Problematic Internet use in drug addicts under treatment in public rehab centers

Table 1 Types of substance abuse and/or behavioral addiction

	n (%)
Heroin or opioids	88 (48.1)
Alcohol	55 (30.1)
Cannabis	20 (9.8)
Cocaine	17 (7.7)
Amphetamines	3 (1.6)
Polydrug abuse	9 (4.9)
Gambling disorder	18 (9.3)
Smokers	183 (100)

Table 2 Comparisons of the QUNT factor scores in the four BMI categories

Factors	UW	NW	OW	OB	F	P value	Post-hoc comparison:Significantfor P < 0.05
Time spent online	53.44 ± 13.68	53.80 ± 13.12	54.91 ± 12.71	55.83 ± 14.10	3.87	0.009	OW > UW
Social withdrawal	25.39 ± 6.35	27.55 ± 7.61	28.73 ± 8.94	30.81 ± 10.14	9.91	0.001	OW > UW; OB > UW; OB > NW
Abstraction from reality	32.33 ± 10.02	34.90 ± 10.13	35.11 ± 12.98	36.11 ± 13.44	2.69	0.045	None
Loss of control	28,10 ± 9.11	29.79 ± 10.11	31.04 ± 12.49	31.21 ± 10.87	1.95	1.98	None
Addiction to pornography	43.32 ± 12.28	41.95 ± 13.70	41.34 ± 11.03	42.09 ± 13.45	1.55	0.250	None
Ludopathy	33.26 ± 13.17	36.23 ± 10.85	39.88 ± 22.91	41.16 ± 22.39	4.28	0.005	OW > NW
Addiction to instant messaging	54.05 ± 18.33	56.02 ± 16.47	56.24 ± 18.36	55.60 ± 17.09	1.72	0.197	None
Addiction to social networks	41.60 ± 12.61	42.13 ± 13.15	41.80 ± 12.19	44.14 ± 18.90	1.81	0.187	None

QUNT: Questionario sull’Utilizzo delle Nuove Tecnologie; BMI: Body mass Index; UW: Underweight; NW: Normal weight; OW: Overweight; OB: Obesity.