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Utility of the SenseWear Pro 3 armband monitor and the Weight Management System for evaluating energy balance in adults

机译:SenseWear Pro 3臂环监护仪和体重管理系统可用于评估成年人的能量平衡

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摘要

The progression of the obesity epidemic stems directly from the inability of individuals to achieve a balance between energy expenditure (EE) and energy intake (EI). To enhance research on obesity prevention it is important to develop and validate instruments that can facilitate monitoring of energy balance (EB) under free-living conditions. The SenseWear Pro 3 armband (SWA) monitor and associated weight management system (WMS) offer promise as a non-invasive method suitable for energy balance research. The primary purpose of the study was to evaluate the utility of the SWA and WMS to assess EB during a week of free-living activity. A total of 68 healthy adult participants (31 male and 37 female) wore the SWA monitor for a week while recording a detailed 7-day dietary food record. Estimates of EE were obtained directly from the SWA software. Estimates of EI were obtained by entering the dietary food records into both the Nutritionist Pro and the SenseWear WMS dietary assessment systems. The estimated EB (EI-EE) was compared with the observed EB (obtained from fasted weight measures taken at the beginning and ending of the study). Differences in EB values (observed - estimated) were statistically tested using standard t-tests. A secondary purpose was to compare the assessed EI between Nutritionist Pro and SenseWear WMS. A mixed model analyses of variance was used to evaluate the difference between EI values as well as macronutrient intakes of carbohydrate, fat, and protein. Results indicated that participants lost weight during the week long protocol (mean weight loss = -0.5 y 1.6 lbs) without an apparent intention to lose weight. Similarly, estimated EB was significantly different than zero, indicating a negative EB (weight loss). Difference in weight difference (observed - estimated) was positive (difference = 0.9 lbs y 2.0), indicating a significant overestimation of weight loss (p \u3c 0.001). Supplemental analyses indicated that individuals completing more detailed dietary records had a significantly higher weight loss than those providing less detailed records. More interestingly, individuals providing high quality dietary records had a small (non-significant) average EB difference (difference = -0.03 y 1.4 lbs, p = 0.09) while individuals providing poor quality records had large EB differences (difference = 2.0 y 1.0 lbs, p \u3c 0.001). Collectively, this suggested that the estimates of EB from the WMS are accurate when participants provided detailed dietary records. Correlations between nutrient intake (EI, protein, carbohydrate, and fat) assessments (SenseWear WMS vs. Nutritionist Pro) were high for all comparisons (range: r = 0.93 to 0.99). The estimates of EI from the two dietary assessment systems were not significantly different (p = 0.07) and the gender by method interaction was also not significant (p = 0.32). Similar results were noted for macronutrient comparisons; however, a significant gender by method interaction was evident for protein (p = 0.048). In conclusion, the SWA monitor with its integrated WMS demonstrated promising attributes for assessing EB in free-living individuals.Key Words: activity monitors, energy balance assessment, dietary assessment system
机译:肥胖流行病的发展直接源于个人无力实现能量消耗(EE)和能量摄入(EI)之间的平衡。为了加强对肥胖症预防的研究,重要的是开发和验证可促进在自由生活条件下监测能量平衡(EB)的仪器。 SenseWear Pro 3臂带(SWA)监视器和相关的体重管理系统(WMS)提供了一种有望作为一种适合能量平衡研究的非侵入性方法。该研究的主要目的是评估自由活动一周内SWA和WMS评估EB的效用。总共68位健康的成年人参与者(男性31位,女性37位)戴着SWA监测仪一周,同时记录了详细的7天饮食食物记录。 EE的估计值直接从SWA软件获得。 EI的估算是通过将膳食食品记录输入到Nutritionist Pro和SenseWear WMS膳食评估系统中来获得的。将估计的EB(EI-EE)与观察到的EB(从研究开始和结束时通过禁食体重测量获得)进行比较。使用标准t检验对EB值的差异(观察到的-估计的)进行统计检验。第二个目的是比较Nutritionist Pro和SenseWear WMS之间评估的EI。使用方差的混合模型分析来评估EI值以及碳水化合物,脂肪和蛋白质的大量营养素摄入之间的差异。结果表明,参与者在为期一周的实验中减肥(平均体重减轻= -0.5 y 1.6磅),而没有明显的减肥意图。同样,估计的EB与零显着不同,表明EB为负(体重减轻)。体重差异(观察到的-估计的)差异为正(差异= 0.9磅y = 2.0),表明体重减轻明显过高(p \ u3c 0.001)。补充分析表明,与提供较少饮食记录的人相比,完成更详细饮食记录的人的体重减轻明显更高。更有趣的是,提供高质量饮食记录的个体的平均EB差异很小(不显着)(差异= -0.03 y 1.4 lbs,p = 0.09),而提供高质量饮食记录的个体的EB差异较大(差异= 2.0 y 1.0 lbs) ,p \ u3c 0.001)。总体而言,这表明当参与者提供详细的饮食记录时,来自WMS的EB估算值是准确的。在所有比较中,营养摄入(EI,蛋白质,碳水化合物和脂肪)评估(SenseWear WMS与Nutritionist Pro)之间的相关性很高(范围:r = 0.93至0.99)。来自两个饮食评估系统的EI估计值无显着差异(p = 0.07),并且通过方法相互作用的性别也无显着差异(p = 0.32)。大量营养素的比较结果相似。但是,通过蛋白质相互作用的性别差异明显(p = 0.048)。总之,SWA监测器及其集成的WMS展示了评估自由生活者EB的有希望的属性。关键词:活动监测器,能量平衡评估,饮食评估系统

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    Mcguire, Annette Sarah;

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  • 年度 2010
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