Cited by 61Circadian rhythm and melatoninSleep and related disordersSleep and Work-Related Fatigue

Circadian rhythmicity as a predictor of weight-loss effectiveness

Bandín, C, Martinez-Nicolas, A, Ordovás, J M, Madrid, J A, Garaulet, M·2014·International Journal of Obesity

Abstract

Objectives Some of the major challenges associated with successful dietary weight management include the identification of individuals not responsive to specific interventions. The aim was to investigate the potential relationship between weight loss and circadian rhythmicity, using wrist temperature and actimetry measurements, in women undergoing a weight-loss program, in order to assess whether circadian rhythmicity could be a marker of weight-loss effectiveness.Methods Participants were 85 overweight and obese women (body mass index, BMI: 30.24±4.95 kg m(-2)) subjected to a weight-reduction program. Efficacy of the treatment was defined as total weight loss, percentage of initial weight and weekly weight loss rates. Circadian rhythmicity in wrist temperature motor activity and position were analyzed using different sensors.Results Lower weight loss was related with a more flattened pattern measured as amplitude from cosinor (r=0.235, P=0.032), a higher fragmentation of rhythms determined by higher intradaily variability (IV) (r=-0.339, P=0.002), and an impaired wrist temperature circadian rhythm determined by the means of Circadian Function Index (r=0.228, P=0.038). Further analyses showed that low responders displayed lower amplitude (0.71±0.36 versus 1.24±0.62, P=0.036) and higher fragmentation of the circadian rhythm (0.24±0.11 versus 0.15±0.07, P=0.043) than high responders. Whereas we did not find significant differences in total activity rates between high responders and low responders, we found significant differences for the mean values of body position for high responders (39.12±3.79°) as compared with low responder women (35.31±2.53°, P=0.01).Conclusions Circadian rhythms at the beginning of the treatment are good predictors of future weight loss. Further treatment should consider chronobiological aspects to diagnose obesity and effectiveness of treatments.

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Crossref · 10.1038/ijo.2013.211

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References 31 · Cited by 61

Authors
Bandín, C., Martinez-Nicolas, A., Ordovás, J. M., Madrid, J. A., & Garaulet, M.
Affiliations
  • Universidad de Murcia (ES)
  • Madrid Institute for Advanced Studies (ES)
Corresponding author
Garaulet, M
Venue
International Journal of Obesity
Published
2013-11-15
Volume
38
Issue
8
Pages
1083-1088
ISSN
  • 0307-0565 (ISSN-L)
  • 1476-5497
OpenAlex
W2031465780
Cited by
61
References
31
Citations by year
2025: 3 · 2024: 1 · 2023: 6 · 2022: 7 · 2021: 6 · 2020: 4 · 2019: 4 · 2018: 1 · 2017: 8 · 2016: 8 · 2015: 5 · 2014: 8
FWCI
3.77
Type
journal article
Language
en
Open access
closed
Locations
  • International Journal of Obesity (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
Keywords
circadian rhythm, weight loss, obesity, overweight women, wrist temperature, actigraphy, intradaily variability, treatment response prediction, chronobiology, posture
MeSH terms
Adult, Behavior Therapy, Body Temperature, Circadian Rhythm, Female, Humans, Motor Activity, Obesity, Predictive Value of Tests, Spain, Wrist, Weight Loss, Body Mass Index, Treatment Outcome, Diet, Mediterranean, Weight Reduction Programs

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