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Associations between sedentary behaviour and body composition, muscle function and sarcopenia in community-dwelling older adults
Open accessAbstract
SummaryWhile previous studies have reported detrimental associations of sedentary behaviours with cardiometabolic disorders and mortality, in this study, we report that higher levels of sitting time were associated with a greater risk of sarcopenia, with increased television (TV) viewing negatively associated with lean mass, independent of physical activity.IntroductionSedentary behaviour has been linked to cardiometabolic disorders and mortality, but little is known about its effects on musculoskeletal health and function. This study investigated the relationship between total sitting and TV viewing time on sarcopenia and its determinants (muscle mass, strength and function) in older adults.MethodsThis cross-sectional study included 162 community-dwelling men and women aged 60 to 86 years who had complete assessment of total body and regional lean mass (LM) and fat mass (dual-energy X-ray absorptiometry (DXA)), lower limb muscle strength, power and functional performance. Sarcopenia was defined as the lowest sex-specific quartile for relative appendicular LM plus muscle strength and/or gait speed. Total sitting and TV viewing time were self-reported using a validated questionnaire. A sitting fragmentation ratio, as an index of breaks in sitting time, was calculated as the number of sitting bouts divided by total sitting time.ResultsGreater overall sitting time was associated with an increased risk of sarcopenia; for each 1-h increment, the risk increased by 33 % [odds ratio 1.33 (95 % confidence interval (CI) 1.05, 1.68)], independent of physical activity and other lifestyle and confounding factors. TV viewing time was associated with lower total body and leg LM after adjusting for various confounders and fat mass. There were no associations between total sitting or TV viewing time or the fragmentation ratio with any other measure.ConclusionHigher levels of sedentary behaviour in older adults were associated with reduced muscle mass and an increased risk of sarcopenia in community-dwelling older adults, independent of physical activity.
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Cites
Sarcopenia: European consensus on definition and diagnosis
Cruz-Jentoft, A. J., Baeyens, J. P., Bauer, J. M., Boirie, Y., Cederholm, T., Landi, F., Martin, F. C., Michel, J.-P., Rolland, Y., Schneider, S. M., et al. (2010) · Age and Ageing · doi:10.1093/ageing/afq034 · Cited by 11,601
Fielding, R. A., Vellas, B., Evans, W. J., Bhasin, S., Morley, J. E., Newman, A. B., Abellan van Kan, G., Andrieu, S., Bauer, J., Breuille, D., et al. (2011) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2011.01.003 · Cited by 3,256 · cited 2×
“While previous research has shown that physical inactivity and prolonged periods of bed rest are associated with sarcopenia and its determinants [15, 31, 32], this study is the first to demonstrate that sedentary behaviour, specifically an increase in overall daily sitting time, is associated with an increase in the o…”
BackgroundJanssen, I., Heymsfield, S. B., & Ross, R. (2002) · Journal of the American Geriatrics Society · doi:10.1046/j.1532-5415.2002.50216.x · Cited by 3,139 · cited 1×
“It is well established that ageing is associated with marked losses in muscle mass, strength and function (termed sarcopenia), which has been associated with an increased risk of falls and disability, a loss of independence and even increased mortality [11–13].”
BackgroundSitting time and mortality from all causes, cardiovascular disease, and cancer
KATZMARZYK, P. T., CHURCH, T. S., CRAIG, C. L., & BOUCHARD, C. (2009) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3181930355 · Cited by 1,611
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
Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003–06
Healy, G. N., Matthews, C. E., Dunstan, D. W., Winkler, E. A. H., & Owen, N. (2011) · European Heart Journal · doi:10.1093/eurheartj/ehq451 · Cited by 1,368
The evolving definition of “sedentary.”
Pate, R. R., O'Neill, J. R., & Lobelo, F. (2008) · Exercise and Sport Sciences Reviews · doi:10.1097/jes.0b013e3181877d1a · Cited by 1,280
Objectively Measured Sedentary Time, Physical Activity, and Metabolic Risk
Healy, G. N., Wijndaele, K., Dunstan, D. W., Shaw, J. E., Salmon, J., Zimmet, P. Z., & Owen, N. (2008) · Diabetes Care · doi:10.2337/dc07-1795 · Cited by 1,100
Sarcopenia as a risk factor for falls in elderly individuals: results from the ilSIRENTE study
Landi, F., Liperoti, R., Russo, A., Giovannini, S., Tosato, M., Capoluongo, E., Bernabei, R., & Onder, G. (2012) · Clinical Nutrition · doi:10.1016/j.clnu.2012.02.007 · Cited by 938
Effect of 10 Days of Bed Rest on Skeletal Muscle in Healthy Older Adults
Kortebein, P., Ferrando, A., Lombeida, J., Wolfe, R., & Evans, W. J. (2007) · JAMA · doi:10.1001/jama.297.16.1772-b · Cited by 933
Salmon, J., Owen, N., Crawford, D., Bauman, A., & Sallis, J. F. (2003) · Health Psychology · doi:10.1037/0278-6133.22.2.178 · Cited by 915
Dunstan, D. W., Barr, E. L. M., Healy, G. N., Salmon, J., Shaw, J. E., Balkau, B., Magliano, D. J., Cameron, A. J., Zimmet, P. Z., & Owen, N. (2010) · Circulation · doi:10.1161/circulationaha.109.894824 · Cited by 825
Delmonico, M. J., Harris, T. B., Lee, J., Visser, M., Nevitt, M., Kritchevsky, S. B., Tylavsky, F. A., Newman, A. B., & for the Health, A. A. B. C. S. (2007) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2007.01140.x · Cited by 819
Best Practices for Using Physical Activity Monitors in Population-Based Research
MATTHEWS, C. E., HAGSTRÖMER, M., POBER, D. M., & BOWLES, H. R. (2012) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3182399e5b · Cited by 703
Methods for objective measure, quantification and analysis of sedentary behaviour and inactivity
Chastin, S. F. M., & Granat, M. H. (2010) · Gait & Posture · doi:10.1016/j.gaitpost.2009.09.002 · Cited by 323
Sedentary Behavior, Physical Activity, and Markers of Health in Older Adults
GENNUSO, K. P., GANGNON, R. E., MATTHEWS, C. E., THRAEN-BOROWSKI, K. M., & COLBERT, L. H. (2013) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e318288a1e5 · Cited by 292
Cooper, A. R., Sebire, S., Montgomery, A. A., Peters, T. J., Sharp, D. J., Jackson, N., Fitzsimons, K., Dayan, C. M., & Andrews, R. C. (2012) · Diabetologia · doi:10.1007/s00125-011-2408-x · Cited by 195 · cited 1×
“5 metabolic equivalent units [METs]) [1], have been associated with a number of cardiometabolic-related disorders, including obesity [2, 3], insulin resistance [3, 4], metabolic syndrome [5], type 2 diabetes [6] and cardiovascular disease [7] as well as overall mortality [8], independent of physical activity levels.”
BackgroundInoue, S., Sugiyama, T., Takamiya, T., Oka, K., Owen, N., & Shimomitsu, T. (2012) · Journal of Epidemiology · doi:10.2188/jea.je20110054 · Cited by 128
Cited by
Celis-Morales, C. A., Welsh, P., Lyall, D. M., Steell, L., Petermann, F., Anderson, J., Iliodromiti, S., Sillars, A., Graham, N., Mackay, D. F., et al. (2018) · BMJ · doi:10.1136/bmj.k1651 · Cited by 772
Strategies to Prevent Sarcopenia in the Aging Process: Role of Protein Intake and Exercise
Rogeri, P. S., Zanella, R., Martins, G. L., Garcia, M. D. A., Leite, G., Lugaresi, R., Gasparini, S. O., Sperandio, G. A., Ferreira, L. H. B., Souza-Junior, T. P., et al. (2021) · Nutrients · doi:10.3390/nu14010052 · Cited by 181
Factors associated with sarcopenia: A cross-sectional analysis using UK Biobank
Petermann-Rocha, F., Chen, M., Gray, S. R., Ho, F. K., Pell, J. P., & Celis-Morales, C. (2020) · Maturitas · doi:10.1016/j.maturitas.2020.01.004 · Cited by 172
Freiberger, E., Goisser, S., Porzel, S., Volkert, D., Kemmler, W., Sieber, C., & Bollheimer, C. (2015) · Clinical Interventions in Aging · doi:10.2147/cia.s82454 · Cited by 162
Kwon, J. H., Moon, K. M., & Min, K.-W. (2020) · Healthcare · doi:10.3390/healthcare8040378 · Cited by 116
Metadata
- Authors
- Gianoudis, J., Bailey, C. A., & Daly, R. M.
- Venue
- Osteoporosis International
- Published
- 2014-09-23
- Volume
- 26
- Issue
- 2
- Pages
- 571-579
- ISSN
- 0937-941X (ISSN-L)
- 1433-2965
- OpenAlex
- W2056897311
- Cited by
- 292
- References
- 18
- FWCI
- 9.14
- Type
- journal article
- Language
- en
- Open access
- green
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