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Factors influencing sedentary behaviour: A system based analysis using Bayesian networks within DEDIPAC.

Christoph BuckAnne LoyenRonja ForaitaJelle Van CauwenbergMarieke De CraemerCiaran Mac DonnchaJean-Michel OppertJohannes BrugNanna LienGreet CardonIris PigeotSebastien Chastinnull null
Published in: PloS one (2019)
Factors of the home and institutional settings as well as the social and cultural context were found to be important in the network of associations around SB supporting the priority for future research in these clusters. Particularly, occupational status was found to be the main driver of SB through the life-course. Investigating conditional associations by Bayesian networks gave a better understanding of the complex interplay of factors being associated with SB. This may provide detailed insights in the mechanisms behind the burden of SB to effectively inform policy makers for detailed intervention planning. However, considering the complexity of the issue, there is need for a more comprehensive system of data collection including objective measures of sedentary time.
Keyphrases
  • healthcare
  • physical activity
  • mental health
  • randomized controlled trial
  • public health