1993
DOI: 10.1891/1061-3749.1.1.81
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Circadian Rhythms and Nursing Research: Methodological Considerations

Abstract: The role circadian rhythms play in mental health, sleep, human development and aging, pharmacologic efficacy, immune function, and cardiovascular health makes them a natural focus of nursing research. Integration of chronobiologic concepts into nursing care demands sound empirical support. Nevertheless, issues such as detection of linear trends, the fit of circadian data to a cosinor model and circular distributions, add complexity to the collection, analysis and interpretation of circadian rhythm data. The pu… Show more

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Cited by 7 publications
(6 citation statements)
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“…These segments of data were excluded from computation of the diurnal rhythm summaries. A natural log transform was uniformly applied to the actigraphy epoch count data sequences, which were then processed to compute sets of established diurnal rhythm summary measures: (1) the three parameter fixed period single harmonic 24-h cosinor model family (mesor, magnitude, acrophase) and an associated descriptor of within-subject goodness of fit ( R 2 ) of the model (Elmore & Burr, 1993), (2) the Nonparametric Circadian Rhythm Analysis (NPCRA) family (L5 level and midpoint), M10 level and midpoint, midlevel, amplitude, relative amplitude (RA), interdaily stability (IS), intradaily variability (IV) (Van Someren et al, 1999), and (3) the 24-h lag serial autocorrelation measure (ACF at 1440 min) (Calogiuri, Weydahl, & Carandente, 2013; Nishihara, Horiuchi, Eto, & Uchida, 2001; Nishihara et al, 2002, 2012). …”
Section: Methodsmentioning
confidence: 99%
“…These segments of data were excluded from computation of the diurnal rhythm summaries. A natural log transform was uniformly applied to the actigraphy epoch count data sequences, which were then processed to compute sets of established diurnal rhythm summary measures: (1) the three parameter fixed period single harmonic 24-h cosinor model family (mesor, magnitude, acrophase) and an associated descriptor of within-subject goodness of fit ( R 2 ) of the model (Elmore & Burr, 1993), (2) the Nonparametric Circadian Rhythm Analysis (NPCRA) family (L5 level and midpoint), M10 level and midpoint, midlevel, amplitude, relative amplitude (RA), interdaily stability (IS), intradaily variability (IV) (Van Someren et al, 1999), and (3) the 24-h lag serial autocorrelation measure (ACF at 1440 min) (Calogiuri, Weydahl, & Carandente, 2013; Nishihara, Horiuchi, Eto, & Uchida, 2001; Nishihara et al, 2002, 2012). …”
Section: Methodsmentioning
confidence: 99%
“…[21][22][23] Mesor (mean of fitted curve) and median (midpoint) are measures of cycle central tendency. MAD (a nonparametric equivalent of standard deviation) and amplitude (mesor-to-peak difference) are measures of variance.…”
Section: Resultsmentioning
confidence: 99%
“…Finally, cosinor analysis assumes the presence of a deterministic cycle that is sinusoidal with a known period length, amplitude, and phase (Lentz 1990). Yet, rhythmic phenomena that do not meet these assumptions exist for 24-h periods, as well as other time intervals (Elmore and Burr 1993). Thus, if a rhythm is not detected by cosinor analysis, one cannot conclude that a rhythm does not exist.…”
Section: Discussionmentioning
confidence: 98%