Table 2. Prevalence of internet addiction among study participants in relation to various factors (N = 400).

Variable	Internet addiction		Total, n (%)	Chi-square (p-value)
	Present, n (%)	Absent, n (%)
Age category (years)				9.934 (<0.05)
10 to 14	74 (63.8)	42 (36.2)	116 (29)
15 to 19	93 (50.3)	92 (49.7)	185 (46.3)
20 to 24	67 (67.7)	32 (32.3)	99 (24.7)
Gender				0.415 (0.5)
Male	132 (57.1)	99 (42.9)	231 (57.8)
Female	102 (60.4)	67 (39.6)	169 (42.2)
Locality				7.142 (<0.05)
Rural	75 (50)	75 (50)	150 (37.5)
Urban	159 (63.6)	91 (36.4)	250 (62.5)
Social class				6.216 (<0.05)
Above poverty line	122 (64.6)	67 (35.4)	189 (47.7)
Below poverty line	108 (52.2)	99 (47.8)	207 (52.3)
Residing with parents				4.802 (<0.05)
Yes	134 (54.3)	113 (45.7)	247 (61.8)
No	100 (65.4)	53 (34.6)	153 (38.2)
Mother’s education				14.959 (0.05)
Illiterate/primary/middle school	15 (32.6)	31 (67.4)	46 (11.5)
High school	65 (59.1)	45 (40.9)	110 (27.5)
Intermediate/diploma	45 (61.6)	28 (38.4)	73 (18.2)
Graduate	66 (63.5)	38 (36.5)	104 (26.0)
Masters and above	43 (64.2)	24 (35.8)	67 (16.8)
Years of internet use				18.096 (<0.001)
0 to 3 years	120 (50.6)	117 (49.4)	237 (59.25)
4 to 7 years	80 (66.1)	41 (33.9)	121 (30.25)
8 to 11 years	25 (78.1)	7 (21.9)	32 (8)
12 years and above	9 (90)	1 (10)	10 (2.5)
Ever been diagnosed with COVID-19?				1.376 (0.24)
Yes	38 (65.5)	20 (34.5)	58 (14.5)
No	196 (57.3)	146 (42.7)	342 (85.5)
Online classes during the COVID-19 pandemic				1.437 (0.23)
Yes	207 (59.7)	140 (40.3)	347 (86.8)
No	27 (50.9)	26 (49.1)	53 (13.2)
Increased access to the internet/gadgets during the COVID-19 pandemic				14.301 (<0.001)
Yes	199 (63.4)	115 (36.6)	314 (78.5)
No	35 (40.7)	51 (59.3)	86 (21.5)