Identifying users of traditional and Internet-based resources for meal ideas: An association rule learning approach

Allison E. Doub, Meg L. Small, Aron Levin, Kristie LeVangie, Timothy R. Brick

Research output: Contribution to journalArticlepeer-review

31 Scopus citations


Increasing home cooking while decreasing the consumption of food prepared away from home is a commonly recommended weight management strategy, however research on where individuals obtain ideas about meals to cook at home is limited. This study examined the characteristics of individuals who reported using traditional and Internet-based resources for meal ideas. 583 participants who were ≥50% responsible for household meal planning were recruited to approximate the 2014 United States Census distribution on sex, age, race/ethnicity, and household income. Participants reported demographic characteristics, home cooking frequency, and their use of 4 traditional resources for meal ideas (e.g., cookbooks), and 7 Internet-based resources for meal ideas (e.g., Pinterest) in an online survey. Independent samples t-tests compared home cooking frequency by resource use. Association rule learning identified those demographic characteristics that were significantly associated with resource use. Family and friends (71%), food community websites (45%), and cookbooks (41%) were the most common resources reported. Cookbook users reported preparing more meals at home per week (M = 9.65, SD = 5.28) compared to non-cookbook users (M = 8.11, SD = 4.93; t = -3.55, p < 0.001). Resource use was generally higher among parents and varied systematically with demographic characteristics. Findings suggest that home cooking interventions may benefit by modifying resources used by their target population.

Original languageEnglish (US)
Pages (from-to)128-136
Number of pages9
StatePublished - Aug 1 2016

All Science Journal Classification (ASJC) codes

  • General Psychology
  • Nutrition and Dietetics


Dive into the research topics of 'Identifying users of traditional and Internet-based resources for meal ideas: An association rule learning approach'. Together they form a unique fingerprint.

Cite this