Nonsuicidal self-injury (NSSI) is defined as deliberate and direct damage to one’s body tissues without any suicidal intent. NSSI is now recognized as a major risk factor for suicide and is prevalent among adolescents, with prevalence rates ranging from 7.5% to 46.5%, leading to increased interest in the pathophysiology of NSSI. This study aimed to examine cortical gyrification morphology, a neurobiological index of cortical folding and patterning, among unmedicated individuals with NSSI, which is prevalent in adolescents and young adults.

The main objective of this study is to compare cortical morphological abnormalities between individuals with NSSI and controls in terms of the local gyrification index (LGI), the ratio of the smooth cortical surface area at each vertex to the corresponding sulcal folds. In addition, we hypothesized that the LGI, a stable neurodevelopmental marker of cortical and subcortical circuit intergrity, would correlate with clinical measures in youth with NSSI.

A total of 101 individuals with NSSI and 100 age-, gender-, and handedness-matched controls completed self-report questionnaires and structural magnetic resonance imaging (MRI) data were acquired on a 3T Siemens scanner. A surface-based analysis was conducted using the Computational Anatomy Toolbox (CAT12) in Statistical Parametric Mapping (SPM12). Partial correlation analysis was also performed using R software to investigate the association between the LGI values extracted from the region of interest (ROI) and clinical symptoms, including depression, anxiety, emotion dysregulation, and anhedonia in individuals with NSSI.

Individuals with NSSI showed significantly increased LGI in the right insula sulcus and left superior temporal sulcus (STS), along with decreased LGI in the right calcarine and left superior parietal sulcus (SPS), compared to controls (5000 permutation correction, threshold-free cluster enhancement with a threshold of p < .05). In addition, higher LGI in left STS was correlated with greater scores of the Beck Anxiety Inventory (r = 0.22, p < .05) and of the Impulse Control Difficulties subscale of the Difficulties in Emotion Regulation Scale (r = 0.34, p < .001). Conversely, reduced LGI of the right calcarine was associated with a higher score on the Anhedonia subscale of the Beck Depression Inventory (r = -0.23, p < .05) within individuals with NSSI.

This study identified hypergyria in the right insular and left STS and hypogyria in the right calcarine and left SPS in individuals with NSSI. The former pattern was associated with anxiety and impulse control difficulties, and the latter was with anhedonia. This study is the first to alter distinct neurodevelopmental patterns of local gyrification and their correlations with clinical manifestations in individuals with NSSI.

None Declared

Mental healthcare services that address a variety of primary complaints which are highly related to maladaptive personality traits among the general population are important to prevent developing psychiatric disorders.

This study aimed to examine the effectiveness of a digital mental health service (named “Mindling”) that focuses on maladaptive personality traits in the general population.

Participants were recruited through a South Korean community website and screened for adults between the ages of 18 and 60 in terms of personality traits such as perfectionism, low self-esteem, social isolation, or anxiety. Participants were allocated to four intervention programs (Riggy, Pleaser, Shelly, and Jumpy) based on their screening results and were randomly assigned to digital treatment and waitlist groups. Each intervention program was conducted online for 10 weeks. The primary outcomes were all measured by self-report questionnaires; in addition to stress levels, each program included measures of perfectionism (Riggy), low self-esteem (Pleaser), loneliness (Shelly), and anxiety (Jumpy). The secondary outcomes included self-efficacy, depression, and other psychological states. All participants completed pre-treatment (baseline), intervention (week 5), and post-treatment (week 10) assessments, and the treatment group completed a separate follow-up assessment (week 14).

In the treatment group, 70.05% of the participants completed the full course of the digital intervention. The mean scores for each primary outcome measure and some secondary outcome measures were significantly different between baseline and post-treatment in the treatment group for the Total, Riggy, Pleaser, Shelly, and Jumpy programs, but these differences were not observed in the waitlist group. In addition, mean differences between the treatment and waitlist groups at post-treatment assessment were significant for all primary outcome measures and some secondary outcome measures. Specifically, the levels of stress (Total program), perfectionism (Riggy), loneliness (Shelly), and anxiety (Jumpy) were significantly lower in the treatment group, while self-esteem (Pleaser) was higher. In addition, the mean differences between post-treatment and follow-up assessment data were not statistically significant for all primary outcome measures and nearly all secondary outcome measures.

This study validated the effectiveness of the digital intervention program targeting maladaptive personality traits and suggested its sustainable effects.

None Declared

Existing digital mental health interventions are mainly focused on the symptoms of specific mental disorders such as depression and anxiety. However, digital mental health interventions aiming enhancement of mental health in the general population are rare. Considering that the psychological discomfort of the general public is more complex and subtle, interventions focusing on maladaptive personality and interpersonal schema rather than symptoms per se can be an alternative.

To this end, concise tools for measuring the core personality and interpersonal patterns known to cause psychological discomfort among potential users of digital mental health interventions are essential. For this purpose, the Schema Scale was developed and our study aims to validate and confirm psychometric properties of the scale.

This cross-sectional study was carried out between July and August 2022. Participants were 234 adults aged between 19 to 39 who completed an online survey including the Schema Scale and other 15 questionnaires. Exploratory factor analysis were conducted to construct the factorial structure model.

Exploratory factor analysis showed a five-factor structure with a total variance of 57%; factor 1 consisted of lack of belongingness and poor social skills, factor 2 of lack of patience hot-tempered coping style, factor 3 of maladaptive perfectionism, factor 4 of self-sacrifice and lack of self-confidence and factor 5 of items representing pessimistic and anxious mindset. Internal consistency of each factor was good(Cronbach’s alpha=0.712~0.882), and correlations with existing measures were significant.

The five personality Schema Scale appears to be a short(total 35 items) and a valid tool for measuring five essential personality and interpersonal patterns for adults aged 20~30 years. This tool has been developed for online use and therefore has the advantage of being easily accessible. Most importantly, based on the results of the Schema Scale, the individualized digital interventions can be recommended that targets maladaptive psychological patterns.

None Declared

To investigate the association between parity and the risk of incident dementia in women.

We pooled baseline and follow-up data for community-dwelling women aged 60 or older from six population-based, prospective cohort studies from four European and two Asian countries. We investigated the association between parity and incident dementia using Cox proportional hazards regression models adjusted for age, educational level, hypertension, diabetes mellitus and cohort, with additional analysis by dementia subtype (Alzheimer dementia (AD) and non-Alzheimer dementia (NAD)).

Of 9756 women dementia-free at baseline, 7010 completed one or more follow-up assessments. The mean follow-up duration was 5.4 ± 3.1 years and dementia developed in 550 participants. The number of parities was associated with the risk of incident dementia (hazard ratio (HR) = 1.07, 95% confidence interval (CI) = 1.02–1.13). Grand multiparity (five or more parities) increased the risk of dementia by 30% compared to 1–4 parities (HR = 1.30, 95% CI = 1.02–1.67). The risk of NAD increased by 12% for every parity (HR = 1.12, 95% CI = 1.02–1.23) and by 60% for grand multiparity (HR = 1.60, 95% CI = 1.00–2.55), but the risk of AD was not significantly associated with parity.

Grand multiparity is a significant risk factor for dementia in women. This may have particularly important implications for women in low and middle-income countries where the fertility rate and prevalence of grand multiparity are high.

Parenting dimensions are associated with depressive symptoms in adolescents. We investigated the role of perceived parenting dimensions and gene-environment interactions between these perceived parenting dimensions and five well-known variable number of tandem repeats (VNTRs): 5-HTTLPR, STin2, DAT1, DRD4, and MAO-A, in depressive symptoms.

From a non-clinical sample of 1111 Belgian adolescents (mean age: 13.79 years, SD = .94; 51% boys), 1103 adolescents consented for genetic research. Five VNTRs were analyzed using DNA from saliva samples. Perceived parenting dimensions (i.e., support, proactive control, psychological control, punishment, and harsh punishment) were examined using self-report scales completed by adolescents and their parents. Depressive symptoms were investigated using the CES-D self-report scale. Statistical analyses were performed in R using linear regression.

Parental support, as perceived by the adolescent, was negatively associated with depressive symptoms (CES-D) and psychological control was positively associated with these symptoms. The only interaction effect withstanding correction for multiple testing was observed for 5-HTTLPR and the difference in proactive control as perceived by adolescents in comparison to parents. Short-allele carriers showed more depressive symptoms when there was a higher discrepancy in proactive control as perceived by adolescents versus parents.

Our results suggest that perceived parenting dimensions are associated with depressive symptoms, as measured by the CES-D. We only found modest evidence for 5-HTTLPR as a moderator in the association between the difference in perception of proactive control (adolescents vs. parents) and depressive symptoms.

Manual surveillance of healthcare-associated infections is cumbersome and vulnerable to subjective interpretation. Automated systems are under development to improve efficiency and reliability of surveillance, for example by selecting high-risk patients requiring manual chart review. In this study, we aimed to validate a previously developed multivariable prediction modeling approach for detecting drain-related meningitis (DRM) in neurosurgical patients and to assess its merits compared to conventional methods of automated surveillance.

Prospective cohort study in 3 hospitals assessing the accuracy and efficiency of 2 automated surveillance methods for detecting DRM, the multivariable prediction model and a classification algorithm, using manual chart review as the reference standard. All 3 methods of surveillance were performed independently. Patients receiving cerebrospinal fluid drains were included (2012–2013), except children, and patients deceased within 24 hours or with pre-existing meningitis. Data required by automated surveillance methods were extracted from routine care clinical data warehouses.

In total, DRM occurred in 37 of 366 external cerebrospinal fluid drainage episodes (12.3/1000 drain days at risk). The multivariable prediction model had good discriminatory power (area under the ROC curve 0.91–1.00 by hospital), had adequate overall calibration, and could identify high-risk patients requiring manual confirmation with 97.3% sensitivity and 52.2% positive predictive value, decreasing the workload for manual surveillance by 81%. The multivariable approach was more efficient than classification algorithms in 2 of 3 hospitals.

Automated surveillance of DRM using a multivariable prediction model in multiple hospitals considerably reduced the burden for manual chart review at near-perfect sensitivity.

Infect Control Hosp Epidemiol 2015;36(1): 65–75