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 accessAbstract
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.
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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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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Evening chronotype was associated with younger age, lower family income, later average bed time and later average wake time, greater sleep debt, poorer sleep quality, greater depressive symptomology, and less physical activity (P Ͻ .05).”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Participant characteristics
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“only 4.9% (n ϭ 22) of the participants met a conventional threshold for evening chronotype (CSM score Յ 26) (26).”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Discussion
What the sources say
- Not checked yetcites [26] Natale, 2001, Additional validity evidence for the composite scale of morningness, Pers Individ Dif source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“evening chronotype was related to higher triglycerides and lower HDL cholesterol (P Ͻ .05)”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Metabolic and vascular risk factors
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“greater SJL associated positively with triglycerides, fasting insulin, insulin resistance, waist circumference, and BMI, and negatively with HDL-cholesterol (P Ͻ .05).”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Metabolic and vascular risk factors
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Rests on an assumption: Actigraphy-derived sleep intervals accurately reflect participants' actual sleep timing.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Evening chronotype was associated with younger age, lower family income, later average bed time and later average wake time, greater sleep debt, poorer sleep quality, greater depressive symptomology, and less physical activity (P Ͻ .05).”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Participant characteristics
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Evening chronotype was associated with younger age, lower family income, later average bed time and later average wake time, greater sleep debt, poorer sleep quality, greater depressive symptomology, and less physical activity (P Ͻ .05).”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Participant characteristics
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“evening chronotype was related to higher triglycerides and lower HDL cholesterol (P Ͻ .05)”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Metabolic and vascular risk factors
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“greater SJL associated positively with triglycerides, fasting insulin, insulin resistance, waist circumference, and BMI, and negatively with HDL-cholesterol (P Ͻ .05).”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Metabolic and vascular risk factors
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Rests on an assumption: Actigraphy-derived sleep intervals accurately reflect participants' actual sleep timing.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Evening chronotype was associated with younger age, lower family income, later average bed time and later average wake time, greater sleep debt, poorer sleep quality, greater depressive symptomology, and less physical activity (P Ͻ .05).”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Participant characteristics
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Greater eveningness correlated moderately with SJL in the current sample (r ϭ 0.13; P ϭ .007).”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Participant characteristics
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Rests on an assumption: Actigraphy-derived sleep intervals accurately reflect participants' actual sleep timing.
- Probably not a substantial claim. 24
- It may state two separate claims as one. 17
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Evening chronotype was associated with younger age, lower family income, later average bed time and later average wake time, greater sleep debt, poorer sleep quality, greater depressive symptomology, and less physical activity (P Ͻ .05).”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Participant characteristics
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“68 participants (15.2%) had an earlier midsleep on free days relative to workdays”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Participant characteristics
Strength:plain· not yet calibratedn = 68Tests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Rests on an assumption: Actigraphy-derived sleep intervals accurately reflect participants' actual sleep timing.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“neither chronotype nor SJL was related significantly to resting heart rate or BP (P Ͼ .05).”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Metabolic and vascular risk factors
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: Actigraphy-derived sleep intervals accurately reflect participants' actual sleep timing.
In the paper
“In accord with previous reports, we found greater SJL linked to earlier wake times and shorter sleep durations on workdays, as well as later wake times and longer sleep duration on free days (P Ͻ .05)(14).”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Discussion
What the sources say
- Not checked yetcites [14] Roenneberg, 2003, Life between clocks: daily temporal patterns of human chronotypes, J Biol Rhythms source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“greater alcohol consumption, with higher glucose and lower HDLcholesterol”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Discussion
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“In accord with previous reports, we found greater SJL linked to earlier wake times and shorter sleep durations on workdays, as well as later wake times and longer sleep duration on free days (P Ͻ .05)(14).”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Discussion
What the sources say
- Not checked yetcites [14] Roenneberg, 2003, Life between clocks: daily temporal patterns of human chronotypes, J Biol Rhythms source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“healthy adults asked to eat and sleep 12 hours out of phase from their regular schedules exhibited vascular and endocrine abnormalities, such as increased arterial pressure, a reversed daily cortisol rhythm, and postprandial glucose levels in the range of a prediabetic state (8).”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Abstract
What the sources say
- Not checked yetcites [8] Scheer, 2009, Adverse metabolic and cardiovascular consequences of circadian misalignment, Proc Natl Acad Sci USA source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Chronotype quantified by the CSM has been validated with respect to variation in the diurnal rhythms of body temperature and subjective alertness (26).”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Chronotype
What the sources say
- Not checked yetcites [26] Natale, 2001, Additional validity evidence for the composite scale of morningness, Pers Individ Dif source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“A global PSQI score Ͼ 5 indicates poor sleep quality.This threshold has a diagnostic sensitivity of 89.6% and specificity of 86.5%, distinguishing between healthy controls (good sleepers) and patients reporting sleep complaints (poor sleepers) (27).”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Sleep and SJL
What the sources say
- Not checked yetcites [27] Buysse, 1989, The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research, Psychiatry Res source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Evening types are also more likely to be depressed (10), overweight (11), diabetic, and hypertensive (12), in comparison to morning types.”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Abstract
What the sources say
- Not checked yetcites [10] Levandovski, 2011, Depression scores associate with chronotype and social jetlag in a rural population, Chronobiol Int source
- Not checked yetcites [11] Roenneberg, 2012, Social jetlag and obesity, Curr Biol source
- Not checked yetcites [12] Merikanto, 2013, Associations of chronotype and sleep with cardiovascular diseases and type 2 diabetes, Chronobiol Int source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“The CSM has both high internal consistency (Cronbach ␣ Ͼ 0.80) and test-retest reliability (r Ͼ 0.88) (25).”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Chronotype
What the sources say
- Not checked yetcites [25] Di Milia, 2013, Reviewing the psychometric properties of contemporary circadian typology measures, Chronobiol Int source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“This instrument has high reliability (33) and convergent validity with several objective measures of physical activity and fitness, including maximal oxygen uptake (34) and body mass index (BMI) (35).”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Health behaviors
What the sources say
- Not checked yetcites [33] Ainsworth, 1993, Accuracy of the College Alumnus Physical Activity Questionnaire, J Clin Epidemiol source
- Not checked yetcites [34] Nowak, 2010, Paffenbarger Physical Activity Questionnaire as an additional tool in clinical assessment of patients with coronary artery disease treated with angioplasty, Kardiol Pol
- Not checked yetcites [35] Choo, 2010, Longitudinal relationship between physical activity and cardiometabolic factors in overweight and obese adults, Eur J Appl Physiol source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“SJL has been linked to measures of adiposity (11,15,16), heart rate (16,17), and higher cortisol levels in healthy individuals (16) and to higher glycated hemoglobin levels in patients with type 2 diabetes (18).”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Abstract
What the sources say
- Not checked yetcites [11] Roenneberg, 2012, Social jetlag and obesity, Curr Biol source
- Not checked yetcites [15] Parsons, 2015, Social jetlag, obesity and metabolic disorder: investigation in a cohort study, Int J Obes (Lond) source
- Not checked yetcites [16] Rutters, 2014, Is social jetlag associated with an adverse endocrine, behavioral, and cardiovascular risk profile?, J Biol Rhythms source
- Not checked yetcites [17] Kantermann, 2013, Atherosclerotic risk and social jetlag in rotating shift-workers: First evidence from a pilot study, Work source
- Not checked yetcites [18] Reutrakul, 2013, Chronotype is independently associated with glycemic control in type 2 diabetes, Diabetes Care source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“The Paffenbarger questionnaire is predictive of health conditions that are related to physical activity, including myocardial infarction (36), and total cholesterol and fasting blood glucose (35).”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Health behaviors
What the sources say
- Not checked yetcites [36] Chomistek, 2011, Vigorous physical activity, mediating biomarkers, and risk of myocardial infarction, Med Sci Sports Exerc source
- Not checked yetcites [35] Choo, 2010, Longitudinal relationship between physical activity and cardiometabolic factors in overweight and obese adults, Eur J Appl Physiol source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“This instrument estimates customary intake of diverse nutrients and food groups, with item content developed from the NHANES 1999 -2002 dietary recall data (37,38).”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Health behaviors
What the sources say
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“The PSQI has high internal consistency (Cronbach ␣ ϭ 0.83) and test-retest reliability (r ϭ 0.85) (27).”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Sleep and SJL
What the sources say
- Not checked yetcites [27] Buysse, 1989, The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research, Psychiatry Res source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“The CESD has high internal consistency (Cronbach ␣ ؍ 0.87) (40).”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Depressive symptomatology
What the sources say
- Not checked yetcites [40] Radloff, 1977, The CES-D Scale: A Self-Report Depression Scale for Research in the General Population, Appl Psychol Meas source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Taken together, a disruption in the circadian system triggered by SJL could dysregulate the temporal organization of both central and peripheral rhythms and, in turn, promote metabolic abnormalities.”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“At the molecular level, the central clock (in the suprachiasmatic nucleus) and peripheral oscillators throughout the body comprise a self-sustaining network of transcriptional-translational feedback loops that drive 24-hour expression patterns of core clock genes (47).”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Discussion
What the sources say
- Not checked yetcites [47] Lowrey, 2004, Mammalian circadian biology: elucidating genome-wide levels of temporal organization, Annu Rev Genomics Hum Genet source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Thus, our findings suggest that SJL heightens metabolic risk through a misalignment in circadian rhythms rather than by sleep disturbances per se.”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“the HOMA-IR index is a steadystate measure of baseline insulin and glucose function”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Discussion
What the sources say
- Not checked yetcites [42] Wallace, 2004, Use and abuse of HOMA modeling, Diabetes Care source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Objective measures of circadian phase were unavailable in this sample, and it is unclear whether the individuals with SJL and/or self-reported evening chronotypes differ in their biological circadian phase.”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Discussion
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Given that hemodynamic and metabolic factors show circadian rhythms and that individuals vary in the timing of these rhythms, it is possible that our method of collecting samples within the same morning time frame across all participants (ie, irrespective of chronotype) may have led to an underestimation of variability in cardiometabolic risk factors and thus the effects of chronotype.”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Discussion
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Rests on an assumption: Hemodynamic and metabolic factors show circadian rhythms and individuals vary in the timing of these rhythms.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Lastly, the cross-sectional design of the current study precludes causal inferences and warrants future prospective studies to extend the present findings.”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Discussion
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
In the paper
“postprandial, dynamic measures such as the oral glucose tolerance test quantify the dynamic interplay of insulin sensitivity and -cell insulin secretion (42).”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Discussion
What the sources say
- Not checked yetcites [42] Wallace, 2004, Use and abuse of HOMA modeling, Diabetes Care source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Our results, along with other recent reports, suggest that a misalignment of the biological and socially influenced sleep timing is an additional factor contributing to risk for developing obesity, type 2 diabetes, and atherosclerotic cardiovascular disease and highlight the potential for sleep and circadian-focused interventions in preventative health care.”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Discussion
Tests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“The use of actigraphy to quantify SJL is a strength of the current study.”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Discussion
Strength:plain· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it.
- Rests on an assumption: Actigraphy-derived sleep patterns are not influenced by retrospective reporting bias.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“In addition, the current study quantified average caloric intake and energy expenditure but did not examine the timing of these activities.”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Discussion
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“The timing of meals serves as a behavioral zeitgeber that can entrain peripheral clocks (51).”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Discussion
What the sources say
- Not checked yetcites [51] Buhr, 2013, Molecular components of the mammalian circadian clock source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“Emerging evidence from both rodent and human studies suggests that food consumption during habitual sleep or rest times (ie, evenings in humans) is associated with greater risk for obesity (49,50)”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Discussion
What the sources say
Strength:hedged· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“There is evidence that both fasting and postprandial glucose measures are predictive of type 2 diabetes, and these may represent two distinct risk factors that may contribute to diabetes via different physiological mechanisms (43).”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Discussion
What the sources say
- Not checked yetcites [43] Meyer, 2006, Different mechanisms for impaired fasting glucose and impaired postprandial glucose tolerance in humans, Diabetes Care source
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“Regions throughout the brain have autonomous circadian oscillators that re-entrain at different rates when they are isolated and then re-exposed to light cues (48).”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Discussion
What the sources say
- Not checked yetcites [48] Abe, 2002, Circadian rhythms in isolated brain regions, J Neurosci source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“Previous reports have also linked other sleep disorders, such as sleep apnea, with poor health outcomes (46).”
§ Social Jetlag, Chronotype, and Cardiometabolic Risk > Discussion
What the sources say
- Not checked yetcites [46] Troxel, 2010, Sleep symptoms predict the development of the metabolic syndrome, Sleep source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
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”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Evening chronotype has also been related to lower HDL-cholesterol concentrations (118).”
From Chronotype: Implications for Epidemiologic Studies on Chrono-Nutrition and Cardiometabolic Health (2019) · cites this paper as [118]
Self-check
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
MajorThe 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.
“only 6% (n ϭ 28) of the current sample experienced SJL of 1 hour or more.”
“| | <60 min | >60 min | F (1420) | P Value | 2 | | n | 326 | 111 | | | |”
Model 1 HDL association is described as significant
MinorThe 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.
“greater SJL associated positively with triglycerides, fasting insulin, insulin resistance, waist circumference, and BMI, and negatively with HDL-cholesterol (P Ͻ .05).”
“| HDL, mg/dL | Ϫ0.08 | .069 | ؊0.09 | .036 | ؊0.09 | .043 | ؊0.083 | .047 |”
Alcohol-HDL association has opposite directions
MinorThe discussion says greater alcohol consumption was associated with lower HDL cholesterol, whereas Table 3 reports a positive HDL coefficient for alcohol (.24**).
“greater alcohol consumption, with higher glucose and lower HDLcholesterol;”
“| Alcohol | Ϫ0.03 | .24** | Ϫ0.03 | Ϫ0.01 | Ϫ0.02 | Ϫ0.02 |”
Citations
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Items 401–445 of 445
Шокиров, Ш., Sirojovich, T. D., & Абзалова, М. (2024) · MedicineProblems uz-Topical Issues of Medical Sciences · doi:10.47390/3030-3133v1i2y2023n07
Persönlichkeitsprozesse und Schlaf: Überblick und Leitmotiv für eine Forschungsagenda
Duggan, K. A., & Križan, Z. (2024) · Springer eBooks · doi:10.1007/978-3-031-49766-7_12
Gestasyonel Diyabeti Olan ve Olmayan Gebelerin Sosyal Jetlag ve Beslenme Durumunun İncelenmesi
Çatar, D., & Bayram, S. (2024) · Kahramanmaraş Sütçü İmam Üniversitesi Tıp Fakültesi Dergisi · doi:10.17517/ksutfd.1309909
Chronobiologie und circadiane Gesundheit
Roenneberg, T., Foster, F., & Klerman, E. B. (2024) · Elsevier eBooks · doi:10.1016/b978-3-437-21054-9.00001-x
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“Moreover, circadian misalignment has emerged as a strong predictor of metabolic problems (33,34,63, 69, 70).”
Zitser, J., Cotton-Clay, A., Easwar, V., Kinsolving, A., Kahn, P., & Kushida, C. A. (2024) · Journal of Sleep Medicine · doi:10.13078/jsm.240020
Bernardino, V. M. M., de Lima, L. C. M., Neves, É. T. B., Perazzo, M. F., Paiva, S. M., & Granville‐Garcia, A. F. (2025) · Brazilian Oral Research · doi:10.1590/1807-3107bor-2025.vol39.005
Elevated cardiometabolic risk markers associated with shift work and evening chronotypePreprint
Wanigasinghe, A. S., Perera, D. S., & Rathnayake, K. M. (2025) · Research Square · doi:10.21203/rs.3.rs-5826797/v1
Nelson, R. J. (2025) · Oxford University Press eBooks · doi:10.1093/9780197639979.003.0007
Sleep characteristics in association with risk of sporadic anovulation among eumenorrheic women
Freeman, J. R., Whitcomb, B. W., Bertone‐Johnson, E. R., O'Brien, L. M., Dunietz, G. L., Purdue‐Smithe, A., Kim, K., Silver, R. M., Schisterman, E. F., & Mumford, S. L. (2025) · Chronobiology International · doi:10.1080/07420528.2025.2481165
“Poor sleep remains a public health challenge with many dimensions of health impacted by sleep patterns (Evans and Davidson 2013; Lim et al. 2023; Medic et al. 2017; Nagai et al. 2010; Ruger and Scheer 2009; Wong et al. 2015).”
Morais, N. B. A. S., Silva, C. M., Ramos, M. F., Teixeira, G. P., & Crispim, C. A. (2025) · Chronobiology International · doi:10.1080/07420528.2025.2534007
“…nutritional and metabolic disorders such as obesity (Balieiro et al. 2014; Brum et al. 2020), insulin resistance, type 2 diabetes (Shan et al. 2018; Wong et al. 2015), dyslipidemias (Alefishat and Abu Farha 2015; da-Silva et al. 2019) and metabolic syndrome (Kawabe et al. 2014; Lim et al. 2018).”
Social time pressure, sleep, and eating rhythms—lessons from a pandemic “natural experiment”
Arab, A., & Scheer, F. A. J. L. (2025) · SLEEP · doi:10.1093/sleep/zsaf304
“This matters because higher SJL has been associated with cardiometabolic risk [13, 14].”
Is chronotype a risk factor for nocturnal non-dipping hypertension in children?
Işık, G., & Abanoz, E. (2025) · Trends in Pediatrics · doi:10.59213/tp.2025.189
“There are studies reporting that chronotype affects cardiovascular health by modulating physiological processes such as heart rate and blood pressure, and therefore, may predispose the individual to CVD. 17-19 In our study, we expected to see a decrease in physiologic BP drops in evening-type hypertensive children com…”
Cross-Sectional Analysis of Sleep Quality and Vascular Health in Shift- and Day-Working Nurses
Saharov, G., Salti, B., Bareya, M., Keren‐Politansky, A., Nadir, Y., & Shochat, T. (2025) · Clocks & Sleep · doi:10.3390/clockssleep7040058
“Mistimed sleep has also been shown to increase cardiometabolic risk factors independently of sleep disturbance [7].”
Social jetlag, circadian disruption, and cardiometabolic disease risk
Malone, S. K., Mendoza, M. A., & Patterson, F. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-13954-3.00040-1
Arora, N., Bhatta, L., Skarpsno, E. S., Dalen, H., Åsvold, B. O., Brumpton, B. M., Richmond, R. C., & Strand, L. B. (2024) · Figshare · doi:10.6084/m9.figshare.24257634
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Majumdar, P., & Sahu, S. (2026) · Design science and innovation · doi:10.1007/978-981-96-4186-4_48
Association Between Social Jetlag and Low Back Pain in Brazilian Women
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“Some studies have already pointed to an association between SJL and an increased risk of cardiovascular disease [15], obesity, weight gain, and metabolic disorders [27,28].”
A Comprehensive Review of Social Jetlag in Air Traffic Controllers
Jeon, J.-D. (2025) · Journal of the Korean Society for Aviation and Aeronautics · doi:10.12985/ksaa.2025.33.4.075
Chen, L., Shi, B., Fan, C., Zou, Y., Wang, Y., Pang, S., Wang, S., & Wu, X. (2026) · European journal of medical research · doi:10.1186/s40001-026-04274-3
Baron, P. (2023) · theses.fr (ABES) · doi:10.70675/d24294fdz30a1z42eezae8ez00ac4cfb8be8
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“Furthermore, circadian misalignment, like that which occurs in night shift workers, throws metabolic homeostasis off balance and is linked to negative glucose and lipid pro fi les (34).”
Baka, Ł., Kapica, Ł., Sienkiewicz‐Jarosz, H., Bugajska, J., Bańkowska, M., Neugebauer, K., Pietras, K., & Świtaj, P. (2026) · Chronobiology International · doi:10.1080/07420528.2026.2663950
“…such misalignment is associated with a broad spectrum of health problems, including neurodevelopmental, psychiatric, and neurodegenerative disorders, as well as cardiovascular diseases and various forms of cancer (Germain and Kupfer 2008; Wong et al. 2015; Logan and McClung 2019; Zou et al. 2022).”
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“Available evidence suggests that SJL may influence metabolic regulation through hepatic, microbial, and inflammatory pathways, rather than directly contributing to weight gain (Wong et al. 2015; Savvidis et al. 2025; Zhang et al. 2025).”
Ahmad, A. M., Kazi, F., Arif, S., & Krishnaswamy, G. (2026) · SN Comprehensive Clinical Medicine · doi:10.1007/s42399-026-02442-4
Sleep and Activity Patterns in Depression From Wearable Data: Unsupervised Clustering Study
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“This variability to meet social and work demands can negatively impact circadian rhythms, increasing the risk of poor mental and physical health [49,50].”
Sleep Advocacy: A Primer for Practitioners and Researchers
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“Prolonged sJl has been linked to increased consumption of alcohol, caffeine and nicotine, elevated body mass index (BMi), and greater psychiatric symptomatology (Roenneberg et al., 2012; Wittmann et al., 2006; Wong et al., 2015).”
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Sleep irregularity is associated with reduced wellbeing in patients with cirrhosis
Buckholz, A. P., Mallick, H., Thuluvath, A., Blocker, O., McSteen, B., Rosenblatt, R. E., Verna, E. C., Kan, E. C.-C., Krieger, A. C., & Brown, R. S. (2026) · JHEP Reports · doi:10.1016/j.jhepr.2026.101990
“29 Together, these data suggest that circadian-based approaches may represent a promising and underutilized therapeutic avenue for sleep disturbance in cirrhosis.”
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Wang, X., Cao, Y., Sun, Z., Liang, S., Sun, C., Gao, J., Zhang, Z., & Yang, W. (2026) · Sleep Health · doi:10.1016/j.sleh.2026.09.008
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
- Publisher
- The Endocrine Society
- Published
- 2015-12-01
- Volume
- 100
- Issue
- 12
- Pages
- 4612-4620
- ISSN
- 0021-972X (ISSN-L)
- 1945-7197
- PMC
- PMC4667156
- OpenAlex
- W2180967840
- Semantic Scholar
- 0c3ad84136306916091daa5d40ba62f6fe963544
- 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
- hybrid
- doi.org
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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