Hostname: page-component-848d4c4894-wg55d Total loading time: 0 Render date: 2024-05-22T03:58:21.177Z Has data issue: false hasContentIssue false
  • English
  • Français

Epidemiological foundations for the insurance hypothesis: Methodological considerations

Published online by Cambridge University Press:  11 May 2017

Joseph M. Boden  and
Geraldine F. H. McLeod
Joseph M. Boden
Affiliation:
Christchurch Health and Development Study, University of Otago, Christchurch School of Medicine and Health Sciences, Christchurch, New Zealand. joseph.boden@otago.ac.nzgeraldine.mcleod@otago.ac.nz
Geraldine F. H. McLeod
Affiliation:
Christchurch Health and Development Study, University of Otago, Christchurch School of Medicine and Health Sciences, Christchurch, New Zealand. joseph.boden@otago.ac.nzgeraldine.mcleod@otago.ac.nz
Get access Rights & Permissions [Opens in a new window]

Abstract

Nettle et al. evaluate evidence for the insurance hypothesis, which links obesity with the perception of food scarcity. Epidemiological findings in this area have generally been weak and inconsistent. The present commentary examines three key methodological issues arising from the literature on the association between obesity and the perception of food scarcity in humans, with suggestions for future epidemiological research.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 40 , 2017 , e109
Check for updates
Copyright
Copyright © Cambridge University Press 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Allison, P. D. (2009) Fixed effects regression models. Sage.CrossRefGoogle Scholar
Boden, J. M., Sanders, J., Munford, R. & Liebenberg, L. (2016) The same but different? Applicability of a general resilience model to understand a population of vulnerable youth. Child Indicators Research 1–18. doi: 10.1007/s12187-016-9422-y.Google Scholar
Boden, J. M., Sanders, J., Munford, R., Liebenberg, L. & McLeod, G. F. H. (2015) Paths to positive development: A model of outcomes in the New Zealand youth transitions study. Child Indicators Research 9:1–23. doi: 10.1007/s12187-015-9341-3.Google Scholar
Fergusson, D. M., Boden, J. M. & Horwood, L. J. (2007) Unemployment and suicidal behaviour in a New Zealand birth cohort: A fixed effects regression analysis. Crisis 28(2):95–101.CrossRefGoogle Scholar
Fergusson, D. M., Boden, J. M. & Horwood, L. J. (2008) Developmental antecedents of interpartner violence in a New Zealand birth cohort. Journal of Family Violence 23:737–53.CrossRefGoogle Scholar
Fergusson, D. M., McLeod, G. F. H., Horwood, L. J., Swain, N. R., Chapple, S. & Poulton, R. (2015) Life satisfaction and mental health problems (18 to 35). Psychological Medicine 45(11):2427–36. doi: 10.1017/S0033291715000422.Google Scholar
Hamerle, A. & Ronning, G. (1995) Panel analysis for qualitative variables. In: Handbook of statistical modeling for the social and behavioral sciences, ed. Arminger, G., Clogg, C. C. & Sobel, M. E., pp. 401–51. Plenum Press.Google Scholar
Muthén, L. K. & Muthén, B. O. (1998–2012) Mplus user's guide, 7th edition. Muthén & Muthén.Google Scholar
Whitaker, R. C. & Sarin, A. (2007) Change in food security status and change in weight are not associated in urban women with preschool children. Journal of Nutrition 137(9):2134–39.Google Scholar