Hip and wrist accelerometers showed consistent associations with fitness and fatness in children aged 8‐12 years
Leppänen, M. H., Migueles, J. H., Cadenas‐Sanchez, C., Henriksson, P., Mora‐Gonzalez, J., Henriksson, H., Labayen, I., Löf, M., Esteban‐Cornejo, I., & Ortega, F. B. (2020). Hip and wrist accelerometers showed consistent associations with fitness and fatness in children aged 8‐12 years. Acta Paediatrica, 109(5), 995-1003. https://doi.org/10.1111/apa.15043
Julkaistu sarjassa
Acta PaediatricaTekijät
Löf, M. |
Päivämäärä
2020Tekijänoikeudet
© 2019 Foundation Acta Pædiatrica.
Aim. Physical activity (PA) has traditionally been measured wearing accelerometers on the hip, but they are increasingly being worn on the wrist. We compared hip and wrist accelerometers with regard to their acceptability and any associations between PA and fatness and fitness.
Methods. This cross‐sectional study comprised 103 children aged 8‐12 years (62% boys) who participated in the ActiveBrains trial by the University of Granada, Spain, in 2014‐2016. The children wore both ActiGraph GT3X+ hip and wrist accelerometers round the clock for seven days. The acceptability of both placements was evaluated by a questionnaire, while the children' fat mass index, waist circumference, and cardiorespiratory fitness (CRF) were assessed.
Results. Wearing wrist accelerometers caused less disturbance, mainly because hip accelerometers caused more issues during the night. The measurements from both placements showed that lower PA levels were associated with fatness and that increased PA was associated with CRF.
Conclusion. Both placements showed consistent results with regard to measuring associations between PA levels and fatness and fitness. However, wearing them on the wrist caused less discomfort at night. Future studies are needed to confirm the best placement for accelerometers during PA studies.
...
Julkaisija
Wiley-BlackwellISSN Hae Julkaisufoorumista
0803-5253Asiasanat
Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/33143875
Metadata
Näytä kaikki kuvailutiedotKokoelmat
- Liikuntatieteiden tiedekunta [3120]
Lisätietoja rahoituksesta
This study was conducted under the umbrella of the ActiveBrains and the SmarterMove projects supported by the MINECO/FEDER (DEP2013-47540, DEP2016-79512-R, RYC-2011-09011). Other study funders were: the University of Granada, Research and Knowledge Transfer Fund 2016; Excellence actions: Scientific Units of Excellence; the Unit of Excellence on Exercise and Health, the Andalusian Regional Government, Consejeria de Conocimiento, Investigacion y Universidades, the European Regional Development Fund (SOMM17/6107/UGR), the SAMID III network (RETICS); the ISCIII- Sub-Directorate General for Research Assessment and Promotion, the EXERNET Research Network on Exercise and Health in Special Populations (DEP2005-00046/ACTI) and the European Union’s 2020 research and innovation programme (grant number) 667302. Further funding for individual authors came from the Spanish Ministry of Education, Culture and Sport (FPU15/02645), the Spanish Ministry of Economy and Competitiveness (BES-2014-068829), the Strategic Research Area Health Care Science, Karolinska Institutet and Umeå University and the Alicia Koplowitz Foundation. ...Lisenssi
Samankaltainen aineisto
Näytetään aineistoja, joilla on samankaltainen nimeke tai asiasanat.
-
The Effects of Using a Mobile Wellness Application on Physical Activity Levels : A Four-Month Follow-Up Study Among Aged People
Kari, Tuomas; Makkonen, Markus; Frank, Lauri; Carlsson, Joanna; Sell, Anna (University of Maribor, 2020)Insufficient physical activity threatens people in older age. Thus, finding ways to support a physically active life in the older age is important. Digital wellness technologies have been presented as potential ... -
Survival of the Fittest? Examining Lapsing Behaviour in the Context of Elderly People and the Use of Physical Activity Tracker Applications
Makkonen, Markus; Kari, Tuomas; Frank, Lauri (University of Hawai'i at Manoa, 2022)Physical activity (PA) tracker applications have been proposed as one potential solution to the increasingly prevalent physical inactivity problem among elderly people, but their long-term potential is limited by the ... -
Comparison of acceleration and EMG signals in quantifying physical activity
Mikkola, Sakari (2012)Fyysisen aktiivisuuden puute on muodostumassa kasvavaksi ongelmaksi maailmanlaajuisesti. WHO:n mukaan yli 15 vuotiaista noin 31% eivät liikkuneet terveytensä kannalta tarpeeksi vuonna 2008. Liikkumattomuus on luokiteltu ... -
Digital Coaching Motivating Young Elderly People towards Physical Activity
Kettunen, Eeva; Kari, Tuomas; Frank, Lauri (MDPI AG, 2022)The share of the elderly population is increasing globally, and it is important to help them to maintain their physical activity levels and ability to function to as late an age as possible. This qualitative intervention ... -
Associations of physical activity intensities, impact intensities and osteogenic index with proximal femur bone traits among sedentary older adults
Savikangas, Tiina; Sipilä, Sarianna; Rantalainen, Timo (Elsevier, 2021)Background Dynamic high-intensity physical activity is thought to be beneficial for older adults’ bone health. Traditional volume-based processing of accelerometer-measured physical activity data, quantified on a ...
Ellei toisin mainittu, julkisesti saatavilla olevia JYX-metatietoja (poislukien tiivistelmät) saa vapaasti uudelleenkäyttää CC0-lisenssillä.