Background
Biological clocks govern numerous aspects of human health, including weekly clocks–called
circaseptan rhythms–that typically include early-week spikes for many illnesses.
Purpose
To determine whether contemplations for healthy behaviors also follow circaseptan
rhythms.
Methods
We assessed healthy contemplations by monitoring Google search queries (2005–2012)
in the U.S. that included the word
healthy and were Google classified as health-related (e.g., healthy diet). A wavelet analysis
was used in 2013 to isolate the circaseptan rhythm, with the resulting series compared
by estimating ratios of relative query volume (healthy versus all queries) each day
(e.g., (Monday–Wednesday)/Wednesday).
Results
Healthy searches peaked on Monday and Tuesday, thereafter declining until rebounding
modestly on Sunday. Monday and Tuesday were statistically indistinguishable (
t=1.22,
p=0.22), but their combined mean had 30% (99% CI=29, 32) more healthy queries than
the combined mean for Wednesday−Sunday. Monday and Tuesday query volume was 3% (99%
CI=2, 5) greater than Wednesday, 15% (99% CI=13, 17) greater than Thursday, 49% (99%
CI=46, 52) greater than Friday, 80% (99% CI=76, 84) greater than Saturday, and 29%
(99% CI=27, 31) greater than Sunday. We explored media-based (priming) motivations
for these patterns and they were consistently rejected.
Conclusions
Just as many illnesses have a weekly clock, so do healthy considerations. Discovery
of these rhythms opens the door for a new agenda in preventive medicine, including
implications for hypothesis development, research strategies to further explore these
rhythms, and interventions to exploit daily cycles in healthy considerations.
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References
- Dunlap J.C. Loros J.J. DeCoursey P.J. Chronobiology: biological timekeeping. Sinauer Associates, Sunderland MA2004
- Seasonality in seeking mental health information on Google.Am J Prev Med. 2013; 44: 520-525
- Repeated ambulatory monitoring reveals a Monday morning surge in blood pressure in a community-dwelling population.Am J Hypertens. 2004; 17: 1179-1183
- Modeling emergency department visit patterns for infectious disease complaints: results and application to disease surveillance.BMC Med Inform Decis Mak. 2005; 5: 4
- “I don’t like Mondays”-day of the week of coronary heart disease deaths in Scotland: study of routinely collected data.BMJ. 2000; 320: 218-219
- Detection of circaseptan rhythm and the “Monday effect” from long-term pulse rate dynamics.Conf Proc IEEE Eng Med Biol Soc. 2011; : 3780-3783
- Monday preference in onset of ischemic stroke.Am J Med. 2001; 111: 401-403
- The prevention and public health fund: a critical investment in our nation’s physical and fiscal health.American Public Health Association, Center for Public Health Policy, Washington DC2012
- Unaided smoking cessation: great American smokeout and New Year’s day quitters.J Psychosoc Oncol. 1989; 6: 217-234
- A prospective study of holiday weight gain.N Engl J Med. 2000; 342: 861-867
- Tracking the rise in popularity of electronic nicotine delivery systems (electronic cigarettes) using search query surveillance.Am J Prev Med. 2011; 40: 448-453
- A novel evaluation of World No Tobacco day in Latin America.J Med Internet Res. 2012; 14: e77
- Using digital surveillance to examine the impact of public figure pancreatic cancer announcements on media and search query outcomes.J Natl Cancer Inst Monogr. 2013; 2013: 188-194
- Novel surveillance of psychological distress during the great recession.J Affect Disord. 2012; 142: 323-330
- Population health concerns during the U.S.’ great recession.Am J Prev Med. 2014; 46: 166-170
- Assessing Google flu trends performance in the U.S. during the 2009 influenza virus A (H1N1) pandemic.PLoS One. 2011; 6: e23610
- Wavelet methods for time series analysis.Cambridge University Press, Cambridge2000
- A practical guide to wavelet analysis.Bull Am Meteorol Soc. 1998; 79: 61-78
- Travelling waves and spatial hierarchies in measles epidemics.Nature. 2001; 414: 716-723
- Wavelet theory and some of its applications.Lulea. Department of Mathematics, Luleå University of Technology, Sweden2005
- Making the most of statistical analyses: improving interpretation and presentation.Am J Pol Sci. 2000; 44: 341-355
- Multiple significance tests: the Bonferroni method.BMJ. 1995; 310: 170
- Framing, agenda setting, and priming: the evolution of three media effects models.J Comm. 2007; 57: 9-20
- The elements of statistical learning: data mining, inference, and prediction.Springer, New York NY2009
- Emergency department simulation and determination of optimal attending physician staffing schedules.Sim Conf Proc. 1999; 2: 1532-1540
- Health-related searches on the Internet.JAMA. 2004; 291: 2946
Google. 2012 Search Trends. google.com/zeitgeist/2012.
- Circaseptan (weekly) rhythms in smoking cessation considerations.JAMA Intern Med. 2014; 174: 146-148
Article Info
Publication History
Published online: April 21, 2014
Identification
Copyright
© 2014 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

