Evidence map›Paper›PMID 36653375›Full record

ArticleTranslational psychiatry2023

Trends in incident diagnoses and drug prescriptions for anxiety and depression during the COVID-19 pandemic: an 18-month follow-up study based on the UK Biobank.

Yue Wang, Fenfen Ge, Junren Wang, Huazhen Yang, Xin Han, Zhiye Ying, Yao Hu, Yajing Sun, Yuanyuan Qu, Thor Aspelund and 5 more

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Review
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

15 authors at 4 institutions in 5 countries.

Yue WangWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Fenfen GeWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Junren WangWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Huazhen YangWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Xin HanWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID 0000-0003-2009-8503
Zhiye YingWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yao HuWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yajing SunWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yuanyuan QuWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Thor AspelundCentre of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland.ORCID 0000-0002-7998-5433
Arna HauksdóttirCentre of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland.
Helga ZoegaCentre of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland.ORCID 0000-0003-0761-9028
Fang FangInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Unnur A Valdimarsdóttir *Centre of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland.ORCID 0000-0001-5382-946X
Huan Song *West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China. songhuan@wchscu.cn.ORCID 0000-0003-3845-8079
Sichuan University · CNUniversity of Iceland · ISHarvard University · USKarolinska Institutet · SE

Funding

Medical Research Council MC_PC_17228
6 · The paper itself

Abstract

Serious concerns have been raised about the negative effects of the COVID-19 pandemic on population psychological well-being. However, limited data exist on the long-term effects of the pandemic on incident psychiatric morbidities among individuals with varying exposure to the pandemic. Leveraging prospective data from the community-based UK Biobank cohort, we included 308,400 participants free of diagnosis of anxiety or depression, as well as 213,757 participants free of anxiolytics or antidepressants prescriptions, to explore the trends in incident diagnoses and drug prescriptions for anxiety and depression from 16 March 2020 to 31 August 2021, compared to the pre-pandemic period (i.e., 1 January 2017 to 31 December 2019) and across populations with different exposure statuses (i.e., not tested for COVID-19, tested negative and tested positive). The age- and sex-standardized incidence ratios (SIRs) were calculated by month which indicated an increase in incident diagnoses of anxiety or depression among individuals who were tested for COVID-19 (tested negative: SIR 3.05 [95% confidence interval 2.88-3.22]; tested positive: 2.03 [1.76-2.34]), especially during the first six months of the pandemic (i.e., March-September 2020). Similar increases were also observed for incident prescriptions of anxiolytics or antidepressants (tested negative: 1.56 [1.47-1.67]; tested positive: 1.41 [1.22-1.62]). In contrast, individuals not tested for COVID-19 had consistently lower incidence rates of both diagnoses of anxiety or depression (0.70 [0.67-0.72]) and prescriptions of respective psychotropic medications (0.70 [0.68-0.72]) during the pandemic period. These data suggest a distinct rise in health care needs for anxiety and depression among individuals tested for COVID-19, regardless of the test result, in contrast to a reduction in health care consumption for these disorders among individuals not tested for and, presumably, not directly exposed to the disease.

Indexed as

Anti-Anxiety AgentsCOVID-19AnxietyBiological Specimen BanksDepressionDrug PrescriptionsFollow-Up StudiesHumansPandemicsProspective StudiesUnited KingdomAnti-Anxiety Agents

Identifiers

PMID36653375
PMCPMC9849101
OpenAlexW4317369981

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.