Circadian rhythmicity as a predictor of weight-loss effectiveness
Circadian rhythmicity as a predictor of weight-loss effectiveness
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DOI：
10.1038/ijo.2013.211
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发表时间：
2014-08-01
影响因子：
4.9
通讯作者：
Garaulet, M.
中科院分区：
文献类型：
--
作者：
Bandin, C.;Martinez-Nicolas, A.;Garaulet, M.
目的：与成功的饮食体重管理相关的一些主要挑战包括识别对特定干预措施没有反应的个体。目的是研究体重减轻和昼夜节律之间的潜在关系，使用手腕温度和活动测量，在接受减肥计划的女性中，以评估昼夜节律是否可以作为减肥效果的标志。方法：参与者为85名超重和肥胖女性（身体质量指数，BMI: 30.24 +/- 4.95 kg m(-2)），接受减肥计划。治疗效果定义为总体重减轻、初始体重百分比和每周体重减轻率。使用不同的传感器分析腕部温度、运动和位置的昼夜节律性。结果：较低的体重减轻与更平坦的模式有关，以余弦值测量振幅（r = 0.235, P = 0.032），较高的每日变异性（IV）决定了较高的节律碎片化（r = -0.339, P = 0.002），以及通过昼夜节律功能指数（r = 0.228, P = 0.038）确定的手腕温度昼夜节律受损。进一步的分析表明，低反应者比高反应者表现出更低的幅度（0.71 +/- 0.36 vs 1.24 +/- 0.62, P = 0.036）和更高的昼夜节律碎片化（0.24 +/- 0.11 vs 0.15 +/- 0.07, P = 0.043）。虽然我们没有发现高反应者和低反应者在总活动率上有显著差异，但我们发现高反应者的体位平均值（39.12 +/- 3.791度）与低反应者的体位平均值（35.31 +/- 2.53度，P = 0.01）有显著差异。结论：治疗开始时的昼夜节律是未来体重减轻的良好预测指标。进一步的治疗应考虑时间生物学方面来诊断肥胖和治疗的有效性。
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 +/- 3.791) as compared with low responder women (35.31 +/- 2.53 degrees, 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.