Factors Associated With Tracking of BMI: A Meta-Regression Analysis on BMI Tracking
Factors Associated With Tracking of BMI: A Meta-Regression Analysis on BMI Tracking
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DOI：
10.1038/oby.2010.250
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发表时间：
2011-05-01
期刊：
影响因子：
6.9
通讯作者：
Toschke, Andre M.
中科院分区：
文献类型：
--
作者：
Bayer, Otmar;Krueger, Helia;Toschke, Andre M.
稳定跟踪身体成分是针对肥胖及其有害影响的预防措施取得长期效果的先决条件。由于各个研究报告的 BMI 跟踪估计值差异很大，我们进行了荟萃回归分析，以提供汇总估计值并评估 BMI 跟踪的决定因素。使用 Medline 和 EMBASE 数据库进行系统评价，以确定报告相关系数的出版物，作为基线 BMI 和后续测量值之间的跟踪估计值以及这些测量值之间的时间间隔。记录的其他信息包括基线测量的年龄、性别和研究人群的起源。根据提取的数据，使用混合效应模型进行元回归分析，以解释同一队列的多次测量。从 48 份出版物中提取的 55,072 人（797,094 人年）的数据进入分析，随访时间在 0.5 至 44 年之间。 1 年跟踪相关系数的总体估计值很强（r = 0.78-0.86，取决于基线测量时的年龄），并随着时间的推移逐渐下降（10 年后为 0.67-0.78，30 年后为 0.27-0.47）。按大陆分类的研究来源是 BMI 追踪的另一个重要预测因素，而性别则不是。总之，这项荟萃回归分析显示，在所有调查的年龄组中，BMI 都有高度跟踪，且与 BMI 无关。成功的体重控制预防可能会对任何年龄段产生长期影响，从而有益于降低体重过重和体重过轻的相关风险。
Stable tracking of body composition is a prerequisite for the long-term effect of preventive measures against obesity and its harmful effects. As BMI tracking estimates reported by individual studies vary considerably, we performed a meta-regression analysis to provide a summary estimate and to assess determinants of BMI tracking. Using the Medline and EMBASE databases, a systematic review was conducted to identify publications reporting correlation coefficients as tracking estimates between BMI at baseline and follow-up measurements and the time interval between these measurements. Additional information recorded included age at baseline measurement, gender, and origin of the studied population. Based on the extracted data, a meta-regression analysis was performed using mixed effects models to account for multiple measurements of the same cohorts. Data on 55,072 individuals (797,094 person-years) extracted from 48 publications with follow-up times between 0.5 and 44 years entered the analysis. The overall estimates for the 1-year tracking correlation coefficient were strong (r = 0.78-0.86 depending on age at baseline measurement) and gradually decreasing over time (0.67-0.78 after 10 years, and 0.27-0.47 after 30 years). Study origin classified by continent was another significant predictor of BMI tracking whereas gender was not. In conclusion, this meta-regression analysis showed a high degree of BMI tracking across all age groups investigated and independent of BMI. Successful prevention in weight control is likely to have long-term effects at any age, thereby being beneficial with respect to the associated risks of over-and underweight.