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  • Title: Adjusting divergences between self-reported and measured height and weight in an adult Canadian population.
    Author: Sagna ML, Schopflocher D, Raine K, Nykiforuk C, Plotnikoff R.
    Journal: Am J Health Behav; 2013 Nov; 37(6):841-50. PubMed ID: 24001633.
    Abstract:
    OBJECTIVE: To develop algorithm equations that could be used to adjust self-reported height and weight to elicit better estimates of actual BMI. METHODS: Linear regression analyses were performed to generate equations that could predict actual height and weight from self-reported data collected through telephone interviews on a representative sample of Canadians aged 18 years or older. RESULTS: There were systematic biases in self-reported height and weight, leading to an underestimation of BMI. The application of our calibration equations to self-reported data produced closer estimates to actual rates of overweight and obesity. DISCUSSION: We advocate the use of our correction equation whenever dealing with self-reported height and weight from telephone surveys to avoid potential distortions in estimating obesity prevalence.
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