Lost in the Digital World: The Effects of Internet Addiction and Internet Gaming Disorder on Sleep and Mental Well-being of Medical Students in the Konkan Region of India.

Internet addiction was present in 41.04% of undergraduate medical students studied.

• Study conducted at a rural medical college in the Konkan region of India.
• Sample size was 402 undergraduate medical students.
• Mean age of participants was 20.39 ± 1.43 years.
• Internet addiction was measured using the Young Internet Addiction Test.
• Internet usage amongst medical students was notably high at 40%.

Internet Gaming Disorder (IGD) was present in 20.89% of undergraduate medical students.

• IGD was measured using the short form of the Internet Gaming Disorder Scale (IGDS-SF).
• Sample included 402 undergraduate medical students.
• Focus group discussions were conducted with 56 students chosen for their high scores in IA and IGD.
• Thematic analysis was used to identify patterns and themes in qualitative data.

Insomnia was found in 36.56% of the study participants.

• Insomnia was measured using the Insomnia Severity Index (ISI).
• There was a strong and statistically significant association between IA and IGD with insomnia (P < 0.0001).
• A statistically significant correlation was found between scores and grades of IA and IGD and insomnia.
• Internet usage showed a significant association with insomnia.

Depression was found in 14.42% of the study participants.

• Depression was measured using the Patient Health Questionnaire (PHQ).
• There was a strong and statistically significant association between IA and IGD with depression (P < 0.0001).
• A statistically significant correlation was found between scores and grades of IA and IGD and depression.
• Internet usage showed a significant association with depression.

Year of study and hostel stay had statistically significant associations with internet addiction, internet gaming disorder, insomnia, and depression.

• The association was statistically significant for all four outcomes (P < 0.002).
• This finding applied across IA, IGD, insomnia, and depression.
• Data were gathered using a semi-structured, self-administered questionnaire encompassing socio-demographic information.
• Data triangulation was conducted to interpret and elucidate quantitative results using qualitative observations.

A mixed-methods design was used, combining quantitative survey data with qualitative focus group discussions.

• Quantitative data were collected from 402 undergraduate medical students.
• Focus group discussions were conducted with 56 students selected for high scores in IA and IGD.
• Thematic analysis was employed to discern patterns and themes within the qualitative data.
• Data triangulation was conducted to interpret and elucidate the quantitative results using qualitative observations.