Compositional Data Analysis in Time-Use Epidemiology: What, Why, How
| Autor: | Željko Pedišić, Javier Palarea-Albaladejo, Tim Olds, Karel Hron, Josep Antoni Martín-Fernández, Dorothea Dumuid |
|---|---|
| Přispěvatelé: | Agencia Estatal de Investigación, Dumuid, Dorothea, Pedišić, Željko, Palarea-Albaladejo, Javier, Martín-Fernández, Josep Antoni, Hron, Karel, Olds, Timothy |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Data Analysis
medicine.medical_specialty Longitudinal study Multivariate analysis Health Toxicology and Mutagenesis Physical activity physical activity lcsh:Medicine Epidemiologia -- Models matemàtics Article Coda Cohort Studies 03 medical and health sciences 0302 clinical medicine sedentary behavior Epidemiology Activities of Daily Living Epidemiology -- Mathematical models medicine Anàlisi multivariable Humans 030212 general & internal medicine Longitudinal Studies sleep Child Exercise Adiposity lcsh:R Public Health Environmental and Occupational Health Univariate Australia 030229 sport sciences Sedentary behavior compositional data Compositional data Psychology Cognitive psychology |
| Zdroj: | International Journal of Environmental Research and Public Health, Vol 17, Iss 7, p 2220 (2020) International Journal of Environmental Research and Public Health Volume 17 Issue 7 International Journal of Environmental Research and Public Health, 2020, vol. 17, núm. 7, p. 2220 Articles publicats (D-IMA) DUGiDocs – Universitat de Girona instname |
| ISSN: | 1660-4601 |
| Popis: | 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-hour 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-hour 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|