You are here
Habitual sleep duration is associated with BMI and macronutrient intake and may be modified by CLOCK genetic variants.
Wednesday,2015-03-04 14:25 America/Los_Angeles — zdrager
| Title | Habitual sleep duration is associated with BMI and macronutrient intake and may be modified by CLOCK genetic variants. |
| Publication Type | Journal Article |
| Year of Publication | 2015 |
| Authors | Dashti, HS, Follis, JL, Smith, CE, Tanaka, T, Cade, BE, Gottlieb, DJ, Hruby, A, Jacques, PF, Lamon-Fava, S, Richardson, K, Saxena, R, Scheer, FAJL, Kovanen, L, Bartz, TM, Perälä, M-M, Jonsson, A, Frazier-Wood, AC, Kalafati, I-P, Mikkilä, V, Partonen, T, Lemaitre, RN, Lahti, J, Hernandez, DG, Toft, U, W Johnson, C, Kanoni, S, Raitakari, OT, Perola, M, Psaty, BM, Ferrucci, L, Grarup, N, Highland, HM, Rallidis, L, Kähönen, M, Havulinna, AS, Siscovick, DS, Räikkönen, K, Jørgensen, T, Rotter, JI, Deloukas, P, Viikari, JSA, Mozaffarian, D, Linneberg, A, Seppälä, I, Hansen, T, Salomaa, V, Gharib, SA, Eriksson, JG, Bandinelli, S, Pedersen, O, Rich, SS, Dedoussis, G, Lehtimäki, T, Ordovas, JM |
| Journal | Am J Clin Nutr |
| Volume | 101 |
| Issue | 1 |
| Pagination | 135-43 |
| Date Published | 2015 Jan |
| ISSN | 1938-3207 |
| Keywords | Adult, Body Mass Index, CLOCK Proteins, Cohort Studies, Cross-Sectional Studies, Diet, Dietary Proteins, Energy Intake, European Continental Ancestry Group, Fatty Acids, Unsaturated, Female, Gene-Environment Interaction, Genetic Predisposition to Disease, Humans, Male, Middle Aged, Obesity, Polymorphism, Single Nucleotide, Sleep, Young Adult |
| Abstract | <p><b>BACKGROUND: </b>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.</p><p><b>OBJECTIVES: </b>We examined associations between habitual sleep duration, body mass index (BMI), and macronutrient intake and assessed whether CLOCK variants modify these associations.</p><p><b>DESIGN: </b>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.</p><p><b>RESULTS: </b>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.</p><p><b>CONCLUSIONS: </b>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.</p> |
| DOI | 10.3945/ajcn.114.095026 |
| Alternate Journal | Am. J. Clin. Nutr. |
| PubMed ID | 25527757 |
| PubMed Central ID | PMC4266883 |
| Grant List | 263 MD 821336 / MD / NIMHD NIH HHS / United States 263 MD 9164 / MD / NIMHD NIH HHS / United States AG023629 / AG / NIA NIH HHS / United States HHSN268200800007C / / PHS HHS / United States HHSN268201200036C / / PHS HHS / United States HL053916 / HL / NHLBI NIH HHS / United States HL080295 / HL / NHLBI NIH HHS / United States HL087652 / HL / NHLBI NIH HHS / United States HL105756 / HL / NHLBI NIH HHS / United States K08 HL112845 / HL / NHLBI NIH HHS / United States K08 HL112845-01 / HL / NHLBI NIH HHS / United States L60 MD003562 / MD / NIMHD NIH HHS / United States N01-HC-25195 / HC / NHLBI NIH HHS / United States N01-HC-95159 / HC / NHLBI NIH HHS / United States N01-HC-95160 / HC / NHLBI NIH HHS / United States N01-HC-95161 / HC / NHLBI NIH HHS / United States N01-HC-95162 / HC / NHLBI NIH HHS / United States N01-HC-95164 / HC / NHLBI NIH HHS / United States N01-HC-95165 / HC / NHLBI NIH HHS / United States N01-HC-95166 / HC / NHLBI NIH HHS / United States N01-HC-95167 / HC / NHLBI NIH HHS / United States N01-HC-95168 / HC / NHLBI NIH HHS / United States N01-HC-95169 / HC / NHLBI NIH HHS / United States N01-HC95163 / HC / NHLBI NIH HHS / United States N01HC55222 / HC / NHLBI NIH HHS / United States N01HC85079 / HC / NHLBI NIH HHS / United States N01HC85080 / HC / NHLBI NIH HHS / United States N01HC85081 / HC / NHLBI NIH HHS / United States N01HC85082 / HC / NHLBI NIH HHS / United States N01HC85083 / HC / NHLBI NIH HHS / United States N01HC85086 / HC / NHLBI NIH HHS / United States N02 HL-6-4278 / HL / NHLBI NIH HHS / United States P30 DK063491 / DK / NIDDK NIH HHS / United States R01 HL094806 / HL / NHLBI NIH HHS / United States R21 DK089378 / DK / NIDDK NIH HHS / United States RR-024156 / RR / NCRR NIH HHS / United States UL1 TR000124 / TR / NCATS NIH HHS / United States UL1TR000124 / TR / NCATS NIH HHS / United States |