Evidence map›Paper›PMID 38245576›Full record

ArticleScientific reports2024

Residential mobility restrictions and adverse mental health outcomes during the COVID-19 pandemic in the UK.

Ho Fai Chan, Zhiming Cheng, Silvia Mendolia, Alfredo R Paloyo, Massimiliano Tani, Damon Proulx, David A Savage, Benno Torgler

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Observational
  3. Observational
  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

8 authors.

Ho Fai ChanSchool of Economics and Finance, Queensland University of Technology, Brisbane, QLD, 4000, Australia. hofai.chan@qut.edu.au.
Zhiming ChengSocial Policy Research Centre, University of New South Wales, Kensington, NSW, 2052, Australia.
Silvia MendoliaDepartment of Economics, Social Studies and Applied Mathematics and Statistics, University of Turin, Turin, Italy.
Alfredo R PaloyoUniversity of Wollongong, Keiraville, NSW, 2500, Australia.
Massimiliano TaniSchool of Business, UNSW Canberra, Canberra, ACT, Australia.
Damon ProulxNewcastle Business School, University of Newcastle, Newcastle, NSW, Australia.
David A SavageNewcastle Business School, University of Newcastle, Newcastle, NSW, Australia.
Benno TorglerSchool of Economics and Finance, Queensland University of Technology, Brisbane, QLD, 4000, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the COVID-19 pandemic, several governments tried to contain the spread of SARS-CoV-2, the virus that causes COVID-19, with lockdowns that prohibited leaving one's residence unless carrying out a few essential services. We investigate the relationship between limitations to mobility and mental health in the UK during the first year and a half of the pandemic using a unique combination of high-frequency mobility data from Google and monthly longitudinal data collected through the Understanding Society survey. We find a strong and statistically robust correlation between mobility data and mental health survey data and show that increased residential stationarity is associated with the deterioration of mental wellbeing even when regional COVID-19 prevalence and lockdown stringency are controlled for. The relationship is heterogeneous, as higher levels of distress are seen in young, healthy people living alone; and in women, especially if they have young children.

Indexed as

COVID-19ChildChild, PreschoolCommunicable Disease ControlFemaleHumansOutcome Assessment, Health CarePandemicsSARS-CoV-2United Kingdom

Identifiers

PMID38245576
PMCPMC10799952

What OpenQuestion holds

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LicenceCC BY
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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.