The influence of COVID-19 on attention-deficit/hyperactivity disorder diagnosis and treatment rates across age, gender, and socioeconomic status: A 20-year national cohort study.

Autor: Shkalim Zemer V; Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Dan-Petach-Tikva District, Clalit Health Services, Israel. Electronic address: shine6@walla.co.il., Manor I; Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Dan-Petach-Tikva District, Clalit Health Services, Israel; Geha Mental Health Center, Petah Tikva, Israel., Weizman A; Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Dan-Petach-Tikva District, Clalit Health Services, Israel; Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel., Cohen HA; Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Pediatric Ambulatory Community Clinic, Petach Tikva, Israel., Hoshen M; Dan-Petach-Tikva District, Clalit Health Services, Israel; Bioinformatics Department, Jerusalem College of Technology, Jerusalem, Israel., Menkes Caspi N; Geha Mental Health Center, Petah Tikva, Israel., Cohen S; Geha Mental Health Center, Petah Tikva, Israel., Faraone SV; Departments of Psychiatry and Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA., Shahar N; The School of Psychological Sciences, Tel Aviv University, Tel Aviv, Israel; Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.
Jazyk: angličtina
Zdroj: Psychiatry research [Psychiatry Res] 2024 Sep; Vol. 339, pp. 116077. Date of Electronic Publication: 2024 Jul 06.
DOI: 10.1016/j.psychres.2024.116077
Abstrakt: Infection and lockdowns resulting from COVID-19 have been suggested to increase the prevalence and treatment rates of Attention Deficit/Hyperactivity Disorder (ADHD). To accurately estimate the pandemic's effects, pre-pandemic data can be used to estimate diagnosis and treatment rates during the COVID-19 years as if the COVID-19 pandemic did not occur. However, accurate predictions require a broad dataset, both in terms of the number of cases and the pre-pandemic timeframe. In the current study, we modeled monthly ADHD diagnosis and treatment rates over the 18 years preceding the COVID-19 pandemic. The dataset included ∼3 million cases for individuals aged 6 to 18 from the Clalit Health Services' electronic database. Using a trained model, we projected monthly rates for post-lockdown and post-infection periods, enabling us to estimate the expected diagnosis and treatment rates without the COVID-19 pandemic. We then compared these predictions to observed data, stratified by age groups, gender, and socioeconomic status. Our findings suggest no influence of the COVID-19 pandemic on ADHD diagnosis or treatment rates. We show that a narrower timeframe for pre-COVID-19 data points can lead to incorrect conclusions that COVID-19 affected ADHD diagnosis rates. Findings are discussed, given the assumed impact of the COVID-19 pandemic on ADHD.
Competing Interests: Declaration of competing interest The authors declare no conflicts or competing interests relevant to this article.
(Copyright © 2024. Published by Elsevier B.V.)
Databáze: MEDLINE
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