Skip to main content

Dynamic Multi-chain Graphical Model for Psychosocial and Behavioral Profiles in Childhood Obesity

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7227))

Introduction

Childhood Obesity as a System Problem. Childhood obesity is a social epidemic [1],[2] that persists from childhood to adolescence and well into adulthood. Energy-intake and energy-expenditure-related behaviors – diet and physical activities – form the core of the energy-balance equation. These behaviors are heavily influenced by a complex set of interrelated psychosocial, biological, and ecological variables. The recent literature is beginning to recognize the need to study it in terms of multiple chains of causal influences flowing from distal social factors to proximate, individual factors and behaviors, and in terms of drivers of change in trends and patterns over time. This ecological, multilevel perspective calls for the analysis of obesity as a complex system that involves information collected from multiple sources and at multiple time points.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. World Health Organization. Dietary change and exercise needed to counter chronic diseases worldwide. Rev. Panam Salud Publica 13, 346–348 (2003)

    Google Scholar 

  2. Hedley, A.A., Ogden, C.L., Johnson, C.L., et al.: Prevalence of overweight and obesity among US children, adolescents, and adults 1999-2002. Journal of the American Medical Association 291, 2847–2850 (2004)

    Article  Google Scholar 

  3. Glass, T.A., McAtee, M.J.: Behavioral science a the crossroads in public healt: Extending horizons, envisioning the future. Social Science and Medicine 62, 1650–1671 (2006)

    Article  Google Scholar 

  4. Ghahramani, Z.: Learning Dynamic Bayesian Networks. In: Giles, C.L., Gori, M. (eds.) IIASS-EMFCSC-School 1997. LNCS (LNAI), vol. 1387, pp. 168–197. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  5. MacDonald, I.L., Zucchini, W.: Hidden Markov and other models for discrete-valued time series. CRC Press (1997)

    Google Scholar 

  6. Zhang, Q., Snow Jones, A., Rijmen, F., Ip, E.H.: Multivariate discrete hidden Markov models for domain-based measurements and assessment of risk factors in child development. Journal of Computational and Graphical Statistics 19(3), 746–765 (2010)

    Article  MathSciNet  Google Scholar 

  7. Ip, E.H., Snow-Jones, A., Heckert, D.A., Zhang, Q., Gondolf, E.: Latent Markov model for analyzing temporal configuration for violence profiles and trajectories in a sample of batterers. Sociological Methods and Research 39, 222–255 (2010)

    Article  MathSciNet  Google Scholar 

  8. Williamson, D., Champagne, C., Harsha, D., Han, H., Martin, C., Newton Jr., R., Stewart, T., Ryan, D.: Louisiana (LA) Health: Design and methods for a childhood obesity prevention program in rural shcool. Contemporary Clinical Trials 29(5), 783–795 (2008)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ip, E.H., Zhang, Q., Williamson, D. (2012). Dynamic Multi-chain Graphical Model for Psychosocial and Behavioral Profiles in Childhood Obesity. In: Yang, S.J., Greenberg, A.M., Endsley, M. (eds) Social Computing, Behavioral - Cultural Modeling and Prediction. SBP 2012. Lecture Notes in Computer Science, vol 7227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29047-3_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-29047-3_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29046-6

  • Online ISBN: 978-3-642-29047-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics