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.
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.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 43 cited sources checked · 0 supported · 0 flagged
- Findingown data
Evening chronotype was associated with less physical activity.
“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).”
Quote in the paperNot a substantial claim - Findingown data
Only 4.9% (n = 22) of participants met a conventional threshold for evening chronotype (CSM score <= 26).
“only 4.9% (n ϭ 22) of the participants met a conventional threshold for evening chronotype (CSM score Յ 26) (26).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [26] Natale, 2001, Additional validity evidence for the composite scale of morningness, Pers Individ Dif source
Not checked in the free run.
- Findingown data
In model 1, evening chronotype was related to lower HDL cholesterol.
“evening chronotype was related to higher triglycerides and lower HDL cholesterol (P Ͻ .05)”
Quote in the paperSubstantial claim - Findingown data
Greater social jetlag is associated with higher triglycerides after adjustment for demographics, sleep characteristics, health behaviors, and depressive symptomatology.
“greater SJL associated positively with triglycerides, fasting insulin, insulin resistance, waist circumference, and BMI, and negatively with HDL-cholesterol (P Ͻ .05).”
Quote in the paperSubstantial claim- Rests on an assumption: Actigraphy-derived sleep intervals accurately reflect participants' actual sleep timing.
- Findingown data
Evening chronotype was associated with later average wake time.
“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).”
Quote in the paperNot a substantial claim
- Findingown data
Evening chronotype was associated with later average bed time.
“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).”
Quote in the paperNot a substantial claim - Findingown data
In model 1, evening chronotype was related to higher triglycerides.
“evening chronotype was related to higher triglycerides and lower HDL cholesterol (P Ͻ .05)”
Quote in the paperSubstantial claim - Findingown data
Greater social jetlag is associated with higher fasting plasma insulin after adjustment for demographics, sleep characteristics, health behaviors, and depressive symptomatology.
“greater SJL associated positively with triglycerides, fasting insulin, insulin resistance, waist circumference, and BMI, and negatively with HDL-cholesterol (P Ͻ .05).”
Quote in the paperSubstantial claim- Rests on an assumption: Actigraphy-derived sleep intervals accurately reflect participants' actual sleep timing.
- Findingown data
Evening chronotype was associated with poorer sleep quality.
“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).”
Quote in the paperNot a substantial claim - Findingown data
Greater eveningness correlated with social jetlag in the current sample (r = 0.13; P = .007).
“Greater eveningness correlated moderately with SJL in the current sample (r ϭ 0.13; P ϭ .007).”
Quote in the paperNot a substantial claim- Rests on an assumption: Actigraphy-derived sleep intervals accurately reflect participants' actual sleep timing.
- Findingown data
Social jetlag was associated with lower physical activity.
“SJL was associated with fewer years of schooling, greater sleep debt, poorer sleep quality, and lower physical activity (P Ͻ .05).”
Quote in the paperNot a substantial claim- Rests on an assumption: Actigraphy-derived sleep intervals accurately reflect participants' actual sleep timing.
- Findingown data
Evening chronotype was associated with greater sleep debt.
“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).”
Quote in the paperNot a substantial claim - Findingown data
Evening chronotype was associated with lower family income.
“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).”
Quote in the paperNot a substantial claim - Findingown data
Greater social jetlag is associated with higher insulin resistance after adjustment for demographics, sleep characteristics, health behaviors, and depressive symptomatology.
“greater SJL associated positively with triglycerides, fasting insulin, insulin resistance, waist circumference, and BMI, and negatively with HDL-cholesterol (P Ͻ .05).”
Quote in the paperSubstantial claim- Rests on an assumption: Actigraphy-derived sleep intervals accurately reflect participants' actual sleep timing.
- Findingown data
The mean social jetlag in the current sample was 44 minutes (SD 32 min).
“the mean SJL was only 44 minutes (SD, 32 min) in the current sample.”
Quote in the paperSubstantial claim- Rests on an assumption: Actigraphy-derived sleep intervals accurately reflect participants' actual sleep timing.
- Findingown data
Social jetlag was associated with greater sleep debt.
“SJL was associated with fewer years of schooling, greater sleep debt, poorer sleep quality, and lower physical activity (P Ͻ .05).”
Quote in the paperNot a substantial claim- Rests on an assumption: Actigraphy-derived sleep intervals accurately reflect participants' actual sleep timing.
- Findingown data
Evening chronotype is associated with lower HDL cholesterol after adjustment for covariates.
“Evening chronotype associated with lower high-density lipoprotein-cholesterol after adjustment for covariates.”
- Also stated in: § Metabolic and vascular risk factors · hedged
“with HDL-cholesterol marginally significant (P ϭ .047)”
Quote in the paperSubstantial claim - Also stated in: § Metabolic and vascular risk factors · hedged
- Findingown data
Social jetlag was associated with fewer years of schooling.
“SJL was associated with fewer years of schooling, greater sleep debt, poorer sleep quality, and lower physical activity (P Ͻ .05).”
Quote in the paperNot a substantial claim- Rests on an assumption: Actigraphy-derived sleep intervals accurately reflect participants' actual sleep timing.
- Findingown data
Evening chronotype was associated with greater depressive symptomology.
“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).”
Quote in the paperNot a substantial claim - Findingown data
After further adjustment for health behaviors and depressive symptomatology, the association between evening chronotype and triglycerides was not statistically significant.
“Further controlling for health behaviors and depressive symptomatology (model 2) rendered the association of chronotype with triglycerides nonsignificant (P Ͼ .05)”
Quote in the paperSubstantial claim - Findingown data
Only 6% (n = 28) of the current sample experienced social jetlag of 1 hour or more.
“only 6% (n ϭ 28) of the current sample experienced SJL of 1 hour or more.”
Quote in the paperSubstantial claim- Rests on an assumption: Actigraphy-derived sleep intervals accurately reflect participants' actual sleep timing.
- Findingown data
Greater social jetlag is associated with lower HDL cholesterol after adjustment for demographics, sleep characteristics, health behaviors, and depressive symptomatology.
“greater SJL associated positively with triglycerides, fasting insulin, insulin resistance, waist circumference, and BMI, and negatively with HDL-cholesterol (P Ͻ .05).”
Quote in the paperSubstantial claim- Rests on an assumption: Actigraphy-derived sleep intervals accurately reflect participants' actual sleep timing.
- Findingown data
Most participants (84.8%) had a later midsleep on free days compared to workdays.
“most participants (84.8%) had a later midsleep on free days compared to workdays”
Quote in the paperNot a substantial claim- Rests on an assumption: Actigraphy-derived sleep intervals accurately reflect participants' actual sleep timing.
- Findingown data
Greater social jetlag is associated with higher waist circumference after adjustment for demographics, sleep characteristics, health behaviors, and depressive symptomatology.
“greater SJL associated positively with triglycerides, fasting insulin, insulin resistance, waist circumference, and BMI, and negatively with HDL-cholesterol (P Ͻ .05).”
Quote in the paperSubstantial claim- Rests on an assumption: Actigraphy-derived sleep intervals accurately reflect participants' actual sleep timing.
- Findingown data
Greater social jetlag is associated with higher BMI after adjustment for demographics, sleep characteristics, health behaviors, and depressive symptomatology.
“greater SJL associated positively with triglycerides, fasting insulin, insulin resistance, waist circumference, and BMI, and negatively with HDL-cholesterol (P Ͻ .05).”
Quote in the paperSubstantial claim- Rests on an assumption: Actigraphy-derived sleep intervals accurately reflect participants' actual sleep timing.
- Findingown data
Social jetlag was associated with poorer sleep quality.
“SJL was associated with fewer years of schooling, greater sleep debt, poorer sleep quality, and lower physical activity (P Ͻ .05).”
Quote in the paperNot a substantial claim- Rests on an assumption: Actigraphy-derived sleep intervals accurately reflect participants' actual sleep timing.
- Findingown data
Social jetlag was related to greater insulin concentrations.
“We found that SJL was specifically related to greater insulin concentrations, insulin resistance, higher levels of triglycerides, and greater waist circumference and BMI.”
Quote in the paperSubstantial claim - Findingown data
Sleep efficiency was not correlated with social jetlag (P > .05).
“Sleep efficiency was not correlated with SJL (P Ͼ .05)”
Quote in the paperSubstantial claim - Findingown data
Sleep debt, quantified as the difference in sleep duration between workdays and free days, was moderately correlated with social jetlag (r = 0.44).
“Sleep debt, quantified here as the difference in sleep duration between workdays and free days, was moderately correlated with SJL (r ϭ 0.44).”
Quote in the paperNot a substantial claim - Findingown data
Social jetlag was not associated with heart rate.
“In contrast to previous reports (16,17), we did not find SJL associated with heart rate.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [16] Rutters, 2014, Is social jetlag associated with an adverse endocrine, behavioral, and cardiovascular risk profile?, J Biol Rhythms source
Not checked in the free run.
- cites [17] Kantermann, 2013, Atherosclerotic risk and social jetlag in rotating shift-workers: First evidence from a pilot study, Work source
Not checked in the free run.
- Findingown data
Social jetlag was related to higher levels of triglycerides.
“We found that SJL was specifically related to greater insulin concentrations, insulin resistance, higher levels of triglycerides, and greater waist circumference and BMI.”
Quote in the paperSubstantial claim - Findingown data
Social jetlag was associated with lower HDL cholesterol.
“| SJL | .11* | Ϫ0.09* | .11* | .11* | .15** | .17** |”
Quote in the paperSubstantial claim - Findingown data
Controlling for variability in health behaviors did not alter the observed effects of social jetlag on the dependent variables.
“Controlling for variability in these health behaviors did not alter observed effects of SJL on the dependent variables”
Quote in the paperSubstantial claim- Rests on an assumption: Actigraphy-derived sleep intervals accurately reflect participants' actual sleep timing.
- Findingown data
Social jetlag was related to greater insulin resistance (HOMA-IR).
“We found that SJL was specifically related to greater insulin concentrations, insulin resistance, higher levels of triglycerides, and greater waist circumference and BMI.”
Quote in the paperSubstantial claim - Findingown data
Social jetlag was related to greater BMI.
“We found that SJL was specifically related to greater insulin concentrations, insulin resistance, higher levels of triglycerides, and greater waist circumference and BMI.”
Quote in the paperSubstantial claim - Findingcitation
Sleep debt in the current sample was associated with various metabolic risk factors, including insulin resistance and measures of adiposity (P < .05).
“Consistent with previous reports (1,3), sleep debt in the current sample was associated with various metabolic risk factors, including insulin resistance and measures of adiposity (P Ͻ .05).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [1] Hall, 2008, Self-reported sleep duration is associated with the metabolic syndrome in midlife adults, Sleep source
Not checked in the free run.
- cites [3] Buxton, 2010, Short and long sleep are positively associated with obesity, diabetes, hypertension, and cardiovascular disease among adults in the United States, Soc Sci Med source
Not checked in the free run.
- Findingown data
Social jetlag was related to greater waist circumference.
“We found that SJL was specifically related to greater insulin concentrations, insulin resistance, higher levels of triglycerides, and greater waist circumference and BMI.”
Quote in the paperSubstantial claim - Findingown data
Calories consumed were associated with higher systolic blood pressure.
“calories consumed, with higher systolic BP (data not shown).”
Quote in the paperNot a substantial claim - Findingown data
Smoking was associated with higher total cholesterol.
“smoking, with higher total cholesterol”
Quote in the paperNot a substantial claim - Findingown data
Controlling for sleep efficiency did not attenuate any of the observed social jetlag effects.
“and controlling for this variable did not attenuate any of the observed SJL effects.”
Quote in the paperSubstantial claim - Findingown data
Physical activity was associated with all dependent variables.
“Physical activity was associated with all dependent variables”
Quote in the paperSubstantial claim - Interpretationown data
A misalignment of sleep timing is associated with metabolic risk factors that predispose to diabetes and atherosclerotic cardiovascular disease.
“Our findings suggest that a misalignment of sleep timing is associated with metabolic risk factors that predispose to diabetes and atherosclerotic cardiovascular disease.”
Quote in the paperSubstantial claim- Rests on an assumption: Actigraphy-derived sleep intervals accurately reflect participants' actual sleep timing.
- Premisecitation
An association of social jetlag with the metabolic syndrome and elevated C-reactive protein eroded to nonsignificance when controlling for either socioeconomic status or cigarette smoking.
“an association of SJL with the presence of the metabolic syndrome and with elevated levels of the inflammatory marker Creactive protein in one recent study eroded to nonsignificance when controlling for either socioeconomic status or cigarette smoking (15).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [15] Parsons, 2015, Social jetlag, obesity and metabolic disorder: investigation in a cohort study, Int J Obes (Lond) source
Not checked in the free run.
- Interpretationcitation
The relatively later awakening time on free days may perpetuate a cycle of circadian misalignment by delaying circadian timing and interfering with entrainment to workday schedules.
“The relatively later awakening time on free days may be perpetuating a cycle of circadian misalignment because it delays circadian timing, thus interfering with entrainment to workday schedules (45).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [45] Taylor, 2008, Sleeping-in on the weekend delays circadian phase and increases sleepiness the following week, Sleep Biol Rhythms source
Not checked in the free run.
- Interpretationown data
The report extends findings from acute circadian misalignment paradigms and prospective shift-work studies by demonstrating a link between social jetlag and metabolic abnormalities.
“Our report extends findings from both acute circadian misalignment paradigms and prospective shift-work studies by demonstrating a link between SJL and metabolic abnormalities (8,11).”
Quote in the paperSubstantial claim0 of 2 sources checked - Interpretationown data
The associations between social jetlag and metabolic risk factors are mediated by mechanisms other than health behaviors.
“suggesting that these associations are mediated by other mechanisms.”
Quote in the paperSubstantial claim- Rests on an assumption: Actigraphy-derived sleep intervals accurately reflect participants' actual sleep timing.
- Interpretationreasoning
The associations of social jetlag with metabolic risk factors seen in this sample may underestimate those in the general population.
“It is therefore possible that the associations of SJL with metabolic risk factors seen here may underestimate those in the general population, warranting replication across a wider range of SJL.”
Quote in the paperSubstantial claim- Rests on an assumption: Actigraphy-derived sleep intervals accurately reflect participants' actual sleep timing.
- Interpretationown data
The current study presents the first evidence that behaviorally quantified social jetlag is related to a cluster of metabolic risk factors in midlife adults.
“In summary, the current study presents the first evidence that behaviorally quantified SJL is related to a cluster of metabolic risk factors in midlife adults.”
Quote in the paperSubstantial claim - Interpretationown data
A misalignment of biological and socially influenced sleep timing is an additional factor contributing to risk for developing obesity, type 2 diabetes, and atherosclerotic cardiovascular disease.
“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.”
Quote in the paperSubstantial claim - Study design and conductnone given
Objective measures of circadian phase were unavailable in this sample.
“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.”
Quote in the paperSubstantial claim - Premisecitation
Social jetlag may contribute to metabolic risk by desynchronizing the temporal organization of various metabolic processes.
“SJL refers to a mismatch between biological and social timing (14) and may contribute to metabolic risk by desynchronizing the temporal organization of various metabolic processes.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [14] Roenneberg, 2003, Life between clocks: daily temporal patterns of human chronotypes, J Biol Rhythms source
Not checked in the free run.
- Premisecitation
Postprandial hyperglycemia predicts increased risk for cardiovascular disease and all-cause mortality, even among individuals with normal fasting glucose and insulin values.
“Postprandial hyperglycemia predicts increased risk for cardiovascular disease and all-cause mortality, even among individuals with normal fasting glucose and insulin values (44).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [44] Genuth, 2003, Follow-up report on the diagnosis of diabetes mellitus, Diabetes Care source
Not checked in the free run.
- Interpretationown data
The results suggest a direct effect of habitual misalignments in sleep time on various metabolic parameters.
“These results suggest that there is a direct effect of habitual misalignments in sleep time on various metabolic parameters and warrant prospective studies to determine the longterm effects of SJL.”
Quote in the paperSubstantial claim - Interpretationown data
This is the first study to show social jetlag associated with numerous metabolic risk factors in community-dwelling, midlife adults, independently of poor sleep characteristics and health behaviors.
“To our knowledge, this is the first study to show SJL associated with numerous metabolic risk factors in community-dwelling, midlife adults, independently of poor sleep characteristics and health behaviors.”
Quote in the paperSubstantial claim- Rests on an assumption: Actigraphy-derived sleep intervals accurately reflect participants' actual sleep timing.
- Interpretationown data
The low number of evening types in the current sample may have contributed to the null results.
“It is possible that the low number of evening types in the current sample contributed to the null results.”
Quote in the paperSubstantial claim - Study design and conductreasoning
Because shift workers were excluded from the study, shift work sleep disorder was not a confounding variable.
“Given that shift workers were excluded from the study, the presence of shift work sleep disorder was not a confounding variable here.”
Quote in the paperNot a substantial claim
- Classified as probably not a substantial claim. 24
- May combine two claims. 17
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataEvening chronotype was associated with younger age.
“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).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown data15.2% of participants had an earlier midsleep on free days relative to workdays.
“68 participants (15.2%) had an earlier midsleep on free days relative to workdays”
Quote in the paperNot a substantial claim- Rests on an assumption: Actigraphy-derived sleep intervals accurately reflect participants' actual sleep timing.
May combine two claims.
Findingown dataNeither chronotype nor social jetlag was significantly related to resting heart rate or blood pressure.
“neither chronotype nor SJL was related significantly to resting heart rate or BP (P Ͼ .05).”
Quote in the paperNot a substantial claim- Rests on an assumption: Actigraphy-derived sleep intervals accurately reflect participants' actual sleep timing.
May combine two claims.
FindingcitationGreater social jetlag is linked to earlier wake times and shorter sleep durations on workdays.
“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).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [14] Roenneberg, 2003, Life between clocks: daily temporal patterns of human chronotypes, J Biol Rhythms source
Not checked in the free run.
May combine two claims.
Findingown dataGreater alcohol consumption was associated with higher glucose and lower HDL cholesterol.
“greater alcohol consumption, with higher glucose and lower HDLcholesterol”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationGreater social jetlag is linked to later wake times and longer sleep duration on free days.
“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).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [14] Roenneberg, 2003, Life between clocks: daily temporal patterns of human chronotypes, J Biol Rhythms source
Not checked in the free run.
May combine two claims.
PremisecitationHealthy 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, reversed daily cortisol rhythm, and postprandial glucose levels in the prediabetic range.
“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).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [8] Scheer, 2009, Adverse metabolic and cardiovascular consequences of circadian misalignment, Proc Natl Acad Sci USA source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationChronotype quantified by the CSM has been validated with respect to variation in the diurnal rhythms of body temperature and subjective alertness.
“Chronotype quantified by the CSM has been validated with respect to variation in the diurnal rhythms of body temperature and subjective alertness (26).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [26] Natale, 2001, Additional validity evidence for the composite scale of morningness, Pers Individ Dif source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationA global PSQI score > 5 indicates poor sleep quality, with a diagnostic sensitivity of 89.6% and specificity of 86.5%, distinguishing between healthy controls and patients reporting sleep complaints.
“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).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [27] Buysse, 1989, The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research, Psychiatry Res source
Not checked in the free run.
May combine two claims.
PremisecitationEvening types are more likely to be depressed, overweight, diabetic, and hypertensive compared to morning types.
“Evening types are also more likely to be depressed (10), overweight (11), diabetic, and hypertensive (12), in comparison to morning types.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [10] Levandovski, 2011, Depression scores associate with chronotype and social jetlag in a rural population, Chronobiol Int source
Not checked in the free run.
- cites [11] Roenneberg, 2012, Social jetlag and obesity, Curr Biol source
Not checked in the free run.
- cites [12] Merikanto, 2013, Associations of chronotype and sleep with cardiovascular diseases and type 2 diabetes, Chronobiol Int source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationThe Composite Morningness Scale (CSM) has high internal consistency (Cronbach alpha > 0.80) and test-retest reliability (r > 0.88).
“The CSM has both high internal consistency (Cronbach ␣ Ͼ 0.80) and test-retest reliability (r Ͼ 0.88) (25).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [25] Di Milia, 2013, Reviewing the psychometric properties of contemporary circadian typology measures, Chronobiol Int source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationThe Paffenbarger Physical Activity Questionnaire has high reliability and convergent validity with several objective measures of physical activity and fitness, including maximal oxygen uptake and body mass index.
“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).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [33] Ainsworth, 1993, Accuracy of the College Alumnus Physical Activity Questionnaire, J Clin Epidemiol source
Not checked in the free run.
- cites [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 in the free run.
- cites [35] Choo, 2010, Longitudinal relationship between physical activity and cardiometabolic factors in overweight and obese adults, Eur J Appl Physiol source
Not checked in the free run.
May combine two claims.
PremisecitationSocial jetlag has been linked to measures of adiposity, heart rate, and higher cortisol levels in healthy individuals, and to higher glycated hemoglobin levels in patients with type 2 diabetes.
“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).”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [11] Roenneberg, 2012, Social jetlag and obesity, Curr Biol source
Not checked in the free run.
- cites [15] Parsons, 2015, Social jetlag, obesity and metabolic disorder: investigation in a cohort study, Int J Obes (Lond) source
Not checked in the free run.
- cites [16] Rutters, 2014, Is social jetlag associated with an adverse endocrine, behavioral, and cardiovascular risk profile?, J Biol Rhythms source
Not checked in the free run.
- cites [17] Kantermann, 2013, Atherosclerotic risk and social jetlag in rotating shift-workers: First evidence from a pilot study, Work source
Not checked in the free run.
- cites [18] Reutrakul, 2013, Chronotype is independently associated with glycemic control in type 2 diabetes, Diabetes Care source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationThe Paffenbarger questionnaire is predictive of health conditions related to physical activity, including myocardial infarction, and total cholesterol and fasting blood glucose.
“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).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [36] Chomistek, 2011, Vigorous physical activity, mediating biomarkers, and risk of myocardial infarction, Med Sci Sports Exerc source
Not checked in the free run.
- cites [35] Choo, 2010, Longitudinal relationship between physical activity and cardiometabolic factors in overweight and obese adults, Eur J Appl Physiol source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationThe Block Food Frequency Questionnaire estimates customary intake of diverse nutrients and food groups, with item content developed from NHANES 1999-2002 dietary recall data.
“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).”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationThe Pittsburgh Sleep Quality Index (PSQI) has high internal consistency (Cronbach alpha = 0.83) and test-retest reliability (r = 0.85).
“The PSQI has high internal consistency (Cronbach ␣ ϭ 0.83) and test-retest reliability (r ϭ 0.85) (27).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [27] Buysse, 1989, The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research, Psychiatry Res source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe Center for Epidemiological Studies-Depression (CESD) scale has high internal consistency (Cronbach alpha = 0.87).
“The CESD has high internal consistency (Cronbach ␣ ؍ 0.87) (40).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [40] Radloff, 1977, The CES-D Scale: A Self-Report Depression Scale for Research in the General Population, Appl Psychol Meas source
Not checked in the free run.
May combine two claims.
InterpretationreasoningA disruption in the circadian system triggered by social jetlag could dysregulate the temporal organization of both central and peripheral rhythms and promote metabolic abnormalities.
“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.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe central clock and peripheral oscillators comprise a self-sustaining network of transcriptional-translational feedback loops that drive 24-hour expression patterns of core clock genes.
“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).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [47] Lowrey, 2004, Mammalian circadian biology: elucidating genome-wide levels of temporal organization, Annu Rev Genomics Hum Genet source
Not checked in the free run.
May combine two claims.
Interpretationown dataThe findings suggest that social jetlag heightens metabolic risk through a misalignment in circadian rhythms rather than by sleep disturbances per se.
“Thus, our findings suggest that SJL heightens metabolic risk through a misalignment in circadian rhythms rather than by sleep disturbances per se.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe HOMA-IR index is a steady-state measure of baseline insulin and glucose function.
“the HOMA-IR index is a steadystate measure of baseline insulin and glucose function”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [42] Wallace, 2004, Use and abuse of HOMA modeling, Diabetes Care source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductown dataIt is unclear whether individuals with social jetlag and/or self-reported evening chronotypes differ in their biological circadian phase.
“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.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThe method of collecting samples within the same morning time frame across all participants may have led to an underestimation of variability in cardiometabolic risk factors and thus the effects of chronotype.
“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.”
Quote in the paperNot a substantial claim- Rests on an assumption: Hemodynamic and metabolic factors show circadian rhythms and individuals vary in the timing of these rhythms.
Classified as probably not a substantial claim.
Study design and conductnone givenThe cross-sectional design of the current study precludes causal inferences.
“Lastly, the cross-sectional design of the current study precludes causal inferences and warrants future prospective studies to extend the present findings.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPostprandial dynamic measures such as the oral glucose tolerance test quantify the dynamic interplay of insulin sensitivity and beta-cell insulin secretion.
“postprandial, dynamic measures such as the oral glucose tolerance test quantify the dynamic interplay of insulin sensitivity and -cell insulin secretion (42).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [42] Wallace, 2004, Use and abuse of HOMA modeling, Diabetes Care source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe results highlight the potential for sleep and circadian-focused interventions in preventative health care.
“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.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
Study design and conductreasoningThe use of actigraphy to quantify social jetlag is a strength of the current study.
“The use of actigraphy to quantify SJL is a strength of the current study.”
Quote in the paperNot a substantial claim- Rests on an assumption: Actigraphy-derived sleep patterns are not influenced by retrospective reporting bias.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThe current study quantified average caloric intake and energy expenditure but did not examine the timing of these activities.
“In addition, the current study quantified average caloric intake and energy expenditure but did not examine the timing of these activities.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe timing of meals serves as a behavioral zeitgeber that can entrain peripheral clocks.
“The timing of meals serves as a behavioral zeitgeber that can entrain peripheral clocks (51).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [51] Buhr, 2013, Molecular components of the mammalian circadian clock source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFood consumption during habitual sleep or rest times is associated with greater risk for obesity.
“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)”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationBoth fasting and postprandial glucose measures are predictive of type 2 diabetes, and may represent two distinct risk factors that contribute to diabetes via different physiological mechanisms.
“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).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [43] Meyer, 2006, Different mechanisms for impaired fasting glucose and impaired postprandial glucose tolerance in humans, Diabetes Care source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationRegions throughout the brain have autonomous circadian oscillators that re-entrain at different rates when isolated and re-exposed to light cues.
“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).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [48] Abe, 2002, Circadian rhythms in isolated brain regions, J Neurosci source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPrevious reports have linked other sleep disorders, such as sleep apnea, with poor health outcomes.
“Previous reports have also linked other sleep disorders, such as sleep apnea, with poor health outcomes (46).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [46] Troxel, 2010, Sleep symptoms predict the development of the metabolic syndrome, Sleep source
Not checked in the free run.
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?
Evening chronotype has been related to lower HDL-cholesterol concentrations.
“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 |”
Cites
The CES-D Scale: A Self-Report Depression Scale for Research in the General Population
Radloff, L. S. (1977) · Applied Psychological Measurement · doi:10.1177/014662167700100306 · Cited by 53,267 · see citing works
The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research
Buysse, D. J., Reynolds, C. F., Monk, T. H., Berman, S. R., & Kupfer, D. J. (1989) · Psychiatry Research · doi:10.1016/0165-1781(89)90047-4 · Cited by 35,234 · see citing works
Matthews, D. R., Hosker, J. P., Rudenski, A. S., Naylor, B. A., Treacher, D. F., & Turner, R. C. (1985) · Diabetologia · doi:10.1007/bf00280883 · Cited by 31,502 · see citing works
Toprak, Ö., Kurt, H., Sarı, Y., Şarkış, C., Us, H., & Kırık, A. (2017) · Kidney & Blood Pressure Research · doi:10.1159/000468530 · Cited by 29,769 · see citing works
Use and Abuse of HOMA Modeling
Wallace, T. M., Levy, J. C., & Matthews, D. R. (2004) · Diabetes Care · doi:10.2337/diacare.27.6.1487 · Cited by 5,114 · see citing works
Pickering, T. G., Hall, J. E., Appel, L. J., Falkner, B. E., Graves, J., Hill, M. N., Jones, D. W., Kurtz, T., Sheps, S. G., & Roccella, E. J. (2005) · Circulation · doi:10.1161/01.cir.0000154900.76284.f6 · Cited by 3,985 · see citing works
Two-Process Model of Sleep Regulation
Binder, M. D., Hirokawa, N., & Windhorst, U. (2008) · Springer eBooks · doi:10.1007/978-3-540-29678-2_6166 · Cited by 3,895 · see citing works
Follow-up report on the diagnosis of diabetes mellitus
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus* (2003) · Diabetes Care · doi:10.2337/diacare.26.11.3160 · Cited by 3,784 · see citing works
Global Burden of Cardiovascular Diseases
Yusuf, S., Reddy, S., Ôunpuu, S., & Anand, S. S. (2001) · Circulation · doi:10.1161/hc4601.099487 · Cited by 2,979 · see citing works
Life between Clocks: Daily Temporal Patterns of Human Chronotypes
Roenneberg, T., Wirz-Justice, A., & Merrow, M. (2003) · Journal of Biological Rhythms · doi:10.1177/0748730402239679 · Cited by 2,662 · see citing works
Social Jetlag: Misalignment of Biological and Social Time
Wittmann, M., Dinich, J., Merrow, M., & Roenneberg, T. (2006) · Chronobiology International · doi:10.1080/07420520500545979 · Cited by 2,625 · see citing works
The pathophysiology of cigarette smoking and cardiovascular disease
Ambrose, J. A., & Barua, R. S. (2004) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2003.12.047 · Cited by 2,394 · see citing works
Adverse metabolic and cardiovascular consequences of circadian misalignment
Scheer, F. A. J. L., Hilton, M. F., Mantzoros, C. S., & Shea, S. A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0808180106 · Cited by 2,351 · see citing works
A DATA-BASED APPROACH TO DIET QUESTIONNAIRE DESIGN AND TESTING
Block, G., Hartman, A. M., DRESSER, C. M., Carroll, M. D., Gannon, J. G., & Gardner, L. B. (1986) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a114416 · Cited by 2,150 · see citing works
Cappuccio, F. P., Cooper, D., D'Elia, L., Strazzullo, P., & Miller, M. A. (2011) · European Heart Journal · doi:10.1093/eurheartj/ehr007 · Cited by 2,146 · see citing works
Thompson, P. D., Buchner, D., Piña, I. L., Balady, G. J., Williams, M. A., Marcus, B. H., Berra, K., Blair, S. N., Costa, F., Franklin, B., et al. (2003) · Circulation · doi:10.1161/01.cir.0000075572.40158.77 · Cited by 2,132 · see citing works
Pickering, T. G., Hall, J. E., Appel, L. J., Falkner, B. E., Graves, J., Hill, M. N., Jones, D. W., Kurtz, T., Sheps, S. G., & Roccella, E. J. (2005) · Hypertension · doi:10.1161/01.hyp.0000150859.47929.8e · Cited by 2,051 · see citing works
PHYSICAL ACTIVITY AS AN INDEX OF HEART ATTACK RISK IN COLLEGE ALUMNI1
PAFFENBARGER, R. S., WING, A. L., & HYDE, R. T. (1978) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a112608 · Cited by 1,980 · see citing works
Molecular components of the mammalian circadian clock
Ko, C. H., & Takahashi, J. S. (2006) · Human Molecular Genetics · doi:10.1093/hmg/ddl207 · Cited by 1,657 · see citing works
A marker for the end of adolescence
Roenneberg, T., Kuehnle, T., Pramstaller, P. P., Ricken, J., Havel, M., Guth, A., & Merrow, M. (2004) · Current Biology · doi:10.1016/j.cub.2004.11.039 · Cited by 1,585 · see citing works
Roenneberg, T., Allebrandt, K. V., Merrow, M., & Vetter, C. (2012) · Current Biology · doi:10.1016/j.cub.2012.03.038 · Cited by 1,407 · see citing works
Validation of a self-administered diet history questionnaire using multiple diet records
Block, G., Woods, M., Potosky, A., & Clifford, C. (1990) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(90)90099-b · Cited by 1,197 · see citing works
Smith, C. S., Reilly, C., & Midkiff, K. (1989) · Journal of Applied Psychology · doi:10.1037/0021-9010.74.5.728 · Cited by 1,106 · see citing works
Mammalian circadian biology: elucidating genome-wide levels of temporal organization
Lowrey, P. L., & Takahashi, J. S. (2004) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev.genom.5.061903.175925 · Cited by 976 · see citing works
Circadian timing of food intake contributes to weight gain
Arble, D. M., Bass, J., Laposky, A. D., Vitaterna, M. H., & Turek, F. W. (2009) · Obesity · doi:10.1038/oby.2009.264 · Cited by 953 · see citing works
De Hert, M., Dekker, J. M., Wood, D., Kahl, K. G., Holt, R. I. G., & Möller, H.-J. (2009) · European Psychiatry · doi:10.1016/j.eurpsy.2009.01.005 · Cited by 951 · see citing works
Whooley, M. A. (2008) · JAMA · doi:10.1001/jama.2008.711 · Cited by 887 · see citing works
Buxton, O. M., & Marcelli, E. (2010) · Social Science & Medicine · doi:10.1016/j.socscimed.2010.05.041 · Cited by 818 · see citing works
Rotating Night Shift Work and Risk of Type 2 Diabetes: Two Prospective Cohort Studies in Women
Pan, A., Schernhammer, E. S., Sun, Q., & Hu, F. B. (2011) · PLoS Medicine · doi:10.1371/journal.pmed.1001141 · Cited by 805 · see citing works
Molecular components of the mammalian circadian clock
Buhr, E. D., & Takahashi, J. S. (2013) · Handbook of experimental pharmacology · doi:10.1007/978-3-642-25950-0_1 · Cited by 738 · see citing works
A reduced dietary questionnaire: development and validation
Block, G., Hartman, A. M., & Naughton, D. (1990) · Epidemiology · doi:10.1097/00001648-199001000-00013 · Cited by 711 · see citing works
Ehlers, C. L. (1988) · Archives of General Psychiatry · doi:10.1001/archpsyc.1988.01800340076012 · Cited by 707 · see citing works
Circadian rhythms in isolated brain regions
Abe, M., Herzog, E. D., Yamazaki, S., Straume, M., Tei, H., Sakaki, Y., Menaker, M., & Block, G. D. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-01-00350.2002 · Cited by 681 · see citing works
Ethnic and Socioeconomic Differences in Cardiovascular Disease Risk Factors
Winkleby, M. A., KRAEMER, H. C., Ahn, D. K., & Varady, A. N. (1998) · JAMA · doi:10.1001/jama.280.4.356 · Cited by 555 · see citing works
Role of sleep timing in caloric intake and BMI
Baron, K. G., Reid, K. J., Kern, A. S., & Zee, P. C. (2011) · Obesity · doi:10.1038/oby.2011.100 · Cited by 549 · see citing works
Depression scores associate with chronotype and social jetlag in a rural population
Levandovski, R., Dantas, G., Fernandes, L. C., Caumo, W., Torres, I., Roenneberg, T., Hidalgo, M. P. L., & Allebrandt, K. V. (2011) · Chronobiology International · doi:10.3109/07420528.2011.602445 · Cited by 527 · see citing works
Self-Reported Sleep Duration is Associated with the Metabolic Syndrome in Midlife Adults
Hall, M. H., Muldoon, M. F., Jennings, J. R., Buysse, D. J., Flory, J. D., & Manuck, S. B. (2008) · Sleep · doi:10.1093/sleep/31.5.635 · Cited by 447 · see citing works
Self-citationSocial jetlag, obesity and metabolic disorder: investigation in a cohort study
Parsons, M. J., Moffitt, T. E., Gregory, A. M., Goldman-Mellor, S., Nolan, P. M., Poulton, R., & Caspi, A. (2015) · International Journal of Obesity · doi:10.1038/ijo.2014.201 · Cited by 426 · see citing works
Rotating shift work and the metabolic syndrome: a prospective study
De Bacquer, D., Van Risseghem, M., Clays, E., Kittel, F., De Backer, G., & Braeckman, L. (2009) · International Journal of Epidemiology · doi:10.1093/ije/dyn360 · Cited by 394 · see citing works
Associations of chronotype and sleep with cardiovascular diseases and type 2 diabetes
Merikanto, I., Lahti, T., Puolijoki, H., Vanhala, M., Peltonen, M., Laatikainen, T., Vartiainen, E., Salomaa, V., Kronholm, E., & Partonen, T. (2013) · Chronobiology International · doi:10.3109/07420528.2012.741171 · Cited by 368 · see citing works
Self-reported sleep quality is associated with the metabolic syndrome
Jennings, J. R., Muldoon, M. F., Hall, M., Buysse, D. J., & Manuck, S. B. (2007) · Sleep · doi:10.1093/sleep/30.2.219 · Cited by 344 · see citing works
Self-citationMeyer, C., Pimenta, W., Woerle, H. J., Van Haeften, T., Szoke, E., Mitrakou, A., & Gerich, J. (2006) · Diabetes Care · doi:10.2337/dc06-0438 · Cited by 308 · see citing works
Accuracy of the College Alumnus Physical Activity Questionnaire
Ainsworth, B. E., Leon, A. S., Richardson, M. T., Jacobs, D. R., & Paffenbarger, R. S. (1993) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(93)90140-v · Cited by 295 · see citing works
Reviewing the psychometric properties of contemporary circadian typology measures
Di Milia, L., Adan, A., Natale, V., & Randler, C. (2013) · Chronobiology International · doi:10.3109/07420528.2013.817415 · Cited by 289 · see citing works
Chronotype is independently associated with glycemic control in type 2 diabetes
Reutrakul, S., Hood, M. M., Crowley, S. J., Morgan, M. K., Teodori, M., Knutson, K. L., & Van Cauter, E. (2013) · Diabetes Care · doi:10.2337/dc12-2697 · Cited by 285 · see citing works
Sleep Symptoms Predict the Development of the Metabolic Syndrome
Troxel, W. M., Buysse, D. J., Matthews, K. A., Kip, K. E., Strollo, P. J., Hall, M., Drumheller, O., & Reis, S. E. (2010) · Sleep · doi:10.1093/sleep/33.12.1633 · Cited by 276 · see citing works
Is Social Jetlag Associated with an Adverse Endocrine, Behavioral, and Cardiovascular Risk Profile?
Rutters, F., Lemmens, S. G., Adam, T. C., Bremmer, M. A., Elders, P. J., Nijpels, G., & Dekker, J. M. (2014) · Journal of Biological Rhythms · doi:10.1177/0748730414550199 · Cited by 274 · see citing works
Sleeping-in on the weekend delays circadian phase and increases sleepiness the following week
TAYLOR, A., WRIGHT, H. R., & LACK, L. C. (2008) · Sleep and Biological Rhythms · doi:10.1111/j.1479-8425.2008.00356.x · Cited by 122 · see citing works
Puttonen, S., Mika Kivimaki, B., Elovainio, M. J., Pulkki-Råbäck, L., Hintsanen, M., Vahtera, J., Telama, R., Juonala, M., Viikari, J. S. A., Raitakari, O. T., et al. (2009) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2009.01.016 · Cited by 118 · see citing works
Vigorous physical activity, mediating biomarkers, and risk of myocardial infarction
CHOMISTEK, A. K., CHIUVE, S. E., JENSEN, M. K., COOK, N. R., & RIMM, E. B. (2011) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31821b4d0a · Cited by 99 · see citing works
Additional validity evidence for the composite scale of morningness
Natale, V., & Alzani, A. (2001) · Personality and Individual Differences · doi:10.1016/s0191-8869(00)00046-5 · Cited by 75 · see citing works
Atherosclerotic risk and social jetlag in rotating shift-workers: First evidence from a pilot study
Kantermann, T., Duboutay, F., Haubruge, D., Kerkhofs, M., Schmidt-Trucksäss, A., & Skene, D. J. (2013) · Work · doi:10.3233/wor-121531 · Cited by 55 · see citing works
Nowak, Z., Plewa, M., Skowron, M., Markiewicz, A., Kucio, C., & Osiadło, G. (2010) · PubMed · Cited by 32 · see citing works
Choo, J., Elci, O. U., Yang, K., Turk, M. W., Styn, M. A., Sereika, S. M., Music, E., & Burke, L. E. (2010) · European Journal of Applied Physiology · doi:10.1007/s00421-009-1203-6 · Cited by 17 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
The Circadian Clock and Human Health
Roenneberg, T., & Merrow, M. (2016) · Current Biology · doi:10.1016/j.cub.2016.04.011 · Cited by 1,004 · see citing works
Chronotype and Social Jetlag: A (Self-) Critical Review
Roenneberg, T., Pilz, L. K., Zerbini, G., & Winnebeck, E. C. (2019) · Biology · doi:10.3390/biology8030054 · Cited by 753 · see citing works
Touitou, Y., Reinberg, A., & Touitou, D. (2017) · Life Sciences · doi:10.1016/j.lfs.2017.02.008 · Cited by 738 · see citing works
Circadian Rhythm and Sleep Disruption: Causes, Metabolic Consequences, and Countermeasures
Potter, G. D., Skene, D. J., Arendt, J., Cade, J. E., Grant, P. J., & Hardie, L. J. (2016) · Endocrine Reviews · doi:10.1210/er.2016-1083 · Cited by 728 · see citing works
Fan, M., Sun, D., Zhou, T., Heianza, Y., Lv, J., Li, L., & Qi, L. (2019) · European Heart Journal · doi:10.1093/eurheartj/ehz849 · Cited by 708 · see citing works
Why Sleep Matters—The Economic Costs of Insufficient Sleep: A Cross-Country Comparative Analysis
Hafner, M., Štěpánek, M., Taylor, J., Troxel, W., & Stolk, C. V. (2016) · Rand health quarterly · doi:10.7249/rhq-06-04-11 · Cited by 624 · see citing works
Circadian System and Glucose Metabolism: Implications for Physiology and Disease
Qian, J., & Scheer, F. A. J. L. (2016) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2016.03.005 · Cited by 370 · see citing works
Sleep Irregularity and Risk of Cardiovascular Events
Huang, T., Mariani, S., & Redline, S. S. (2020) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2019.12.054 · Cited by 371 · see citing works
Sleep timing, sleep consistency, and health in adults: a systematic review
Chaput, J., Dutil, C., Featherstone, R. B., Ross, R., Giangregorio, L., Saunders, T. J., Janssen, I., Poitras, V. J., Kho, M. E., Ross‐White, A., et al. (2020) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2020-0032 · Cited by 364 · see citing works
Circadian rhythms and disorders of the timing of sleep
Meyer, N., Harvey, A. G., Lockley, S. W., & Dijk, D.-J. (2022) · The Lancet · doi:10.1016/s0140-6736(22)00877-7 · Cited by 346 · see citing works
Impact of Circadian Disruption on Cardiovascular Function and Disease
Chellappa, S. L., Vujović, N., Williams, J. S., & Scheer, F. A. J. L. (2019) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2019.07.008 · Cited by 333 · see citing works
Effects of the COVID-19 lockdown on human sleep and rest-activity rhythms
Blume, C., Schmidt, M. H., & Cajochen, C. (2020) · Current Biology · doi:10.1016/j.cub.2020.06.021 · Cited by 298 · see citing works
Circadian disruption: what do we actually mean?
Vetter, C. (2020) · European Journal of Neuroscience · doi:10.1111/ejn.14255 · Cited by 333 · see citing works
Sleep in university students prior to and during COVID-19 stay-at-home orders
Wright, K. P., Linton, S. K., Withrow, D., Casiraghi, L., Lanza, S. M., Iglesia, H. D. L., Vetter, C., & Depner, C. M. (2020) · Current Biology · doi:10.1016/j.cub.2020.06.022 · Cited by 293 · see citing works
Touitou, Y., Touitou, D., & Reinberg, A. (2016) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2017.05.001 · Cited by 297 · see citing works
Adams, R., Appleton, S., Taylor, A. W., Gill, T. K., Lang, C. J., McEvoy, R. D., & Antic, N. A. (2017) · Sleep Health · doi:10.1016/j.sleh.2016.11.005 · Cited by 289 · see citing works
Human circadian phase–response curves for exercise
Youngstedt, S. D., Elliott, J. A., & Kripke, D. F. (2019) · The Journal of Physiology · doi:10.1113/jp276943 · Cited by 263 · see citing works
Chronotype, gender and general health
Fabbian, F., Zucchi, B., Giorgi, A. D., Tiseo, R., Boari, B., Salmi, R., Cappadona, R., Gianesini, G., Bassi, E., Signani, F., et al. (2016) · Chronobiology International · doi:10.1080/07420528.2016.1176927 · Cited by 261 · see citing works
Koopman, A. D. M., Rauh, S. P., Riet, E. V. ‘., Groeneveld, L., van der Heijden, A. A. W. A., Elders, P. J. M., Dekker, J. M., Nijpels, G., Beulens, J. W. J., & Rutters, F. (2017) · Journal of Biological Rhythms · doi:10.1177/0748730417713572 · Cited by 251 · see citing works
Chronotype: Implications for Epidemiologic Studies on Chrono-Nutrition and Cardiometabolic Health
Almoosawi, S., Vingeliene, S., Gachon, F., Voortman, T., Palla, L., Johnston, J. D., Van Dam, R. M., Darimont, C., & Karagounis, L. G. (2019) · Advances in Nutrition · doi:10.1093/advances/nmy070 · Cited by 247 · see citing works
Social Jetlag and Related Risks for Human Health: A Timely Review
Caliandro, R., Streng, A. A., van Kerkhof, L. W. M., van der Horst, G. T. J., & Chaves, I. (2021) · Nutrients · doi:10.3390/nu13124543 · Cited by 230 · see citing works
Circadian disruption, clock genes, and metabolic health
Schrader, L. A., Ronnekleiv‐Kelly, S. M., Hogenesch, J. B., Bradfield, C. A., & Malecki, K. M. C. (2024) · Journal of Clinical Investigation · doi:10.1172/jci170998 · Cited by 203 · see citing works
Huang, T., & Redline, S. S. (2019) · Diabetes Care · doi:10.2337/dc19-0596 · Cited by 190 · see citing works
Chronotype, Social Jet Lag, and Cardiometabolic Risk Factors in Early Adolescence
Feliciano, E. M. C., Rifas‐Shiman, S. L., Quante, M., Redline, S. S., Oken, E., & Taveras, E. M. (2019) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2019.3089 · Cited by 185 · see citing works
Circadian rhythms: a regulator of gastrointestinal health and dysfunction
Voigt, R. M., Forsyth, C. B., & Keshavarzian, A. (2019) · Expert Review of Gastroenterology & Hepatology · doi:10.1080/17474124.2019.1595588 · Cited by 185 · see citing works
Social jet lag: Sleep-corrected formula
Jankowski, K. S. (2017) · Chronobiology International · doi:10.1080/07420528.2017.1299162 · Cited by 181 · see citing works
Chrononutrition in the management of diabetes
Henry, C. J., Kaur, B., & Quek, R. Y. C. (2020) · Nutrition & Diabetes · doi:10.1038/s41387-020-0109-6 · Cited by 174 · see citing works
Jonasdottir, S. S., Minor, K., & Lehmann, S. (2020) · SLEEP · doi:10.1093/sleep/zsaa169 · Cited by 174 · see citing works
Korman, M., Tkachev, V., Reis, C., Komada, Y., Kitamura, S., Gubin, D., Kumar, V., & Roenneberg, T. (2020) · Scientific Reports · doi:10.1038/s41598-020-79299-7 · Cited by 161 · see citing works
Time to rethink sleep quality: PSQI scores reflect sleep quality on workdays
Pilz, L. K., Keller, L. K., Lenssen, D., & Roenneberg, T. (2018) · SLEEP · doi:10.1093/sleep/zsy029 · Cited by 157 · see citing works
Associations between social jetlag and mental health in young people: A systematic review
Henderson, S. E. M., Brady, E. M., & Robertson, N. (2019) · Chronobiology International · doi:10.1080/07420528.2019.1636813 · Cited by 148 · see citing works
Circadian rhythm phase shifts caused by timed exercise vary with chronotype
Thomas, J. M., Kern, P. A., Bush, H., McQuerry, K., Black, W. S., Clasey, J. L., & Pendergast, J. S. (2020) · JCI Insight · doi:10.1172/jci.insight.134270 · Cited by 145 · see citing works
Cedernaes, J., Schönke, M., Westholm, J. O., Mi, J., Chibalin, A., Voisin, S., Osler, M., Vogel, H., Hörnaeus, K., Dickson, S. L., et al. (2018) · Science Advances · doi:10.1126/sciadv.aar8590 · Cited by 137 · see citing works
Daylight Saving Time and Artificial Time Zones – A Battle Between Biological and Social Times
Roenneberg, T., Winnebeck, E. C., & Klerman, E. B. (2019) · Frontiers in Physiology · doi:10.3389/fphys.2019.00944 · Cited by 134 · see citing works
COVID-19-related mobility reduction: heterogenous effects on sleep and physical activity rhythms
Ong, J. L., Lau, T., Massar, S. A. A., Chong, Z. T., Ng, B. K. L., Koek, D., Zhao, W., Yeo, B. T. T., Cheong, K., & Chee, M. W. L. (2020) · SLEEP · doi:10.1093/sleep/zsaa179 · Cited by 133 · see citing works
Zuraikat, F. M., Makarem, N., Redline, S., Aggarwal, B., Jelic, S., & St-Onge, M.-P. (2020) · Current Diabetes Reports · doi:10.1007/s11892-020-01324-w · Cited by 125 · see citing works
Social jetlag in health and behavioral research: a systematic review
Beauvalet, J. C., Quiles, C. L., de Oliveira, M. A. B., Ilgenfritz, C. A. V., Hidalgo, M. P. L., & Tonon, A. C. (2017) · ChronoPhysiology and Therapy · doi:10.2147/cpt.s108750 · Cited by 120 · see citing works
McMahon, D. M., Burch, J. B., Youngstedt, S. D., Wirth, M. D., Hardin, J. W., Hurley, T. G., Blair, S. N., Hand, G. A., Shook, R. P., Drenowatz, C. J., et al. (2019) · Chronobiology International · doi:10.1080/07420528.2018.1563094 · Cited by 121 · see citing works
Charlot, A., Hutt, F., Sabatier, E., & Zoll, J. (2021) · Nutrients · doi:10.3390/nu13051405 · Cited by 119 · see citing works
Muscogiuri, G., Barrea, L., Aprano, S., Framondi, L., Di Matteo, R., Laudisio, D., Pugliese, G., Savastano, S., Colao, A., & on behalf of the Opera Prevention Project (2020) · Nutrients · doi:10.3390/nu12051354 · Cited by 112 · see citing works
Mota, M. C., Silva, C. M., Balieiro, L. C. T., Gonçalves, B. F., Fahmy, W. M., & Crispim, C. A. (2019) · PLoS ONE · doi:10.1371/journal.pone.0212126 · Cited by 110 · see citing works
Islam, Z., Hu, H., Akter, S., Kuwahara, K., Kochi, T., Eguchi, M., Kurotani, K., Nanri, A., Kabe, I., & Mizoue, T. (2019) · SLEEP · doi:10.1093/sleep/zsz204 · Cited by 111 · see citing works
The role of race and ethnicity in sleep, circadian rhythms and cardiovascular health
Egan, K. J., Knutson, K. L., Pereira, A. C., & von Schantz, M. (2016) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2016.05.004 · Cited by 104 · see citing works
Hasler, B. P., Franzen, P. L., de Zambotti, M., Prouty, D., Brown, S. A., Tapert, S. F., Pfefferbaum, A., Pohl, K. M., Sullivan, E. V., Bellis, M. D. D., et al. (2017) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.13401 · Cited by 102 · see citing works
Self-citationChasens, E. R., Imes, C. C., Kariuki, J. K., Luyster, F. S., Morris, J. L., DiNardo, M. M., Godzik, C. M., Jeon, B., & Yang, K. (2021) · Nursing Clinics of North America · doi:10.1016/j.cnur.2020.10.012 · Cited by 102 · see citing works
Mota, M. C., Silva, C. M., Balieiro, L. C. T., Fahmy, W. M., & Crispim, C. A. (2017) · Scientific Reports · doi:10.1038/s41598-017-06723-w · Cited by 101 · see citing works
At the Interface of Lifestyle, Behavior, and Circadian Rhythms: Metabolic Implications
Bae, S.-A., Fang, M., Rustgi, V. K., Zarbl, H., & Androulakis, I. P. (2019) · Frontiers in Nutrition · doi:10.3389/fnut.2019.00132 · Cited by 100 · see citing works
Clinical chronobiology: a timely consideration in critical care medicine
McKenna, H., van der Horst, G. T. J., Reiss, I. K. M., & Martín, D. (2018) · Critical Care · doi:10.1186/s13054-018-2041-x · Cited by 100 · see citing works
Identifying shift worker chronotype: implications for health
Hittle, B. M., & Gillespie, G. L. (2018) · Industrial Health · doi:10.2486/indhealth.2018-0018 · Cited by 98 · see citing works
Coupled network of the circadian clocks: a driving force of rhythmic physiology
Finger, A., Dibner, C., & Kramer, A. (2020) · FEBS Letters · doi:10.1002/1873-3468.13898 · Cited by 99 · see citing works
Daylight saving time: an American Academy of Sleep Medicine position statement
Rishi, M. A., Ahmed, O., Perez, J. H. B., Berneking, M., Dombrowsky, J. W., Flynn‐Evans, E. E., Santiago, V., Sullivan, S. S., Upender, R. P., Yuen, K., et al. (2020) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.8780 · Cited by 96 · see citing works
Social jetlag, chronotype, and body mass index in 14 to 17 year old adolescents
Malone, S., Zemel, B., Compher, C., Souders, M., Chittams, J., Thompson, A., Pack, A., & Lipman, T. (2016) · Chronobiology International · doi:10.1080/07420528.2016.1196697 · Cited by 93 · see citing works
Circadian and Metabolic Effects of Light: Implications in Weight Homeostasis and Health
Plano, S. A., Casiraghi, L. P., Moro, P. G., Paladino, N., Golombek, D. A., & Chiesa, J. J. (2017) · Frontiers in Neurology · doi:10.3389/fneur.2017.00558 · Cited by 95 · see citing works
Suh, S. A., Yang, H.-C., Kim, N. H., Yu, J. H., Choi, S., Yun, C., & Shin, C. (2016) · Behavioral Sleep Medicine · doi:10.1080/15402002.2016.1141768 · Cited by 94 · see citing works
Teixeira, K. R., dos Santos, C. P., de Medeiros, L. A., Mendes, J. A., Cunha, T. M., Angelis, K. D., Penha‐Silva, N., de Oliveira, E. P., & Crispim, C. A. (2019) · Scientific Reports · doi:10.1038/s41598-019-40989-6 · Cited by 94 · see citing works
Lo, E. H., Albers, G. W., Dichgans, M., Donnan, G. A., Esposito, E., Foster, R., Howells, D. W., Huang, Y.-G., Ji, X., Klerman, E. B., et al. (2021) · Stroke · doi:10.1161/strokeaha.120.031742 · Cited by 93 · see citing works
Zerón-Rugerio, M. F., Cambras, T., & Izquierdo-Pulido, M. (2019) · Nutrients · doi:10.3390/nu11081756 · Cited by 91 · see citing works
Why Should We Abolish Daylight Saving Time?
Roenneberg, T., Wirz‐Justice, A., Skene, D. J., Ancoli‐Israel, S., Wright, K. P., Dijk, D., Zee, P. C., Gorman, M. R., Winnebeck, E. C., & Klerman, E. B. (2019) · Journal of Biological Rhythms · doi:10.1177/0748730419854197 · Cited by 87 · see citing works
Zhang, Z., Cajochen, C., & Khatami, R. (2019) · Journal of Medical Internet Research · doi:10.2196/13482 · Cited by 84 · see citing works
Baron, K. G., Reid, K. J., Kim, T., Horn, L. V., Attarian, H. P., Wolfe, L. F., Siddique, J., Santostasi, G., & Zee, P. C. (2016) · International Journal of Obesity · doi:10.1038/ijo.2016.194 · Cited by 81 · see citing works
The circadian system, sleep, and the health/disease balance: a conceptual review
Roenneberg, T., Foster, F., & Klerman, E. B. (2022) · Journal of Sleep Research · doi:10.1111/jsr.13621 · Cited by 77 · see citing works
Quality of sleep and anxiety are related to circadian preference in university students
Cardoso, V. M., Magalhães, J. E. D. M., & Duarte, L. L. (2020) · PLoS ONE · doi:10.1371/journal.pone.0238514 · Cited by 81 · see citing works
Rosique-Esteban, N., Díaz‐López, A., Martínez‐González, M. Á., Corella, D., Goday, A., Martínez, J. A., Romaguera, D., Vioqué, J., Arós, F., García‐Ríos, A., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0172253 · Cited by 74 · see citing works
Later chronotype is associated with higher hemoglobin A1c in prediabetes patients
Anothaisintawee, T., Lertrattananon, D., Thamakaison, S., Knutson, K. L., Thakkinstian, A., & Reutrakul, S. (2017) · Chronobiology International · doi:10.1080/07420528.2017.1279624 · Cited by 75 · see citing works
Variability in Sleep Patterns: an Emerging Risk Factor for Hypertension
Makarem, N., Zuraikat, F. M., Aggarwal, B., Jelić, S., & St‐Onge, M. (2020) · Current Hypertension Reports · doi:10.1007/s11906-020-1025-9 · Cited by 74 · see citing works
Strategies to decrease social jetlag: Reducing evening blue light advances sleep and melatonin
Zerbini, G., Kantermann, T., & Merrow, M. W. (2018) · European Journal of Neuroscience · doi:10.1111/ejn.14293 · Cited by 74 · see citing works
Sleep and light exposure across different levels of urbanisation in Brazilian communities
Pilz, L. K., Levandovski, R. M., de Oliveira, M. A. B., Hidalgo, M. P. L., & Roenneberg, T. (2018) · Scientific Reports · doi:10.1038/s41598-018-29494-4 · Cited by 68 · see citing works
Social jetlag and obesity: A systematic review and meta‐analysis
Arab, A., Karimi, E., Garaulet, M., & Scheer, F. A. J. L. (2023) · Obesity Reviews · doi:10.1111/obr.13664 · Cited by 70 · see citing works
Wearables in Chronomedicine and Interpretation of Circadian Health
Gubin, D. G., Weinert, D., Stefani, O., Otsuka, K., Borisenkov, M. F., & Cornélissen, G. (2025) · Diagnostics · doi:10.3390/diagnostics15030327 · Cited by 72 · see citing works
Islam, Z., Akter, S., Kochi, T., Hu, H., Eguchi, M., Yamaguchi, M., Kuwahara, K., Kabe, I., & Mizoue, T. (2018) · Sleep Medicine · doi:10.1016/j.sleep.2018.07.003 · Cited by 66 · see citing works
Habitual sleep and human plasma metabolomics
Xiao, Q., Derkach, A., Moore, S. C., Zheng, W., Shu, X., Gu, F., Caporaso, N. E., Sampson, J. N., & Matthews, C. E. (2017) · Metabolomics · doi:10.1007/s11306-017-1205-z · Cited by 63 · see citing works
Sűdy, Á. R., Ella, K., Bódizs, R., & Káldi, K. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00950 · Cited by 65 · see citing works
Development of Late Circadian Preference: Sleep Timing From Childhood to Late Adolescence
Kuula, L., Pesonen, A., Merikanto, I., Gradisar, M., Lahti, J. M. T., Heinonen, K., Kajantie, E., & Räikkönen, K. (2017) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2017.10.068 · Cited by 61 · see citing works
A survey on social jetlag in Japan: a nationwide, cross-sectional internet survey
Komada, Y., Okajima, I., Kitamura, S., & Inoue, Y. (2019) · Sleep and Biological Rhythms · doi:10.1007/s41105-019-00229-w · Cited by 62 · see citing works
Chronotype and social jetlag influence human circadian clock gene expression
Takahashi, M., Tahara, Y., Tsubosaka, M., Fukazawa, M., Ozaki, M., Iwakami, T., Nakaoka, T., & Shibata, S. (2018) · Scientific Reports · doi:10.1038/s41598-018-28616-2 · Cited by 62 · see citing works
Persistence of social jetlag and sleep disruption in healthy young adults
McMahon, D. M., Burch, J. B., Wirth, M. D., Youngstedt, S. D., Hardin, J. W., Hurley, T. G., Blair, S. N., Hand, G. A., Shook, R. P., Drenowatz, C. J., et al. (2017) · Chronobiology International · doi:10.1080/07420528.2017.1405014 · Cited by 58 · see citing works
New perspectives on chrononutrition
Crispim, C. A., & Mota, M. C. (2018) · Biological Rhythm Research · doi:10.1080/09291016.2018.1491202 · Cited by 60 · see citing works
Social jetlag, eating behaviours and BMI among adolescents in the USA
Mathew, G. M., Hale, L. E., & Chang, A. (2020) · British Journal Of Nutrition · doi:10.1017/s0007114520001804 · Cited by 59 · see citing works
The Clinical Biology of Cystic Fibrosis Transmembrane Regulator Protein
Liou, T. G. (2018) · CHEST Journal · doi:10.1016/j.chest.2018.10.006 · Cited by 55 · see citing works
The relationship between chronotype and obesity: A systematic review
ERİM, S. E., & Sert, H. (2023) · Chronobiology International · doi:10.1080/07420528.2023.2180385 · Cited by 53 · see citing works
Kelly, R. M., Finn, J., Healy, U., Gallen, D., Sreenan, S., McDermott, J. H., & Coogan, A. N. (2019) · Sleep Medicine · doi:10.1016/j.sleep.2019.07.023 · Cited by 55 · see citing works
Hena, M., & Garmy, P. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00122 · Cited by 53 · see citing works
Sleep and Circadian Disturbance in Cardiovascular Risk
Belloir, J. A., Makarem, N., & Shechter, A. (2022) · Current Cardiology Reports · doi:10.1007/s11886-022-01816-z · Cited by 50 · see citing works
Wallace, D. A., Johnson, D. A., Redline, S. S., Sofer, T., & Kossowsky, J. (2023) · SLEEP · doi:10.1093/sleep/zsad220 · Cited by 53 · see citing works
Aging and the clock: Perspective from flies to humans
Nobrega, A. K. D., & Lyons, L. C. (2018) · European Journal of Neuroscience · doi:10.1111/ejn.14176 · Cited by 49 · see citing works
Cardioprotective Properties of Phenolic Compounds: A Role for Biological Rhythms
Torres‐Fuentes, C., Suárez, M., Aragonès, G., Mulero, M., Ávila‐Román, J., Arola‐Arnal, A., Salvadó, M. J., Arola, L., Bravo, F. I., & Muguerza, B. (2022) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.202100990 · Cited by 49 · see citing works
Morales‐Ghinaglia, N., & Fernández‐Mendoza, J. (2023) · Obesity · doi:10.1002/oby.23667 · Cited by 49 · see citing works
Shift work, chronotype and the risk of cardiometabolic risk factors
Hulsegge, G., Picavet, H. S. J., van der Beek, A. J., Verschuren, W. M. M., Twisk, J. W. R., & Proper, K. I. (2018) · European Journal of Public Health · doi:10.1093/eurpub/cky092 · Cited by 49 · see citing works
Bouman, E. J., Beulens, J. W. J., Groeneveld, L., de Kruijk, R. S., Schoonmade, L. J., Remmelzwaal, S., Elders, P. J. M., & Rutters, F. (2022) · Journal of Sleep Research · doi:10.1111/jsr.13770 · Cited by 47 · see citing works
Young, M. E. (2023) · JACC Basic to Translational Science · doi:10.1016/j.jacbts.2023.03.024 · Cited by 47 · see citing works
Sleep in Habitual Adult Video Gamers: A Systematic Review
Kemp, C., Pienaar, P. R., Rosslee, D. T., Lipinska, G., Roden, L. C., & Rae, D. E. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.781351 · Cited by 47 · see citing works
Zhang, R., Cai, X., Lin, C., Yang, W., Lv, F., Wu, J., & Ji, L. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.1008820 · Cited by 46 · see citing works
Social jetlag impairs balance control
Umemura, G. S., Pinho, J. P., Gonçalves, B. D. S. B., Furtado, F., & Forner‐Cordero, A. (2018) · Scientific Reports · doi:10.1038/s41598-018-27730-5 · Cited by 47 · see citing works
Yalçın, M., Mundorf, A., Thiel, F., Amatriain‐Fernández, S., Kalthoff, I. S., Beucke, J., Budde, H., Garthus‐Niegel, S., Peterburs, J., & Relógio, A. (2022) · Frontiers in Physiology · doi:10.3389/fphys.2022.873237 · Cited by 46 · see citing works
Clocks in the clinic: circadian rhythms in health and disease
Kelly, R. M., Healy, U., Sreenan, S., McDermott, J. H., & Coogan, A. N. (2018) · Postgraduate Medical Journal · doi:10.1136/postgradmedj-2018-135719 · Cited by 45 · see citing works
Sládek, M., Röschová, M., Adámková, V., Hamplová, D., & Sumová, A. (2020) · Scientific Reports · doi:10.1038/s41598-020-58413-9 · Cited by 44 · see citing works
Social jetlag and quality of life among nursing students: A cross-sectional study
Chang, S. J., & Jang, S. J. (2019) · Journal of Advanced Nursing · doi:10.1111/jan.13857 · Cited by 45 · see citing works
Mentzelou, M., Papadopoulou, S. Κ., Papandreou, D., Spanoudaki, M., Dakanalis, A., Vasios, G. K., Voulgaridou, G., Pavlidou, E., Mantzorou, M., & Giaginis, C. (2023) · Metabolites · doi:10.3390/metabo13030370 · Cited by 42 · see citing works
Circadian-Based Therapies for Circadian Rhythm Sleep-Wake Disorders
Burgess, H. J., & Emens, J. S. (2016) · Current Sleep Medicine Reports · doi:10.1007/s40675-016-0052-1 · Cited by 42 · see citing works
Kuula, L., Pesonen, A., Heinonen, K., Kajantie, E., Eriksson, J. G., Andersson, S., Lano, A., Lahti, J. M. T., Dieter Wolke, C., & Räikkönen, K. (2017) · Journal of Sleep Research · doi:10.1111/jsr.12581 · Cited by 42 · see citing works
- 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.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-10.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-10.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review