Evidence map›Paper›PMID 31652285›Full record

ArticlePloS one2019

Do older English adults exhibit day-to-day compensation in sedentary time and in prolonged sedentary bouts? An EPIC-Norfolk cohort analysis.

Dharani Yerrakalva, Katrien Wijndaele, Samantha Hajna, Kate Westgate, Kay-Tee Khaw, Nick Wareham, Simon J Griffin, Soren Brage

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 46% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Patterns of Sedentary Behavior among Older Adults in Care Facilities: A Scoping Review.International journal of environmental research and public health · 2021
    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

8 authors at 1 institution in 1 country.

Dharani YerrakalvaDepartment of Public Health and Primary Care, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.ORCID 0000-0003-1830-5315
Katrien WijndaeleMRC Epidemiology Unit, University of Cambridge, School of Clinical Medicine, Cambridge, United Kingdom.
Samantha HajnaMRC Epidemiology Unit, University of Cambridge, School of Clinical Medicine, Cambridge, United Kingdom.
Kate WestgateMRC Epidemiology Unit, University of Cambridge, School of Clinical Medicine, Cambridge, United Kingdom.
Kay-Tee KhawDepartment of Public Health and Primary Care, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
Nick WarehamMRC Epidemiology Unit, University of Cambridge, School of Clinical Medicine, Cambridge, United Kingdom.
Simon J GriffinDepartment of Public Health and Primary Care, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
Soren BrageMRC Epidemiology Unit, University of Cambridge, School of Clinical Medicine, Cambridge, United Kingdom.
University of Cambridge · GB

Funding

Cancer Research UK 14136CIHR FRN 146766Department of Health DRF-2017-10-121Department of Health IS-BRC-1215-20014Medical Research Council G0401527Medical Research Council G1000143Medical Research Council MC_UU_12015/1Medical Research Council MC_UU_12015/3Medical Research Council MC_UU_12015/4Medical Research Council MR/N003284/1
6 · The paper itself

Abstract

introductionCompensatory behaviours may be one of the reasons for the limited success of sedentary time interventions in older adults, but this possibility remains unexplored. Activity compensation is the idea that if we change activity levels at one time we compensate for them at a later time to maintain a set point. We aimed to assess, among adults aged ≥60 years, whether sedentary time and time spent in prolonged sedentary bouts (≥30 mins) on one day were associated with sedentary time and time spent in prolonged sedentary bouts (≥30 mins) on the following day. We also sought to determine whether these associations varied by sociodemographic and comorbid factors.

methodsSedentary time was assessed for seven days using hip-worn accelerometers (ActiGraph GT1M) for 3459 adults who participated in the EPIC-Norfolk Study between 2004 and 2011. We assessed day-to-day associations in total and prolonged bouts of sedentary time using multi-level regressions. We included interaction terms to determine whether associations varied by age, sex, smoking, body mass index, social class, retirement, education and comorbid factors (stroke, diabetes, myocardial infarction and cancer).

resultsParticipants (mean age = 70.3, SD = 6.8 years) accumulated 540 sedentary mins/day (SD = 80.1). On any given day, every 60 minutes spent in sedentary time was associated with 9.9 extra sedentary minutes on the following day (95% CI 9.0, 10.2). This association was greater in non-retired compared to retired participants (non-retired 2.57 extra minutes, p = 0.024) and in current compared to former and never-smokers (5.26 extra mins for current vs former; 5.52 extra mins for current vs never, p = 0.023 and 0.017, respectively). On any given day, every 60 minutes spent in prolonged bouts was associated with 7.8 extra minutes in these bouts the following day (95% CI 7.6, 8.4). This association was greater in older individuals (0.18 extra minutes/year of age, 95% CI 0.061, 0.29), and for retired versus non-retired (retired 2.74 extra minutes, 95% CI 0.21, 5.74).

conclusionOlder adults did not display day-to-day compensation. Instead, individuals demonstrate a large stable component of day-to-day time spent sedentary and in prolonged bouts with a small but important capacity for positive variation. Therefore older adults appear to be largely habitual in their sedentary behaviour. Strategies to augment these patterns may be possible, given they may differ by age, smoking, and working status.

Indexed as

Sedentary BehaviorAccelerometryAgedAged, 80 and overAge FactorsCohort StudiesEnglandFemaleHumansMaleMiddle AgedRegression AnalysisTime Factors

Identifiers

PMID31652285
PMCPMC6814223
OpenAlexW2981895858

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.