Evidence map›Paper›PMID 40017873›Full record

ArticleBMJ public health2023

Socioeconomic inequalities in physical activity among older adults before and during the COVID-19 pandemic: evidence from the English Longitudinal Study of Ageing.

Olivia S Malkowski, Nick P Townsend, Mark J Kelson, Charlie E M Foster, Max J Western

Abstract read
In one paragraph

Article in BMJ public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 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, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Article
  4. Article
  5. 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

5 authors.

Olivia S MalkowskiDepartment for Health, Centre for Motivation and Health Behaviour Change, University of Bath, Bath, UK.ORCID 0000-0002-8395-3565
Nick P TownsendSchool for Policy Studies, Centre for Exercise, Nutrition and Health Sciences, University of Bristol, Bristol, UK.ORCID 0000-0001-9890-0901
Mark J KelsonDepartment of Mathematics, Institute of Data Science and Artificial Intelligence, University of Exeter, Exeter, UK.ORCID 0000-0001-7744-3780
Charlie E M FosterSchool for Policy Studies, Centre for Exercise, Nutrition and Health Sciences, University of Bristol, Bristol, UK.
Max J WesternDepartment for Health, Centre for Motivation and Health Behaviour Change, University of Bath, Bath, UK.ORCID 0000-0003-1107-8498

Funding

Project-001R01AG017644 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI Andrew Steptoe · 2000 to 2026
$56.2M
NIA NIH HHS R01 AG017644
6 · The paper itself

Abstract

Introduction: The influence of the COVID-19 pandemic on physical activity behaviour in older adults is of particular concern. However, little is yet known about how pre-existing socioeconomic inequalities in older adults' physical activity have been affected by the COVID-19 pandemic. The aim of this study was to explore socioeconomic disparities in physical activity levels and change over time among older adults in England, using data collected before and during the COVID-19 pandemic. Methods: This longitudinal cohort study analysed data from 3720 older adults (aged 60+ years) who participated in wave 9 (2018/2019) of the main English Longitudinal Study of Ageing (ELSA) survey and wave 2 of the ELSA COVID-19 substudy (November/December 2020). Using multilevel ordinal logistic models, we investigated associations between socioeconomic variables (education, occupational class and wealth) and physical activity, adjusting for potential confounders. We also examined interactions between socioeconomic variables and time (prepandemic vs intrapandemic) to investigate changes in the magnitude of inequalities in physical activity across the two survey periods. Results: The proportion of participants considered 'inactive' rose from 5.7% before the COVID-19 pandemic to 12.5% in November and December 2020. Higher education, occupational class and wealth were positively associated with physical activity before the lockdown. These socioeconomic disparities generally persisted during the COVID-19 pandemic. There was some evidence that differences in physical activity based on education and occupational class reduced during the COVID-19 pandemic, relative to prepandemic data. However, these associations were no longer statistically significant when the three socioeconomic variables and their interactions with time corrected for one another (p>0.05). Conclusion: Our results suggest there was no additional influence of the COVID-19 pandemic on pre-existing socioeconomic inequalities in older adults' physical activity levels.

Indexed as

Community HealthEpidemiologyPublic Health

Identifiers

PMID40017873
PMCPMC11812711

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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.