Early childhood and adolescent risk factors for psychotic depression in a general population birth cohort sample

A Systematic Review of Resilience in At-Risk Youth for Psychotic Disorders: An Analysis of Protective and Risk Factors from Recent Literature

Psychotic disorders in youth pose significant challenges for mental health services, necessitating a detailed understanding of the interplay between risk factors and resilience. This systematic review aimed to assess how resilience factors might buffer the adverse effects of risk factors on the development of psychosis among youth, thereby informing targeted interventions. Studies were selected based on criteria including a focus on individuals aged up to 25 years old at risk for psychosis, the examination of both risk factors and resilience, and the use of validated instruments for measuring outcomes. Literature searches were conducted across several databases, such as PubMed, Scopus, and Web of Science. Data extraction emphasized odds ratios (ORs) and hazard ratios (HRs) for risk factors, including familial, developmental, and socio-environmental influences. The review included and analyzed nine studies, encompassing a diverse sample of 140,972 participants. Significant findings indicate that highly supportive familial and community environments significantly reduce the risk of psychosis onset. For instance, children with strong family support and engagement in structured activities demonstrated a 40% lower incidence of developing psychotic symptoms [p < 0.05]. Furthermore, the presence of neurobehavioral deficits, such as impaired verbal memory and attention, emerged as significant predictors of psychosis, with these children exhibiting a threefold increase in risk compared to their peers [OR = 3.2, 95% CI: 2.1-4.8, p < 0.01]. Resilience factors play a critical role in mitigating the impact of psychosocial and neurobiological risks in the development of psychosis among youths. Interventions enhancing resilience could potentially alter the trajectory of psychosis development, emphasizing the need for early and targeted psychosocial interventions to support at-risk populations. This study underscores the importance of fostering resilience through both individual-focused and community-based strategies to prevent the onset of psychotic disorders in vulnerable young populations.

Prevalence of co-occurring severe depression and psychotic symptoms in college students and its relationship with childhood maltreatment

BACKGROUND

It has been demonstrated that childhood maltreatment (CM) is associated with an increased risk of depression and psychotic symptoms. However, there is still a lack of studies on the prevalence of co-occurring severe depression and psychotic symptoms (CSDPS) and the association between CM and CSDPS among college students.

OBJECTIVE

We aim to investigate the prevalence and demographic distribution of CSDPS among Chinese college students and to examine its relationship with CM.

PARTICIPANTS AND SETTING

A total of 7351 college students aged 18 and above completed the survey. Finally, 6854 valid questionnaires were included for further analysis.

METHODS

The Childhood Trauma Questionnaire and the item for witnessing domestic violence were used to assess the CM. The Prodromal Questionnaire-16 and the depression subscale of the Depression Anxiety and Stress-21 scale were used to assess psychotic symptoms and depressive symptoms.

RESULTS

The prevalence of CSDPS was 1.47 % among the college students. The multivariate logistic regression analysis showed that emotional abuse and emotional neglect were associated with an increased risk of CSDPS (all p < 0.05). The risk of CSDPS was dramatically increased for individuals who had experienced ≥3 types of CM (OR = 22.929, p < 0.001), as compared to those who had experienced 1-2 types of CM (OR = 4.452, p < 0.001) and those without the experience of CM.

CONCLUSION

CM was found to be associated with an increased risk of CSDPS among the college students. Notably, experiencing more types of CM was also associated with a higher risk of CSDPS.

Investigating the relationship between the depression levels of midwives and nurses and their emotional labor and secondary traumatic stress levels in the COVID-19 pandemic period with structural equation modelling

In this study, it was aimed to investigate the relationship between depression levels in midwives and nurses and their emotional labor and secondary traumatic stress levels in the COVID-19 pandemic process structural equation modelling. This cross-sectional study was conducted with 313 midwives and nurses. According to the model formed based on the presence of depression, as the Emotional Labor scores of the participants increased, their Beck Depression scores decreased 0.947-fold, while as their Secondary Traumatic Stress Scale scores increased, their Beck Depression scores increased 1.116-fold. It was determined that the scores of the participants in the Emotional Labor and Secondary Traumatic Stress Scales explained 42.8% of their Beck Depression Inventory scores. It was concluded that the depression statuses of the participants were affected by their emotional labor and secondary traumatic stress statuses.

The effect depression levels in midwives have on burnout and their level of job satisfaction

INTRODUCTION

This study aimed to determine the effect of depression levels in midwives on burnout and job satisfaction.

METHODS

The sample of this descriptive study consisted of 322 midwives working in a province located in the eastern region of Turkey. Data were collected by using the Personal Information Form, Beck Depression Inventory (BDI), Maslach Burnout Inventory (MBI), and Minnesota Job Satisfaction Questionnaire (MJSQ) Short Form.

RESULTS

The rate of midwives experiencing depression was found to be 9.6%. The mean score of MJSQ was 64.59±13.29, while the mean scores for the sub-dimensions of MBI were: emotional burnout 18.57±6.65, decrease in sense of personal accomplishment 21.65±3.93, and depersonalization 6.25±3.86. It was found that midwives who did not experience depression (90.4%) had a higher level of job satisfaction and a higher sense of personal accomplishment (p<0.05). On the other hand, midwives experiencing depression (9.6%) had higher levels of emotional exhaustion and depersonalization. It was found that there was a negative weak relationship between BDI and job satisfaction and personal accomplishment, and a positive weak relationship between BDI and emotional exhaustion (p<0.05).

CONCLUSIONS

It was determined that midwives with depression have lower levels of job satisfaction and personal success, and experience emotional exhaustion more frequently. In addition, it was observed that as the level of depression decreased, job satisfaction and personal success increased significantly, whereas emotional exhaustion decreased.

Clinical characteristics and sociodemographic features of psychotic major depression

BACKGROUND

Psychotic major depression (PMD) is a subtype of depression with a poor prognosis. Previous studies have failed to find many differences between patients with PMD and those with non-psychotic major depression (NMD) or schizophrenia (SZ). We compared sociodemographic factors (including season of conception) and clinical characteristics between patients with PMD, NMD, and schizophrenia. Our aim was to provide data to help inform clinical diagnoses and future etiology research.

METHODS

This study used data of all patients admitted to Shandong Mental Health Center from June 1, 2016 to December 31, 2017. We analyzed cases who had experienced an episode of PMD (International Classification of Diseases, Tenth Revision codes F32.3, F33.3), NMD (F32.0-2/9, F33.0-2/9), and SZ (F20-20.9). Data on sex, main discharge diagnosis, date of birth, ethnicity, family history of psychiatric diseases, marital status, age at first onset, education, allergy history, and presence of trigger events were collected. Odds ratios (OR) were calculated using logistic regression analyses. Missing values were filled using the k-nearest neighbor method.

RESULTS

PMD patients were more likely to have a family history of psychiatric diseases in their first-, second-, and third-degree relatives ([OR] 1.701, 95% confidence interval [CI] 1.019-2.804) and to have obtained a higher level of education (OR 1.451, 95% CI 1.168-1.808) compared with depression patients without psychotic features. Compared to PMD patients, schizophrenia patients had lower education (OR 0.604, 95% CI 0.492-0.741), were more often divorced (OR 3.087, 95% CI 1.168-10.096), had a younger age of onset (OR 0.934, 95% CI 0.914-0.954), less likely to have a history of allergies (OR 0.604, 95% CI 0.492-0.741), and less likely to have experienced a trigger event 1 year before first onset (OR 0.420, 95% CI 0.267-0.661). Season of conception, ethnicity, and sex did not differ significantly between PMD and NMD or schizophrenia and PMD.

CONCLUSIONS

PMD patients have more similarities with NMD patients than SZ patients in terms of demographic and clinical characteristics. The differences found between PMD and SZ, and PMD and NMD correlated with specificity of the diseases. Furthermore, allergy history should be considered in future epidemiological studies of psychotic disorders.