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Eleven years of data were analysed to examine whether the pandemic period coincided with changes in psychotropic medication for workers across broad occupational groupings.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Methods<\/jats:title>\n            <jats:p>Data from Northern Ireland (NI) Enhanced Prescribing Database (EPD) was linked with NI Longitudinal Study (NILS) to examine trends in anti-depressants, anxiolytics and hypnotics (2011\u20132021) among NI workers (<jats:italic>N<\/jats:italic>\u2009=\u2009200,004) across nine major occupation groups. Quarterly prescriptions were examined prior to and during pandemic restrictions (Q1-2011 to Q4-2019; and Q1-2020 to Q4-2021, respectively). Auto-regressive integrated moving average (ARIMA) models were trained to compare \u2018forecasted\u2019 and \u2018observed\u2019 rates during the pandemic period, stratified by occupational group.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>Q2-2020 coincided with lower-than-expected receipt of anxiolytics and anti-depressants for several broad occupation types. Receipt of anxiolytic prescriptions among <jats:italic>managers<\/jats:italic>,<jats:italic> directors\/senior officials<\/jats:italic> dropped below expected levels for the three quarters from Q3-2020 to Q1-2021. <jats:italic>Finally<\/jats:italic>, a notable increase in anti-depressants for a prolonged period was found among staff in caring\/leisure and related professions, as well as higher rates of hypnotics in Q2-2021.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusion<\/jats:title>\n            <jats:p>Our study provides the first longitudinal examination of variation in mental health across occupation types prior to and during the Covid-19 pandemic, using available linked administrative data. Findings suggest that occupation type was an important pandemic-related stressor and point to potential higher risk occupations that could be the focus of targeted interventions in future pandemics.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1007\/s00127-025-02909-0","type":"journal-article","created":{"date-parts":[[2025,5,21]],"date-time":"2025-05-21T11:12:15Z","timestamp":1747825935000},"page":"2311-2323","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Trends in psychotropic medication across occupation types before and during the Covid-19 pandemic: a linked administrative data study"],"prefix":"10.1007","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1875-5180","authenticated-orcid":false,"given":"Finola","family":"Ferry","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8882-0526","authenticated-orcid":false,"given":"Lisa","family":"Kent","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4787-734X","authenticated-orcid":false,"given":"Michael","family":"Rosato","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9015-3865","authenticated-orcid":false,"given":"Emma","family":"Curran","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8411-8919","authenticated-orcid":false,"given":"Gerard","family":"Leavey","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,5,21]]},"reference":[{"issue":"2","key":"2909_CR1","doi-asserted-by":"publisher","first-page":"208","DOI":"10.1177\/2043820620934249","volume":"10","author":"D Reuschke","year":"2020","unstructured":"Reuschke D, Felstead A (2020) Changing workplace geographies in the COVID-19 crisis. 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