【摘 要】
：
Prevalence estimates of obesity are often based on self-reported body mass index (BMI) data due to financial and logistical barriers in obtaining measured BMI data.Given that self-reported BMI data ar
【机 构】
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School of Nursing,Memorial University,Canada Surv
【出 处】
：
2013第三届内分泌与代谢大会暨2013第二届糖尿病大会
论文部分内容阅读
Prevalence estimates of obesity are often based on self-reported body mass index (BMI) data due to financial and logistical barriers in obtaining measured BMI data.Given that self-reported BMI data are prone to bias and error, researchers have recently been encouraged to use correction equations to minimize the bias and error and produce adjusted self-reported BMI estimates that more closely mirror measured BMI results.As obesity correction equations are a relatively new area of research, we present lessons learned in developing and applying correction equations to self-reported BMI data for 17,126 adults in Atlantic Canada.
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