Table 3 Latent Class Analyses models of female adolescents’ lifestyle. Viçosa-MG, Brazil, 2018
From: Evaluation of lifestyle of female adolescents through latent class analysis approach
Tem Manifest Variables: PAL, HPA, TEE, MVPA, Number of steps, ST, CT, Sitting time, FFQ, Number of meals | ||||||||
Class | AIC | BIC | G2 | χ2 | Residual df | p-G2 | p-χ2 | Entropy |
2 | 3666.532 | 3745.666 | 423.1982 | 562.6456 | 299 | 2.8813E-06 | 2.2832E-18 | 0.8568 |
3 | 3639.644 | 3760.231 | 374.3107 | 480.5879 | 288 | 0.0004561 | 7.7335E-12 | 0.8649 |
4 | 3638.019 | 3800.057 | 350.6859 | 455.4848 | 277 | 0.00176593 | 7.358E-11 | 0.9634 |
5 | 3647.572 | 3851.061 | 338.238 | 442.8939 | 266 | 0.00178086 | 5.5058E-11 | 0.9384 |
Five manifest variables: MVPA, Number of steps, ST, Sitting time, Number of meals | ||||||||
Classes | AIC | BIC | G2 | χ2 | Residual df | p-G2 | p -χ2 | Entropy |
2 | 1947.37 | 1988.992 | 20.575704 | 19.3121 | 20 | 0.4224731 | 0.5016259 | 0.3794 |
3a | 1955.54 | 2019.865 | 16.745866 | 13.9849 | 14 | 0.2699738 | 0.4508331 | 0.5635 |
4 | 1958.315 | 2045.343 | 7.520696 | 7.3486 | 8 | 0.4816307 | 0.4995252 | 0.7188 |
5 | 1966.37 | 2076.101 | 3.575722 | 3.5636 | 2 | 0.1673177 | 0.1683342 | 0.6871 |
Covariates | ||||||||
Tobacco | 1951.419 | 2023.312 | 17.88298 | 17.9882 | 12 | 0.11929017 | 0.11604908 | 0.75166 |
bAlcohol | 1952.332 | 2024.224 | 20.64676 | 20.0565 | 12 | 0.05579853 | 0.06602311 | 0.7935 |
Alcohol +Tobacco | 1952.641 | 2032.102 | 18.66259 | 19.5953 | 10 | 0.04476354 | 0.0333205 | 0.5447 |
Age | 1938.599 | 2010.492 | 30.40539 | 25.6985 | 12 | 0.00242546 | 0.01183853 | 0.9891 |
Age + Tobacco | 1926.784 | 2006.244 | 24.72117 | 22.2802 | 10 | 0.00589984 | 0.01373898 | 0.8554 |
Age + Alcohol | 1936.877 | 2016.338 | 27.47129 | 23.3220 | 10 | 0.00219242 | 0.00961824 | 0.8636 |
Age + Alcohol +Tobacco | 1928.754 | 2015.782 | 25.11389 | 22.3723 | 8 | 0.00148695 | 0.00427082 | 0.8620 |