sjl_sc | R Documentation |
sjl_sc()
computes the Jankowski's (2017) sleep-corrected social jetlag
for standard, micro, and shift versions of the Munich ChronoType
Questionnaire (MCTQ).
sjl_sc_rel()
is just a wrapper for sjl_sc()
with abs = FALSE
.
Please note that the Jankowski (2017) did not proposed a "relative" sleep-corrected social jetlag, but the user may consider using it.
sjl_sc(so_w, se_w, so_f, se_f, abs = TRUE, method = "shorter")
sjl_sc_rel(so_w, se_w, so_f, se_f, method = "shorter")
so_w |
An |
se_w |
An |
so_f |
An |
se_f |
An |
abs |
(optional) a |
method |
(optional) a string indicating which method the function must
use to compute the social jetlag. See the Methods section to learn
more (default: |
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.).
\mu
MCTQ 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 mctq:::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.
If abs = TRUE
, a Duration
object corresponding
to the absolute sleep-corrected social jetlag.
If abs = FALSE
, a Duration
object
corresponding to the relative sleep-corrected social jetlag.
The output may also vary depending on the method
used.
In an article published in 2017, Konrad S. Jankowski argued that the original
formula for computing the social jetlag (SJL
) captures not only the
misalignment between social and biological time, but also the sleep debt
resulting from sleep deprivation during workdays. Jankowski then proposed the
following guideline for a sleep-corrected social jetlag
(SJL_{sc}
) computation.
The Jankowski's alternative is disputed. We recommend seeing Roenneberg, Pilz, Zerbini, & Winnebeck (2019) discussion about it (see item 3.4.2).
For MCTQ^{Shift}
, the computation below must be applied to
each shift section of the questionnaire.
Due to time arithmetic issues, sjl_sc()
does a slightly different
computation by default than those proposed by the author mentioned above.
See vignette("sjl-computation", package = "mctq")
for more details.
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.
\textrm{If } SD_{W} > SD_{F} \; \& \; SE_{W} \leq SE_{F} \; , \;
SJL_{sc} = | SE_{F} - SE_{W} |
\textrm{Else } \; , \; SJL_{sc} = | SO_{F} - SO_{W} |
Where:
SJL_{sc}
= Jankowski's sleep-corrected social jetlag.
SO_{W}
= Local time of sleep onset on workdays.
SE_{W}
= Local time of sleep end on workdays.
SO_{F}
= Local time of sleep onset on work-free days.
SE_{F}
= Local time of sleep end on work-free days.
* W
= Workdays; F
= Work-free days.
\textrm{If } SD_W^{M/E/N} > SD_F^{M/E/N} \; \& \; SE_W^{M/E/N}
\leq SE_F^{M/E/N} \; , \; SJL_{sc}^{M/E/N} = | SE_F^{M/E/N} -
SE_W^{M/E/N} |
\textrm{Else } \; , \; | SJL_{sc}^{M/E/N} = SO_F^{M/E/N} -
SO_W^{M/E/N} |
Where:
SJL_{sc}^{M/E/N}
= Jankowski's sleep-corrected social jetlag in a
particular shift.
SO_W^{M/E/N}
= Local time of sleep onset between two days in a
particular shift.
SE_W^{M/E/N}
= Local time of sleep end between two days in a
particular shift.
SO_F^{M/E/N}
= Local time of sleep onset between two free days after
a particular shift.
SE_F^{M/E/N}
= Local time of sleep end between two free days after a
particular shift.
* W
= Workdays; F
= Work-free days, M
=
Morning shift; E
= Evening shift; N
= Night shift.
There are different approaches to compute the sleep-corrected social jetlag
(SJL_{sc}
). By default, sjl_sc()
uses an approach that we
call "the shorter interval approach" ("shorter"
).
The topics below provide a simple explanation of each method supported by
sjl_sc()
. To get a detail understating of this methods, see
vignette("sjl-computation", package = "mctq")
.
"difference"
By using method = "difference"
, sjl_sc()
will do the exact computation
proposed by Jankowski, i.e., SJL_{sc}
will be computed as the
linear difference between SO_f
/SE_f
and SO_W
/SE_W
(see the
Guidelines section).
We do not recommend using this method, as it has many limitations.
"shorter"
This is the default method for sjl_sc()
. It's based on the shorter interval
between SO_f
/SE_f
and SO_W
/SE_W
, solving most of the
issues relating to SJL_{sc}
computation.
"longer"
The "longer"
method uses the same logic of the "shorter"
method, but,
instead of using the shorter interval between SO_f
/SE_f
and
SO_W
/SE_W
, it uses the longer interval between the two,
considering a two-day window.
This method may help in special contexts, like when dealing with shift-workers that have a greater than 12 hours distance between their sleep hours.
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 \mu
MCTQ: an ultra-short version of the Munich ChronoType
Questionnaire. Journal of Biological Rhythms, 35(1), 98-110.
\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1177/0748730419886986")}
Jankowski K. S. (2017). Social jet lag: sleep-corrected formula. Chronobiology International, 34(4), 531-535. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/07420528.2017.1299162")}
Juda, M., Vetter, C., & Roenneberg, T. (2013). The Munich ChronoType
Questionnaire for shift-workers (MCTQ^{Shift}
). Journal of
Biological Rhythms, 28(2), 130-140. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1177/0748730412475041")}
Roenneberg T., Allebrandt K. V., Merrow M., & Vetter C. (2012). Social jetlag and obesity. Current Biology, 22(10), 939-43. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.cub.2012.03.038")}
Roenneberg, T., Pilz, L. K., Zerbini, G., & Winnebeck, E. C. (2019). Chronotype and social jetlag: a (self-) critical review. Biology, 8(3), 54. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.3390/biology8030054")}
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. \Sexpr[results=rd]{tools:::Rd_expr_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()
,
sjl_weighted()
,
so()
,
tbt()
## Scalar example
so_w <- hms::parse_hm("02:00")
se_w <- hms::parse_hm("10:00")
so_f <- hms::parse_hm("01:00")
se_f <- hms::parse_hm("08:00")
sjl_sc(so_w, se_w, so_f, se_f)
#> [1] "3600s (~1 hours)" # Expected
sjl_sc(so_w, se_w, so_f, se_f, abs = FALSE)
#> [1] "-3600s (~-1 hours)" # Expected (negative sjl_sc)
sjl_sc_rel(so_w, se_w, so_f, se_f) # Wrapper function
#> [1] "-3600s (~-1 hours)" # Expected (negative sjl_sc)
sjl(msl(so_w, sdu(so_w, se_w)), msl(so_f, sdu(so_f, se_f)))
#> [1] "5400s (~1.5 hours)" # Expected
so_w <- hms::parse_hm("22:00")
se_w <- hms::parse_hm("06:00")
so_f <- hms::parse_hm("01:00")
se_f <- hms::parse_hm("06:00") # sd_w > sd_f & se_w <= se_f
sjl_sc(so_w, se_w, so_f, se_f) # sjl_sc = | se_f - se_w |
#> [1] "0s" # Expected
sjl_sc(so_w, se_w, so_f, se_f, abs = FALSE)
#> [1] "0s" # Expected
sjl_sc_rel(so_w, se_w, so_f, se_f) # Wrapper function
#> [1] "0s" # Expected
sjl(msl(so_w, sdu(so_w, se_w)), msl(so_f, sdu(so_f, se_f)))
#> [1] "5400s (~1.5 hours)" # Expected
so_f <- hms::as_hms(NA)
sjl_sc(so_w, se_w, so_f, se_f)
#> [1] NA # Expected
## Vector example
so_w <- c(hms::parse_hm("00:00"), hms::parse_hm("01:00"))
se_w <- c(hms::parse_hm("08:00"), hms::parse_hm("07:00"))
so_f <- c(hms::parse_hm("01:00"), hms::parse_hm("01:00"))
se_f <- c(hms::parse_hm("09:00"), hms::parse_hm("09:00"))
sjl_sc(so_w, se_w, so_f, se_f)
#> [1] "3600s (~1 hours)" "0s" # Expected
sjl_sc(so_w, se_w, so_f, se_f, abs = FALSE)
#> [1] "3600s (~1 hours)" "0s" # Expected
sjl_sc_rel(so_w, se_w, so_f, se_f) # Wrapper function
#> [1] "3600s (~1 hours)" "0s" # Expected
sjl(msl(so_w, sdu(so_w, se_w)), msl(so_f, sdu(so_f, se_f)))
#> [1] "3600s (~1 hours)" "3600s (~1 hours)" # Expected
## See other examples in '?sjl()'
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