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Cited by 183Physical Activity and HealthObesity, Physical Activity, DietContext-Aware Activity Recognition Systems

Associations between multiple indicators of objectively-measured and self-reported sedentary behaviour and cardiometabolic risk in older adults

Stamatakis, Emmanuel, Davis, Mark, Stathi, Afroditi, Hamer, Mark·2012·Preventive Medicine
DOI 10.1016/j.ypmed.2011.10.009
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Abstract

Objective To examine the associations between sedentary behaviour (SB) measured objectively and by self-report and cardiometabolic risk factors.Method Cross-sectional analyses of adults ≥60 years who participated in the 2008 Health Survey for England. Main exposures were self-reported leisure-time SB consisting of TV/DVD viewing, non-TV leisure-time sitting, and accelerometry-measured SB. Outcomes included body mass index (BMI), waist circumference, cholesterol ratio (total/HDL), Hb1Ac and prevalent diabetes.Results 2765 participants (1256 men) had valid self-reported SB and outcomes/confounding variables data, of whom 649 (292 men) had accelerometer data. Total self-reported leisure-time SB showed multivariable-adjusted (including for moderate-to-vigorous physical activity) associations with BMI (beta for mean difference in BMI per 30 min/day extra SB: 0.088 kg/m(2), 95% CI 0.047 to 0.130); waist circumference (0.234, 0.129 to 0.339 cm); cholesterol ratio (0.018, 0.005 to 0.032) and diabetes (odds ratio per 30 min/day extra SB: 1.059, 1.030 to 1.089). Similar associations were observed for TV time while non-TV self-reported SB showed associations only with diabetes (1.057, 1.017 to 1.099). Accelerometry SB was associated with waist circumference only (0.633, 0.173 to 1.093).Conclusion In older adults SB is associated with cardiometabolic risk factors, but the associations are more consistent when is measured by self-report that includes TV viewing.

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Crossref · 10.1016/j.ypmed.2011.10.009

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  • The meta-prevalence of sitting was obtained for a total population of 372,550 compiled from seven surveys covering six countries (Australia, Canada, Norway, Spain, UK and USA).

    “These results were obtained for a total population of 372,550 compiled from seven surveys covering six countries (Australia, Canada, Norway, Spain, UK and USA) [3,17,18,24,25,27,33].”

    From Prevalence of Sedentary Behavior in Older Adults: A Systematic Review (2013) · cites this paper as [27]

  • The accelerometer employed measures lack of counts of activity as sedentary, rather than sitting, so some standing time could potentially be included in the sedentary data.

    “The accelerometer employed in this case measures lack of counts of activity as sedentary, rather than sitting, thus there could potentially be some standing time included in this sedentary data.”

    From Prevalence of Sedentary Behavior in Older Adults: A Systematic Review (2013) · cites this paper as [27]

  • Stamatakis et al. found that 67% of older adults spend over 8.5 h of their waking day sitting or in low energy expenditure.

    “Sixty seven percent of older adults spend over 8.5 h of their waking day sitting or in low energy expenditure.”

    From Prevalence of Sedentary Behavior in Older Adults: A Systematic Review (2013) · cites this paper as [27]

  • The accelerometry data for older adults are based on a study of 649 and a single country, so they may not be generalizable to the population.

    “The accelerometry data for older adults was based on a study of 649 and a single country, therefore perhaps not generalizable to the population.”

    From Prevalence of Sedentary Behavior in Older Adults: A Systematic Review (2013) · cites this paper as [27]

  • Stamatakis et al. reported a better association with self-report sedentary behavior and cardio-metabolic risk markers of diabetes, over objective measurement (1.074, p < 0.01, compared to 1.095, p = 0.07).

    “It is noteworthy that Stamatakis et al. [27] also reports a better association with self-report sedentary behavior and cardio-metabolic risk markers of diabetes, over objective measurement (1.074, p < 0.01, compared to 1.095, p = 0.07).”

    From Prevalence of Sedentary Behavior in Older Adults: A Systematic Review (2013) · cites this paper as [27]

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Authors
Stamatakis, E., Davis, M., Stathi, A., & Hamer, M.
Affiliations
  • University College London (GB)
  • University of Bristol (GB)
  • University of Bath (GB)
Corresponding author
Stamatakis, Emmanuel
ORCID
Venue
Preventive Medicine
Publisher
Elsevier BV
Published
2012-01
Volume
54
Issue
1
Pages
82-87
ISSN
0091-7435 (ISSN-L)
DOI
10.1016/j.ypmed.2011.10.009
OpenAlex
W1986905613
Cited by
183
References
35
Citations by year
2026: 1 · 2025: 4 · 2024: 3 · 2023: 6 · 2022: 4 · 2021: 5 · 2020: 25 · 2019: 10 · 2018: 18 · 2017: 33 · 2016: 14 · 2015: 22 · 2014: 20 · 2013: 15 · 2012: 3
FWCI
8.26
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Preventive Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • Explore Bristol Research (publishedVersion)
  • UCL Discovery (University College London) (submittedVersion)
  • University of Birmingham Research Portal (University of Birmingham) (submittedVersion)
Funders
  • National Institute for Health and Care Research (CDF-2010-03-30)
  • British Heart Foundation
Topics
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
Keywords
sedentary behavior, older adults, cardiometabolic risk, television viewing, body mass index, waist circumference, cholesterol ratio, HbA1c, diabetes mellitus, measurement agreement
MeSH terms
Aged, Aged, 80 and over, Cardiovascular Diseases, Cross-Sectional Studies, Female, United Kingdom, Humans, Male, Metabolic Diseases, Middle Aged, Risk Assessment, Sedentary Behavior, Self Report

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