Evidence map›Paper›PMID 36467547›Full record

ArticleEuropean journal of ageing2022

Healthcare utilisation, physical activity and mental health during COVID-19 lockdown: an interrupted time-series analysis of older adults in England.

Jiunn Wang, Anne Spencer, Claire Hulme, Anne Corbett, Zunera Khan, Miguel Vasconcelos Da Silva, Siobhan O'Dwyer, Natalie Wright, Ingelin Testad, Clive Ballard and 2 more

Abstract read
In one paragraph

Article in European journal of ageing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. 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

12 authors.

Jiunn WangDepartment of Health and Community Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.ORCID 0000-0002-2148-0395
Anne SpencerDepartment of Health and Community Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Claire HulmeDepartment of Health and Community Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Anne CorbettDepartment of Health and Community Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Zunera KhanDepartment of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Miguel Vasconcelos Da SilvaDepartment of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Siobhan O'DwyerDepartment of Health and Community Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Natalie WrightGlobal Operations, UK Health Security Agency (UKHSA), London, UK.
Ingelin TestadDepartment of Health and Community Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Clive BallardDepartment of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Byron CreeseDepartment of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Richard SmithDepartment of Public Health and Sport Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 measures which reduce interpersonal contact may be effective in containing the transmission, but their impacts on peoples' well-being and daily lives overtime remain unclear. Older adults are more vulnerable to both the virus and social isolation. It is therefore imperative to understand how they were affected during this period. Major concerns arising from the pandemic cover the aspects of mental health, healthcare utilisation and individual behavioural changes. Complementing the existing before-and-after analyses, we explore the impacts of easing and re-introducing COVID-19 measures by using a time-series data in England. The data was collected between May and November 2020 from the monthly surveys of the Platform for Research Online to Investigate Genetics and Cognition in Aging (PROTECT). Chi-squared analysis and interrupted time-series analysis were conducted to examine impacts of easing and re-introducing COVID-19 measures. Overall, mental health improves overtime but at a decreasing rate. The use of telephone/video consultations with a doctor or health professional presented a decreasing trend during the pandemic, whilst that of in-person consultation was increasing overtime. We observed significant variations in the time trends of mental health measures, healthcare utilisation and physical activity following the ease but not the re-introduction of COVID-19 measures. Future research is required to understand if these asymmetric impacts were driven by adaption of the people or stringency of the measures. Supplementary Information: The online version contains supplementary material available at 10.1007/s10433-022-00741-y.

Indexed as

COVID-19 measuresHealthcare utilisationInterrupted time-series analysisMental healthPhysical activitySocial media

Identifiers

PMID36467547
PMCPMC9702630

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.