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Items: 19

1.

Chronic diseases and objectively monitored physical activity profile among aged individuals - a cross-sectional twin cohort study.

Kujala UM, Hautasaari P, Vähä-Ypyä H, Waller K, Lindgren N, Iso-Markku P, Heikkilä K, Rinne J, Kaprio J, Sievänen H.

Ann Med. 2019 Jan 9:1-10. doi: 10.1080/07853890.2019.1566765. [Epub ahead of print]

PMID:
30626223
2.

Self- reported fitness and objectively measured physical activity profile among older adults: a twin study.

Waller K, Vähä-Ypyä H, Lindgren N, Kaprio J, Sievänen H, Kujala UM.

J Gerontol A Biol Sci Med Sci. 2018 Nov 15. doi: 10.1093/gerona/gly263. [Epub ahead of print]

PMID:
30445494
3.

Objectively measured physical activity profile and cognition in Finnish elderly twins.

Iso-Markku P, Waller K, Vuoksimaa E, Vähä-Ypyä H, Lindgren N, Heikkilä K, Sievänen H, Rinne J, Kaprio J, Kujala UM.

Alzheimers Dement (N Y). 2018 Jul 14;4:263-271. doi: 10.1016/j.trci.2018.06.007. eCollection 2018.

4.

Long-term leisure-time physical activity and other health habits as predictors of objectively monitored late-life physical activity - A 40-year twin study.

Waller K, Vähä-Ypyä H, Törmäkangas T, Hautasaari P, Lindgren N, Iso-Markku P, Heikkilä K, Rinne J, Kaprio J, Sievänen H, Kujala UM.

Sci Rep. 2018 Jun 20;8(1):9400. doi: 10.1038/s41598-018-27704-7.

5.

Aerobic physical activity assessed with accelerometer, diary, questionnaire, and interview in a Finnish population sample.

Hukkanen H, Husu P, Sievänen H, Tokola K, Vähä-Ypyä H, Valkeinen H, Mäki-Opas T, Suni JH, Vasankari T.

Scand J Med Sci Sports. 2018 Oct;28(10):2196-2206. doi: 10.1111/sms.13244. Epub 2018 Jul 9.

PMID:
29923623
6.

Six-minute walk test: a tool for predicting maximal aerobic power (VO max) in healthy adults.

Mänttäri A, Suni J, Sievänen H, Husu P, Vähä-Ypyä H, Valkeinen H, Tokola K, Vasankari T.

Clin Physiol Funct Imaging. 2018 May 31. doi: 10.1111/cpf.12525. [Epub ahead of print]

PMID:
29851229
7.

Subjects with cardiovascular disease or high disease risk are more sedentary and less active than their healthy peers.

Vasankari V, Husu P, Vähä-Ypyä H, Suni JH, Tokola K, Borodulin K, Wennman H, Halonen J, Hartikainen J, Sievänen H, Vasankari T.

BMJ Open Sport Exerc Med. 2018 May 2;4(1):e000363. doi: 10.1136/bmjsem-2018-000363. eCollection 2018.

8.

Reliable recognition of lying, sitting, and standing with a hip-worn accelerometer.

Vähä-Ypyä H, Husu P, Suni J, Vasankari T, Sievänen H.

Scand J Med Sci Sports. 2018 Mar;28(3):1092-1102. doi: 10.1111/sms.13017. Epub 2017 Dec 13.

PMID:
29144567
9.

Association of objectively measured sedentary behaviour and physical activity with cardiovascular disease risk.

Vasankari V, Husu P, Vähä-Ypyä H, Suni J, Tokola K, Halonen J, Hartikainen J, Sievänen H, Vasankari T.

Eur J Prev Cardiol. 2017 Aug;24(12):1311-1318. doi: 10.1177/2047487317711048. Epub 2017 May 22.

PMID:
28530126
10.

Moving to business - changes in physical activity and sedentary behavior after multilevel intervention in small and medium-size workplaces.

Aittasalo M, Livson M, Lusa S, Romo A, Vähä-Ypyä H, Tokola K, Sievänen H, Mänttäri A, Vasankari T.

BMC Public Health. 2017 Apr 17;17(1):319. doi: 10.1186/s12889-017-4229-4.

11.

Measuring Physical Activity in Free-Living Conditions-Comparison of Three Accelerometry-Based Methods.

Leinonen AM, Ahola R, Kulmala J, Hakonen H, Vähä-Ypyä H, Herzig KH, Auvinen J, Keinänen-Kiukaanniemi S, Sievänen H, Tammelin TH, Korpelainen R, Jämsä T.

Front Physiol. 2017 Jan 10;7:681. doi: 10.3389/fphys.2016.00681. eCollection 2016.

12.

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

Husu P, Suni J, Vähä-Ypyä H, Sievänen H, Tokola K, Valkeinen H, Mäki-Opas T, Vasankari T.

BMC Public Health. 2016 Sep 1;16:920. doi: 10.1186/s12889-016-3591-y.

13.
14.

Alpine skiing is associated with higher femoral neck bone mineral density.

Sievänen H, Zagorski P, Drozdzowska B, Vähä-Ypyä H, Boron D, Adamczyk P, Pluskiewicz W.

J Musculoskelet Neuronal Interact. 2015 Sep;15(3):264-9.

15.

Validation of Cut-Points for Evaluating the Intensity of Physical Activity with Accelerometry-Based Mean Amplitude Deviation (MAD).

Vähä-Ypyä H, Vasankari T, Husu P, Mänttäri A, Vuorimaa T, Suni J, Sievänen H.

PLoS One. 2015 Aug 20;10(8):e0134813. doi: 10.1371/journal.pone.0134813. eCollection 2015.

16.

Mean amplitude deviation calculated from raw acceleration data: a novel method for classifying the intensity of adolescents' physical activity irrespective of accelerometer brand.

Aittasalo M, Vähä-Ypyä H, Vasankari T, Husu P, Jussila AM, Sievänen H.

BMC Sports Sci Med Rehabil. 2015 Aug 7;7:18. doi: 10.1186/s13102-015-0010-0. eCollection 2015.

17.

KIDS OUT! Protocol of a brief school-based intervention to promote physical activity and to reduce screen time in a sub-cohort of Finnish eighth graders.

Jussila AM, Vasankari T, Paronen O, Sievänen H, Tokola K, Vähä-Ypyä H, Broberg A, Aittasalo M.

BMC Public Health. 2015 Jul 10;15:634. doi: 10.1186/s12889-015-2007-8.

18.

A universal, accurate intensity-based classification of different physical activities using raw data of accelerometer.

Vähä-Ypyä H, Vasankari T, Husu P, Suni J, Sievänen H.

Clin Physiol Funct Imaging. 2015 Jan;35(1):64-70. doi: 10.1111/cpf.12127. Epub 2014 Jan 7.

PMID:
24393233
19.

Heart rate variability changes at 2400 m altitude predicts acute mountain sickness on further ascent at 3000-4300 m altitudes.

Karinen HM, Uusitalo A, Vähä-Ypyä H, Kähönen M, Peltonen JE, Stein PK, Viik J, Tikkanen HO.

Front Physiol. 2012 Aug 30;3:336. doi: 10.3389/fphys.2012.00336. eCollection 2012.

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