Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 79

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Objectively measured sedentary behavior and physical activity in a sample of Finnish adults: a cross-sectional study

Husu, Pauliina, Suni, Jaana, Vähä-Ypyä, Henri, Sievänen, Harri, Tokola, Kari, Valkeinen, Heli, Mäki-Opas, Tomi, Vasankari, Tommi·2016·BMC Public Health

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/s12889-016-3591-y

Cites

15 of 15 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 15 references

Research works printed but not linked: 33

  1. Lee IM, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT. Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet. 2012;380:219–29. · DOI · Paper page
  2. Dempsey PC, Owen N, Biddle SJH, Dunstan DW. Managing sedentary behavior to reduce the risk of diabetes and cardiovascular disease. Curr Diab Reb. 2014;14:522. · DOI
  3. Chastin SF, Schwarz U, Skelton DA. Development of a consensus taxonomy of sedentary behaviors (SIT): report of Delphi Round 1. PLoS One. 2013;8:e82313. · DOI
  4. Borodulin K, Karki A, Laatikainen T, Peltonen M, Luoto R. Daily sedentary time and risk of cardiovascular disease: The National FINRISK 2002 Study. J Phys Act Health. 2015;12:904–8. · DOI
  5. Mork PJ, Westgaard RH. Back posture and low back muscle activity in female computer workers: a field study. Clin Biomech (Bristol, Avon). 2009;24:169–75. · DOI
  6. Zhai L, Zhang Y, Zhang D. Sedentary behaviour and the risk of depression: a meta-analysis. BJSM Online first. doi: 10.1136/bjsports-2014-093613 . · DOI · Paper page
  7. Gorman E, Hanson HM, Yang PH, Khan KM, Liu-Ambrose T, Ashe MC. Accelerometry analysis of physical activity and sedentary behavior in older adults: a systematic review and data analysis. Eur Rev Aging Phys Act. 2014;11:35–49. · DOI · Paper page
  8. Helmerhorst HJ, Brage S, Warren J, Besson H, Ekelund U. A systematic review of reliability and objective criterion-related validity of physical activity questionnaires. Int J Behav Nutr Phys Act. 2012;9:103. · DOI · Paper page
  9. Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35:1381–95. · DOI · Paper page
  10. Janssen X, Cliff DP. Issues related to measuring and interpreting objectively measured sedentary behavior data. Meas Phys Educ Exerc Sci. 2015;19:116–24. · DOI
  11. Strath SJ, Kaminsky LA, Ainsworth BE, Ekelund U, Freedson PS, Gary RA, et al. Guide to the assessment of physical activity: Clinical and research applications: a scientific statement from the American Heart Association. Circulation. 2013;128:2259–79. · DOI · Paper page
  12. Kim Y, Welk GJ. Criterion validity of competing accelerometry-based activity monitoring devices. Med Sci Sports Exerc. 2015;11:2456–63. · DOI
  13. Spittaels H, Van Cauwenberghe E, Verbestel V, De Meester F, Van Dyck D, Verloigne M, et al. Objectively measured sedentary time and physical activity time across the lifespan: a cross-sectional study in four age groups. Int J Behav Nutr Phys Act. 2012;9:149. · DOI
  14. Hansen BH, Kolle E, Dyrstad SM, Holme I, Anderssen SA. Accelerometer-determined physical activity in adults and older people. Med Sci Sports Exerc. 2012;44:266–72. · DOI · Paper page
  15. Schuna Jr JM, Johnson WD, Tudor-Locke C. Adult self-reported and objectively monitored physical activity and sedentary behaviour: NHANES 2005–2006. Int J Behav Nutr Phys Act. 2013;10:126. · DOI
  16. Hagstromer M, Oja P, Sjostrom M. Physical activity and inactivity in an adult population assessed by accelerometry. Med Sci Sports Exerc. 2007;39:1502–8. · DOI · Paper page
  17. Vähä-Ypyä H, Vasankari T, Husu P, Suni J, Sievänen H. A universal, accurate intensity-based classification of different physical activities using raw data of accelerometer. Clin Physiol Funct Imaging. 2015;35:64–70. · DOI
  18. Westerterp KR. Reliable assessment of physical activity in disease: an update on activity monitors. Curr Opin Clin Nutr Metab Care. 2014;17:401–6. · DOI
  19. Vähä-Ypyä H, Vasankari T, Husu P, Mänttäri A, Vuorimaa T, Suni J, et al. Validation of cut-points for evaluating the intensity of physical activity with accelerometry-based mean amplitude deviation (MAD). PloS One. 2015;10:e0134813. · DOI · Paper page
  20. Koskinen S, Lundqvist A, Ristiluoma N, editors. Health, functional capacity and welfare in Finland in 2011. Helsinki: National Institute for Health and Welfare (THL), Report 68/2012; 2012.
  21. Ying H, Silex C, Schnitzer A, Leonhardt S, Schiek M. Automatic step detection in the accelerometer signal. In: Proceedings of the 4th International workshop on wearable and implantable body sensor networks (BSN 2007) IFMBE Proceedings, vol. 13. 2007. p. 80–5. · DOI
  22. Mizell D. Using gravity to estimate accelerometer orientation. In: Proceedings seventh IEEE international symposium on wearable computers, vol. 2005. 2003. p. 252–3. · DOI · Paper page
  23. Sievänen H, Vähä-Ypyä H, Husu P, Suni J, Vasankari T. A universal method for accurate classification of physical activity and sedentary behavior with tri-axial accelerometry. Med Sci Sports Exerc. 2014;46:S438. · DOI
  24. Tudor-Locke C, Craig CL, Brown WJ, Clemes SA, De Cocker K, Giles-Corti B, et al. How many steps/day are enough? For adults. Int J Behav Nutr Phys Act. 2011;8:79. · DOI · Paper page
  25. Tudor-Locke C, Craig CL, Thyfault JP, Spence JC. A step-defined sedentary lifestyle index: <5000 steps/day. Appl Physiol Nutr Metab. 2013;38:100–14. · DOI · Paper page
  26. Duvivier BM, Schaper NC, Bremers MA, van Crombrugge G, Menheere PP, Kars M, et al. Minimal intensity physical activity (standing and walking) of longer duration improves insulin action and plasma lipids more than shorter periods of moderate to vigorous exercise (cycling) in sedentary subjects when energy expenditure is comparable. PLoS One. 2013;8:e55542. · DOI · Paper page
  27. Thosar SS, Bielko SL, Mather KJ, Johnston JD, Wallace JP. Effect of prolonged sitting and breaks in sitting time on endothelial function. Med Sci Sports Exerc. 2015;47:843–9. · DOI · Paper page
  28. Katzmarzyk PT. Standing and mortality in a prospective cohort of Canadian adults. Med Sci Sports Exerc. 2014;46:940–6. · DOI
  29. Tudor-Locke C, Schuna Jr JM, Frensham LJ, Proenca M. Changing the way we work: elevating energy expenditure with workstation alternatives. Int J Obes (Lond). 2014;38:755–65. · DOI
  30. Halim I, Omar AR, Saman AM, Othman I. Assessment of muscle fatigue associated with prolonged standing in the workplace. Saf Health Work. 2012;3:31–42. · DOI
  31. Härkänen T, Karvanen J, Tolonen H, Lehtonen R, Djerf K, Juntunen T, Koskinen S. Systematic handling of missing data in complex study designs-experiences from the Health 2000 and 2011 Surveys. J Appl Stat. 2016. doi: 10.1080/02664763.2016.1144725 . Published online 18 Feb 2016. · DOI
  32. Ahmed HM, Blaha MJ, Nasir K, Rivera JJ, Blumenthal RS. Effects of physical activity on cardiovascular disease. Am J Cardiol. 2012;109:288–95. · DOI · Paper page
  33. Heneweer H, Picavet HS, Staes F, Kiers H, Vanhees L. Physical fitness, rather than self-reported physical activities, is more strongly associated with low back pain: evidence from a working population. Eur Spine J. 2012;21:1265–72. · DOI

Cited by

Metadata

Authors
Husu, P., Suni, J., Vähä-Ypyä, H., Sievänen, H., Tokola, K., Valkeinen, H., Mäki-Opas, T., & Vasankari, T.
Venue
BMC Public Health
Published
2016-09-01
Volume
16
Issue
1
ISSN
1471-2458
Cited by
79
References
15
Language
en
Funders
  • Suomen Akatemia (#266759)
  • Opetus- ja Kulttuuriministeriö

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

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.