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Title: Circadian rhythmicity as a predictor of weight-loss effectiveness

Author
item BANDÍN, CARLOS - Universidad De Murcia
item MARTINEZ-NICOLAS, ANTONIO - Universidad De Murcia
item ORDOVAS, JOSE - Jean Mayer Human Nutrition Research Center On Aging At Tufts University
item MADRID, JUAN - Universidad De Murcia
item GARAULET, MARTA - Universidad De Murcia

Submitted to: International Journal of Obesity
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 11/3/2013
Publication Date: 12/17/2013
Citation: Bandín, C., Martinez-Nicolas, A., Ordovas, J.M., Madrid, J.A., Garaulet, M. 2013. Circadian rhythmicity as a predictor of weight-loss effectiveness. International Journal of Obesity. DOI: 10.1038/ijo.2013.211.

Interpretive Summary: 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. A circadian rhythm is any biological process that displays an internally regulated, repetitive variation of time of about 24 hours. A circadian (or biological) clock drives this rhythm. There are also clear patterns of core body temperature, brain wave activity, hormone production, cell regeneration and other biological activities. We have previously shown that variation at the CLOCK (Circadian Locomotor Output Cycles Kaput) is related to with lifestyle-related conditions such as obesity, metabolic syndrome (MetS) and cardiovascular diseases. We used 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. Participants were 85 overweight and obese women 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. Our results show that less weight loss was related with a more flattened pattern, a higher fragmentation of rhythms and an impaired wrist temperature circadian rhythm. In summary, 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.

Technical Abstract: 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. Participants were 85 overweight and obese women (body mass index, BMI: 30.24+/-4.95'kg'm**-1) 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. 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 degrees) as compared with low responder women (35.31+/-2.53degrees, P=0.01). 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.