Unraveling the complexity of associations between a history of childhood trauma, psychotic-like experiences, depression and non-suicidal self-injury: A network analysis

Network analysis of the relationship between non-suicidal self-injury, depression, and childhood trauma in adolescents

BACKGROUND

Non-suicidal self-injury seriously harm the physical and mental health of adolescents. The aim of the current study was to explore the relationship between non-suicide self-injury, depression, and childhood trauma from the perspective of symptoms in adolescents.

METHODS

A cross-sectional survey was conducted in four junior high middle schools and collected 2640 valid questionnaires. There were 1329 male students and 1311 female students. The age of the participants ranged from 11 to 17 years old, with a mean age of 13.3 (± 0.94) years. Non-suicidal self-injury (NSSI), depressive symptoms, and childhood trauma were assessed using the Adolescent Self-Harm Scale, the Childhood Depression Scale, and the Childhood Trauma Questionnaire, respectively. A network analysis was performed.

RESULTS

In the network, NSSI, depressive symptoms, and childhood trauma were closely related. Negative self-esteem in the depressive symptoms and emotional abuse in childhood were the most central nodes. Negative self-esteem and negative mood were directly connected to NSSI, other nodes of depressive symptoms appeared to be indirectly connected to NSSI through these two nodes. Emotional abuse was the only node in childhood trauma categories directly connected to NSSI. Nodes of other categories of childhood trauma (physical neglect, physical abuse, emotional neglect, and sexual abuse) were indirectly connected to NSSI through emotional abuse.

CONCLUSIONS

NSSI, depression, and childhood trauma of teenagers were closely related. Individuals who have suffered emotional abuse in childhood were more likely to have depressive symptoms and NSSI. Improving negative self-esteem and negative emotions and reducing emotional abuse may be beneficial in alleviating depression and reducing NSSI in adolescents.

The association between the number of pregnancies and depressive symptoms: A population-based study

BACKGROUND

Depression is a psychosomatic disorder that affects reproductive health. The number of pregnancies is an important indicator of reproductive health. Multiple pregnancies and births may aggravate the risk of depression in females. However, the evidence of the connection between the number of pregnancies and depression is unclear. We aimed to investigate the relationship between the number of pregnancies and depressive symptoms.

METHODS

We used the National Health and Nutrition Examination Survey (NHANES) data with a total of 17,216 women from 2005 to 2020. The number of pregnancies obtained from the self-report questionnaire. Depressive symptoms were measured by the nine-item patient health questionnaire (PHQ-9). Multivariate logistic regression models were used to examine the risk factors of depression. The restricted cubic spline (RCS) was applied to explore the nonlinear relationship. In addition, subgroup analysis was used to support the accuracy of our findings.

RESULTS

We found that the number of pregnancies is positively associated with the prevalence of depression. According to the multivariable logistic regression analysis, pregnant women was 1.52-fold higher than the normal group to experience depression in the fully-adjusted model. No interaction between number of pregnancies and covariates in subgroups.

LIMITATIONS

This study was cross-sectional, which limits its ability to draw conclusions about the causal relationship between the number of pregnancies and depression.

CONCLUSION

In the United States, the number of pregnancies was positively associated with the prevalence of depression. It is critical to register the number of pregnancies for monitoring depressive symptoms.

Analysis of risk factors of suicidal ideation in adolescent patients with depression and construction of prediction model

BACKGROUND

Major depressive disorder is a common mental illness among adolescents and is the largest disease burden in this age group. Most adolescent patients with depression have suicidal ideation (SI); however, few studies have focused on the factors related to SI, and effective predictive models are lacking.

AIM

To construct a risk prediction model for SI in adolescent depression and provide a reference assessment tool for prevention.

METHODS

The data of 150 adolescent patients with depression at the First People's Hospital of Lianyungang from June 2020 to December 2022 were retrospectively analyzed. Based on whether or not they had SI, they were divided into a SI group (n = 91) and a non-SI group (n = 59). The general data and laboratory indices of the two groups were compared. Logistic regression was used to analyze the factors influencing SI in adolescent patients with depression, a nomogram prediction model was constructed based on the analysis results, and internal evaluation was performed. Receiver operating characteristic and calibration curves were used to evaluate the model's efficacy, and the clinical application value was evaluated using decision curve analysis (DCA).

RESULTS

There were differences in trauma history, triggers, serum ferritin levels (SF), high-sensitivity C-reactive protein levels (hs-CRP), and high-density lipoprotein (HDL-C) levels between the two groups (P < 0.05). Logistic regression analysis showed that trauma history, predisposing factors, SF, hs-CRP, and HDL-C were factors influencing SI in adolescent patients with depression. The area under the curve of the nomogram prediction model was 0.831 (95%CI: 0.763-0.899), sensitivity was 0.912, and specificity was 0.678. The higher net benefit of the DCA and the average absolute error of the calibration curve were 0.043, indicating that the model had a good fit.

CONCLUSION

The nomogram prediction model based on trauma history, triggers, ferritin, serum hs-CRP, and HDL-C levels can effectively predict the risk of SI in adolescent patients with depression.

The relationship between childhood maltreatment and non-suicidal self-injury in adolescents with depressive disorders

This study aims to explore the core symptoms of Non-Suicidal Self-Injury (NSSI) in adolescents with depressive disorders and the relationship between childhood maltreatment (CM) and NSSI symptoms by using network analysis. A total of 689 adolescents with depressive disorders participated in the survey. The Chinese version of the Adolescent Non-Suicidal Self-Injury Assessment Questionnaire (ANSAQ) and the Short Form of the Childhood Trauma Questionnaire (CTQ-SF) were employed to measure NSSI and the symptoms of CM, respectively. Using network analysis, the NSSI network and the CM-NSSI network were constructed to identify the most central symptoms and the bridge symptoms within the networks. Within the NSSI network, "Intentional scratches", " Intentionally hitting hard objects with your head ", " Intentionally hitting oneself with fists or harder objects ", and " Intentional pinching " were identified as the primary symptoms of NSSI. "emotional abuse", "sexual abuse", and " Intentionally cut yourself " emerged as three key bridge symptoms linking CM with NSSI. This research is the first to investigate the symptom network of CM-NSSI in a sample of adolescents with depressive disorders, providing a foundation for subsequent NSSI prevention and the development of targeted intervention strategies.

Effects of the interaction between PTSD and ADHD symptoms on the level of reporting psychotic-like experiences: findings from a non-clinical population

Objective

Psychotic-like experiences (PLEs) are increasingly being recognized as subclinical phenomena that might predict the development of various mental disorders that are not limited to the psychosis spectrum. Accumulating evidence suggests that attention-deficit/hyperactivity disorder (ADHD) and post-traumatic stress disorder (PTSD) are highly comorbid mental disorders. However, their interactive effect on the occurrence of PLEs has not been investigated so far. Therefore, in the present study we aimed to investigate the effect of interaction between ADHD and PTSD symptoms on the level of psychotic-like experiences (PLEs) in the non-clinical sample.

Methods

The study included 3,000 individuals aged 18-35 years with a negative history of psychiatric treatment. The symptoms of ADHD and PTSD were assessed using self-reports.

Results

There was a significant association of the interaction between ADHD and PTSD with the level of reporting PLEs. This association remained significant after adjustment for age, gender, the level of education, the current vocational situation, lifetime history of problematic substance use, and depressive symptoms. Post-hoc tests demonstrated significantly higher levels of reporting PLEs in participants with positive screening for both ADHD and PTSD compared to other subgroups of participants. Also, individuals with positive screening for one vulnerability (either ADHD or PTSD) reported significantly higher levels of reporting PLEs compared to those with a negative screening for ADHD and PTSD. In turn, no significant differences between individuals reporting one vulnerability, i.e., between those with positive screening for ADHD and those with positive screening for PTSD, were observed.

Conclusion

Findings from the present study imply that both PTSD and ADHD symptoms the interaction effect on the level of reporting PLEs that might be of importance for early intervention strategies. However, observed associations require replication in clinical samples.

Understanding pathways from narcissistic grandiosity to psychotic-like experiences: Insights from the network analysis

It has been shown that narcissistic grandiosity and psychotic-like experiences (PLEs) may share the common psychological mechanisms, including impairments of metacognition, social cognition, cognitive biases, emotion regulation through fantasizing and dissociation. However, it remains unknown as to whether these mechanisms are associated with the occurrence of PLEs in people with narcissistic grandiosity. Therefore, in the present study, we approached a network analysis in order to investigate pathways from narcissistic grandiosity to PLEs taking into consideration the mediating effect of common psychological mechanisms. The study was based on a non-clinical sample of 1647 individuals, aged 18-35 years. Data were collected through self-reports administered in the online survey. There were no direct connections between narcissistic grandiosity and PLEs. However, four pathways connecting narcissistic grandiosity and PLEs through the effect of one mediating psychological mechanism were identified. These mechanisms covered external attribution biases, the need to control thoughts, social cognition, and emotion regulation through fantasizing. Among them, the shortest pathway led through the effects of external attribution biases. Age, gender, education and lifetime history of psychiatric treatment were included as covariates in a network analysis. Findings from this study indicate that higher levels of external attributions, the need to control thoughts, impairments of social cognition, and emotion regulation strategies based on fantasizing might be associated with the development of PLEs in people showing narcissistic grandiosity. These observations indicate potential targets for therapeutic approaches that aim to reduce the risk of developing comorbid psychopathology in people with grandiose narcissism traits.