The DOI matches its Crossref record; 35 of the 36 references it cites were found in a registry or an index.
Breaking prolonged sitting reduces postprandial glycemia in healthy, normal-weight adults: a randomized crossover trial
Open accessAbstract
Background Sedentary behavior is a risk factor for cardiometabolic disease. Regularly interrupting sedentary behavior with activity breaks may lower this risk.Objective We compared the effects of prolonged sitting, continuous physical activity combined with prolonged sitting, and regular activity breaks on postprandial metabolism.Design Seventy adults participated in a randomized crossover study. The prolonged sitting intervention involved sitting for 9 h, the physical activity intervention involved walking for 30 min and then sitting, and the regular-activity-break intervention involved walking for 1 min 40 s every 30 min. Participants consumed a meal-replacement beverage at 60, 240, and 420 min.Results The plasma incremental area under the curve (iAUC) for insulin differed between interventions (overall P < 0.001). Regular activity breaks lowered values by 866.7 IU · L(-1) · 9 h(-1) (95% CI: 506.0, 1227.5 IU · L(-1) · 9 h(-1); P < 0.001) when compared with prolonged sitting and by 542.0 IU · L(-1) · 9 h(-1) (95% CI: 179.9, 904.2 IU · L(-1) · 9 h(-1); P = 0.003) when compared with physical activity. Plasma glucose iAUC also differed between interventions (overall P < 0.001). Regular activity breaks lowered values by 18.9 mmol · L(-1) · 9 h(-1) (95% CI: 10.0, 28.0 mmol · L(-1) · 9 h(-1); P < 0.001) when compared with prolonged sitting and by 17.4 mmol · L(-1) · 9 h(-1) (95% CI: 8.4, 26.3 mmol · L(-1) · 9 h(-1); P < 0.001) when compared with physical activity. Plasma triglyceride iAUC differed between interventions (overall P = 0.023). Physical activity lowered values by 6.3 mmol · L(-1) · 9 h(-1) (95% CI: 1.8, 10.7 mmol · L(-1) · 9 h(-1); P = 0.006) when compared with regular activity breaks.Conclusion Regular activity breaks were more effective than continuous physical activity at decreasing postprandial glycemia and insulinemia in healthy, normal-weight adults. This trial was registered with the Australian New Zealand Clinical Trials registry as ACTRN12610000953033.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“In addition, replacing SB by LIPA also had as strong an effect as replacing it with MVPA (Table 4), as it has been observed experimentally [43–45].”
Citations
Cites
HASKELL, W. L., LEE, I.-M., PATE, R. R., POWELL, K. E., BLAIR, S. N., FRANKLIN, B. A., MACERA, C. A., HEATH, G. W., THOMPSON, P. D., & BAUMAN, A. (2007) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3180616b27 · Cited by 4,616
Nordestgaard, B. G., Benn, M., Schnohr, P., & Tybjærg-Hansen, A. (2007) · JAMA · doi:10.1001/jama.298.3.299 · Cited by 2,058
Fasting compared with nonfasting triglycerides and risk of cardiovascular events in women
Bansal, S., Buring, J. E., Rifai, N., Mora, S., Sacks, F. M., & Ridker, P. M. (2007) · JAMA · doi:10.1001/jama.298.3.309 · Cited by 1,619
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
Breaking Up Prolonged Sitting Reduces Postprandial Glucose and Insulin Responses
Dunstan, D. W., Kingwell, B. A., Larsen, R., Healy, G. N., Cerin, E., Hamilton, M. T., Shaw, J. E., Bertovic, D. A., Zimmet, P. Z., Salmon, J., et al. (2012) · Diabetes Care · doi:10.2337/dc11-1931 · Cited by 1,203
DECLINING RATES OF PHYSICAL ACTIVITY IN THE UNITED STATES: What Are the Contributors?
Brownson, R. C., Boehmer, T. K., & Luke, D. A. (2005) · Annual Review of Public Health · doi:10.1146/annurev.publhealth.26.021304.144437 · Cited by 952
Grøntved, A. (2011) · JAMA · doi:10.1001/jama.2011.812 · Cited by 873
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
Levitan, E. B., Song, Y., Ford, E. S., & Liu, S. (2004) · Archives of Internal Medicine · doi:10.1001/archinte.164.19.2147 · Cited by 668
Amount of time spent in sedentary behaviors and cause-specific mortality in US adults
Matthews, C. E., George, S. M., Moore, S. C., Bowles, H. R., Blair, A., Park, Y., Troiano, R. P., Hollenbeck, A., & Schatzkin, A. (2012) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.111.019620 · Cited by 655
Bey, L., & Hamilton, M. T. (2003) · The Journal of Physiology · doi:10.1113/jphysiol.2003.045591 · Cited by 509
Exercise-induced increase in muscle insulin sensitivity
Holloszy, J. O. (2005) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00123.2005 · Cited by 494
Postprandial plasma lipoprotein changes in human subjects of different ages.
Cohn, J. S., McNamara, J. R., Cohn, S. D., Ordovás, J. M., & Schaefer, E. J. (1988) · Journal of Lipid Research · doi:10.1016/s0022-2275(20)38520-5 · Cited by 448
A1C level and future risk of diabetes: a systematic review
Zhang, X., Gregg, E. W., Williamson, D. F., Barker, L. E., Thomas, W., Bullard, K. M., Imperatore, G., Williams, D. E., & Albright, A. L. (2010) · Diabetes Care · doi:10.2337/dc09-1939 · Cited by 422
Insulin and Risk of Cardiovascular Disease
Ruige, J. B., Assendelft, W. J., Dekker, J. M., Kostense, P. J., Heine, R. J., & Bouter, L. M. (1998) · Circulation · doi:10.1161/01.cir.97.10.996 · Cited by 393
Stephens, B. R., Granados, K. E., Zderic, T. W., Hamilton, M. T., & Braun, B. (2010) · Metabolism · doi:10.1016/j.metabol.2010.08.014 · Cited by 247
Studies of Tissue Permeability
Holloszy, J. O., & NARAHARA, H. T. (1965) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)97170-x · Cited by 224
Zderic, T. W., & Hamilton, M. T. (2005) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00925.2005 · Cited by 174
Moderate exercise, postprandial lipemia, and skeletal muscle lipoprotein lipase activity
Herd, S. L., Kiens, B., Boobis, L., & Hardman, A. E. (2001) · Metabolism · doi:10.1053/meta.2001.24199 · Cited by 152
Clark, S., Youngman, L. D., Palmer, A., Parish, S., Peto, R., & Collins, R. (2003) · International Journal of Epidemiology · doi:10.1093/ije/dyg023 · Cited by 142
The use of baseline covariates in crossover studies
Kenward, M. G., & Roger, J. (2009) · Biostatistics · doi:10.1093/biostatistics/kxp046 · Cited by 138
Role of local contractile activity and muscle fiber type on LPL regulation during exercise
Hamilton, M. T., Etienne, J., McClure, W. C., Pavey, B. S., & Holloway, A. K. (1998) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1998.275.6.e1016 · Cited by 132
Miyashita, M., Burns, S. F., & Stensel, D. J. (2008) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.2008.26493 · Cited by 127
Fat as a fuel: emerging understanding of the adipose tissue–skeletal muscle axis
Frayn, K. N. (2010) · Acta Physiologica · doi:10.1111/j.1748-1716.2010.02128.x · Cited by 121
Magkos, F., Tsekouras, Y., Kavouras, S. A., Mittendorfer, B., & Sidossis, L. S. (2007) · Clinical Science · doi:10.1042/cs20070134 · Cited by 112
Bey, L., Akunuri, N., Zhao, P., Hoffman, E. P., Hamilton, D. G., & Hamilton, M. T. (2003) · Physiological Genomics · doi:10.1152/physiolgenomics.00001.2002 · Cited by 106
Type 2 diabetes: postprandial hyperglycemia and increased cardiovascular risk
Gerich (2010) · Vascular Health and Risk Management · doi:10.2147/vhrm.s8216 · Cited by 101
Peddie, M. C., Rehrer, N. J., & Perry, T. L. (2012) · Progress in Lipid Research · doi:10.1016/j.plipres.2011.11.002 · Cited by 75
Self-citationGill, J. M. R., Herd, S. L., Vora, V., & Hardman, A. E. (2003) · European Journal of Applied Physiology · doi:10.1007/s00421-002-0788-9 · Cited by 70
Jackson, K. G., KNAPPER-FRANCIS, J. M. E., Morgan, L., WEBB, D. H., Zampelas, A., & Williams, C. M. (2003) · Clinical Science · doi:10.1042/cs20030134 · Cited by 34
High Stability of Markers of Cardiovascular Risk in Blood Samples
Giltay, E. J., Geleijnse, J. M., Schouten, E. G., Katan, M., & Kromhout, D. (2003) · Clinical Chemistry · doi:10.1373/49.4.652 · Cited by 33
Impact of age and menopausal status on the postprandial triacylglycerol response in healthy women
Jackson, K. G., Abraham, E. C., Smith, A. M., Murray, P., O’Malley, B., Williams, C. M., & Minihane, A. M. (2009) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2009.06.030 · Cited by 29
Stability of insulin in normal whole blood.
Walters, E. J., Henley, R., & Barnes, I. (1986) · Clinical Chemistry · doi:10.1093/clinchem/32.1.224a · Cited by 14
Mercer, D., Losos, F. J., Mason, L. A., & Kessler, G. (1986) · Clinical Chemistry · doi:10.1093/clinchem/32.1.224 · Cited by 9
Cited by
Sorted by citations
Patterson, R., McNamara, E., Tainio, M., de Sá, T. H., Smith, A. D., Sharp, S. J., Edwards, P., Woodcock, J., Brage, S., & Wijndaele, K. (2018) · European Journal of Epidemiology · doi:10.1007/s10654-018-0380-1 · Cited by 1,423
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
Patterns of Sedentary Behavior and Mortality in U.S. Middle-Aged and Older Adults
Diaz, K. M., Howard, V. J., Hutto, B., Colabianchi, N., Vena, J. E., Safford, M. M., Blair, S. N., & Hooker, S. P. (2017) · Annals of Internal Medicine · doi:10.7326/m17-0212 · Cited by 570
Exercise and physical activity recommendations for people with cerebral palsy
Verschuren, O. W., Peterson, M. D., Balemans, A. C. J., & Hurvitz, E. A. (2016) · Developmental Medicine & Child Neurology · doi:10.1111/dmcn.13053 · Cited by 476
Dempsey, P. C., Larsen, R. N., Sethi, P., Sacre, J. W., Straznicky, N. E., Cohen, N. D., Cerin, E., Lambert, G. W., Owen, N., Kingwell, B. A., et al. (2016) · Diabetes Care · doi:10.2337/dc15-2336 · Cited by 405
Metadata
- Authors
- Peddie, M. C., Bone, J. L., Rehrer, N. J., Skeaff, C. M., Gray, A. R., & Perry, T. L.
- Affiliations
- University of Otago (NZ)
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2013-08
- Volume
- 98
- Issue
- 2
- Pages
- 358-366
- ISSN
- 0002-9165 (ISSN-L)
- OpenAlex
- W2118900499
- Cited by
- 431
- References
- 36
- Citations by year
- 2026: 21 · 2025: 15 · 2024: 18 · 2023: 22 · 2022: 28 · 2021: 40 · 2020: 37 · 2019: 42 · 2018: 42 · 2017: 61 · 2016: 40 · 2015: 35 · 2014: 27 · 2013: 3
- FWCI
- 24.31
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- American Journal of Clinical Nutrition (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- sedentary behavior, prolonged sitting, postprandial blood glucose, active breaks, walking breaks, physical activity, insulin response, plasma glucose, plasma triglycerides, cardiometabolic risk, postprandial lipemia, postprandial insulin response, postprandial glucose response, postprandial triglycerides
- MeSH terms
- Adult, Beverages, Blood Glucose, Cardiovascular Diseases, Diet, Female, Humans, Insulin, Male, New Zealand, Risk Factors, Time Factors, Triglycerides, Exercise, Body Mass Index, Walking, Cross-Over Studies, Postprandial Period, Area Under Curve, Young Adult, Sedentary Behavior
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
