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

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.

The "triple whammy": Serious psychological distress, suicidal ideation, and substance misuse among transgender persons

PURPOSE

This paper examines the conjoint effects of serious psychological distress, suicidal ideation, and substance abuse among transgender adults. The principal aims are to determine the prevalence of this "triple whammy," identify the factors underlying the co-occurrence of all three problems, and to determine if there is evidence of syndemic effects underlying the "triple whammy."

METHODS

Data from the 2015 U.S. National Transgender Survey were used to examine the "triple whammy" relationship in a sample of 27,715 transgender Americans aged 18 or older. Odds ratios and multivariate logistic regression were performed to examine the data.

RESULTS

13.3 % of the study participants reported experiencing serious psychological distress, suicidal ideation, and substance abuse. The most potent predictors of the "triple whammy" were younger age, a greater number of anti-transgender experiences, and not reaching various transition milestones. Strong evidence emerged to indicate the presence of syndemic effects in operation.

CONCLUSIONS

Experiencing the combination of adverse mental health and substance abuse was not uncommon in this population of transgender adults. Being young, experiencing a larger variety of types of anti-transgender discrimination, harassment, and violence, and not reaching specific transition milestones all had a significant impact on the odds that people would experience the "triple whammy." This was particularly true when these measures were examined in conjunction with one another, because of strong syndemic effects.

Differential network interactions between psychosocial factors, mental health, and health-related quality of life in women and men

Psychosocial factors affect mental health and health-related quality of life (HRQL) in a complex manner, yet gender differences in these interactions remain poorly understood. We investigated whether psychosocial factors such as social support and personal and work-related concerns impact mental health and HRQL differentially in women and men during the first year of the COVID-19 pandemic. Between June and October 2020, the first part of a COVID-19-specific program was conducted within the "Characteristics and Course of Heart Failure Stages A-B and Determinants of Progression (STAAB)" cohort study, a representative age- and gender-stratified sample of the general population of Würzburg, Germany. Using psychometric networks, we first established the complex relations between personal social support, personal and work-related concerns, and their interactions with anxiety, depression, and HRQL. Second, we tested for gender differences by comparing expected influence, edge weight differences, and stability of the networks. The network comparison revealed a significant difference in the overall network structure. The male (N = 1370) but not the female network (N = 1520) showed a positive link between work-related concern and anxiety. In both networks, anxiety was the most central variable. These findings provide further evidence that the complex interplay of psychosocial factors with mental health and HRQL decisively depends on gender. Our results are relevant for the development of gender-specific interventions to increase resilience in times of pandemic crisis.

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.

Anxiety and Compulsive Sexual Behavior Disorder: A Systematic Review

The inclusion of the novel diagnosis of Compulsive Sexual Behavior Disorder in the forthcoming 11^th edition of the International Classification of Diseases has spurred increasing interest in the clinical profile of the disorder. Such attention has included a focus on potential comorbidities, risk factors, or symptoms resulting from such behaviors, including anxiety. Anxiety disorders have long been noted as comorbid with many other diagnoses, such as posttraumatic stress disorder, obsessive compulsive disorder, and substance use disorders. This review aims to understand the relationship between anxiety and compulsive sexual behavior in adults and adolescents, based on available quantitative studies. A search of PsycInfo and PubMed revealed 40 studies which quantitatively assessed a relationship between an anxiety measure and a Compulsive Sexual Behavior Disorder measure, including dissertations and published articles using clinical and community samples. A qualitative synthesis and risk of bias analysis of the studies was conducted, rather than a meta-analysis, due to the variety of methods. Overall, studies were primarily cross-sectional and the relationship between these two constructs was unclear, likely due to several factors, including inconsistent measurement of Compulsive Sexual Behavior Disorder, lack of gender diversity, and very little longitudinal data. Directions for future research are discussed.

Using Network Analysis to Assess the Effects of Trauma, Psychosocial, and Socioeconomic Factors on Health Outcomes Among Black Women Living with HIV

Black women living with HIV (BWLWH) face intersectional adversities impacting their wellbeing. This study utilized network analysis to assess the associations among adversities linked to racism, sexism, HIV stigma, and socioeconomic status (income, housing, education) and determine which adversities predict mental health outcomes, HIV viral load, and medication adherence more consistently among BWLWH. 119 BWLWH aged 18 years or older completed self-report measures on sociodemographics, adversity factors, and mental health outcomes. Viral load count was obtained through blood draws, and medication adherence was measured via Wisepill adherence monitoring device. Multiple regression analysis was used to assess if the more central factors in the network also predicted health outcomes more consistently than the less central factors. The four most central factors in the network were income, housing, gendered racial microaggression (GRM) frequency, and GRM appraisal. Multiple regression analysis revealed that GRM frequency, GRM appraisal, and the number of traumas contributed uniquely and were positively associated with both depressive symptoms and posttraumatic stress disorder symptoms. HIV-related discrimination contributed uniquely and was positively associated with HIV viral load.

A Cognitive Systems Engineering Approach Using Unsupervised Fuzzy C-Means Technique, Exploratory Factor Analysis and Network Analysis-A Preliminary Statistical Investigation of the Bean Counter Profiling Scale Robustness

A bean counter is defined as an accountant or economist who makes financial decisions for a company or government, especially someone who wants to severely limit the amount of money spent. The rise of the bean counter in both public and private companies has motivated us to develop a Bean Counter Profiling Scale in order to further depict this personality typology in real organizational contexts. Since there are no scales to measure such traits in personnel, we have followed the methodological steps for elaborating the scale's items from the available qualitative literature and further employed a cognitive systems engineering approach based on statistical architecture, employing cluster, factor and items network analysis to statistically depict the best mathematical design of the scale. The statistical architecture will further employ a hierarchical clustering analysis using the unsupervised fuzzy c-means technique, an exploratory factor analysis and items network analysis technique. The network analysis which employs the use of networks and graph theory is used to depict relations among items and to analyze the structures that emerge from the recurrence of these relations. During this preliminary investigation, all statistical techniques employed yielded a six-element structural architecture of the 68 items of the Bean Counter Profiling Scale. This research represents one of the first scale validation studies employing the fuzzy c-means technique along with a factor analysis comparative design.

Nonmedical Social Determinants, Syndemic Conditions, and Suicidal Thoughts and Behaviors in a Treatment-seeking Community Sample: A Latent Class Analysis

OBJECTIVE

Knowledge gaps remain regarding whether syndemic conditions identify treatment-seeking individuals most at risk for suicidal thoughts and behaviors (STB). We employed latent class analysis to: (1) model treatment-seeking individuals' syndemic conditions, (2) examine latent classes across nonmedical social determinants, and (3) assess associations between class membership and STB.

METHOD

Participants were 982 individuals presenting at a community mental health clinic between October 2014 and February 2020. The three-step latent class analytic approach was used. Regression analyses were employed to examine nonmedical social determinants and STB outcomes associated with class membership.

RESULTS

Participants were aged 18 to >72 (75.8% White; 76.7% heterosexual; 53.7% cisgender woman; 73.8% earned ≥$20,000 annually). Latent class analysis resulted in a three-class solution. Participants in Class 1 were characterized by low probabilities across syndemic conditions. Class 2 was characterized by high probabilities of anxiety and depression. Class 3 was characterized by high probabilities of eating disorders, anxiety, and depression. Participants of color, sexual minority participants, cisgender women, and those experiencing financial distress were more likely to be in classes characterized by syndemic conditions. Classes characterized by syndemic conditions, relative to no syndemic conditions, were associated with greater risk of STB.

CONCLUSION

Findings confirm the concentrated clustering of co-occurring syndemic conditions among marginalized groups and highlight differing risks for those considering suicide or who have attempted suicide vs. those engaging in self-harm. Results underscore the need for resource allocation and multilevel interventions targeting syndemic conditions and suicidality for minority populations and those experiencing financial distress.

Mapping the current knowledge in syndemic research applied to men who have sex with men: A scoping review

Men who have sex with Men (MSM) represent a population affected by numerous health conditions. Syndemic theory has been used as a framework to study the health of MSM for nearly 20 years. However, the literature is plagued by a lack of consensus regarding what constitutes a synergy in a syndemic and recent reviews have shown that most of the papers published thus far have failed to demonstrate a synergy nor describe the bio-social interaction needed to account for a true syndemic. Moreover, to our knowledge, none of the existing reviews have focused specifically on MSM. This scoping review aims to fill this gap by mapping in detail how syndemic research on MSM has been conducted. A systematic database search was conducted between 2020 and 2021 and 115 studies were included. Our findings showed a lack of diversity regarding the location, design, subpopulation, and outcomes studied. In addition, the syndemic conditions, as well as their measurement, were not focused enough to ensure the robustness and reproducibility of the findings. Furthermore, our results support previous reviews showing a lack of empirical data to support disease interaction in syndemic research applied to MSM. Our review offers some important recommendations to help move the field forward in future work and describes some promising methodological advances.

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.

Enhancing Informed Decisions for Coastal Groundwater Sustainability: A Network Analysis of Water-Related Indicator Results from 122 Cities

In many places around the globe, groundwater has been threatened by various pressures, which calls for better management strategies for groundwater sustainability. In this study, we suggest a novel framework for identifying factors critical to coastal groundwater based on results from City Blueprint (CB) assessments. By compiling the 5856 indicator results of the City Blueprint Approach (CBA) from 122 cities and analyzing the correlation between these indicators, we constructed City Blueprint networks (CBN) by using a complex network modeling approach for three groups of cities: all 122 cities, 40 coastal, and 82 non-coastal cities. These networks were then analyzed for their node centralities to identify major factors that influence coastal groundwater management. Interestingly, our analysis revealed that groundwater has various indirect but important links with the factors that are typically unexplored in the literature. We also assessed the CB of the two largest coastal cities in South Korea. By combining the results of network analysis and CB assessment of the two cities, we could identify the indicators that are potentially at risk regarding coastal groundwater. We propose the CBN as a novel approach to unveil underestimated or hidden factors related to the target system (e.g., groundwater), which allows extensive options for sustainable groundwater management.

Recreational Drug Use in People Living with HIV in Spain: Factors Associated with Drug Use and the Impact on Clinical Outcomes

We analysed the impact of recreational drug use (RDU) on different outcomes in people living with HIV (PLHIV). A multicentre retrospective cohort study was performed with two cohorts of PLHIV included: people using recreational drugs (PURD) vs. people not using recreational drugs (PNURD). Overall, 275 PLHIV were included. RDU was associated with men having sex with men (OR 4.14, 95% CI [1.14, 5.19]), previous sexually transmitted infections (OR 4.00, 95% CI [1.97, 8.13]), and current smoking (OR 2.74, 95% CI [1.44, 5.19]). While the CD₄/CD₈ ratio increased amongst PNURD during the follow-up year, it decreased amongst PURD (p = 0.050). PURD presented lower scores of self-reported and multi-interval antiretroviral adherence (p = 0.017, and p = 0.006, respectively), emotional well-being (p < 0.0001), and regular follow-up (p = 0.059), but paid more visits to the emergency unit (p = 0.046). RDU worsens clinical, immunological, and mental health outcomes amongst PLHIV.