Electronic Health Records Analysis Links Sports Betting Legalization to Shifts in Gambling Disorder Diagnoses

Researchers examined electronic health records covering more than 197 million U.S. adults and documented a rise exceeding 60 percent in gambling disorder diagnoses within states that had legalized sports betting, while those same diagnoses dropped 29 percent in states that kept betting illegal, and the contrast emerged clearly when comparing the two groups of jurisdictions side by side. The study, reported through industry channels in late June 2026, positioned the numbers as direct evidence connecting expanded access plus advertising volume to measurable changes in problem-gambling indicators.

Scope and Timing of the Data Review

Data collection spanned multiple years that bracketed the wave of state-level legalization decisions, allowing observers to track diagnosis rates before and after regulatory shifts took effect, and the resulting dataset offered enough scale to separate trends by state policy status without relying on smaller or self-reported samples. Analysts noted that absolute diagnosis counts stayed low even after the increases, yet the directional split between legalized and non-legalized states remained consistent across the full record set.

Key Numerical Findings

Overall gambling disorder diagnoses climbed more than 60 percent in states where sports betting became legal, whereas the same metric fell 29 percent elsewhere, and these opposing movements produced a clear divergence once the figures were aggregated. In legalized states the rate reached 4.8 diagnoses per 100,000 adults, compared with 2.2 per 100,000 in states that maintained prohibitions, which meant the gap widened steadily as legalization spread. The research team presented the numbers in aggregate form, emphasizing that the patterns aligned with the timing of new betting markets and the accompanying advertising campaigns that followed legalization.

Age-Specific Patterns Within the Records

The steepest movement appeared among adults aged 18 to 29, where diagnosis rates doubled in legalized states while remaining comparatively flat in states without legalization, and this age band accounted for a disproportionate share of the overall increase. Observers tracking the data pointed out that younger adults showed the largest relative change even though baseline rates for the entire population stayed modest, which highlighted a concentrated shift rather than a broad population-wide surge. The same records indicated that older age groups experienced smaller percentage movements, keeping the focus on the 18-29 cohort as the primary driver of the observed difference between policy environments.

Connection to Expanded Access and Advertising

Industry reporting framed the findings as evidence that greater availability of legal sports betting, paired with increased advertising exposure, corresponded to higher diagnosis rates in affected states, and the contrast with non-legalized states reinforced that interpretation. The analysis did not isolate individual causal factors beyond policy status, yet the timing of legalization waves and the subsequent marketing activity aligned with the periods when diagnosis counts rose most noticeably. Researchers presented the state-by-state comparison as the central metric, allowing readers to see how policy environments diverged without requiring additional assumptions about advertising volume or market maturity.

Context Within Broader Health-Record Trends

The electronic health record sample drew from a wide geographic distribution that captured both early and late adopters of sports betting legalization, and the resulting picture showed stable or declining diagnosis rates outside legalized jurisdictions even as those rates moved upward where betting markets opened. Because the dataset exceeded 197 million adults, small fluctuations in any single state carried limited weight in the aggregate, which lent stability to the overall comparison between the two policy groups. The study authors noted that absolute rates remained low across both categories, underscoring that the observed changes represented shifts in already uncommon diagnoses rather than a transformation of population-level prevalence.

Reporting and Industry Response

Trade publication coverage in June 2026 highlighted the divergence as a signal worth monitoring, and the same reporting directed attention to the age-specific doubling among 18-29-year-olds as a focal point for future observation. The presentation stayed anchored in the raw diagnosis counts and rates, avoiding claims beyond the measured differences between legalized and non-legalized states. Subsequent references to the analysis have continued to cite the same core statistics when discussing how regulatory choices may influence health-record indicators over time.

Conclusion

The electronic health record analysis supplies a large-scale comparison that shows gambling disorder diagnoses rising more than 60 percent in states with legalized sports betting while falling 29 percent in states without such legalization, with the most pronounced movement occurring among 18-29-year-olds whose rates doubled in the legalized group. Absolute rates stayed low at 4.8 per 100,000 versus 2.2 per 100,000, and the patterns tracked alongside the expansion of legal markets and advertising. The findings continue to serve as a reference point for discussions that link policy decisions to observable shifts in diagnosis data.