Modifiable Health Risks Linked to more than $730 Billion in US Health Care Costs
Published September 29, 2020
University of Washington and Vitality study found that 27% of US personal health care expenses were attributable to risk factors like obesity and smoking
CHICAGO and SEATTLE – September 30, 2020 – Modifiable health risks, such as obesity, high blood pressure, and smoking, were linked to over $730 billion in health care spending in the US in 2016, according to a study published in The Lancet Public Health. Researchers from the Institute for Health Metrics and Evaluation (IHME), an independent global health research center at the University of Washington School of Medicine, and Vitality Group, found that the costs were largely due to five risk factors: overweight and obesity, high blood pressure, high blood sugar, poor diet, and smoking. Spending associated with risk factors in 2016 constituted 27% of the $2.7 trillion spent on health care that was included in the study.
“Given that US health care expenses are almost double that of other developed nations, we set out to understand how much of these costs could be attributed to modifiable risk factors,” said Francois Millard, chief actuarial officer, Vitality and a study author. “While the relationship between lifestyle risks and medical conditions is understood, this is the first study to offer a comprehensive analysis of health spending related to these risks. This helps inform how our society is investing its resources, and why health should be at the center of all policy discussion, not just those related to sickness. We are seeing with COVID-19 that prevention is paramount to our own health and the health of our economies. It's time to apply the same urgency to these other preventable diseases.”
Prior to this study, information had not been available on the combined effects of all major risks and the association with health care spending. These new findings fill an important gap in understanding the potential impact of private and public health promotion and prevention initiatives, including programs such as Vitality.
“This study builds on previous work to understand which health conditions contribute the most to increases in health care spending in the US,” said Joseph Dieleman, PhD, senior author on the study, health economist, and associate professor at IHME. “Looking at risks allows us to better understand where these costs start, since unmanaged risk factors often lead to more serious health conditions later in life. While we can’t draw conclusions about possible reductions in spending from this research, the findings illustrate the huge costs tied to poor diets, high blood pressure, smoking, and obesity. Moving forward, it’s crucial to focus on preventing and managing these key risks before they turn into costly diseases, so that more people have the chance to live a long and healthy life.”
Additional study findings:
- Controllable and treatable risk were strongly related to costly US medical conditions – including cardiovascular disease, cancers, diabetes, and chronic respiratory diseases.
- Costs were driven largely by five modifiable risk factors – overweight and obesity (high body mass index), $238.5 billion; high blood pressure, $179.9 billion; high fasting plasma glucose, $171.9 billion; dietary risks, $143.6 billion; and tobacco smoke, $130.0 billion.
- Health care spending increases significantly with age, with the greatest proportion of risk-attributable spending associated with those aged 65 years and older (44.8%).
Building on a companion analysis by IHME of US health care spending published earlier this year in JAMA, the study extends findings from that research by estimating the proportion of spending attributable to 84 modifiable risk factors by health condition, age group, and sex. These findings have significant implications for public health care spending and private health insurance in both the US and other high-income countries. While it is not feasible to realize the full potential savings estimate from this research, significant improvements in health, reductions in medical conditions, and control of associated health care costs may be possible over time.
The research offers policymakers, actuaries, consultants, and health plan administrators data that support the need to focus public and private health programs on initiatives with the greatest potential to improve health and reduce health care costs. Favorable outcomes have been achieved, for example, through smoking cessation programs that have reduced lung cancer and its treatment costs, and weight-reduction programs that have far-reaching impact on several of the cited conditions.
Researchers extracted estimates of US personal health care spending by condition, age, and sex from IHME’s Disease Expenditure Study 2016 and merged these estimates with population attributable fraction estimates for 84 modifiable risk factors from the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 to produce estimates of spending by condition attributable to these risk factors.
About the Institute for Health Metrics and Evaluation
The Institute for Health Metrics and Evaluation (IHME) is an independent global health research organization at the University of Washington School of Medicine that provides rigorous and comparable measurement of the world’s most important health problems and evaluates the strategies used to address them. IHME is committed to transparency and makes this information widely available so that policymakers have the evidence they need to make informed decisions on allocating resources to improve population health. For more information, visit healthdata.org.
About Vitality Group
Guided by a core purpose of making people healthier, Vitality is the leader in improving health to unlock outcomes that matter. By blending industry-leading smart tech, data, incentives, and behavioral science, we inspire healthy changes in individuals and their organizations. As one of the largest wellness companies in the world, Vitality brings a dynamic and diverse perspective through its shared-value business model and successful partnerships with the most forward-thinking insurers and employers. More than 20 million people in 24 markets engage in the Vitality program. For more information, visit vitalitygroup.com or follow us on Twitter and LinkedIn.
All our datasets are housed in our data catalog, the Global Health Data Exchange (GHDx). Visit the GHDx to download data from this article.