Clustering effects of health risk behavior on mental health and physical activity in Chinese adolescents

Table 2 Factor analysis of risk behaviors

	Factor1	Factor 2	Factor 3	Factor4	Factor5
Watch TV	0.72
Play video or computer games	0.6
Use smart phone	0.42
Use iPad	0.38
At least one drink of alcohol		0.81
Age of first drink of alcohol		0.72
Ride in a car with somebody drinking alcohol		0.64
At least one drink of alcohol		0.61
Tried cigarette smoking			0.79
Age when first tried cigarette smoking			−0.79
Days of cigarettes smoking			0.66
Number of cigarettes each day			0.65
Electronically bullied				0.73
Feel sad or hopeless				0.68
Bullied in school				0.66
At least exercise 60 min per day					0.72
Physical education class					0.66
Sports teams					0.57
Had a concussion					0.42
Eigenvalue	4.26	1.83	1.69	1.17	1.08
Variance explained %	4.26	9.63	8.88	6.15	5.66
Cumulative variance explained %	14.62	24.88	35.09	44.52	52.79

KMO = .805 (KMO ≥ .60 means that the result of the factor analysis is acceptable)
Bartlett’s test of sphericity: χ2 = 2.2 (df = 171; p = .00)

ISSN: 1477-7525