Traditional and cyberbullying victimization as correlates of psychosocial distress and barriers to a healthy lifestyle among severely obese adolescents – a matched case–control study on prevalence and results from a cross-sectional study

Table 3 Prediction of traditional victimization and cyber-victimization by weight status, controlled for demographic variables

	Odds ratio (95% CI)	Adjusted odds ratio (95% CI)
*Dependent: traditional victimization*
	Model 1	Model 2
Obesity^a	1.665 (0.886-3.132)	1.744 (0.915-3.323)°
Age		0.784 (0.645-0.952)*
Gender (girl)^b		1.039 (0.538-2.005)
Family Affluence (high)^c		0.950 (0.494-1.829)
*Dependent: cybervictimization*
	Model 3	Model 4
Obesity^a	2.436 (0.999-5.938)°	2.547 (1.017-6.379)*
Age		0.647 (0.486-0.861)**
Gender (girl)^b		1.176 (0.474-2.916)
Family Affluence (high)^c		0.702 (0.292-1.688)

°p <.1; *p < .05; **p < .01.
Reference category = 0; ^a0 = normal-weight youth, 1 = obese youth; ^b0 = boy, 1 = girl; ^c0 = low and medium FAS, 1 = high FAS.
Model 1: -2LL = 232.016; Nagelkerke R² = 0.018; Model χ²(1) = 2.539, p = 0.111.
Model 2: -2LL = 224.849; Nagelkerke R² = 0.064; Model χ²(4) = 9.082; p = 0.059.
Model 3: -2LL = 146.886; Nagelkerke R² = 0.038; Model χ²(1) = 4.088; p = 0.043.
Model 4: -2LL = 135.898; Nagelkerke R² = 0.137; Model χ²(4) = 15.076; p = 0.005.

ISSN: 1471-2458