From: Internet addiction among young Bangladeshi adults: critical commentary on Hassan et al. (2020)
Authors (year published) | Study location | Study population | Sample size (age range) | Assessment tool | Scale response | Total scale items | Cutoff scores used | Main findings |
---|---|---|---|---|---|---|---|---|
Afrin et al. (2017) [19] | Chittagong | High school students | 279 (14–17 years) | Internet Addiction Survey | Yes/no | 9 | < 3 = normal internet user; 4 to 6 = moderate internet user; ≤ 7 = severe user | 2.5% severely addicted to the internet, 64.9% moderately addicted to the internet |
Hassan et al. (2020) [1] | Chittagong, Dhaka, Sylhet | Adults | 454 (19–35 years) | Internet Addiction Test | 5-point Likert-type scale ranging from 1 (rarely) to 5 (always) | 20* | 20–49 points = average internet user; ≥ 50 points = internet addicted | 27.1% prevalence of internet addiction |
Islam and Hossin (2016) [10] | Dhaka | University students | 573 (20–30 years) | Internet Addiction Test | 5-point Likert-type scale ranging from 1 (rarely) to 5 (always) | 20 | ≥ 50 = moderate, excessive, or problematic internet user | 24% problematic internet users |
Jahan et al. (2019) [20] | Dhaka | University medical students | 390 (18–26 years) | Internet Addiction Survey | Yes/no | 9 | < 3 = normal internet user; 4 to 6 = moderate internet user; ≤ 7 = severe user | 31.5% normal users, 49.2% moderately addicted users, and 19.3% severely internet addicted users |
Karim and Nigar (2014) [15] | Dhaka | University students | 177 (18–25 years) | Bangla Internet Addiction Test | 5-point Likert-type scale ranging from 1 (rarely) to 5 (always) | 18 | < 36 = minimal internet user; 36–62 = moderate internet user; > 62 = excessive internet user | 63.95% minimal internet users, 34.3% moderate internet users, 1.7% excessive internet users |
Khan (2012) [18] | Dhaka | High school students | 797 (mean age = 16.5 years) | Internet Addiction Test | 5-point Likert-type scale ranging from 1 (rarely) to 5 (always) | 20 | Not reported | 20.20% reported as having “internet addiction disorder” |
Mamun and Griffiths (2019) [11] | Dhaka | University students | 300 (mean age = 20.7 years) | Bergen Facebook Addiction Scale | 5-point Likert-type scale ranging from 1 (very rarely) to 5 (very often) | 6 | ≥ 18 = at risk of being addicted to Facebook | 39.7% at risk of being addicted to Facebook |
Mamun et al. (2019) [16] | Dhaka | University students | 405 (mean age = 20.2 years) | Internet Addiction Test | 5-point Likert-type scale ranging from 1 (rarely) to 5 (always) | 20 | ≥ 50 = moderate to high or problematic internet user | 32.6% problematic internet users |
Mamun et al. (2019) [14] | Rajshahi | Graduated students | 284 (mean age = 21.1 years) | Internet Addiction Test | 5-point Likert-type scale ranging from 1 (rarely) to 5 (always) | 20 | < 60 = non-excessive internet users; ≥ 60 = excessive internet users | 0% internet addicts, but 3.9% classed as excessive users |
Mostafa et al. (2019) [21] | Chittagong | Medical and university students | 379 (18–30 years) | Internet Addiction Test | 5-point Likert-type scale ranging from 1 (rarely) to 5 (always) | 20 | < 20 = normal internet user; 20–49 = mild internet user; 50–79 = moderate internet user; 80–100 = severe internet user | Majority of the participants were mild problematic users (54.88%). The prevalence of internet addiction was 1.06% (severe users) |
Siddiqi et al. (2018) [12] | Dhaka | High school students | 376 (13–19 years) | Bergen Facebook Addiction Scale | 5-point Likert-type scale ranging from 1 (rarely) to 5 (always) | 6** | ≥ 20 = at risk of being addicted to Facebook | 49.8%, 41.0%, and 1.6% mild, moderate, and severe Facebook addicted and 7.6% non-problematic users |
Uddin et al. (2016) [13] | Dhaka | University students | 475 (18–25 years) | Internet Addiction Test | 5-point Likert-type scale ranging from 1 (rarely) to 5 (always) | 20 | ≤ 30 = normal internet user; 31–49 = mild internet user; 50–79 = moderate internet user; ≥ 80 = severe or excessive internet user | 47.7% male and 44.5% female students severely addicted to the internet, 7.1% male and 33.9% female students moderately addicted to the internet, 20.7% male and 7.7% female students mildly addicted to the internet |