We developed our framework by reviewing research on factors that influence health and surveying similar projects and tools from prominent organizations . It is not meant to be complete, but a starting point that allows us to think about what drives health and how.
Indirect vs. Direct Factors
Many things affect health, some directly and others indirectly. Government/policy, income/wealth, education, and racial identity don’t necessarily affect health in an immediate way. They are indirect factors that tend to affect health through complex pathways. Those pathways usually involve other factors that more immediately affect health. These are the direct factors such as occupation, health care access, and health behaviors.
Why these Outcomes?
There are many possible health outcomes. The framework includes four examples—age-adjusted mortality, life expectancy, quality of life/well-being, and functional status. These outcomes are commonly studied, prevalent in the literature, and reflect the kinds of things people care most about.
The following graphic is interactive. Select any green or teal section of the framework to learn more about that driver of health.
A wide range of government policies can affect health. For example, in 2007, Australia became the first country to introduce a government-funded human papillomavirus (HPV) vaccination program. For years later, significantly lower levels of HPV were present in the population. As another example, studies show that Medicaid expansion in the US facilitates access to care and improves self-reported health outcomes. Policies outside the health system can affect health too. Those pertaining to deportation of undocumented immigrants and same-sex marriage have been linked to health outcomes, for example.
Income and wealth are associated with health, but through complex pathways. While income and wealth facilitate access to health care, food, and housing, it’s also true that good health facilitates labor force participation, potentially leading to higher income. Several studies suggest that income and resources have profound effects in early life and development, but a much smaller effect on adults.
Racial Identity is closely associated with health outcomes in the US. For example, African-American adults experience much higher levels of mortality than white adults, from all causes. Racial Identity also plays a role in the accumulated stress from discrimination and in the quality of health care received.
Evidence suggests that gender identity plays a role in health and health care. For example, one study found that women with angina pectoris and low socioeconomic status were referred to cardiologists less frequently than men.
Genetics play a role in the development of certain disease. For example, while cancer is not caused by genetics, most cancers have some genetic determinants. The BRCA1 and BRCA2 genes play a role in tumor suppression, and, when mutated, increase the risk of female breast, ovarian, and other cancers.
Environmental factors — natural and built — have profound effects on our health. Of course, factors like air quality affect our health, evidenced by a study that demonstrated an association between higher levels of air pollutants O3 and PM2.5 and pediatric pneumonia. Environmental conditions even before birth (present during fetal development) can affect health and well-being into adulthood.
Medical care is designed to facilitate good health, so both the quality of medical care and access to it influence our health outcomes. One study found that the medically uninsured receive 20% less care after auto accidents and have significantly higher mortality rates than people who are insured.
Health behaviors encompass a wide range of human behaviors that affect health including: physical activity; diet; sleep; and tobacco, alcohol, and other substance use. Just as one example, reducing exposure to tobacco has been identified as the single biggest way to prevent morbidity, disability, and early death.
Social relationships can affect mental and physical health as well as behaviors and mortality risk. The people we are surrounded by (at an early age, parents, and later in life, peers and romantic partners) strongly influence health through mechanisms of stress, social support, and pressure to engage in or avoid risky behaviors.
Occupation is linked to health outcomes, and may both cause health due to the conditions of the job, and be caused by health due to the limitations particular to certain conditions.
Let's Dig Deeper
Historical vs. Current, Marginal Effects
When attempting to quantify the impact of direct health-related factors, it is important to make a distinction between how much of our current health is related to these factors versus how much of our current health can be improved by interventions that target particular factors. Grasping this distinction is critical so that we know where our dollars are best spent to maximize health improvement. In other words, how much have each of these factors affected our health in the past through today versus how much could they affect health in the future if policy was immediately changed? For example, a disease like smallpox has a huge direct effect on health outcomes, but it has essentially been eradicated, so an additional investment in eradicating smallpox has virtually no marginal gains, even though the disease is closely linked to health.
It is also relevant to consider the timespan on which we see certain effects taking place, especially when considering policy intervention. For example, with an environmental change such as improving the air quality, it would take a significant amount of time for all measurable changes in health outcomes to manifest; other interventions, such as dramatically increasing flu vaccination rates, could have significant health outcomes that would be observable on a much shorter timescale.
Correlations vs. Causation
Considering the available literature on social determinants of health and the links between these factors and measurable health outcomes, it is critical to clarify whether what we are observing or seeking is a correlation or causation. Correlations can guide hypothesis generation, but only causation is actionable in terms of policy.
Finally, it is worth considering how a framework like this relates to policy intervention. The specific interventions that might be effective within a category (e.g., health behaviors) could change over time. For example, promotion of wearing motor vehicle seat belts was an important area for policy interventions in the 1970s and 1980s, but is less so now because doing so has become commonplace. Though health behaviors remain relevant to health today, the class of interventions that would have the largest impact are different.