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LETTER

Associations Between Internet Addiction, Psychiatric Comorbidity, and Maternal Depression and Anxiety: Potential Underlying Mechanisms [Letter]

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Pages 689-691 | Received 19 Jan 2023, Accepted 24 Mar 2023, Published online: 29 Mar 2023
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Associations Between Internet Addiction, Psychiatric Comorbidity, and Maternal Depression and Anxiety: Potential Underlying Mechanisms [Response to Letter]

Dear editor

We are writing to comment on the recent study by Sakamoto et alCitation1 which we found to be a significant contribution to the field of internet addiction (IA) research. The study sheds light on a compelling association between IA and maternal depression and anxiety, an area that warrants further investigation. As such, we would like to elaborate on some of the possible factors that could be involved in this association. By exploring these mechanisms, we hope to deepen our understanding of the complex relationship between maternal mental health and IA.

First, research has demonstrated that mothers experiencing depression or anxiety tend to withdraw from their parental duties, resulting in negative impacts on their child’s development.Citation2,Citation3 Accordingly, this lack of parental involvement can also increase the risk of internet addictionCitation4,Citation5 indicating the importance of promoting active parental involvement to prevent negative outcomes.

Second, maternal depression is linked to reduced time spent closely supervising children.Citation2 Some studies have shown that active parental involvement, specifically parental mediation, can have a significant impact on reducing the risk of internet addictionCitation6–9 and negative online experiences in children and adolescentsCitation10 emphasizing the importance of active parental involvement in reducing this risk of IA.

Third, children of mothers with depression often struggle with social competence and have challenges in social situations and relationships,Citation2 which may influence a child’s preference for online interactions and their risk for internet addiction.Citation11,Citation12 Furthermore, excessive use of the internet may serve as a means for avoiding challenging domestic situations and the allure of virtual relationships can also contribute to the development of internet addiction.Citation5 This reveals the role of the internet as a coping mechanism and a means of temporary escape from stress or negative emotions.

Fourth, children of mothers with depression are at a higher risk of developing mood disorders themselves, as well as exhibiting externalizing behaviors.Citation2 Individuals with IA often experience comorbidity with depression, anxiety, and impulse-control disorders.Citation13 Consequently, this highlights the need for a comprehensive assessment and treatment plan that addresses all of the individual’s mental health issues.

Nonetheless, we would like to draw your attention to a noteworthy observation we made during our examination of the scale used. The 6-Item Kessler Scale (K6) used in this study is a strong predictor of serious mental illness, including clinically significant depression or anxiety.Citation14 However, the value of the K6 is primarily as a broad screener rather than a specific screener for any one mental disorder.Citation14 In order to investigate the patterns and associations of specific disorders, we suggest that more specific screening scales should be preferred to the K6 such as the PHQ-9 scale for major depression and GAD-7 scale for anxiety.Citation15

Furthermore, IA is a complex phenomenon that encompasses various subtypes, such as gaming addiction or social media addiction. These subtypes may possess distinct characteristics, risk factors, and comorbidities, which may have implications for the assessment and treatment of IA. Therefore, future studies should examine specific subtypes of IA to improve the effectiveness of preventive and therapeutic interventionsCitation16 and focus on developing targeted interventions for specific IA subtypes.

In conclusion, the study by Sakamoto et al is enlightening and provides valuable insights into the association between internet addiction (IA) and maternal depression and anxiety. Maternal depression and anxiety screening and treatment, along with family-based interventions focused on improving parent-child relationships, communication, and understanding, could be a promising direction for treating internet addiction in children and adolescents.Citation17 This approach could also provide a more detailed guide and evidence on the effectiveness of interventions to reduce internet addiction.

Disclosure

The authors report no conflicts of interest in this communication.

References

  • Sakamoto S, Miyawaki D, Goto A, et al. Associations between internet addiction, psychiatric comorbidity, and maternal depression and anxiety in clinically referred children and adolescents. Neuropsychiatr Dis Treat. 2022;18:2421–2430. doi:10.2147/NDT.S383160
  • Psychosocial Paediatrics Committee. Maternal depression and child development. Paediatr Child Health. 2004;9(8):575–598. doi:10.1093/pch/9.8.575
  • Nicol-Harper R, Harvey AG, Stein A. Interactions between mothers and infants: impact of maternal anxiety. Infant Behav Dev. 2007;30(1):161–167. doi:10.1016/j.infbeh.2006.08.005
  • Schneider LA, King DL, Delfabbro PH. Family factors in adolescent problematic Internet gaming: a systematic review. J Behav Addict. 2017;6(3):321–333. doi:10.1556/2006.6.2017.035
  • Beranuy M, Carbonell X, Griffiths MD, Qualitative A. Analysis of online gaming addicts in treatment. Int J Ment Health Addict. 2013;11(2):149–161. doi:10.1007/s11469-012-9405-2
  • Chang FC, Chiu CH, Chen PH, et al. Children’s use of mobile devices, smartphone addiction and parental mediation in Taiwan. Comput Hum Behav. 2019;93:25–32. doi:10.1016/j.chb.2018.11.048
  • Bleakley A, Ellithorpe M, Romer D. The Role of Parents in Problematic Internet Use among US Adolescents. Media Commun. 2016;4(3):24–34. doi:10.17645/mac.v4i3.523
  • Kalmus V, Blinka L, Ólafsson K. Does it matter what mama says: evaluating the role of parental mediation in European adolescents’ excessive internet use. Child Soc. 2015;29(2):122–133. doi:10.1111/chso.12020
  • Livingstone S, Ólafsson K, Helsper EJ, Lupiáñez-Villanueva F, Veltri GA, Folkvord F. Maximizing opportunities and minimizing risks for children online: the role of digital skills in emerging strategies of parental mediation: maximizing opportunities and minimizing risks. J Commun. 2017;67(1):82–105. doi:10.1111/jcom.12277
  • Chandrima RM, Kircaburun K, Kabir H, et al. Adolescent problematic internet use and parental mediation: a Bangladeshi structured interview study. Addict Behav Rep. 2020;12:100288. doi:10.1016/j.abrep.2020.100288
  • Caplan SE. A social skill account of problematic internet use. J Commun. 2005;55(4):721–736. doi:10.1111/j.1460-2466.2005.tb03019.x
  • Romero-López M, Pichardo C, De Hoces I, García-Berbén T. Problematic Internet use among university students and its relationship with social skills. Brain Sci. 2021;11(10):1301. doi:10.3390/brainsci11101301
  • Kuss DJ, Lopez-Fernandez O. Internet addiction and problematic Internet use: a systematic review of clinical research. World J Psychiatry. 2016;6(1):143–176. doi:10.5498/wjp.v6.i1.143
  • Kessler RC, Andrews G, Colpe LJ, et al. Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychol Med. 2002;32(6):959–976. doi:10.1017/S0033291702006074
  • Staples LG, Dear BF, Gandy M, et al. Psychometric properties and clinical utility of brief measures of depression, anxiety, and general distress: the PHQ-2, GAD-2, and K-6. Gen Hosp Psychiatry. 2019;56:13–18. doi:10.1016/j.genhosppsych.2018.11.003
  • Trumello C, Vismara L, Sechi C, Ricciardi P, Marino V, Babore A. Internet addiction: the role of parental care and mental health in adolescence. Int J Environ Res Public Health. 2021;18(24):12876. doi:10.3390/ijerph182412876
  • Lam LT. Parental mental health and Internet Addiction in adolescents. Addict Behav. 2015;42:20–23. doi:10.1016/j.addbeh.2014.10.033