so | R Documentation |
so()
computes the local time of sleep onset for standard and shift
versions of the Munich ChronoType Questionnaire (MCTQ).
Note that this value is collected directly from the questionnaire if you're using the μMCTQ.
so(sprep, slat)
sprep |
An |
slat |
A |
Standard MCTQ functions were created following the guidelines in Roenneberg, Wirz-Justice, & Merrow (2003), Roenneberg, Allebrandt, Merrow, & Vetter (2012), and from The Worldwide Experimental Platform (theWeP, n.d.).
μMCTQ functions were created following the guidelines in Ghotbi et al. (2020), in addition to the guidelines used for the standard MCTQ.
MCTQ Shift functions were created following the guidelines in Juda, Vetter, & Roenneberg (2013), in addition to the guidelines used for the standard MCTQ.
See the References section to learn more.
The mctq
package works with a set of object classes specially created to
hold time values. These classes can be found in the
lubridate and hms
packages. Please refer to those package documentations to learn more about
them.
Some operations may produce an output with fractional time (e.g.,
"19538.3828571429s (~5.43 hours)"
, 01:15:44.505
). If you want, you
can round it with round_time()
.
Our recommendation is to avoid rounding, but, if you do, make sure that you only round your values after all computations are done. That way you avoid round-off errors.
An hms
object corresponding to the vectorized sum of
sprep
and slat
in a circular time frame of 24 hours.
Roenneberg, Allebrandt, Merrow, & Vetter (2012), Juda, Vetter, & Roenneberg
(2013), and The Worldwide Experimental Platform (n.d.) guidelines for so()
(SO) computation are as follows.
This computation must be applied to each section of the questionnaire.
If you are visualizing this documentation in plain text, you may have some trouble understanding the equations. You can see this documentation on the package website.
SO_{W/F} = SPrep_{W/F} + SLat_{W/F}
Where:
SO_{W/F} = Local time of sleep onset on work or work-free days.
SPrep_{W/F} = Local time of preparing to sleep on work or work-free days ("I actually get ready to fall asleep at ___ o'clock").
SLat_{W/F} = Sleep latency or time to fall asleep after preparing to sleep on work or work-free days ("I need ___ min to fall asleep").
* W = Workdays; F = Work-free days.
SO_{W/F}^{M/E/N} = SPrep_{W/F}^{M/E/N} + SLat_{W/F}^{M/E/N}
Where:
SO_{W/F}^{M/E/N} = Local time of sleep onset between two days in a particular shift or between two free days after a particular shift.
SPrep_{W/F}^{M/E/N} = Local time of preparing to sleep between two days in a particular shift or between two free days after a particular shift ("I actually get ready to fall asleep at ___ o'clock").
SLat_{W/F}^{M/E/N} = Sleep latency or time to fall asleep after preparing to sleep between two days in a particular shift or between two free days after a particular shift ("I need ___ min to fall asleep").
* W = Workdays; F = Work-free days, M = Morning shift; E = Evening shift; N = Night shift.
Ghotbi, N., Pilz, L. K., Winnebeck, E. C., Vetter, C., Zerbini, G., Lenssen, D., Frighetto, G., Salamanca, M., Costa, R., Montagnese, S., & Roenneberg, T. (2020). The μMCTQ: an ultra-short version of the Munich ChronoType Questionnaire. Journal of Biological Rhythms, 35(1), 98-110. doi: 10.1177/0748730419886986
Juda, M., Vetter, C., & Roenneberg, T. (2013). The Munich ChronoType Questionnaire for shift-workers (MCTQ Shift). Journal of Biological Rhythms, 28(2), 130-140. doi: 10.1177/0748730412475041
Roenneberg T., Allebrandt K. V., Merrow M., & Vetter C. (2012). Social jetlag and obesity. Current Biology, 22(10), 939-43. doi: 10.1016/j.cub.2012.03.038
Roenneberg, T., Wirz-Justice, A., & Merrow, M. (2003). Life between clocks: daily temporal patterns of human chronotypes. Journal of Biological Rhythms, 18(1), 80-90. doi: 10.1177/0748730402239679
The Worldwide Experimental Platform (n.d.). MCTQ. https://www.thewep.org/documentations/mctq/
Other MCTQ functions:
fd()
,
gu()
,
le_week()
,
msf_sc()
,
msl()
,
napd()
,
sd24()
,
sd_overall()
,
sd_week()
,
sdu()
,
sjl_sc()
,
sjl_weighted()
,
sjl()
,
tbt()
## Scalar example sprep <- hms::parse_hm("22:00") slat <- lubridate::dminutes(15) so(sprep, slat) #> 22:15:00 # Expected sprep <- hms::parse_hm("23:30") slat <- lubridate::dminutes(45) so(sprep, slat) #> 00:15:00 # Expected sprep <- hms::parse_hm("20:45") slat <- lubridate::as.duration(NA) so(sprep, slat) #> NA # Expected ## Vector example sprep <- c(hms::parse_hm("21:30"), hms::parse_hm("22:15")) slat <- c(lubridate::dminutes(45), lubridate::dminutes(5)) so(sprep, slat) #> 22:15:00 # Expected #> 22:20:00 # Expected
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