The DOI matches its Crossref record, with a small difference in title or year; 25 of the 27 references it cites were found in a registry or an index; none of the 31 sources its claims cite is checked for support yet.
Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes
Open accessAbstract
OBJECTIVE: To examine whether sleep duration and quality are associated with fasting glucose, fasting insulin, or estimated insulin resistance in a community-based sample of early middle-aged adults. RESEARCH DESIGN AND METHODS: This was an ancillary study to the Coronary Artery Risk Development in Young Adults (CARDIA) Study. Habitual sleep duration and fragmentation were estimated from 6 days of wrist actigraphy collected in 2003–2005. Insomnia was defined as self-reported difficulty falling asleep or waking up in the night three or more times per week plus average sleep efficiency of <80% based on actigraphy. Fasting blood samples to measure glucose and insulin were collected after the sleep measures during the CARDIA clinical examination in 2005–2006. Insulin resistance was estimated using the homeostatic model assessment (HOMA) method. Analyses were cross-sectional and stratified by the presence of diabetes. RESULTS: There was no association between sleep measures and fasting glucose, insulin, or HOMA in the 115 subjects without diabetes. Among the 40 subjects with diabetes, after adjustment for covariates, 10% higher sleep fragmentation was associated with a 9% higher fasting glucose level, a 30% higher fasting insulin level, and a 43% higher HOMA level. Insomnia was associated with a 23% higher fasting glucose level, a 48% higher fasting insulin level, and an 82% higher HOMA level. CONCLUSIONS: The observed association between poor sleep quality and higher glucose, insulin, and estimated insulin resistance among subjects with diabetes warrants further examination of the effect of sleep disturbances on glucose control in type 2 diabetes.
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
In this cross-sectional CARDIA ancillary study, objectively measured sleep duration was not associated with fasting glucose, insulin, or HOMA-IR, but greater sleep fragmentation and insomnia were associated with worse glucose metabolism among participants with diabetes, not those without. The authors conclude that poor sleep quality may be clinically relevant for glycemic control in type 2 diabetes and warrants further study.
Key findings
- Among the 40 subjects with diabetes, fully adjusted models showed that each 10% higher sleep fragmentation was associated with a 9% higher fasting glucose level, a 30% higher fasting insulin level, and a 43% higher HOMA level.
- Insomnia among subjects with diabetes was associated with a 23% higher fasting glucose level, a 48% higher fasting insulin level, and an 82% higher HOMA level.
- There was no association between sleep measures and fasting glucose, insulin, or HOMA in subjects without diabetes; the abstract states 115 subjects without diabetes, while Table 1 reports n=531 without diabetes and n=40 with diabetes (final sample 571). In unadjusted models among those without diabetes, frequent snoring and shorter sleep duration were associated with some outcomes, but these were not significant after adjustment; adjusted insomnia was associated with 14% lower fasting insulin and 14% lower HOMA.
- Sleep duration was not associated with any outcome in either group, and frequent snoring was not significantly associated with outcomes in fully adjusted models.
Methods
- Ancillary study to CARDIA at the Chicago site; 670 of 814 eligible participants consented, and the final analytic sample was 571 after excluding 9 with <3 days of actigraphy, 87 with reported fasting <8 h, 2 missing fasting glucose or insulin, and 1 with unknown diabetes status. Sleep was measured in 2003–2005 with wrist actigraphy (Actiwatch-16, 3 days on two occasions approximately 1 year apart) and questionnaires; fasting blood samples were collected in 2005–2006.
- Diabetes was defined by fasting plasma glucose ≥6.99 mmol/L, self-reported diagnosis, or diabetes medication use. HOMA-IR was calculated as fasting insulin (mU/L) × fasting glucose (mmol/L)/22.5. Insomnia was defined as self-reported difficulty falling asleep or waking at night ≥3 times/week plus actigraphic sleep efficiency <80%; frequent snoring was based on the Berlin Sleep Apnea questionnaire.
- Cross-sectional linear regressions were stratified by diabetes status; each sleep measure was entered into a separate model. Outcomes were natural-log transformed, and models were unadjusted and adjusted for age, race, sex, BMI, education, and income, using robust variance estimators.
Limitations
- The paper states that the cross-sectional design cannot determine causal direction; there were no polysomnographic measures, so sleep disorders such as obstructive sleep apnea could not be accurately detected; fasting status was self-reported and not objectively verified; the diabetes subgroup included only 40 individuals; and sleep was not assessed immediately before the clinical examination.
- Evident from the text: the small diabetes subgroup limits precision and generalizability, and multiple sleep predictors and outcomes were tested in separate models without stated adjustment for multiple comparisons.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
0 of 31 cited sources checked · 0 supported · 0 flagged
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
“but these associations were no longer statistically significant in the fully adjusted models.”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > RESULTS
Load-bearingStrength:plain· not yet calibratedTests✓ 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
“Our analyses suggest that habitual sleep duration objectively assessed by multiple days of wrist actigraphy is not associated with markers of glucose metabolism assessed after an overnight fast in middle-aged adults with and without diabetes.”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > CONCLUSIONS
Load-bearingStrength:hedged· not yet calibratedTests✓ 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
“Frequent snoring was not significantly associated with any of the metabolic measures in subjects with diabetes.”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > CONCLUSIONS
Load-bearingStrength:plain· not yet calibratedTests✓ 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
“Among subjects with diabetes, fragmented sleep and insomnia were associated with fasting glucose levels that were 0.7–1.8 mmol/L higher than in those who had well-consolidated sleep or no insomnia.”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > CONCLUSIONS
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
“We did not observe significant differences in sleep fragmentation between subjects with and without type 2 diabetes”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > CONCLUSIONS
Load-bearingStrength:plain· not yet calibratedTests✓ 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
“the prevalence of insomnia symptoms in subjects with diabetes was double that in those without diabetes.”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > CONCLUSIONS
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA 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
“which suggests that this association may be mediated by one of the covariates, such as BMI.”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > CONCLUSIONS
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA 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, the effects of short sleep duration or poor sleep quality on glucose metabolism in healthy individuals may be detectable only after a glucose challenge.”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > CONCLUSIONS
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“Laboratory studies that manipulated bedtimes observed impaired glucose metabolism after sleep restriction compared with sleep extension (4–6).”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > Abstract > CONCLUSIONS
What the sources say
- Not checked yetcites [4] Spiegel, 1999, Impact of sleep debt on metabolic and endocrine function, Lancet source
- Not checked yetcites [5] Buxton, 2010, Sleep restriction for 1 week reduces insulin sensitivity in healthy men
- Not checked yetcites [6] Nedeltcheva, 2009, Exposure to recurrent sleep restriction in the setting of high caloric intake and physical inactivity results in increased insulin resistance and reduced glucose tolerance, J Clin Endocrinol Metab source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“The lack of association between sleep duration or fragmentation and fasting glucose among subjects without diabetes in our sample is consistent with laboratory studies of sleep restriction in both young and middle-aged healthy subjects (4–6,19).”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > CONCLUSIONS
What the sources say
- Not checked yetcites [4] Spiegel, 1999, Impact of sleep debt on metabolic and endocrine function, Lancet source
- Not checked yetcites [5] Buxton, 2010, Sleep restriction for 1 week reduces insulin sensitivity in healthy men
- Not checked yetcites [6] Nedeltcheva, 2009, Exposure to recurrent sleep restriction in the setting of high caloric intake and physical inactivity results in increased insulin resistance and reduced glucose tolerance, J Clin Endocrinol Metab source
- Not checked yetcites [19] Tasali, 2008, Slow-wave sleep and the risk of type 2 diabetes in humans, Proc Natl Acad Sci USA source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes
- It may state two separate claims as one. 25
- Probably not a substantial claim. 12
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
“Among subjects with diabetes, greater sleep fragmentation and insomnia, but not sleep duration, were associated with higher fasting glucose, higher fasting insulin, and higher HOMA even in the fully adjusted models.”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > RESULTS
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ 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
“Among subjects without diabetes, the fully adjusted models showed insomnia was associated with lower insulin levels and, as a direct result of lower insulin levels, lower HOMA.”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > RESULTS
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ 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
“shorter sleep duration was associated with higher insulin levels and higher HOMA values”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > RESULTS
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
“a 10% higher sleep fragmentation was associated with a 9% higher fasting glucose level, a 30% higher fasting insulin level, and a 43% higher HOMA value.”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > RESULTS
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ 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
“BMI, fasting glucose, fasting insulin, HOMA-IR, and prevalence of insomnia were all significantly higher in the diabetes group.”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > RESULTS
Tests✓ 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
“Sleep fragmentation and insomnia, however, were both associated with higher fasting glucose, insulin, and estimated insulin resistance, but in subjects with diabetes only.”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > CONCLUSIONS
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ 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
“insomnia among subjects with diabetes was associated with a 23% higher fasting glucose level, a 48% higher fasting insulin level, and an 82% higher level of HOMA.”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > RESULTS
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ 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
“The regression coefficients indicated that having insomnia was associated with a 14% lower fasting insulin level and a 14% lower HOMA level.”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > RESULTS
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ 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
“In subjects without diabetes in the unadjusted models, frequent snoring was associated with higher fasting glucose, higher insulin, and higher HOMA values”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > RESULTS
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
“An exploratory analysis showed that this association became significant after adjustment for BMI, and reflected the contribution of the nondiabetic individuals with insomnia who were not overweight (BMI <25 kg/m2).”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > CONCLUSIONS
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ 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
“The unadjusted mean (SD) fasting insulin level was 43.3 (20.7) pmol/L in the 22 subjects with insomnia and 54.9 (22.4) pmol/L in the 145 individuals without insomnia.”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > CONCLUSIONS
Strength:plain· not yet calibratedn = 22Tests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
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
“Fasting glucose, fasting insulin, and HOMA-IR were all transformed using the natural log in the analyses because they were skewed to the right.”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > RESEARCH DESIGN AND METHODS > Statistical analysis
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
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 second model was adjusted for age, race, sex, BMI, education, and income.”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > RESEARCH DESIGN AND METHODS > Statistical analysis
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.
None of the sources cited for this claim have been checked yet.
In the paper
“These laboratory studies lasted only 1 to 2 weeks and the results may not reflect the effects of habitual short sleep.”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > Abstract > CONCLUSIONS
What the sources say
- Not checked yetcites [4] Spiegel, 1999, Impact of sleep debt on metabolic and endocrine function, Lancet source
- Not checked yetcites [5] Buxton, 2010, Sleep restriction for 1 week reduces insulin sensitivity in healthy men
- Not checked yetcites [6] Nedeltcheva, 2009, Exposure to recurrent sleep restriction in the setting of high caloric intake and physical inactivity results in increased insulin resistance and reduced glucose tolerance, J Clin Endocrinol Metab source
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
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 robust variance estimator was used in linear regression models to calculate confidence intervals and P values.”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > RESEARCH DESIGN AND METHODS > Statistical analysis
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
“A small Italian study did use wrist actigraphy to compare the sleep of patients with type 2 diabetes with healthy control subjects and found higher sleep fragmentation in the patients with diabetes (14).”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > Abstract > CONCLUSIONS
What the sources say
- Not checked yetcites [14] Trento, 2008, Sleep abnormalities in type 2 diabetes may be associated with glycemic control, Acta Diabetol 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.
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
“Because the mechanisms of glucose regulation are markedly different between people with and without diabetes, all analyses were stratified by diabetes status.”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > RESEARCH DESIGN AND METHODS > Statistical analysis
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
In the paper
“Wrist actigraphy has been validated against polysomnography, demonstrating a correlation for sleep duration between 0.82 in people with insomnia and 0.97 in healthy subjects (16).”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > RESEARCH DESIGN AND METHODS
What the sources say
- Not checked yetcites [16] Jean-Louis, 1997, The actigraph data analysis software: I. A novel approach to scoring and interpreting sleep-wake activity, Percept Mot Skills source
Strength:boosted· 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 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
“Each of these pathways is already dysregulated in the diabetic state and is likely to be more vulnerable to an additional perturbation, such as sleep disturbance.”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > CONCLUSIONS
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
- Rests on an assumption: Laboratory studies in healthy subjects have indicated that lower cerebral glucose utilization, elevated sympathetic activity, higher evening cortisol levels, alterations in growth hormone release, and elevated markers of inflammation are on the pathways that mediate the adverse effects of reduced sleep duration or quality on glucose metabolism, or both.
- Rests on an assumption: The mechanisms responsible for glucose homeostasis are already deficient in subjects with diabetes and therefore more vulnerable to additional perturbation.
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
“We excluded 9 participants with <3 days of wrist actigraphy data, 87 who reported a fasting period of <8 h before the clinical examination, 2 who were missing a value for fasting glucose or fasting insulin at 20 years, and one whose diabetes status could not be ascertained, which resulted in a final sample size of 571 participants.”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > RESEARCH DESIGN AND METHODS > Statistical analysis
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“These studies observed a significant deleterious impact of experimentally reduced sleep duration or quality on glucose metabolism in response to a glucose challenge, but did not observe a significant change in fasting levels of glucose or insulin.”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > CONCLUSIONS
What the sources say
- Not checked yetcites [4] Spiegel, 1999, Impact of sleep debt on metabolic and endocrine function, Lancet source
- Not checked yetcites [5] Buxton, 2010, Sleep restriction for 1 week reduces insulin sensitivity in healthy men
- Not checked yetcites [6] Nedeltcheva, 2009, Exposure to recurrent sleep restriction in the setting of high caloric intake and physical inactivity results in increased insulin resistance and reduced glucose tolerance, J Clin Endocrinol Metab source
- Not checked yetcites [19] Tasali, 2008, Slow-wave sleep and the risk of type 2 diabetes in humans, Proc Natl Acad Sci USA source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
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
“It is possible that the effects of sleep disturbances are more pronounced in subjects with diabetes because the mechanisms responsible for glucose homeostasis are already deficient and therefore more vulnerable.”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > CONCLUSIONS
Tests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence.
- Rests on an assumption: The mechanisms responsible for glucose homeostasis are already deficient in subjects with diabetes and therefore more vulnerable to additional perturbation.
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
“As part of quality control, reassays of stored samples were conducted and recalibration equations were developed for the glucose and insulin values from the 2005–2006 CARDIA examination.”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > RESEARCH DESIGN AND METHODS
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
“Many have found cross-sectional associations that indicated a higher prevalence of diabetes among short sleepers (7–9) and among those with poor subjective sleep quality (10,11).”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > Abstract > CONCLUSIONS
What the sources say
- Not checked yetcites [7] Gottlieb, 2005, Association of sleep time with diabetes mellitus and impaired glucose tolerance, Arch Intern Med source
- Not checked yetcites [8] Chaput, 2007, Association of sleep duration with type 2 diabetes and impaired glucose tolerance, Diabetologia source
- Not checked yetcites [9] Chao, Sleep duration is a potential risk factor for newly diagnosed type 2 diabetes mellitus
- Not checked yetcites [10] Jennings, 2007, Self-reported sleep quality is associated with the metabolic syndrome, Sleep source
- Not checked yetcites [11] Suarez, 2008, Self-reported symptoms of sleep disturbance and inflammation, coagulation, insulin resistance and psychosocial distress: evidence for gender disparity, Brain Behav Immun source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“These observational studies all relied on self-reported sleep, which may not be very accurate (13).”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > Abstract > CONCLUSIONS
What the sources say
- Not checked yetcites [13] Lauderdale, 2008, Self-reported and measured sleep duration: how similar are they?, Epidemiology source
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
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
“For 92% of participants in these analyses, 6 days of actigraphy recording were available and the remaining 8% had 3 to 5 days of actigraphy recording.”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > RESEARCH DESIGN AND METHODS
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
“Insomnia may be associated with increased activity in the hypothalamic-pituitary-adrenal axis (22), which could impair glucose metabolism, particularly in those whose metabolism is already compromised.”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > CONCLUSIONS
What the sources say
- Not checked yetcites [22] Vgontzas, 2002, Sleep, the hypothalamic-pituitary-adrenal axis, and cytokines: multiple interactions and disturbances in sleep disorders, Endocrinol Metab Clin North Am source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
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
“Finally, sleep was not assessed immediately before the clinical examination”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > CONCLUSIONS
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
“Second, we do not have polysomnographic measures of sleep in this cohort, so we cannot accurately detect sleep disorders like obstructive sleep apnea”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > CONCLUSIONS
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
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
“A third limitation is that participants reported having fasted for at least 8 h, but there was no way to objectively verify whether they were indeed fasting.”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > CONCLUSIONS
Load-bearingStrength:plain· not yet calibratedTests✓ 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
“which appears to be highly prevalent in patients with type 2 diabetes (23) and is associated with poorer glycemic control (24).”
§ Cross-Sectional Associations Between Measures of Sleep and Markers of Glucose Metabolism Among Subjects With and Without Diabetes > CONCLUSIONS
What the sources say
- Not checked yetcites [23] Aronsohn, 2010, Impact of untreated obstructive sleep apnea on glucose control in type 2 diabetes, Am J Respir Crit Care Med source
- Not checked yetcites [24] Punjabi, 2004, Sleep-disordered breathing, glucose intolerance, and insulin resistance: the Sleep Heart Health Study, Am J Epidemiol source
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. It may state two separate claims as one.
The paper relies on this without support.
Laboratory studies in healthy subjects have indicated that lower cerebral glucose utilization, elevated sympathetic activity, higher evening cortisol levels, alterations in growth hormone release, and elevated markers of inflammation are on the pathways that mediate the adverse effects of reduced sleep duration or quality on glucose metabolism, or both.
“Laboratory studies in healthy subjects have indicated that lower cerebral glucose utilization, elevated sympathetic activity, higher evening cortisol levels, alterations in growth hormone release, and elevated markers of inflammation are on the pathways that mediate the adverse effects of reduced sleep duration or quality on glucose metabolism, or both.”
The paper relies on this without support.
Several prospective studies found higher rates of incident diabetes associated with shorter sleep durations.
“Several prospective studies found higher rates of incident diabetes associated with shorter sleep durations.”
The paper relies on this without support.
Patients with type 2 diabetes are at a higher risk of diabetes complications if their glucose levels are poorly controlled.
“Patients with type 2 diabetes are at a higher risk of diabetes complications if their glucose levels are poorly controlled.”
The paper relies on this without support.
The mechanisms responsible for glucose homeostasis are already deficient in subjects with diabetes and therefore more vulnerable to additional perturbation.
“because the mechanisms responsible for glucose homeostasis are already deficient and therefore more vulnerable.”
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
“Furthermore, among persons with T2DM, poorer glycemic control is associated with worse sleep quality and increased sleep disordered breathing [179–181].”
From Association between sleep deficiency and cardiometabolic disease: implications for health disparities (2016) · cites this paper as [181]
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.
Diabetes-group insomnia insulin confidence interval is inconsistent with its coefficient
MajorFor the adjusted diabetes-group insomnia result, the reported confidence interval has a midpoint of 0.321, not the reported coefficient of 0.389. Its lower bound also crosses zero despite the reported P value of 0.019.
Reported 0.389 · recomputed 0.321
“| β | –0.059 | 0.216 | -0.145 | 0.389 | | 95% CI | –0.203 to 0.085 | –0.133 to 0.565 | –0.275 to −0.014 | –0.068 to 0.710 | | P | 0.42 | 0.22 | 0.030 | 0.019 |”
Abstract says there were no associations in subjects without diabetes
MajorThe abstract's blanket statement conflicts with the fully adjusted results for subjects without diabetes: insomnia was associated with lower insulin and HOMA, with P values of 0.030 and 0.038, respectively.
“There was no association between sleep measures and fasting glucose, insulin, or HOMA in the 115 subjects without diabetes.”
“Among subjects without diabetes, the fully adjusted models showed insomnia was associated with lower insulin levels and, as a direct result of lower insulin levels, lower HOMA.”
Abstract gives the wrong number of participants without diabetes
MinorThe abstract says there were 115 subjects without diabetes, but Table 1 lists 531. The table's 531 subjects without diabetes and 40 with diabetes also sum to the stated final sample of 571.
“There was no association between sleep measures and fasting glucose, insulin, or HOMA in the 115 subjects without diabetes.”
“No diabetes (n = 531) Mean (SD)”
Citations
Cites
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
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
Impact of sleep debt on metabolic and endocrine function
Spiegel, K., Leproult, R., & Van Cauter, E. (1999) · The Lancet · doi:10.1016/s0140-6736(99)01376-8 · Cited by 3,668
Using the Berlin Questionnaire To Identify Patients at Risk for the Sleep Apnea Syndrome
Netzer, N. C., Stoohs, R. A., Netzer, C. M., Clark, K., & Strohl, K. P. (1999) · Annals of Internal Medicine · doi:10.7326/0003-4819-131-7-199910050-00002 · Cited by 2,973
Quantity and Quality of Sleep and Incidence of Type 2 Diabetes
Cappuccio, F. P., D'Elia, L., Strazzullo, P., & Miller, M. A. (2010) · Diabetes Care · doi:10.2337/dc09-1124 · Cited by 1,670
Self-Reported and Measured Sleep Duration: How Similar Are They?
Lauderdale, D. S., Knutson, K. L., Yan, L. L., Liu, K., & Rathouz, P. J. (2008) · Epidemiology · doi:10.1097/ede.0b013e318187a7b0 · Cited by 1,565
Self-citationPunjabi, N. M. (2004) · American Journal of Epidemiology · doi:10.1093/aje/kwh261 · Cited by 1,107
Association of sleep time with diabetes mellitus and impaired glucose tolerance
Gottlieb, D. J., Punjabi, N. M., Newman, A. B., Resnick, H. E., Redline, S., Baldwin, C. M., & Nieto, F. J. (2005) · Archives of Internal Medicine · doi:10.1001/archinte.165.8.863 · Cited by 927
Slow-wave sleep and the risk of type 2 diabetes in humans
Tasali, E., Leproult, R., Ehrmann, D. A., & Van Cauter, E. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0706446105 · Cited by 921
Sleep Restriction for 1 Week Reduces Insulin Sensitivity in Healthy Men
Buxton, O. M., Pavlova, M., Reid, E. W., Wang, W., Simonson, D. C., & Adler, G. K. (2010) · Diabetes · doi:10.2337/db09-0699 · Cited by 604
Flagged first, then by citations
2 of the 27 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Sleep Health: Can We Define It? Does It Matter?
Buysse, D. J. (2014) · SLEEP · doi:10.5665/sleep.3298 · Cited by 2,768
Insomnia with objective short sleep duration: The most biologically severe phenotype of the disorder
Vgontzas, A. N., Fernandez-Mendoza, J., Liao, D., & Bixler, E. O. (2013) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2012.09.005 · Cited by 776
Insomnia and Risk of Cardiovascular Disease
Javaheri, S., & Redline, S. S. (2017) · CHEST Journal · doi:10.1016/j.chest.2017.01.026 · Cited by 757
Circadian topology of metabolism
Bass, J. T. (2012) · Nature · doi:10.1038/nature11704 · Cited by 636
Metabolic Consequences of Sleep and Circadian Disorders
Depner, C. M., Stothard, E. R., & Wright, K. P. (2014) · Current Diabetes Reports · doi:10.1007/s11892-014-0507-z · Cited by 510
Constructs of depression and distress in diabetes: time for an appraisal
Snoek, F. J., Bremmer, M. A., & Hermanns, N. (2015) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(15)00135-7 · Cited by 449
Hicken, M. T., Lee, H., Ailshire, J., Burgard, S. A., & Williams, D. R. (2013) · Race and Social Problems · doi:10.1007/s12552-013-9095-9 · Cited by 355
Insomnia and its Impact on Physical and Mental Health
Fernández‐Mendoza, J., & Vgontzas, A. N. (2013) · Current Psychiatry Reports · doi:10.1007/s11920-013-0418-8 · Cited by 356
Reutrakul, S., & Van Cauter, E. (2014) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12355 · Cited by 321
The impact of sleep disorders on glucose metabolism: endocrine and molecular mechanisms
Briançon‐Marjollet, A., Weiszenstein, M., Henri, M., Thomas, A., Godin‐Ribuot, D., & Polak, J. (2015) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-015-0018-3 · Cited by 334
Sleep symptoms associated with intake of specific dietary nutrients
Grandner, M. A., Jackson, N., Gerstner, J. R., & Knutson, K. L. (2014) · Journal of Sleep Research · doi:10.1111/jsr.12084 · Cited by 273
Self-citationYoga for Adults with Type 2 Diabetes: A Systematic Review of Controlled Trials
Innes, K. E., & Selfe, T. K. (2016) · Journal of Diabetes Research · doi:10.1155/2016/6979370 · Cited by 248
Does inadequate sleep play a role in vulnerability to obesity?
Knutson, K. L. (2012) · American Journal of Human Biology · doi:10.1002/ajhb.22219 · Cited by 241
Self-citationLoneliness Is Associated with Sleep Fragmentation in a Communal Society
Kurina, L. M., Knutson, K. L., Hawkley, L. C., Cacioppo, J. T., Lauderdale, D. S., & Ober, C. (2011) · SLEEP · doi:10.5665/sleep.1390 · Cited by 254
Self-citationThe Epidemiology of Sleep and Diabetes
Ogilvie, R. P., & Patel, S. R. (2018) · Current Diabetes Reports · doi:10.1007/s11892-018-1055-8 · Cited by 211
The Effects of Insomnia and Sleep Loss on Cardiovascular Disease
Khan, M. S., & Aouad, R. (2017) · Sleep Medicine Clinics · doi:10.1016/j.jsmc.2017.01.005 · Cited by 185
Turek, N. F., Ricardo, A. C., & Lash, J. P. (2012) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2012.04.027 · Cited by 168
Therapeutic Effects of Melatonin Receptor Agonists on Sleep and Comorbid Disorders
Laudon, M., & Frydman‐Marom, A. (2014) · International Journal of Molecular Sciences · doi:10.3390/ijms150915924 · Cited by 155
Insomnia and incident depression: role of objective sleep duration and natural history
Fernandez‐Mendoza, J., Shea, S., Vgontzas, A. N., Calhoun, S. L., Liao, D., & Bixler, E. O. (2015) · Journal of Sleep Research · doi:10.1111/jsr.12285 · Cited by 148
Stress and A1c Among People with Diabetes Across the Lifespan
Hilliard, M. E., Yi‐Frazier, J. P., Hessler, D., Butler, A. M., Anderson, B. J., & Jaser, S. S. (2016) · Current Diabetes Reports · doi:10.1007/s11892-016-0761-3 · Cited by 143
Sleep Disorders and the Development of Insulin Resistance and Obesity
Mesarwi, O. A., Polak, J., Jun, J. C., & Polotsky, V. Y. (2013) · Endocrinology and Metabolism Clinics of North America · doi:10.1016/j.ecl.2013.05.001 · Cited by 150
Sleep architecture and glucose and insulin homeostasis in obese adolescents
Koren, D., Levitt Katz, L. E., Brar, P. C., Gallagher, P. R., Berkowitz, R. I., & Brooks, L. J. (2011) · Diabetes Care · doi:10.2337/dc11-1093 · Cited by 134
Zisapel, N., Garfinkel, Zorin, Wainstein, J., Matas, & Zisapel, N. (2011) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s23904 · Cited by 130
Impact of Sleep Duration on Obesity and the Glycemic Level in Patients With Type 2 Diabetes
Ohkuma, T., Fujii, H., Iwase, M., Kikuchi, Y., Ogata, S., Idewaki, Y., Ide, H., Doi, Y., Hirakawa, Y., Nakamura, U., et al. (2012) · Diabetes Care · doi:10.2337/dc12-0904 · Cited by 128
The Effects of Insomnia and Sleep Loss on Cardiovascular Disease
Khan, M. S., & Aouad, R. (2022) · Sleep Medicine Clinics · doi:10.1016/j.jsmc.2022.02.008 · Cited by 132
Rangaraj, V. R., & Knutson, K. L. (2016) · Sleep Medicine · doi:10.1016/j.sleep.2015.02.535 · Cited by 120
Self-citationConnecting insufficient sleep and insomnia with metabolic dysfunction
Duan, D., Kim, L. J., Jun, J. C., & Polotsky, V. Y. (2023) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14926 · Cited by 110
Lari, Z. N., Hajimonfarednejad, M., Riasatian, M., Abolhassanzadeh, Z., Iraji, A., Vojoud, M., Heydari, M., & Shams, M. (2020) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2020.112560 · Cited by 113
Song, S. O., He, K., Narla, R. R., Kang, H. G., Ryu, H. U., & Boyko, E. J. (2019) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2018.0256 · Cited by 106
The association between self‐reported sleep quality and overweight in a Chinese population
Hung, H., Yang, Y., Ou, H., Wu, J., Lu, F., & Chang, C. (2013) · Obesity · doi:10.1002/oby.20259 · Cited by 99
Chronobiology, endocrinology, and energy‐ and food‐reward homeostasis
Gonnissen, H. K. J., Hulshof, T., & Westerterp‐Plantenga, M. S. (2013) · Obesity Reviews · doi:10.1111/obr.12019 · Cited by 93
Pulmonary Function and Sleep Breathing: Two New Targets for Type 2 Diabetes Care
Lecube, A., Simó, R., Pallayová, M., Punjabi, N. M., López‐Cano, C., Turino, C., Hernández, C., & Barbé, F. (2017) · Endocrine Reviews · doi:10.1210/er.2017-00173 · Cited by 93
Hermanns, N., Ehrmann, D., Shapira, A., Kulzer, B., SCHMITT, A. J., & Laffel, L. M. (2022) · Diabetologia · doi:10.1007/s00125-022-05685-7 · Cited by 97
Brindle, R. C., Yu, L., Buysse, D. J., & Hall, M. H. (2019) · SLEEP · doi:10.1093/sleep/zsz116 · Cited by 90
Koopman, A. D. M., Beulens, J. W. J., Dijkstra, T., Pouwer, F., Bremmer, M. A., van Straten, A., & Rutters, F. (2019) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgz065 · Cited by 93
Full, K. M., Huang, T., Shah, N. A., Allison, M., Michos, E. D., Duprez, D. A., Redline, S. S., & Lutsey, P. L. (2023) · Journal of the American Heart Association · doi:10.1161/jaha.122.027361 · Cited by 91
The Association between Self-Reported Sleep Quality and Metabolic Syndrome
Hung, H., Yang, Y., Ou, H., Wu, J., Lu, F., & Chang, C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0054304 · Cited by 92
Update on Energy Homeostasis and Insufficient Sleep
Penev, P. D. (2012) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2012-1067 · Cited by 87
Sleep During Pregnancy: The nuMoM2b Pregnancy and Sleep Duration and Continuity Study
Reid, K. J., Facco, F., Grobman, W. A., Parker, C. B., Herbas, M., Hunter, S. M., Silver, R. M., Basner, R. C., Saade, G. R., Pien, G. W., et al. (2017) · SLEEP · doi:10.1093/sleep/zsx045 · Cited by 85
Self-citationOhkuma, T., Fujii, H., Iwase, M., Kaizu, S., Ide, H., Kikuchi, Y., Idewaki, Y., Jodai, T., Hirakawa, Y., Nakamura, U., et al. (2013) · Metabolism · doi:10.1016/j.metabol.2013.12.001 · Cited by 82
Bakker, J. P., Weng, J. F., Wang, R., Redline, S. S., Punjabi, N. M., & Patel, S. R. (2015) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201502-0366oc · Cited by 78
Sleep duration and sleep quality are associated differently with alterations of glucose homeostasis
Byberg, S., Hansen, A. ‐. S., Christensen, D. L., Vistisen, D., Aadahl, M., Linneberg, A. R., & Witte, D. R. (2012) · Diabetic Medicine · doi:10.1111/j.1464-5491.2012.03711.x · Cited by 74
Sartorius, T., Ketterer, C., Kullmann, S., Balzer, M., Rotermund, C., Binder, S., Hallschmid, M., Machann, J., Schick, F., Somoza, V., et al. (2012) · Diabetes · doi:10.2337/db11-1521 · Cited by 73
O'Keeffe, M. M., & St‐Onge, M. (2012) · International Journal of Obesity · doi:10.1038/ijo.2012.142 · Cited by 71
Insomnia With Short Sleep Duration
Vgontzas, A. N., & Fernández‐Mendoza, J. (2013) · Sleep Medicine Clinics · doi:10.1016/j.jsmc.2013.04.009 · Cited by 75
Sakamoto, R., Yamakawa, T., Takahashi, K., Suzuki, J., Shinoda, M., Sakamaki, K., Danno, H., Tsuchiya, H., Waseda, M., Takano, T., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0191771 · Cited by 72
Feliciano, E. M. C., Dudley, K. A., Sotres‐Alvarez, D., Zee, P. C., Daviglus, M. L., Shah, N. A., Talavera, G. A., Gallo, L. C., Mattei, J., Qi, Q., et al. (2015) · Journal of Diabetes · doi:10.1111/1753-0407.12308 · Cited by 67
Self-citationEffects of sleep restriction on the human plasma metabolome
Bell, L. N., Kilkus, J. M., Booth, J. N., Bromley, L. E., Imperial, J. G., & Penev, P. D. (2013) · Physiology & Behavior · doi:10.1016/j.physbeh.2013.08.007 · Cited by 67
Sleep and glycemic control in adolescents with type 1 diabetes
von Schnurbein, J., Boettcher, C., Brandt, S., Karges, B., Dunstheimer, D., Galler, A., Denzer, C., Denzer, F., Vollbach, H., Wabitsch, M., et al. (2017) · Pediatric Diabetes · doi:10.1111/pedi.12538 · Cited by 67
Associations of sleep quality with incident atrial fibrillation: a meta‐analysis
Chokesuwattanaskul, R., Thongprayoon, C., Sharma, K., Congrete, S., Tanawuttiwat, T., & Cheungpasitporn, W. (2018) · Internal Medicine Journal · doi:10.1111/imj.13764 · Cited by 67
Zhu, B., Hershberger, P. E., Kapella, M. C., & Fritschi, C. (2017) · Journal of Clinical Nursing · doi:10.1111/jocn.13899 · Cited by 66
Gene-environment interactions of circadian-related genes for cardiometabolic traits
Dashti, H. S., Follis, J. L., Smith, C. E., Tanaka, T., Garaulet, M., Gottlieb, D. J., Hruby, A., Jacques, P. F., Kiefte-de Jong, J. C., Lamon-Fava, S., et al. (2015) · Diabetes Care · doi:10.2337/dc14-2709 · Cited by 64
Long Sleep Duration Associated With a Higher Risk of Increased Arterial Stiffness in Males
Tsai, T.-C., Wu, J., Yang, Y., Huang, Y., Lu, F.-H., & Chang, C. (2014) · SLEEP · doi:10.5665/sleep.3920 · Cited by 62
Sleep, circadian rhythm and body weight: parallel developments
Westerterp‐Plantenga, M. S. (2016) · Proceedings of The Nutrition Society · doi:10.1017/s0029665116000227 · Cited by 67
Evidence for altered insulin receptor signaling in Alzheimer's disease
Griffith, C. M., Eid, T., Rose, G. M., & Patrylo, P. R. (2018) · Neuropharmacology · doi:10.1016/j.neuropharm.2018.01.008 · Cited by 64
Autonomic dysregulation and sleep homeostasis in insomnia
Grimaldi, D., Reid, K. J., Papalambros, N. A., Braun, R., Malkani, R. G., Abbott, S. M., Ong, J. C., & Zee, P. C. (2020) · SLEEP · doi:10.1093/sleep/zsaa274 · Cited by 60
Self-citationGonnissen, H. K. J., Mazuy, C., Rutters, F., Martens, E. A. P., Adam, T. C., & Westerterp-Plantenga, M. S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0072877 · Cited by 59
Does Menopause Increase Diabetes Risk? Strategies for Diabetes Prevention in Midlife Women
Kim, C. (2012) · Women s Health · doi:10.2217/whe.11.95 · Cited by 61
Impact of the Metabolic Syndrome on Mortality is Modified by Objective Short Sleep Duration
Fernández‐Mendoza, J., He, F., Lagrotte, C. A., Vgontzas, A. N., Liao, D., & Bixler, E. O. (2017) · Journal of the American Heart Association · doi:10.1161/jaha.117.005479 · Cited by 58
Fernández‐Mendoza, J., He, F., Vgontzas, A. N., Liao, D., & Bixler, E. O. (2019) · Journal of the American Heart Association · doi:10.1161/jaha.119.013043 · Cited by 53
Knutson, K. L. (2013) · American Journal of Human Biology · doi:10.1002/ajhb.22481 · Cited by 53
Self-citationWhitaker, K. M., Lutsey, P. L., Ogilvie, R. P., Pankow, J. S., Bertoni, A. G., Michos, E. D., Punjabi, N. M., & Redline, S. S. (2018) · SLEEP · doi:10.1093/sleep/zsy172 · Cited by 53
Sleep Disturbances and Glucose Metabolism in Older Adults: The Cardiovascular Health Study
Strand, L. B., Carnethon, M. R., Biggs, M. L., Djoussé, L., Kaplan, R. C., Siscovick, D. S., Robbins, J. A., Redline, S. S., Patel, S. R., Janszky, I., et al. (2015) · Diabetes Care · doi:10.2337/dc15-0137 · Cited by 55
Shorter Sleep Duration is Associated with Decreased Insulin Sensitivity in Healthy White Men
Wong, P. M., Manuck, S. B., DiNardo, M. M., Korytkowski, M., & Muldoon, M. F. (2015) · Sleep · doi:10.5665/sleep.4402 · Cited by 49
Zhang, X., Sun, Y., Ye, S., Huang, Q., Zheng, R., Li, Z., Yu, F., Zhao, C., Zhang, M., Zhao, G., et al. (2024) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.11326 · Cited by 51
Ford, E. S., Wheaton, A. G., Chapman, D. P., Li, C., Perry, G. S., & Croft, J. B. (2013) · Journal of Diabetes · doi:10.1111/1753-0407.12101 · Cited by 49
Subjective age and sleep in middle-aged and older adults
Stéphan, Y., Sutin, A. R., Bayard, S., & Terracciano, A. (2017) · Psychology and Health · doi:10.1080/08870446.2017.1324971 · Cited by 52
Liu, X., Li, C., Sun, X., Yu, Y., Si, S., Hou, L., Yan, R., Yu, Y., Li, M., Li, H., et al. (2021) · Journal of the American Heart Association · doi:10.1161/jaha.120.020187 · Cited by 44
Sleep Apnea in Type 2 Diabetes
Doumit, J., & Prasad, B. (2016) · Diabetes Spectrum · doi:10.2337/diaspect.29.1.14 · Cited by 46
Nocturia and increase in nocturnal blood pressure
Matsumoto, T., Tabara, Y., Murase, K., Setoh, K., Kawaguchi, T., Nagashima, S., Kosugi, S., Nakayama, T., Wakamura, T., Hirai, T., et al. (2018) · Journal of Hypertension · doi:10.1097/hjh.0000000000001802 · Cited by 46
Sleep quality and gestational diabetes in pregnant women: a systematic review and meta-analysis
Zhu, B., Shi, C., Park, C. G., & Reutrakul, S. (2020) · Sleep Medicine · doi:10.1016/j.sleep.2019.11.1246 · Cited by 45
Physiological and medical findings in insomnia: Implications for diagnosis and care
Bonnet, M. H., Burton, G. G., & Arand, D. L. (2013) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2013.02.003 · Cited by 46
Baron, K. G., Reid, K. J., Malkani, R. G., Kang, J., & Zee, P. C. (2016) · Behavioral Sleep Medicine · doi:10.1080/15402002.2015.1120200 · Cited by 50
Self-citationInsomnia Phenotypes, Cardiovascular Risk and Their Link to Brain Health
Fernández‐Mendoza, J. (2025) · Circulation Research · doi:10.1161/circresaha.125.325686 · Cited by 48
Webel, A. R., Moore, S. M., Hanson, J. E., Patel, S. R., Schmotzer, B. J., & Salata, R. A. (2013) · Applied Nursing Research · doi:10.1016/j.apnr.2012.10.002 · Cited by 44
Sayın, F. K., & Büyükinan, M. (2016) · Childhood Obesity · doi:10.1089/chi.2015.0126 · Cited by 42
Givens, M. L., Malecki, K. M. C., Peppard, P. E., Palta, M., Said, A., Engelman, C. D., Walsh, M. C., & Nieto, F. J. (2015) · Sleep Health · doi:10.1016/j.sleh.2015.04.014 · Cited by 43
Sleep disorders as both risk factors for, and a consequence of, stroke: A narrative review
Mayer‐Suess, L., Ibrahim, A., Moelgg, K., Cesari, M., Knoflach, M., Högl, B., Stefani, A., Kiechl, S. J., & Heidbreder, A. (2023) · International Journal of Stroke · doi:10.1177/17474930231212349 · Cited by 44
Sleep disturbance in people with diabetes: A concept analysis
Zhu, B., Vincent, C., Kapella, M. C., Quinn, L., Collins, E. G., Ruggiero, L., Park, C., & Fritschi, C. (2017) · Journal of Clinical Nursing · doi:10.1111/jocn.14010 · Cited by 44
Kim, T. H., Carroll, J. E., An, S. K., Seeman, T. E., Namkoong, K., & Lee, E. (2016) · Sleep Medicine · doi:10.1016/j.sleep.2016.07.023 · Cited by 39
Endocrine Physiology in Relation to Sleep and Sleep Disturbances
Cauter, E. V., & Tasali, E. (2011) · Elsevier eBooks · doi:10.1016/b978-1-4160-6645-3.00026-8 · Cited by 38
Wang, T., Lu, J., Wang, W., Mu, Y., Zhao, J., Liu, C., Chen, L., Shi, L., Li, Q., Yang, T., et al. (2015) · Diabetic Medicine · doi:10.1111/dme.12809 · Cited by 38
Association between Sleep Disruption and Levels of Lipids in Caucasians with Type 2 Diabetes
Mahmood, W. A. W., Draman, M. S., Behan, L., Perna, A., Tun, T. K., McDermott, J., & Sreenan, S. (2013) · International Journal of Endocrinology · doi:10.1155/2013/341506 · Cited by 38
van der Pal, K. C., Koopman, A. D. M., Lakerveld, J., van der Heijden, A. A. W. A., Elders, P. J. M., Beulens, J. W. J., & Rutters, F. (2018) · Sleep Medicine · doi:10.1016/j.sleep.2018.07.022 · Cited by 38
Dong, G., Qu, L., Gong, X., Pang, B., Yan, W., & Wei, J. (2019) · International Journal of Endocrinology · doi:10.1155/2019/8749291 · Cited by 40
Differences in Insulin Secretion and Sensitivity in Short-Sleep Insomnia
Vasisht, K. P., Kessler, L. E., Booth, J. N., Imperial, J., & Penev, P. D. (2013) · SLEEP · doi:10.5665/sleep.2734 · Cited by 39
Nedeltcheva, A. V., Imperial, J., & Penev, P. D. (2012) · Obesity · doi:10.1038/oby.2012.97 · Cited by 38
So, H., Chua, G. T., Yip, K. M., Tung, K. T. S., Wong, R. S. M., Louie, L. H.-T., Tso, W. W. Y., Wong, I. C. K., Yam, J. C. S., Kwan, M. Y. W., et al. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph191710539 · Cited by 36
Hung, H., Yang, Y., Ou, H., Wu, J., Lu, F., & Chang, C. (2012) · Clinical Endocrinology · doi:10.1111/j.1365-2265.2012.04423.x · Cited by 37
Makino, S., Hirose, S., Kakutani, M., Fujiwara, M., Nishiyama, M., Terada, Y., & Ninomiya, H. (2017) · Sleep Medicine · doi:10.1016/j.sleep.2017.11.1124 · Cited by 37
Zhu, B., Quinn, L., & Fritschi, C. (2017) · Journal of Advanced Nursing · doi:10.1111/jan.13482 · Cited by 36
Subjective Sleep Complaints Are Associated With Insulin Resistance in Individuals Without Diabetes
Pyykkönen, A.-J., Isomaa, B., Pesonen, A., Eriksson, J. G., Groop, L., Tuomilehto, J., & Räikkönen, K. (2012) · Diabetes Care · doi:10.2337/dc12-0348 · Cited by 37
Relationships among sleep timing, sleep duration and glycemic control in type 2 diabetes in Thailand
Reutrakul, S., Siwasaranond, N., Nimitphong, H., Saetung, S., Chirakalwasan, N., Ongphiphadhanakul, B., Thakkinstian, A., Hood, M. M., & Crowley, S. J. (2015) · Chronobiology International · doi:10.3109/07420528.2015.1105812 · Cited by 35
Kovach, C. R., Evans, C.-R., Sattell, L., Rosenau, K., & Gopalakrishnan, S. (2018) · Research in Gerontological Nursing · doi:10.3928/19404921-20180223-01 · Cited by 37
Disturbed Subjective Sleep in Chinese Females with Type 2 Diabetes on Insulin Therapy
Song, Y., Ye, X., Ye, L., Li, B., Wang, L., & Hua, Y. (2013) · PLoS ONE · doi:10.1371/journal.pone.0054951 · Cited by 34
Sleep Optimization and Diabetes Control: A Review of the Literature
Arora, T., & Taheri, S. (2015) · Diabetes Therapy · doi:10.1007/s13300-015-0141-z · Cited by 34
Baoying, H., Chen, H., Qiu, C., Wu, P., Qingfei, L., Lin, Y., Huang, H., Jixing, L., Li, L., Chen, L., et al. (2014) · BMJ Open · doi:10.1136/bmjopen-2013-004419 · Cited by 34
Various patterns of disrupted daily rest–activity rhythmicity associated with diabetes
Kadono, M., Nakanishi, N., Yamazaki, M., Hasegawa, G., Nakamura, N., & Fukui, M. (2016) · Journal of Sleep Research · doi:10.1111/jsr.12385 · Cited by 33
Wang, X., Zhao, C., Feng, H., Li, G., He, L., Yang, L., Liang, Y., Tan, X. W., Xu, Y., Cui, R., et al. (2023) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgad089 · Cited by 34
Harada, Y., Oga, T., Chin, K., Takegami, M., Takahashi, K. P., Sumi, K., Nakamura, T., Nakayama-Ashida, Y., Minami, I., Horita, S., et al. (2012) · Journal of Sleep Research · doi:10.1111/j.1365-2869.2012.00997.x · Cited by 35
Metadata
- Authors
- Knutson, K. L., Van Cauter, E., Zee, P., Liu, K., & Lauderdale, D. S.
- Affiliations
- University of Chicago (US)
- Department of Medicine, University of Chicago, Chicago, Illinois
- Northwestern University (US)
- Corresponding author
- Knutson, Kristen L.
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2011-04-20
- Volume
- 34
- Issue
- 5
- Pages
- 1171-1176
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- PMC
- PMC3114508
- OpenAlex
- W1967340496
- Semantic Scholar
- 010fc1dbc063f2587f71da0c481460fb422c89ac
- Cited by
- 230
- References
- 27
- Citations by year
- 2026: 6 · 2025: 12 · 2024: 8 · 2023: 11 · 2022: 18 · 2021: 9 · 2020: 12 · 2019: 13 · 2018: 13 · 2017: 19 · 2016: 20 · 2015: 22 · 2014: 16 · 2013: 25 · 2012: 21
- FWCI
- 27.52
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Diabetes Care (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (n01hc95095-66-0-1, n01hc48050-59-0-1, n01hc48048-58-0-1, n01hc48047-55-0-1, n01hc48049-61-0-1)
- U.S. Public Health Service
- National Institute on Aging (P01AG011412)
- National Heart, Lung, and Blood Institute (N01HC48050, N01 HC 95095, N01 HC048048, N01-HC-048049, NO1-HC-48049, N01 HC095095, N01 HC048050, N01-HC48048, N01-HC-48-049, N01 HC048047, NO1-HC-95095, N01-HC-480-47)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
- Keywords
- sleep duration, sleep quality, sleep fragmentation, insomnia, diabetes mellitus, insulin resistance, fasting blood glucose, fasting insulin, glucose metabolism, type 2 diabetes, middle-aged adults, actigraphy
- MeSH terms
- Adult, Blood Glucose, Cross-Sectional Studies, Diabetes Mellitus, Fasting, Female, Humans, Sleep Initiation and Maintenance Disorders, Insulin, Insulin Resistance, Male, Middle Aged, Sleep, Actigraphy
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.
A language model drew the claims from the paper on 2026-10-10, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-10-10 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
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
