Syndemics theory must take local context seriously: An example of measures for poverty, mental health, and food insecurity

Convergence between Cardiometabolic and Infectious Diseases in Adults from a Syndemic Perspective: A Scoping Review

Objective. Synthesize the approaches used to study the convergence between cardiometabolic and infectious diseases in adults from a syndemic perspective based on the scientific evidence available to date worldwide. Methods. Scoping review that follows the recommendations of the PRISMA statement. The protocol was registered in INPLASY202150048. The search for studies was carried out in MEDLINE, LILACS, Web of Science and Scopus. Results. Since the COVID-19 pandemic, there has been an increase in studies in the field of convergence between cardiometabolic and infectious diseases from a syndemic perspective, but only three studies were classified as true syndemics. There are weaknesses in the adherence to the elements of the syndemic theory, given a low incorporation of population measurements, and until now it has not been possible to find convincing empirical evidence that supports the bio-bio interface. Quantitative methods predominated through models focused on "sum scores". Conclusions. Future studies should comprehensively address the elements of syndemics, review discrepancies between additive analyses versus other modeling, and incorporate the influence of large-scale social forces. The lack of these aspects distances studies from the notion of syndemic, bringing them closer to comorbidity or multimorbidity approaches.

Using a Syndemics Perspective to (Re)Conceptualize Vulnerability during the COVID-19 Pandemic: A Scoping Review

Syndemics theory has been applied to study interactions between biomedical and social factors leading to the clustering of diseases. Because syndemics theory focuses on interactions that enhance risk, the concept of vulnerability is central to this approach. We conducted a scoping review to better understand how this theoretical framework helped to define, operationalize, and tackle issues of vulnerability during the COVID-19 pandemic. Original research, reviews, and opinion pieces elaborating on syndemics, vulnerability, and COVID-19, published between December 2019 and October 2022 and available from PubMed, were eligible. We analyzed 40 records and identified three framings of syndemics operating during this period: (1) interactions between COVID-19, diseases/health conditions, and specific social factors; (2) interactions between COVID-19 and social determinants of health; and (3) impacts of COVID-19 on specific populations. Emerging conceptualizations described vulnerability to COVID-19 as a systemic issue, explained the impact of COVID-19 control measures on increased vulnerability, and presented COVID-19 as a syndemic on its own. However, this theory's potential for deepening our understanding of vulnerability during this pandemic was constrained by superficial explorations of the interactions between biomedical and social spheres, and insufficient theoretical and methodological support from the social sciences.

Differing Within-Household Food Security Statuses Are Associated with Varied Maternal Mental Health Outcomes

Household food insecurity is not necessarily equally experienced by all household members, with mothers often changing their intake first when food resources are limited. The purpose of this study was to understand the association between maternal mental health and intrahousehold differences in food security statuses. A cross-sectional survey was administered to Virginia mothers with low income (August-October 2021), assessing validated measures of food security, mental and physical health and related factors. Participants (n = 570) were grouped according to the food security status of adults and children within the household. Linear regression was used to assess the outcomes of interest by group and controlled for key demographic variables. Mothers in households with any food insecurity reported worse overall mental health and used 3-4 more food coping strategies than households experiencing food security (p < 0.05). Only mothers in households where adults experienced food insecurity reported significantly greater anxiety and depressive symptoms (61.5 and 58.1, respectively) compared to households experiencing food security (55.7 and 52.4, p < 0.001). While any experience of household food insecurity is associated with worse maternal mental health, there were differences by the within-household food security status. Future research should explore screening measures that capture specific household members' food security to connect households with available resources.

Exploring the Association Between Structural Racism and Mental Health: Geospatial and Machine Learning Analysis

BACKGROUND

Structural racism produces mental health disparities. While studies have examined the impact of individual factors such as poverty and education, the collective contribution of these elements, as manifestations of structural racism, has been less explored. Milwaukee County, Wisconsin, with its racial and socioeconomic diversity, provides a unique context for this multifactorial investigation.

OBJECTIVE

This research aimed to delineate the association between structural racism and mental health disparities in Milwaukee County, using a combination of geospatial and deep learning techniques. We used secondary data sets where all data were aggregated and anonymized before being released by federal agencies.

METHODS

We compiled 217 georeferenced explanatory variables across domains, initially deliberately excluding race-based factors to focus on nonracial determinants. This approach was designed to reveal the underlying patterns of risk factors contributing to poor mental health, subsequently reintegrating race to assess the effects of racism quantitatively. The variable selection combined tree-based methods (random forest) and conventional techniques, supported by variance inflation factor and Pearson correlation analysis for multicollinearity mitigation. The geographically weighted random forest model was used to investigate spatial heterogeneity and dependence. Self-organizing maps, combined with K-means clustering, were used to analyze data from Milwaukee communities, focusing on quantifying the impact of structural racism on the prevalence of poor mental health.

RESULTS

While 12 influential factors collectively accounted for 95.11% of the variability in mental health across communities, the top 6 factors-smoking, poverty, insufficient sleep, lack of health insurance, employment, and age-were particularly impactful. Predominantly, African American neighborhoods were disproportionately affected, which is 2.23 times more likely to encounter high-risk clusters for poor mental health.

CONCLUSIONS

The findings demonstrate that structural racism shapes mental health disparities, with Black community members disproportionately impacted. The multifaceted methodological approach underscores the value of integrating geospatial analysis and deep learning to understand complex social determinants of mental health. These insights highlight the need for targeted interventions, addressing both individual and systemic factors to mitigate mental health disparities rooted in structural racism.

Emotional and Financial Stressors in New York City During the COVID-19 Pandemic: A Consecutive Cross-Sectional Analysis

Mental and financial hardship during the COVID-19 pandemic in New York City was severe, but how vulnerable groups have been disproportionately impacted is incompletely understood. In partnership with community stakeholders, we administered a web-based survey to a convenience sample of New York City residents (18 + years) from May 2020 to April 2021 to evaluate their financial and emotional stressors. We analyzed outcomes by race, ethnicity, and education level. A total of 1854 adults completed the survey across three consecutive non-overlapping samples. Fifty-five percent identified other than non-Latinx White. Sixty-four percent reported emotional stress; 38%, 32%, and 32% reported symptoms of anxiety, depression, and post-traumatic stress disorder respectively; and 21% reported a large adverse financial impact. The leading unmet needs were mental health and food services (both 19%), and health services (18%). Need for both resources grew over time. Adverse financial impact directly correlated with presence of all four adverse mental health outcomes above. In multivariate analysis, non-White race and lack of college degree were associated with adverse financial impact, whereas LGBT identity and lack of college degree were associated with mental health impact. Throughout the COVID-19 pandemic, participants in this research demonstrated a large and growing mental and financial strain, disproportionately associated with lower education level, non-White race, and LGBT status. Our findings suggest an urgent need to differentially target COVID-19 mental health and resource support in New York City to persons in these vulnerable communities.

The current state of complex systems research on socioeconomic inequalities in health and health behavior-a systematic scoping review

BACKGROUND

Interest in applying a complex systems approach to understanding socioeconomic inequalities in health is growing, but an overview of existing research on this topic is lacking. In this systematic scoping review, we summarize the current state of the literature, identify shared drivers of multiple health and health behavior outcomes, and highlight areas ripe for future research.

METHODS

SCOPUS, Web of Science, and PubMed databases were searched in April 2023 for peer-reviewed, English-language studies in high-income OECD countries containing a conceptual systems model or simulation model of socioeconomic inequalities in health or health behavior in the adult general population. Two independent reviewers screened abstracts and full texts. Data on study aim, type of model, all model elements, and all relationships were extracted. Model elements were categorized based on the Commission on Social Determinants of Health framework, and relationships between grouped elements were visualized in a summary conceptual systems map.

RESULTS

A total of 42 publications were included; 18 only contained a simulation model, 20 only contained a conceptual model, and 4 contained both types of models. General health outcomes (e.g., health status, well-being) were modeled more often than specific outcomes like obesity. Dietary behavior and physical activity were by far the most commonly modeled health behaviors. Intermediary determinants of health (e.g., material circumstances, social cohesion) were included in nearly all models, whereas structural determinants (e.g., policies, societal values) were included in about a third of models. Using the summary conceptual systems map, we identified 15 shared drivers of socioeconomic inequalities in multiple health and health behavior outcomes.

CONCLUSIONS

The interconnectedness of socioeconomic position, multiple health and health behavior outcomes, and determinants of socioeconomic inequalities in health is clear from this review. Factors central to the complex system as it is currently understood in the literature (e.g., financial strain) may be both efficient and effective policy levers, and factors less well represented in the literature (e.g., sleep, structural determinants) may warrant more research. Our systematic, comprehensive synthesis of the literature may serve as a basis for, among other things, a complex systems framework for socioeconomic inequalities in health.

Flourishing with chronic illness(es) and everyday stress: Experiences from Soweto, South Africa

The pursuit of flourishing, or living a good life, is a common human endeavor with different meanings across individuals and contexts. What is needed is a further exploration of the relationship between flourishing and health, particularly chronic illness, which affects individuals across the life course and is affected by experiences of stress derived from social and structural vulnerability. Drawing on data from the Soweto Syndemics study, including a locally derived stress scale and in-depth interviews, we explore the connections between flourishing and health for those living with multiple chronic illnesses in Soweto, South Africa within a syndemic of communicable and non-communicable disease. Rather than drawing on Western-centric notions of flourishing (which place emphasis on an individual's capabilities or capacities to thrive), we draw on previous ethnographic work on flourishing in Soweto, South Africa, which described how ukuphumelela, or "becoming victorious," as a social or communal affair. This conceptualization reflects local values and priorities for people's lives and the ways in which their lives are deeply intertwined with each other. We contribute to a more robust understanding of flourishing in context, of how chronic illness is experienced, and of how the role of a patient is transcended in spaces where individuals are part of a social or faith community. As people living with chronic illness(es) actively pursue the good life, health care systems must consider these pursuits as valid parts of the human experience that also challenge narrow definitions of health.

A cultural-ecosocial systems view for psychiatry

While contemporary psychiatry seeks the mechanisms of mental disorders in neurobiology, mental health problems clearly depend on developmental processes of learning and adaptation through ongoing interactions with the social environment. Symptoms or disorders emerge in specific social contexts and involve predicaments that cannot be fully characterized in terms of brain function but require a larger social-ecological view. Causal processes that result in mental health problems can begin anywhere within the extended system of body-person-environment. In particular, individuals' narrative self-construal, culturally mediated interpretations of symptoms and coping strategies as well as the responses of others in the social world contribute to the mechanisms of mental disorders, illness experience, and recovery. In this paper, we outline the conceptual basis and practical implications of a hierarchical ecosocial systems view for an integrative approach to psychiatric theory and practice. The cultural-ecosocial systems view we propose understands mind, brain and person as situated in the social world and as constituted by cultural and self-reflexive processes. This view can be incorporated into a pragmatic approach to clinical assessment and case formulation that characterizes mechanisms of pathology and identifies targets for intervention.

[COVID-19 in the midst of a "perfect storm" in neoliberal capitalism: critical reflections on its impacts in Brazil]

The impacts of the recent coronavirus pandemic on Brazilian society revealed a scenario that goes beyond a health crisis. This article sets out to present the causes and consequences of a systemic crisis in the neoliberal economic order based on the prominence of markets and social exclusion, while the role of the State - as the guardian of social rights - is neglected. The methodology adopted follows a critical interdisciplinary perspective from the fields of political economy and social sciences, located in socioeconomic reports referred to in this analysis. It is argued that the neoliberal rationale guiding government policies, which is deep rooted in the social environment, has contributed to the increase in structural inequalities in Brazil, thus creating favorable conditions for exacerbating the impacts caused by the pandemic in society, particularly among the most vulnerable social groups.

Type 2 diabetes and depressive symptoms in the adult population in Mexico: a syndemic approach based on National Health and Nutrition Survey

BACKGROUND

The syndemic approach allows the analysis of clusters of diseases that affect a population in contexts of geographic, social and economic inequalities at the same moment and time. This study aims to analyze, from a syndemic perspective, the relationship between type 2 diabetes (T2D) and depressive symptoms in Mexican adults and its association with individual, contextual and structural factors.

METHODS

Observational, cross-sectional study based on secondary data from Mexico's National Health and Nutrition Survey 2018-19. The sample of this study consisted of 16 835 adults, which represented a total of 78 463 734 persons aged ≥ 20 years. Bivariate descriptive analyses were performed and logistic regression models were estimated to analyze the association between T2D and depressive symptoms with various co-variables. In addition, interactions between T2D and depressive symptoms with obesity, educational level, and socioeconomic status were tested.

RESULTS

In the study population, 12.2% of adults aged 20 years and older self-reported having T2D, 14.7% had depressive symptoms and 2.8% had both diseases. There was a statistically significant relationship between T2D and depressive symptoms. The prevalence of T2D and depressive symptoms was higher compared to people who did not have these two conditions. Obesity increased the probability of having T2D, while violence was statistically associated with people having depressive symptoms. A low level of education increased the odds ratio of having T2D and depressive symptoms.

CONCLUSION

The availability of analytical frameworks such as the syndemic perspective could help to identify areas of opportunity for decision making and actions for population groups that-because of their individual, contextual and structural disadvantages-are at greater risk of experiencing poorer health outcomes due to the presence of T2D and depressive symptoms.

Pandemics, past and present: The role of biological anthropology in interdisciplinary pandemic studies

Biological anthropologists are ideally suited for the study of pandemics given their strengths in human biology, health, culture, and behavior, yet pandemics have historically not been a major focus of research. The COVID‐19 pandemic has reinforced the need to understand pandemic causes and unequal consequences at multiple levels. Insights from past pandemics can strengthen the knowledge base and inform the study of current and future pandemics through an anthropological lens. In this paper, we discuss the distinctive social and epidemiological features of pandemics, as well as the ways in which biological anthropologists have previously studied infectious diseases, epidemics, and pandemics. We then review interdisciplinary research on three pandemics–1918 influenza, 2009 influenza, and COVID‐19–focusing on persistent social inequalities in morbidity and mortality related to sex and gender; race, ethnicity, and Indigeneity; and pre‐existing health and disability. Following this review of the current state of pandemic research on these topics, we conclude with a discussion of ways biological anthropologists can contribute to this field moving forward. Biological anthropologists can add rich historical and cross‐cultural depth to the study of pandemics, provide insights into the biosocial complexities of pandemics using the theory of syndemics, investigate the social and health impacts of stress and stigma, and address important methodological and ethical issues. As COVID‐19 is unlikely to be the last global pandemic, stronger involvement of biological anthropology in pandemic studies and public health policy and research is vital.

Associations of the COVID-19 pandemic with social well-being indicators in Mexico

BACKGROUND

Public health measures for COVID-19 containment have implied economic and social life disruptions, which have been particularly deleterious in low- and middle-income countries (LMIC) due to high rates of informal employment, overcrowding, and barriers to accessing health services, amongst others social determinants. Mexico, a LMIC, is a country with a high COVID-19 mortality in which there has been a very limited governmental response to help mitigate such COVID-related disruptions. This study analyzes the association of the first wave of the COVID-19 crisis in Mexico with four well-being indicators: income, employment, anxiety, and food security.

METHODS

It uses pooled cross-sectional data (n = 5453) of five monthly nationally representative surveys collected between April and August 2020. Probit models are estimated to assess the association of the pandemic with job loss and anxiety; a multinomial logistic regression is estimated for food security, and an ordinary least squares regression assesses the association between the pandemic and changes in household's income.

RESULTS

Females were significantly associated with worse outcomes for the 4 well-being measures with an average reduction of 2.3% in household income compared to pre-COVID-19 levels, an increased probability (6.4 pp) of being in a household that had lost jobs, decreased probability of food security (6.9 pp), and an increased risk of anxiety symptoms (8.5 pp). In addition, those with lower SES and household with children also reported worse outcomes for employment, income and food security. The month variable was also statistically significant in these models suggesting that as more months of the pandemic elapsed the effects persisted.

CONCLUSION

The currents study documents how the COVID-19 pandemic is associated with different well-being indicators in a LMIC. It suggests the urgent need to take actions to support vulnerable groups, particularly women, households with children and those in the lowest SES. If policy actions are not taken, the pandemic will increase social and gender disparities, and will jeopardize childhood development.

Applying a socioecological framework to chronic disease management: implications for social informatics interventions in safety-net healthcare settings

Objective

Vulnerable populations face numerous barriers in managing chronic disease(s). As healthcare systems work toward integrating social risk factors into electronic health records and healthcare delivery, we need better understanding of the interrelated nature of social needs within patients' everyday lives to inform effective informatics interventions to advance health equity.

Materials and Methods

We conducted in-depth interviews, participant-led neighborhood tours, and clinic visit observations involving 10 patients with diabetes in underserved San Francisco neighborhoods and 10 community leaders serving those neighborhoods. We coded health barriers and facilitators using a socioecological framework. We also linked these qualitative data with early persona development, focusing on patients' experiences in these communities and within the healthcare system, as a starting place for our future informatics design.

Results

We identified social risk and protective factors across almost every socioecological domain and level-from physical disability to household context to neighborhood environment. We then detailed the complex interplay across domains and levels within two critical aspects of patients' lives: housing and food. Finally, from these data we generated 3 personas that capture the intersectional nature of these determinants.

Conclusion

Drawing from different disciplines, our study provides a socioecological approach to understanding health promotion for patients with chronic disease in a safety-net healthcare system, using multiple methodologies. Future digital health research should center the lived experiences of marginalized patients to effectively design and implement informatics solutions for this audience.

A mixed-methods, population-based study of a syndemic in Soweto, South Africa

A syndemic has been theorized as a cluster of epidemics driven by harmful social and structural conditions wherein the interaction between the constitutive epidemics drive excess morbidity and mortality. We conducted a mixed-methods study to investigate a syndemic in Soweto, South Africa, consisting of a population-based quantitative survey (N=783) and in-depth, qualitative interviews (N=88). We used ethnographic methods to design a locally relevant measure of stress. Here we show that multimorbidity and stress interacted with each other to reduce quality of life. The paired qualitative analysis further explored how the quality of life impacts of multimorbidity were conditioned by study participants’ illness experiences. Together these findings underscore the importance of recognizing the social and structural drivers of stress and how they affect the experience of chronic illness and well-being.

Unpacking the "black box" of global food insecurity and mental health

Food insecurity is a global concern. While it was once characterized mainly as a problem of undernutrition, it is now recognized that a person may be food insecure without experiencing hunger. Numerous studies have demonstrated that food insecurity is strongly related to poor mental health around the world, but the mechanisms that underpin that relationship remain poorly understood. One body of research from nutritional sciences posits that nutrient deficiency impacts brain function, producing symptoms of depression and anxiety. Another body of research from the social sciences posits that the social consequences of having to eat non-preferred foods or obtain food in socially unacceptable ways may compromise mental health through stress. This study was designed to clarify the mechanisms linking food insecurity and mental health using case studies in rural Brazil and urban Ethiopia. Working with samples consisting of about 200 adult household decision-makers (mostly female) recruited between 2015 and 2019 at each site, we tested for nutritional and social mediation of the food insecurity-mental health relationship using multivariable linear regression and mediation analysis. Our analyses found no evidence of mediation in either setting. Moreover, there was no association between nutritional status variables and food insecurity. These findings suggest that food insecurity likely impacts mental health directly through forms of basic needs deprivation, such as worrying about where one's next meal will come from, rather than by acting as a social signal or even by impacting nutritional status. These results underscore the power of basic-needs deprivation for impacting mental health.