Crowdsourcing novel childhood predictors of adult obesity.
Ontology highlight
ABSTRACT: Effective and simple screening tools are needed to detect behaviors that are established early in life and have a significant influence on weight gain later in life. Crowdsourcing could be a novel and potentially useful tool to assess childhood predictors of adult obesity. This exploratory study examined whether crowdsourcing could generate well-documented predictors in obesity research and, moreover, whether new directions for future research could be uncovered. Participants were recruited through social media to a question-generation website, on which they answered questions and were able to pose new questions that they thought could predict obesity. During the two weeks of data collection, 532 participants (62% female; age = 26.5±6.7; BMI = 29.0±7.0) registered on the website and su
SUBMITTER: Bevelander KE
PROVIDER: S-EPMC3914836 | biostudies-literature | 2014
REPOSITORIES: biostudies-literature
ACCESS DATA