Association Between Depression and Condom Use Differs by Sexual Behavior Group in Patients with HIV

The Relation between Depressive Symptoms and Unsafe Sex among MSM Living with HIV

In people living with HIV (PLWH), a positive association is often found between depressive symptoms and unsafe sex, which means sex without a condom. However, the results of such studies are inconclusive. The present study compared the numbers of safe and unsafe sexual contacts from men who have sex with men (MSM) (N = 159), living with HIV and attending a mental health clinic, with those of HIV-negative MSM in the general population (N = 198). We determined whether the presence of depressive symptoms was associated with unsafe sex in either of the two study populations. The depressive symptoms were measured with the Inventory of Depressive Symptoms (IDS), (MSM living with HIV) and with the 2012 Sexual Health Monitor (HIV-negative MSM). Finally, we determined whether MSM living with HIV with depressive symptoms, who received psychiatric treatment as usual, engaged in fewer unsafe sexual contacts one year after baseline. The mental-health-treatment-seeking MSM living with HIV engaged in more unsafe sexual contact than the MSM comparison group without HIV. Neither the treatment-seeking MSM living with HIV nor the MSM without HIV in the general population exhibited a relationship between depressive symptoms and unsafe sex. Moreover, the successful treatment of depressive symptoms in the treatment group did not lead to any reduction in the number of unsafe sexual contacts. Further research is needed to develop interventions that might be effective for MSM living with HIV with mental health symptoms to reduce the number of unsafe sexual contacts.

A Bayesian nonparametric approach for inferring drug combination effects on mental health in people with HIV

Although combination antiretroviral therapy (ART) with three or more drugs is highly effective in suppressing viral load for people with HIV (human immunodeficiency virus), many ART agents may exacerbate mental health-related adverse effects including depression. Therefore, understanding the effects of combination ART on mental health can help clinicians personalize medicine with less adverse effects to avoid undesirable health outcomes. The emergence of electronic health records offers researchers' unprecedented access to HIV data including individuals' mental health records, drug prescriptions, and clinical information over time. However, modeling such data is challenging due to high dimensionality of the drug combination space, the individual heterogeneity, and sparseness of the observed drug combinations. To address these challenges, we develop a Bayesian nonparametric approach to learn drug combination effect on mental health in people with HIV adjusting for sociodemographic, behavioral, and clinical factors. The proposed method is built upon the subset-tree kernel that represents drug combinations in a way that synthesizes known regimen structure into a single mathematical representation. It also utilizes a distance-dependent Chinese restaurant process to cluster heterogeneous populations while considering individuals' treatment histories. We evaluate the proposed approach through simulation studies, and apply the method to a dataset from the Women's Interagency HIV Study, showing the clinical utility of our model in guiding clinicians to prescribe informed and effective personalized treatment based on individuals' treatment histories and clinical characteristics.

Trajectories of Sexual Risk Behaviors and the Associated Factors Among Young Men Who Have Sex With Men in China

Background

Young men who have sex with men (YMSM) are at high risk of HIV infection that accounts for an increasing proportion of new human immunodeficiency virus (HIV) infections in China. However, little is known about the trajectories of sexual risk behaviors in this population. The study aimed to investigate longitudinal patterns of sexual risk behaviors among YMSM in China.

Methods

Study data were collected from a prospective cohort study among 460 YMSM from 2017 to 2020. Based on the predicted HIV infection risk scores, distinct sexual risk behaviors trajectories of YMSM were estimated and plotted using the group-based censored normal model to identify the predictors of trajectories change over time.

Results

Three sexual risk behaviors trajectories were identified: a decreasing low-risk group (7.6%), an intermediate-risk group (67.4%), and an ascending high-risk group (25.0%).Compared to the decreasing low-risk group, intermediate-risk group membership was associated with being from rural areas, current smoker and higher depressive symptoms; ascending high-risk group membership was associated with an education level of high school or lower, being from rural areas, younger age at sex debut with a man, current smoker, higher depressive symptoms and sexual minority stress.

Conclusions

Sexual risk behaviors among YMSM changed over time within different trajectories. Identifying YMSM belonging to high-risk trajectories before HIV infection is vital for the intervention and may reduce HIV transmission.

BAGEL: A BAYESIAN GRAPHICAL MODEL FOR INFERRING DRUG EFFECT LONGITUDINALLY ON DEPRESSION IN PEOPLE WITH HIV

Access and adherence to antiretroviral therapy (ART) has transformed the face of HIV infection from a fatal to a chronic disease. However, ART is also known for its side effects. Studies have reported that ART is associated with depressive symptomatology. Large-scale HIV clinical databases with individuals' longitudinal depression records, ART medications, and clinical characteristics offer researchers unprecedented opportunities to study the effects of ART drugs on depression over time. We develop BAGEL, a Bayesian graphical model to investigate longitudinal effects of ART drugs on a range of depressive symptoms while adjusting for participants' demographic, behavior, and clinical characteristics, and taking into account the heterogeneous population through a Bayesian nonparametric prior. We evaluate BAGEL through simulation studies. Application to a dataset from the Women's Interagency HIV Study yields interpretable and clinically useful results. BAGEL not only can improve our understanding of ART drugs effects on disparate depression symptoms, but also has clinical utility in guiding informed and effective treatment selection to facilitate precision medicine in HIV.

Anxiety and Depression Status and Influencing Factors of MSM in the Post-COVID-19 Epidemic Period: A Cross-Sectional Study in Western China

This study aimed to explore the psychological status and influencing factors of men who have sex with men (MSM) during the stable period of the COVID-19 epidemic, to provide a reference for the mental health counseling of MSM, and to provide a scientific basis for this group to actively respond to public health emergencies. A cross-sectional survey was conducted on the demographic characteristics, epidemic experiences, risk perception, and COVID-19-related attitudes of MSM in western China, and MSM anxiety and depression were assessed by using the Anxiety Self-Rating Scale and the Center for Epidemiological Studies Depression (CES-D) Scale. The incidences of MSM anxiety and depression in the post-COVID-19 epidemic period are 21.7% and 38.0%, respectively. Logistic regression analysis showed that in terms of anxiety, high controllability of the epidemic (OR = 0.7616) is a protective factor. Thinking that they are more susceptible to COVID-19 (OR = 1.6168) and worrying about another outbreak of the epidemic (OR = 1.4793) are risk factors. In terms of depression, being able to protect themselves from being infected with COVID-19 (OR = 0.6280) is a protective factor. The role of anal sex as “0”/“0.5,” and believing that they are more susceptible to COVID-19 (OR = 1.3408) are risk factors. The sudden outbreak affected the psychological state of MSM and even caused negative feelings of anxiety and depression. These findings suggest that prevention and education should be strengthened, and effective intervention measures should be taken as soon as possible, to improve the mental health of MSM.

Mental health and risky sexual behaviors among Chinese college students: a large cross-sectional study

BACKGROUND

College students are at-risk populations of mental health problems and risky sexual behaviors. However, little literature focuses on the association between mental health problems and risky sexual behaviors. Our study examined the association between mental health problems (depressive symptoms, suicide, and mental disorders) and risky sexual behaviors among a large sample of Chinese college students.

METHODS

A total of 49,728 Chinese college students (47.5% male) eventually participated in the analysis. A self-administered questionnaire was used to measure mental health, risky sexual behaviors (casual sex, no condom use at last sexual intercourse, group-sex, and a high number of sexual partners), and other sociodemographic characteristics. Logistic regression analysis was used to explore the relationship between mental health and risky sexual behaviors. To ensure the data is representative of the nation's statistics, all analyses were weighed.

RESULTS

The prevalence of depressive symptoms, suicide ideation and suicide attempts, and mental disorders was 42.83%, 41.29%, and 7.74%, respectively. 26.13% of participants were sexually active in the previous twelve months. Nearly 35% of sexually active participants were engaged in risky sexual behaviors. Logistic regression results demonstrated that mental health problems were associated with risky sexual behaviors after adjusting confounders.

LIMITATIONS

cross-sectional analysis; The self-reported variables may be subject to recall bias and fraud.

CONCLUSIONS

There is a relatively high prevalence of mental health problems and risky sexual behaviors amongst Chinese college students. A significant association between mental health problems and risky sexual behaviors was suggested by our study. Our findings support the importance of advocating for mental and reproductive healthcare for college students.

Depression, sleep quality and condom use amongst Iranian people living with human immunodeficiency virus

Background

Depression is a common mood disorder in people living with human immunodeficiency virus (PLWH) and is associated with risk-taking sexual behaviour.

Objectives

This study examines depression, sleep quality and condom usage amongst PLWH in Tehran, Iran.

Method

This cross-sectional study was undertaken between October and November 2019 on 298 PLWH referred to voluntary counselling and testing centres (VCTs) in Tehran. Participants provided information as per the following questionnaires: the Depression, Anxiety, Stress Scale (DASS), the Pittsburgh Sleep Quality Index Questionnaire and a demographic questionnaire that evaluated condom use.

Results

A total of 298 PLWH, of whom 202 (67.8%) were men with a mean age of 39.81 years, were enrolled in the study. The DASS classified 57% with depression. Fewer than 20% of these used condoms regularly. The majority of depressed patients were men (68.6%) and 31.4% were women. The depressed patients were more likely not to use condoms than those who were not depressed (adjusted odds ratio [OR] = 6.5; 95% confidence interval [CI], 3.70–11.42). The adjusted OR for not using a condom amongst the depressed was 7.12 times greater (95% CI, 5.85–10.11) than in those without depression.

Conclusion

Our findings suggest that depression is common amongst PLWH in Tehran and is associated with risk-taking sexual behaviour. Appropriate interventions are needed to address mental disorders in PLWH. It is recommended that patients be screened regularly for symptoms of depression and, where indicated, counselled and managed.

Perpetration of Intimate Partner Violence Among Men Living with HIV in Northern Vietnam

We examined the prevalence of intimate partner violence (IPV) perpetration and characteristics of HIV-infected male perpetrators. The cross-sectional study was conducted in Vietnam with male antiretroviral treatment clients (N = 1099; mean age = 40.2 years). Bivariable associations were tested between psychological or physical/sexual IPV perpetration in the last 12 months and sociodemographic, psychosocial, and sexual behavioral factors using prevalence ratios. Factors significant at p < 0.10 were entered in multivariable models for each IPV outcome using a modified Poisson approach. Results showed 15.6% (N = 171/1099) reported perpetrating psychological IPV and 7.6% (N = 84/1099) perpetrating physical/sexual IPV in the last 12 months. HIV risk behaviors, including hazardous drinking and multiple sexual partners, having witnessed interparental violence as a child, and depressive symptoms were associated with perpetrating IPV. HIV interventions targeting HIV-infected men in Vietnam should intervene on IPV perpetration by addressing the co-occurring factors of sexual risk, depression, alcohol use, and child maltreatment that are correlated with IPV.

Depressive Emotion Detection and Behavior Analysis of Men Who Have Sex With Men via Social Media

BACKGROUND

A large amount of evidence has indicated an association between depression and HIV risk among men who have sex with men (MSM), but traditional questionnaire-based methods are limited in timely monitoring depressive emotions with large sample sizes. With the development of social media and machine learning techniques, MSM depression can be well monitored in an online and easy-to-use manner. Thereby, we adopt a machine learning algorithm for MSM depressive emotion detection and behavior analysis with online social networking data.

METHODS

A large-scale MSM data set including 664,335 users and over 12 million posts was collected from the most popular MSM-oriented geosocial networking mobile application named Blued. Also, a non-MSM Benchmark data set from Twitter was used. After data preprocessing and feature extraction of these two data sets, a machine learning algorithm named XGBoost was adopted for detecting depressive emotions.

RESULTS

The algorithm shows good performance in the Blued and Twitter data sets. And three extracted features significantly affecting the depressive emotion detection were found, including depressive words, LDA topic words, and post-time distribution. On the one hand, the MSM with depressive emotions published posts with more depressive words, negative words and positive words than the MSM without depressive emotions. On the other hand, in comparison with the non-MSM with depressive emotions, the MSM with depressive emotions showed more significant depressive symptoms, such as insomnia, depressive mood, and suicidal thoughts.

CONCLUSIONS

The online MSM depressive emotion detection using machine learning can provide a proper and easy-to-use way in real-world applications, which help identify high-risk individuals at the early stage of depression for further diagnosis.

Depression, sexual behavior, and HIV treatment outcomes among transgender women, cisgender women and men who have sex with men living with HIV in Brazil and Thailand: a short report

One in five transgender women (TW) are living with HIV, yet little has been published about their health outcomes. We analyzed data from TW (n = 37), cisgender women (CW, n = 165), and cisgender men who have sex with men (MSM, n = 151) in Thailand and Brazil. We hypothesized: (1) TW will have higher odds of depressive symptoms, lower odds of condom use and greater odds of a detectable viral load compared to MSM and CW; and (2) TW will have lower odds of condom use and higher odds of detectable viral load. We found that TW had higher odds of depression (OR 2.2, 95%CI: 1.0, 4.8, p = 0.04) and were less likely than MSM (22% v. 42%, p = 0.01) to use condoms with partners of unknown serostatus. In multivariable models, TW had lower odds than MSM of using condoms with partners with unknown serostatus (OR 0.38, 95%CI: 0.15, 0.90) and CW had lower odds than MSM of using condoms with HIV-negative partners (0.60 [0.38, 0.95], p = 0.029). We found no significant differences in detectable viral load. Disaggregating data by gender is important to understand factors that contribute to viral suppression and HIV transmission risk among people living with HIV.