Robust Compositional Analysis of Physical Activity and Sedentary Behaviour Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F18%3A73589121" target="_blank" >RIV/61989592:15310/18:73589121 - isvavai.cz</a>
Alternative codes found
RIV/61989592:15510/18:73589121
Result on the web
<a href="https://www.mdpi.com/1660-4601/15/10/2248/htm" target="_blank" >https://www.mdpi.com/1660-4601/15/10/2248/htm</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/ijerph15102248" target="_blank" >10.3390/ijerph15102248</a>
Alternative languages
Result language
angličtina
Original language name
Robust Compositional Analysis of Physical Activity and Sedentary Behaviour Data
Original language description
Although there is an increasing awareness of the suitability of using compositional data methodology in public health research, classical methods of statistical analysis have been primarily used so far. The present study aims to illustrate the potential of robust statistics to model movement behaviour using Czech adolescent data. We investigated: (1) the inter-relationship between various physical activity (PA) intensities, extended to model relationships by age; and (2) the associations between adolescents’ PA and sedentary behavior (SB) structure and obesity. These research questions were addressed using three different types of compositional regression analysis—compositional covariates, compositional response, and regression between compositional parts. Robust counterparts of classical regression methods were used to lessen the influence of possible outliers. We outlined the differences in both classical and robust methods of compositional data analysis. There was a pattern in Czech adolescents’ movement/non-movement behavior—extensive SB was related to higher amounts of light-intensity PA, and vigorous PA ratios formed the main source of potential aberrant observations; aging is associated with more SB and vigorous PA at the expense of light-intensity PA and moderate-intensity PA. The robust counterparts indicated that they might provide more stable estimates in the presence of outlying observations. The findings suggested that replacing time spent in SB with vigorous PA may be a powerful tool against adolescents’ obesity.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30306 - Sport and fitness sciences
Result continuities
Project
<a href="/en/project/GA18-09188S" target="_blank" >GA18-09188S: Application of a novel compositional data analysis approach for the evaluation of combined effects of 24-hour lifestyle behaviors on childhood obesity</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Environmental Research and Public Health
ISSN
1661-7827
e-ISSN
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Volume of the periodical
15
Issue of the periodical within the volume
10
Country of publishing house
CH - SWITZERLAND
Number of pages
18
Pages from-to
2248
UT code for WoS article
000448818100190
EID of the result in the Scopus database
2-s2.0-85055074109