Applying network analysis to psychological comorbidity and health behavior: Depression, PTSD, and sexual risk in sexual minority men with trauma histories

A network analysis of positive psychosocial factors and indication of suboptimal HIV care outcomes among Black women living with HIV

Black women living with HIV (BWLWH) face barriers that impact health outcomes. However, positive psychosocial indicators may influence HIV care outcomes. Among this cross-sectional study of 119 BWLWH, a network analysis was utilized to examine relationships between positive psychosocial factors and HIV-related health outcomes. A preliminary polychoric analysis was conducted to examine correlations between the variables, and the network analyzed connections between resilience, self-efficacy, self-esteem, perceived social support, religious coping, post-traumatic growth, and an indicator variable for suboptimal HIV care outcomes (low medication adherence, detectable viral load, and missed HIV-related health visits) and determined the centrality measures within the network. Seven significant associations were found among the factors: self-efficacy and self-esteem, post-traumatic growth and resilience, post-traumatic growth and self-efficacy, post-traumatic growth and religious coping, perceived social support and resilience, self-esteem and resilience, self-esteem and perceived social support (bootstrapped 95% CI did not contain zero). Self-efficacy was the strongest indicator associated with the other factors. Although not statistically significant, the indicator for suboptimal HIV care outcomes was negatively associated with perceived social support and religious coping. Future interventions incorporating self-efficacy may be beneficial to the overall well-being of Black women.

Network Analysis of Depressive Symptoms in Chinese Sexual Minority Women During the COVID-19 Pandemic: An Intra-Group Perspective

The prevalence of depression among sexual minority women is a significant concern, yet no prior research has conducted a network analysis of depressive symptoms in this population. This is the first study to address this gap by examining the network structure of depressive symptoms in Chinese sexual minority women during the COVID-19 pandemic, considering both sexual orientation and gender expression as part of an intra-group perspective. 1420 Chinese sexual minority women completed the Center for Epidemiologic Studies Depressive Symptoms (CES-D). Network analysis was employed to calculate edge and centrality measures, and the network structures of lesbians and bisexual women were compared based on sexual orientation and of femme, androgyny, and butch based on gender expression. Network analysis revealed that the core depressive symptoms of Chinese sexual minority women are "Felt depressed," "Fatigue," "Sad," and "Failure." Although no significant differences were found in the network structure and global strength of depressive symptoms between different sexual orientations and gender expressions, there were significant differences in the core symptoms. This study suggests the unique associations between depressive symptoms and social and historical contexts among sexual minority women and emphasizes the importance of considering these differences when providing targeted mental health interventions.

Improving the Walktrap Algorithm Using K-Means Clustering

The walktrap algorithm is one of the most popular community-detection methods in psychological research. Several simulation studies have shown that it is often effective at determining the correct number of communities and assigning items to their proper community. Nevertheless, it is important to recognize that the walktrap algorithm relies on hierarchical clustering because it was originally developed for networks much larger than those encountered in psychological research. In this paper, we present and demonstrate a computational alternative to the hierarchical algorithm that is conceptually easier to understand. More importantly, we show that better solutions to the sum-of-squares optimization problem that is heuristically tackled by hierarchical clustering in the walktrap algorithm can often be obtained using exact or approximate methods for K-means clustering. Three simulation studies and analyses of empirical networks were completed to assess the impact of better sum-of-squares solutions.

Longitudinal Association Between Posttraumatic Stress Symptoms and Depression Symptoms Among Chinese Adolescents During COVID-19: Evidence from Network Perspective

Although there are an increasing number of studies that have explored the mental health consequences of COVID-19 focusing on revealing risk factors, the longitudinal research examining the potential mechanism of the co-occurrence of posttraumatic stress symptoms (PTSS) and depression symptoms among adolescents were scarce. The present study identified the important comorbidity symptoms and explored longitudinal relationship of PTSS and depression symptoms from the network perspective. A two-wave investigation (4 months interval; T1 and T2) was conducted with a sample of 1225 Chinese adolescents. Cross-sectional network and cross-lagged panel network (CLPN) analyses were adopted. Results showed that comorbidity symptoms consisted of both overlapping and non-overlapping symptoms, including "Future foreshortening" at T1 and T2 from PTSS, and "Hard to get started" at T1 and "Not sleep well" at T2 from depression symptoms. Strong longitudinal pathways appeared from all PTSS to depression symptoms, among which the pathway from "Difficulty concentrating" to "Hard to get started" was the strongest. These findings suggest that the possible comorbidity between PTSS and depression symptoms is caused by their independent and related structures, and their longitudinal association. Clinical intervention for these symptoms may alleviate adolescents' psychological problems in the aftermath of traumatic events.

Posttraumatic Stress Disorder Symptoms and Incarceration: The Impact on Sexual Risk-Taking, Sexually Transmitted Infections, and Depression Among Black Sexual Minority Men in HIV Prevention Trials Network (HPTN) 061

Black men and people belonging to sexual minority groups are disproportionately impacted by criminal legal involvement and sexually transmitted infections (STIs). Traumatic experiences are often associated with later criminal legal involvement, depression symptoms, sexual risk behavior, and STIs. Research on the joint influence of trauma and incarceration on STI risk among racial and/or sexual minority people is limited. This study tested the association between post-traumatic stress disorder (PTSD) symptoms and incarceration on sexual risk behavior and STI among Black sexual minority men, a population that may be at higher risk for contracting STIs. Using data from the HIV Prevention Trials Network 061 Study, a longitudinal study of adult Black sexual minority men in six U.S. cities (N = 855), we tested associations between past six-month incarceration and subsequent sexual risk behavior, STI, and depression symptoms, for those with and without pre-incarceration PTSD symptoms. PTSD symptoms were elevated among participants who reported Hispanic ethnicity, having sex with both men and women, and previous incarceration. Although there were not significant differences between recent incarceration and sexual risk for those with and without PTSD, incarceration was linked to some sexual risk behaviors regardless of PTSD symptoms. Among people with PTSD symptoms, there was a higher prevalence of sexual risk and depression symptoms, regardless of incarceration. These findings suggest a potentially compounding influence of PTSD symptoms and incarceration on sexual risk and infection among Black sexual minority men.

On maximization of the modularity index in network psychometrics

The modularity index (Q) is an important criterion for many community detection heuristics used in network psychometrics and its subareas (e.g., exploratory graph analysis). Some heuristics seek to directly maximize Q, whereas others, such as the walktrap algorithm, only use the modularity index post hoc to determine the number of communities. Researchers in network psychometrics have typically not employed methods that are guaranteed to find a partition that maximizes Q, perhaps because of the complexity of the underlying mathematical programming problem. In this paper, for networks of the size commonly encountered in network psychometrics, we explore the utility of finding the partition that maximizes Q via formulation and solution of a clique partitioning problem (CPP). A key benefit of the CPP is that the number of communities is naturally determined by its solution and, therefore, need not be prespecified in advance. The results of two simulation studies comparing maximization of Q to two other methods that seek to maximize modularity (fast greedy and Louvain), as well as one popular method that does not (walktrap algorithm), provide interesting insights as to the relative performances of the methods with respect to identification of the correct number of communities and the recovery of underlying community structure.

Network analysis of comorbid insomnia and depressive symptoms among psychiatric practitioners during the COVID-19 pandemic

STUDY OBJECTIVES

Insomnia and depression are common mental health problems reported by mental health professionals during the COVID-19 pandemic. Network analysis is a fine-grained approach used to examine associations between psychiatric syndromes at a symptom level. This study was designed to elucidate central symptoms and bridge symptoms of a depression-insomnia network among psychiatric practitioners in China. The identification of particularly important symptoms via network analysis provides an empirical foundation for targeting specific symptoms when developing treatments for comorbid insomnia and depression within this population.

METHODS

A total of 10,516 psychiatric practitioners were included in this study. The Insomnia Severity Index (ISI) and 9-item Patient Health Questionnaire (PHQ-9) were used to estimate prevalence rates of insomnia and depressive symptoms, respectively. Analyses also generated a network model of insomnia and depression symptoms in the sample.

RESULTS

Prevalence rates of insomnia (ISI total score ≥8), depression (PHQ-9 total score ≥5) and comorbid insomnia and depression were 22.2% (95% confidence interval: 21.4-22.9%), 28.5% (95% confidence interval: 27.6-29.4%), and 16.0% (95% confidence interval: 15.3-16.7%), respectively. Network analysis revealed that "Distress caused by sleep difficulties" (ISI7) and "Sleep maintenance" (ISI2) had the highest strength centrality, followed by "Motor dysfunction" (PHQ8) and "Sad mood" (PHQ2). Furthermore, the nodes "Sleep dissatisfaction" (ISI4), "Fatigue" (PHQ4), and "Motor dysfunction" (PHQ8) had the highest bridge strengths in linking depression and insomnia communities.

CONCLUSIONS

Both central and bridge symptoms (ie, Distress caused by sleep difficulties, Sleep maintenance, Motor dysfunction, Sad mood, Sleep dissatisfaction, and Fatigue) should be prioritized when testing preventive measures and specific treatments to address comorbid insomnia and depression among psychiatric practitioners during the COVID-19 pandemic.

CITATION

Zhao N, Zhao Y-J, An F, et al. Network analysis of comorbid insomnia and depressive symptoms among psychiatric practitioners during the COVID-19 pandemic. J Clin Sleep Med. 2023;19(7):1271-1279.

Intersecting Relationships of Psychosocial and Structural Syndemic Problems Among People with HIV in South Africa: Using Network Analysis to Identify Influential Problems

In South Africa, little is known about interrelationships between syndemic problems among people with HIV (PWH). A better understanding of syndemic problems may yield important information regarding factors amenable to mitigation. We surveyed 194 PWH in Khayelitsha, outside of Cape Town, South Africa. We used network analysis to examine the frequency of 10 syndemic problems and their interrelationships. Syndemic problems among PWH in South Africa were common; 159 (82.8%) participants reported at least 2 co-occurring syndemic problems and 90 (46.9%) endorsed 4 or more. Network analysis revealed seven statistically significant associations. The most central problems were depression, substance use, and food insecurity. Three clusters of syndemics were identified: mood and violence; structural factors; and behavioral factors. Depression, substance use, and food insecurity commonly co-occur among PWH in sub-Saharan Africa and interfere with HIV outcomes. Network analysis can identify intervention targets to potentially improve HIV treatment outcomes.

Critical Perspectives on Expanding Racial/Ethnic Diversity in the HIV Research Workforce: Comorbidities and Mentoring

HIV-related comorbidities in underrepresented minority populations are reframed to include the co-occurring problems of systemic and structural barriers, within the mentoring context as a buffer and as action-oriented. This framework is discussed to improve racial and ethnic minority diversity in the research workforce from the perspectives of HIV comorbidities and mentoring. An integrated and coordinated approach to HIV-related comorbidities and inequities may be helpful when combined with research on the social-structural contributions as drivers to diversify the research workforce. We emphasize how these key research issues (a) provide a platform for training and retraining a highly motivated, diverse workforce and (b) facilitate the empowerment of these trained individuals to conduct rigorous scientific research on social-structural factors to mitigate the effects of these comorbidities. We conclude that a diverse research workforce is necessary but insufficient for improving training-related outcomes or reducing comorbidity effects. Additional considerations are warranted that include systemic approaches and changes at the structural and institutional levels.

Exploring core mental health symptoms among persons living with HIV: A network analysis

CONTEXT

Persons living with HIV (PLWH) commonly experience mental health symptoms. However, little is known about the core mental health symptoms and their relationships.

OBJECTIVE

This study aimed to evaluate the prevalence of various mental health symptoms and to explore their relationships in symptom networks among PLWH.

METHODS

From April to July 2022, we recruited 518 participants through convenience sampling in Beijing, China, for this cross-sectional study. Forty mental health symptoms, including six dimensions (somatization symptoms, negative affect, cognitive function, interpersonal communication, cognitive processes, and social adaptation), were assessed through paper-based or online questionnaires. Network analysis was performed in Python 3.6.0 to explore the core mental health symptoms and describe the relationships among symptoms and clusters.

RESULTS

Of the 40 mental health symptoms, the most common symptoms were fatigue (71.2%), trouble remembering things (65.6%), and uncertainty about the future (64.0%). In the single symptom network, sadness was the most central symptom across the three centrality indices (r_S = 0.59, r_C = 0.61, r_B = 0.06), followed by feeling discouraged about the future (r_S = 0.51, r_C = 0.57, r_B = 0.04) and feelings of worthlessness (r_S = 0.54, r_C = 0.53, r_B = 0.05). In the symptom cluster network, negative affect was the most central symptom cluster across the three centrality indices (r_S = 1, r_C = 1, r_B = 0.43).

CONCLUSION

Our study provides a new perspective on the role of each mental health symptom among PLWH. To alleviate the mental health symptoms of PLWH to the greatest extent possible and comprehensively improve their mental health, we suggest that psychological professionals pay more attention to pessimistic mood and cognitive processes in PLWH. Interventions that apply positive psychology skills and cognitive behavioral therapy may be necessary components for the mental health care of PLWH.

The impact of depression and post-traumatic stress symptoms on physical health perceptions and functional impairment among sexual minority men living with HIV with histories of trauma

Mental health symptoms may compromise health-related quality of life (HRQOL), including among men who have sex with men (MSM) living with HIV, who experience high rates of trauma and other stressors. This study sought to examine the relative contributions of post-traumatic stress disorder (PTSD) symptoms, depression symptoms, and biological indices of HIV disease status on HRQOL in this population. Participants were 79 MSM with HIV (49% White; 35% Black; 8% Hispanic/Latinx) with trauma histories (52% met current PTSD diagnostic criteria). HRQOL outcomes were general perceptions of health (0-100 visual analog scale) and functional disability (WHODAS 2.0). Dominance analysis was applied to examine the relative share of variance in these outcomes accounted for by PTSD symptom severity, depression symptom severity, viral suppression status, and CD4 count. Depression symptom severity accounted for 70% and 92% of variance in perceived health, respectively, across models (p's < 0.05). Both PTSD symptom severity (45%) and depression symptom severity (43%) scores also accounted for significant variance in functional disability (p's < 0.05). Medical indices of HIV disease progression did not explain significant variance in HRQOL in any model. A trauma-informed approach may aid clinicians in interpreting reports of health and physical functioning in MSM with HIV.

Network analysis on the relationship between posttraumatic stress disorder, psychiatric co-morbidity and posttraumatic growth among Chinese adolescents

BACKGROUND

This study investigated the association between posttraumatic stress disorder (PTSD), psychiatric co-morbidity and posttraumatic growth (PTG) among Chinese adolescents using network analysis.

METHODS

867 Chinese adolescents (male = 424, female = 443) were recruited from three secondary schools. They completed the Posttraumatic Stress Disorder Checklist for DSM-5, the Posttraumatic Growth Inventory, and the General Health Questionnaire-28.

RESULTS

Domains of each construct mainly clustered within their respective communities with several bridging edges identified. The prominent roles of bridging nodes and edges (positive and negative) were highlighted. Key bridging nodes were negative alterations in cognitions and mood for PTSD, anxiety and insomnia for psychiatric co-morbidity and appreciation of life for PTG.

LIMITATIONS

The cross-sectional nature of the present study may preclude the identification of real causal relationships between nodes.

CONCLUSIONS

Following a trauma, adolescents displayed posttraumatic stress along with general psychological disorder symptoms. These distress reactions could affect the way they appreciated life and their motivation to seek future life possibilities. Findings from the current study may provide some clue for the facilitation of posttraumatic growth among clinical patients.

Utilizing network analysis to understand the structure of depression in Chinese adolescents: Replication with three depression scales

Depression involves a heterogenous collection of symptoms. Network perspective views depressive symptoms as an interrelated network. The current study aimed to replicate network analyses on adolescent depression in three samples assessed with three instruments to examine the consistency of network structures and also examine the variance of networks between genders. Three samples of adolescents (total N = 4375, mean age = 15, 49.1% boys) were assessed with PHQ-9, SMFQ and CDI, respectively. Network analyses were carried out on depression symptoms. Network stability, node centrality and network comparisons between genders were examined. Three networks were reliably stable. Sadness and self-hatred were unanimously identified to be central symptoms of adolescent depression in three networks. In addition, fatigue, no good, everything wrong and loneliness also appeared to be central in specific networks. Among three depression networks, PHQ-9 network demonstrated gender difference in network structure. The current study is exploratory in nature. The differences in three networks can be due to various samples or different node inclusions. Further, the study is cross-sectional precluding causal interpretation and the samples are nonclinical. Besides "hallmark" symptom sadness, self-hatred was also identified unanimously in three networks, which demonstrated the significant role self-worth played in adolescent depression. The results also suggested that differences in node inclusion may have influence on the network structure.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12144-022-03201-z.

Indirect effects of dissociation on the relationship between lifetime PTSD symptoms and condomless sex among men who have sex with men with a history of childhood sexual abuse

Posttraumatic stress disorder (PTSD) symptoms may interfere with gay, bisexual and other men who have sex with men's (MSM) ability to engage in safe sex practices. An indirect relationship with dissociation may help to elucidate the relationship between PTSD symptom severity and condomless sex among MSM with childhood sexual abuse (CSA) histories. These relationships have not previously been examined in this group, which has a unique vulnerability for HIV acquisition. A cross-sectional sample of MSM with histories of CSA (N=290) was recruited at study sites in Boston, MA, and Miami, FL. Participants had a mean age of 37.95 years (SD=11.68), 22% were African American and 29.4% identified as Latino. The sample reported a mean of 10.47 (SD=4.38) lifetime PTSD symptoms and 26.4% met the clinical threshold for dissociation. Logistic regression models (adjusted for age, education, and substance use disorder) were used to assess indirect effects of dissociation on the relationship between lifetime PTSD symptoms and condomless anal/vaginal sex episodes with serodiscordant or unknown status partners in the past 3 months. Dissociation accounted for the association between lifetime PTSD symptom severity and condomless sex episodes. The Sobel test (Sobel = 2.04, p= .042; CI 95% bias-corrected bootstrap) suggested significant indirect effects for dissociation. Dissociation among MSM with CSA histories may compromise accurate appraisals of sexual risk and safety and increase vulnerability for HIV acquisition. Further research is warranted to address HIV prevention in the context of PTSD symptom severity to improve the mental health of MSM and increase the effectiveness of HIV prevention interventions.

Mechanisms of Mental-Health Disparities Among Minoritized Groups: How Well Are the Top Journals in Clinical Psychology Representing This Work?

We have known for decades that mental health disparities exist among minoritized groups, including race, ethnicity, sexual identities, gender identity and expression, ability, and others. Theories and frameworks that incorporate stressors unique to the experiences of minoritized groups, such as the biopsychosocial model of racism (Clark et al, 1999) and minority stress model (Meyer, 2003), offer testable mechanisms that may help explain, in part, mental health disparities. However, research addressing mechanisms of these disparities is still scarce and is not well represented in our top clinical psychology journals. This review critically examines the extent to which top tier clinical psychology journals publish work examining mechanisms of mental health disparities among minoritized populations. We find very few studies have been published in top clinical psychology journals that address mechanisms of mental health disparities. We examine potential reasons for this and discuss recommendations for future research.

Examining the relationships between emotional disorder symptoms in a mixed sample of community adults and patients: A network analysis perspective

According to the literature, comorbidity rates observed on emotional disorders are linked to how the main diagnostic classification systems have traditionally defined these disorders. This paper aims to analyze the structure of symptoms evaluated with the Inventory of Depression and Anxiety Symptoms-II (IDAS-II) with network analysis. A mixed sample (n = 2021) of 1692 community adults and 329 patients was used. 14.79% (n = 299) of the sample met the diagnostic criteria for at least one DSM-5 mental disorder and 5.29% (n = 107) had diagnostic comorbidity. The sample was randomly divided into two sub-samples: estimation sample (n = 1010) and replication sample (n  = 1011). The detection of community structures was carried out on estimation sample using the walktrap algorithm. Four local inference measures were estimated: Strength, one-step Expected Influence, two-step Expected Influence, and node predictability. Exploratory graphic analysis of modularity yielded an optimal solution of two communities on estimation sample: first linked to symptoms of depression and anxiety and second grouping symptoms of bipolar disorder and obsessive – compulsive disorder. Mania, Panic, Claustrophobia, and Low Well-Being Bridge emerged as bridge symptoms, connecting the two substructures. Networks estimated on replication subsamples did not differ significantly in structure. Dysphoria, Traumatic Intrusions and Checking and Ordering were the symptoms with greatest number of connections with rest of the network. Results sheds light on specific links between emotional disorder symptoms and provides useful information for the development of transdiagnostic interventions by identifying the influential symptoms within the internalizing spectrum.

Disentangling relationships in symptom networks using matrix permutation methods

Common outputs of software programs for network estimation include association matrices containing the edge weights between pairs of symptoms and a plot of the symptom network. Although such outputs are useful, it is sometimes difficult to ascertain structural relationships among symptoms from these types of output alone. We propose that matrix permutation provides a simple, yet effective, approach for clarifying the order relationships among the symptoms based on the edge weights of the network. For directed symptom networks, we use a permutation criterion that has classic applications in electrical circuit theory and economics. This criterion can be used to place symptoms that strongly predict other symptoms at the beginning of the ordering, and symptoms that are strongly predicted by other symptoms at the end. For undirected symptom networks, we recommend a permutation criterion that is based on location theory in the field of operations research. When using this criterion, symptoms with many strong ties tend to be placed centrally in the ordering, whereas weakly-tied symptoms are placed at the ends. The permutation optimization problems are solved using dynamic programming. We also make use of branch-search algorithms for extracting maximum cardinality subsets of symptoms that have perfect structure with respect to a selected criterion. Software for implementing the dynamic programming algorithms is available in MATLAB and R. Two networks from the literature are used to demonstrate the matrix permutation algorithms.

Association of positive psychobehavioral factors and structural disadvantage with condomless sex in men who have sex men with childhood sexual abuse histories

Previous research has highlighted both psychological and structural risk factors as correlates of condomless anal sex, a key pathway to HIV acquisition in men who have sex with men (MSM). Fewer studies have focused on positive psychobehavioral factors, which may be associated with more consistent condom use. This study hypothesized that positive psychobehavioral factors would be associated with more frequent condom use over and above psychological and structural risk factors. MSM with histories of childhood sexual abuse in Boston, MA and Miami, FL (N = 108) completed cross-sectional assessments of psychosocial, structural, and positive psychobehavioral factors. These factors were entered simultaneously in a linear regression model to examine their association with frequency of condomless sex. More recent seroadaptive behavior (B = 0.323, 95% CI = 0.055-0.590, p = .019) and receipt of government benefits to supplement income (B = 0.892, 95% CI = 0.171-1.612, p = .016) were independently associated with higher frequency of condomless sex over and above all other psychosocial, structural, and positive psychobehavioral factors. R² for the final model was 0.270. Ancillary analyses including participants taking and adherent to biomedical HIV prevention suggested an association between higher distress tolerance and lower frequency of condomless sex. Positive psychobehavioral factors may potentially lower risk for HIV in high-risk MSM; however, left unaddressed, structural disadvantage is a potent influence which may limit potential benefits.

Posttraumatic stress disorder symptoms associated with protective and risky behaviors for coronavirus disease 2019

OBJECTIVE

Psychiatric disorders increase risk for contracting coronavirus disease 2019 (COVID-19), but we know little about relationships between psychiatric symptoms and COVID-19 risky and protective behaviors. Posttraumatic stress disorder (PTSD) has been associated with increased propensity to engage in risky behaviors, but may also be associated with increased COVID-19 protective behaviors due to increased threat sensitivity and social isolation.

METHOD

We examined associations of PTSD symptoms with COVID-19-related protective and risky behaviors using data from a cross-sectional online United States study among 845 US adults in August through September 2020. PTSD symptoms (PTSD Checklist-5), sociodemographics, COVID-19-related experiences and vulnerabilities, and past 30-day engagement in 10 protective and eight risky behaviors for COVID-19 were assessed via self-report. We examined associations between PTSD symptoms and COVID-19 protective and risky behaviors with linear regressions, adjusting for covariates.

RESULTS

Probable PTSD and higher PTSD symptom severity were associated with greater engagement in protective behaviors, but also greater engagement in risky behaviors. Associations were only slightly attenuated by adjustment for COVID-19 exposures and perceived likelihood and severity of COVID-19. Associations varied by PTSD clusters: intrusions and arousal were associated with both more protective and more risky behaviors, whereas negative cognitions or mood was associated only with more risky, and avoidance only with more protective, behaviors.

CONCLUSION

Higher PTSD symptoms were associated with engagement in more protective but also more risky behaviors for COVID-19. Mental health should be considered in the design of public health campaigns dedicated to limiting infectious disease spread. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Sexual symptoms in post-traumatic stress disorder following childhood sexual abuse: a network analysis

BACKGROUND

Even though recent research indicates that sexual symptoms are highly prevalent in post-traumatic stress disorder following childhood sexual abuse and cause severe distress, current treatments neither address them nor are they effective in reducing them. This might be due to a lack of understanding of sexual symptoms' specific role in the often complex and comorbid psychopathology of post-traumatic stress disorder following childhood abuse.

METHODS

Post-traumatic, dissociative, depressive, and sexual symptoms were assessed in 445 inpatients with post-traumatic stress disorder following childhood sexual abuse. Comorbidity structure was analyzed using a partial correlation network with regularization.

RESULTS

A total of 360 patients (81%) reported difficulties engaging in sexual activities and 102 patients (23%) reported to suffer from their sexual preferences. Difficulties engaging in sexual activities were linked to depressive and hyperarousal symptoms, whereas sexual preferences causing distress were linked to anger and dissociation. Dissociative amnesia, visual intrusions, and physical reactions to trauma reminders were of central importance for the network. Dissociative amnesia, depressed mood, lack of energy, and difficulties engaging in sexual activities were identified as bridge symptoms. Local clustering analysis indicated the non-redundancy of sexual symptoms.

CONCLUSIONS

Sexual symptoms are highly prevalent in survivors of childhood sexual abuse with post-traumatic stress disorder. Further research is needed regarding the link of difficulties engaging in sexual activities, depression, and post-traumatic stress disorder, as well as regarding the association of dissociation and sexual preferences causing distress. Sexual symptoms require consideration in the treatment of post-traumatic stress disorder following childhood sexual abuse.

Network analysis of comorbid posttraumatic stress disorder and depression in adolescents across COVID-19 epidemic and Typhoon Lekima

BACKGROUND

Network analytic studies indicate that posttraumatic stress disorder (PTSD) may be comorbid with depression at the symptom level, but it remains unclear whether these findings are replicable and generalizable across trauma types.

OBJECTIVE

This study aim was to examine and compare PTSD-depression comorbidity networks of two types of trauma related to Typhoon Lekima and COVID-19 epidemic.

METHODS

Participants were 1605 and 601 adolescents recruited following Typhoon Lekima and the COVID-19 outbreak, respectively.

RESULTS

COVID-19 and Lekima PTSD-depression networks had considerable similarities, including adequate stability and accuracy, connected symptoms of PTSD and depression, symptoms with high centralities, and bridge symptoms. PTSD-depression comorbid symptoms were more complicated in the COVID-19 network but may show more persistence in the Lekima network. Distinct bridge symptoms contributed to the heterogeneity of PTSD-depression comorbidity characteristics between the two networks. Specifically, restricted affect and felt down and unhappy were two important bridge symptoms with high centrality unique to the COVID-19 network.

CONCLUSIONS

PTSD-depression comorbidity network has considerable replicability across trauma types, but specific symptom-level associations and some bridge symptoms may vary across trauma types. These findings also highlight the importance of negative emotions to comorbid PTSD and depression in adolescents following the COVID-19 outbreak compared with Typhoon Lekima.

The symptom structure of posttraumatic stress disorder and co-morbid depression among college students with childhood abuse experience: A network analysis

BACKGROUND

Posttraumatic stress disorder (PTSD) and depression are highly co-morbid among individuals with childhood abuse history, while the mechanism of the co-morbidity is highly debated. This study sought to extent the work among college students with network analysis, which is a novel method that sees the co-morbidity from a symptom interacting perspective.

METHODS

Data was collected from 476 college students who were assessed to have childhood abuse history, PTSD and depression at the same time, using Childhood Trauma Questionnaire- Short Form, PTSD Checklist for DSM-5 and The Center for Epidemiological Studies Depression. We created a Graphical Gaussian Model (GGM) network to show associations between symptom pairs and a Directed Acyclic Graph (DAG) to estimate potential casual relationships among symptoms.

RESULTS

The GGM network was reliably stable, feeling sad (Depression) and trouble experiencing positive feelings (PTSD) were the most central nodes. Trouble experiencing positive feelings and several negative affect symptoms, sleep problems and difficulty in concentrating were acting as important bridging nodes. The DAG network suggested the key triggering roles of exaggerated startle (PTSD) and several re-experiencing symptoms.

LIMITATIONS

The study used cross-sectional data and self-reported measures. Results from network analysis could be affected by scale factors and contain spurious correlations.

CONCLUSIONS

In the childhood-abuse-related co-morbid structure, several negative affect symptoms both in PTSD and depression have pivotal roles, hyper-arousal symptoms and re-experiencing symptoms could trigger the co-morbid structure. Illustrating the strength and limitations of network analysis, this study help target the potentially influential symptoms for better clinical intervention.

Development of a digital pill and respondent behavioral intervention (PrEPSteps) for HIV pre-exposure prophylaxis adherence among stimulant using men who have sex with men

The efficacy of pre-exposure prophylaxis (PrEP) for HIV prevention in men who have sex with men (MSM) is contingent upon consistent adherence. Digital pill systems (DPS) provide real-time, objective measurement of ingestions and can inform behavioral adherence interventions. Qualitative feedback was solicited from MSM who use stimulants to optimize a cognitive behavioral therapy (CBT)-based intervention (LifeSteps), used in conjunction with a DPS, to promote PrEP adherence (PrEPSteps). Seven focus groups and one individual qualitative interview were conducted in Boston, MA with cisgender, HIV-negative MSM who reported stimulant use and current PrEP use or interest. Focus groups and interviews explored reactions to the DPS and PrEPSteps messaging components: contingent reinforcement (CR), corrective feedback (CF), LifeSteps, and substance use Screening, Brief Intervention, and Referral to Treatment (SBIRT). Quantitative assessments were administered. Qualitative data were analyzed using applied thematic analysis. Twenty MSM participated. Most were White (N = 12), identified as homosexual or gay (N = 15), and college-educated (N = 15). Ages ranged from 24 to 68 years (median 35.5). Participants were willing to engage with the DPS and viewed it as beneficial for promoting adherence. Confirmatory CR messages were deemed acceptable, and a neutral tone was preferred. CF messages were viewed as most helpful and as promoting individual responsibility. LifeSteps was perceived as useful for contextualizing nonadherence. However, SBIRT was a barrier to DPS use; concerns around potential substance use stigma were reported. MSM who use stimulants were accepting of the DPS and PrEPSteps intervention. CR, CF, and LifeSteps messages were viewed as helpful, with modifications pertaining to tone and content; SBIRT messages were not preferred.

Interrelationships between depressive symptoms and positive and negative symptoms of recent onset schizophrenia spectrum disorders: A network analytical approach

OBJECTIVE

There is a need to better understand the interrelationships between positive and negative symptoms of recent-onset schizophrenia spectrum disorders (SSD) and co-occurring depressive symptoms. Aims were to determine: (1) whether depressive symptoms are best conceptualised as distinct from, or intrinsic to, positive and negative symptoms; and (2) bridging symptoms.

METHODS

Network analysis was applied to data from 198 individuals with depressive and psychotic symptoms in SSD from the Psychosis Recent Onset GRoningen Survey (PROGR-S). Measures were: Montgomery-Åsberg Depression Rating Scale and Positive and Negative Syndrome Scale.

RESULTS

Positive symptoms were just as likely to be associated with depressive and negative symptoms, and had more strong associations with depressive than negative symptoms. Negative symptoms were more likely to be associated with depressive than positive symptoms, and had more strong associations with depressive than positive symptoms. Suspiciousness and stereotyped thinking bridged between positive and depressive symptoms, and apparent sadness and lassitude between negative and depressive symptoms.

CONCLUSIONS

Depressive symptoms might be best conceptualised as intrinsic to positive and negative symptoms pertaining to deficits in motivation and interest in the psychotic phase of SSD. Treatments targeting bridges between depressive and positive symptoms, and depressive and such negative symptoms, might prevent or improve co-occurring depressive symptoms, or vice-versa, in the psychotic phase of SSD.

A network analysis investigation of the comorbidity between sleep dysfunction and PTSD symptomatology among Filipino domestic workers in Macao (SAR) China

Posttraumatic stress disorder (PTSD) is highly comorbid with sleep dysfunction. This association was previously explained based on cognitive and emotional dysfunction. The current study extends this literature by investigating the symptom level comorbidity of sleep dysfunction and DSM-5 PTSD utilizing a network approach. Participants were trauma-exposed female Filipino domestic workers (N = 1241). Network analysis was applied to 23 items: 18 items from PCL-5 measuring PTSD (Community 1) and 5 items from PSQI assessing sleep dysfunction (Community 2). The results showed that the symptoms within each community had the strongest correlations. Bridge connections were identified between the sleep dysfunction and PTSD symptom communities. Symptoms with the highest bridge strength were concentration difficulties, recklessness, irritability, and sleep disturbance. This is among the first studies investigating the comorbidity between PTSD and sleep dysfunction from the network approach. Future interventions may be developed that emphasize the bridge symptoms to address comorbidity among trauma exposed migrants.

Operationalizing Social Environments in Cognitive Aging and Dementia Research: A Scoping Review

BACKGROUND

Social environments are a contributing determinant of health and disparities. This scoping review details how social environments have been operationalized in observational studies of cognitive aging and dementia.

METHODS

A systematic search in PubMed and Web of Science identified studies of social environment exposures and late-life cognition/dementia outcomes. Data were extracted on (1) study design; (2) population; (3) social environment(s); (4) cognitive outcome(s); (5) analytic approach; and (6) theorized causal pathways. Studies were organized using a 3-tiered social ecological model at interpersonal, community, or policy levels.

RESULTS

Of 7802 non-duplicated articles, 123 studies met inclusion criteria. Eighty-four studies were longitudinal (range 1-28 years) and 16 examined time-varying social environments. When sorted into social ecological levels, 91 studies examined the interpersonal level; 37 examined the community/neighborhood level; 3 examined policy level social environments; and 7 studies examined more than one level.

CONCLUSIONS

Most studies of social environments and cognitive aging and dementia examined interpersonal factors measured at a single point in time. Few assessed time-varying social environmental factors or considered multiple social ecological levels. Future studies can help clarify opportunities for intervention by delineating if, when, and how social environments shape late-life cognitive aging and dementia outcomes.

Mapping the Presence of Anxiety Symptoms in Adults With Major Depressive Disorder

Background: Patients with major depressive disorder (MDD) often present with co-occurring anxiety symptoms. The network method provides a novel view on understanding the co-occurrence of depressive and anxiety symptoms. Thus, the purpose of our study was to explore it by applying network analysis methods. Methods: We used electronic medical records from West China Hospital in China. In total, 3,424 patients who met the criteria for MDD were included. R-studio 3.6 was used to estimate the network structure. First, we estimated the network structure of depression and anxiety symptoms using the graphic LASSO algorithm. Then, we estimated the centrality indices of nodes to determine which symptoms are more central in the network. We then estimated the bridge centrality indices using the bridge function via the R package networktools. Results: Some strong connections were found like "easy to wake up," "wake up early," and "difficulty falling asleep," "suicidal thoughts," and "hopelessness." "Depressed mood," "somatic anxiety," "hopelessness," "anxiety mood," and "tension" have the higher centrality indices. Results revealed eight bridge symptoms (e.g., concentration/memory difficulty, gastrointestinal symptoms) in the co-occurrence network structure. Conclusions: This research suggests that the described approach in mapping the presence of anxiety symptoms in individuals with major depression might potentially increase diagnostic precision and help choose more targeted interventions and potentially reduce the occurrence of treatment resistance.

Network analysis of PTSD and depressive symptoms in 158,139 treatment-seeking veterans with PTSD

BACKGROUND

In recent years, a new framework for analyzing and understanding posttraumatic stress disorder (PTSD) was introduced; the network approach. Up until now, network analysis studies of PTSD were largely conducted on small to medium sample sizes (N < 1,000), which might be a possible cause of variability in main findings. Moreover, only a limited number of network studies investigated comorbidity.

METHODS

In this study, we utilized a large sample to conduct a network analysis of 17 symptoms of PTSD (DSM-IV), and compared it to the result of a second network consisting of symptoms of PTSD and depression (based on Patient Health Questionnaire-9 [PHQ-9]). Our sample consisted of 502,036 treatment-seeking veterans, out of which 158,139 had fully completed the assessment of symptoms of PTSD and a subsample of 32,841 with valid PCL and PHQ-9 that was administered within 14 days or less.

RESULTS

Analyses found that in the PTSD network, the most central symptoms were feeling distant or cut off from others, followed by feeling very upset when reminded of the event, and repeated disturbing memories or thoughts of the event. In the combined network, we found that concentration difficulties and anhedonia are two of the five most central symptoms.

CONCLUSION

Our findings replicate the centrality of intrusion symptoms in PTSD symptoms' network. Taking into account the large sample and high stability of the network structure, we believe our study can answer some of the criticism regarding stability of cross-sectional network structures.

The Network Theory of Psychiatric Disorders: A Critical Assessment of the Inclusion of Environmental Factors

Borsboom and colleagues have recently proposed a "network theory" of psychiatric disorders that conceptualizes psychiatric disorders as relatively stable networks of causally interacting symptoms. They have also claimed that the network theory should include non-symptom variables such as environmental factors. How are environmental factors incorporated in the network theory, and what kind of explanations of psychiatric disorders can such an "extended" network theory provide? The aim of this article is to critically examine what explanatory strategies the network theory that includes both symptoms and environmental factors can accommodate. We first analyze how proponents of the network theory conceptualize the relations between symptoms and between symptoms and environmental factors. Their claims suggest that the network theory could provide insight into the causal mechanisms underlying psychiatric disorders. We assess these claims in light of network analysis, Woodward's interventionist theory, and mechanistic explanation, and show that they can only be satisfied with additional assumptions and requirements. Then, we examine their claim that network characteristics may explain the dynamics of psychiatric disorders by means of a topological explanatory strategy. We argue that the network theory could accommodate topological explanations of symptom networks, but we also point out that this poses some difficulties. Finally, we suggest that a multilayer network account of psychiatric disorders might allow for the integration of symptoms and non-symptom factors related to psychiatric disorders and could accommodate both causal/mechanistic and topological explanations.

Disordered eating, self-esteem, and depression symptoms in Iranian adolescents and young adults: A network analysis

OBJECTIVE

The network theory of psychopathology examines networks of interconnections across symptoms. Several network studies of disordered eating have identified central and bridge symptoms in Western samples, yet network models of disordered eating have not been tested in non-Western samples. The current study tested a network model of disordered eating in Iranian adolescents and college students, as well as models of co-occurring depression and self-esteem.

METHOD

Participants were Iranian college students (n= 637) and adolescents (n = 1,111) who completed the Eating Disorder Examination-Questionnaire (EDE-Q), Rosenberg Self-Esteem Scale (RSES) and Beck Depression Inventory, Second Edition (BDI-II). We computed six Glasso networks and identified central and bridge symptoms.

RESULTS

Central disordered eating nodes in most models were a desire to lose weight and discomfort when seeing one's own body. Central self-esteem and depression nodes were feeling useless and self-dislike, respectively. Feeling like a failure was the most common bridge symptom between disordered eating and depression symptoms. With exception of a few differences in some edges, networks did not significantly differ in structure.

DISCUSSION

Desire to lose weight was the most central node in the networks, which is consistent with sociocultural theories of disordered eating development, as well as prior network models from Western-culture samples. Feeling like a failure was the most central bridge symptom between depression and disordered eating, suggesting that very low self-esteem may be a shared correlate or risk factor for disordered eating and depression in Iranian adolescents and young adults.

Psychiatric comorbidity of developmental trauma disorder and posttraumatic Stress disorder: findings from the DTD field trial replication (DTDFT-R)

Background: Developmental Trauma Disorder (DTD) has extensive comorbidity with internalizing and externalizing disorders distinct from posttraumatic stress disorder (PTSD). Objective: To replicate findings of DTD comorbidity and to determine whether this comorbidity is distinct from, and extends beyond, comorbidities of PTSD. Method: DTD was assessed by structured interview, and probable DSM-IV psychiatric disorders were identified with KSADS-PL screening modules, in a multi-site sample of 271 children (ages 8-18 years old; 47% female) in outpatient or residential mental health treatment for multiple (M = 3.5 [SD = 2.4]) psychiatric diagnoses other than PTSD or DTD. Results: DTD (N = 74, 27%) and PTSD (N = 107, 39%) were highly comorbid and shared several DSM-IV internalizing and externalizing disorder comorbidities. Children with DTD with or without PTSD had more comorbid diagnoses (M = 5.7 and 5.2 [SD = 2.4 and 1.7], respectively) than children with PTSD but not DTD (M = 3.8[SD = 2.1]) or neither PTSD nor DTD (M = 2.1[SD = 1.9]), F[3,267] = 55.49, p < .001. Further, on a multivariate basis controlling for demographics and including all potential comorbid disorders, DTD was associated with separation anxiety disorder, depression, and oppositional defiant disorder after controlling for PTSD, while PTSD was associated only with separation anxiety disorder after controlling for DTD. Both DTD and PTSD were associated with suicidality. Conclusions: DTD is associated with psychiatric comorbidity beyond that of PTSD, and DTD warrants assessment for treatment planning with children in intensive psychiatric services.

Comorbidity between depression and anxiety: assessing the role of bridge mental states in dynamic psychological networks

BACKGROUND

Comorbidity between depressive and anxiety disorders is common. A hypothesis of the network perspective on psychopathology is that comorbidity arises due to the interplay of symptoms shared by both disorders, with overlapping symptoms acting as so-called bridges, funneling symptom activation between symptom clusters of each disorder. This study investigated this hypothesis by testing whether (i) two overlapping mental states "worrying" and "feeling irritated" functioned as bridges in dynamic mental state networks of individuals with both depression and anxiety as compared to individuals with either disorder alone, and (ii) overlapping or non-overlapping mental states functioned as stronger bridges.

METHODS

Data come from the Netherlands Study of Depression and Anxiety (NESDA). A total of 143 participants met criteria for comorbid depression and anxiety (65%), 40 participants for depression-only (18.2%), and 37 for anxiety-only (16.8%) during any NESDA wave. Participants completed momentary assessments of symptoms (i.e., mental states) of depression and anxiety, five times a day, for 2 weeks (14,185 assessments). First, dynamics between mental states were modeled with a multilevel vector autoregressive model, using Bayesian estimation. Summed average lagged indirect effects through the hypothesized bridge mental states were compared between groups. Second, we evaluated the role of all mental states as potential bridge mental states.

RESULTS

While the summed indirect effect for the bridge mental state "worrying" was larger in the comorbid group compared to the single disorder groups, differences between groups were not statistically significant. The difference between groups became more pronounced when only examining individuals with recent diagnoses (< 6 months). However, the credible intervals of the difference scores remained wide. In the second analysis, a non-overlapping item ("feeling down") acted as the strongest bridge mental state in both the comorbid and anxiety-only groups.

CONCLUSIONS

This study empirically examined a prominent network-approach hypothesis for the first time using longitudinal data. No support was found for overlapping mental states "worrying" and "feeling irritable" functioning as bridge mental states in individuals vulnerable for comorbid depression and anxiety. Potentially, bridge mental state activity can only be observed during acute symptomatology. If so, these may present as interesting targets in treatment, but not prevention. This requires further investigation.

Comorbidity Networks in Cardiovascular Diseases

Background: Cardiovascular diseases are the leading causes of mortality worldwide. One reason behind this lethality lies in the fact that often cardiovascular illnesses develop into systemic failure due to the multiple connections to organismal metabolism. This in turn is associated with co-morbidities and multimorbidity. The prevalence of coexisting diseases and the relationship between the molecular origins adds to the complexity of the management of cardiovascular diseases and thus requires a profound knowledge of the genetic interaction of diseases. Objective: In order to develop a deeper understanding of this phenomenon, we examined the patterns of comorbidity as well as their genetic interaction of the diseases (or the lack of evidence of it) in a large set of cases diagnosed with cardiovascular conditions at the national reference hospital for cardiovascular diseases in Mexico. Methods: We performed a cross-sectional study of the National Institute of Cardiology. Socioeconomic information, principal diagnosis that led to the hospitalization and other conditions identified by an ICD-10 code were obtained for 34,099 discharged cases. With this information a cardiovascular comorbidity networks were built both for the full database and for ten 10-years age brackets. The associated cardiovascular comorbidities modules were found. Data mining was performed in the comprehensive ClinVar database with the disease names (as extracted from ICD-10 codes) to establish (when possible) connections between the genetic associations of the genetic interaction of diseases. The rationale is that some comorbidities may have a stronger genetic origin, whereas for others, the environment and other factors may be stronger. Results: We found that comorbidity networks are highly centralized in prevalent diseases, such as cardiac arrhythmias, heart failure, chronic kidney disease, hypertension, and ischemic diseases. Said comorbidity networks are actually modular on their connectivity. Modules recapitulate physiopathological commonalities, e.g., ischemic diseases clustering together. This is also the case of chronic systemic diseases, of congenital malformations and others. The genetic and environmental commonalities behind some of the relations in these modules were also found by resorting to clinical genetics databases and functional pathway enrichment studies. Conclusions: This methodology, hence may allow the clinician to look up for non-evident comorbidities whose knowledge will lead to improve therapeutically designs. By continued and consistent analysis of these types of patterns, we envisaged that it may be possible to acquire, strong clinical and basic insights that may further our advance toward a better understanding of cardiovascular diseases as a whole. Hopefully these may in turn lead to further development of better, integrated therapeutic strategies.

Connecting the dots: a comparison of network analysis and exploratory factor analysis to examine psychosocial syndemic indicators among HIV-negative sexual minority men

Syndemics, or comorbid and mutually reinforcing psychosocial problems, are associated with increased HIV risk among men who have sex with men (MSM). Although the dynamic interplay among syndemic indicators is theorized to be crucial for increasing risk of HIV acquisition, novel approaches are needed to understand how these syndemic problems interrelate. This study examined the associations between nine self-reported syndemic indicators in 194 MSM at high risk of HIV acquisition. We compared exploratory factor analyses (EFA) to a network analysis. In the present study, network analysis consisted of edges representing bidirectional partial polychoric correlations between nodes, which represent psychosocial syndemic indicators. EFA yielded a 1-factor solution including suicidal ideation (SI), injection drug use (IDU), depression, social anxiety, intimate partner violence, substance use, and sexual compulsivity, and excluded heavy drinking and childhood sexual abuse. Network analysis yielded a pattern of interconnectedness with the most central nodes being SI, IDU, substance use, and depression. Statistically significant relationships (absolute edge weights) were found between SI and depression, social anxiety, and IDU, and IDU and substance use. These results suggest that depression and substance use, especially more severe presentations of these conditions such as SI and IDU, are prominent interconnected components of the HIV syndemic among MSM at high risk for HIV acquisition. SI, IDU, substance use, and depression may indeed be prudent targets of intervention. Future research on the inclusion of these syndemic indicators in analytical models involving interaction terms may be warranted.

A network analysis of posttraumatic stress disorder and dissociation in trauma-exposed adolescents

Posttraumatic stress disorder (PTSD) and dissociation have long been recognized to co-occur, leading the DSM-5 to introduce a dissociative subtype of PTSD into its nomenclature. Most research to date on the dissociative subtype has focused on adults. The current study aimed to extend this research to an adolescent sample and to examine symptom-level associations between PTSD and dissociation using network analysis. The analysis was conducted with 448 trauma-exposed detained US adolescents (24.55% female; mean age 15.98 ± 1.25 years). A network consisting of 20 DSM-5 PTSD symptoms was constructed, followed by a network consisting of 20 PTSD symptoms and five dissociative items. Expected influence bridge centrality was estimated to examine items with the most/strongest cross-construct connections (i.e. between PTSD and dissociation). The PTSD symptoms concentration problems, amnesia and recurrent memories and the dissociative items depersonalization, derealisation and can't remember things that happened had the highest bridge centrality values. These symptom-level associations extend our understanding of the PTSD-dissociation relationship by pointing to specific symptoms of PTSD and dissociation that may drive the co-morbidity between the two constructs. These findings may inform future intervention efforts.

Examining a Syndemics Network Among Young Latino Men Who Have Sex with Men

BACKGROUND

Although studies consistently find that syndemic indicators are additively associated with increased HIV/STI risk behavior (e.g., condomless anal sex; CAS) among men who have sex with men (MSM), information is lacking about how syndemic indicators are associated with each other. Young Latino MSM are one of the most at-risk groups for acquiring HIV in the U.S. Understanding the associations of syndemic indicators with each other and with CAS may improve understanding of how to enhance sexual and behavioral health in this population.

METHOD

Network analysis using the graphical LASSO (glasso) algorithm was employed to explore associations between CAS and syndemic indicators among 139 young Latino MSM. Structural and psychosocial syndemic indicators were assessed via self-report. CAS was defined as the number of partners in the past 3 months with whom one engaged in CAS.

RESULTS

Results of the network analysis suggested the variables with the highest centrality were unstable housing, prison history, childhood sexual abuse, and CAS. Specific significant associations included links between CAS and alcohol use (b = 0.40), childhood sexual abuse and unstable housing (b = - 0.75), alcohol use and childhood sexual abuse (b = 0.40), and substance use and intimate partner violence (b = 0.43).

CONCLUSION

This pattern of interconnectedness demonstrates the potential for network analysis to examine nuanced interrelationships of syndemic indicators. The specific associations in this sample raise the question whether a primary focus of interventions should address the more central syndemic indicators for this population, such as alcohol use and unstable housing, and whether this would, via downstream effects, affect other aspects of behavioral health in this population.

Dynamic Network Analysis of Negative Emotions and DSM-5 Posttraumatic Stress Disorder Symptom Clusters During Conflict

Investigating dynamic associations between specific negative emotions and PTSD symptom clusters may provide novel insights into the ways in which PTSD symptoms interact with, emerge from, or are reinforced by negative emotions. The present study estimated the associations among negative emotions and the four DSM-5 PTSD symptom clusters (intrusions, avoidance, negative alterations in cognitions and mood [NACM], and arousal) in a sample of Israeli civilians (n = 96) during the Israel-Gaza War of July-August 2014. Data were collected using experience sampling methodology, with participants queried via smartphone about PTSD symptoms and negative emotions twice a day for 30 days. We used a multilevel vector auto-regression model to estimate temporal and contemporaneous temporal networks. Contrary to our hypothesis, in the temporal network, PTSD symptom clusters were more predictive of negative emotions than vice versa, with arousal emerging as the strongest predictor that negative emotions would be reported at the next measurement point; fear and sadness were also strong predictors of PTSD symptom clusters. In the contemporaneous network, negative emotions exhibited the strongest associations with the NACM and arousal PTSD symptom clusters. The negative emotions of sadness, stress, fear, and loneliness had the strongest associations to the PTSD symptom clusters. Our findings suggest that arousal has strong associations to both PTSD symptoms and negative emotions during ongoing trauma and highlights the potentially relevant role of arousal for future investigations in primary or early interventions.

Addressing Minority Stress and Mental Health among Men Who Have Sex with Men (MSM) in China

PURPOSE OF REVIEW

Men who have sex with men (MSM) in China experience elevated risks of mental health issues in comparison to the general population in China, which contribute to vulnerability to HIV/STI risks and can comprise the effectiveness of HIV prevention efforts. A conceptual framework for understanding this mental health disparity is minority stress theory, which posits that experiences of external prejudice events (i.e., distal stressors) and internal stress processes such as internalized homophobia and concealment (i.e., proximal stressors) contribute to sexual minorities' elevated risk of psychological distress. To deepen the understanding of mental health among Chinese MSM and explore the potential utility of minority stress theory in this population, this paper synthesizes research evidence regarding prevalent mental health issues as well as how minority stress may be linked to psychological health in Chinese MSM.

RECENT FINDINGS

Results indicate that Chinese MSM experience a high prevalence of several mental health issues including depression, anxiety, suicidal behaviors, and alcohol dependence. This review further reveals minority stress to be an important determinant of psychological distress among Chinese MSM, though evidence is mixed regarding the relationship between proximal minority stress and psychological health. Nonetheless, there is a lack of mental health services and interventions focusing on MSM in China. Culturally relevant, competent, and LGBT-affirmative mental health interventions are needed for Chinese MSM. To guide future intervention research, we provide considerations for reducing minority stress and promoting psychological health among Chinese MSM.

Introduction to the Special Issue: Network Analysis of Traumatic Stress

Network analysis has emerged as a promising new statistical methodology for traumatic stress studies. The present special issue of the Journal of Traumatic Stress amalgamates the reports of 10 studies that employed network analysis to further the field's understanding of traumatic stress. The current issue includes reports of network analyses that sought to better understand the impact of different kinds of traumatic events, including childhood and gender-based trauma exposure, on PTSD symptomatology as defined under the DSM-5 and ICD-11, and examined the relation between PTSD symptoms and trauma-related dissociative experiences as well as the impact of psychological treatment on trauma recovery. A variety of research designs from a diverse group of international samples were employed, including concurrent, longitudinal, experience-sampling, and treatment outcome studies. Finally, a commentary on the articles included in this special issue was provided by Dr. Carl Weems.

Posttraumatic Stress Disorder Symptoms and Reckless Behaviors: A Network Analysis Approach

Existing literature indicates a theoretical and empirical relation between engagement in reckless behaviors and posttraumatic stress disorder (PTSD). Thus, the DSM-5 revision of the PTSD nosology added a new "reckless or self-destructive behavior" (RSDB) symptom (Criterion E2). The current study applied a network analytic approach to examine the item-level relations among a range of reckless behaviors and PTSD symptom clusters. Participants were recruited from Amazon's Mechanical Turk (N = 417), and network analysis was conducted with 20 variables: six PTSD symptom clusters, corresponding to the hybrid model of PTSD (Armour et al., 2015) and excluding the externalizing behavior cluster (Community 1), and 14 items related to reckless behavior (Community 2). The results showed that the network associations were strongest within each construct (i.e., within PTSD and within reckless behaviors), although several bridge connections (i.e., between PTSD clusters and reckless behaviors) were identified. Most reckless behavior items had direct associations with one or more PTSD symptom clusters. The present findings support the existence of close relations between a variety of reckless behaviors and PTSD symptom clusters beyond their relations with DSM Criterion E2. The results provide testable hypotheses about the associations between specific reckless behaviors and PTSD symptom clusters, which may inform future research.

Measurement and mental health disparities: Psychopathology classification and identity assessment

Mental health disparities research compares groups of individuals with regard to their mental health status, and numerous studies have reported significant and burdensome disparities across populations. This literature is based almost entirely on traditional mental disorder constructs (e.g. major depressive disorder and borderline personality disorder) as defined by official nosologies, but these disorders are associated with numerous problems of reliability and validity. Advances in psychopathology classification research have converged on an alternative conceptualization of mental disorder structure, which comprises a set of transdiagnostic dimensions that cut across traditional diagnostic boundaries and overcome the limitations of traditional diagnoses. The application of these dimensions, particularly those of the hierarchical taxonomy of psychopathology model, holds great promise for mental health disparities research. Measurement considerations associated with these transdiagnostic dimensions, as well as participants' intersecting identities, are discussed. Incorporation of these measurement advances with statistical advances allows for the generation and testing of unique hypotheses related to minority stressors that may give rise to observed disparities. © 2019 John Wiley & Sons, Ltd.

Associations between moral injury, PTSD clusters, and depression among Israeli veterans: a network approach

Background: Moral Injury (MI) is one of the adverse consequences of combat. Following exposure to potentially morally injurious events (PMIEs)--events perceived as violations of deep moral beliefs by oneself or trusted individuals--a significant minority of veterans could develop posttraumatic stress disorder (PTSD) and depression. Objective: The current study represents the first attempt to apply a network analysis model to examine an exploratory empirical conceptualization of a network of PMIEs during military service, post-traumatic stress disorder (PTSD) symptom clusters, depression, and combat exposure among Israel Defence Forces veterans. Method: A volunteer sample of 191 Israeli combat veterans were recruited during 2017, and completed validated self-report questionnaires tapping PMIEs, PTSD, and depression in a cross-sectional design study. A regularized Gaussian graphical model was estimated. Results: Network analysis revealed strong bridge associations between the PTSD nodes and most of the PMIEs nodes. The nodes of PMIE-betrayal and PTSD negative alterations in cognitions and mood (NACM) symptom cluster were found to have a bridging function between other PMIEs and PTSD. Depression was found to be connected to most of the PMIEs and PTSD nodes. Conclusions: The study's findings offer an overview of the complex relationships between PMIEs and PTSD clusters among Israeli veterans. PMIEs--notably, betrayal-based experiences--are related to PTSD clusters directly and through depressive symptoms. Some possible mechanisms for the links between PMIEs and PTSD and the clinical implications related to specific interventions are discussed.

New findings questioning the construct validity of complex posttraumatic stress disorder (cPTSD): let's take a closer look

This commentary provides a broader context for interpreting evidence from Latent Class and Latent Profile analyses on complex posttraumatic stress disorder (CPTSD) that was provided in a recent contribution to the European Journal of Psychotraumatology. These data analytic strategies are not alone sufficient to test the construct validity of CPTSD. They base their conclusion on the empirical finding of substantial variation in latent models obtained with different analytic procedures and interpretations of the fit of different latent models, as well as interesting additional evidence of dispersion when individual patients' symptom counts and symptom severity scores on PTSD and CPTSD are examined. However, the results of their analyses actually do provide support for one feature of construct validity, demonstrating discriminant validity by showing a consistent differentiation between PTSD and CPTSD (with expectable variation in both PTSD and CPTSD severity level by persons). Even in a sample of patients diagnosed with PTSD, there may be a Disorders of Self Organization (DSO) sub-group with low PTSD symptom severity. More detailed examination of which DSO symptoms and sub-domains characterize the DSO sub-group and the CPTSD sub-group is needed in order to clarify the nature of the DSO/CPTSD construct. Other analyses needed to fully test construct validity also are described.

Network structure of anticipatory pleasure and risk features: Evidence from a large college sample

Investigating the relationship between anticipatory pleasure deficits and risk features of mental disorders not only theoretically benefits the understanding of anhedonia, but could also facilitate early detection and intervention of mental disorders. Using network analysis, the present study examined the pattern of relationship between anticipatory pleasure and risk features of schizophrenia spectrum, depressive, anxiety, autism spectrum, and obsessive-compulsive disorders in a large sample of college students (n = 2152). It was found that interpersonal features of schizotypal personality traits and poor social skills of autistic traits showed strong correlation with low social anticipatory pleasure. Depressive symptoms severity was weakly associated with reduced abstract anticipatory pleasure, while obsessive-compulsive traits were weakly associated with high contextual anticipatory pleasure. No significant correlation was found between anxiety symptoms severity and anticipatory pleasure. Social anticipatory pleasure had the highest strength centrality among all anticipatory pleasure components, while interpersonal features of schizotypal personality traits had the highest strength centrality in the whole network. Our findings suggest that impaired anticipatory pleasure, especially social anticipatory pleasure, is a particular feature of schizotypal personality traits and autistic traits. Our findings may have implications for intervention in that the social component may be a target to improve anhedonia in individuals with schizotypal and autistic traits, while interpersonal features may be a key treatment target given that it was central to the relationship between anticipatory pleasure and risk features.

The Differential Role of Central and Bridge Symptoms in Deactivating Psychopathological Networks

The network model of psychopathology suggests that central and bridge symptoms represent promising treatment targets because they may accelerate the deactivation of the network of interactions between the symptoms of mental disorders. However, the evidence confirming this hypothesis is scarce. This study re-analyzed a convenience sample of 51 cross-sectional psychopathological networks published in previous studies addressing diverse mental disorders or clinically relevant problems. In order to address the hypothesis that central and bridge symptoms are valuable treatment targets, this study simulated five distinct attack conditions on the psychopathological networks by deactivating symptoms based on two characteristics of central symptoms (degree and strength), two characteristics of bridge symptoms (overlap and bridgeness), and at random. The differential impact of the characteristics of these symptoms was assessed in terms of the magnitude and the extent of the attack required to achieve a maximum impact on the number of components, average path length, and connectivity. Only moderate evidence was obtained to sustain the hypothesis that central and bridge symptoms constitute preferential treatment targets. The results suggest that the degree, strength, and bridgeness attack conditions are more effective than the random attack condition only in increasing the number of components of the psychopathological networks. The degree attack condition seemed to perform better than the strength, bridgeness, and overlap attack conditions. Overlapping symptoms evidenced limited impact on the psychopathological networks. The need to address the basic mechanisms underlying the structure and dynamics of psychopathological networks through the expansion of the current methodological framework and its consolidation in more robust theories is stressed.

The Study of Psychopathology from the Network Analysis Perspective: A Systematic Review

BACKGROUND

Network analysis (NA) is an analytical tool that allows one to explore the map of connections and eventual dynamic influences among symptoms and other elements of mental disorders. In recent years, the use of NA in psychopathology has rapidly grown, which calls for a systematic and critical analysis of its clinical utility.

METHODS

Following PRISMA guidelines, a systematic review of published empirical studies applying NA in psychopathology, between 2010 and 2017, was conducted. We included the literature published in PubMed and PsycINFO using as keywords any combination of "network analysis" with the terms "anxiety," "affective disorders," "depression," "schizophrenia," "psychosis," "personality disorders," "substance abuse" and "psychopathology."

RESULTS

The review showed that NA has been applied in a plethora of mental disorders in adults (i.e., 13 studies on anxiety disorders; 19 on mood disorders; 7 on psychosis; 1 on substance abuse; 1 on borderline personality disorder; 18 on the association of symptoms between disorders), and 6 on childhood and adolescence.

CONCLUSIONS

A critical examination of the results of each study suggests that NA helps to identify, in an innovative way, important aspects of psychopathology like the centrality of the symptoms in a given disorder as well as the mutual dynamics among symptoms. Yet, despite these promising results, the clinical utility of NA is still uncertain as there are important limitations on the analytic procedures (e.g., reliability of indices), the type of data included (e.g., typically restricted to secondary analysis of already published data), and ultimately, the psychometric and clinical validity of the results.

The symptoms at the center: Examining the comorbidity of posttraumatic stress disorder, generalized anxiety disorder, and depression with network analysis

Comorbid mental health disorders are highly common in trauma-exposed individuals with posttraumatic stress disorder (PTSD), depression, and generalized anxiety disorder (GAD) among the most common co-occurring conditions. Network models of psychopathology offer a novel method to understand how this comorbidity manifests. The present study examined the presence of symptom communities (groups of highly connected symptoms) within a network of these disorders and hub symptoms (symptoms that connect such communities). Cross-sectional data were obtained from a community sample (N = 1184) of trauma exposed adults. Network analyses identified 5 communities: 1 containing all depression and GAD symptoms and 4 for PTSD. The PTSD communities corresponded to symptoms of intrusion and avoidance, hyperarousal, dysphoria, and negative affect. These communities had varying levels of connectivity to the Depression & GAD community. Symptoms of GAD (inability to relax) and PTSD (restricted or diminished positive emotion) were identified as key hub symptoms for the network. The results suggest symptoms of depression and GAD are highly interrelated and that PTSD is heterogeneous. The comorbidity among these diagnoses is thought to stem from their overlap with negative affect.

Trauma Memory Processing in Posttraumatic Stress Disorder Psychotherapy: A Unifying Framework

Trauma memory processing (TMP) is an empirically supported approach to psychotherapy for posttraumatic stress disorder (PTSD). However, TMP is not a single, uniform intervention but instead a paradigm that can be operationalized through a variety of component procedures that have not been systematically elucidated and formally tested. Based on findings from phenomenological/structural and neuroimaging research, a central feature of PTSD is theorized to be the involuntary immersion in trauma memories with diminished awareness or negative appraisals of self and current context. Such intrusive reexperiencing-which is epitomized by, but not limited to, flashbacks-is postulated to underlie PTSD's avoidance, altered emotions and cognitions, dissociative, and hyperarousal/hypervigilance symptoms; it is thus a logical target for TMP. The varied approaches to TMP for PTSD are conceptualized as having the common goal of activation of the neural networks in the brain that underlie two key capacities disrupted by intrusive reexperiencing in PTSD: intentional self-referential retrieval of memories and suppression of memory retrieval. Therefore, TMP is postulated to involve two core functions (purposeful reflective remembering and memory awareness in situ) and three essential types (in vivo, imaginal, and cognitive reappraisal). Several implications of this framework for clinical practice and research on TMP for PTSD are discussed.