Adolescent development and growing divides in the digital age

Odgers, Candice L.; Jensen, Michaeline

doi:10.31887/dcns.2020.22.2/codgers

Cited by 40 publications

(22 citation statements)

References 31 publications

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“…Early adolescence is a time of mental health symptom onset (Paus et al, 2008), with increased frequencies of internalizing and externalizing problems (McLaughlin and King, 2015;Petersen et al, 2015). While the impact of social media on well-being, particularly mental health, has been an important focus of research in HICs, this question is underexplored in LMICs (Odgers and Jensen, 2020;Orben, 2020). In HICs, in work mostly with older adolescents, there is a negative (but small and non-causal) association between social media use and well-being [see recent reviews by Ivie et al (2020), Odgers and Jensen (2020), Orben (2020), and Schønning et al (2020)].…”

Section: New Directions: Investigating Specific Impacts Of Digital and Social Media On Early Adolescents In Lmicsmentioning

confidence: 99%

“…While the impact of social media on well-being, particularly mental health, has been an important focus of research in HICs, this question is underexplored in LMICs (Odgers and Jensen, 2020;Orben, 2020). In HICs, in work mostly with older adolescents, there is a negative (but small and non-causal) association between social media use and well-being [see recent reviews by Ivie et al (2020), Odgers and Jensen (2020), Orben (2020), and Schønning et al (2020)]. However, manifestations of psychopathology might be different for younger vs. older adolescents (American Psychiatric Association, 2013), and hence it is necessary to have a more granular study of the relationship between digital media and well-being for VYAs and consider developmental trajectories of psychopathology.…”

Section: New Directions: Investigating Specific Impacts Of Digital and Social Media On Early Adolescents In Lmicsmentioning

confidence: 99%

“…Future studies should leverage the important recent advancements in research practices (Kross et al, 2020) which include moving away from coarse and subjective measures of screen-time. Studies should incorporate objective measures of media use, focus on longitudinal and experimental designs that are suited to assess causality, and align with principles of transparent and reproducible data analysis (Odgers and Jensen, 2020;Orben, 2020). It is important to incorporate an individual differences approach to identify sources of vulnerability and resilience, beyond average effects.…”

Section: New Directions: Investigating Specific Impacts Of Digital and Social Media On Early Adolescents In Lmicsmentioning

confidence: 99%

“…Research should incorporate more careful consideration of different dimensions of digital media (patterns of use, motivations, positive and negative dimensions, passive vs. active use, etc.) to fully characterize its positive and negative consequences (Kross et al, 2020;Odgers and Jensen, 2020;Orben, 2020). In Tables 2A,B, we highlight several dimensions of VYA development that might inform risks and opportunities and warrant further investigation in LMICs.…”

Section: New Directions: Investigating Specific Impacts Of Digital and Social Media On Early Adolescents In Lmicsmentioning

confidence: 99%

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Context, Development, and Digital Media: Implications for Very Young Adolescents in LMICs

2021

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The rapidly expanding universe of information, media, and learning experiences available through digital technology is creating unique opportunities and vulnerabilities for children and adolescents. These issues are particularly salient during the developmental window at the transition from childhood into adolescence. This period of early adolescence is a time of formative social and emotional learning experiences that can shape identity development in both healthy and unhealthy ways. Increasingly, many of these foundational learning experiences are occurring in on-line digital environments. These expanding vulnerabilities and opportunities are being further amplified for young adolescents growing up in low resourced settings around the world. Cultural and contextual factors influence access, use, and appropriation of digital technology. Further, neurobehavioral changes associated with the onset of puberty often coincide with entry into social media and more autonomous use of technology. In low-and-middle-income countries (LMICs), disparities in access, use, and appropriation of digital media can amplify prevailing economic gaps, and compound gender inequalities during early adolescence. In LMICs, adolescents are often the early adopters of mobile technology and social media platforms. While the impact of social media on the well-being, particularly mental health, of young adolescents has been a focus of research in high-income countries (HICs), much less is known about the impacts of social media use on young adolescents in LMICs. In this paper, we review what is known about the interaction between digital media and early adolescent development. We highlight crucial gaps in the evidence in LMICs; and describe some hypotheses and areas for future research to address these compelling issues.

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Section: New Directions: Investigating Specific Impacts Of Digital and Social Media On Early Adolescents In Lmicsmentioning

confidence: 99%

Section: New Directions: Investigating Specific Impacts Of Digital and Social Media On Early Adolescents In Lmicsmentioning

confidence: 99%

Section: New Directions: Investigating Specific Impacts Of Digital and Social Media On Early Adolescents In Lmicsmentioning

confidence: 99%

Section: New Directions: Investigating Specific Impacts Of Digital and Social Media On Early Adolescents In Lmicsmentioning

confidence: 99%

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Context, Development, and Digital Media: Implications for Very Young Adolescents in LMICs

2021

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“…DMHIs may also be more readily adaptable or translated into other languages, which may help with the limited availability of multilingual mental health professionals. However, inequities in access to technology may actually create a digital divide in who has access to DMHIs (Odgers & Jensen, 2020). By collecting and delivering content in real time and in real-world contexts, DMHIs have the potential to inform and deliver timely, flexible, and personalized mental health care, thereby improving detection and treatment of mental health problems across risk stages and demographics (Price et al, 2014).…”

Section: Potential Benefits Of Digital Mental Health Interventions Fo...mentioning

confidence: 99%

Digital Media Interventions for Adolescent Mental Health

Hamilton¹,

Siegel²,

Carper³

2022

Handbook of Adolescent Digital Media Use and Mental Health

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The majority of mental health problems first emerge during the adolescent years (Kessler et al., 2005). Thus, adolescence is a critical developmental window for both mental health prevention and intervention. Despite improvements in our understanding and ability to detect and treat youth mental health problems, there remains a persistent need for mental health services among youth, with the majority of youth untreated (Cummings et al., 2013;Merikangas et al., 2011). Among youth who do get treatment, there is often a long gap between the onset of symptoms and when youth first receive treatment (de Girolamo et al., 2012), as well as low treatment attendance and completion in this population. As rates of mental health problems such as depression and suicidality continue to rise during adolescence (Centers for Disease Control, 2018), the gap between those who need and receive mental health services will only continue to grow.In this chapter, we review the potential for technology to advance our understanding and treatment of mental health problems among adolescents through digital mental health interventions (DMHIs). We first discuss existing barriers to mental health care among adolescents, followed by a discussion of how DMHIs can address these barriers to improve access to and quality of adolescent mental health services. We then review existing research on DMHIs and the digital frameworks that are used to collect and deliver psychoeducation, assessment, and interventions across different hardware (e.g., smartphones, computers) and modalities (e.g., online, text, apps). Finally, we conclude with a discussion of the current limitations of DMHIs and key directions for the field to improve adolescent mental health care using DMHIs. Barriers to Existing Mental Health ServicesSignificant, and often systemic, barriers interfere with access and delivery of mental health services for adolescents, including barriers related to cost, geographic proximity, and time, among others. These barriers oftenWe would like to thank Woanjun Lee, BA for his contributions to the tables for this chapter. Jessica L.

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Depressive Symptoms in Adolescence and Young Adulthood

Keyes,

Kreski,

Patrick

2024

JAMA Netw Open

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ImportanceDepressive symptoms have increased among US adolescents since 2010. It remains unclear as to what extent this increase will persist into young adulthood, potentially turning the youth mental health crisis into a young adult mental health crisis.ObjectiveTo test the association between birth cohort and adolescent depressive symptoms at ages 18, 19 to 20, and 21 to 22 years and changes in these symptoms by cohort.Design, Setting, and ParticipantsThis panel cohort study analyzed data from the Monitoring the Future longitudinal survey from 1990 to 2019, including birth cohorts from 1972 to 2001. Survey respondents were recruited from US high schools in 12th grade and were approximately aged 18 years (at baseline) through age 21 to 22 years (during mail and web follow-up). Data analysis was conducted from April to October 2023.ExposureDepressive symptoms score (&gt;12 vs ≤12, with &gt;12 representing top-decile scores) on a scale examining affective items (eg, “Life often seems meaningless”).Main Outcomes and MeasuresHigh (vs lower) depressive symptoms at ages 19 to 20 years and 21 to 22 years.ResultsThe 36 552 respondents included 18 597 females (50.5%), and most reported having a parent who graduated from college (44.8%). Among females, 19.1% (95% CI, 16.7%-21.4%) of the most recent birth cohort (born: 1997-2001) had high depressive symptoms at age 18 years, higher than any previous birth cohort. While prevalence declined by age 21 to 22 years, it remained higher than previous cohorts at that age. Among males, 13.4% (95% CI, 11.2%-15.6%) of the most recent birth cohort had high depressive symptoms at age 18 years, and prevalence increased through young adulthood. Males with high baseline depressive symptoms had 10.24 (95% CI, 7.01-14.97) times the odds of symptoms at age 19 to 20 years and 6.20 (95% CI, 3.93-9.78) times the odds of symptoms at age 21 to 22 years. Females with high baseline depressive symptoms had 9.16 (95% CI, 6.57-12.76) times the odds of symptoms at age 19 to 20 years and 7.28 (95% CI, 4.92-10.78) times the odds of symptoms at age 21 to 22 years. The magnitude of the associations did not vary over time. Population attributable fractions indicated that the total proportion of young adult symptoms associated with depressive symptoms at age 18 years among females has increased; in the most recent birth cohort, 55.25% (95% CI, 38.11%-65.13%) of depressive symptoms at age 21 to 22 years were associated with symptoms at age 18 years.Conclusions and RelevanceThis panel cohort study found that increases in depressive symptoms in adolescence persisted into young adulthood, suggesting the need for primary prevention and mental health resources during the adolescent years.

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Adolescent development and growing divides in the digital age

Cited by 40 publications

References 31 publications

Context, Development, and Digital Media: Implications for Very Young Adolescents in LMICs

Context, Development, and Digital Media: Implications for Very Young Adolescents in LMICs

Digital Media Interventions for Adolescent Mental Health

Depressive Symptoms in Adolescence and Young Adulthood

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