RECENT FINDINGS: Definition of EIU and its conceptualization still requires refinement. Recent studies indicate a changing trend towards female predominance of EIU. Women also differ in their internet use compared with men regarding their preference in the internet content and online activities, motives of use and factors related to access to the internet, including the device, sociocultural restrictions, etc. The correlates and sequelae of EIU encompass psychological, physical, biological, family and social domains that could form the basis of identifying individuals at risk and strategizing treatment.
SUMMARY: The findings indicate the need for standardization in definition and measures of EIU for better recognition of EIU and identification of its at-higher-risk females. Effective preventive and treatment measures are still limited by various methodology flaws outlined here.
METHODS: Severity of IA and ADHD traits was assessed by self-report scales. Subjects were 403 college students (response rate 78%) who completed a questionnaire including Young's Internet Addiction Test (IAT) and the Adult ADHD Self-Report Scale-V1.1.
RESULTS: Out of 403 subjects, 165 were male. The mean age was 18.4 ± 1.2 years, and mean total IAT score was 45.2 ± 12.6. One hundred forty-eight respondents (36.7%) were average Internet users (IAT < 40), 240 (59.6%) had possible addiction (IAT 40-69), and 15 (3.7%) had severe addiction (IAT ≥ 70). Mean length of Internet use was 4.1 ± 2.8 h/day on weekdays and 5.9 ± 3.7 h/day on the weekend. Females used the Internet mainly for social networking services while males preferred online games. Students with a positive ADHD screen scored significantly higher on the IAT than those negative for ADHD screen (50.2 ± 12.9 vs 43.3 ± 12.0).
CONCLUSION: Our results suggest that Internet misuse may be related to ADHD traits among Japanese youth. Further investigation of the links between IA and ADHD is warranted.
DESIGN AND METHODS: Participants were randomly selected using multi-stage sampling methods from three public universities in the study location. Participants completed measures of internet and smartphone addictions, depression, anxiety, stress, and suicidality, along with sociodemographic items.
FINDINGS: At bivariate level, both internet and smartphone addictions were found to have significant positive correlations with depression, anxiety, stress, and suicidality. At multivariate level, only internet addiction emerged as a consistent significant predictor for depression, anxiety, stress, and suicidality.
PRACTICE IMPLICATIONS: The present findings have implications for mental health professionals to routinely screen for psychological disturbance in young adults who have potential risks for internet addiction.