Table 2

Description of studies measuring prevalence of internet addiction among college students in India based on the Y-IAT (Y-IAT≥40)

Author/Year of publicationState/
Population
Sample size/
Method/Design
Age (years)Moderate
addiction
(Y-IAT 40–69)
Prevalence (%)
Severe
addiction
(Y-IAT 70–100)
Prevalence (%)
Prevalence by gender (Y-IAT≥40)
Nathawat et al (2020)59Goa/Science & Art students200/convenience/cross-sectional17–2015.0% (30/200)*NMMale: 7.5% (15/100)
Female: 7.5% (15/100)
Awasthi et al (2020)60Uttarakhand/Medical students221/convenience/cross-sectional17–2426.7% (59/221)5.9% (13/221)NM
Jain et al (2020)61Rajasthan/Science & Art students954/simple random/cross-sectional17–3443.2% (412/954)15.5% (148/954)Male: 61.4% (355/578)
Female: 54.1% (205/376)
Mukherjee et al (2020)62Kolkata/Medical students150/convenience/cross-sectionalNM50.7% (76/150)19.3% (29/150)Male: 72.4% (21/77)
Female: 27.6% (8/73)
Gayathri et al (2020)63Tamil Nadu/Medical students300/simple random/cross-sectional18–2422.3% (67/300)†2.3% (7/300)Male: 28.8% (30/104)
Female: 22.4% (44/196)
Kandre et al (2020)64Gujarat/Medical students427/convenience/cross-sectional18–2615.0% (64/427)0.9% (4/427)NM
Patel et al (2018)65Gujarat/Medical students139/convenience/cross-sectional19.4 (mean age)74.8% (104/139)16.6% (23/139)Male: 93.8% (76/81)
Female: 87.9% (51/58)
Thakur et al (2018)66Madhya Pradesh/Engineering students425/multistage stratified random /cross-sectional17–2317.7% (75/425)1.3% (6/425)Male: 82.5% (146/177)
Female: 68.1% (169/248)
  • *Y-IAT score of ≥40 indicates possible internet addiction.

  • †Y-IAT score of 40–69 indicates possible moderate internet addiction.

  • NM, not mentioned; Y-IAT, Young Internet Addiction Test.