3-month self-report follow-up assessment. Using baseline self-report data along with administrative and geospatial data, an ensemble machine learning method was used to develop a model for 3-month treatment response defined by the Quick Inventory of Depression Symptomatology Self-Report and a modified Sheehan Disability Scale. The model was developed in a 70% training sample and tested in the remaining 30% test sample.
ResultsIn total, 35.7% of patients responded to treatment. The prediction model had an area under the ROC curve (s.e.) of 0.66 (0.04) in the test sample. A strong gradient in probability (s.e.) of treatment response was found across three subsamples of the test sample using training sample thresholds for high [45.6% (5.5)], intermediate [34.5% (7.6)], and low [11.1% (4.9)] probabilities of response. Baseline symptom severity, comorbidity, treatment characteristics (expectations, history, and aspects of current treatment), and protective/resilience factors were the most important predictors.
ConclusionsAlthough these results are promising, parallel models to predict response to alternative treatments based on data collected before initiating treatment would be needed for such models to help guide treatment selection.
Twenty-year associations between disordered eating behaviors and sociodemographic features in a multiple cross-sectional sample
- Danilo Dias Santana, Deborah Mitchison, Haider Mannan, Scott Griffiths, Jose Carlos Appolinario, Gloria Valeria da Veiga, Stephen Touyz, Phillipa Hay
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- Published online by Cambridge University Press:
- 14 July 2022, pp. 5012-5021
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Background
Disordered eating behaviors (DEB) impact on health and wellbeing worldwide. This study aimed to examine sociodemographic trends in the prevalence of DEB over 20 years in the Australian general population.
MethodsData were derived from five sequential cross-sectional surveys (1998, 2008, 2009, 2016 and 2017) with population-representative samples of adults and adolescents residing in South Australia (N = 15 075). DEBs investigated were objective binge eating (OBE), strict dieting/fasting, and purging. Sociodemographic data included gender, age, educational level, work and marital status, and residence.
ResultsOBE prevalence increased significantly. Strict dieting/fasting also increased from 1998 to 2008/9 but remained stable between 2008/9 and 2016/7. Purging prevalence did not change significantly over time. All survey years were associated with a significantly higher odds of OBE, and strict diet/fasting compared to 1998. Lower age, a higher Accessibility Remoteness Index of Australia (ARIA) score, higher body mass index (BMI), higher educational attainment, and not being in a married or de facto relationship were independently associated with greater adjusted odds for endorsing OBE. Younger age, female gender, and higher BMI were also independently associated with greater adjusted odds for endorsing strict dieting/fasting.
ConclusionsThe increased prevalence of DEBs in various strata of Australian society has both public health and clinical implications. The results refute the stereotype that eating disorders (EDs) predominantly affect young women. They build impetus for future research on EDs among men and older individuals, with a view to developing tailored public health and clinical interventions for these populations.
More than doubling the clinical benefit of each hour of therapist time: a randomised controlled trial of internet cognitive therapy for social anxiety disorder
- David M. Clark, Jennifer Wild, Emma Warnock-Parkes, Richard Stott, Nick Grey, Graham Thew, Anke Ehlers
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- Published online by Cambridge University Press:
- 15 July 2022, pp. 5022-5032
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Background
Cognitive therapy for social anxiety disorder (CT-SAD) is recommended by NICE (2013) as a first-line intervention. Take up in routine services is limited by the need for up to 14 ninety-min face-to-face sessions, some of which are out of the office. An internet-based version of the treatment (iCT-SAD) with remote therapist support may achieve similar outcomes with less therapist time.
Methods102 patients with social anxiety disorder were randomised to iCT-SAD, CT-SAD, or waitlist (WAIT) control, each for 14 weeks. WAIT patients were randomised to the treatments after wait. Assessments were at pre-treatment/wait, midtreatment/wait, posttreatment/wait, and follow-ups 3 & 12 months after treatment. The pre-registered (ISRCTN 95 458 747) primary outcome was the social anxiety disorder composite, which combines 6 independent assessor and patient self-report scales of social anxiety. Secondary outcomes included disability, general anxiety, depression and a behaviour test.
ResultsCT-SAD and iCT-SAD were both superior to WAIT on all measures. iCT-SAD did not differ from CT-SAD on the primary outcome at post-treatment or follow-up. Total therapist time in iCT-SAD was 6.45 h. CT-SAD required 15.8 h for the same reduction in social anxiety. Mediation analysis indicated that change in process variables specified in cognitive models accounted for 60% of the improvements associated with either treatment. Unlike the primary outcome, there was a significant but small difference in favour of CT-SAD on the behaviour test.
ConclusionsWhen compared to conventional face-to-face therapy, iCT-SAD can more than double the amount of symptom change associated with each therapist hour.
Discontinuation of antipsychotics in individuals with first-episode schizophrenia and its association to functional outcomes, hospitalization and death: a register-based nationwide follow-up study
- Anne Emilie Stürup, Merete Nordentoft, Espen Jimenez-Solem, Merete Osler, Josefine Winther Davy, Thomas Nordahl Christensen, Helene Speyer, Nikolai Albert, Carsten Hjorthøj
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- Published online by Cambridge University Press:
- 12 July 2022, pp. 5033-5041
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Background
Discontinuation of antipsychotic medication may be linked to high risk of relapse, hospitalization and mortality. This study investigated the use and discontinuation of antipsychotics in individuals with first-episode schizophrenia in relation to cohabitation, living with children, employment, hospital admission and death.
MethodsDanish registers were used to establish a nationwide cohort of individuals ⩾18 years with schizophrenia included at the time of diagnosis in1995–2013. Exposure was antipsychotic medication calculated using defined daily dose and redeemed prescriptions year 2–5. Outcomes year 5–6 were analysed using binary logistic, negative binomial and Cox proportional hazard regression.
ResultsAmong 21 351, 9.3% took antipsychotics continuously year 2–5, 38.6% took no antipsychotics, 3.4% sustained discontinuation and 48.7% discontinued and resumed treatment. At follow-up year 6, living with children or employment was significantly higher in individuals with sustained discontinuation (OR 1.98, 95% CI 1.53–2.56 and OR 2.60, 95% CI 1.91–3.54), non-sustained discontinuation (OR 1.25, 95% CI 1.05–1.48 and 2.04, 95% CI 1.64–2.53) and no antipsychotics (OR 2.00, 95% CI 1.69–2.38 and 5.64, 95% CI 4.56–6.97) compared to continuous users. Individuals with non-sustained discontinuation had more psychiatric hospital admissions (IRR 1.27, 95% CI 1.10–1.47) and longer admissions (IRR 1.68, 95% CI 1.30–2.16) year 5–6 compared to continuous users. Mortality during year 5–6 did not differ between groups.
ConclusionMost individuals with first-episode schizophrenia discontinued or took no antipsychotics the first years after diagnosis and had better functional outcomes. Non-sustained discontinuers had more, and longer admissions compared to continuous users. However, associations found could be either cause or effect.
Evaluating the effectiveness of a universal eHealth school-based prevention programme for depression and anxiety, and the moderating role of friendship network characteristics
- Jack L. Andrews, Louise Birrell, Cath Chapman, Maree Teesson, Nicola Newton, Steve Allsop, Nyanda McBride, Leanne Hides, Gavin Andrews, Nick Olsen, Louise Mewton, Tim Slade
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- Published online by Cambridge University Press:
- 15 July 2022, pp. 5042-5051
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Background
Lifetime trajectories of mental ill-health are often established during adolescence. Effective interventions to prevent the emergence of mental health problems are needed. In the current study we assessed the efficacy of the cognitive behavioural therapy (CBT)-informed Climate Schools universal eHealth preventive mental health programme, relative to a control. We also explored whether the intervention had differential effects on students with varying degrees of social connectedness.
MethodWe evaluated the efficacy of the Climate Schools mental health programme (19 participating schools; average age at baseline was 13.6) v. a control group (18 participating schools; average age at baseline was 13.5) which formed part of a large cluster randomised controlled trial in Australian schools. Measures of internalising problems, depression and anxiety were collected at baseline, immediately following the intervention and at 6-, 12- and 18-months post intervention. Immediately following the intervention, 2539 students provided data on at least one outcome of interest (2065 students at 18 months post intervention).
ResultsCompared to controls, we found evidence that the standalone mental health intervention improved knowledge of mental health, however there was no evidence that the intervention improved other mental health outcomes, relative to a control. Student's social connectedness did not influence intervention outcomes.
ConclusionThese results are consistent with recent findings that universal school-based, CBT-informed, preventive interventions for mental health have limited efficacy in improving symptoms of anxiety and depression when delivered alone. We highlight the potential for combined intervention approaches, and more targeted interventions, to better improve mental health outcomes.
Genetic liability to posttraumatic stress disorder and its association with postpartum depression
- Kathrine Bang Madsen, Xiaoqin Liu, Clara Albiñana, Bjarni Jóhann Vilhjálmsson, Esben Agerbo, Preben Bo Mortensen, David Michael Hougaard, Merete Nordentoft, Thomas Werge, Ole Mors, Anders D. Børglum, Trine Munk-Olsen
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- Published online by Cambridge University Press:
- 11 July 2022, pp. 5052-5059
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Background
Childbirth may be a traumatic experience and vulnerability to posttraumatic stress disorder (PTSD) may increase the risk of postpartum depression (PPD). We investigated whether genetic vulnerability to PTSD as measured by polygenic score (PGS) increases the risk of PPD and whether a predisposition to PTSD in PPD cases exceeds that of major depressive disorder (MDD) outside the postpartum period.
MethodsThis case-control study included participants from the iPSYCH2015, a case-cohort of all singletons born in Denmark between 1981 and 2008. Restricting to women born between 1981 and 1997 and excluding women with a first diagnosis other than depression (N = 22 613), 333 were identified with PPD. For each PPD case, 999 representing the background population and 993 with MDD outside the postpartum were matched by calendar year at birth, cohort selection, and age. PTSD PGS was calculated from summary statistics from the Psychiatric Genomics Consortium with LDpred2-auto. Odds ratios (ORs) were estimated using conditional logistic regression adjusted for parental psychiatric history and country of origin, PGS for MDD and age at first birth, and the first 10 principal components.
ResultsThe PTSD PGS was significantly associated with PPD (OR 1.42, 95% CI 1.20–1.68 per standard deviation increase in PTSD PGS) compared to healthy female controls. Genetic PTSD vulnerability in PPD cases did not exceed that of matched female depression cases outside the postpartum period (OR 1.10, 95% CI 0.94–1.30 per standard deviation increase).
ConclusionsGenetic vulnerability to PTSD increased the risk of PPD but did not differ between PPD cases and women with depression at other times.