Literature DB >> 21721858

Differences in daily rhythms of wrist temperature between obese and normal-weight women: associations with metabolic syndrome features.

M D Corbalán-Tutau1, J A Madrid, J M Ordovás, C E Smith, F Nicolás, M Garaulet.   

Abstract

The circadian rhythm of core body temperature is associated with widespread physiological effects. However, studies with other more practical temperature measures, such as wrist (WT) and proximal temperatures, are still scarce. The aim of this study was to investigate whether obesity is associated with differences in mean WT values or in its daily rhythmicity patterns. Daily patterns of cortisol, melatonin, and different metabolic syndrome (MetS) features were also analyzed in an attempt to clarify the potential association between chronodisruption and MetS. The study was conducted on 20 normal-weight women (age: 38 ± 11 yrs and BMI: 22 ± 2.6 kg/m(2)) and 50 obese women (age: 42 ± 10 yrs and BMI: 33.5 ± 3.2 kg/m(2)) (mean ± SEM). Skin temperature was measured over a 3-day period every 10 min with the "Thermochron iButton." Rhythmic parameters were obtained using an integrated package for time-series analysis, "Circadianware." Obese women displayed significantly lower mean WT (34.1°C ± 0.3°C) with a more flattened 24-h pattern, a lower-quality rhythm, and a higher intraday variability (IV). Particularly interesting were the marked differences between obese and normal-weight women in the secondary WT peak in the postprandial period (second-harmonic power [P2]), considered as a marker of chronodisruption and of metabolic alterations. WT rhythmicity characteristics were related to MetS features, obesity-related proteins, and circadian markers, such as melatonin. In summary, obese women displayed a lower-quality WT daily rhythm with a more flattened pattern (particularly in the postprandial period) and increased IV, which suggests a greater fragmentation of the rest/activity rhythm compared to normal-weight women. These 24-h changes were associated with higher MetS risk.

Entities:  

Mesh:

Year:  2011        PMID: 21721858      PMCID: PMC4372336          DOI: 10.3109/07420528.2011.574766

Source DB:  PubMed          Journal:  Chronobiol Int        ISSN: 0742-0528            Impact factor:   2.877


  58 in total

1.  [SEEDO 2007 Consensus for the evaluation of overweight and obesity and the establishment of therapeutic intervention criteria].

Authors:  Jordi Salas-Salvadó; Miguel A Rubio; Montserrat Barbany; Basilio Moreno
Journal:  Med Clin (Barc)       Date:  2007-02-10       Impact factor: 1.725

Review 2.  Cancer chronomics III. Chronomics for cancer, aging, melatonin and experimental therapeutics researchers.

Authors:  Franz Halberg; Germaine Cornélissen; Waldemar Ulmer; Mikhail Blank; William Hrushesky; Patricia Wood; Rajesh K Singh; Zhengrong Wang
Journal:  J Exp Ther Oncol       Date:  2006

Review 3.  The crosstalk between physiology and circadian clock proteins.

Authors:  David Duguay; Nicolas Cermakian
Journal:  Chronobiol Int       Date:  2009-12       Impact factor: 2.877

Review 4.  Chronomedical aspects of oncology and geriatrics.

Authors:  G Cornélissen; D Gubin; F Halberg; G Milano; F Halberg
Journal:  In Vivo       Date:  1999 Jan-Feb       Impact factor: 2.155

5.  Sagittal abdominal diameter.

Authors:  H S Kahn; D F Williamson
Journal:  Int J Obes Relat Metab Disord       Date:  1993-11

6.  Contribution of the circadian pacemaker and the sleep homeostat to sleep propensity, sleep structure, electroencephalographic slow waves, and sleep spindle activity in humans.

Authors:  D J Dijk; C A Czeisler
Journal:  J Neurosci       Date:  1995-05       Impact factor: 6.167

7.  Circadian rhythm of wrist temperature in normal-living subjects A candidate of new index of the circadian system.

Authors:  J A Sarabia; M A Rol; P Mendiola; J A Madrid
Journal:  Physiol Behav       Date:  2008-08-12

Review 8.  Marker rhythms for cancer chronotherapy. From laboratory animals to human beings.

Authors:  C Focan
Journal:  In Vivo       Date:  1995 Jul-Aug       Impact factor: 2.155

9.  Transcutaneous electrical nerve stimulation (TENS) improves circadian rhythm disturbances in Alzheimer disease.

Authors:  E J Van Someren; E J Scherder; D F Swaab
Journal:  Alzheimer Dis Assoc Disord       Date:  1998-06       Impact factor: 2.703

Review 10.  Adiponectin, the controversial hormone.

Authors:  Marta Garaulet; Juan J Hernández-Morante; Fátima Pérez de Heredia; Francisco J Tébar
Journal:  Public Health Nutr       Date:  2007-10       Impact factor: 4.022

View more
  25 in total

1.  Revisiting chronodisruption: when the physiological nexus between internal and external times splits in humans.

Authors:  Thomas C Erren; Russel J Reiter
Journal:  Naturwissenschaften       Date:  2013-03-14

2.  Meal timing affects glucose tolerance, substrate oxidation and circadian-related variables: A randomized, crossover trial.

Authors:  C Bandín; F A J L Scheer; A J Luque; V Ávila-Gandía; S Zamora; J A Madrid; P Gómez-Abellán; M Garaulet
Journal:  Int J Obes (Lond)       Date:  2014-10-14       Impact factor: 5.095

3.  Actigraphy-Derived Daily Rest-Activity Patterns and Body Mass Index in Community-Dwelling Adults.

Authors:  Elizabeth M Cespedes Feliciano; Mirja Quante; Jia Weng; Jonathan A Mitchell; Peter James; Catherine R Marinac; Sara Mariani; Susan Redline; Jacqueline Kerr; Suneeta Godbole; Alicia Manteiga; Daniel Wang; J Aaron Hipp
Journal:  Sleep       Date:  2017-12-01       Impact factor: 5.849

4.  Physical activity, and not fat mass is a primary predictor of circadian parameters in young men.

Authors:  Hannah R Tranel; Elizabeth A Schroder; Jonathan England; W Scott Black; Heather Bush; Michael E Hughes; Karyn A Esser; Jody L Clasey
Journal:  Chronobiol Int       Date:  2015-06-23       Impact factor: 2.877

5.  Circadian rhythmicity as a predictor of weight-loss effectiveness.

Authors:  C Bandín; A Martinez-Nicolas; J M Ordovás; J A Madrid; M Garaulet
Journal:  Int J Obes (Lond)       Date:  2013-11-15       Impact factor: 5.095

6.  Timing of food intake predicts weight loss effectiveness.

Authors:  M Garaulet; P Gómez-Abellán; J J Alburquerque-Béjar; Y-C Lee; J M Ordovás; F A J L Scheer
Journal:  Int J Obes (Lond)       Date:  2013-01-29       Impact factor: 5.095

7.  Evening physical activity alters wrist temperature circadian rhythmicity.

Authors:  Patricia Rubio-Sastre; Purificación Gómez-Abellán; Antonio Martinez-Nicolas; José María Ordovás; Juan Antonio Madrid; Marta Garaulet
Journal:  Chronobiol Int       Date:  2013-10-30       Impact factor: 2.877

8.  Is propensity to obesity associated with the diurnal pattern of core body temperature?

Authors:  P I Hynd; V H Czerwinski; T J McWhorter
Journal:  Int J Obes (Lond)       Date:  2013-06-13       Impact factor: 5.095

9.  Differences in circadian rhythmicity in CLOCK 3111T/C genetic variants in moderate obese women as assessed by thermometry, actimetry and body position.

Authors:  C Bandín; A Martinez-Nicolas; J M Ordovás; J A Ros Lucas; P Castell; T Silvente; J A Madrid; M Garaulet
Journal:  Int J Obes (Lond)       Date:  2012-11-20       Impact factor: 5.095

10.  Blunted rest-activity rhythms link to higher body mass index and inflammatory markers in children.

Authors:  Jingyi Qian; Nuria Martinez-Lozano; Asta Tvarijonaviciute; Rafael Rios; Frank A J L Scheer; Marta Garaulet
Journal:  Sleep       Date:  2021-05-14       Impact factor: 5.849

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.