Evidence map›Paper›PMID 24232497›Full record

ArticleInternational journal of obesity (2005)2014

Circadian rhythmicity as a predictor of weight-loss effectiveness.

C Bandín, A Martinez-Nicolas, J M Ordovás, J A Madrid, M Garaulet

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in International journal of obesity (2005), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02829619 (Meal Timing, Genetics and Weight Loss in a Mediterranean Population), which is not on this map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02829619 recruitingnot on this map

Meal Timing, Genetics and Weight Loss in a Mediterranean Population

TypeobservationalSponsorUniversidad de MurciaRan2008 to 2032Enrolled5,788ConditionsObesity
3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Observational
  7. Review
  8. Chrono-Nutrition: Circadian Rhythm and Personalized Nutrition.International journal of molecular sciences · 2023
    Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Association of Daily Rest-Activity Patterns With Adiposity and Cardiometabolic Risk Measures in Teens.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2019
    Article
  17. Obesity in Women: Insights for the Clinician.Journal of women's health (2002) · 2018
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

C BandínFaculty of Biology, Department of Physiology, University of Murcia, Murcia, Spain.
A Martinez-NicolasFaculty of Biology, Department of Physiology, University of Murcia, Murcia, Spain.
J M Ordovás1] Nutrition and Genomics Laboratory, Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA [2] Department of Epidemiology, Centro Nacional Investigaciones Cardiovasculares, Madrid, Spain [3] Madrid Institute for Advanced Studies in Food (IMDEA-FOOD), Madrid, Spain.
J A MadridFaculty of Biology, Department of Physiology, University of Murcia, Murcia, Spain.
M GarauletFaculty of Biology, Department of Physiology, University of Murcia, Murcia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSome 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.

methodsParticipants 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.

resultsLower 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).

conclusionsCircadian 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.

Indexed as

Body TemperatureCircadian RhythmMotor ActivityWeight LossWeight Reduction ProgramsWristAdultBehavior TherapyBody Mass IndexDiet, MediterraneanFemaleHumansObesityPredictive Value of TestsSpainTreatment Outcome

Identifiers

PMID24232497

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.