Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.
Advertisement
Nature Medicine volume 28, pages 1359–1362 (2022)
2014
10
Metrics details
The theory of syndemics has received increasing attention in clinical medicine since the onset of the COVID-19 pandemic, due to the synergistic interactions of the disease with pre-existing political, structural, social and health conditions. In simple terms, syndemics are synergistically interacting epidemics that occur in a particular context with shared drivers. When policymakers ask why some communities have higher death rates from COVID-19 compared with other communities, those working from a syndemics framework argue that multiple factors synergistically work in tandem, and populations with the highest morbidity and mortality experience the greatest impact of these interactions. In this Perspective, we use specific case examples to illustrate these concepts. We discuss the emergence of syndemics, how epidemics interact, and what scientists, clinicians and policymakers can do with this information.
The COVID-19 pandemic has transformed the world in myriad ways, including how we think about and study diseases, from where they originate and how they interact with other conditions, to recognizing who is most affected and where. The term ‘syndemic’ (Box 1) has been increasingly associated with COVID-19 (ref. 1) because its severity and impacts around the world have not been uniformly distributed across populations. The pandemic has demonstrated how political actions to support public health and the historical patterning of chronic health conditions are situated within contexts of great inequity, which profoundly affect who is most vulnerable, as well as where and why this vulnerability exists2. The co-occurence of COVID-19 with pre-existing epidemics, from cancer and diabetes to HIV, has shown that people with weakened immune systems have an increased risk of morbidity and mortality3. But local contexts, often called social and political determinants of health, cannot be dissociated from these pre-existing conditions, particularly in areas where those conditions are most concentrated4. This was particularly evident in the United States, where racism (historic and current) and the distribution of resources had an extraordinary influence on which communities were affected the most by COVID-19 (ref. 5).
The theory of syndemics focuses both on disease concentration (the where) and disease interactions (the how), and so provides a useful framework for understanding population health and disease drivers, and for formulating appropriate interventions. Syndemic theory was originally described by critical medical anthropologist Merrill Singer, who sought to explain how HIV manifested among inner-city residents of Hartford, Connecticut, in the United States6. Singer argued that the local HIV epidemic could not be understood in isolation, separate from the local epidemic of substance use, because the pathways of transmission were inextricably linked and deepened by structural violence. He proposed the ‘SAVA’ syndemic to illuminate how the epidemics of substance use, violence and HIV were intertwined and mutually reinforcing of one another in the local context7. The SAVA syndemic framework is now widely used to develop interventions in the field of HIV8,9,10. The interactions between diseases, which are largely biological but can also be social and psychological, are closely linked to clinical medicine. Recognizing that the concentration of, and interactions between diseases have a history and may share an origin provides a social context for clinical care, while also enhancing our understanding of how policy interventions facilitate health and healthcare.
The theory of syndemics has received increasing attention in clinical medicine, with recent applications to critical illness11, sexually transmitted infections12 and structural racism5. Syndemic frameworks emphasize the disease interactions that underlie multiple convergent public health issues such as overweight and obesity, injection drug use, poverty, structural racism, gender-based violence, climate change and so on. Indeed, it is crucial to recognize, interpret and treat non-medical conditions as well as medically diagnosable ones; this is a central tenet of the syndemic project and is fundamental for clinical practice.
In this Perspective, we provide an introduction to syndemic theory; we invite readers to apply syndemic thinking to clinical care and to consider how clinical interventions play a role in mitigating syndemic effects perpetuated through deleterious environments. We also explore two case examples: the first involving depression and diabetes in Mexican immigrants in the United States, and the second involving people from sexual and gender minority populations (LGBT+ people) confronting HIV and criminality, to illustrate the key concepts of syndemic theory. Finally, we discuss modeling syndemic care in clinical contexts.
The theory of syndemics proposes that the synergies of epidemics are fundamental for understanding what diseases emerge, where, and why4,10. Three overarching characteristics define a syndemic: two or more epidemics must
co-occur within certain contexts;
interact in meaningful ways, often through biological processes but potentially through social or psychological processes; and
share one or more upstream factors driving their co-occurrence and interaction, which may include dynamics that are structural, social, cultural, ecological and economic in nature.
Three tenets of syndemic theory frame which co-occurring epidemics are thought to comprise a syndemic and which do not13. First, two or more diseases concentrate within a population; often this relationship is well documented in the epidemiological literature, for example, as a comorbid or multi-morbid relationship. Second, disease interactions are measurable through bio-bio, bio-social, or bio-psychological pathways. These may include well-documented interactions in biology (such as inflammation) or less well-documented socio-cultural processes (such as stigma14). Third, large-scale forces precipitate this concentration of disease, from the macro-level (such as structural violence and food insecurity) to the meso-level (such as stigma and discrimination) and micro-level (such as interpersonal violence). Clinicians may feel that attending to issues outside the narrow frame of the clinical encounter (for example, structural violence and immigration policy) may be beyond the scope of their expertise. Others may disagree15. We argue that understanding how structural and contextual factors drive psychological distress, safety, fear and fragmented care for chronic conditions fits within the contours of clinical care. Deciphering how these broader problems fuel interactions in the clinical encounter is essential for thinking about who needs psychotherapy, financial assistance, legal assistance, assistance with medication access, and other clinically relevant needs.
Disease interaction is a lynchpin of syndemic theory, and understanding it is an activity that sits squarely in the domain of clinical medicine. However, scholars disagree about how this aspect of the theory should be operationalized empirically, either at the individual level (that is, how two diseases interact and the implication for an individual) or at the population level (that is, how two epidemics interact and the implication for a population)9,16,17,18. Without an identified interaction, even at the individual level (such as the interaction between inflammatory bowel disease and stigma19), it is difficult to argue that a syndemic is present; the interaction itself is thought to significantly worsen the health of people experiencing the clustered conditions4. By understanding what drives diseases, and how and where diseases occur and interact, we can think more strategically and innovatively about intervening and providing effective care for not one health condition but for a cluster of social and health conditions.
The characteristics of a syndemic are given in Fig. 1, which shows how two diseases may have high rates of comorbidity in one social, economic or geographic context but may be infrequently comorbid in other contexts. The role of context is fundamental because the social, economic and geographic factors that contribute to disease interaction in one context may not be present, or may not have the same relationship with disease interaction, in another context. The contextual differences may involve healthcare systems (for example, the presence or absence of universal health insurance or universal healthcare provision), dietary practices that contribute to obesity or micronutrient deficiencies, religious or political beliefs (for example, vaccine hesitancy and refusal in different regions of Nigeria over the past two decades20,21, or the spread of vaccine misinformation in certain segments of the US Republican party22), indoor air pollution resulting from different models of household food production and fuel consumption, environmental events due to climate change (for example, heat waves in Bangladesh), and gender-inequitable policies and norms.
A syndemic relationship requires the demonstration of greater morbidity or mortality for two health conditions in particular contexts (social, structural and economic conditions) compared with the health outcomes for the same conditions in other contexts. Image adapted with permission from ref. 46, Wolters Kluwer Health.
There is evidence that some health conditions interact with COVID-19 in particular contexts, thus suggestive of a syndemic, whereas other conditions do not show contextual diversity in their COVID-19 interactions. For example, the interaction between diabetes and COVID-19 would not be characterized as a syndemic in contexts such as Rwanda, where COVID-19 mortality is not greater among people with diabetes; whereas in other contexts such as the United States, diabetes and COVID-19 are syndemic and are associated with significant morbidity and mortality23. Similarly, musculoskeletal conditions present a high risk for COVID-19-related fatality in lower income countries but not necessarily in higher income countries24, possibly because of the inflammatory pathways associated with these conditions, and because of the lack of existing care for these conditions in lower income contexts.
Intervention in the setting of a syndemic will require public health officials and clinicians to consider the clinical and/or upstream interventions that are the most effective for a given set of patients. The need for coordinating policy and clinical interventions has long been exemplified in HIV-related syndemics, where deleterious interactions of multiple health conditions within specific contexts persist. More recently, scholars have suggested that chronic non-communicable diseases, including mental illness25, have become critical comorbidities to HIV26, and have suggested consequential syndemic relationships that are important to understand for HIV-related policy and clinical practice. For instance, mental health screening and treatment could be integrated into HIV care settings to improve HIV treatment and prevention outcomes as well as mental health27, but this organization of care delivery is generally important across contexts and therefore is not specific to syndemic care. By contrast, widening the lens of screening to include specific social drivers of mental health in people living with HIV would represent syndemic care28. Types of discrimination according to race and ethnicity, gender and health status vary by context, therefore the particular vulnerabilities in a given setting would be important to screen for. Given the wide variability in insurance coverage, it is not enough to screen for presence or absence of insurance, instead it is necessary to screen for which particular coverage is available, including its support for mental health and other services. In this way, syndemic-oriented research aligns closely with scholarship on structural competency29, with an emphasis on reducing exposure to negative social drivers and increasing exposure to positive social drivers, to improve the health of individuals and populations.
Although clinicians may not have the economic, political or administrative training to implement interventions to address social and structural drivers of disease, recognizing how and why certain clustered epidemics emerge is important for thinking through the complexity of intervention packages needed to improve outcomes at the individual level. In what follows, we provide a few specific examples of how syndemic thinking can inform clinical care.
A widely used example considers a syndemic of violence, racist immigration policy, diabetes, depression and abuse among Mexican immigrant women living in the Chicago metropolitan area30. In a mixed-methods study consisting of data collected through life history narrative interviews, biological specimens, and validated psychiatric instruments, this study showed how interpersonal violence and fear (bound to immigration policy) drove distress. These experiences linked stress and trauma from undocumented migration and navigating a racist immigration system, to the deleterious effects of living with chronic illness (diabetes) amidst financial uncertainty. In this case, the adverse health effects of these larger forces, often obscured, could be observed in the epidemiological data demonstrating the close biological and psychological links between depression and type 2 diabetes30. A central focus of this work was to describe how study participants, despite seeking care for diabetes or being identified by the state as having diabetes (for example, via Medicaid), could not become well without healing from their emotional wounds and overcoming structural barriers such as lack of safety and food31. In this way, their diabetes was entangled in a feedback loop with traumatic memories, family stress, chronic financial uncertainty and untreated depression that required nuanced care and support from the clinic, their community and their families30.
A second case example involves synergistic interactions between HIV, depression and substance use resulting from intersectional stigma and criminalization of LGBT+ people. Intersectional stigma refers to a social process by which people holding multiple socially devalued identities are mistreated and deprived of power and opportunities (for example, due to racism, homophobia, transphobia, and HIV-related stigma, among others)28,32. The synergistic interactions between these factors have been highlighted in research in Canada, Scotland, Wales, Northern Ireland and the Republic of Ireland33, illustrating how poorer health outcomes are conditioned by social experiences of stigma and discrimination33 as well as how protective factors such as community cohesion may shield people from poorer health. These HIV-associated syndemics have been documented in diverse settings, although to much more severe degrees in settings in which there are no human rights protections for sexually diverse people. For instance, in a setting such as Nigeria, where same-sex sexual practices are punishable by imprisonment and, in 12 of the northern states, death and there are no human rights protection for LGBT+ people, the introduction of the 2014 Same Sex Prohibition Act was associated with reduced HIV care engagement in sexually diverse people, owing to a fear of seeking healthcare and healthcare avoidance34. Relatedly, stigma and family rejection contributed to mental health challenges, poor sleep35 and substance use which, in turn, contributed to sexual practices associated with elevated disease risk36.
Training for clinicians to provide LGBT+-affirming care and to link patients with needed social, legal and mental health resources37 is crucial; for example, the provision of gender-affirming documents has been associated with improved mental health outcomes among transgender adults in the United States38. Even in contexts in which same-sex practices are not criminalized, a lack of human rights protections for LGBT+ people can mean that legislative changes have a substantial impact on health and wellbeing. For instance, in the United States many states have not legalized same-sex marriage, despite the fact that this is linked to improved mental health in LGBT+ people in this context39 as well as other contexts40. Recent legislative changes in Florida regarding the so-called ‘don’t say gay’ bill (Florida Senate house bill 1557; ref. 41), which prohibits classroom instruction on sexual and gender identity for young children, could present syndemic co-conditions. The threats and limitations placed upon health providers, educators and others who support and provide social, educational and health resources to LGBT+ youth may lead to a greater risk of undiagnosed and untreated mental health conditions, alongside risks for the transmission of HIV and other sexually transmitted infections. Syndemic thinking applied in contexts that criminalize LGBT+ people, such as the example of Nigeria, and contexts in which the rights of LGBT+ people are not protected, such as regions in the United States, would involve not only consideration of the interactions between sexual, mental and physical health outcomes and the influence of social drivers of stigma and violence, but also attending to structural contexts of legal protection, healthcare mis/treatment, availability of affirming and competent healthcare, and access to human rights.
A holistic and translational research approach can yield appropriate clinical interventions to mitigate syndemic interactions. First, basic research is needed to understand the pathways linking social, developmental and environmental factors to biological processes. Second, preclinical research that tests applicable models for the impacts of social and physical environments (for example, neurodevelopment in conditions simulating high stress42) can be fundamental for recognizing which interventions require further evaluation in the clinical setting. Third, clinical research may involve ethnographic studies and randomized trials with different populations across diverse social, economic and geographic contexts. This point is crucial because syndemics are context dependent. Fourth, evaluating how interventions may perform differently across contexts is central to clinical implementation. In other words, local cultural beliefs, social practices, ways of knowing, and healthcare systems may affect which clinical interventions work most effectively and where. Finally, public health is central to mitigating syndemics by identifying different patterns of comorbidity explained by social, economic and geographic contexts.
Syndemic thinking requires a shift in clinical practice, to look beyond diseases and think about how social distress, especially when it becomes chronic, can undermine clinical interventions for co-occurring conditions. For this reason protective factors, including community support groups43, social support and cultural resources44, home visits, and mental healthcare45 are essential components of syndemic interventions. Future efforts in syndemic thinking should seek to evaluate and incorporate these multiple levels of influence into clinical care in a way that enhances health and wellness for people throughout their lives.
Horton, R. Offline: COVID-19 is not a pandemic. Lancet 396, 874 (2020).
CAS PubMed PubMed Central Article Google Scholar
Mendenhall, E. The COVID-19 syndemic is not global: context matters. Lancet 30, 17848 (2020).
Google Scholar
Islam, N. et al. Social inequality and the syndemic of chronic disease and COVID-19: county-level analysis in the USA. J. Epidemiol. Community Health 75, 496–500 (2021).
Article Google Scholar
Singer, M., Bulled, N., Ostrach, B. & Mendenhall, E. Syndemics and the biosocial conception of health. Lancet 389, 941–950 (2017).
PubMed Article Google Scholar
Gravlee, C. C. Systemic racism, chronic health inequities, and COVID-19: a syndemic in the making? Am. J. Hum. Biol. 32, e23482 (2020).
PubMed PubMed Central Article Google Scholar
Singer, M. C. Aids and the health crisis of the U.S. urban poor: the perspective of critical medical anthropology. Soc. Sci. Med. 39, 931–948 (1994).
CAS PubMed Article Google Scholar
Singer, M. Dose of drugs, a touch of violence, a case of AIDS: conceptualizing the SAVA syndemic. Free Inq. Creative Sociol. 24, 99–110 (1996).
Google Scholar
Stall, R. et al. Association of co-occurring psychosocial health problems and increased vulnerability to HIV/AIDS among urban men who have sex with men. Am. J. Public Health 93, 939–942 (2003).
PubMed PubMed Central Article Google Scholar
Tsai, A. C. & Burns, B. F. O. Syndemics of psychosocial problems and HIV risk: a systematic review of empirical tests of the disease interaction concept. Soc. Sci. Med. 139, 26–35 (2015).
PubMed PubMed Central Article Google Scholar
Mendenhall, E. & Singer, M. What constitutes a syndemic? Methods, contexts, and framing from 2019. Curr. Opin. HIV AIDS 15, 213–217 (2020).
PubMed Google Scholar
Rudd, K., Mair, C. & Angus, D. Applying syndemic theory to acute illness. JAMA 327, 33–34 (2022).
CAS PubMed Article Google Scholar
Gandhi, M., Spinelli, M. & Mayer, K. Addressing the sexually transmitted infection and HIV syndemic. JAMA 321, 1356–1358 (2019).
PubMed PubMed Central Article Google Scholar
Tsai, A. C. Syndemics: a theory in search of data or data in search of a theory?. Soc. Sci. Med. 206, 117–122 (2018).
PubMed PubMed Central Article Google Scholar
Link, B. G. & Phelan, J. C. Conceptualizing stigma. Annu. Rev. Sociol. 27, 363–385 (2001).
Article Google Scholar
Ranney, M. L., Betz, M. E. & Dark, C. #ThisIsOurLane: firearm safety as health care’s highway. N. Engl. J. Med. 380, 405–407 (2019).
PubMed Article Google Scholar
Tsai, A. C., Mendenhall, E., Trostle, J. & Kawachi, I. Co-occurring epidemics, syndemics, and population health. Lancet 389, 978–982 (2017).
PubMed PubMed Central Article Google Scholar
Stall, R., Coulter, W. S., Reuel Friedman, R. & Plankey, W. M. Commentary on ‘Syndemics of psychosocial problems and HIV risk: a systematic review of empirical tests of the disease interaction concept’ by A. Tsai and B. Burns. Soc. Sci. Med. 145, 129–131 (2015).
PubMed Article Google Scholar
Tsai, A. & Venkataramani, A. Syndemics and health disparities: a methodological note. AIDS Behav. 20, 423–430 (2016).
PubMed PubMed Central Article Google Scholar
Taft, T. & Keefer, L. A systematic review of disease-related stigmatization in patients living with inflammatory bowel disease. Clin. Exp. Gastroenterol. 9, 49–58 (2016).
PubMed PubMed Central Google Scholar
Ghinai, I., Willott, C., Dadari, I. & Larson, H. J. Listening to the rumours: what the northern Nigeria polio vaccine boycott can tell us ten years on. Glob. Public Health 8, 1138–1150 (2013).
PubMed PubMed Central Article Google Scholar
Wonodi, C. et al. Conspiracy theories and misinformation about COVID-19 in Nigeria: implications for vaccine demand generation communications. Vaccine 40, 2114–2121 (2022).
CAS PubMed PubMed Central Article Google Scholar
Dhanani, L. Y. & Franz, B. A meta-analysis of COVID-19 vaccine attitudes and demographic characteristics in the United States. Public Health 207, 31–38 (2022).
CAS PubMed Article Google Scholar
Corona, G. et al. Diabetes is most important cause for mortality in COVID-19 hospitalized patients: systematic review and meta-analysis. Rev. Endocr. Metab. Disord. 22, 275–296 (2021).
CAS PubMed PubMed Central Article Google Scholar
Jindal, H. A. et al. Higher coronavirus disease-19 mortality linked to comorbidities: a comparison between low-middle income and high-income countries. J. Educ. Health Promot. 10, 377 (2021).
PubMed PubMed Central Google Scholar
Remien, R. H. et al. Mental health and HIV/AIDS: the need for an integrated response. AIDS 33, 1411–1420 (2019).
PubMed Article Google Scholar
Mendenhall, E., Kohrt, B. A., Norris, S. A., Ndetei, D. & Prabhakaran, D. Non-communicable disease syndemics: poverty, depression, and diabetes among low-income populations. Lancet 389, 951–963 (2017).
PubMed PubMed Central Article Google Scholar
Ikeda, D. J., Kidia, K., Agins, B. D., Haberer, J. E. & Tsai, A. C. Roll-out of HIV pre-exposure prophylaxis: a gateway to mental health promotion. BMJ Glob. Health 6(12), e007212 (2021).
PubMed PubMed Central Article Google Scholar
Logie, C. H. et al. A longitudinal study of associations between HIV‐related stigma, recent violence and depression among women living with HIV in a Canadian cohort study. J. Int. AIDS Soc. 22(7), e25341 (2019).
PubMed PubMed Central Article Google Scholar
Metzi, J. M. & Hansen, H. Structural competency: theorizing a new medical engagement with stigma and inequality. Soc. Sci. Med. 103, 126–133 (2014).
Article Google Scholar
Mendenhall, E. Syndemic Suffering: Social Distress, Depression, and Diabetes among Mexican Immigrant Women (Routledge, 2012).
Mendenhall, E. Beyond comorbidity: a critical perspective of syndemic depression and diabetes in cross-cultural contexts. Med. Anthropol. Q. 30, 462–478 (2015).
PubMed PubMed Central Article Google Scholar
Logie, C. H., James, L., Tharao, W. & Loutfy, M. R. HIV, gender, race, sexual orientation, and sex work: a qualitative study of intersectional stigma experienced by HIV-positive women in Ontario, Canada. PLoS Med. 8(11), e1001124 (2011).
PubMed PubMed Central Article Google Scholar
McDaid, L. M. et al. Informing theoretical development of salutogenic, asset-based health improvement to reduce syndemics among gay, bisexual and other men who have sex with men: empirical evidence from secondary analysis of multi-national, online cross-sectional surveys. SSM Popul. Health 10, 100519 (2019).
PubMed PubMed Central Article Google Scholar
Schwartz, S. R. et al. The immediate effect of the Same-Sex Marriage Prohibition Act on stigma, discrimination, and engagement on HIV prevention and treatment services in men who have sex with men in Nigeria: analysis of prospective data from the TRUST cohort. Lancet HIV 2, E299–E306 (2015).
PubMed PubMed Central Article Google Scholar
Ogunbajo, A. et al. Poor sleep health is associated with increased mental health problems, substance use, and HIV sexual risk behavior in a large, multistate sample of gay, bisexual and other men who have sex with men (GBMSM) in Nigeria, Africa. Sleep Health 6, 662–670 (2020).
PubMed PubMed Central Article Google Scholar
Ogunbajo, A. et al. Experiences of minority stress among gay, bisexual, and other men who have sex with men (GBMSM) in Nigeria, Africa: the intersection of mental health, substance use, and HIV sexual risk behavior. Glob. Public Health 16, 1696–1710 (2021).
PubMed Article Google Scholar
Poteat, T. C., Logie, C. H. & van der Merwe, L. L. A. Advancing LGBTQI health research. Lancet 397, 2031–2033 (2021).
PubMed Article Google Scholar
Scheim, A. I., Perez-Brumer, A. G. & Bauer, G. R. Gender-concordant identity documents and mental health among transgender adults in the USA: a cross-sectional study. Lancet Public Health 5, 196–203 (2020).
Article Google Scholar
Hatzenbuehler, M. L. et al. Effect of same-sex marriage laws on health care use and expenditures in sexual minority men: a quasi-natural experiment. Am. J. Public Health 102, 285–291 (2012).
PubMed PubMed Central Article Google Scholar
Huang, Y.-T. & Liang, Z. Effects of same-sex marriage legalization for sexual minority men in Taiwan: findings from a prospective study. Int. J. Public Health 67, 1604489 (2022).
PubMed PubMed Central Article Google Scholar
Judiciary Committee, Education and Employment Committee, Harding & Grall. CS/CS/HB 1557: Parental Rights in Education (The Florida Senate, 2022).
Karmacharya, R., Kieling, C. & Mondelli, V. Integrating stem cell-based experiments in clinical research. Eur. Psychiatry 63, e62 (2020).
PubMed PubMed Central Article Google Scholar
Mendenhall, E. et al. A mixed-methods, population-based study of a syndemic in Soweto, South Africa. Nat. Hum. Behav. 6, 64–73 (2022).
PubMed Article Google Scholar
Organista, K., Jung, W. & Neilands, T. A structural–environmental model of alcohol and substance-related sexual HIV risk in Latino migrant day laborers. AIDS Behav. 24, 3176–3191 (2020).
PubMed Article Google Scholar
Safren, S. A. et al. Addressing syndemics and self-care in individuals with uncontrolled HIV: an open trial of a transdiagnostic treatment. AIDS Behav. 24, 3264–3278 (2020).
CAS PubMed PubMed Central Article Google Scholar
Bhardwaj, A. & Kohrt, B. A. Syndemics of HIV with mental illness and other noncommunicable diseases: a research agenda to address the gap between syndemic theory and current research practice. Curr. Opin. HIV AIDS 15, 226–231 (2020).
PubMed PubMed Central Google Scholar
Download references
Edmund A. Walsh School of Foreign Service, Georgetown University, Washington, DC, USA
Emily Mendenhall
SAMRC/Wits Developmental Pathways for Health Research Unit, Faculty of Health Science, University of Witwatersrand, Johannesburg, South Africa
Emily Mendenhall
Department of Psychiatry, George Washington University, Washington, DC, USA
Brandon A. Kohrt
Factor-Inwentash Faculty of Social Work, University of Toronto, Toronto, Ontario, Canada
Carmen H. Logie
Centre for Gender and Sexual Health Equity, Vancouver, British Columbia, Canada
Carmen H. Logie
United Nations University Institute for Water, Environment and Health, Hamilton, Ontario, Canada
Carmen H. Logie
Center for Global Health and Mongan Institute, Massachusetts General Hospital, Boston, MA, USA
Alexander C. Tsai
Harvard Medical School, Boston, MA, USA
Alexander C. Tsai
Mbarara University of Science and Technology, Mbarara, Uganda
Alexander C. Tsai
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
Correspondence to Emily Mendenhall.
E.M., B.A.K. and A.C.T. receive a financial honorarium from Elsevier, Inc. for their work as Co-Editors-in-Chief of the journal SSM – Mental Health. C.H.L. has no competing interests.
Nature Medicine thanks Inês Fronteira and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Primary Handling Editor: Karen O’Leary, in collaboration with the Nature Medicine team.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Reprints and Permissions
Mendenhall, E., Kohrt, B.A., Logie, C.H. et al. Syndemics and clinical science. Nat Med 28, 1359–1362 (2022). https://doi.org/10.1038/s41591-022-01888-y
Download citation
Received: 10 March 2022
Accepted: 07 June 2022
Published: 21 July 2022
Issue Date: July 2022
DOI: https://doi.org/10.1038/s41591-022-01888-y
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative
Advertisement
Advanced search
© 2022 Springer Nature Limited
Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.