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A Depression Diagnosis at 25 Could Cost More Than a Quarter of Future Earnings
In A Nutshell
- A study of nearly five million Danish residents found depression is linked to larger, longer-lasting income losses than stroke or breast cancer.
- By the 10th year after diagnosis, men with depression earned nearly 14% less than comparable peers; women trailed by about 10%.
- Younger workers saw income losses that accelerated over time, peaking seven to 10 years after diagnosis and suggesting lasting career disruption.
- Even Denmark’s robust welfare system failed to prevent sustained income decline, pointing to potentially greater damage in countries with weaker protections.
A diagnosis of depression doesn’t just weigh on someone’s mental health. It’s tied to years of lower income, more so than a stroke, more so than breast cancer, and on a scale that’s easy to underestimate. A new study of nearly five million Danish residents found that mental illness is linked to a deeper, longer-lasting financial wound than major physical diseases, even in a country with one of the world’s most generous social safety nets.
Published in JAMA Health Forum, researchers tracked income for up to 10 years after a hospital diagnosis of depression, alcohol use disorder, stroke, or breast cancer. Notably, income losses following a mental health diagnosis were larger than those after a physical illness, and they kept growing. By year 10, men with depression were earning nearly 14% less than comparable peers who hadn’t been diagnosed. Women with depression trailed by about 10%.
Denmark’s context makes these numbers hit harder. Universal healthcare, generous sick-leave pay, and disability support are all part of the package. If any country’s safety net could cushion the financial blow of a serious diagnosis, Denmark’s would be it. Yet even there, a hospital visit for depression or alcohol use disorder put people on a lower income path that hadn’t corrected itself a full decade later, suggesting the impact could be even greater in countries with weaker protections.
Inside a Study Built From Five Million Lives
Researchers drew on Denmark’s national registry system, which links health records, tax filings, education data, and employment status for nearly every resident. From a pool of 4,925,341 non-retired adults aged 18 to 65, they identified everyone who received a first-time hospital diagnosis of one of four conditions between 2000 and 2018: depression (125,769 people), alcohol use disorder (77,206), stroke (82,151), or breast cancer (36,868).
Each diagnosed person was matched against similar individuals who hadn’t been diagnosed, paired on age, sex, marital status, education, prior income, employment status, and health history. Those characteristics were measured three years before the hospital diagnosis to avoid mixing in early effects of the illness itself. Researchers then tracked personal disposable income, meaning actual take-home pay after taxes, including wages, sick-leave compensation, and government transfers, adjusted to 2023 euros, for up to a decade.

Depression Income Losses Outpaced Every Physical Diagnosis
Across every time point examined, depression was associated with the steepest income losses. Three years after diagnosis, men with depression were earning 11.8% less than matched peers. Men with alcohol use disorder trailed by 8.3%, and stroke patients lost 3.2%. Among women at the same mark, losses were 7.3% for depression, 5.5% for alcohol use disorder, 1.2% for stroke, and just 0.7% for breast cancer.
By year 10, those gaps had widened. Men with depression had fallen 13.7% behind; those with alcohol use disorder trailed by 10.4%; stroke patients lost 4.3%. Women showed a parallel pattern: 10.2% for depression, 6.7% for alcohol use disorder, 2.4% for stroke, and 0.6% for breast cancer.
Breast cancer was the only condition where incomes eventually rebounded, with losses shrinking around year five. For every other diagnosis, losses continued through the full 10 years. Men consistently lost more than women across all four conditions. Adjusting for demographic differences between the mental and physical illness groups didn’t close that gap. It widened it.
Young Workers With Depression Face a Decade of Compounding Loss
Workers under 30 didn’t always show the largest losses at first, but their losses grew the fastest over time, peaking seven to 10 years after diagnosis. Getting diagnosed young didn’t just cause an immediate setback. For many, it appeared to permanently bend the arc of a career still in its early stages.
Some subgroups took an especially hard hit. Men aged 25 to 29 with depression lost 19.6% of what their peers earned by year five. Men with depression who were in school at the time of diagnosis lost 26.9%, more than a quarter of what comparable students without a diagnosis went on to earn. People already outside the workforce, whether unemployed, on welfare, or receiving disability, also sustained income losses for the full decade.
Income losses for depression, alcohol use disorder, and stroke began showing up in the two years before the hospital diagnosis, suggesting the financial slide may begin when symptoms first interfere with work, long before any official record is made.
Researchers declined to claim strict cause-and-effect. Depression and income loss can feed each other: financial instability can worsen mental health, and deteriorating mental health can cost someone their job or limit advancement. Still, matching people on detailed characteristics years before diagnosis and tracking them forward across multiple statistical approaches provides stronger evidence than most prior research on the subject.
Only hospital-diagnosed cases were captured here, and prior research cited in the paper found that only about one-quarter of treated depression cases in Denmark are handled at the hospital level. Milder or untreated cases weren’t included, meaning the true economic toll of mental illness is almost certainly larger than these numbers reflect.
Researchers noted in their conclusions that if losses this severe appear in Denmark, one of the wealthiest countries in the world with one of the most protective welfare systems, the damage could be far worse in places with weaker safety nets. For younger workers and those already struggling financially, current support systems aren’t preventing a diagnosis from becoming a decade-long financial sentence.
Disclaimer: This article is based on an observational study conducted in Denmark and does not establish direct cause-and-effect relationships. Findings reflect associations within a specific population and may not apply universally. Readers experiencing mental health concerns are encouraged to consult a qualified healthcare professional.
Paper Notes
Limitations
Only hospital-diagnosed cases were captured, missing the much larger share of mental illness treated in primary care or left untreated. Researchers did not track whether conditions recurred or what treatments patients received. Income losses were measured only among survivors, as people who died were removed from the data at the point of death. Researchers also declined to claim strict causality, given the entangled relationship between income and health, the possibility of reverse causation, and unmeasured variables that could influence both.
Funding and Disclosures
Funding was provided by Helsefonden, Danmarks Frie Forskningsfond, and the EU Marie Skłodowska-Curie Actions. Funders had no role in the design, conduct, data collection, analysis, interpretation, or publication decisions of the study. No conflicts of interest were reported. ChatGPT-5 (OpenAI) was used between October 2025 and January 2026 for copyediting of the manuscript, but not for data analysis or manuscript drafting.
Publication Details
Title: Lasting Income Costs of Mental and Physical Illness | Authors: Emily K. Johnson, MSc; Harsh Parikh, PhD; Catherine K. Ettman, PhD; Ge Ge, PhD; Liza Sopina, PhD; Angela Y. Chang, DSc | Affiliations: Danish Centre for Health Economics and Danish Institute for Advanced Study, University of Southern Denmark, Odense; Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland; Department of Biostatistics, Yale University School of Public Health, New Haven, Connecticut; Center for Mental Health and Addiction Policy, Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland. | Journal: JAMA Health Forum | Published: March 27, 2026 | DOI: 10.1001/jamahealthforum.2026.0196







