Summer activity patterns among teenage girls: harmonic shape invariant modeling to estimate circadian cycles.

Journal of Circadian Rhythms
Semhar OgbagaberRonald J Iannotti

Abstract

Physical activity as measured by activity counts over short time intervals across a 24 h period are often used to assess circadian variation. We are interested in characterizing circadian patterns in activity among adolescents and examining how these patterns vary by obesity status. New statistical approaches are needed to examine how factors affect different features of the circadian pattern and to make appropriate covariate adjustments when the outcomes are longitudinal count data. We develop a statistical model for longitudinal or repeated activity count data that is used to examine differences in the overall activity level, amplitude (defined as the difference between the lowest and highest activity level over a 24 hour period), and phase shift. Using seven days of continuous activity monitoring, we characterize the circadian patterns and compare them between obese and non-obese adolescent girls. We find a statistically significant phase delay in adolescent girls who were obese compared with their non-obese counterparts. After the appropriate adjustment for measured potential confounders, we did not find differences in mean activity level between the two groups. New statistical methodology was developed to identify a phase ...Continue Reading

References

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Citations

Oct 18, 2013·Journal of Biological Rhythms·Annette R GallantVicky Drapeau
Jan 1, 2015·Journal of Circadian Rhythms·Ruzong FanBruce Simons-Morton
Jan 1, 2018·Journal of the American Statistical Association·Sungduk Kim, Paul S Albert

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Software Mentioned

STATA
SAS
Actiwatch2

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