Annual variation in Internet keyword searches: Linking dieting interest to obesity and negative health outcomes

Patrick M. Markey, Charlotte N. Markey

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

This study investigated the annual variation in Internet searches regarding dieting. Time-series analysis was first used to examine the annual trends of Google keyword searches during the past 7 years for topics related to dieting within the United States. The results indicated that keyword searches for dieting fit a consistent 12-month linear model, peaking in January (following New Year's Eve) and then linearly decreasing until surging again the following January. Additional state-level analyses revealed that the size of the December-January dieting-related keyword surge was predictive of both obesity and mortality rates due to diabetes, heart disease, and stroke.

Original languageEnglish (US)
Pages (from-to)875-886
Number of pages12
JournalJournal of Health Psychology
Volume18
Issue number7
DOIs
StatePublished - Jul 2013

All Science Journal Classification (ASJC) codes

  • Applied Psychology

Keywords

  • Google
  • Internet
  • New Year's
  • diet
  • weight cycling

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