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1.
Fig. (3)

Fig. (3). From: At Odds: Concerns Raised by Using Odds Ratios for Continuous or Common Dichotomous Outcomes in Research on Physical Activity and Obesity.

Odds ratios diverge from prevalence ratios as outcome prevalence in the reference group increases.

Gina S. Lovasi, et al. Open Epidemiol J. ;5:13-17.
2.
Fig. (2)

Fig. (2). From: At Odds: Concerns Raised by Using Odds Ratios for Continuous or Common Dichotomous Outcomes in Research on Physical Activity and Obesity.

Measurement error in a continuous variable affects the proportion exceeding a threshold. Notes: Histograms are shown for body mass index in (A) the 13,102 New York City residents in the years 2000–2002 [], with 28.8% obesity based on the proportion of observations greater than or equal to 30 and (B) a hypothetical set of observations created by adding random error of up to 10 BMI units in either direction, with 37.8% obesity.

Gina S. Lovasi, et al. Open Epidemiol J. ;5:13-17.
3.
Fig. (1)

Fig. (1). From: At Odds: Concerns Raised by Using Odds Ratios for Continuous or Common Dichotomous Outcomes in Research on Physical Activity and Obesity.

Odds ratios commonly reported in active living research. Notes: Box plots indicate the interquartile range (the rectangle is bounded by the 75th and 25th percentiles) and the interdecile range (lines extend to the 90th and 10th percentiles); variation in the distribution is shown for the entire Active Living Research Literature Database [], the subset for which authors had reviewed and confirmed the database entry, and for four commonly reported outcomes: meeting physical activity recommendations, inactivity, overweight, and obesity.

Gina S. Lovasi, et al. Open Epidemiol J. ;5:13-17.

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