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Food pattern analysis over time: unhealthful eating trajectories predict obesity

International Journal of Obesity volume 36, pages 686–694 (2012)Cite this article

Abstract

Background:

Analysis of dietary patterns is prominent in nutrition literatures, yet few studies have taken advantage of multiple repeated measurements to understand the nature of individual-level changes over time in food choice, or the relation between these changes and body mass index (BMI).

Objective:

To investigate changes in eating patterns at the individual level across three exam periods, and to prospectively examine the relation of eating trajectories to BMI at the cohort level.

Design:

The study included 3418 participants at baseline. Clinically measured BMI and dietary intake were assessed during three exam periods between 1991 and 2001 using a validated food frequency questionnaire. An individual's eating trajectory across exam periods was analyzed using sequence analysis, and then used to estimate outcomes of continuous BMI and categorical obesity status. Ordinary least squares regression models with robust standard errors were adjusted for socio-economic and demographic confounders, baseline BMI and baseline eating.

Results:

A total of 66.2% (n=1614) of participants change their diet pattern during the study period, 33.8% (n=823) remain stable. After accounting for potential confounders, an unhealthful trajectory is significantly associated with a 0.42 kg m−2 increase in BMI (confidence interval (CI): 0.1, 0.7). Those with an unhealthful trajectory are 1.79 times more likely to be overweight (relative risk ratio, 95% CI: 1.1, 2.8) and 2.4 times more likely to be obese (relative risk ratio, 95% CI: 1.3, 4.4). Moreover, a number of specific diet transitions between exams are predictive of weight gain or loss.

Conclusion:

Contextualizing an individual's current eating behaviors with an eye towards diet history may be an important boon in the reduction of obesity. Although it may not be realistic for many people to shift from the least to most healthful diet, results from this study suggest that consistent movement in an overall healthier direction is associated with less weight gain.

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Acknowledgements

This work has been supported in part by National Institutes of Health, National Institute on Aging NRSA #1F31AG033503-01A1; National Science Foundation Dissertation Improvement Award, #0824568; National Institutes of Health; National Institute on Aging P-01 #AG031093 and the Robert Wood Johnson Foundation Health & Society Scholars program. The Harvard University Committee on Human Subjects approved this study, and Boston University approved and administered the original data collection protocol. This study began as a chapter of a doctoral thesis; appreciation is given to the Framingham Heart Study, who provided data for the limited usage of Nicholas Christakis lab at Harvard University. Nicholas Christakis, Michele Lamont and Filiz Garip provided essential guidance and feedback as dissertation committee members; Paul F Jacques provided advice regarding FHS data collection protocols and guidance on epidemiological matters; the Christakis Lab Group provided feedback on an early draft; A Janet Tomiyama and Jessica Jones-Smith provided helpful comments on later drafts. Laurie Meneades provided assistance with data preparation.

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Author notes

  1. M A Pachucki: Dr Mark Pachucki is a Robert Wood Johnson Foundation Health & Society Scholar in the joint program at the University of California, Berkeley School of Public Health and University of California, San Francisco Center for Health and Community.

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  1. School of Public Health, University of California, Berkeley, CA, USA

    M A Pachucki

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Correspondence to M A Pachucki.

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Pachucki, M. Food pattern analysis over time: unhealthful eating trajectories predict obesity. Int J Obes 36, 686–694 (2012). https://doi.org/10.1038/ijo.2011.133

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Keywords

  • diet change
  • sequence analysis
  • diet patterns
  • population health
  • social behavior

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