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Table 2 Univariate GEE Logistic Regression Analyses of surveyed practitioners' ability to estimate the weight status of photographed unrelated children and Selected Characteristics of the Photographed Children.

From: Pediatricians' weight assessment and obesity management practices

Photographed Child Characteristics

OR (95% CI) (correct vs. incorrect)

OR (95% CI) (underestimate vs. correct or overestimate)

Age (4–6 years or 10–14 years vs. Infant or Toddler)

8.76 (8.17, 9.39)

0.07 (0.07, 0.08)

Race (white vs. Non-white, non-Hispanic)

0.23 (0.22, 0.24)

0.42 (0.39, 0.46)

Race (Hispanic vs. Non-white, Non-Hispanic)

0.60 (0.56, 0.64)

0.33 (0.30, 0.35)

Sex (Female vs. Male)

1.20 (1.15, 1.26)

1.39 (1.25, 1.55)

Weight Status (Overweight or obese vs. Normal weight or underweight)

0.16 (0.15, 0.17)

143 (116, 176)

  1. Results are presented as odds ratio (95% confidence intervals). Odds ratios represent the odds of participants correctly vs. incorrectly identifying the weight of children according to selected variables.