Self-Harm and Suicidal Behaviors in Hong Kong Adolescents: Prevalence and Psychosocial Correlates

Table 6

Logistic regression analyses on participants’ self-harm behavior.

	B	Odds ratio
First block
Age	0.07	1.07	.36
Gender	0.28	1.32	.01
Second block
Immigration status	−0.13	0.88	.33
Family economic status (CSSA)	−0.18	0.83	.37
Parental marital status
Parent_divorced	0.18	1.19	.41
Parent_separated	0.09	1.10	.79
Parent_remarried	0.18	1.20	.47
Parent_others	0.30	1.35	.29
Third block
CFAALL	−0.31	0.73	.00
Fourth block
ASC	−0.23	0.79	.00
CPYDS	−0.33	0.72	.00
Additional analyses^a	B	Odds ratio
Fourth block
ASC	−0.22	0.80	.01
CBC	0.23	1.26	.04
PA	−0.01	0.99	.90
GPYDQ	−0.60	0.55	.00
PIT	0.00	1.00	.97

^aIn additional analyses, four second-order factors of positive youth development (CBC, PA, GPYDQ, and PIT) were used to replace CPYDS in the fourth block of the regression model. Other variables in the regression model and the order of entry were the same as the initial model.
Immigration status: 1 = immigrant from mainland China; 0 = local participant
Family economic status: 1 = receiving comprehensive social security assistance (CSSA); 2 = not receiving CSSA
Parent_divorced: 1 = divorced; 0 = married (first marriage)
Parent_separated: 1 = separated; 0 = married (first marriage)
Parent_remarried: 1 = remarried; 0 = married (first marriage)
Parent_others: 1 = others (not first marriage); 0 = married (first marriage)
CFAIALL = general family interaction; ASC = academic school competence; CPYDS = positive youth development; CBC = cognitive behavioral competence; PA = prosocial attributes; GPYDQ = general positive youth development; PIT = positive and clear identity.