Robust Compositional Analysis of Physical Activity and Sedentary Behaviour Data

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/61989592:15510/18:73589121

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Robust Compositional Analysis of Physical Activity and Sedentary Behaviour Data

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Robust Compositional Analysis of Physical Activity and Sedentary Behaviour Data

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30306 - Sport and fitness sciences

Projekt

<a href="/cs/project/GA18-09188S" target="_blank" >GA18-09188S: Využití analýzy kompozičních dat pro hodnocení kombinovaného efektu pohybové aktivity, sedavého chování a spánku na dětskou obezitu</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

International Journal of Environmental Research and Public Health

ISSN

1661-7827

e-ISSN

—

Svazek periodika

15

Číslo periodika v rámci svazku

10

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

18

Strana od-do

2248

Kód UT WoS článku

000448818100190

EID výsledku v databázi Scopus

2-s2.0-85055074109