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30 Jun 2026

U.S. Health Records Track Rise in Gambling Disorder Diagnoses After Sports Betting Legalization

Electronic health records chart showing trends in gambling disorder diagnoses across U.S. states

Electronic health records from nearly 200 million patients form the basis of a fresh analysis that tracks changes in diagnosed gambling disorder rates between states that legalized sports betting and those that did not; the quarterly rate climbed from 3.0 per 100,000 patients in Q1 2018 to 4.8 per 100,000 in Q1 2026 inside states where sports betting became legal, which amounts to roughly a 61 percent increase, while rates in states without legalized sports betting dropped from 3.1 to 2.2 per 100,000 over the identical span.

Study Scope and Data Collection

Researchers pulled records covering a broad swath of the U.S. population and sorted them by state policy on sports betting, which allowed direct comparison of diagnosis trends before and after legalization waves that accelerated after 2018; the dataset spans multiple years and captures quarterly snapshots that highlight steady divergence once betting markets opened in certain jurisdictions.

Observers note that the analysis draws from real-world clinical encounters rather than surveys or self-reports, which gives the figures a grounded quality because each diagnosis reflects a documented medical visit; states with legal sports betting show consistent upward movement while those maintaining prohibitions display the opposite pattern.

Demographic Patterns in the Data

Young men registered the sharpest increases inside the states that authorized sports betting, a detail the study flags as noteworthy because this group often overlaps with heavy users of mobile betting apps and online platforms; parallel movements appear in areas where prediction markets gained traction, though the primary signal remains tied to state-level legalization status.

The numbers break down quarter by quarter, so anyone examining the timeline can see how the gap widens after 2018 and continues through early 2026; by Q1 2026 the contrast between the two groups of states stands out clearly in the aggregated records.

Young adults reviewing sports betting apps on mobile devices in a clinical or research context

Context Around Prediction Markets

Alongside the core sports-betting findings, the analysis points to similar upward trends that may connect to online prediction markets; these platforms operate under different rules in some states yet still allow users to place wagers on events, which creates overlapping exposure for the same demographic groups already showing elevated diagnosis rates.

Data from the nearly 200 million patient sample provides enough volume to detect these smaller parallel shifts without relying on anecdotal reports; researchers isolated the sports-betting variable while noting that prediction-market activity could contribute additional pressure in certain regions.

Timeline Through Early 2026

By June 2026 the Q1 figures had already been compiled and reviewed, giving public-health observers a clear view of how diagnosis rates evolved across eight years; the period captures both the initial wave of state legalizations and the subsequent expansion of mobile and online betting options that followed.

States that kept sports betting illegal throughout the window show a steady decline in the same metric, which underscores the directional difference captured in the records; this split appears consistently when the data are grouped by policy status rather than by region or population density alone.

Conclusion

The analysis supplies concrete quarterly rates drawn from a massive patient pool, and it isolates the variable of sports-betting legalization as the clearest dividing line between rising and falling diagnosis trends; young men surface as the subgroup with the most pronounced movement in states where betting became legal, while parallel signals tied to prediction markets receive mention as areas for further tracking. The full report presents these patterns through the same electronic health record lens, allowing continued monitoring as additional quarters of data accumulate.