ArticlePDF Available

Do the Morningness-Eveningness Questionnaire and Munich ChronoType Questionnaire Change After Morning Light Treatment?

Authors:

Abstract and Figures

ᅟ The Morningness-Eveningness Questionnaire (MEQ) and Munich ChronoType Questionnaire (MCTQ) are sometimes used to estimate circadian timing. However, it remains unclear if they can reflect a change in circadian timing after a light treatment. In this study, 31 participants (25–68 years) completed both questionnaires before and after a 13–28 day morning light treatment. The dim light melatonin onset (DLMO), a physiological marker of circadian timing, was also assessed in a subsample of 16 participants. The DLMO phase advanced on average by 47 min (p < 0.001). The MEQ score increased by 1.8 points (p = 0.046). The MSFsc measure derived from the MCTQ advanced by 8.7 min (p = 0.17). The shift towards morningness observed in both questionnaires correlated with the phase advance observed in the DLMO (MEQ r = − 0.46, p = 0.036; MSFsc r = 0.81, p < 0.001). Results suggest that these circadian questionnaires can change in response to a light treatment, indicating they can reflect underlying changes in circadian timing. Trial registration Clinicaltrials.gov NCT02373189 retrospectively registered 2/26/15; NCT03513848 retrospectively registered 5/2/18.
This content is subject to copyright. Terms and conditions apply.
S H O R T R E P O R T Open Access
Do the Morningness-Eveningness
questionnaire and Munich ChronoType
questionnaire change after morning light
treatment?
Helen J. Burgess
1*
, Fumitaka Kikyo
1
, Zerbrina Valdespino-Hayden
2
, Muneer Rizvydeen
1
, Momoko Kimura
1
,
Mark H. Pollack
2
, Stevan E. Hobfoll
1
, Kumar B. Rajan
3
, Alyson K. Zalta
1,2
and John W. Burns
1
Abstract
The Morningness-Eveningness Questionnaire (MEQ) and Munich ChronoType Questionnaire (MCTQ) are sometimes
used to estimate circadian timing. However, it remains unclear if they can reflect a change in circadian timing after a
light treatment. In this study, 31 participants (2568 years) completed both questionnaires before and after a 1328 day
morning light treatment. The dim light melatonin onset (DLMO), a physiological marker of circadian timing, was also
assessed in a subsample of 16 participants. The DLMO phase advanced on average by 47 min (p<0.001).TheMEQ
score increased by 1.8 points (p= 0.046). The MSFsc measure derived from the MCTQ advanced by 8.7 min (p=0.17).
The shift towards morningness observed in both questionnaires correlated with the phase advance observed in the
DLMO (MEQ r=0.46, p=0.036;MSFscr=0.81,p< 0.001). Results suggest that these circadian questionnaires can
change in response to a light treatment, indicating they can reflect underlying changes in circadian timing.
Trial registration: Clinicaltrials.gov NCT02373189 retrospectively registered 2/26/15; NCT03513848 retrospectively
registered 5/2/18.
Keywords: Circadian, Human, Light, Melatonin, Sleep
Introduction
The dim light melatonin onset (DLMO) is the most reli-
able measure of central circadian timing in humans
(Lewy et al. 1999; Klerman et al. 2002). The onset of the
secretion of melatonin, which is tightly controlled by the
central circadian clock (suprachiasmatic nucleus, SCN)
(Moore 1996), typically begins 23 h before habitual
sleep onset (Burgess and Fogg 2008). The melatonin
rhythm must be measured in dim light, as it is sup-
pressed by light (Lewy et al. 1980). The DLMO can usu-
ally be obtained from saliva samples, collected every
half-hour or hour, in the 6 h window before habitual
sleep onset (Burgess and Fogg 2008). However, there are
significant disadvantages in measuring the DLMO: it re-
quires staff to assist in the collection and processing of
samples, significant participant effort, and the melatonin
assay can be costly (~$14 per sample). For these reasons,
there remains considerable interest in estimating circa-
dian timing with questionnaires.
Two such questionnaires include the Morningness-
Eveningness Questionnaire (MEQ) (Horne and Ostberg
1976), and the Munich ChronoType Questionnaire
(MCTQ) (Roenneberg et al. 2003). As we reviewed pre-
viously (Kantermann et al. 2015), the MEQ includes 19
questions that ask people to consider their feeling best
rhythms and indicate preferred clock time blocks for
sleep and engagement in various hypothetical activities
(e.g. physical exercise, tests, work), in addition to asses-
sing morning alertness, morning appetite, evening tired-
ness and alarm clock dependency. MEQ scores can
range from 16 to 86, with lower scores indicating
* Correspondence: Helen_J_Burgess@rush.edu
1
Biological Rhythms Research Laboratory, Department of Behavioral Sciences,
Rush University Medical Center, Chicago, IL, USA
Full list of author information is available at the end of the article
Slee
p
Science and Practic
e
© The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0
International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and
reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to
the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver
(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Burgess et al. Sleep Science and Practice (2018) 2:12
https://doi.org/10.1186/s41606-018-0031-1
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
eveningness or later circadian timing, and higher scores
indicating morningness or earlier circadian timing. By
contrast, the MCTQ focuses primarily on sleep timing
and via 14 questions, assesses the regularity of ones
work schedule, number of workdays per week, sleep tim-
ing on workdays and work-free days, and alarm clock
use on workdays and work-free days. Circadian timing is
estimated as the midpoint of sleep on work-free days
minus half of the difference between sleep duration on
work-free days and average sleep duration of the week to
control for sleep debt (midpoint of sleep on work-free
days, sleep corrected, referred to from here on as
MSFsc). Importantly, the MSFsc should only be consid-
ered valid when individuals report not using an alarm
clock on work-free days (Roenneberg et al. 2012). We
and others have reported that the estimates of circadian
timing generated from these questionnaires, do indeed
correlate significantly with the DLMO (MEQ and
DLMO rs = 0.40 to 0.70; MSFsc and DLMO rs = 0.54
to 0.68; (Kitamura et al. 2014, Kantermann et al. 2015).
A related, but to date unanswered, question is whether
these questionnaires are sensitive enough to reflect an
underlying change in circadian timing following a light
treatment. If they do, this would further support their
use as potential estimators of circadian timing when dir-
ect measurement of the DLMO is not feasible. Thus, the
objective of this study was to examine these circadian
questionnaires before and after a bright light treatment.
Materials and methods
Our sample consisted of 31 participants (23 males, 8 females,
mean age 45.9 ± 13.7 years, mean BMI 30.3 ± 6.0 kg/m
2
, 45%
Non-Hispanic African American, 32% Non-Hispanic White,
19% Hispanic White, 3% other) who were recruited from
internet advertising (e.g. craigslist.com). The majority was
not working (68% not working, 26% part-time workers, 6%
full-time workers), none had engaged in shift work in at least
the past month, and all passed a urine drug test and alcohol
breathalyzer test. The sample was derived from two separate
clinical trials that tested the mood altering effects of a
self-administered morning bright light treatment adminis-
tered at home for 1328 days. In both studies, the 1 h light
treatment was scheduled to start each morning at the sub-
jects average wake time (derived from a baseline week of
wrist actigraphy collected just prior to the start of the light
treatment), or up to 1 h earlier to accommodate morning so-
cial responsibilities (e.g. work, child care). In the first trial,
23 U.S. military veterans with chronic low back pain received
morning bright light from two broad-spectrum white light
boxes that research staff set up in their homes (33 × 18 ×
55 cm, EnergyLight HF3318/60, Philips, Inc., generated >
3000 lx at subjectseyes). The light treatment was scheduled
for 13 consecutive mornings (NCT02373189 on clinical-
trials.gov). Light readings from photosensors attached to the
light boxes were checked against light readings on each sub-
jects wrist monitor (Actiwatch Spectrum, Philips, Inc) to
monitor adherence to the light treatment. In the second trial,
8 subjects with probable post-traumatic stress disorder
(Post-Traumatic Stress Disorder Checklist for DSM-5 score >
33, (Weathers et al. 2013, Bovin et al. 2016)) received morn-
ing light from a wearable light device, the Re-timer (20 ×
14 × 5.5 cm, Re-time, Inc., Australia, generated ~ 500 lx at
subjectseyes, with peak wavelength of ~ 500 nm). The
Re-timer was individually adjusted to each subject to
optimize the light treatment, which was scheduled for 28
consecutive mornings (NCT03513848 on clinicaltrials.gov).
Light and activity readings from a monitor (Actiwatch
Spectrum, Philips, Inc) attached to the inside of the Re-timer
were used to monitor adherence to the light treatment. All
subjects included in this report received the morning light
treatment on at least 80% of the assigned mornings.
The MEQ and MCTQ were measured at the end of
the baseline week, which was also the day before the
start of the light treatment. They were then re-measured
on the day of the last light treatment, after the light
treatment had concluded. In the veteran trial, a validated
home saliva collection kit (Burgess et al. 2015; Burgess
et al. 2016) was used to assess the dim light melatonin
onset (DLMO) at the same pre and post-treatment time
points. Saliva samples were collected every half hour for
6 h in dim light (< 50 lx), starting 6 h before average
sleep onset time. All subjects refrained from caffeine and
alcohol in at least the 24 h before saliva collection, and
refrained from non-steroidal anti-inflammatory drugs
for at least 72 h before saliva collection. No participants
were taking beta-blockers or exogenous melatonin.
Melatonin levels were derived from the saliva samples
by Solidphase Inc. (Portland, ME), with a direct radio-
immunoassay using standard Buhlmann kits with assay
sensitivity of 0.5 pg/ml, intra and interassay CV < 7.5%
at 3 pg/ml. The DLMO was calculated as the clock time
(with linear interpolation) when the melatonin concen-
tration exceeded the mean of 3 low consecutive daytime
values plus twice the standard deviation of these points
(Voultsios et al. 1997). This low threshold more closely
tracks the initial rise of melatonin, when the SCN
triggers the release of melatonin from the pineal gland
(Molina and Burgess 2011). The DLMOs for seven
veterans were not valid due to low levels of melatonin
(< 5 pg/ml) or erratic melatonin profiles. The DLMO
was not assessed in the PTSD trial. The Rush University
Medical Center Institutional Review Board approved
both study protocols, which followed the principles of
the Declaration of Helsinki. All subjects gave written in-
formed consent prior to participation. The changes in
DLMO, MEQ and MSFsc (derived from the MCTQ)
were analyzed with a paired samples t-test. As morning
light is well recognized to cause circadian phase
Burgess et al. Sleep Science and Practice (2018) 2:12 Page 2 of 5
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
advances, an increase in morningness was predicted, and
a one-tailed p-value of < 0.05 was used to determine
statistical significance.
Results
The variables were normally distributed. The changes in
the DLMO, MEQ score and MSFsc from pre- to post-
light treatment are shown in Fig. 1. On average, the
DLMO significantly phase advanced by 47 min (p<0.001,
n= 16, d = 1.49). The MEQ score significantly increased
by 1.8 points (p=0.046, n= 31, d = 0.32), reflecting more
morningness after the morning light treatment. The
MSFsc advanced by 8.7 min, but this was not statistically
significant (p= 0.17, n = 31, d = 0.17). Nine subjects re-
ported using alarm clocks on their non-work days. With
those subjects removed the advance in MSFsc increased
to 14.4 min, but this change was still not significant
(p=0.12, n= 22, d = 0.25). Overall, the phase advance in
the DLMO correlated with an increase in morningness on
both questionnaires (MEQ r=0.46, p=0.036; MSFsc
r=0.81,p< 0.001, n = 16).
Discussion
These results indicate that the MEQ and MCTQ ques-
tionnaires can reflect an increase in morningness follow-
ing a morning light treatment. The MEQ score increased
significantly, reflecting more morningness, and also corre-
lated with the phase advance in the DLMO. The MSFsc
derived from the MCTQ did not significantly change with
the light treatment, but the increase in morningness did
correlate significantly with the degree of circadian phase
advance observed in the DLMO. Thus these results fur-
ther support the use of these circadian questionnaires as
potential estimators of circadian timing when direct meas-
urement of the DLMO is not feasible. Contrary to other
sleep questionnaires, the MEQ and MCTQ (at least the
earlier version we used in this study) do not have any time
frame in their instructions for completion, such as in the
past weekwhich is used in the Insomnia Severity Index
(Bastien et al. 2001)andduring the past month only
which is used in the Pittsburgh Sleep Quality Index
(Buysse et al. 1989). This lack of time reference may have
reduced the ability to detect differences in the MEQ score
and MSFsc, with assessments only 24 weeks apart. The
greater sensitivity of the MEQ to the morning light treat-
ment may be due to the questions in the MEQ assessing a
broader range of activities beyond sleep, including for ex-
ample peoplesfeeling bestrhythms and preferred clock
times for engagement in various hypothetical activities
(e.g. physical exercise, tests, work), in addition to assessing
morning alertness, morning appetite, evening tiredness
and alarm clock dependency. By contrast, the MCTQ fo-
cuses primarily on sleep timing and alarm clock use, and
responses may be more constrained by perceived societal
norms surrounding usual sleep times. Additionally, even
though the majority of our sample was not working, al-
most a third of subjects reported using an alarm clock on
their work-free days, which may reflect other non-work
social responsibilities. It remains unclear if these subjects
were reporting the setting of an alarm on these days, or
the actual waking to an alarm clock on those days. Fur-
ther, use of an alarm clock on work-free days technically
Fig. 1 The changes in MSFsc, MEQ score, and DLMO observed in each
individual subject before and after a 13 or 28 day morning light
treatment. The results for an individual subject are connected by a line.
The mean and standard deviation at each time point is also shown
Burgess et al. Sleep Science and Practice (2018) 2:12 Page 3 of 5
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
invalidates the MSFsc (Roenneberg et al. 2012), indicating
the higher potential for missing data when using the
MCTQ than when using the MEQ.
There are several limitations to our study. We were
not able to assess DLMO in all subjects, and therefore
cannot verify a significant circadian phase advance oc-
curred in the entire sample. Nonetheless, the subsample
of 16 subjects revealed a statistically significant phase
advance of ~ 50 min in response to the morning bright
light, which is remarkably consistent with the phase ad-
vance seen in the phase response curve to 1 h of light,
when administered at average wake time (~ 14 h after
the DLMO, Figure 3 in (St. Hilaire et al. 2012)). Add-
itionally, the Re-timer has been shown to elicit phase
shifts in the DLMO (Lovato and Lack 2016). Given that
objectively measured adherence to the light treatment in
both trials was reasonable, it is likely that on average the
entire sample phase advanced in response to the morn-
ing light treatment. Indeed the increase of ~ 2 points in
the MEQ observed in the full sample, was similar to that
observed in the subsample in which the DLMO was
measured. We also note that we have no control group,
and thus no measure of the natural fluctuations in these
circadian questionnaires over time. We also recognize that
our sample size was small, and therefore our analyses were
underpowered. We encourage other researchers assessing
the circadian effects of light treatment to consider adminis-
tering these circadian questionnaires both before and after
a light treatment to further explore the sensitivity of these
questionnaires in larger samples. To our knowledge this is
rarely done in light treatment studies. Future work should
also examine these relationships in larger non-clinical sam-
ples (Di Milia et al. 2013), as our sample is not necessarily
representative of the general population and was largely
male. It would also be interesting to determine if circadian
phase shifts due to other non-photic stimuli, such as ex-
ogenous melatonin, could also significantly shift the scores
derived from these circadian questionnaires.
Abbreviations
BMI: Body mass index; DLMO: Dim light melatonin onset; MCTQ: Munich
ChronoType Questionnaire; MEQ: Morningness-Eveningness Questionnaire;
MSFsc: Midpoint of sleep on work-free days sleep corrected; PTSD: Post-
traumatic stress disorder; SCN: Suprachiasmatic nucleus
Acknowledgements
We thank Karyna Bravo, Morgan Corich, Joshua Dein, Aahad Kahn, Catherine
Keefner, Mary Kennedy, Athanasios Kondilis, Othon Nunez-Montelongo, Daria
Orlowska, Philip Sanchez, Monica Thomas, Marie Vallido, Amanda Vatinno,
and Denise Zou for their assistance with data collection. Research reported
in this publication was supported by the National Center for Complementary
and Integrative Health of the National Institutes of Health under Award
Number R34AT008347, and by internal funds provided by the Department of
Psychiatry at Rush University Medical Center. Alyson Zaltas contribution was
supported by a training grant from the National Institute of Mental Health
(K23 MH103394). The content is solely the responsibility of the authors
and does not necessarily represent the official views of the National
Institutes of Health.
Competing interests
Dr. Burgess is a consultant for Natrol, LLC. Dr. Pollack reports personal fees
from Aptinyx, Bracket Global, Palo Alto Health Sciences, grants from Janssen,
outside the submitted work. In addition, Dr. Pollack has a patent SIGHA,
SAFER interviews with royalties paid and Equity in Argus, Doyen Medical,
Mensante Corporation, Mindsite, Targia Pharmaceuticals. All other authors
report no conflicts of interest.
Authorscontributions
All authors read and approved the final manuscript.
PublishersNote
Springer Nature remains neutral with regard to jurisdictional claims in
published maps and institutional affiliations.
Author details
1
Biological Rhythms Research Laboratory, Department of Behavioral Sciences,
Rush University Medical Center, Chicago, IL, USA.
2
Department of Psychiatry,
Rush University Medical Center, Chicago, IL, USA.
3
Department of Internal
Medicine, Rush University Medical Center, Chicago, IL, USA.
Received: 12 July 2018 Accepted: 22 August 2018
References
Bastien CH, Vallieres A, Morin CM. Validation of the insomnia severity index as an
outcome measure for insomnia research. Sleep Med. 2001;2(4):297307.
Bovin MJ, Marx BP, Weathers FW, Gallagher MW, Rodriguez P, Schnurr PP, Keane
TM. Psychometric properties of the PTSD checklist for diagnostic and
statistical manual of mental disorders-fifth edition (PCL-5) in veterans.
Psychol Assess. 2016;28(11):137991.
Burgess HJ, Fogg LF. Individual differences in the amount and timing of salivary
melatonin secretion. PLoS One. 2008;3(8):e3055.
Burgess HJ, Park M, Wyatt JK, Fogg LF. Home dim light melatonin onsets with
measures of compliance in delayed sleep phase disorder. J Sleep Res. 2016;
25(3):3147.
Burgess HJ, Wyatt JK, Park M, Fogg LF. Home circadian phase assessments with
measures of compliance yield accurate dim light melatonin onsets. Sleep.
2015;38(6):88997.
Buysse DJ, Reynolds CF, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh sleep
quality index: a new instrument for psychiatric practice and research.
Psychiatry Res. 1989;28:193213.
Di Milia L, Adan A, Natale V, Randler C. Reviewing the psychometric properties of
contemporary circadian typology measures. Chronobiol Int. 2013;30(10):
126171.
Horne J, Ostberg O. A self-assessment questionnaire to determine morningness-
eveningness in human circadian rhythms. Int J Chronobiol. 1976;4:97110.
Kantermann T, Sung H, Burgess HJ. Comparing the Morningness-Eveningness
questionnaire and Munich ChronoType questionnaire to the dim light
melatonin onset. J Biol Rhythm. 2015;30(5):44953.
Kitamura S, Hida A, Aritake S, Higuchi S, Enomoto M, Kato M, Vetter C,
Roenneberg T, Mishima K. Validity of the Japanese version of the Munich
ChronoType questionnaire. Chronobiol Int. 2014;31(7):84550.
Klerman EB, Gershengorn HB, Duffy JF, Kronauer RE. Comparisons of the
variability of three markers of the human circadian pacemaker. J Biol Rhythm.
2002;17(2):18193.
Lewy AJ, Cutler NL, Sack RL. The endogenous melatonin profile as a marker of
circadian phase position. J Biol Rhythm. 1999;14(3):22736.
Lewy AJ, Wehr TA, Goodwin FK, Newsome DA, Markey SP. Light suppresses
melatonin secretion in humans. Science. 1980;210(4475):12679.
Lovato N, Lack L. Circadian phase delay using the newly developed re-timer
portable light device. Sleep Biol Rhythms. 2016;14:15764.
Molina TA, Burgess HJ. Calculating the dim light melatonin onset: the impact of
threshold and sampling rate. Chronobiol Int. 2011;28(8):7148.
Moore RY. Neural control of the pineal gland. Behavioral Brain Research. 1996;73:
12530.
Roenneberg T, Allebrandt KV, Merrow M, Vetter C. Social jetlag and obesity. Curr
Biol. 2012;22(10):93943.
Roenneberg T, Wirz-Justice A, Merrow M. Life between clocks: daily temporal
patterns of human chronotypes. J Biol Rhythm. 2003;18(1):8090.
Burgess et al. Sleep Science and Practice (2018) 2:12 Page 4 of 5
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
St Hilaire MA, Gooley JJ, Khalsa SB, Kronauer RE, Czeisler CA, Lockley SW. Human
phase response curve to a 1h pulse of bright white light. J Physiol. 2012;
590(Pt 13):303545.
Voultsios A, Kennaway DJ, Dawson D. Salivary melatonin as a circadian phase
marker: validation and comparison to plasma melatonin. J Biol Rhythm. 1997;
12(5):45766.
Weathers FW, Litz BT, Keane TM, Palmieri PA, Marx BP, Schnurr PP. 2013. The
PTSD checklist for DSM-5 (PCL-5). Scale available from the National Center
for PTSD at www.ptsd.va.gov.
Burgess et al. Sleep Science and Practice (2018) 2:12 Page 5 of 5
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
1.
2.
3.
4.
5.
6.
Terms and Conditions
Springer Nature journal content, brought to you courtesy of Springer Nature Customer Service Center GmbH (“Springer Nature”).
Springer Nature supports a reasonable amount of sharing of research papers by authors, subscribers and authorised users (“Users”), for small-
scale personal, non-commercial use provided that all copyright, trade and service marks and other proprietary notices are maintained. By
accessing, sharing, receiving or otherwise using the Springer Nature journal content you agree to these terms of use (“Terms”). For these
purposes, Springer Nature considers academic use (by researchers and students) to be non-commercial.
These Terms are supplementary and will apply in addition to any applicable website terms and conditions, a relevant site licence or a personal
subscription. These Terms will prevail over any conflict or ambiguity with regards to the relevant terms, a site licence or a personal subscription
(to the extent of the conflict or ambiguity only). For Creative Commons-licensed articles, the terms of the Creative Commons license used will
apply.
We collect and use personal data to provide access to the Springer Nature journal content. We may also use these personal data internally within
ResearchGate and Springer Nature and as agreed share it, in an anonymised way, for purposes of tracking, analysis and reporting. We will not
otherwise disclose your personal data outside the ResearchGate or the Springer Nature group of companies unless we have your permission as
detailed in the Privacy Policy.
While Users may use the Springer Nature journal content for small scale, personal non-commercial use, it is important to note that Users may
not:
use such content for the purpose of providing other users with access on a regular or large scale basis or as a means to circumvent access
control;
use such content where to do so would be considered a criminal or statutory offence in any jurisdiction, or gives rise to civil liability, or is
otherwise unlawful;
falsely or misleadingly imply or suggest endorsement, approval , sponsorship, or association unless explicitly agreed to by Springer Nature in
writing;
use bots or other automated methods to access the content or redirect messages
override any security feature or exclusionary protocol; or
share the content in order to create substitute for Springer Nature products or services or a systematic database of Springer Nature journal
content.
In line with the restriction against commercial use, Springer Nature does not permit the creation of a product or service that creates revenue,
royalties, rent or income from our content or its inclusion as part of a paid for service or for other commercial gain. Springer Nature journal
content cannot be used for inter-library loans and librarians may not upload Springer Nature journal content on a large scale into their, or any
other, institutional repository.
These terms of use are reviewed regularly and may be amended at any time. Springer Nature is not obligated to publish any information or
content on this website and may remove it or features or functionality at our sole discretion, at any time with or without notice. Springer Nature
may revoke this licence to you at any time and remove access to any copies of the Springer Nature journal content which have been saved.
To the fullest extent permitted by law, Springer Nature makes no warranties, representations or guarantees to Users, either express or implied
with respect to the Springer nature journal content and all parties disclaim and waive any implied warranties or warranties imposed by law,
including merchantability or fitness for any particular purpose.
Please note that these rights do not automatically extend to content, data or other material published by Springer Nature that may be licensed
from third parties.
If you would like to use or distribute our Springer Nature journal content to a wider audience or on a regular basis or in any other manner not
expressly permitted by these Terms, please contact Springer Nature at
onlineservice@springernature.com
... The validity of the MEQ was assessed using objective indicators (Bailey and Heitkemper, 2001;Burgess et al., 2018;Griefahn et al., 2001;Horne and Östberg, 1976;Ishihara et al., 1987;Kantermann et al., 2015;Matuzaki et al., 2014). Several studies report differences in peak times of body temperature between morning and evening types (Bailey and Heitkemper, 2001;Griefahn et al., 2001;Horne and Östberg, 1976;Ishihara et al., 1987), with evening types demonstrating a significantly later peak than morning types, and with intermediate type subjects peaking between the other two. ...
... Although the MEQ score could be used to predict DLMO, a 4-hour range in DLMO was observed at a given MEQ score; therefore, the MEQ should not be used to time light or exogenous melatonin treatment with regard to the DLMO (Kantermann et al., 2015). On the other hand, Burgess et al. (2018) showed that the MEQ score also correlated with a phase advance in the DLMO, and most importantly, they indicated that the MEQ can reflect a change in circadian timing after light treatment, which can suggest underlying changes in circadian rhythm. ...
... The Morningness-Eveningness Questionnaire (MEQ) [48] will be used as a proxy marker of circadian timing. The MEQ score correlates well with the gold standard circadian phase marker, the dim light melatonin onset, and significantly increases towards more morningness after 13-28 days of a morning light treatment [49]. This will allow us to confirm an expected phase advance or earlier shift in circadian timing in response to morning light treatment. ...
Article
Full-text available
Background Inflammatory bowel disease (IBD) affects over 3 million Americans and has a relapsing and remitting course with up to 30% of patients experiencing exacerbations each year despite the availability of immune targeted therapies. An urgent need exists to develop adjunctive treatment approaches to better manage IBD symptoms and disease activity. Circadian disruption is associated with increased disease activity and may be an important modifiable treatment target for IBD. Morning light treatment, which advances and stabilizes circadian timing, may have the potential to improve IBD symptoms and disease activity, but no studies have explored these potential therapeutic benefits in IBD. Therefore, in this study, we aim to test the effectiveness of morning light treatment for patients with IBD. Methods We will recruit sixty-eight individuals with biopsy-proven IBD and clinical symptoms and randomize them to 4-weeks of morning light treatment or 4-weeks of treatment as usual (TAU), with equivalent study contact. Patient-reported outcomes (IBD-related quality of life, mood, sleep), clinician-rated disease severity, and a biomarker of gastrointestinal inflammation (fecal calprotectin) will be assessed before and after treatment. Our primary objective will be to test the effect of morning light treatment versus TAU on IBD-related quality of life and our secondary objectives will be to test the effects on clinician-rated disease activity, depression, and sleep quality. We will also explore the effect of morning light treatment versus TAU on a biomarker of gastrointestinal inflammation (fecal calprotectin), and the potential moderating effects of steroid use, restless leg syndrome, and biological sex. Discussion Morning light treatment may be an acceptable, feasible, and effective adjunctive treatment for individuals with active IBD suffering from impaired health-related quality of life. Trial registration The study protocol was registered on ClinicalTrials.gov as NCT06094608 on October 23, 2023, before recruitment began on February 1, 2024.
... Major complications include: (i) DLMO assessment is labour-intensive and invasive [11]; (ii) the sample collection occurs in laboratory settings, making it infeasible to measure DLMO continuously for a long time (e.g. greater than 30 days) [11]; (iii) the subjective choice of threshold for DLMO assessment (e.g. 3 or 4 pg ml −1 ) can affect the clock state estimation [12]; and (iv) it is costly [13]. Thus, large-scale epidemiological studies with DLMO are challenging. ...
Article
Full-text available
Laboratory studies have made unprecedented progress in understanding circadian physiology. Quantifying circadian rhythms outside of laboratory settings is necessary to translate these findings into real-world clinical practice. Wearables have been considered promising way to measure these rhythms. However, their limited validation remains an open problem. One major barrier to implementing large-scale validation studies is the lack of reliable and efficient methods for circadian assessment from wearable data. Here, we propose an approximation-based least-squares method to extract underlying circadian rhythms from wearable measurements. Its computational cost is ∼ 300-fold lower than that of previous work, enabling its implementation in smartphones with low computing power. We test it on two large-scale real-world wearable datasets: [Formula: see text] of body temperature data from cancer patients and ∼ 184 000 days of heart rate and activity data collected from the 'Social Rhythms' mobile application. This shows successful extraction of real-world dynamics of circadian rhythms. We also identify a reasonable harmonic model to analyse wearable data. Lastly, we show our method has broad applicability in circadian studies by embedding it into a Kalman filter that infers the state space of the molecular clocks in tissues. Our approach facilitates the translation of scientific advances in circadian fields into actual improvements in health.
... This is the effect of light and personality traits. It has been shown that the results in both questionnaires can vary depending on the exposure to light, which can lead to skewed results in long-term data collection for different seasons and also to problems, especially in light therapy (Burgess et al. 2018;Kantermann et al. 2015;Šmotek et al. 2020). ...
Article
Circadian preferences are frequently used as a synonym for chronotype. Both terms are based on different principles and are measured by a variant questionnaire. We focused on circadian preferences, delimited as an individual preference for the timing of various activities, and their relationship to the selected sociodemographic factors. All participants (n = 2068) filled out online questionnaires including MEQ, MCTQ, and sociodemographic information (age, sex, place of residence, marital status, childcare, education, financial security, physical and mental health). Although the concept of chronotype and circadian preference differ, the mutual correlation was high. Our results of the observed variables are similar to other studies. We revealed evening preference is related to a higher probability of living in a big city, having a single life, a higher risk of smoking, worse health status, and worse financial security. We observed a higher social jet lag among them. Our research complies with previous studies, which found that in some areas, people with evening preferences evince worse results. Due to the evening preference, these people are at a disadvantage, and the society's setting for morning operations can lead to a deepening of these differences. We recommend further research, which would focus on the practical application of results to the everyday life of participants to create preventive programs aimed at reducing the negative impact of evening preferences on life.
... nucleus or exposure to bright light[13] may also contribute to diurnal phase shifts. Furthermore, dexamethasone administration has timing-dependent circadian effects[29], and a large proportion of patients in this study (88%) received intra-operative dexamethasone. ...
Article
Full-text available
Surgery and general anaesthesia have the potential to disturb the body’s circadian timing system, which may affect postoperative outcomes. Animal studies suggest that anaesthesia could induce diurnal phase shifts, but clinical research is scarce. We hypothesised that surgery and general anaesthesia would result in peri‐operative changes in diurnal sleep–wake patterns in patients. In this single‐centre prospective cohort study, we recruited patients aged ≥18 years scheduled for elective surgery receiving ≥30 min of general anaesthesia. The Munich Chronotype Questionnaire and Pittsburgh Sleep Quality Index were used to determine baseline chronotype, sleep characteristics and sleep quality. Peri‐operative sleeping patterns were logged. Ninety‐four patients with a mean (SD) age of 52 (17) years were included; 56 (60%) were female. The midpoint of sleep (SD) three nights before surgery was 03.33 (55 min) and showed a phase advance of 40 minutes to 02.53 (67 min) the night after surgery (p < 0.001). This correlated with the midpoint of sleep three nights before surgery and was not associated with age, sex, duration of general anaesthesia or intra‐operative dexamethasone use. Peri‐operatively, patients had lower subjective sleep quality and worse sleep efficiency. Disruption started from one night before surgery and did not normalise until 6 days after surgery. We conclude that there is a peri‐operative phase advance in midpoint of sleep, confirming our hypothesis that surgery and general anaesthesia disturb the circadian timing system. Patients had decreased subjective sleep quality, worse sleep efficiency and increased daytime fatigue.
... The Munich Chronotype Questionnaire(MCTQ) [8] incorporates 14 questions about the timing of sleep and activity on work and free days. Responses can be used to assess work schedule, the timing of sleep and alarm clock use on work and free days and the number of days worked per week [31]. The midpoint of sleep on free days (MSF) can be extracted from the MCTQ and used to determine chronotype [8]. ...
Article
Full-text available
Chronotype reflects circadian timing and can be determined from biological markers (e.g., dim light melatonin onset; DLMO), or questionnaires (e.g., Morningness-Eveningness Questionnaire; MEQ, or Munich Chronotype Questionnaire; MCTQ). The study’s aim was to quantify concordance between chronotype categorisations based on these measures. A total of 72 (36f) young, healthy adults completed the MEQ and MCTQ and provided saliva samples hourly in dim light during the evening in a laboratory. The corrected midpoint of sleep on free days (MSFsc) was derived from MCTQ, and tertile splits were used to define early, intermediate and late DLMO-CT, MEQ-CT and MSFsc-CT chronotype categories. DLMO correlated with MEQ score (r = −0.25, p = 0.035) and MSFsc (r = 0.32, p = 0.015). For early, intermediate and late DLMO-CT categories, mean(SD) DLMO were 20:25(0:46), 21:33(0:10) and 23:03(0:53). For early, intermediate and late MEQ-CT categories, mean(SD) MEQ scores were 60.5(5.3), 51.4(2.9) and 40.8 (5.0). For early, intermediate and late MSFsc-CT categories, mean(SD) MSFsc were 03:23(0:34), 04:37(0:12) and 05:55(0:48). Low concordance of categorisations between DLMO-CT and MEQ-CT (37%), and between DLMO-CT and MSFsc-CT (37%), suggests chronotype categorisations depend on the measure used. To enable valid comparisons with previous results and reduce the likelihood of misleading conclusions, researchers should select measures and statistical techniques appropriate to the construct of interest and research question.
... In the context of this study, "work days" were considered weekdays, when the daily schedule was determined according to therapeutic activities provided by the hospital; and "free days" were the relatively less structured weekend days. For the purposes of this study, we chose to exclude participant responses if their hospitalization was <14 days (n = 6); this approach has been previously published (30). ...
Article
Full-text available
A growing body of evidence links the late chronotype to mental illness, aggression, and aversive personality traits. However, much of what we know about these associations is based on healthy cohorts, and it is unclear how individuals with high levels of aggression, including forensic psychiatric populations, but not offenders, are affected. The present study aimed to measure chronotype in a forensic psychiatric inpatient population, evaluate the impact of diagnosis, and identify any interactive relationships between chronotype, diagnosis, aggression, and dark triad traits. Subjects completed the reduced Morningness–Eveningness Questionnaire (rMEQ), Munich ChronoType Questionnaire (MCTQ), Pittsburgh Sleep Quality Index (PSQI), Buss Perry Aggression Questionnaire–Short Form (BPAQ-SF), and Short Dark Triad Questionnaire (SD3). We sampled 55 forensic psychiatric patients (52 males) between the ages of 23 and 73 years (mean ± SD: 39.6 ± 14.3 years). Among the patients sampled, 25% were evening types and 36% were morning types. Eveningness was greater in patients with a personality disorder; however, no chronotype differences were found for psychosis patients. Patients without psychosis had a positive association between anger and eveningness, as well as between hostility and eveningness. For subjects with a substance use disorder, morningness was positively associated with narcissism. Conversely, an association between eveningness and greater narcissism was identified in patients who did not have a substance use disorder. These findings suggest that, compared to the general population, evening types are more prevalent in forensic psychiatric populations, with the strongest preference among patients diagnosed with a personality disorder. No differences in chronotype were identified for psychosis patients, which may be related to anti-psychotic medication dosing. Given the sex distribution of the sample, these findings may be more relevant to male populations.
... Therefore, chronotype questionnaires, such as the Morningness-Eveningness Questionnaire (MEQ) [23] and Munich ChronoType Questionnaire (MCTQ) [6,24], have been developed and utilized [6,[25][26][27][28][29][30][31][32], but there are no reports of their use in the Chinese population. In this study, we used the classic MEQ to conduct a wide-ranging survey and generate the first overview of chronotype distribution in the Chinese population. ...
Article
Full-text available
Purpose Individual chronotypes are reported to be closely associated with mood, health status, and even disease progression. However, no reports of chronotype distribution in the Chinese population have been made available to date. Methods We performed a chronotype survey using the classic Morningness–Eveningness Questionnaire both online and offline. The webpage-based online survey was distributed via a social network application on mobile phones. The offline survey was distributed to local primary and middle schools. A total of 9476 questionnaires were collected, of which 8395 were valid. The mean age of the participants was 30.38 ± 11.47 years, and 37.38% were male. Results Overall, the Chinese chronotypes showed a near-normal distribution with a slight shift toward eveningness. When analyzed in different age groups, the overall Chinese population was shown to be “latest” in their early twenties. In the young population, two significant points of change in chronotype were identified at the ages of 10 and 16 years. The chronotype composition remained relatively stable during early adulthood (from 17 to 28 years of age). Conclusion This study generated the first overview of chronotype distribution in the Chinese population and will serve as essential background data for future studies.
Article
Study Objectives Fibromyalgia is characterized by chronic widespread pain, mood and sleep disturbance. Pharmacological treatments have modest efficacy and are associated with negative side effects, and alternative approaches are needed. Morning bright light treatment may assist in the management of fibromyalgia as it can reduce depressive symptoms, improve sleep, and advance circadian timing. Methods Sixty people with fibromyalgia (58 women, mean age 41.8 ± 13.3 years) were enrolled in a study comparing 4 weeks of a 1-hour daily morning bright light treatment (active treatment) to a morning dim light treatment (comparison treatment). Both light treatments included behavioral procedures to stabilize sleep timing. The morning bright light treatment was expected to produce larger improvements in pain and function than the dim light treatment, and larger improvements in potential mediators (mood, sleep, and circadian timing). Results Both the bright and dim light treatment groups achieved significant but similar levels of improvement in pain intensity, pain interference, physical function, depressive symptoms, and sleep disturbance. Overall, the sample on average displayed a clinically meaningful improvement in the Fibromyalgia Impact Questionnaire-Revised score (mean reduction of 11.2 points), comparable to that reported following physical exercise treatments. Minimal side effects were observed. Conclusions Findings indicate that the effects of a morning bright light treatment did not exceed those of a comparison dim light treatment; yet the changes on average in both conditions revealed clinically meaningful improvements. Future research is warranted to identify what elements of this trial may have contributed to the observed effects.
Thesis
Full-text available
Chronotype reflects body clock timing. Intuitively, late chronotypes should be less impacted than early chronotypes when working a night shift. However, a series of laboratory studies found early and late chronotypes had similar sleep, cognitive performance, hunger, and snack consumption before and during a single night shift.
Article
Full-text available
This study examined the psychometric properties of the posttraumatic stress disorder (PTSD) Checklist for Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition (PCL-5; Weathers, Litz, et al., 2013b) in 2 independent samples of veterans receiving care at a Veterans Affairs Medical Center (N = 468). A subsample of these participants (n = 140) was used to define a valid diagnostic cutoff score for the instrument using the Clinician-Administered PTSD Scale for DSM-5 (CAPS-5; Weathers, Blake, et al., 2013) as the reference standard. The PCL-5 test scores demonstrated good internal consistency (α = .96), test-retest reliability (r = .84), and convergent and discriminant validity. Consistent with previous studies (Armour et al., 2015; Liu et al., 2014), confirmatory factor analysis revealed that the data were best explained by a 6-factor anhedonia model and a 7-factor hybrid model. Signal detection analyses using the CAPS-5 revealed that PCL-5 scores of 31 to 33 were optimally efficient for diagnosing PTSD (κ(.5) = .58). Overall, the findings suggest that the PCL-5 is a psychometrically sound instrument that can be used effectively with veterans. Further, by determining a valid cutoff score using the CAPS-5, the PCL-5 can now be used to identify veterans with probable PTSD. However, findings also suggest the need for research to evaluate cluster structure of DSM-5. (PsycINFO Database Record
Article
Full-text available
To assess circadian preference with a score, the Morningness-Eveningness Questionnaire (MEQ) has been used for more than 3 decades now. More recently, the Munich ChronoType Questionnaire (MCTQ) was developed: it asks for sleep-wake behavior on work and free days and uses the midpoint of sleep on free days (MSF), corrected for sleep debt accumulated during the work week as an indicator of chronotype (MSFsc). In this study, we developed a Japanese version of the MCTQ by using a translation/back-translation approach including an examination of its semantic validity. In a subsequent questionnaire survey, 450 adult men and women completed the Japanese versions of the MCTQ and MEQ. Results showed that MEQ scores were significantly negatively correlated with mid-sleep parameters assessed by the MCTQ, on both, work and free days, as well as with the chronotype measure MSFsc (r = -0.580 to -0.652, all p < 0.001). As in the original German version, the strongest correlation was observed between MEQ score and MSF. A physiological validation study using dim light melatonin onset as a circadian phase marker (N = 37) showed a high correlation between chronotype as assessed with the MSFsc (r = 0.542, p < 0.001), and less so for MEQ score (r = -0.402, p = 0.055). These results demonstrate the validity of the Japanese MCTQ and provide further support of the adequacy of the MCTQ as a chronotype measure.
Article
Full-text available
The dim light melatonin onset (DLMO) is the most reliable circadian phase marker in humans, but the cost of assaying samples is relatively high. Therefore, the authors examined differences between DLMOs calculated from hourly versus half-hourly sampling and differences between DLMOs calculated with two recommended thresholds (a fixed threshold of 3 pg/mL and a variable "3k" threshold equal to the mean plus two standard deviations of the first three low daytime points). The authors calculated these DLMOs from salivary dim light melatonin profiles collected from 122 individuals (64 women) at baseline. DLMOs derived from hourly sampling occurred on average only 6-8 min earlier than the DLMOs derived from half-hourly saliva sampling, and they were highly correlated with each other (r ≥ 0.89, p < .001). However, in up to 19% of cases the DLMO derived from hourly sampling was >30 min from the DLMO derived from half-hourly sampling. The 3 pg/mL threshold produced significantly less variable DLMOs than the 3k threshold. However, the 3k threshold was significantly lower than the 3 pg/mL threshold (p < .001). The DLMOs calculated with the 3k method were significantly earlier (by 22-24 min) than the DLMOs calculated with the 3 pg/mL threshold, regardless of sampling rate. These results suggest that in large research studies and clinical settings, the more affordable and practical option of hourly sampling is adequate for a reasonable estimate of circadian phase. Although the 3 pg/mL fixed threshold is less variable than the 3k threshold, it produces estimates of the DLMO that are further from the initial rise of melatonin.
Article
The dim light melatonin onset (DLMO) assists with the diagnosis and treatment of circadian rhythm sleep disorders. Home DLMOs are attractive for cost savings and convenience, but can be confounded by home lighting and sample timing errors. We developed a home saliva collection kit with objective measures of light exposure and sample timing. We report on our first test of the kit in a clinical population. Thirty-two participants with delayed sleep phase disorder (DSPD; 17 women, aged 18-52 years) participated in two back-to-back home and laboratory phase assessments. Most participants (66%) received at least one 30-s epoch of light >50 lux during the home phase assessments, but for only 1.5% of the time. Most participants (56%) collected every saliva sample within 5 min of the scheduled time. Eighty-three per cent of home DLMOs were not affected by light or sampling errors. The home DLMOs occurred, on average, 10.2 min before the laboratory DLMOs, and were correlated highly with the laboratory DLMOs (r = 0.93, P < 0.001). These results indicate that home saliva sampling with objective measures of light exposure and sample timing, can assist in identifying accurate home DLMOs.
Article
Appropriately timed exposure to bright light has been shown to phase shift the circadian rhythm and alleviate associated sleeping difficulties. This study evaluated the effectiveness of a newly developed re-timer portable light device for phase delaying the circadian rhythm. Participants included 12 healthy, good sleepers (M = 32.3 years, SD = 12.5, male = 5). A repeated measures counterbalanced design was used to assess circadian phase delay following the use of either the re-timer or no device on two consecutive evenings. Outcome measures included dim light melatonin onset (DLMO), subjective sleepiness, and adverse effects of the re-timer. Analyses revealed a significant phase delay of DLMO following use of the re-timer (M = 46 min, SD = 76 min) on two consecutive evenings when compared to no light control (M = 3 min, SD = 81 min; p = .016). There was a trend for evening subjective sleepiness to decrease after using the re-timer compared to no light control, however this trend was not statistically significant. Adverse effects of the re-timer were headache, eye irritation, and light bothersome to eyes, however these were not severe and treatment was not requested or required. The re-timer device is an effective method of delaying the circadian rhythm in good sleepers.
Article
The dim light melatonin onset (DLMO) is the most reliable measure of central circadian timing in humans. However, it is not always possible to measure the DLMO because sample collection has to occur in the hours before usual sleep onset, it requires staff support and considerable participant effort, and it is relatively expensive. Questionnaires that ask people about the timing of their behavior, such as their sleep, may provide an easier and less expensive estimate of circadian timing. The objective of this analysis was to compare the MEQ score derived from the Morningness-Eveningness Questionnaire (MEQ) and the MSFsc derived from the Munich ChronoType Questionnaire (MCTQ) to the DLMO in the largest sample to date (N = 60). Our hypothesis was that MSFsc would correlate more highly with the DLMO than MEQ score. Our sample of 36 healthy controls and 24 patients with delayed sleep phase disorder ranged in age from 18 to 62 years. All participants slept at times of their own choosing for a week before the assessment of their DLMO. The DLMO correlated significantly with both the MEQ score (r = -0.70, p < 0.001) and MSFsc (r = 0.68, p < 0.001). A linear regression using MEQ, MSFsc, and age to predict the DLMO explained 60% of the DLMO variance. The strongest predictor of the DLMO was MSFsc (beta = 0.51, p = 0.001), followed by MEQ (beta = -0.41, p = 0.004), and age (beta = 0.26, p = 0.013). The beta values for MSFsc and MEQ score were not statistically different from each other. Nonetheless, around a 4-h range in the DLMO was observed at a given MEQ score and a given MSFsc, indicating that neither questionnaire should be exclusively used to time light or exogenous melatonin treatment, as this could result in the mistiming of these treatments relative to the DLMO, thereby potentially worsening circadian misalignment. © 2015 The Author(s).
Article
There is a need for the accurate assessment of circadian phase outside of the clinic/laboratory, particularly with the gold standard dim light melatonin onset (DLMO). We tested a novel kit designed to assist in saliva sampling at home for later determination of the DLMO. The home kit includes objective measures of compliance to the requirements for dim light and half-hourly saliva sampling. Participants were randomized to one of two 10-day protocols. Each protocol consisted of two back-to-back home and laboratory phase assessments in counterbalanced order, separated by a 5-day break. Laboratory or participants' homes. Thirty-five healthy adults, age 21-62 y. N/A. Most participants received at least one 30-sec epoch of light > 50 lux during the home phase assessments (average light intensity 4.5 lux), but on average for < 9 min of the required 8.5 h. Most participants collected every saliva sample within 5 min of the scheduled time. Ninety-two percent of home DLMOs were not affected by light > 50 lux or sampling errors. There was no significant difference between the home and laboratory DLMOs (P > 0.05); on average the home DLMOs occurred 9.6 min before the laboratory DLMOs. The home DLMOs were highly correlated with the laboratory DLMOs (r = 0.91, P < 0.001). Participants were reasonably compliant to the home phase assessment procedures. The good agreement between the home and laboratory DLMOs demonstrates that including objective measures of light exposure and sample timing during home saliva sampling can lead to accurate home DLMOs. Circadian Phase Assessments at Home, http://clinicaltrials.gov/show/NCT01487252, NCT01487252. © 2014 Associated Professional Sleep Societies, LLC.
Article
The accurate measurement of circadian typology (CT) is critical because the construct has implications for a number of health disorders. In this review, we focus on the evidence to support the reliability and validity of the more commonly used CT scales: the Morningness-Eveningness Questionnaire (MEQ), reduced Morningness-Eveningness Questionnaire (rMEQ), the Composite Scale of Morningness (CSM), and the Preferences Scale (PS). In addition, we also consider the Munich ChronoType Questionnaire (MCTQ). In terms of reliability, the MEQ, CSM, and PS consistently report high levels of reliability (>0.80), whereas the reliability of the rMEQ is satisfactory. The stability of these scales is sound at follow-up periods up to 13 mos. The MCTQ is not a scale; therefore, its reliability cannot be assessed. Although it is possible to determine the stability of the MCTQ, these data are yet to be reported. Validity must be given equal weight in assessing the measurement properties of CT instruments. Most commonly reported is convergent and construct validity. The MEQ, rMEQ, and CSM are highly correlated and this is to be expected, given that these scales share common items. The level of agreement between the MCTQ and the MEQ is satisfactory, but the correlation between these two constructs decreases in line with the number of "corrections" applied to the MCTQ. The interesting question is whether CT is best represented by a psychological preference for behavior or by using a biomarker such as sleep midpoint. Good-quality subjective and objective data suggest adequate construct validity for each of the CT instruments, but a major limitation of this literature is studies that assess the predictive validity of these instruments. We make a number of recommendations with the aim of advancing science. Future studies need to (1) focus on collecting data from representative samples that consider a number of environmental factors; (2) employ longitudinal designs to allow the predictive validity of CT measures to be assessed and preferably make use of objective data; (3) employ contemporary statistical approaches, including structural equation modeling and item-response models; and (4) provide better information concerning sample selection and a rationale for choosing cutoff points.
Article
Obesity has reached crisis proportions in industrialized societies. Many factors converge to yield increased body mass index (BMI). Among these is sleep duration. The circadian clock controls sleep timing through the process of entrainment. Chronotype describes individual differences in sleep timing, and it is determined by genetic background, age, sex, and environment (e.g., light exposure). Social jetlag quantifies the discrepancy that often arises between circadian and social clocks, which results in chronic sleep loss. The circadian clock also regulates energy homeostasis, and its disruption-as with social jetlag-may contribute to weight-related pathologies. Here, we report the results from a large-scale epidemiological study, showing that, beyond sleep duration, social jetlag is associated with increased BMI. Our results demonstrate that living "against the clock" may be a factor contributing to the epidemic of obesity. This is of key importance in pending discussions on the implementation of Daylight Saving Time and on work or school times, which all contribute to the amount of social jetlag accrued by an individual. Our data suggest that improving the correspondence between biological and social clocks will contribute to the management of obesity.
Article
Key points The human circadian pacemaker generates near‐24‐h rhythms that set the timing of many physiological, metabolic and behavioural body rhythms, and is synchronized to environmental time primarily by the 24 h light–dark cycle. The magnitude and direction of the resetting response of the pacemaker to light depends on the time of day of exposure, and the change in responses over the day is summarized in a phase response curve (PRC). A previous PRC showed that a 6.7 h bright white light exposure maximally shifted the circadian pacemaker by over 3 h. We show that a PRC to a 1 h bright white light pulse maximally shifted the circadian pacemaker by ∼2 h, despite representing only ∼15% of the exposure duration. This study demonstrates that the circadian pacemaker is sensitive to short‐duration light pulses with a non‐linear relationship between light duration and the amount of resetting. Abstract The phase resetting response of the human circadian pacemaker to light depends on the timing of exposure and is described by a phase response curve (PRC). The current study aimed to construct a PRC for a 1 h exposure to bright white light (∼8000 lux) and to compare this PRC to a <3 lux dim background light PRC. These data were also compared to a previously completed 6.7 h bright white light PRC and a <15 lux dim background light PRC constructed under similar conditions. Participants were randomized for exposure to 1 h of either bright white light ( n = 18) or <3 lux dim background light ( n = 18) scheduled at 1 of 18 circadian phases. Participants completed constant routine (CR) procedures in dim light (<3 lux) before and after the light exposure to assess circadian phase. Phase shifts were calculated as the difference in timing of dim light melatonin onset (DLMO) during pre‐ and post‐stimulus CRs. Exposure to 1 h of bright white light induced a Type 1 PRC with a fitted peak‐to‐trough amplitude of 2.20 h. No discernible PRC was observed in the <3 lux dim background light PRC. The fitted peak‐to‐trough amplitude of the 1 h bright light PRC was ∼40% of that for the 6.7 h PRC despite representing only 15% of the light exposure duration, consistent with previous studies showing a non‐linear duration–response function for the effects of light on circadian resetting.