Syndemic Model Research Articles

Gendered syndemic of intimate partner violence, alcohol misuse, and HIV risk among peri-urban, heterosexual men in South Africa

Men whose sexual behaviors place them at risk of HIV often exhibit a “cluster” of behaviors, including alcohol misuse and violence against women. Called the “Substance Abuse, Violence and AIDS (SAVA) syndemic,” this intersecting set of issues is poorly understood among heterosexual men in sub-Saharan Africa. We aim to determine cross-sectional associations between men's use of alcohol, violence, and HIV risk behaviors using a gendered syndemics lens. We conducted a baseline survey with men in an informal, peri-urban settlement near Johannesburg (Jan–Aug 2016). Audio-assisted, self-completed questionnaires measured an index of risky sex (inconsistent condom use, multiple partnerships, transactional sex), recent violence against women (Multicountry Study instrument), alcohol misuse (Alcohol Use Disorders Tool), and gender attitudes (Gender Equitable Men's Scale). We used logistic regression to test for syndemic interaction on multiplicative and additive scales and structural equation modeling to test assumptions around serially causal epidemics. Of 2454 men, 91.8% reported one or more types of risky sex. A majority of participants reported one or more SAVA conditions (1783, 71.6%). After controlling for socio-demographics, higher scores on the risky sex index were independently predicted by men's recent violence use, problem drinking, and inequitable gender views. Those men reporting all three SAVA conditions had more than 12-fold greater odds of risky sex compared to counterparts reporting no syndemic conditions. Each two-way interaction of alcohol use, gender inequitable views, and IPV perpetration was associated with a relative increase in risky sex on either a multiplicative or additive scale. A structural equation model illustrated that gender norms predict violence, which in turn predict alcohol misuse, increasing both IPV perpetration and risky sex. These data are consistent with a syndemic model of HIV risk among heterosexual men. Targeting intersections between syndemic conditions may help prevent HIV among heterosexual men in peri-urban African settings.

The syndemic model in medicine. From the reconstruction of social and health contexts, to the return of citizenship rights.

The syndemic model in medicine aims to deepen the interaction between different pathologies and the social situations in which they are determined, considering not only the biomedical definition of typical comorbid conditions, but also the interaction between genetic and environmental factors, and lifestyle. Applying a syndemic approach can be relevant and innovative because it offers the opportunity to identify the barriers and circumstances that cause or exacerbate pathological conditions. The unresolved problem is how to translate successfully this approach into professional practice. To do this, a different epidemiological approach is needed to define pathways, tools, methods to describe the stories of populations, contexts, institutions: an organizational system of health and social services should be shaped. It should be appropriate for the needs of people and not simply well-matched with predefined models and resources. A syndemic logic should lead to the research/testing of health profiles for taking charge of people's citizenship rights, identifying population groups at risk and analyzing health inequalities through sectoral and multidisciplinary interventions aimed at specific health determinants (environment, work, lifestyles, etc.).

The syndemic of violence victimisation, drug use, frequent alcohol use, and HIV transmission risk behaviour among men who have sex with men: Cross-sectional, population-based study in India

The theory of syndemics has been used to explain elevated HIV risk facing men who have sex with men (MSM). However, few studies have employed suitable analytical methods to test this theory. Using data from a probability-based sample of MSM in India, we tested three proposed models linking the co-occurring epidemics of violence victimisation, drug use, and frequent alcohol use to HIV risk: 1) the syndemic model of synergistically interacting epidemics; 2) the “chains of risk” model; and 3) the model of mutually causal epidemics. The primary outcome was inconsistent condom use with male or hijra (transgender women) partners in the past month. For the syndemic model, we included product terms between the exposures and assessed for interaction on the additive (linear probability regression) and multiplicative (logistic regression) scales. Path analysis was used to test the models of serially causal epidemics and mutually causal epidemics. Among 22,297 HIV-negative MSM, violence victimisation (24.7%), frequent alcohol use (27.5%), and drug use (10.9%) frequently co-occurred. We found evidence for a three-way interaction between violence victimisation, drug use and frequent alcohol use on both the multiplicative (semi-elasticity = 0.28; 95% CI 0.10, 0.47) and additive (b = 0.14; 95% CI 0.01, .27) scales. We also estimated statistically significant two-way interactions between violence victimisation and frequent alcohol use on the multiplicative (semi-elasticity = .10; 95% CI 0.008, 0.20) and additive (b = 0.05, 95% CI 0.002, 0.107) scales, and between drug use and frequent alcohol use on the multiplicative (semi-elasticity = 0.13, 95% CI 0.02, 0.24) and additive (b = 0.06, 95% CI 0.007, 0.129) scales. Thus, we found strong evidence for the syndemic model. The models of serially causal and mutually causal epidemics were partially supported. These findings highlight the need to sharpen how syndemic models are specified so that their empirical predictions can be adequately tested and distinguished from other theories of disease distribution.

Cardiovascular Disease as a Result of the Interactions Between Obesity, Climate Change, and Inflammation: The COCCI Syndemic.

Obesity and climate change conspire to create an environment in which subclinical vascular inflammation leads to progressive atherosclerosis, which contributes to the number 1 cause of global mortality: cardiovascular disease. The syndemic model requires 2 or more diseases or contributors to disease (such as obesity and climate change) clustering within a specific population in addition to the associated societal and social factors, ultimately creating an environment supportive of a greater adverse interaction. This article explores the syndemic of obesity and climate change as a driver for cardiovascular disease.

HIV Vulnerability and Coexisting Psychosocial Health Problems amongTanzanian Men who have Sex with Men from the Perspective of an African Syndemic Model

This study, conducted among men who have sex with men (MSM) in sub-Saharan Africa (SSA), sought to replicate the syndemic effects of psychosocial health problems on HIV risk by using data collected from a sample of 300 MSM and bisexuals from Tanzania. We also sought to test the utility of syndemic theory by replicating the effects of the number of syndemic conditions on HIV risk behavior in that population. Five psychosocial health problems (i.e., the syndemic factors), acronymized as SAVID, were examined: substance use while having condomless sexual intercourse, childhood and adolescent sexual abuse, experience of anti-gay violence, internalized homonegativity (IH), and depression. Nine of the 10 odds ratios (ORs) generated from analysis of the bivariate associations between these syndemic factors were found to be statistically significant and positive; the tenth was marginally significant and positive. These results indicate not only a high degree of coexistence of the syndemic factors but also suggest that possible interactions between these factors may have additive effects on the behavioral health outcomes of the study participants. Such additive effects were confirmed by finding a A¢Â€Âœdose-responseA¢Â€Â� relationship between HIV risk-associated sexual behavior and the number of the five syndemic factors reported by each participant. After controlling for demographic and contextual factors, we found that the SAVID syndemic variable significantly increased the odds of engaging in condomless sexual intercourse (OR, 1.48). This substantiates the central tenet of syndemic theory, which is that those participants who were exposed to a greater number of the psychosocial health problems also engaged in higher-risk sexual behavior. Multivariate regression analyses revealed not only the effect of two of the syndemic conditions (substance use during sex and IH) on HIV risk-related sexual behavior but also confirmed how one demographic variable (younger age) and one culturally structured factor (being gay but still having a meaningful sexual relationship with women) uniquely contributed to syndemic conditions among Tanzanian MSM. These results suggest that a multifaceted HIV intervention grounded in syndemic theory should be considered as an effective approach to mitigating the risk environment that potentiates the vulnerability to HIV among Tanzanian MSM.

Risk Factors for Recent Intimate Partner Violence among Methamphetamine-Using Men and Women

ABSTRACTThe Substance Abuse, Violence, and HIV/AIDS (SAVA) syndemic model describes how the confluence of the three epidemics of substance abuse, violence, and HIV risk work synergistically to create excess burden among populations. We sought to identify risk factors associated with recent intimate partner violence (IPV) victimization among heterosexual methamphetamine (meth)-using men (n = 108) and women (n = 122) enrolled in FASTLANE-II, an HIV behavioral intervention in San Diego, CA. Women and men reported high rates of physical-only (women: 20%; men: 18%) and sexual (women: 25%; men: 23%) IPV. Multinomial regression analysis revealed that individuals who reported lower social support and individuals who reported a greater likelihood of engaging in risky sexual behaviors while high on meth were more likely to report IPV versus no IPV. Women who reported a greater likelihood of engaging in risky sexual behaviors while high on meth were 1.58 times more likely to report physical-only IPV versus no IPV, while men who reported similar behaviors were 1.15 times more likely to report physical-only IPV versus no IPV. Our findings highlight the influence of interpersonal factors on IPV. This research supports further study on gender-specific risk/protective factors and the development of gender-specific interventions targeting the SAVA syndemic among meth users.

Syndemic production and sexual compulsivity/hypersexuality in highly sexually active gay and bisexual men: further evidence for a three group conceptualization.

Among gay and bisexual men (GBM), a syndemic describes a situation in which negative conditions (e.g., childhood sexual abuse, intimate partner violence, depression, polysubstance use) co-occur such to amplify HIV risk. Research has suggested that sexual compulsivity (SC) may also be a syndemic condition. Between 2011 and 2013, 368 highly sexually active (9+ male partners in 90days) GBM completed a survey of syndemic factors as well as measures of sexual compulsivity (Sexual Compulsivity Scale [SCS]) and hypersexuality (hypersexual disorder screening inventory [HDSI]). Based on scores on the SCS and HDSI, participants were organized into three groups-negative on both ("Neither SC nor HD"); positive on the SCS only ("SC Only"), and positive on both the SCS and the HDSI ("Both SC and HD"). We found support for the utility of a three-group classification of sexual compulsivity/hypersexuality as one of the syndemic factors that contribute to HIV risk. The average number of syndemic factors experienced was lowest among those who experienced Neither SC nor HD and highest among the group that experienced Both SC and HD, with those experiencing SC Only falling between the two other groups. This study provided further evidence that sexual compulsivity/hypersexuality is a contributing factor to the syndemics model of HIV risk for GBM and that considering three levels of severity (i.e., SC along with HD) led to stronger model predictions than considering SC alone. SC/HD severity provides another modifiable target for HIV prevention intervention development.

A Syndemic Model of Women Incarcerated in Community Jails

The purpose of this study was to test whether variations in substance abuse, mental health diagnoses, individual experiences of violence, community experiences of violence, and incarceration history may be reduced to a single underlying syndemic factor for a sample of women incarcerated in three Midwestern U.S. jails. Secondary data analysis of a cross-sectional study of a medical utilization survey; initial confirmatory factor analysis tested fit of model; modification indexes provided confirmatory fit. 290 women incarcerated in three urban Midwestern U.S. jails. Demographics and variables associated with women's criminal justice experience and sexual health risk were assessed. The analysis included women's mental health, drug dependence, childhood sexual and physical abuse, and partner violence. The final model had four variables with significant pathways: childhood sexual abuse, childhood physical abuse, domestic violence, and mental health diagnoses. The fit of this model was very good (χ(2) (1) = 0.6; CFI=1.00; standardized RMR=0.0147), strongly suggesting the intertwined nature of the variables. Clarification of the specific components in a syndemic model for this population will allow for the implementation of interventions with the appropriate inclusion of content. In interventions and clinical practice, public health nurses should consider these interrelationships.

DIABETES AMONG OAXACA'S TRANSNATIONAL POPULATION: AN EMERGING SYNDEMIC

Though indigenous communities have undergone rapid economic integration in the last few decades as a result of neoliberal reforms and increased migration, these communities experience a complex epidemiological profile that includes fetal and childhood undernutrition and adult obesity and diabetes. We argue here that the interaction of these burdens and the social conditions that have dismantled local food systems and propelled out‐migration best explain the growing rate of diabetes in this region. We contrast this syndemic approach with the Thrifty Genotype Hypothesis, which attributes the high rate of diabetes among Native American populations to presumed genetic predisposition, triggered by lifestyle changes. We find the Thrifty Phenotype Hypothesis useful for explaining links between fetal and postnatal nutrition interruptions and chronic diseases in later life in certain populations and that a syndemics framework is useful for modeling the complex social causes of this pattern. While the syndemics model has largely been used to understand infectious diseases and addiction, social scientists have yet to use the framework to investigate the complex interactions between chronic malnutrition, metabolic syndrome, and political economy in rural Oaxacan communities. The most effective efforts to reduce diabetes will be those that address the social determinants of diabetes in this and other similar populations, rather than programs that address individual behaviors and lifestyle.

At special risk: Biopolitical vulnerability and HIV/STI syndemics among women

Women are at special risk for HIV/AIDS infection and disease progression due to an inter-related set of biopolitical factors. Biological factors that contribute to women’s special vulnerability include hormonal, developmental, and immunological characteristics. Social and political factors such as poverty, gendered power relationships, and violence interact with biological factors to create an HIV risk profile among women. The approach of this paper is to review literatures that describe components of women’s risks for HIV in order to create an integrated model of vulnerability. We present a syndemic model that calls attention to the importance of understanding the pathways of adverse interaction among interacting diseases and the social and political environments of sufferers. This paper synthesises known risk factors and analyses them through the lens of syndemics theory in order to demonstrate the biopolitical vulnerability of women to HIV. Applying a syndemic approach offers important implications for prevention and treatment of HIV among women.

In Response to the Published Article “A Syndemic Model of Substance Abuse, Intimate Partner Violence, HIV Infection, and Mental Health among Hispanics”

In Response to the Published Article “A Syndemic Model of Substance Abuse, Intimate Partner Violence, <scp>HIV</scp> Infection, and Mental Health among Hispanics”

At Special Risk: Biopolitical Vulnerability and HIV Syndemics Among Women

Women are at special risk for HIV/AIDS infection and disease progression due to an inter-related set of biopolitical factors. Biological factors that contribute to women’s special vulnerability include hormonal, developmental, and immunological characteristics. Social and political factors such as poverty, gendered power relationships, and violence interact with biological factors to create an HIV risk profile among women. The approach of this paper is to review literatures that describe components of women’s risks for HIV in order to create an integrated model of vulnerability. We present a syndemic model that calls attention to the importance of understanding the pathways of adverse interaction among interacting diseases and the social and political environments of sufferers. This paper synthesises known risk factors and analyses them through the lens of syndemics theory in order to demonstrate the biopolitical vulnerability of women to HIV. Applying a syndemic approach offers important implications for prevention and treatment of HIV among women.

A Syndemic Model of Substance Abuse, Intimate Partner Violence, HIV Infection, and Mental Health Among Hispanics

Hispanics are disproportionately affected by substance abuse, HIV infection, intimate partner violence, and mental health conditions. To address health disparities among Hispanics and other vulnerable groups, it is necessary to understand the complex interactions between health conditions clustering together (e.g., substance abuse, intimate partner violence, and HIV) and the social ecology in which these conditions exist. A syndemic orientation, a consideration of clustering epidemics and common individual, relationship, cultural, and socioenvironmental factors linking these conditions, may be helpful in developing comprehensive models that expand our ability to understand and address health disparities. The purpose of this paper is to introduce a Syndemic Model of Substance Abuse, Intimate Partner Violence, HIV Infection, and Mental Health among Hispanics, and provide evidence from the research literature to support the central relationships and risk and protective factors (i.e., potential links between conditions) depicted by the model. The development and evaluation of interventions aimed at the prevention of substance abuse, intimate partner violence, HIV/AIDS, and mental health problems as a syndemic affecting Hispanics is urgently needed. Public health nurses can initiate this endeavor with the guidance of a Syndemic Model.