Latent class analysis of bipolar disorder symptoms and suicidal ideation and behaviors

Potential Harms of Responding to Youth Suicide Risk in Schools

The potential harms related to interventions for adults with suicide-related risk, particularly hospitalization, have been well documented. Much less work has focused on the potential harms related to interventions with youth struggling with suicidal thoughts and behaviors. Young people are most likely to receive mental health services in schools, which are recognized as meaningful sites for effective suicide prevention work. However, no overviews have conceptualized the potential harms to youth when schools engage in ineffective suicide prevention efforts. In this article, we discuss three prominent overlapping areas of potential harms: (1) privacy-related, (2) relationship-related, and (3) mental health-related. We then discuss key factors thought to influence the development and maintenance of these potential harms. We conclude by noting ways in which school-based mental health providers may attempt to reduce unintentional harms in this area, with an overarching goal of helping support school mental health providers and the youth they serve.

Psychosocial impact of dental aesthetics in adolescent : an evaluation of a latent profile and its associated risk factors

BACKGROUND

The psychosocial impact of dental aesthetics (PIDA) has a significant effect on well-being and quality of life. This study aimed to explore the latent heterogeneous classes of the PIDA among adolescents and investigate the relationships among identified subtypes and sociodemographic variables, the status of left-behind children, and the clinical manifestations of malocclusion.

METHODS

A cross-sectional study on the PIDA among 1451 adolescents aged 11 to 12 years in elementary schools in a rural area in Guangxi, China, was conducted. The PIDA on adolescents was also investigated via latent profile analysis; each predictor was tested via ordinal logistic regression.

RESULTS

Three latent classes for the PIDA were identified: low-risk (48.2%), medium-risk (39.8%), and high-risk (11.9%) groups. There were significant differences among the three latent classes. The results revealed that being female, The duration of maternal employment outside the hometown, the largest anterior maxillary irregularity, the largest anterior mandibular irregularity, and the antero-posterior molar relationship (ORs of 1.737, 1.138, 1.117, 1.157, and OR = 1.242; P < 0.001, < 0.01, < 0.01, < 0.01 and < 0.05, respectively) had significant effects on the PIDA on adolescents.

CONCLUSIONS

The occlusal features, being female and the duration of maternal employment outside the hometown are risk factors that influence the PIDA on adolescents. This provides an evidence for improving the PIDA status among rural adolescents.

Latent Profile Analysis of Suicidal Ideation in Chinese Individuals with Bipolar Disorder

Individuals with bipolar disorder (BD) have a greater suicide risk than the general population. In this study, we employed latent profile analysis (LPA) to explore whether Chinese individuals with different phases of BD differed at the levels of suicidal ideation. We recruited 517 patients. Depressive symptoms were measured using the 24-item Hamilton Depression Rating Scale (HAMD-24), and manic symptoms were evaluated using the Young Mania Rating Scale (YMRS). The extent of suicidal thoughts was determined through the Beck Scale for Suicide Ideation (BSSI). The scores of HAMD and YMRS were used to perform LPA. LPA categorized participants into three classes: one exhibiting severe depressive and mild manic symptomatology, another showing severe depressive and severe manic symptomatology, and the third one displaying severe depressive and intermediate manic symptomatology. Suicidal ideation levels were found to be remarkably elevated across all three classes. Additionally, the three classes showed no significant differences in terms of suicidal ideation. Our research confirms the link between depressive symptoms and suicide, independent of the manic symptoms. These findings carry meaning as they provide insight into the suicide risk profiles within different phases of BD.

Do bipolar disorder symptom profiles matter for suicide risk? A latent class approach to investigating differences in suicidal desire and acquired capability

INTRODUCTION

Depressive and mixed symptoms in bipolar disorder (BD) have been linked to higher suicide risk. Based on Klonsky and May's three-step theory and Joiner's Interpersonal Psychological Theory of Suicide, we hypothesized that patients diagnosed with BD who reported severe levels of depressive symptoms and mixed depressive and manic symptoms would also report higher levels of suicidal desire and acquired capability of suicide, as well as suicidal thoughts and behaviors.

METHODS

The sample included 177 outpatients diagnosed with BD. Latent class analysis was conducted to replicate the identified groups of a previously conducted study using a smaller but overlapping dataset. Between-class and pairwise analyses with measures of suicidal desire and acquired capability were conducted.

RESULTS

As expected, the classes characterized by severe depressive symptoms and mixed symptoms reported higher levels of suicidal desire. However, the results regarding acquired capability were less consistent.

CONCLUSION

Given the overall elevated suicide risk of BD and the consistent relationship between depressive symptoms and other strong correlates of suicide, clinicians who work with patients diagnosed with BD should closely monitor changes in their depressive symptoms.

Correlation between low frequency fluctuation and cognitive performance in bipolar disorder patients with suicidal ideation

BACKGROUND

Patients with bipolar disorder (BD) are at high risk of suicidal ideation (SI), and BD patients with suicidal ideation (BDSI) have shown marked abnormalities in spontaneous brain function. Cognitive impairment, on the other hand, is considered to be one of the core symptoms of BD. However, few studies have addressed the association between cognitive performance and abnormal spontaneous brain function in BDSI.

METHODS

In the current study, the MATRICS Consensus Cognitive Battery (MCCB) was used to assess cognitive performance in BDSI (n = 20), BD subjects without suicidal ideation (BDNSI) (n = 24) and healthy controls (HC) (n = 30). Their cognitive performance was then correlated with amplitude of low frequency fluctuation (ALFF) values obtained by resting-state functional magnetic resonance imaging (rs-fMRI).

RESULTS

We found that ALFF was significantly higher in the left precuneus and right posterior cingulate cortex in the BDSI group and significantly lower in the right precuneus in the BDNSI group than in the HC group. In addition, in the BDSI group, visual learning performance was positively correlated with ALFF values in the left precuneus.

CONCLUSIONS

Our findings support the notion that BD patients present with ALFF abnormalities, which are associated with cognitive performance in BDSI.

A synopsis of multitarget therapeutic effects of anesthetics on depression

Depression is a profound mental disorder that dampens the mood and undermines volition, which exhibited an increased incidence over the years. Although drug-based interventions remain the primary approach for depression treatment, the available medications still can't satisfy the patients. In recent years, the newly discovered therapeutic targets such as N-methyl-D-aspartate (NMDA) receptor, α-amino-3-hydroxy-5-methyl-4-isoxazole-propionic acid (AMPA) receptor, and tyrosine kinase B (TrkB) have brought new breakthroughs in the development of antidepressant drugs. Moreover, it has come to light that certain anesthetics possess pharmacological mechanisms intricately linked to the aforementioned therapeutic targets for depression. At present, numerous preclinical and clinical studies have explored the therapeutic effects of anesthetic drugs such as ketamine, isoflurane, N2O, and propofol, on depression. These investigations suggested that these drugs can swiftly ameliorate patients' depression symptoms and engender long-term effects. In this paper, we provide a comprehensive review of the research progress and potential molecular mechanisms of various anesthetic drugs for depression treatment. By shedding light on this subject, we aim to facilitate the development and clinical implementation of new antidepressant drugs based on anesthetic medications.

The collective impact of childhood abuse, psychache, and interpersonal needs on suicidal ideation among individuals with bipolar disorder: A discriminant analysis

BACKGROUND

Suicide is one of the ten leading causes of death in the United States. Childhood abuse, psychache (intense emotional pain), and interpersonal needs are widely known to be associated with suicidal thoughts and behaviors. However, only a limited number of studies investigate whether these variables, when analyzed collectively, are able to distinguish between a group of individuals who report suicidal ideation and those who deny such thoughts.

PARTICIPANTS AND SETTING

Data were collected from individuals (N =177) with a diagnosis of bipolar disorder participating in an intensive outpatient program that provides mental health care to indigent, mostly minority patients in Southeast United States.

METHODS

The dependent variable was item number 9 on the Beck Depression Inventory that asks about any suicidal thoughts in the past two weeks. We utilized discriminant analysis to test whether childhood abuse, interpersonal needs, and psychache were collectively able to accurately identify group membership of the study participants.

RESULTS

The discriminant model included six independent variables: three different types of childhood abuse (emotional, physical, and sexual), interpersonal needs (perceived burdensomeness and thwarted belongingness), and psychache. Results revealed that the model was able to correctly classify group membership in 75% of the individuals in the study.

CONCLUSION

In context of bipolar disorder, history of childhood abuse (particularly sexual and emotional abuse), intense psychache, and greater perceived thwarted belongingness and burdensomeness put an individual at a higher risk of suicidal ideation. Gaining insight into the interactions among these variables may lead to formulating early interventions to prevent suicide in patients reporting this constellation of symptoms.

Psychiatric and non-psychiatric population vulnerabilities in time of a crisis: the unsuspected aggression factor

OBJECTIVES

In March 2020, France faced a health crisis due to the COVID-19 outbreak that, like previous infectious disease crises, involved high psychological and emotional stress, a series of factors that influenced the ongoing mental health crisis.

METHODS

We recruited 384 respondents to complete an online questionnaire during the second month of isolation: 176 psychotherapy recipients (68 were currently attending psychiatric care) and 208 healthy controls. We measured demographic characteristics, impulsivity, aggression, hopelessness, suicidal risk, and the global level of anxiety and depression in order to estimate potential discrepancies in clinical measures across these populations.

RESULTS

Our results indicate that the group currently undergoing psychiatric care was prone to loneliness and social isolation. Regarding clinical and nonclinical population, there were differences in suicidal risk, depression, anxiety, and hopelessness but mainly in aggression. Regression analysis also demonstrated that aggression surprisingly influenced anxiety levels. Patients undergoing therapy compared with patients who were not displayed differences only in suicidal risk, anxiety, and hopelessness, with those undergoing therapy having higher scores. The outpatient group undergoing therapy had a significantly lower level of impulsivity. Moreover, the regression to predict anxiety and depression levels from correlated factors highlighted the potentially heightened role of aggression in predicting anxiety in the clinical group.

CONCLUSION

New research into stress reactions should assess other clinical signals, such as aggression, and examine preventive mental health interventions in times of crisis.

A latent class analysis using the integrated motivational-volitional model of suicidal behaviour: Understanding suicide risk over 36 months

BACKGROUND

The use of latent class analysis (LCA) to understand suicide risk is often not guided by theoretical frameworks. This study used the Integrated Motivational-Volitional (IMV) Model of Suicidal Behaviour to inform the classification of subtypes of young adults with a suicidal history.

METHODS

Data from young adults in Scotland (n = 3508) were used in this study including a subgroup of participants (n = 845) with a history of suicidality. LCA using risk factors from the IMV model was conducted on this subgroup, and the subgroups and non-suicidal control group were compared. Trajectories of suicidal behaviour over 36 months was compared between the classes.

RESULTS

Three classes were identified. Class 1 (62 %) had low scores on all risk factors, Class 2 (23 %) had moderate scores, and Class 3 (14 %) had high scores on all risk factors. Those in Class 1 had a stable low risk of suicidal behaviour, while those in Class 2 and 3 showed marked variation over time, although Class 3 had the highest risk across all timepoints.

LIMITATIONS

The rate of suicidal behaviour in the sample was low, and differential dropout may have impacted the findings.

CONCLUSIONS

These findings suggest that young adults can be classified into different profiles based on suicide risk variables derived from the IMV model, which still distinguishes them 36 months later. Such profiling may help determining who is most at risk for suicidal behaviour over time.

Suicidal Ideation in Bipolar Disorder: The Relation with Clinical and Sociodemographic Variables

INTRODUCTION

Bipolar disorder (BD) has the highest risk of suicide among all mental disorders. Thus, identifying factors related to suicidal ideation is essential for a better assessment of the risk of suicide in BD.

OBJECTIVE

To analyze the relationship between suicidal ideation and clinical and sociodemographic characteristics in BD patients.

METHOD

This is a cross-sectional study that included eighty individuals with BD. Information regarding sociodemographic data and history of attempted suicide were collected, and the Hamilton Depression Scale, Young Mania Rating Scale, Positive And Negative Syndrome Scale/positive symptom subscale, Clinical Global Impressions Scale for use in bipolar illness, Insight Scale for Affective Disorders, and Barratt Impulsiveness Scale were administered. The presence and severity of suicidal ideation were assessed using the Beck Scale for Suicidal Ideation.

RESULTS

All regression models significantly predicted suicidal ideation. In the model that had the lowest AIC score and the highest cross-validity, the severity of depressive and of manic symptoms (standardized β = 0.49, p < 0.001; standardized β = 0.42, p = 0.007), the insight level (standardized β = - 0.38, p = 0.012) and previous suicide attempt (standardized β = 0.20, p = 0.036) acted as predictors of suicidal ideation, while degree of impulsivity (β standardized = 0.13, p = 0.229) and educational level (standardized β = - 0.16, p = 0.108) did not give a significant contribution.

CONCLUSION

According to our results, more severe depression and mania symptoms, higher level of insight and a history of suicide attempt indicate the occurrence of suicidal ideation in BD.

Latent class analysis of depression and anxiety among medical students during COVID-19 epidemic

OBJECTIVE

The novel coronavirus disease 2019 (COVID-19) is a global public health emergency that has caused worldwide concern. The mental health of medical students under the COVID-19 epidemic has attracted much attention. This study aims to identify subgroups of medical students based on depression and anxiety and explore the influencing factors during the COVID-19 epidemic in China.

METHODS

A total of 29,663 medical students were recruited during the epidemic of COVID-19 in China. Depression and anxiety symptoms were assessed using Patient Health Questionnaire 9 (PHQ9) and Generalized Anxiety Disorder 7 (GAD7) respectively. Latent class analysis was performed based on depression and anxiety symptoms in medical students. The latent class subtypes were compared using the chi-square test. Multinomial logistic regression was used to examine associations between identified classes and related factors.

RESULTS

In this study, three distinct subgroups were identified, namely, the poor mental health group, the mild mental health group and the low symptoms group. The number of medical students in each class is 4325, 9321 and 16,017 respectively. The multinomial logistic regression results showed that compared with the low symptoms group, the factors influencing depression and anxiety in the poor mental health group and mild mental health group were sex, educational level, drinking, individual psychiatric disorders, family psychiatric disorders, knowledge of COVID-19, fear of being infected, and participate in mental health education on COVID-19.

CONCLUSIONS

Our findings suggested that latent class analysis can be used to categorize different medical students according to their depression and anxiety symptoms during the outbreak of COVID-19. The main factors influencing the poor mental health group and the mild mental health group are basic demographic characteristics, disease history, COVID-19 related factors and behavioural lifestyle. School administrative departments can carry out targeted psychological counseling according to different subgroups to promote the physical and mental health of medical students.

Symptom variability in depersonalization-derealization disorder: A latent profile analysis

OBJECTIVE

Depersonalization-derealization disorder (DDD) is characterized by diverse symptomatology overlapping with anxiety and dissociative disorders, but the sources of this variability are poorly understood. This study aims to determine whether symptom heterogeneity is attributable to the presence of latent subgroups.

METHOD

We applied latent profile analysis to psychometric measures of anxiety, depersonalization-derealization, and dissociation in 303 DDD patients.

RESULTS

The analysis yielded evidence for five discrete subgroups: three of varying severity levels and two moderate-to-severe classes characterized by differential dissociative symptoms. The five classes reliably differed on several nondissociative symptoms, comorbidities, and factors precipitating their diagnosis but did not significantly differ in other symptoms including anxiety.

CONCLUSION

These results suggest the presence of three distinct DDD subtypes in the upper severity range that are distinguished by differential expression of detachment and compartmentalization symptoms. Further elucidation of these subtypes has potential implications for the etiology, mechanisms, and treatment of DDD.

Psychometric Properties of the Chinese Version of the Bipolar Depression Rating Scale for Bipolar Disorder

INTRODUCTION

Unlike unipolar depression, depressive episode of bipolar disorder is often associated with clinical characteristics, such as atypical and mixed symptoms. However, there are currently no valid and reliable specific tools available to assess the specific psychiatric symptomatology of depressive episode of bipolar disorder in China. Therefore, we aimed to evaluate the psychometric properties of the Chinese version of the Bipolar Depression Rating Scale (BDRS) in Chinese patients with bipolar disorder.

METHODS

The sample of this study included 111 patients with bipolar disorder (30 male, 81 female). All participants were interviewed with the Chinese version of the BDRS (BDRS-C), the 17-item Hamilton Depression Rating Scale (HAMD-17), the Montgomery-Asberg Depression Rating Scale (MADRS) and the Young Mania Rating Scale (YMRS). A psychometric analysis of the BDRS was conducted.

RESULTS

The Cronbach's alpha coefficient of the BDRS-C reached a value of 0.869. The BDRS-C score and scores for the HAMD-17 (r = 0.819, p < 0.01), the MADRS (r = 0.882, p < 0.01) and the YMRS (r = 0.355, p < 0.01) exhibited significant positive correlations. Close correlations were observed between the mixed subscale score of the BDRS-C and the YMRS score (r = 0.784, p < 0.01). Exploratory factor analysis resulted in three factors: a primary depressive symptoms cluster, a secondary depressive symptoms cluster, and a mixed symptoms cluster.

CONCLUSION

The Chinese version of the BDRS has satisfactory psychometric properties. This is a valid and reliable instrument to assess depressive symptomatology in patients with bipolar disorder.