Related Experiment Video
Updated: May 8, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
The correlation between self-reported and measured height, weight, and BMI in reproductive age women
Lauren W Roth1, Amanda A Allshouse, Jennifer Lesh
1Division of Reproductive Endocrinology and Infertility, University of Colorado, Denver, Colorado, United States. lauren.roth@ucdenver.edu
This prospective, cross-sectional study of 60 women compares self-reported height, weight, and BMI with measured values. Self-reported BMI (29.0±8.37 kg/m(2)) was slightly lower than measured BMI (29.1±8.38 kg/m(2)) (p=0.4). Eighty percent of participants reported a BMI in the same category in which their BMI was measured. Pearson's correlation coefficient for height (0.96, p<0.001), weight (0.99, p<0.001), and BMI (0.99, p<0.001) were high. Reproductive age women accurately reported their height and weight.
This prospective, cross-sectional study of 60 women compares self-reported height, weight, and BMI with measured values. Self-reported BMI (29.0±8.37 kg/m(2)) was slightly lower than measured BMI (29.1±8.38 kg/m(2)) (p=0.4). Eighty percent of participants reported a BMI in the same category in which their BMI was measured. Pearson's correlation coefficient for height (0.96, p<0.001), weight (0.99, p<0.001), and BMI (0.99, p<0.001) were high. Reproductive age women accurately reported their height and weight.
Related Concept Videos
Coefficient of Correlation
If you suspect a linear relationship between x and y, then r can measure how strong the linear relationship is.
What the VALUE of r tells us:
The value of r is always between –1 and +1: –1 ≤ r ≤ 1.
The size of the correlation r indicates the strength of the linear...
Regression Toward the Mean
Correlations
Two-Way ANOVA
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the means for...
Self-Discrepancy and Its Effects
Calculating and Interpreting the Linear Correlation Coefficient