The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Social Network Concordance in Food Choice Among Spouses, Friends, and Siblings
Open accessAbstract
Objectives. We investigated whether eating behaviors were concordant among diverse sets of social ties. Methods. We analyzed the socioeconomic and demographic distribution of eating among 3418 members of the Framingham Heart Study observed from 1991 to 2001. We used a data-classification procedure to simplify choices into 7 nonoverlapping patterns that we matched with information on social network ties. We used correlation analysis to examine eating associations among 4 types of peers (spouses, friends, brothers, and sisters). Longitudinal multiple logistic regression was used to evaluate evidence for peer influences on eating. Results. Of all peer types, spouses showed the strongest concordances in eating patterns over time after adjustment for social contextual factors. Across all peers, the eating pattern most likely to be shared by socially connected individuals was “alcohol and snacks.” Models estimating one's current eating pattern on the basis of a peer's prior eating provided supportive evidence of a social influence process. Conclusions. Certain eating patterns appeared to be socially transmissible across different kinds of relationships. These findings represent an important step in specifying the relevant social environment in the study of health behaviors to include eating.
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The Spread of Obesity in a Large Social Network over 32 Years
Christakis, N. A., & Fowler, J. H. (2007) · New England Journal of Medicine · doi:10.1056/nejmsa066082 · Cited by 5,007
Self-citationReproducibility and validity of a semiquantitative food frequency questionnaire
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Reproducibility and validity of dietary patterns assessed with a food-frequency questionnaire
Hu, F. B., Rimm, E., Smith-Warner, S. A., Feskanich, D., Stampfer, M. J., Ascherio, A., Sampson, L., & Willett, W. C. (1999) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/69.2.243 · Cited by 1,165
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Cited by
Social contagion theory: examining dynamic social networks and human behavior
Christakis, N. A., & Fowler, J. H. (2013) · Statistics in Medicine · doi:10.1002/sim.5408 · Cited by 1,303
Self-citation70-year legacy of the Framingham Heart Study
Andersson, C., Johnson, A. D., Benjamin, E. J., Levy, D., & Vasan, R. S. (2019) · Nature Reviews Cardiology · doi:10.1038/s41569-019-0202-5 · Cited by 305
Wieland, M. L., Njeru, J. W., Okamoto, J. M., Novotny, P. J., Breen-Lyles, M. K., Goodson, M., Porraz Capetillo, G. D., Molina, L. E., & Sia, I. G. (2020) · Journal of Behavioral Medicine · doi:10.1007/s10865-019-00131-3 · Cited by 14
Using social network analysis to understand and enhance local and regional food systems
Rocker, S., Kropczynski, J., & Hinrichs, C. (2022) · Food Systems Modelling · doi:10.1016/b978-0-12-822112-9.00015-1 · Cited by 15
Best (2017) · doi:10.1093/humrep/dex313 · Cited by 14
Metadata
- Authors
- Pachucki, M. A., Jacques, P. F., & Christakis, N. A.
- Venue
- American Journal of Public Health
- Publisher
- American Public Health Association
- Published
- 2011-11
- Volume
- 101
- Issue
- 11
- Pages
- 2170-2177
- ISSN
- 0090-0036 (ISSN-L)
- 1541-0048
- OpenAlex
- W2095262123
- Cited by
- 264
- References
- 6
- FWCI
- 9.95
- Type
- journal article
- Language
- en
- Open access
- green
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