Evidence map›Paper›PMID 37047846›Full record

ReviewInternational journal of environmental research and public health2023

Unintended Consequences of COVID-19 Non-Pharmaceutical Interventions (NPIs) for Population Health and Health Inequalities.

Coilín ÓhAiseadha, Gerry A Quinn, Ronan Connolly, Awwad Wilson, Michael Connolly, Willie Soon, Paul Hynds

Open access · goldAbstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
8.5field-weighted citation impact, top 2% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Reassessing Early COVID-19 Strategies in East Asia: Insights From Japan and Korea.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Changes inMicrobiology spectrum · 2025
    Article
  9. Post-Covid-19 Symptoms in Children: A Cross-Sectional Survey.Journal of paediatrics and child health · 2025
    Article
  10. WHO'Frontiers in public health · 2025
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

7 authors at 4 institutions in 3 countries.

Coilín ÓhAiseadhaDepartment of Public Health, Health Service Executive, D08 W2A8 Dublin, Ireland.ORCID 0000-0003-4243-1493
Gerry A QuinnCentre for Molecular Biosciences, Ulster University, Coleraine BT52 1SA, UK.ORCID 0000-0003-0023-2621
Ronan ConnollyIndependent Scientist, D08 Dublin, Ireland.ORCID 0000-0001-5843-3544
Awwad WilsonNational Drug Treatment Centre, Health Service Executive, D02 NY26 Dublin, Ireland.
Michael ConnollyIndependent Scientist, D08 Dublin, Ireland.
Willie SoonCenter for Environmental Research and Earth Sciences (CERES), Salem, MA 01970, USA.
Paul HyndsSpatioTemporal Environmental Epidemiology Research (STEER) Group, Environmental Sustainability & Health Institute, Technological University, D07 H6K8 Dublin, Ireland.ORCID 0000-0002-1260-2688
Health Service Executive · IEHUN-REN Institute of Earth Physics and Space Science · HUUniversity College Dublin · IEUniversity of Ulster · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the start of the COVID-19 pandemic in early 2020, governments around the world have adopted an array of measures intended to control the transmission of the SARS-CoV-2 virus, using both pharmaceutical and non-pharmaceutical interventions (NPIs). NPIs are public health interventions that do not rely on vaccines or medicines and include policies such as lockdowns, stay-at-home orders, school closures, and travel restrictions. Although the intention was to slow viral transmission, emerging research indicates that these NPIs have also had unintended consequences for other aspects of public health. Hence, we conducted a narrative review of studies investigating these unintended consequences of NPIs, with a particular emphasis on mental health and on lifestyle risk factors for non-communicable diseases (NCD): physical activity (PA), overweight and obesity, alcohol consumption, and tobacco smoking. We reviewed the scientific literature using combinations of search terms such as 'COVID-19', 'pandemic', 'lockdowns', 'mental health', 'physical activity', and 'obesity'. NPIs were found to have considerable adverse consequences for mental health, physical activity, and overweight and obesity. The impacts on alcohol and tobacco consumption varied greatly within and between studies. The variability in consequences for different groups implies increased health inequalities by age, sex/gender, socioeconomic status, pre-existing lifestyle, and place of residence. In conclusion, a proper assessment of the use of NPIs in attempts to control the spread of the pandemic should be weighed against the potential adverse impacts on other aspects of public health. Our findings should also be of relevance for future pandemic preparedness and pandemic response teams.

Indexed as

COVID-19Population HealthCommunicable Disease ControlHumansObesityOverweightPandemicsSARS-CoV-2COVID-19evidence-informed policymakinghealth inequalitiesinequitiesnon-communicable disease (NCD)non-pharmaceutical interventions (NPIs)pandemic preparednessrisk factorssocial determinants of diseaseunintended consequences

Identifiers

PMID37047846
PMCPMC10094123
OpenAlexW4360616039

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.