The DOI matches its Crossref record; 34 of the 35 references it cites were found in a registry or an index.
Associations between multiple indicators of objectively-measured and self-reported sedentary behaviour and cardiometabolic risk in older adults
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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“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]
In the citing paper
“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]
In the citing paper
“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]
In the citing paper
“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]
In the citing paper
“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]
In the citing paper
“There has been shown to be an association between sitting time and negative health outcomes, such as increased risk of cardiovascular disease and all causes of mortality [14,24,27,33].”
From Prevalence of Sedentary Behavior in Older Adults: A Systematic Review (2013) · cites this paper as [27]
Citations
Cites
Multiple regression: testing and interpreting interactions
(1992) · Choice Reviews Online · doi:10.5860/choice.29-3352 · Cited by 36,647
Physical Activity in the United States Measured by Accelerometer
TROIANO, R. P., BERRIGAN, D., DODD, K. W., MÂSSE, L. C., TILERT, T., & MCDOWELL, M. (2008) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31815a51b3 · Cited by 7,638
The Validity of Two Versions of the GHQ in the WHO Study of Mental Illness in General Health Care
GOLDBERG, D. P., GATER, R., SARTORIUS, N., USTUN, T. B., PICCINELLI, M., GUREJE, O., & RUTTER, C. (1997) · Psychological Medicine · doi:10.1017/s0033291796004242 · Cited by 3,657
International Expert Committee report on the role of the A1c assay in the diagnosis of diabetes
The International Expert Committee (2009) · Diabetes Care · doi:10.2337/dc09-9033 · Cited by 3,185
Amount of Time Spent in Sedentary Behaviors in the United States, 2003-2004
Matthews, C. E., Chen, K. Y., Freedson, P. S., Buchowski, M. S., Beech, B. M., Pate, R. R., & Troiano, R. P. (2008) · American Journal of Epidemiology · doi:10.1093/aje/kwm390 · Cited by 2,631
(1958) · Journal of the American Pharmaceutical Association (Scientific ed ) · doi:10.1002/jps.3030470133 · Cited by 2,491
Logistic Regression Using the SAS System : Theory and Application
Allison, P. D. (1999) · Cited by 2,087
Hu, F. B., Li, T. Y., Colditz, G. A., Willett, W. C., & Manson, J. E. (2003) · JAMA · doi:10.1001/jama.289.14.1785 · Cited by 1,892
Healy, G. N., Dunstan, D. W., Salmon, J., Cerin, E., Shaw, J. E., Zimmet, P. Z., & Owen, N. (2008) · Diabetes Care · doi:10.2337/dc07-2046 · Cited by 1,465
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Chastin, S. F. M., Palarea-Albaladejo, J., Dontje, M. L., & Skelton, D. A. (2015) · PLOS ONE · doi:10.1371/journal.pone.0139984 · Cited by 1,034
Sedentary behavior and health outcomes among older adults: a systematic review
Rezende, L. F. M. D., Rey-López, J. P., Matsudo, V. K. R., & Luiz, O. D. C. (2014) · BMC Public Health · doi:10.1186/1471-2458-14-333 · Cited by 685
Prince, S. A., Cardilli, L., Reed, J. L., Saunders, T. J., Kite, C., Douillette, K., Fournier, K., & Buckley, J. (2020) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-020-00938-3 · Cited by 574
Prevalence of Sedentary Behavior in Older Adults: A Systematic Review
Harvey, J., Chastin, S., & Skelton, D. (2013) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph10126645 · Cited by 418
“The identified papers came mostly from developed countries: Australia (4); Canada (3); Japan (2); Norway (1); Spain (2); UK (4); USA (7), and covered information from 18 surveys and reported sedentary behavior of over 500,000 older adults.”
BackgroundMethodInfluentialGorman, E., Hanson, H. M., Yang, P. H., Khan, K., Liu-Ambrose, T. Y. L., & Ashe, M. C. (2013) · European Review of Aging and Physical Activity · doi:10.1007/s11556-013-0132-x · Cited by 362
Metadata
- 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
- Venue
- Preventive Medicine
- Publisher
- Elsevier BV
- Published
- 2012-01
- Volume
- 54
- Issue
- 1
- Pages
- 82-87
- ISSN
- 0091-7435 (ISSN-L)
- 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
- 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 › Public Health, Environmental and Occupational Health › 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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