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. Author manuscript; available in PMC: 2014 Nov 1.
Published in final edited form as: Obesity (Silver Spring). 2013 Oct 16;22(5):E149–E156. doi: 10.1002/oby.20618

Table 4.

Predicted probabilities for being in a defined BMI category (normal weight, overweight, obese) based on multinomial regression in the 1940 cohort of men who “Eat Just What I Want,” Dallas, Texas, 1970-2006 (men = 8,885; observations = 17,304)

PA Level Normal Weight Overweight Obese

Age Pred.
Prob.
95% CIa Pred.
Prob.
95% CIa Pred.
Prob.
95% CIa
Inactive 30 0.77 0.81, 0.71 0.22 0.18, 0.27 0.02 0.01, 0.02
50 0.45 0.48, 0.42 0.46 0.43, 0.48 0.09 0.08, 0.10
70 0.15 0.20, 0.11 0.54 0.53, 0.54 0.31 0.27, 0.35
Moderate 30 0.82 0.85, 0.77 0.17 0.14, 0.21 0.01 0.01, 0.01
50 0.56 0.59, 0.54 0.39 0.37, 0.40 0.05 0.05, 0.06
70 0.25 0.30, 0.21 0.55 0.53, 0.57 0.19 0.17, 0.22
High 30 0.87 0.89, 0.83 0.13 0.10, 0.16 0.00 0.00, 0.01
50 0.66 0.68, 0.64 0.31 0.29, 0.33 0.03 0.02, 0.03
70 0.35 0.41, 0.29 0.52 0.48, 0.54 0.14 0.11, 0.17
a

The 95% confidence intervals are based on robust, cluster, sandwich estimator for the standard error.

BMI, body mass index, PA, physical activity; Pred. Prob., predictive probability; CI, confidence interval.