Chronic disease risk still splits by education

A global report maps who is left behind by noncommunicable disease, not a cure for it

Income, education, gender, age, and the place where someone lives shape both exposure to disease risk and the chance of reaching care once a disease has taken hold. On 20 October 2026, the World Health Organization published a report examining how those factors divide the burden of noncommunicable disease across populations. The report is not a clinical trial or a laboratory study; it draws on national data collected over the past decade and compares groups within each country rather than testing a single intervention.

Within low- and middle-income countries, people with less schooling tend to show higher rates of hypertension and diabetes than their more educated peers. A similar pattern appears in screening: women who are poorer or less educated are less likely to receive cervical cancer screening than wealthier or more educated women. Dr. Ahmad Reza Hosseinpoor, who leads the WHO's health inequality monitoring work, described the report as the first attempt to measure these inequalities systematically on a global scale.

The report also records splits that sit beside schooling. Tobacco use remains higher among men with less education than among men with more education. In many low- and middle-income countries, rural populations have less access than urban populations to a hypertension diagnosis, to treatment, and to cervical cancer screening. Men are more likely to use tobacco and alcohol, and they are less likely to be diagnosed and treated when they have hypertension. Women are less likely to be sufficiently physically active, and obesity is more common among women, particularly in low- and middle-income countries. Younger adults with hypertension are less likely to be diagnosed and treated than older adults with the condition. Dr. Alain Labrique, director of WHO's Data, Digital Health, Analytics and AI Department, said inequality data are a tool for action.

The report does not establish that less schooling or lower income causes the differences it records; it shows who is reached and who is not, not why.