We partner with a secure submission system to handle manuscript submissions.
Please note:
You will need an account for the submission system, which is separate to your Cambridge Core account. For login and submission support, please visit the
submission and support pages.
Please review this journal's author instructions, particularly the
preparing your materials
page, before submitting your manuscript.
Click Proceed to submission system to continue to our partner's website.
To save this undefined to your undefined account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you used this feature, you will be asked to authorise Cambridge Core to connect with your undefined account.
Find out more about saving content to .
To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Postpartum depression (PPD) is a common disorder after childbirth. The strongest known predictors are a history of depression and/or a history of PPD. However, for a significant proportion of women, PPD constitutes their first depressive episode. This study aimed to gain further insight into the risk factors for PPD in first time mothers without previous psychiatric contact.
Methods
Women delivering in Uppsala University Hospital, Sweden, from May 2006 to June 2007, were asked to participate and filled out questionnaires five days and six weeks postpartum, containing inter alia the Edinburgh Postnatal Depression Scale (EPDS). Univariate logistic regression models, as well as a path analysis, were performed to unveil the complex interplay between the study variables.
Results
Of the 653 participating primiparas, 10.3% and 6.4% reported depressive symptoms (EPDS ≥ 12 points) five days and six weeks postpartum, respectively. In the path analysis, a positive association between anxiety proneness and depressive symptoms at five days and six weeks postpartum was identified. For depressive symptoms six weeks after delivery, additional risk factors were detected, namely depressive symptoms five days postpartum and subjective experience of problems with the baby. Caesarean section and assisted vaginal delivery were associated with fewer depressive symptoms at 6 six weeks postpartum.
Conclusions
Identification of anxiety proneness, delivery mode and problems with the baby as risk factors for self-reported depressive symptoms postpartum in this group of primiparas can be important in helping health care professionals identify women at increased risk of affective disorders in the perinatal period, and provide a base for early intervention.
Antipsychotic-induced weight gain (AIWG) leads to metabolic consequences and comorbidity, social stigmatization and nonadherence in patients with schizophrenia. Neuropeptide Y (NPY) has an important role in appetite and body weight regulation. Associations between AIWG and serum NPY levels, and genetic polymorphisms (SNPs) associated with its serum levels have been little studied in these patients.
Subjects and methods
Associations between serum NPY concentration and other metabolic and inflammatory markers, and 215 SNPs in 21 genes (NPY gene, NPY receptor genes and genes encoding arcuate nucleus NPY neuron receptors) were studied in 180 patients with schizophrenia on clozapine treatment.
Results
The serum levels of NPY correlated with levels of resistin (r = 0.31, P < 0.001) and age (r = 0.22, P = 0.003). In the general linear univariate model the best-fitting model with explanatory factors age, serum resistin level, serum insulin level, BMI and gender explained 18.0% (P < 0.001) of the variance of serum NPY. Genetic risk score (GRSNPY) analysis found twelve significant (P < 0.05) serum NPY concentration related SNPs among α7 nicotinic acetylcholine receptor gene CHRNA7, insulin receptor gene INSR, leptin receptor gene LEPR, glucocorticoid receptor (GR) gene NR3C1, and NPY gene. However, after permutation test of gene score the predictive value of GRSNPY remained non-significant (P = 0.078).
Conclusions
Serum NPY level does not seem to be a feasible biomarker of AIWG. Serum NPY level alterations are not significantly associated with the candidate gene polymorphisms studied.
Adjustment disorder (AD) is one of the most debated diagnoses in psychiatry since it has been recognised as vaguely defined and causing a lot of difficulties in clinical practice. We aimed to analyse the structure of adjustment disorder based on International Classification of Diseases (ICD)–11 proposals by the WHO ICD-11 Working Group on the Classification of Disorders Specifically Associated with Stress in the general population in Lithuania. Three structural models of adjustment disorder were tested using Confirmatory Factor Analysis (CFA).
Method
Data from the sample of 649 participants who experienced at least one significant stressor during the last two years was included in CFA analysis. Stressor exposure and AD symptoms were measured with the Lithuanian version of the Adjustment Disorder New Module (ADNM-20).
Results
The CFA analysis revealed that the two core factor model of the AD with two core symptoms: preoccupation and failure to adapt fitted data the best in contrast to other two models.
Conclusion
The study supports the ICD-11 proposal for the structure of adjustment disorder with two core symptoms: preoccupation and failure to adapt. Further studies are needed to analyse the structure of AD in other populations.
Cognitive Remediation represents the best available tool to treat cognitive deficits in schizophrenia and evidence suggests an effect also on global functioning. However, the relationship between cognitive and functional improvement is not yet fully elucidated: do cognitive changes need to be of a definite size and/or encompass a certain number of domains in order to impact on daily functioning? This study aims to explore the role of cognitive improvement, evaluated both quantitatively and qualitatively through the use of Italian equivalent scores, on the daily functioning of patients. As secondary goal, the influence of demographic, clinical and neuropsychological variables on functional outcome was also systematically investigated.
Methods
One hundred subjects with a diagnosis of schizophrenia underwent 36 sessions of Cognitive Remediation and were evaluated at baseline and after the training with the Brief Assessment of Cognition in Schizophrenia and the Quality of Life Scale.
Results
A total of 70% of patients improved in at least one cognitive domain and over 50% obtained a normalized score. Among the clinical and neurocognitive factors examined, the only significant predictor of quality of life’s improvement was the proportion of cognitive functions that reached an equivalent score of “normal”.
Conclusions
This study suggests that improvements in daily functioning depend on the achievement of a cognitive profile as much as possible “normal”, harmonious and balanced, supporting the idea that a qualitative leap in cognition is needed in order to gain an advantage in real life activities.
Bipolar Disorder (BD) is a severe psychiatric condition characterized by grey matter (GM) volumes reduction. Neurotrophic factors have been suggested to play a role in the neuroprogressive changes during the illness course. In particular peripheral brain-derived neurotrophic factor (BDNF) has been proposed as a potential biomarker related to disease activity and neuroprogression in BD. The aim of our study was to investigate if serum levels of BDNF are associated with GM volumes in BD patients and healthy controls (HC).
Methods
We studied 36 inpatients affected by a major depressive episode in course of BD type I and 17 HC. Analysis of variance was performed to investigate the effect of diagnosis on GM volumes in the whole brain. Threshold for significance was P < 0.05, Family Wise Error (FWE) corrected for multiple comparisons. All the analyses were controlled for the effect of nuisance covariates known to influence GM volumes, such as age, gender and lithium treatment.
Results
BD patients showed significantly higher serum BDNF levels compared with HC. Reduced GM volumes in BD patients compared to HC were observed in several brain areas, encompassing the caudate head, superior temporal gyrus, insula, fusiform gyrus, parahippocampal gyrus, and anterior cingulate cortex. The interaction analysis between BDNF levels and diagnosis showed a significant effect in the middle frontal gyrus. HC reported higher BDNF levels associated with higher GM volumes, whereas no association between BDNF and GM volumes was observed in BD.
Discussion
Our study seems to suggest that although the production of BDNF is increased in BD possibly to prevent and repair neural damage, its effects could be hampered by underlying neuroinflammatory processes interfering with the neurodevelopmental role of BDNF.
Preliminary studies have shown that the addition of the partial NMDA-agonist d-cycloserine (DCS) might be promising in enhancing the results of exposure therapy in obsessive-compulsive disorder (OCD). We examined the effect of DCS addition to exposure therapy in a somewhat larger sample of OCD patients with special attention to subgroups, because of the heterogeneity of OCD.
Methods
A randomized, double-blind, placebo controlled trial was conducted in 39 patients with OCD. Patients received 6 guided exposure sessions, once a week. One hour before each session 125 mg DCS or placebo was administered.
Results
Scores on the Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) declined more in the DCS group than in the placebo group, but the difference did not reach statistical significance (P = 0.076, partial η2 = 0.13). Response percentages also did not differ between the DCS and the placebo group (37% and 15% respectively). In the ‘cleaning/contamination’ subgroup a significant effect was found in favour of DCS (P = 0.033, partial η2 = 0.297).
Conclusions
The results of this study did not support the application of DCS to exposure therapy in OCD. Some specific aspects need further investigation: efficacy of DCS in a larger ‘cleaning/contamination’ (sub-)group, DCS addition only after successful sessions, interaction with antidepressants.
Abuse of vulnerable adults in institutional settings has been reported from various countries; however, there has been no systematic review of the characteristics of the victims and their abusers. Our aim was to identify and synthesise the literature on victims, perpetrators and institutions where abuse occured in order to inform interventions to prevent such abuse.
Methods
Searches of MEDLINE (OVID), CINHAL (EBSCO), EMBASE (OVID) and PsychINFO (OVID) databases identified 4279 references. After screening of titles and abstracts, 123 citations merited closer inspection. After applying inclusion and exclusion criteria, 22 articles were included in the review.
Results
Our review suggested that the evidence available on risk factors is not extensive but some conclusions can be drawn. Clients, staff, institutional and environmental factors appear to play a role in increasing the risk of abuse.
Conclusions
Vulnerable clients need closer monitoring. Clients and staff may lack the awareness and knowledge to identify and report abuse. Institutions should take proactive steps to monitor clients, train staff and devise systems that allow for the identification and prevention of incidents of abuse.There is a need for further research into the associations between the individual client, staff, institutional characteristics and abuse.
Evidence about the clinical course of bipolar disorder is inconsistent and limited. The aim of this study was to assess changes in morbidity in patients with bipolar disorder along a mean follow-up period of 80 months.
Methods
Based on a mirror-image design, the follow-up period of each patient was divided into two halves. Then, three measures of morbidity — number of affective episodes, time spent ill, and cycle length — were recorded and compared between each half of the follow-up period.
Results
On average, there was a trend to a smaller amount of time spent with subclinical symptomatology during the second half of the follow-up period. In contrast, there were no differences in terms of number of episodes, time spent with clinical symptoms, or cycle length between the first and second half of the follow-up period. A subgroup analysis identified 21.9% of patients with consistent data of a worsening during follow-up.
Conclusions
The results suggest that, on average, there is stability or slight improvement of clinical morbidity over the course of BD. Then, worsening of the clinical course may be a feature of a subgroup of patients rather than an inherent characteristic of the disorder. These subgroups or patient profiles could represent an opportunity for further studies to assess clinical, pathophysiologic, and therapeutic features associated with them.
The interest in studying gene–gene interactions is increasing for psychiatric diseases such as schizophrenia-spectrum disorders (SSD), where multiple genes are involved. Dysbindin-1 (DTNBP1) and Neuritin-1 (NRN1) genes have been previously associated with SSD and both are involved in synaptic plasticity. We aimed to study whether these genes show an epistatic effect on the risk for SSD.
Methods
The sample comprised 388 SSD patients and 397 healthy subjects. Interaction was tested between: (i) three DTNBP1 SNPs (rs2619537, rs2743864, rs1047631) related to changes in gene expression; and (ii) an haplotype in NRN1 previously associated with the risk for SSD (rs645649-rs582262: HAP-risk C-C).
Results
An interaction between DTNBP1 rs2743864 and NRN1 HAP-risk was detected by using the model based multifactor dimensionality reduction (MB-MDR) approach (P = 0.0049, after permutation procedure), meaning that the risk for SSD is significantly higher in those subjects carrying both the A allele of rs2743864 and the HAP-risk C-C. This interaction was confirmed by using a logistic regression model (P = 0.033, OR (95%CI) = 2.699 (1.08–6.71), R2 = 0.162).
Discussion
Our results suggest that DTNBP1 and NRN1 genes show a joint effect on the risk for SSD. Although the precise mechanism underlying this effect is unclear, the fact that these genes have been involved in synaptic maturation, connectivity and glutamate signalling suggests that our findings could be of value as a link to the schizophrenia aetiology.
Subjects at ultra high-risk (UHR) for psychosis have an enhanced vulnerability to develop the disorder but the risk factors accounting for this accrued risk are undetermined.
Method
Systematic review of associations between genetic or environmental risk factors for psychosis that are widely established in the literature and UHR state, based on comparisons to controls.
Results
Forty-four studies encompassing 170 independent datasets and 54 risk factors were included. There were no studies on association between genetic or epigenetic risk factors and the UHR state that met the inclusion criteria. UHR subjects were more likely to show obstetric complications, tobacco use, physical inactivity, childhood trauma/emotional abuse/physical neglect, high perceived stress, childhood and adolescent low functioning, affective comorbidities, male gender, single status, unemployment and low educational level as compared to controls.
Conclusions
The increased vulnerability of UHR subjects can be related to environmental risk factors like childhood trauma, adverse life events and affective dysfunction. The role of genetic and epigenetic risk factors awaits clarification.
In unipolar depressed patients participating in trials on antidepressants, we investigated if illness characteristics at baseline could predict conversion to bipolar disorder.
Method
A long-term register-based follow-up study of 290 unipolar depressed patients with a mean age of 50.8 years (SD = 11.9) participating in three randomized trials on antidepressants conducted in the period 1985–1994. The independent effects of explanatory variables were examined by applying Cox regression analyses.
Results
The overall risk of conversion was 20.7%, with a mean follow-up time of 15.2 years per patient. The risk of conversion was associated with an increasing number of previous depressive episodes at baseline, [HR 1.18, 95% CI (1.10–1.26)]. No association with gender, age, age at first depressive episode, duration of baseline episode, subtype of depression or any of the investigated HAM-D subscales included was found.
Limitations
The patients were followed-up through the Danish Psychiatric Central Research Register, which resulted in inherent limitations such as possible misclassification of outcome.
Conclusion
In a sample of middle-aged hospitalized unipolar depressed patients participating in trials on antidepressants, the risk of conversion was associated with the number of previous depressive episodes. Therefore, this study emphasizes that unipolar depressed patients experiencing a relatively high number of recurrences should be followed more closely, or at least be informed about the possible increased risk of conversion.
Latent toxoplasmosis, the life-long presence of dormant stages of Toxoplasma in immunoprivileged organs and of anamnestic IgG antibodies in blood, affects about 30% of humans. Infected subjects have an increased incidence of various disorders, including schizophrenia. Several studies, as well as the character of toxoplasmosis-associated disturbance of neurotransmitters, suggest that toxoplasmosis could also play an etiological role in Obsessive-Compulsive Disorder (OCD).
Methods
The aim of the present cross-sectional study performed on a population of 7471 volunteers was to confirm the association between toxoplasmosis and OCD, and toxoplasmosis and psychological symptoms of OCD estimated by the standard Obsessive-Compulsive Inventory-Revised (OCI-R).
Results
Incidence of OCD was 2.18% (n = 39) in men and 2.28% (n = 83) in women. Subjects with toxoplasmosis had about a 2.5 times higher odds of OCD and about a 2.7 times higher odds of learning disabilities. The incidence of 18 other neuropsychiatric disorders did not differ between Toxoplasma-infected and Toxoplasma-free subjects. The infected subjects, even the OCD-free subjects, scored higher on the OCI-R.
Limitations: Examined subjects provided the information about their toxoplasmosis and OCD statuses themselves, which could result in underrating the strength of observed associations.
Conclusions
The results confirmed earlier reports of the association between toxoplasmosis and OCD. They also support recent claims that latent toxoplasmosis is in fact a serious disease with many impacts on quality of life of patients.
Exposure to trauma was found to increase later violent behaviours in youth but the underlying psychopathological mechanisms are unclear. This study aimed to test whether posttraumatic stress disorder (PTSD) is related to violent behaviours and whether PTSD symptoms mediate the relationship between the number of trauma experiences and violent behaviours in adolescents.
Method
The present study is based on a nationally representative sample of 9th grade students with 3434 boys (mean age = 15.5 years) and 3194 girls (mean age = 15.5 years) in Switzerland. Lifetime exposure to traumatic events and current PTSD were assessed by the use of the University of California at Los Angeles Posttraumatic Stress Disorder Reaction Index (UCLA-RI). Logistic regression was used to assess associations between PTSD and violent behaviours, and structural equation modelling (SEM) was used to examine the meditation effects of PTSD.
Results
PTSD (boys: OR = 7.9; girls: OR = 5.5) was strongly related to violent behaviours. PTSD symptoms partially mediated the association between trauma exposure and violent behaviours in boys but not in girls. PTSD symptoms of dysphoric arousal were positively related to violent behaviours in both genders. Anxious arousal symptoms were negatively related to violent behaviours in boys but not in girls.
Conclusions
In addition to trauma, posttraumatic stress is related to violent outcomes. However, specific symptom clusters of PTSD seem differently related to violent behaviours and they do not fully explain a trauma-violence link. Specific interventions to improve emotion regulation skills may be useful particularly in boys with elevated PTSD dysphoric arousal in order to break up the cycle of violence.
Accuracy of risk algorithms for psychosis prediction in “at risk mental state” (ARMS) samples may differ according to the recruitment setting. Standardized criteria used to detect ARMS individuals may lack specificity if the recruitment setting is a secondary mental health service. The authors tested a modified strategy to predict psychosis conversion in this setting by using a systematic selection of trait-markers of the psychosis prodrome in a sample with a heterogeneous ARMS status.
Methods
138 non-psychotic outpatients (aged 17–31) were consecutively recruited in secondary mental health services and followed-up for up to 3 years (mean follow-up time, 2.2 years; SD = 0.9). Baseline ARMS status, clinical, demographic, cognitive, and neurological soft signs measures were collected. Cox regression was used to derive a risk index.
Results
48% individuals met ARMS criteria (ARMS-Positive, ARMS+). Conversion rate to psychosis was 21% for the overall sample, 34% for ARMS+, and 9% for ARMS-Negative (ARMS−). The final predictor model with a positive predictive validity of 80% consisted of four variables: Disorder of Thought Content, visuospatial/constructional deficits, sensory-integration, and theory-of-mind abnormalities. Removing Disorder of Thought Content from the model only slightly modified the predictive accuracy (−6.2%), but increased the sensitivity (+9.5%).
Conclusions
These results suggest that in a secondary mental health setting the use of trait-markers of the psychosis prodrome may predict psychosis conversion with great accuracy despite the heterogeneity of the ARMS status. The use of the proposed predictive algorithm may enable a selective recruitment, potentially reducing duration of untreated psychosis and improving prognostic outcomes.
There is a long tradition of reaction time studies in experimental psychopathology. Even though a diminishing interest in this paradigm has been seen over the last years, it is in line with more recent biological approaches to examine psychiatric disorders cross-diagnostically.
Methods
Patients (n = 95) with a positive subtype of schizophrenia (n = 22), a negative subtype of schizophrenia (n = 18), a full major depressive episode (n = 19), a full manic episode (n = 16), or a mood disorder in remission (n = 20) and subjects with no known psychiatric disorder (n = 30), respectively, participated in a computer-based reaction time test consisting of four trials with 55 short visual and auditory stimuli presented in a random sequence. Each participant’s median reaction time in milliseconds to light stimuli ipsimodal (light preceded by light) and cross-modal (light preceded by tone) and the difference between the two conditions (i.e. cross-modal retardation (CMR) to light) were recorded. Likewise, the median reaction time to tone stimuli ipsimodal and cross-modal and the difference between the two (CMR to tone) were recorded.
Results
Patient groups performed worse than the control group, with the exception of the group of patients with mood disorders in remission in both CMRs. When comparing patient groups, the schizophrenia negative subtype performed worse than the remission group in both CMRs.
Conclusions
Our data support newer theories about underlying pathophysiological mechanisms and observable behavioural phenomena occurring across the different diagnostic categories, thereby supporting a dimensional approach in the diagnosis and clinical management.
Problem behavior of young children is generally not assessed with structured child interviews. This paper examined how information about problem behavior, obtained by structured interviews with six-year-old children, relates to DSM-disorders obtained from parents and to treatment referral.
Methods
In a population-based cohort, caregivers of 1084 young children (mean age 6.7 years) were interviewed with the DSM-based Diagnostic Interview Schedule-Young Child version (DISC-YC), and they scored the Child Behavior Checklist (CBCL). Children themselves were interviewed about problem behavior using the semi-structured Berkeley Puppet Interview (BPI). Information regarding treatment referral to mental health services was obtained by parent-reported questionnaire when children were on average eight years old.
Results
DSM-disorders and CBCL problems in the clinical range were cross-sectionally associated with higher levels of child self-reported problems. Associations were strongest in the externalizing domain (e.g. DISC-YC externalizing disorders with BPI externalizing scores: F(1, 416) = 19.39, P < 0.001; DISC-YC internalizing disorders with BPI internalizing scores: F(1, 312) = 3.75, P = 0.054). Moreover, higher BPI internalizing and externalizing problem scores predicted treatment referral two years later.
Conclusions
We conclude that systematically interviewing preschool and young elementary school-aged children should be an integral part of child assessment. This approach may contribute to a better understanding of child development and may predict future problems.
In England, during 2009–2014 the ‘Time to Change’ anti-stigma programme has included a social marketing campaign (SMC) using mass media channels, social media and social contact events but the efficacy of such approach has not been evaluated yet.
Methods
The target population included people aged between mid-twenties/mid-forties, from middle-income groups. Participants were recruited through an online market research panel, before and after each burst of the campaign (with a mean number of unique participants per each burst: 956.9 ± 170.2). Participants completed an online questionnaire evaluating knowledge [Mental Health Knowledge Schedule (MAKS)]; attitudes [Community Attitudes toward Mental Illness (CAMI)]; and behaviours [Reported and Intended Behaviour Scale (RIBS)]. Socio-demographic data and level of awareness of the SMC were also collected.
Results
A total of 10,526 people were interviewed. An increasing usage of the SMC-media channels as well as of the level of awareness of SMC was found (P < 0.001). Being aware of the SMC was found to be associated with higher score at MAKS (OR = 0.95, CI = 0.68 to 1.21; P < 0.001), at ‘tolerance and support’ CAMI subscale (OR = 0.12, CI = 0.09 to 0.16; P < 0.001), and at RIBS (OR = 0.71, CI = 0.51 to 0.92; P < 0.001), controlling for confounders.
Conclusion
The SMC represents an important way to effectively reduce stigma. Taking into account these positive findings, further population-based campaigns using social media may represent an effective strategy to challenge stigma.