Latent profiles of mental health literacy among community residents in Nanchang, China

Table 1 Model fit indices for the latent profile analysis of mental health literacy

Model	Log-likelihood	Parameters	AIC	BIC	aBIC	Entropy	BLRT
Class 1	-31500.19	10	63020.38	-63078.49	63046.72	-	-
Class 2	-25529.32	101	51260.65	-51847.53	51526.63	0.975320	P < 0.01
Class 3	-25744.39	146	51780.79	-52629.16	52165.28	0.974046	P < 0.01
Class 4	-25217.48	192	50818.96	-51934.62	51324.59	0.955356	P < 0.01
Class 5	-24305.16	238	49086.31	-50469.27	49713.09	0.970967	P < 0.01
Class 6	-23695.03	284	47958.05	-49608.31	48705.97	0.973029	P < 0.01

The smallest estimable P value was approximately 0.010; therefore, it is reported as P < 0.01 in the table. Entropy and the Bootstrap likelihood ratio test are not applicable to the one-profile model. The Bootstrap likelihood ratio test was estimated using 100 bootstrap samples. AIC: Akaike information criterion; BIC: Bayesian information criterion; aBIC: Sample-size adjusted Bayesian information criterion; BLRT: Bootstrap likelihood ratio test.