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The compositional isotemporal substitution model: A method for estimating changes in a health outcome for reallocation of time between sleep, physical activity and sedentary behaviour

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F19%3A73597842" target="_blank" >RIV/61989592:15310/19:73597842 - isvavai.cz</a>

  • Result on the web

    <a href="https://journals.sagepub.com/doi/abs/10.1177/0962280217737805?journalCode=smma" target="_blank" >https://journals.sagepub.com/doi/abs/10.1177/0962280217737805?journalCode=smma</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1177/0962280217737805" target="_blank" >10.1177/0962280217737805</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    The compositional isotemporal substitution model: A method for estimating changes in a health outcome for reallocation of time between sleep, physical activity and sedentary behaviour

  • Original language description

    How people use their time has been linked with their health. For example, spending more time being physically active is known to be beneficial for health, whereas long durations of sitting have been associated with unfavourable health outcomes. Accordingly, public health messages have advocated swapping strategies to promote the reallocation of time between parts of the time-use composition, such as &quot;Move More, Sit Less&quot;, with the aim of achieving optimal distribution of time for health. However, the majority of research underpinning these public health messages has not considered daily time use as a composition, and has ignored the relative nature of time-use data. We present a way of applying compositional data analysis to estimate change in a health outcome when fixed durations of time are reallocated from one part of a particular time-use composition to another, while the remaining parts are kept constant, based on a multiple linear regression model on isometric log ratio coordinates. In an example, we examine the expected differences in Body Mass Index z-scores for reallocations of time between sleep, physical activity and sedentary behaviour.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    STATISTICAL METHODS IN MEDICAL RESEARCH

  • ISSN

    0962-2802

  • e-ISSN

  • Volume of the periodical

    28

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    12

  • Pages from-to

    846-857

  • UT code for WoS article

    000461241300015

  • EID of the result in the Scopus database

    2-s2.0-85042110183