Dance Addiction Inventory item means per DAI class.

<p>Dance Addiction Inventory item means per DAI class.</p

Latent class means across variables.

<p>Latent class means across variables.</p

Latent class differences regarding demographic variables, mental health, body image and eating disorder symptoms.

<p>Note: The Class cells (1–5) contain the mean and standard deviation (SD) of the corresponding variable in the row.</p><p>Superscript numbers (^{1, 2, 3, 4, 5}) reflect significant (p < 0.05) difference between the mean of the given class (indexed cell) and the mean of the class given in the index—within the same variable (row)—according to Wald χ² test of mean equity for latent class predictors; r = correlation coefficient, t = independent sample t-test value, F = ANOVA value.</p><p>⁺p<0.1</p><p>*p<0.05</p><p>**p<0.01</p><p>***p<0.001</p><p>BPD = Borderline personality disorder, BMI = Body Mass Index.</p><p>^¥Education was coded as university (= 4), high school (= 3), vocational (= 2) and lower than 12 classes (= 1)</p><p>Latent class differences regarding demographic variables, mental health, body image and eating disorder symptoms.</p

Fit indices for the latent class and CFA factor mixture modeling.

<p>Note: CFA = Confirmatory Factor Analysis; AIC = Akaike Information Criteria; BIC = Bayesian Information Criteria; SSABIC = Sample size adjusted BIC. LMR test = Lo-Mendell-Rubin adjusted likelihood ratio test value; p = p-value associated with LMR test.</p><p>Lower BIC, AIC, SSABIC and LMR values indicate better fit of the model and higher entropy indicates better classification quality. The most appropriate class solution is in bold. Based on the fit indices, latent classes were formed based on the results of the latent class analysis rather than CFA factor mixture modeling.</p><p>Fit indices for the latent class and CFA factor mixture modeling.</p