Chronic Obstructive Pulmonary Diseases:Journal of the COPD Foundation

Running Head: Editorial: COPD, Multimorbidity, and Poverty

Funding: Not applicable

Date of Publication: September 27, 2024

Abbreviations: COPD=chronic obstructive pulmonary disease

Citation: Hayes SA, Bhatia-Lin AL, Campbell J, Baugh A. A syndemic model: COPD, multimorbidity, and poverty. Chronic Obstr Pulm Dis. 2024; 11(5): 437-443. doi: http://doi.org/10.15326/jcopdf.2024.0558

Introduction

A well-known proverb tells us that the poor will always be with us. Disappointingly, despite sustained clinical attention and research funding, it can sometimes feel that the same is true of chronic obstructive pulmonary disease (COPD). What explains the lack of progress in improving disease outcomes? One possibility is that the persistence of these 2 problems is connected. In a recent perspective by Fabbri and colleagues, COPD is described as part of a syndemic of multiple co-occurring chronic conditions.1 This builds on existing guideline statements and the reality that individuals with COPD suffer from an average of 5 chronic diseases.1-3 However, we believe that the value of this model is more than incremental. Heretofore, syndemic theory has mostly been applied to diseases that disproportionately impact those of low socioeconomic status. It moves away from a single-disease management approach to place multimorbidity and social justice at its theoretical core.4 We extend Fabbri’s proposal to explore its clinical and policy implications and propose the next steps to ground the theory through empirical evaluation.

Syndemic Theory

Syndemic theory posits that diseases cluster due to mutually exacerbating upstream factors such as racism, structural injustice, and maladaptive medical systems.4,5 To qualify as a syndemic, 2 or more diseases must co-occur within a specific population and share common causative contextual and social factors. The final criterion is that involved diseases must synergistically and bidirectionally multiply each other’s burden.4,6-8 Like the eco-social and fundamental cause theories, syndemic theory highlights how health conditions emerge within their social, ecological, and political domains. Uniquely, syndemic theory focuses on biological mechanisms, thereby, bridging the medical and social sciences. For those interested in reducing health disparities in COPD, syndemic thinking offers a roadmap for upstream policy and downstream clinical interventions.

COPD, Multimorbidity, and Poverty – A Proposed Syndemic

Instead of identifying one or more single diseases in their proposed syndemic, Fabbri et al1 identified multimorbidity itself as the syndemic associated with COPD. Commonly co-occurring conditions with COPD include cardiovascular and other respiratory diseases, osteoporosis, muscle wasting, metabolic disorders, and neuropsychiatric disorders.1,9 For several of these, they developed phenotypic descriptions for unique patterns of clinical and biomarker expressions in COPD. Examining these phenotypes can demonstrate how multiple comorbidities concentrate with COPD in temporal or geographic contexts, and interactively influence disease burden.1,9 For instance, among both tobacco-smoking and nonsmoking patients with COPD, cardiovascular mortality is positively associated with airflow obstruction.10,11 Conversely, compared to individuals with COPD alone, those with cardiovascular disease have a significantly higher risk of mortality,12 suggesting a bidirectional interaction. Similarly, the degree of airflow obstruction in COPD is independently associated with reduced bone mineral density,13 while low bone mineral density is associated with increased COPD-specific and all-cause mortality, even after controlling for airflow obstruction and physical activity.14,15 While warranting further empiric confirmation, Fabbri’s theory emphasizes that beyond chance, multimorbidity appears to be a fundamental feature of many individuals who develop COPD.1

The syndemic theory, grounded in the biosocial conception of health, posits that social and environmental conditions contribute to the development, clustering, and progression of diseases within a population.6 COPD develops from complex and cumulative gene-environment interactions that begin in conception and continue through adulthood (see Figure 1).16 Exposure to stress across the lifespan, referred to as the exposome, leads to epigenetic changes, alterations in gene expression, and changes in the immune system that alter organ development and cellular aging.16,17 Examples of early life stressors proposed to impact COPD include exposure to second-hand smoke, childhood respiratory infections, asthma, poor nutrition, and air pollution.17,18 In addition to these factors, the stress associated with adverse childhood experiences leads to alterations in biological function through a process known as embodiment and increases the risk of developing chronic lung disease later in life.19,20 Throughout adulthood, further exposure to tobacco smoke, environmental pollution, occupational toxins, and stress compound with early life risk to influence the age at COPD presentation, disease severity, and speed of progression.18 Many of these risk factors are not unique to COPD and contribute to the synchronous development of comorbid chronic conditions.1,16,18 All are hazards associated with marginalization and low socioeconomic status.

JCOPDF-2024-0558-Figure1

Integrating life course epidemiology and the principles of gene-environment-time interactions, syndemic theory helps elucidate the causality between policy and COPD comorbidity. At the macro level, many of the aforementioned exposures cluster within areas of high socioeconomic disadvantage.21 Racism, segregation, institutional disinvestment, and other forms of structural and interpersonal violence underpin much of the persistent concentration of poverty in these locales.22 Individuals from more disadvantaged neighborhoods are more likely to reside near polluting industries, suffer occupational toxic exposures, have unsafe or inadequate housing, and experience daily and unremitting levels of toxic emotional stress.23-25 The evidence base linking poverty to chronic disease, including COPD and its comorbidities,26-29 is undeniable and staggering. As the rising terminology of “social drivers” of health suggests, this is not a predetermined fate but the result of deliberate and reversible policy choices.

Treatment and Policy Implications

Individuals with COPD fall through the cracks at multiple levels within our health care system. It is estimated that up to 80% of people with COPD are undiagnosed, delaying interventions that could reduce the morbidity and mortality associated with disease progression.30,31 Once diagnosed, the treatment approach to COPD remains largely dependent on overburdened primary care providers separately managing multiple comorbidities within a fragmented fee-for-service health care system.32 Individuals diagnosed with COPD, even those on optimal guideline-concordant therapy, often suffer poor quality of life and increased mortality.33 Multimorbidity exacerbates poor outcomes for individuals with COPD.10 Applying syndemic theory encourages several points of intervention.34

First, it brings renewed attention to the poor and underserved. Guideline adherence in COPD care is chronically poor.35 Cost is an important contributing factor.36 Trials to address this concern, whether through direct subsidy or conversion to generic inhaled agents, have each demonstrated over 50% relative improvements in treatment adherence.37,38 Aligned with these results, Illinois recently passed legislation39 to cap copays for inhalers at $25. Conceiving the disease in a way that centers its ties to poverty would clarify the need for broad adoption of such reforms. From a research perspective, the traditional, single-disease−focused system has collected too little data from racial/ethnic minorities and left unanswered questions about the ideal management of patients with comorbidities.40 A syndemic-informed perspective that broadened inclusion criteria would align with current recommendations to improve clinical trial diversity.41,42 In fact, because racial/ethnic minorities with COPD are more clinically impacted by comorbidities than their non-Hispanic White counterparts,43 it would further incentivize intentional recruitment efforts.

Another major benefit of syndemic theory is encouraging a more holistic management approach that places the individual at the center of an integrated, collaborative care system.34 Such models have already been shown to improve guideline-concordant care and quality of life for patients with COPD.44,45 Nonetheless, they less commonly incorporate social services or community-level interventions. The syndemic framework expands traditional collaborative care to include accessible screening and management of comorbidities as well as identification of the specific social drivers of syndemic conditions.7 It promotes the incorporation of alternate care providers (e.g., pharmacists, nurses, or population health specialists) into the workforce, thereby, expanding access to quality care.34 Additionally, the population-based, collaborative systems of care promoted by the syndemic framework naturally align with value-based repayment models, which themselves promote health equity as a core tenant.46,47

Though such an integrative care system is daunting, it is not out of reach. The Veteran Affairs Whole Health initiative promotes a holistic approach that helps patients access medical and nonmedical interventions that can influence their health.48 Partnerships with existing community leaders and organizations are another route for capacity-building to address upstream social determinants while piloting integrative care strategies.34 This multipronged approach, though reliant on institutional support and individual advocacy, is likely to move the needle on COPD care and outcomes beyond what is achievable under our current single-disease paradigm.27

Future Directions

Syndemic theory holds the potential to bridge the social sciences and biomedical research, align policymakers and health systems to improve population health, and inform the clinical care of individual patients. However, to serve as an effective heuristic for advocacy and reform, the theory must be rigorously and empirically validated.49 Until now, evidence of a COPD-multimorbidity syndemic has been largely circumstantial. Potentially concordant evidence emerges from research designs but is nonetheless unable to affirm or falsify the underlying theoretical construct. Multiple analytic approaches have been recommended to fill this evidence gap.49,50 Examples include multilevel modeling in population-level studies, path and social network analysis to map the temporal cascade of health risks, agent-based models to investigate the impact of interventions on disease dynamics, and mixed methods to enrich statistical and mathematical models. Syndemic localization, a mixed methods approach, combines quantitative analysis to test the existence of syndemics and qualitative methods to explore how “syndemic suffering”51 manifests uniquely within different communities.49-52 Leveraging publicly available datasets on area-level rates of COPD, other chronic diseases, as well as social determinants of health, may facilitate syndemic localization within the United States.53,54 Purposeful recruitment of community members from across the urban and rural continuum as well as from geographically diverse areas enriches our understanding of the lived experience of vulnerable individuals and communities49-52 Syndemic theory relies on ethnography, a qualitative research technique that can be adapted to understand how COPD interacts uniquely with other diseases of poverty across and within different communities.34 Such narratives may reveal not only maladaptive sociocultural factors but also community sources of strength and resilience to combat the burden of poverty and disease. Instead of simply representing a new avenue for descriptive health research, a mixed methods approach like syndemic localization orients the researcher towards the community and may identify targets and collaborators for interventions.

Conclusions

We are in the midst of a nationwide reckoning on the entangled challenges of racism, structural injustice, and chronic disease. Researchers, health systems, and policymakers are mobilizing for health equity. Though much-needed and long overdue, this drive for health equity evades a central challenge of American health care: that primary and preventative population health care are deprioritized in favor of revenue-generating procedural care.55 Within the fee-for-service model, there is little incentive to be accountable for the upstream forces that perpetuate chronic disease. It is more profitable for health systems to treat a series of apparently incidental single diseases, leaving overburdened primary care providers with potentially conflicting recommendations, and the patient with growing medication lists, side effects, and disempowerment. Syndemic theory offers a meaningful alternative. Highlighting the role that unresolved social distress plays in undermining treatment success, it motivates research that gives voice to communities that disproportionately suffer from racist and discriminatory policies. Acknowledging the connections between chronic diseases, syndemic theory promotes value-based collaborative care models that integrate clinical care for the multimorbid state. And it calls on each of us, as researchers, clinicians, and leaders to advocate for policy reforms that address upstream social drivers of health inequities.

1. Fabbri LM, Celli BR, Agustí A, et al. COPD and multimorbidity: recognising and addressing a syndemic occurrence. Lancet Respir Med. 2023;11(11):1020-1034. https://doi.org/10.1016/S2213-2600(23)00261-8

2. Agustí A, Celli BR, Criner GJ, et al. Global Initiative for Chronic Obstructive Lung Disease 2023 Report: GOLD executive summary. Eur Resp J. 2023;61(4). https://doi.org/10.1183/13993003.00239-2023

3. Nici L, Mammen MJ, Charbek E, et al. Pharmacologic management of chronic obstructive pulmonary disease. An official American Thoracic Society clinical practice guideline. Am J Respir Crit Care Med. 2020;201(9):e56-e69. https://doi.org/10.1164/rccm.202003-0625ST

4. Dixon J, Mendenhall E. Syndemic thinking to address multimorbidity and its structural determinants. Nat Rev Dis Primers. 2023;9(1):23. https://doi.org/10.1038/s41572-023-00437-2

5. Link BG, Phelan J. Social conditions as fundamental causes of disease. J Health Soc Behav. 1995:80-94. https://doi.org/10.2307/2626958

6. Singer M, Bulled N, Ostrach B, Mendenhall E. Syndemics and the biosocial conception of health. Lancet. 2017;389(10072):941-950. https://doi.org/10.1016/S0140-6736(17)30003-X

7. Mendenhall E, Kohrt BA, Logie CH, Tsai AC. Syndemics and clinical science. Nat Med. 2022;28(7):1359-1362. https://doi.org/10.1038/s41591-022-01888-y

8. Tsai AC, Mendenhall E, Trostle JA, Kawachi I. Co-occurring epidemics, syndemics, and population health. Lancet. 2017;389(10072):978-982. https://doi.org/10.1016/S0140-6736(17)30403-8

9. Divo M, Celli BR. Multimorbidity in patients with chronic obstructive pulmonary disease. Clin Chest Med. 2020;41(3):405-419. https://doi.org/10.1016/j.ccm.2020.06.002

10. Sin DD, Anthonisen NR, Soriano JB, Agusti AG. Mortality in COPD: role of comorbidities. Eur Respir J. 2006;28(6):1245-1257. https://doi.org/10.1183/09031936.00133805

11. Sin DD, Wu L, Man SFP. The relationship between reduced lung function and cardiovascular mortality: a population-based study and a systematic review of the literature. Chest. 2005;127(6):1952-1959. https://doi.org/10.1378/chest.127.6.1952

12. Rabe KF, Hurst JR, Suissa S. Cardiovascular disease and COPD: dangerous liaisons? Eur Respir Rev. 2018;27(149). https://doi.org/10.1183/16000617.0057-2018

13. Sin DD, Man JP, Man SFP. The risk of osteoporosis in Caucasian men and women with obstructive airways disease. Am J Med. 2003;114(1):10-14. https://doi.org/10.1016/S0002-9343(02)01297-4

14. Vikjord SAA, Brumpton BM, Mai X-M, Bhatta L, Vanfleteren L, Langhammer A. The association of bone mineral density with mortality in a COPD cohort. The HUNT Study, Norway. COPD. 2019;16(5-6):321-329. https://doi.org/10.1080/15412555.2019.1685482

15. Looker AC. Relationship between femur neck bone mineral density and prevalent chronic obstructive pulmonary disease (COPD) or COPD mortality in older non-Hispanic white adults from NHANES III. Osteoporos Int. 2014;25(3):1043-1052. https://doi.org/10.1007/s00198-013-2601-5

16. Agustí A, Melén E, DeMeo DL, Breyer-Kohansal R, Faner R. Pathogenesis of chronic obstructive pulmonary disease: understanding the contributions of gene-environment interactions across the lifespan. Lancet Respir Med. 2022;10(5):512-524. https://doi.org/10.1016/S2213-2600(21)00555-5

17. Bush A. Impact of early life exposures on respiratory disease. Paediatr Respir Rev. 2021;40:24-32. https://doi.org/10.1016/j.prrv.2021.05.006

18. Burke H, Wilkinson TMA. Unravelling the mechanisms driving multimorbidity in COPD to develop holistic approaches to patient-centred care. Eur Respir Rev. 2021;30(160). https://doi.org/10.1183/16000617.0041-2021

19. Krieger N. Theories for social epidemiology in the 21st century: an ecosocial perspective. Int J Epidemiol. 2001;30(4):668-677. https://doi.org/10.1093/ije/30.4.668

20. Anda RF, Brown DW, Dube SR, Bremner JD, Felitti VJ, Giles WH. Adverse childhood experiences and chronic obstructive pulmonary disease in adults. Am J Prev Med. 2008;34(5):396-403. https://doi.org/10.1016/j.amepre.2008.02.002

21. Singh GK, Lin C-CC. Area Deprivation and inequalities in health and health care outcomes. Ann Intern Med. 2019;171(2):131-132. https://doi.org/10.7326/M19-1510

22. Massey DS, Denton NA. American Apartheid: Segregation and the Making of the Underclass. Harvard University Press; 1993.

23. Galiatsatos P, Kineza C, Hwang S, et al. Neighborhood characteristics and health outcomes: evaluating the association between socioeconomic status, tobacco store density and health outcomes in Baltimore City. Tob Control. 2018;27(e1):e19-e24. https://doi.org/10.1136/tobaccocontrol-2017-053945

24. Steptoe A, Feldman PJ. Neighborhood problems as sources of chronic stress: development of a measure of neighborhood problems, and associations with socioeconomic status and health. Ann Behav Med. 2001;23(3):177-185. https://doi.org/10.1207/S15324796ABM2303_5

25. Liu J, Clark LP, Bechle MJ, et al. Disparities in air pollution exposure in the United States by race/ethnicity and income, 1990-2010. Environ Health Perspect. 2021;129(12):127005. https://doi.org/10.1289/EHP8584

26. Pleasants RA, Riley IL, Mannino DM. Defining and targeting health disparities in chronic obstructive pulmonary disease. Int J Chron Obstruct Pulmon Dis. 2016;11:2475-2496. https://doi.org/10.2147/COPD.S79077

27. Galiatsatos P, Woo H, Paulin LM, et al. The association between neighborhood socioeconomic disadvantage and chronic obstructive pulmonary disease. Int J Chron Obstruct Pulmon Dis. 2020;15:981-993. https://doi.org/10.2147/COPD.S238933

28. Hayes S, Duan KI, Wai TH, et al. Association between neighborhood socioeconomic disadvantage and chronic obstructive pulmonary disease prevalence among U.S. Veterans. Ann Am Thorac Soc. 2024; 21(4): 669-672. https://doi.org/10.1513/AnnalsATS.202308-668RL

29. Ejike CO, Woo H, Galiatsatos P, et al. Contribution of individual and neighborhood factors to racial disparities in respiratory outcomes. Am J Respir Crit Care Med. 2021;203(8):987-997. https://doi.org/10.1164/rccm.202002-0253OC

30. Lin C-H, Cheng S-L, Chen C-Z, Chen C-H, Lin S-H, Wang H-C. Current progress of COPD early detection: key points and novel strategies. Int J Chron Obstruct Pulmon Dis. 2023;18:1511-1524. https://doi.org/10.2147/COPD.S413969

31. Diab N, Gershon AS, Sin DD, et al. Underdiagnosis and overdiagnosis of chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2018;198(9):1130-1139. https://doi.org/10.1164/rccm.201804-0621CI

32. Keller TL, Wright J, Donovan LM, et al. Association of patient and primary care provider factors with outpatient COPD care quality. Chronic Obstr Pulm Dis. 2022;9(1):55-67. https://doi.org/10.15326/jcopdf.2021.0232

33. Keller T, Spece LJ, Donovan LM. Association of guideline-recommended COPD inhaler regimens with mortality, respiratory exacerbations, and quality of life: a secondary analysis of the Long-Term Oxygen Treatment Trial. Chest. 2020;158(2):529-538. https://doi.org/10.1016/j.chest.2020.02.073

34. Mendenhall E, Kohrt BA, Norris SA, Ndetei D, Prabhakaran D. Non-communicable disease syndemics: poverty, depression, and diabetes among low-income populations. Lancet. 2017;389(10072):951-963. https://doi.org/10.1016/S0140-6736(17)30402-6

35. Kerr M, Tarabichi Y, Evans A, et al. Patterns of care in the management of high-risk COPD in the US (2011-2019): an observational study for the CONQUEST quality improvement program. Lancet Reg Health Am. 2023;24:100546. https://doi.org/10.1016/j.lana.2023.100546

36. Tribble SJ. Many COPD patients struggle to pay for each breath. National Public Radio website. Published June 2017. Accessed September 2024 https://www.npr.org/sections/health-shots/2017/06/02/529759280/many-copd-patients-struggle-to-pay-for-each-breath

37. Bloom CI, Douglas I, Olney J, D'Ancona G, Smeeth L, Quint JK. Cost saving of switching to equivalent inhalers and its effect on health outcomes. Thorax. 2019;74(11):1078-1086. https://doi.org/10.1136/thoraxjnl-2018-212957

38. Agarwal SD, Metzler E, Chernew M, et al. Reduced cost sharing and medication management services for COPD: a randomized clinical trial. JAMA Intern Med. 2024;e243499. https://doi.org/10.1001/jamainternmed.2024.3499

39. Illinois House passes bill making prescription inhalers more affordable [news release]. Springfield, IL; American Lung Association; May 22, 2024. Accessed September 2024. https://www.lung.org/media/press-releases/illinois-house-passes-inhaler-bill-law

40. Ruzieh M, Baugh AD, Al Jebbawi L, et al. Beta-blocker use in patients with chronic obstructive pulmonary disease: a systematic review: a systematic review of betaB in COPD. Trends Cardiovasc Med. 2023;33(1):53-61. https://doi.org/10.1016/j.tcm.2021.11.004

41. Lichtman SM, Harvey RD, Damiette Smit M-A, et al. Modernizing clinical trial eligibility criteria: recommendations of the American Society of Clinical Oncology-Friends of Cancer Research Organ Dysfunction, Prior or Concurrent Malignancy, and Comorbidities Working Group. J Clin Oncol. 2017;35(33):3753-3759. https://doi.org/10.1200/JCO.2017.74.4102

42. Bibbins-Domingo K, Helman A, eds. Improving Representation in Clinical Trials and Research: Building Research Equity for Women and Underrepresented Groups. National Academies Press; 2022. Accessed September 2024. https://nap.nationalacademies.org/catalog/26479/improving-representation-in-clinical-trials-and-research-building-research-equity

43. Putcha N, Han MK, Martinez CH, et al; the COPDGene® Investigators. Comorbidities of COPD have a major impact on clinical outcomes, particularly in African Americans. Chronic Obstr Pulm Dis. 2014;1(1):105-114. https://doi.org/10.15326/jcopdf.1.1.2014.0112

44. Au DH, Collins MP, Berger DB, et al. Health system approach to improve chronic obstructive pulmonary disease care after hospital discharge: stepped-wedge clinical trial. Am J Respir Crit Care Med. 2022;205(11):1281-1289. https://doi.org/10.1164/rccm.202107-1707OC

45. Portillo E, Lehmann M, Hagen T, et al. Evaluation of an implementation package to deliver the COPD CARE service. BMJ Open Qual. 2023;12(1):e002074. https://doi.org/10.1136/bmjoq-2022-002074

46. Centers for Medicare and Medicaid Services (CMS). Value-based care. CMS website. Accessed September 2024. https://www.cms.gov/priorities/innovation/key-concepts/value-based-care .

47. Liao JM, Lavizzo-Mourey RJ, Navathe AS. A national goal to advance health equity through value-based payment. JAMA. 2021;325(24):2439-2440. https://doi.org/10.1001/jama.2021.8562

48. U.S. Veterans Affairs (VA). Whole health-whole health basics. VA website. Updated January 16, 2024. Accessed September 2024. https://www.va.gov/WHOLEHEALTH/veteran-resources/whole-health-basics.asp

49. Mendenhall E, Newfield T, Tsai AC. Syndemic theory, methods, and data. Soc Sci Med. 2022;295:114656. https://doi.org/10.1016/j.socscimed.2021.114656

50. Mendenhall E. Syndemic Suffering: Social Distress, Depression, and Diabetes among Mexican Immigrant Women. Routledge, Taylor & Francis Group;2012.

51. Tsai AC. Syndemics: a theory in search of data or data in search of a theory? Soc Sci Med. 2018;206:117-122. https://doi.org/10.1016/j.socscimed.2018.03.040

52. Brewis A, Wutich A, Galvin M, Lachaud J. Localizing syndemics: A comparative study of hunger, stigma, suffering, and crime exposure in three Haitian communities. Soc Sci Med. 2022;295:113031. https://doi.org/10.1016/j.socscimed.2020.113031

53. Centers for Disease Control and Prevention (CDC). PLACES: local data for better health CDC website. Updated August 2024. Accessed September 2024. https://www.cdc.gov/places/index.html

54. The Public Health Alliance of Southern California. California Healthy Places Index. California Health Places website. Published 2022. Accessed September 2024. https://www.healthyplacesindex.org/ .

55. Yerramilli P, May FP, Kerry VB. Reducing health disparities requires financing people-centered primary care. JAMA Health Forum. 2021;2(2):e201573. https://doi.org/10.1001/jamahealthforum.2020.1573

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