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. Author manuscript; available in PMC: 2014 Jun 1.
Published in final edited form as: J Adolesc Health. 2013 Feb 20;52(6):738–744. doi: 10.1016/j.jadohealth.2012.11.016

Table 3.

Prevalence of weight-related behaviors and psychological well-being by self-weighing behaviors among non-overweight and overweight adolescent girls

Behaviors Non-overweight Girls (N=907) Overweight Girls (N=573)

IFW*
(N=784)
FW
(N=123)
PR
(95% CI)#
IFW
(N=487)
FW
(N=86)
PR
(95% CI)#
Follows a diet (%) 29.0 53.4 1.83 (1.50, 2.23) 63.1 91.7 1.43 (1.29, 1.59)
Healthy WCBs (%) (e.g., ate less sweets) 49.7 56.8 1.11 (0.94, 1.32) 72.8 88.1 1.18 (1.07, 1.30)
Unhealthy WCBs (%) (e.g., fasting) 36.1 53.8 1.49 (1.24, 1.80) 63.8 83.3 1.28 (1.13, 1.45)
Extreme WCBs (%) (e.g., used laxatives) 2.9 9.4 3.25 (1.59, 6.64) 9.1 21.4 2.52 (1.53, 4.13)
Binge Eating (%) 7.3 12.9 1.75 (1.04, 2.95) 10.9 18.1 1.58 (0.92, 2.71)
General Muscle-Enhancing Behaviors (%) 62.2 71.2 1.12 (0.99, 1.27) 76.9 86.9 1.13 (1.03, 1.25)
Unhealthy Muscle-Enhancing Behaviors (%) 6.3 12.7 1.89 (1.11, 3.24) 8.5 17.9 2.56 (1.46, 4.48)
Mean (SE) Mean (SE) Mean Diffa
(95% CI)
Mean (SE) Mean (SE) Mean Diffa
(95% CI)
Moderate-to-vigorous activity (hour/wk) 4.3 (0.2) 5.8 (0.4) −0.50 (−1.36, 0.35) 5.1 (0.3) 6.6 (0.5) −1.44 (−2.46, −0.42)
Depressive symptoms 10.5 (0.1) 10.9 (0.3) −0.39 (−0.95, 0.17) 10.8 (0.2) 11.7 (0.4) −0.89 (−1.62, −0.17)
Self-Esteem 18.0 (0.2) 17.3 (0.3) 0.71 (0.00, 1.42) 17.6 (0.2) 15.8 (0.4) 1.77 (0.94, 2.60)
Body Satisfaction 24.6 (0.3) 22.5 (0.7) 2.06 (0.61, 3.52) 17.5 (0.5) 15.1 (0.9) 2.43 (0.64, 4.21)

SE=standard error; PR=prevalence ratio

*

Infrequent self-weighers (IFW)=a few times per month or less; Frequent self-weighers (FW)=weekly or a few times per week or more. Bolded odds ratio (95% CI) and p-values indicates significance (p<0.05)

N’s may be different because of missing data among self-reported behaviors.

#

Poisson regression analyses controlling for age, socio-economic status and race/ethnicity with infrequent self-weighing as reference group.

a

Mean Difference is the beta coefficient from the linear regression analysis.

Linear regression analyses controlling for age, socio-economic status and race/ethnicity.