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The Oxford Brookes basal metabolic rate database – a reanalysis

机译：牛津布鲁克斯基础代谢率数据库–重新分析

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ObjectiveTo produce prediction equations for basal metabolic rate (BMR) derived from weight and height covering the age range from birth to old age.DesignCross-sectional data on BMR, sex, age, weight, height, ethnicity and measurement technique from the Oxford Brookes BMR database.SettingWorldwide.SubjectsData for 13 910 men, women and children from 174 papers published between 1914 and 2001.ResultsAbsolute and proportional regression models were developed for each sex, showing a steep rise in predicted BMR with age until 15 years, more pronounced in males than females, then a gradual fall through adulthood. Predicted BMR increased by 6% and 1.4%, respectively, per standard deviation increase in weight and height. Predicted BMR in Caucasians was 4% higher than in non-Caucasians, though the effect size was sensitive to the inclusion or exclusion of data from certain influential publications. The effect of measurement technique on BMR, closed-circuit versus open-circuit, was small, near 1%.ConclusionsIt is possible to develop prediction equations that avoid splitting the data into arbitrary age groups. Heterogeneity between publications is greater than might be expected by chance, probably due to undocumented differences in technique.
机译：目的从体重和身高得出从出生到老年的基础代谢率（BMR）的预测方程式.Oxford Brookes BMR的BMR横断面数据，性别，年龄，体重，身高，种族和测量技术从1914年至2001年发表的174篇论文中的13910名男女儿童数据。结果针对每种性别建立了绝对和比例回归模型，显示预测的BMR随年龄增长到15岁时急剧上升，在男性中更为明显。比女性多，到成年后逐渐下降。体重和身高每增加标准偏差，预计BMR分别增加6％和1.4％。尽管影响大小对某些有影响力出版物的数据纳入或排除敏感，但白种人的预测BMR比非高加索人高4％。测量技术对BMR（闭路与开路）的影响很小，接近1％。结论可以建立避免将数据分成任意年龄组的预测方程。出版物之间的异质性大于偶然的预期，这可能是由于技术上未记录的差异所致。

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