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Self-Reported ADHD Diagnosis Status Among Working-Age Adults in the United States: Evidence From the 2023 National
Andrew S London1, Shannon M Monnat1, Iliya Gutin1
1Syracuse University, NY, USA.
Objective:
To estimate the percentage of U.S. working-age (18- to 64-year-old) adults in 2023 who self-reported ever being diagnosed with ADHD by a health care professional.
Method:
We analyze data from the 2023 National Wellbeing Survey (N = 7,053) to estimate self-reported lifetime ADHD diagnosis status among working-age adults, overall and by sex, age, race/ethnicity, nativity, education, and rural-urban residence.
Results:
Among U.S. working-age adults in 2023, we estimate that 13.9% (95% confidence interval [13.0%, 15.0%]) self-reported ever being diagnosed with ADHD by a health care professional. We find statistically significant variation by each of the demographic variables analyzed, with higher rates among working-age adults who are female, younger, non-Hispanic White, U.S.-born, less well-educated, and residing in metro areas with 250,000 to 1 million people (relative to those living in metro areas with 1+ million population).
Conclusion:
The percentage of U.S. working-age adults who self-report in 2023 that they have ever been diagnosed with ADHD by a health care professional (13.9%) is substantially higher than estimates from 2012 (4.25%) and a 2023 estimate of 7.8% among adults of all ages (18+ years). The increase over time may reflect changes in diagnostic criteria for children and adults, greater acceptance of adult diagnosis, over- and mis-diagnosis, and methodological issues. The difference between the 2023 estimates likely reflects study-specific differences in the constructs measured, the age range of the samples, and methodological differences in the online panels used for sampling, in quality control approaches, and in post-survey weight construction. Additional data collection and empirical research is needed to validate or refine provisional estimates based on samples drawn from online panels, and to determine explanations for the observed increase over time.
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