Compositional Data Analysis in Time-Use Epidemiology: What, Why, How
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F20%3A73604816" target="_blank" >RIV/61989592:15310/20:73604816 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/1660-4601/17/7/2220/htm" target="_blank" >https://www.mdpi.com/1660-4601/17/7/2220/htm</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/ijerph17072220" target="_blank" >10.3390/ijerph17072220</a>
Alternative languages
Result language
angličtina
Original language name
Compositional Data Analysis in Time-Use Epidemiology: What, Why, How
Original language description
In recent years, the focus of activity behavior research has shifted away from univariate paradigms (e.g., physical activity, sedentary behavior and sleep) to a 24-h time-use paradigm that integrates all daily activity behaviors. Behaviors are analyzed relative to each other, rather than as individual entities. Compositional data analysis (CoDA) is increasingly used for the analysis of time-use data because it is intended for data that convey relative information. While CoDA has brought new understanding of how time use is associated with health, it has also raised challenges in how this methodology is applied, and how the findings are interpreted. In this paper we provide a brief overview of CoDA for time-use data, summarize current CoDA research in time-use epidemiology and discuss challenges and future directions. We use 24-h time-use diary data from Wave 6 of the Longitudinal Study of Australian Children (birth cohort, n = 3228, aged 10.9 +/- 0.3 years) to demonstrate descriptive analyses of time-use compositions and how to explore the relationship between daily time use (sleep, sedentary behavior and physical activity) and a health outcome (in this example, adiposity). We illustrate how to comprehensively interpret the CoDA findings in a meaningful way.
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
10102 - Applied mathematics
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
2020
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
17
Issue of the periodical within the volume
7
Country of publishing house
CH - SWITZERLAND
Number of pages
17
Pages from-to
"2220-1"-"2220-17"
UT code for WoS article
000530763300052
EID of the result in the Scopus database
2-s2.0-85082791327