Social epidemiology

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While epidemiology is "the study of the distribution and determinants of states of health in populations", social epidemiology is "that branch of epidemiology concerned with the way that social structures, institutions, and relationships influence health." [1] This research includes "both specific features of, and pathways by which, societal conditions affect health". [2] [3]

Although health research is often organized by disease categories or organ systems, theoretical development in social epidemiology is typically organized around factors that influence health (i.e., health determinants rather than health outcomes). Many social factors are thought to be relevant for a wide range of health domains. Social epidemiology can therefore address any health outcome, including chronic disease, infectious disease, mental health, and clinical outcomes or disease prognosis. Exposures of interest to social epidemiologists include individual-level measures (e.g., poverty, education, social isolation), contextual factors (e.g., residential segregation or income inequality), and social policies (e.g., policies creating income security or promoting educational access). Analyses that address the independent or synergistic effects of individual or contextual risk factors are often of interest. [4] Understanding the origins of health disparities and identifying strategies to eliminate health disparities is a major focus of social epidemiology.[ citation needed ]

Major research challenges in social epidemiology include tools to strengthen causal inference, [5] [6] methods to test theoretical frameworks such as Fundamental Cause Theory, [7] translation of evidence to systems and policy changes that will improve population health, [8] and mostly obscure causal mechanisms between exposures and outcomes. [9] To address obscurity of causal mechanisms in social epidemiology, it has been proposed to integrate molecular pathological epidemiology into social epidemiology. [9]

For example, questions of interest to epidemiologists include:[ citation needed ]

Social epidemiology draws on methodologies and theoretical frameworks from many disciplines, and research overlaps with several social science fields, most notably economics, medical anthropology, medical sociology, health psychology and medical geography, as well as many domains of epidemiology. However, intersecting social science fields often use health and disease in order to explain specifically social phenomenon (such as the growth of lay health advocacy movements), [10] while social epidemiologists generally use social concepts in order to explain patterns of health in the population.[ citation needed ]

More recently, the discipline is moving from identifying health inequalities along the social gradient to identifying the policies, programmes and interventions that effectively tackle the observed socioeconomic inequalities in health. Researchers Frank Pega and Ichiro Kawachi from Harvard University have suggested that this may lead to the new discipline of Political Epidemiology, which is more policy-applied in that it identifies effective and cost-effective social interventions for government action to improve health equity. [11]

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Health equity arises from access to the social determinants of health, specifically from wealth, power and prestige. Individuals who have consistently been deprived of these three determinants are significantly disadvantaged from health inequities, and face worse health outcomes than those who are able to access certain resources. It is not equity to simply provide every individual with the same resources; that would be equality. In order to achieve health equity, resources must be allocated based on an individual need-based principle.

The social determinants of health are the economic and social conditions that influence individual and group differences in health status. They are the health promoting factors found in one's living and working conditions, rather than individual risk factors that influence the risk for a disease, or vulnerability to disease or injury. The distribution of social determinants is often shaped by public policies that reflect prevailing political ideologies of the area.

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<span class="mw-page-title-main">Social medicine</span> Understanding how culture and larger groups of people shape health procedures

Social medicine is an interdisciplinary field that focuses on the profound interplay between socio-economic factors and individual health outcomes. Rooted in the challenges of the Industrial Revolution, it seeks to:

  1. Understand how specific social, economic, and environmental conditions directly impact health, disease, and the delivery of medical care.
  2. Promote conditions and interventions that address these determinants, aiming for a healthier and more equitable society.
<span class="mw-page-title-main">Environmental social science</span>

Environmental social science is the broad, transdisciplinary study of interrelations between humans and the natural environment. Environmental social scientists work within and between the fields of anthropology, communication studies, economics, geography, history, political science, psychology, and sociology; and also in the interdisciplinary fields of environmental studies, human ecology and political ecology, social epidemiology, among others.

The Bradford Hill criteria, otherwise known as Hill's criteria for causation, are a group of nine principles that can be useful in establishing epidemiologic evidence of a causal relationship between a presumed cause and an observed effect and have been widely used in public health research. They were established in 1965 by the English epidemiologist Sir Austin Bradford Hill.

<span class="mw-page-title-main">Kate Pickett</span> British epidemiologist

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<span class="mw-page-title-main">Tyler VanderWeele</span>

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<span class="mw-page-title-main">Health politics</span> Interdisciplinary study and analysis of health politics

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Medellena Maria Lee Glymour is an American epidemiologist. Her primary research interests focus on "how social factors experienced across the lifecourse, such as educational attainment and work environment, influence cognitive function, memory loss, stroke and other health outcomes in old age."

White Americans, as the largest racial group in the United States, have historically had better health outcomes than other oppressed racial groups in America. However, in recent years, the scholarly discourse has switched from recognition of the immense positive health outcomes of white Americans towards understanding the growing persistence of negative outcomes unique to this racial group. Scholars have discussed the effects of racial prejudice and its negative effect on health outcomes to not only those being oppressed but also those being given privileges. In addition to the effects of living in a racialized society, white Americans have the highest rate of suicide and lifetime psychiatric disorders of any other ethnicity or racial category. In conjunction with these psychiatric issues, the population presents higher rates of alcohol usage alongside lower levels of psychological flourishing. Given this information, the health status of white Americans has gained increasing importance due to the differences in health outcomes between white Americans and white people from other parts of the world.

References

  1. Berkman, Lisa F.; Kawachi, Ichiro (2014). "A Historical Framework for Social Epidemiology: Social Determinants of Population Health". In Berkman, Lisa F.; Kawachi, Ichirō; Glymour, M. Maria (eds.). Social Epidemiology. Oxford University Press. pp. 1–16. ISBN   978-0-19-537790-3.
  2. Krieger, N (2001). "A glossary for social epidemiology". Journal of Epidemiology & Community Health. 55 (10): 693–700. doi:10.1136/jech.55.10.693. JSTOR   25569537. PMC   1731785 . PMID   11553651.
  3. Braveman, Paula; Gottlieb, Laura (2014). "The Social Determinants of Health: It's Time to Consider the Causes of the Causes". Public Health Reports. 129 (Suppl 2): 19–31. doi:10.1177/00333549141291S206. JSTOR   23646782. PMC   3863696 . PMID   24385661.
  4. Diez-Roux, A. V (1998). "Bringing context back into epidemiology: Variables and fallacies in multilevel analysis" (PDF). American Journal of Public Health. 88 (2): 216–22. doi:10.2105/ajph.88.2.216. PMC   1508189 . PMID   9491010.
  5. Glymour, M. Maria; Rudolph, Kara E (2016). "Causal inference challenges in social epidemiology: Bias, specificity, and imagination". Social Science & Medicine. 166: 258–265. doi:10.1016/j.socscimed.2016.07.045. PMID   27575286.
  6. Oakes, J.Michael (2004). "The (mis)estimation of neighborhood effects: Causal inference for a practicable social epidemiology". Social Science & Medicine. 58 (10): 1929–52. doi:10.1016/j.socscimed.2003.08.004. PMID   15020009.
  7. Phelan, Jo C; Link, Bruce G; Tehranifar, Parisa (2010). "Social Conditions as Fundamental Causes of Health Inequalities: Theory, Evidence, and Policy Implications". Journal of Health and Social Behavior. 51: S28–40. doi: 10.1177/0022146510383498 . PMID   20943581.
  8. Avendano, Mauricio; Kawachi, Ichiro (2014). "Why Do Americans Have Shorter Life Expectancy and Worse Health Than Do People in Other High-Income Countries?". Annual Review of Public Health. 35: 307–25. doi: 10.1146/annurev-publhealth-032013-182411 . PMC   4112220 . PMID   24422560.
  9. 1 2 Nishi, A; Milner, DA Jr; Giovannucci, EL; Nishihara, R; Tan, AS; Kawachi, I; Ogino, S (2016). "Integration of molecular pathology, epidemiology and social science for global precision medicine". Expert Rev Mol Diagn. 16 (1): 11–23. doi:10.1586/14737159.2016.1115346. PMC   4713314 . PMID   26636627.
  10. Brown, P (1995). "Naming and framing: The social construction of diagnosis and illness". Journal of Health and Social Behavior. Spec No: 34–52. doi:10.2307/2626956. JSTOR   2626956. PMID   7560848.
  11. Pega, Frank; Kawachi, Ichiro; Rasanathan, Kumanan; Lundberg, Olle (2013). "Politics, policies and population health: a commentary on Mackenbach, Hu and Looman (2013)". Social Science & Medicine. 93: 176–9. doi:10.1016/j.socscimed.2013.06.007. PMID   23850006.