Evidence map›Paper›PMID 33431710›Full record

ArticleAging2021

Correlates of change in accelerometer-assessed total sedentary time and prolonged sedentary bouts among older English adults: results from five-year follow-up in the EPIC-Norfolk cohort.

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

Open access · greenAbstract read
In one paragraph

Article in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 43% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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 2 institutions in 1 country.

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

Funding

Cancer Research UK 14136Cancer Research UK C864/A14136Department of Health DRF-2017-10-121Medical Research Council G0401527Medical Research Council G1000143Medical Research Council MC_UU_00006/1Medical Research Council MC_UU_00006/4Medical Research Council MC_UU_00006/6Medical Research Council MC-UU_12015/1Medical Research Council MC_UU_12015/1Medical Research Council MC_UU_12015/3Medical Research Council MC_UU_12015/4Medical Research Council MR/K025147/1Medical Research Council MR/N003284/1
6 · The paper itself

Abstract

backgroundDevelopment of effective strategies to reduce sedentary time among older adults necessitates understanding of its determinants but longitudinal studies of this utilising objective measures are scarce.

methodsAmong 1536 older adults (≥60 years) in the EPIC-Norfolk study, sedentary time was assessed for seven days at two time-points using accelerometers. We assessed associations of change in total and prolonged bouts of sedentary time (≥ 30 minutes) with change in demographic and behavioural factors using multi-level regression.

resultsOver follow-up (5.3±1.9 years), greater increases in total sedentary time were associated with older age, being male, higher rate of increase in BMI, lower rate of increase in gardening (0.5 min/day/yr greater sedentary time per hour/week/yr less gardening, 95% CI 0.1, 1.0), a lower rate of increase in walking (0.2 min/day/yr greater sedentary time per hour/week/yr less walking, 95% CI 0.1, 0.3) and a higher rate of increase in television viewing. Correlates of change in prolonged sedentary bouts were similar.

conclusionIndividuals in specific sub-groups (older, male, higher BMI) and who differentially participate in certain behaviours (less gardening, less walking and more television viewing) but not others increase their sedentary time at a higher rate than others; utilising this information could inform successful intervention content and targeting.

Indexed as

ExerciseSedentary BehaviorAccelerometryAgedAged, 80 and overCohort StudiesEnglandFemaleFollow-Up StudiesHumansLongitudinal StudiesMaleMiddle AgedRisk Factorsboutscorrelatesepidemiologyolder adultssedentary

Identifiers

PMID33431710
PMCPMC7835006
OpenAlexW3119263080

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.