Digital media use, depressive symptoms and support for violent radicalization among young Canadians: a latent profile analysis

• Published in: BMC Psychology Vol. 12; no. 1; pp. 260 - 15
• Main Authors: Miconi, Diana, Santavicca, Tara, Frounfelker, Rochelle L, Mounchingam, Aoudou Njingouo, Rousseau, Cécile
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 10.05.2024; BioMed Central; BMC
• Subjects: Adolescent; Adult; Analysis; Canada; Care and treatment; Depression; Depression - psychology; Depression, Mental; Diagnosis; Digital media use; False information; Female; Health aspects; Humans; Internet - statistics & numerical data; Internet Use - statistics & numerical data; Male; North American People; Person-centered approach; Prevention; Psychological aspects; Social media; Social Media - statistics & numerical data; Social networks; Statistics; Surveys and Questionnaires; Trust - psychology; Violence; Violence - psychology; Violence - statistics & numerical data; Violent radicalization; Young Adult; Young adults; Young people; Youth violence; Canada; Young people; Depression; Person-centered approach; Digital media use; Violent radicalization
• ISSN: 2050-7283; 2050-7283
• DOI: 10.1186/s40359-024-01739-0

Despite the prominent role that digital media play in the lives and mental health of young people as well as in violent radicalization (VR) processes, empirical research aimed to investigate the association between Internet use, depressive symptoms and support for VR among young people is scant. We adopt a person-centered approach to investigate patterns of digital media use and their association with depressive symptoms and support for VR. A sample of 2,324 Canadian young people (M = 30.10; SD = 5.44 ; 59% women) responded to an online questionnaire. We used latent profile analysis to identify patterns of digital media use and linear regression to estimate the associations between class membership, depressive symptoms and support for VR. We identified four classes of individuals with regards to digital media use, named Average Internet Use/Institutional trust, Average internet use/Undifferentiated Trust, Limited Internet Use/Low Trust and Online Relational and Political Engagement/Social Media Trust. Linear regression indicated that individuals in the Online Relational and Political Engagement/Social Media Trust and Average Internet Use/Institutional trust profiles reported the highest and lowest scores of both depression and support for VR, respectively. It is essential to tailor prevention and intervention efforts to mitigate risks of VR to the specific needs and experiences of different groups in society, within a socio-ecological perspective. Prevention should consider both strengths and risks of digital media use and simulteaneously target both online and offline experiences and networks, with a focus on the sociopolitical and relational/emotional components of Internet use.