Evidence map›Paper›PMID 39508311›Full record

ArticleEpidemiology and psychiatric sciences2024

Surge in antidepressant usage among adolescents and young adults during the COVID-19 pandemic: insights from an interrupted time series analysis.

Zeno Di Valerio, Daniela Fortuna, Marco Montalti, Lucia Alberghini, Anna Caterina Leucci, Alessio Saponaro, Elisa Sangiorgi, Elena Berti, Maurizia Rolli, Dario Tedesco

Abstract read
In one paragraph

Article in Epidemiology and psychiatric sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Utilization of mental health services during the first year of the COVID-19 pandemic - a systematic review and meta-analysis.European psychiatry : the journal of the Association of European Psychiatrists · 2026
    Pooled it
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Zeno Di ValerioDepartment of Innovation in Health and Social Services, Directorate-General for Health and Welfare, Emilia-Romagna Region, Bologna, Italy.ORCID https://orcid.org/0000-0002-2422-5699
Daniela FortunaDepartment of Innovation in Health and Social Services, Directorate-General for Health and Welfare, Emilia-Romagna Region, Bologna, Italy.
Marco MontaltiDepartment of Innovation in Health and Social Services, Directorate-General for Health and Welfare, Emilia-Romagna Region, Bologna, Italy.
Lucia AlberghiniDepartment of Innovation in Health and Social Services, Directorate-General for Health and Welfare, Emilia-Romagna Region, Bologna, Italy.
Anna Caterina LeucciDepartment of Innovation in Health and Social Services, Directorate-General for Health and Welfare, Emilia-Romagna Region, Bologna, Italy.
Alessio SaponaroDepartment of Innovation in Health and Social Services, Directorate-General for Health and Welfare, Emilia-Romagna Region, Bologna, Italy.
Elisa SangiorgiDepartment of Innovation in Health and Social Services, Directorate-General for Health and Welfare, Emilia-Romagna Region, Bologna, Italy.
Elena BertiDepartment of Innovation in Health and Social Services, Directorate-General for Health and Welfare, Emilia-Romagna Region, Bologna, Italy.
Maurizia RolliDepartment of Innovation in Health and Social Services, Directorate-General for Health and Welfare, Emilia-Romagna Region, Bologna, Italy.
Dario TedescoDepartment of Innovation in Health and Social Services, Directorate-General for Health and Welfare, Emilia-Romagna Region, Bologna, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepressive disorders are a major public health issue in Western societies, particularly among adolescents, young adults and women. The COVID-19 pandemic has exacerbated mental health challenges, increasing depression and anxiety symptoms, especially in younger people. This study focuses on the hard-hit Emilia-Romagna Region (ERR) in Italy, examining changes in antidepressant (AD) drug use post-COVID-19 to understand the pandemic's effect on mental health.

methodsA population-based interrupted time series design and a segmented regression analysis was carried out on ERR pharmaceutical data (FED, direct dispensation pharmaceuticals, AFT, territorial pharmaceutical assistance) out to estimate changes in AD use during the three pandemic years (2020, 2021 and 2022) compared to 2017-2019.Analyses were stratified by age, gender, citizenship, population density of the area of residence.

resultsA notable increase in AD consumption compared to what was expected was observed among younger age groups, and especially in females. In the 12-19 age group, a gradual increase was recorded from January 2021 until it reached +48% in 2022 (+58% among women, +30% among men). An even more remarkable growth in AD usage among non-Italian residents in the same age group was recorded compared to expected. A relevant increase, although smaller, was detected among individuals in the 20-34 age group, with a peak of +9% in 2022. These differences persisted up until the end of the observation period.

conclusionsThe study suggests that the COVID-19 pandemic may have had a lasting negative impact on the mental health of younger individuals. The observed increase in AD use may foreshadow a potential long-term need for enhanced mental healthcare and services directed at this subpopulation.

Indexed as

Antidepressive AgentsCOVID-19Interrupted Time Series AnalysisSARS-CoV-2AdolescentAdultChildDepressionDepressive DisorderFemaleHumansItalyMalePandemicsYoung AdultAntidepressive AgentsantidepressantCOVID-19depressiondepressive disorderpharmacoepidemiology

Identifiers

PMID39508311
PMCPMC11561682

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.