Cited by 445Circadian rhythm and melatoninSleep and Work-Related FatigueSleep and related disorders

The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index; none of the 43 sources its claims cite is checked for support yet.

Social Jetlag, Chronotype, and Cardiometabolic Risk

Open access
Wong, Patricia M., Hasler, Brant P., Kamarck, Thomas W., Muldoon, Matthew F., Manuck, Stephen B.·2015·The Journal of Clinical Endocrinology & Metabolism

Abstract

CONTEXT: Shift work, which imposes a habitual disruption in the circadian system, has been linked to increased incidence of cardiometabolic diseases, and acute circadian misalignment alters various metabolic processes. However, it remains unclear whether day-to-day circadian dysregulation contributes to these risks beyond poor sleep and other behavioral characteristics. OBJECTIVE: Individuals differ in circadian phase preference, known as chronotype, but may be constrained by modern work obligations to specific sleep schedules. Individuals experience social jetlag (SJL) due to a habitual discrepancy between their endogenous circadian rhythm and actual sleep times imposed by social obligations. Here, we examined whether chronotype and/or SJL associate with components of cardiovascular disease risk beyond the known effects of sleep disturbances, poor health behaviors, and depressive symptomatology. DESIGN: Participants were healthy, midlife adults who worked part- or full-time day shifts (n = 447; mean age, 42.7 [range, 30-54] y; 53% female; 83% white). Chronotype was assessed with the Composite Scale of Morningness. SJL was quantified as the difference (in minutes) between the midpoints of actigraphy-derived sleep intervals before work vs non-workdays. RESULTS: Multiple regression analyses showed that SJL related to a lower high-density lipoprotein-cholesterol level, higher triglycerides, higher fasting plasma insulin, insulin resistance, and adiposity (P < .05), even after adjustment for subjective sleep quality, actigraphy-derived sleep characteristics, depressive symptomatology, and health behaviors. Evening chronotype associated with lower high-density lipoprotein-cholesterol after adjustment for covariates. CONCLUSION: Our findings suggest that a misalignment of sleep timing is associated with metabolic risk factors that predispose to diabetes and atherosclerotic cardiovascular disease.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

In 447 midlife day-shift workers, greater actigraphy-derived social jetlag was associated with adverse metabolic markers—lower HDL cholesterol, higher triglycerides, fasting insulin, insulin resistance, waist circumference, and BMI—after adjustment for sleep, health behaviors, and depression. Evening chronotype was more weakly associated with lower HDL cholesterol, while neither chronotype nor social jetlag related to blood pressure or resting heart rate.

Key findings

  • In fully adjusted models, social jetlag remained associated with lower HDL cholesterol (β = −0.09, P = .036), higher triglycerides (β = .11, P = .026), fasting insulin (β = .11, P = .033), HOMA-IR (β = .11, P = .031), waist circumference (β = .15, P = .002), and BMI (β = .17, P = .001).
  • Participants with >60 min social jetlag vs ≤60 min had higher geometric mean triglycerides (107.15 vs 91.20 mg/dL), fasting insulin (13.49 vs 12.02 U/mL), HOMA-IR (4.07 vs 3.72), waist circumference (94.04 vs 88.86 cm), and BMI (28.28 vs 26.33 kg/m²), and lower HDL cholesterol (54.14 vs 56.59 mg/dL).
  • Evening chronotype was associated with lower HDL cholesterol after full adjustment (β = −0.083, P = .047); its association with triglycerides became nonsignificant (P = .127). Neither social jetlag nor chronotype was significantly related to resting heart rate or blood pressure (P > .05).
  • Mean social jetlag was 44 min (SD 32); 84.8% had a later midsleep on free days vs workdays, and only 6% had social jetlag of 1 hour or more.

Methods

  • AHAB-II sample: 490 midlife adults recruited, final 447 after exclusions; mean age 42.7 years (range 30–54), 53% female, 83% white, working part- or full-time day shifts; shift workers were excluded.
  • Chronotype was assessed with the Composite Morningness Scale (CSM), inverted so higher scores indicate greater eveningness. Social jetlag was quantified with Actiwatch-16 worn 24 hours/day for 7 days as the absolute difference between actigraphy-derived midsleep on free days vs workdays.
  • Hierarchical linear regressions predicted cardiometabolic variables; model 1 adjusted for demographics and sleep characteristics, and model 2 added health behaviors and depressive symptomatology. Skewed variables were transformed.

Limitations

  • Stated: objective circadian phase was unavailable; collecting samples in the same morning time frame irrespective of chronotype may have underestimated variability and chronotype effects; meal timing was not examined; and the cross-sectional design precludes causal inference.
  • Stated/evident: the sample had few evening types (4.9%, n = 22) and a limited social jetlag range (mean 44 min; only 6% ≥1 hour), possibly underestimating associations and contributing to null chronotype results. The sample was also mostly white, midlife, employed day-shift adults, limiting generalizability.

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Integrity signals

Registry

Crossref · 10.1210/jc.2015-2923

Cites

54 of 54 references verified0 citation errors · 0 not checkable

Statistics

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Claims the paper makes

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Show all 56 claims

  • Probably not a substantial claim. 24
  • It may state two separate claims as one. 17
33 of 33
  • The paper relies on this without support.

    Actigraphy-derived sleep intervals accurately reflect participants' actual sleep timing.

    “Participants were asked to wear the Actiwatch-16 (Philips Electronics), a wrist accelerometer that samples movement several times per second.Participants wore the Actiwatch 24 hours a day for 7 days and were instructed to keep the watch on even when showering.”
    “Sleep onset was defined as a period lasting at least 10 consecutive minutes with Ͻ 40 counts of activity (ie, movement) per epoch.Wake onset was defined as 10 consecutive minutes of Ն 40 activity counts per epoch.Midsleep, defined as the midpoint between sleep onset and wake onset, was calculated separately for each workday and free day and averaged within each day type.”
  • The paper relies on this without support.

    Actigraphy-derived sleep patterns are not influenced by retrospective reporting bias.

    “Actigraphy provides a behavioral measure of sleep patterns that, unlike self-reported questionnaires, is not influenced by retrospective reporting bias.”
  • The paper relies on this without support.

    Hemodynamic and metabolic factors show circadian rhythms and individuals vary in the timing of these rhythms.

    “Given that hemodynamic and metabolic factors show circadian rhythms and that individuals vary in the timing of these rhythms”
3 of 3

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Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Reported prevalence of hour-long social jetlag conflicts with Table 4

    Major

    The discussion says only 28 participants had social jetlag of one hour or more, but Table 4 lists 111 participants with more than 60 minutes. The latter group alone exceeds the reported count.

  • Model 1 HDL association is described as significant

    Minor

    The results describe the SJL association with lower HDL cholesterol as significant at P < .05 after the Model 1 adjustments, but Table 2 gives its Model 1 P value as .069.

  • Alcohol-HDL association has opposite directions

    Minor

    The discussion says greater alcohol consumption was associated with lower HDL cholesterol, whereas Table 3 reports a positive HDL coefficient for alcohol (.24**).

3 of 3

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Metadata

Authors
Wong, P. M., Hasler, B. P., Kamarck, T. W., Muldoon, M. F., & Manuck, S. B.
Affiliations
  • University of Pittsburgh (US)
  • Department of Psychiatry (B.P.H.), Pennsylvania 15213
Corresponding author
Wong, Patricia M.
Venue
The Journal of Clinical Endocrinology & Metabolism
Published
2015-12-01
Volume
100
Issue
12
Pages
4612-4620
ISSN
  • 0021-972X (ISSN-L)
  • 1945-7197
OpenAlex
W2180967840
Cited by
444
References
54
Citations by year
2026: 27 · 2025: 44 · 2024: 40 · 2023: 52 · 2022: 59 · 2021: 47 · 2020: 53 · 2019: 46 · 2018: 34 · 2017: 25 · 2016: 15 · 2015: 1
FWCI
13.86
Type
journal article
Language
en
Open access
Licence
public-domain
Locations
  • The Journal of Clinical Endocrinology & Metabolism (publishedVersion, public-domain)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • University of Pittsburgh
  • National Institutes of Health (PO1 HL040962, HL040962)
  • Medical Center, University of Pittsburgh
  • National Heart, Lung, and Blood Institute (P01HL040962)
  • National Institute on Drug Abuse (K01DA032557)
Topics
  • Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
Keywords
social jetlag, chronotype, cardiometabolic risk, circadian misalignment, sleep timing, evening chronotype, HDL cholesterol, triglycerides, insulin resistance, fasting insulin, adiposity, diabetes risk, atherosclerotic cardiovascular disease, middle-aged adults, shift work
MeSH terms
Adult, Cardiovascular Diseases, Circadian Rhythm, Depression, Female, Humans, Insulin, Insulin Resistance, Life Style, Cholesterol, HDL, Male, Metabolic Diseases, Middle Aged, Social Environment, Triglycerides, Work Schedule Tolerance, Health Behavior, Sleep Disorders, Circadian Rhythm, Jet Lag Syndrome, Adiposity

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