Cited by 112Sleep and related disordersCircadian rhythm and melatoninSleep and Wakefulness Research

Habitual sleep duration is associated with BMI and macronutrient intake and may be modified by CLOCK genetic variants

Open access
Dashti, Hassan S, Follis, Jack L, Smith, Caren E, Tanaka, Toshiko, Cade, Brian E, Gottlieb, Daniel J, Hruby, Adela, Jacques, Paul F +46 more·2015·The American Journal of Clinical Nutrition

Abstract

Background Short sleep duration has been associated with greater risks of obesity, hypertension, diabetes, and cardiovascular disease. Also, common genetic variants in the human Circadian Locomotor Output Cycles Kaput (CLOCK) show associations with ghrelin and total energy intake.Objectives We examined associations between habitual sleep duration, body mass index (BMI), and macronutrient intake and assessed whether CLOCK variants modify these associations.Design We conducted inverse-variance weighted, fixed-effect meta-analyses of results of adjusted associations of sleep duration and BMI and macronutrient intake as percentages of total energy as well as interactions with CLOCK variants from 9 cohort studies including up to 14,906 participants of European descent from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium.Results We observed a significant association between sleep duration and lower BMI (β ± SE = 0.16 ± 0.04, P < 0.0001) in the overall sample; however, associations between sleep duration and relative macronutrient intake were evident in age- and sex-stratified analyses only. We observed a significant association between sleep duration and lower saturated fatty acid intake in younger (aged 20-64 y) adults (men: 0.11 ± 0.06%, P = 0.03; women: 0.10 ± 0.05%, P = 0.04) and with lower carbohydrate (-0.31 ± 0.12%, P < 0.01), higher total fat (0.18 ± 0.09%, P = 0.05), and higher PUFA (0.05 ± 0.02%, P = 0.02) intakes in older (aged 65-80 y) women. In addition, the following 2 nominally significant interactions were observed: between sleep duration and rs12649507 on PUFA intake and between sleep duration and rs6858749 on protein intake.Conclusions Our results indicate that longer habitual sleep duration is associated with lower BMI and age- and sex-specific favorable dietary behaviors. Differences in the relative intake of specific macronutrients associated with short sleep duration could, at least in part, explain previously reported associations between short sleep duration and chronic metabolic abnormalities. In addition, the influence of obesity-associated CLOCK variants on the association between sleep duration and macronutrient intake suggests that longer habitual sleep duration could ameliorate the genetic predisposition to obesity via a favorable dietary profile.

Integrity signals

Registry

Crossref · 10.3945/ajcn.114.095026

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

  • Evidence for interactions between diet and these genes is uncommon.

    “Large investigations pooling multiple cohorts have observed main (population) effects of either dietary influences or genes on major cardiometabolic risk factors, but evidence for interactions between diet and these genes is uncommon and, more relevantly, magnitudes of such potential interactions are often small.78-83”
  • Magnitudes of such potential gene-diet interactions are often small.

    “Large investigations pooling multiple cohorts have observed main (population) effects of either dietary influences or genes on major cardiometabolic risk factors, but evidence for interactions between diet and these genes is uncommon and, more relevantly, magnitudes of such potential interactions are often small.78-83”
  • Large investigations pooling multiple cohorts have observed main (population) effects of either dietary influences or genes on major cardiometabolic risk factors.

    “Large investigations pooling multiple cohorts have observed main (population) effects of either dietary influences or genes on major cardiometabolic risk factors, but evidence for interactions between diet and these genes is uncommon and, more relevantly, magnitudes of such potential interactions are often small.78-83”

The citation lists haven’t been fetched yet

References 40 · Cited by 112

Authors
Dashti, H. S., Follis, J. L., Smith, C. E., Tanaka, T., Cade, B. E., Gottlieb, D. J., Hruby, A., Jacques, P. F., Lamon-Fava, S., Richardson, K., Saxena, R., Scheer, F. A., Kovanen, L., Bartz, T. M., Perälä, M.-M., Jonsson, A., Frazier-Wood, A. C., Kalafati, I.-P., Mikkilä, V., Partonen, T., Lemaitre, R. N., Lahti, J., Hernandez, D. G., Toft, U., Johnson, W. C., Kanoni, S., Raitakari, O. T., Perola, M., Psaty, B. M., Ferrucci, L., Grarup, N., Highland, H. M., Rallidis, L., Kähönen, M., Havulinna, A. S., Siscovick, D. S., Räikkönen, K., Jørgensen, T., Rotter, J. I., Deloukas, P., Viikari, J. S., Mozaffarian, D., Linneberg, A., Seppälä, I., Hansen, T., Salomaa, V., Gharib, S. A., Eriksson, J. G., Bandinelli, S., Pedersen, O., Rich, S. S., Dedoussis, G., Lehtimäki, T., & Ordovás, J. M.
Affiliations
Tufts University (US)
Venue
The American Journal of Clinical Nutrition
Publisher
Elsevier BV
Published
2015-01
Volume
101
Issue
1
Pages
135-143
ISSN
0002-9165 (ISSN-L)
OpenAlex
W2096026037
Cited by
112
References
40
Citations by year
2026: 2 · 2025: 9 · 2024: 5 · 2023: 7 · 2022: 12 · 2021: 10 · 2020: 15 · 2019: 12 · 2018: 4 · 2017: 11 · 2016: 12 · 2015: 11 · 2014: 1 · 2013: 1
FWCI
16.10
Type
journal article
Language
en
Open access
Locations
  • American Journal of Clinical Nutrition (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, other-oa)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
  • USDA (58-1950-0-014)
  • NIH (R21 DK089378, R01 HL094806)
  • CES (K08 HL112845-01)
  • Academy of Finland (136635, 139635, 134309, 126925, 121584, 124282, 129378, 117787, 41071)
  • Finnish Foundation for Cardiovascular Research
  • National Institute of Neurological Disorders and Stroke
  • U.S. National Institute on Aging (AG023629, 263 MD 9164, 263 MD 821336)
  • National Center for Advancing Translational Sciences
  • Clinical and Translational Science Institute (UL1TR000124)
  • National Heart, Lung, and Blood Institute (HL105756, HHSN268201200036C, HHSN268200800007C, N01HC55222, N01HC85079, N01HC85080, N01HC85081, N01HC85082, N01HC85083, N01HC85086, HL080295, HL087652, HL053916)
  • Danish Research Council
  • Signe and Ane Gyllenberg Foundation
  • University of Helsinki
  • Ministry of Education
  • Ahokas Foundation
  • Emil Aaltonen Foundation
  • Danish Centre for Health Technology Assessment
  • Research Foundation of Copenhagen County
  • Ministry of Internal Affairs and Health
  • Danish Heart Foundation
  • Danish Pharmaceutical Association
  • Augustinus Foundation
  • Ib Henriksen Foundation
  • Becket Foundation
  • Danish Diabetes Association
  • Social Insurance Institution of Finland
  • Tampere and Turku University Hospital Medical Funds (9M048, 9N035)
  • Juho Vainio Foundation
  • Paavo Nurmi Foundation
  • National Institute of Diabetes and Digestive and Kidney Diseases (DK063491)
  • Novo Nordisk
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
  • Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
Keywords
duration, body mass index, macronutrient intake, dietary saturated fatty acids, dietary carbohydrates, dietary protein, polyunsaturated fatty acids, circadian clock, obesity, gene-environment interaction, age and sex differences, dietary fat intake
MeSH terms
Adult, Energy Intake, Cross-Sectional Studies, Diet, Dietary Proteins, Fatty Acids, Unsaturated, Female, Humans, Male, Middle Aged, Obesity, Sleep, Cohort Studies, Body Mass Index, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, White People, Young Adult, CLOCK Proteins, Gene-Environment Interaction

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.

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