There is a much-quoted saying, attributed to the epidemiologist Geoffrey Rose: “A large
number of people exposed to a small risk may generate many more cases than a small number
exposed to a very high risk.” This is true for many individual risk factors such as salt
intake (linked to high blood pressure and cardiovascular disease) and speeding on the
highway (linked to injuries and accidents). Does it apply to many other global health
risks? The study by Anthony Rodgers and colleagues suggests that it does.
To develop effective health policies, one must understand the existing health risks and
disease burdens. On a worldwide scale, this is a tough challenge. The Global Burden of
Disease Database, maintained by the World Health Organization (WHO), collects data from
countries around the world on risk factors such as tobacco, malnutrition, childhood abuse,
unsafe sex, childbirth, and cholesterol levels, as well as on disease burdens, for example
depression, blindness, and diarrhea. A large group of scientists from all over the world
has developed a framework to analyze these data. To compare different risks or burdens,
they calculate disability-adjusted life-years, or DALYs—the number of healthy life years
lost because of a particular disease or risk factor.
Rodgers and colleagues used data from the WHO database for 26 risk factors and from 14
epidemiological subregions of the world to calculate the proportion of
risk-factor-attributable disease burden in different population subgroups defined by age,
sex, and exposure level. For being underweight in childhood, for example—the leading risk
factor for global loss of healthy life—they found that only 35% of the disease burden
occurred in severely underweight children, the rest occurred in those only moderately
underweight. The relative risks for the moderately underweight are much lower, but the
number of children in that category is so large that the total attributable burden amounted
to almost two-thirds of the total global burden of disease for that risk factor.
The analysis confirms—and extends to a global level—previous research showing that many
major health risks are important across the range of exposure levels, not just among
individuals exposed to high levels of risk. It also points to risk factors that are
particularly prevalent among specific populations and age groups, and for which highly
targeted interventions could be effective.
Despite numerous caveats and limitations of studies like this one, such analyses are
essential aids in guiding the distribution of limited funds to lower the burden of life
years lost to premature death and disability.