Cited by 418Physical Activity and HealthContext-Aware Activity Recognition SystemsAging, Health, and Disability

The DOI matches its Crossref record; 40 of the 43 references it cites were found in a registry or an index; none of the 106 sources its claims cite is checked for support yet.

Prevalence of Sedentary Behavior in Older Adults: A Systematic Review

Open access
Harvey, Juliet, Chastin, Sebastien, Skelton, Dawn·2013·International Journal of Environmental Research and Public Health

Abstract

Sedentary behavior is a cluster of behaviors adopted in a sitting or lying posture where little energy is being expended. Sedentary behavior is a risk factor for health independent to inactivity. Currently, there are no published systematic reviews on the prevalence of sedentary behavior objectively measured in, or subjectively reported by, older adults. The aim of this systematic review was to collect and analyze published literature relating to reported prevalence of sedentary behavior, written in English, on human adults, where subjects aged 60 years and over were represented in the study. 23 reports covered data from 18 surveys sourced from seven countries. It was noted that sedentary behavior is defined in different ways by each survey. The majority of surveys included used self-report as a measurement of sedentary behavior. Objective measurements were also captured with the use of body worn accelerometers. Whether measurements are subjective or objective, the majority of older adults are sedentary. Almost 60% of older adult’s reported sitting for more than 4 h per day, 65% sit in front of a screen for more than 3 h daily and over 55% report watching more than 2 h of TV. However, when measured objectively in a small survey, it was found that 67% of the older population were sedentary for more than 8.5 h daily.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This systematic review synthesizes 23 reports from 18 surveys in seven countries and finds sedentary behavior highly prevalent in older adults, with about 59% reporting >4 h/day sitting and 67% objectively sedentary >8.5 h/day in one small accelerometry study. Measurement heterogeneity and self-report limitations constrain comparability across surveys.

Key findings

  • Across seven sitting surveys (N = 372,550 older adults), meta-prevalence was 58.9% sitting >4 h/day, 26.6% >6 h/day, and 5.0% >10 h/day; 78% reported >3 h/day versus 22% <3 h/day.
  • TV viewing meta-prevalence from nine surveys (N = 275,344) was 56% >2 h/day, 54.2% >3 h/day, and 15.1% >4 h/day; screen-time meta-prevalence from three studies (N = 105,424) was 52.9% >4 h/day and 93.6% >2 h/day.
  • Computer use was reported by 64.6% of UK older adults, but fewer than 10% of Canadian older adults used a computer for more than 1.6 h daily; use was higher in younger older adults and males.
  • Objective accelerometry in 649 English older adults found 67% sedentary for more than 8.5 h of the waking day, with only 33% below that threshold; gender differences were small, and sedentary time increased slightly over age 75 except for computer use.

Methods

  • Systematic review with electronic searches of AMED, CINAHL, and Medline in August 2013, plus manual journal searches, reference-list checks, and author contact; inclusion required English-language scholarly papers on human adults with participants aged 60+, prevalence of sedentary behavior as a defined outcome, >200 subjects, and at least one day of recording.
  • The search returned 2,343 papers; after duplicates, 2,078 were reviewed, with 1,864 excluded by title, 113 by abstract, and 82 by full text, leaving 19 papers; additional data and manual searching yielded 23 reports from 18 surveys in seven countries, covering over 500,000 older adults.
  • Data were converted to hours/day where needed, and prevalence data were pooled into meta-prevalence using the inverse variance method for sitting (7/9 surveys), TV viewing (9/10 surveys), and screen time (3 studies); computer use and accelerometry data were not pooled.

Limitations

  • The paper states that inverse variance meta-prevalence has limitations for very high and very low prevalence, tending to overestimate weights for such categories, and that pooled studies used different prevalence categories, so weighting may have been underestimated for some larger time categories.
  • The paper states that accelerometry data came from a single study of 649 older adults in one country and may not be generalizable; it also notes that the accelerometer measured lack of activity counts as sedentary rather than sitting, potentially including standing time.
  • The paper states that self-report measures have poor accuracy and can underestimate relationships, and the text makes evident that sedentary behavior definitions were not standardized until 2012, most surveys used self-report, and specific data on the oldest old were limited.

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Integrity signals

Registry

Crossref · 10.3390/ijerph10126645

Cites

40 of 40 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Figures

Figure 1 Prisma diagram of the systematic process of identification of relevant literature.
Figure 1 Prisma diagram of the systematic process of identification of relevant literature.CC BY · PubMed Central
Figure 2 Range of sedentary behavior measurements employed when reporting prevalence of sedentary behavior in older adults, along with generation of results. Note that some surveys report more than one domain of sedentary behavior.
Figure 2 Range of sedentary behavior measurements employed when reporting prevalence of sedentary behavior in older adults, along with generation of results. Note that some surveys report more than one domain of sedentary behavior.CC BY · PubMed Central
Figure 3 Meta-Prevalence of sitting, N = 372,550 older adults, n = 7 from six countries, note time categories of <3 h (22%) and >3 h (78%) is equal to 100%.
Figure 3 Meta-Prevalence of sitting, N = 372,550 older adults, n = 7 from six countries, note time categories of <3 h (22%) and >3 h (78%) is equal to 100%.CC BY · PubMed Central
Figure 4 Prevalence of sitting watching TV, N = 275,344 older adults, n = 9, note the sum of <2 h (44%) and >2 h (56%) is equal to l00%.
Figure 4 Prevalence of sitting watching TV, N = 275,344 older adults, n = 9, note the sum of <2 h (44%) and >2 h (56%) is equal to l00%.CC BY · PubMed Central
Figure 5 Prevalence of computer use over 1.6 h daily reported by 6,742 older adults.
Figure 5 Prevalence of computer use over 1.6 h daily reported by 6,742 older adults.CC BY · PubMed Central
Figure 6 Meta-prevalence of screen time older adults, N = 105,424, n = 3, note <2 (6%) and >2 (94%) = 100%.
Figure 6 Meta-prevalence of screen time older adults, N = 105,424, n = 3, note <2 (6%) and >2 (94%) = 100%.CC BY · PubMed Central
Figure 7 Prevalence of sedentary behavior by accelerometry in 649 older adults.
Figure 7 Prevalence of sedentary behavior by accelerometry in 649 older adults.CC BY · PubMed Central

Verification

Claims the paper makes

47 Not checked yet · 26 Own result · 7 Own interpretation · 4 No basis given · 3 Own method

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Show all 55 claims

  • It may state two separate claims as one. 20
  • Probably not a substantial claim. 17
32 of 32
  • The paper relies on this without support.

    There are no published systematic reviews on the prevalence of sedentary behavior objectively measured in, or subjectively reported by, older adults.

    “Currently, there are no published systematic reviews on the prevalence of sedentary behavior objectively measured in, or subjectively reported by, older adults.”
  • The paper relies on this without support.

    TV viewing serves as a proxy for sedentary behavior.

    “TV viewing serves as a proxy for sedentary behavior, Figure 4 shows the meta-prevalence of TV viewing reported by older adults.”
2 of 2

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Citations

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Metadata

Authors
Harvey, J., Chastin, S., & Skelton, D.
Affiliations
Glasgow Caledonian University (GB)
Corresponding author
Harvey, Juliet
Venue
International Journal of Environmental Research and Public Health
Publisher
MDPI AG
Published
2013-12-02
Volume
10
Issue
12
Pages
6645-6661
ISSN
1660-4601 (ISSN-L)
OpenAlex
W2006256354
Cited by
418
References
43
Citations by year
2026: 15 · 2025: 35 · 2024: 44 · 2023: 40 · 2022: 42 · 2021: 54 · 2020: 40 · 2019: 41 · 2018: 31 · 2017: 29 · 2016: 24 · 2015: 15 · 2014: 8
FWCI
1.72
Type
journal article
Language
en
Open access
Locations
  • International Journal of Environmental Research and Public Health (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • ResearchOnline (Glasgow Caledonian University) (submittedVersion, cc-by-nc-sa)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Aging, Health, and Disability
Keywords
sedentary behavior, older adults, prevalence, sitting time, screen time, television viewing, accelerometry, self-report, physical inactivity, health risk factors
MeSH terms
Aged, Humans, Middle Aged, Risk Factors, Prevalence, Sedentary Behavior, Self Report

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