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Annual variation in Internet keyword searches

Linking dieting interest to obesity and negative health outcomes

Bibliographic Data

ID7844252
AuthorsPatrick M Markey (0000-0002-2401-2327, Villanova University), Charlotte N Markey (Rutgers, the State University of New Jersey), Charlotte H Markey (0000-0001-5431-6017)
Year2013
Volume18
Issue7
Pages875-886
Publication date2013-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Health Psychology (JOURNAL)
Journal identifiersISSN: 1359-1053 • E-ISSN: 1461-7277
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/1359105312445080
PMID22992586
OpenAlexW2089988812
LanguageEN
Citations received3
References cited33

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

Body mass index · Dieting · Obesity · The Internet · Variation (astronomy · Weight loss · World Wide Web · Computer Science · Culinary Culture and Tourism · Data-Driven Disease Surveillance · Medicine · Nutritional Studies and Diet · Psychology · Endocrinology · Gerontology

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Unique citing works3
Citations per year0,25
Citation span2014 - 2021 (8)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 3

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