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Media use and depression: exposure, household rules, and symptoms among young adolescents in the USA
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Objectives To determine the longitudinal and cross-sectional associations between different types of electronic media use (mobile phones, TV, computers, video games, and music) and young adolescents' depressive symptoms, and to explore the potential for household media rules to reduce young people's depression.Methods 126 young adolescents were recruited from the Northeastern USA. Each type of media use was assessed using survey questions, time use diaries, and ecological momentary assessment. The Beck Depression Index for Primary Care was administered at baseline and 1 year later as part of a questionnaire that also included items assessing the presence of household rules about TV and video games.Results Baseline use of mobile phones and TV viewing were associated with higher levels of depression 1 year later controlling for demographic information and baseline depression score. Having household rules about TV at baseline predicted lower levels of depression at follow-up.Conclusions Both TV viewing and mobile phone use may contribute to the development of depressive symptoms. Implementing household rules about the duration and content of TV could help reduce depression in young adolescents.
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“First, all included studies utilised self-report or parent-reported measures of both screen time and mental health outcomes; no studies meeting the inclusion criteria utilised clinician-rated measures of mental health, and only one study utilised EMA to measure screen time (Bickham et al., 2015).”
From The relationship between screen time and mental health in young people: A systematic review of longitudinal studies (2021) · cites this paper as Bickham et al., 2015
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Ohannessian, C. M., & Vannucci, A. (2018) · Youth & Society · doi:10.1177/0044118x18785089 · Cited by 7
Bazanova, O. M., & Kovaleva, A. V. (2022) · Human Physiology · doi:10.1134/s0362119722020025 · Cited by 7
Xie, Q., Luo, X., Chen, R., & Zhou, X. (2023) · International Journal of Public Health · doi:10.3389/ijph.2022.1605372 · Cited by 7
Jun, S.-M. (2015) · Journal of Digital Convergence · doi:10.14400/jdc.2015.13.10.471 · Cited by 6
Primack, B. A., Shensa, A. S., Sidani, J. E., Bowman, N. D., Knight, J., Karim, S. A., Bisbey, M. A., Colditz, J. B., Woods, M. S., & Escobar-Viera, C. G. (2018) · National symposium on family issues · doi:10.1007/978-3-319-95540-7_9 · Cited by 5
Examining the Associations Between Online Interactions and Momentary Affect in Depressed Adolescents
Moukalled, S., Bickham, D. S., & Rich, M. (2021) · Frontiers in Human Dynamics · doi:10.3389/fhumd.2021.624727 · Cited by 5
Self-citationScreen Time and Mental Health in Canadian Youth: An Examination of Nationally Representative Data
Atwal, S., & Browne, D. T. (2022) · Psychological Reports · doi:10.1177/00332941221139995 · Cited by 7
“This can be further applied by general health care providers who can educate parents on techniques to implement household rules regarding digital media usage as this has empirically shown to reduce depression (Bickham et al., 2015).”
BackgroundThe Effect of Social Media Use on Depression in Adolescents: A Systematic Review and Meta-analysis
Vesal, M., & Rahimi, C. (2021) · مجله دانشگاه علوم پزشکی اراک · doi:10.32598/jams.24.1.6099.1 · Cited by 5
“Furthermore, evidence suggests that such measures can be a potential risk factor for depression [6].”
BackgroundSeomun, G., & Noh, W. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182111061 · Cited by 5
Liao, W. (2019) · Otago University Research Archive (University of Otago) · Cited by 5
The Impact of Using Technological Devices on Mental and Physical Health in Adolescents
Doruk, M., Mustafaoğlu, R., & Gül, H. (2023) · European Journal of Therapeutics · doi:10.58600/eurjther.20232902-592.y · Cited by 4
Estimating Young Children’s Exposure to Food and Beverage Marketing on Mobile Devices
Kenney, E. L., Mozaffarian, R. S., Norris, J., Fleming‐Milici, F., & Bleich, S. N. (2024) · Current Developments in Nutrition · doi:10.1016/j.cdnut.2024.104505 · Cited by 4
Dry eye disease and psychosomatics—benefits of mind-body therapy for dry eye disease
Zhao, C., & Li, X. (2025) · Frontiers in Medicine · doi:10.3389/fmed.2025.1600258 · Cited by 4
Media use degree and depression: A latent profile analysis from Chinese residents
Gong, F., Yi, P., Yu, L., Fan, S., Gao, G., Jin, Y., Zeng, L., Li, Y., & Feei, Z. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.1070774 · Cited by 5
“Previous studies have shown that the use of media, such as social media, video games, TV, and movies, is related to the development of public depression (Kross et al., 2013; Bickham et al., 2015; Liu et al., 2016; Holfeld and Sukhawathanakul, 2017).”
BackgroundProblematic Smartphone Use Is Associated With Current and Previous Major Depressive Disorder
Seong, S. J., Hong, J. P., Hahm, B., Chang, S. M., Kim, B., Lee, D. W., Cho, S., Park, J., Park, J. E., & Jeon, H. J. (2025) · Psychiatry Investigation · doi:10.30773/pi.2025.0011 · Cited by 3
“22 High mobile phone use is associated with depressive symptoms one year later among adolescents 53 and young adults.”
Is binge watching among medical students associated with depression and anxiety?
Hamza, M., Halayem, S., Jraidi, I., Myriam, B., Bouden, A., Ahlem, B., & Belhadj, A. (2023) · Insights on the Depression and Anxiety · doi:10.29328/journal.ida.1001035 · Cited by 3
Ray, A., Oulamine, A., & Lim, B. C. Y. (2024) · International Journal of Educational Management · doi:10.1108/ijem-06-2024-0328 · Cited by 3
Magallón-Neri, E. M., Kirchner, T., Forns, M., Calderón, C., & Planellas, I. (2018) · Child Abuse & Neglect · doi:10.1016/j.chiabu.2018.03.030 · Cited by 5
Fatores de risco associados a sintomas depressivos em adolescentes de um município de pequeno porte
Bernardineli, A. J., Silva, L. L., Araújo, C. R. M. A., & Pedroso, R. B. (2021) · Research Society and Development · doi:10.33448/rsd-v10i4.14315 · Cited by 3
What difference does ‘the digital’ make to children’s experiences of risk?
Livingstone, S. (2015) · International Journal of Public Health · doi:10.1007/s00038-015-0661-3 · Cited by 3
“Bickham et al. (2015) report that higher use of mobile phones and television viewing is associated, 1 year later, with greater levels of depression among teenagers (even controlling for demographic factors; see also Hemphill et al. 2015).”
Background
Metadata
- Authors
- Bickham, D. S., Hswen, Y., & Rich, M.
- Affiliations
- Harvard University (US)
- Boston Children's Hospital (US)
- Corresponding author
- Bickham, David S.
- Venue
- International Journal of Public Health
- Published
- 2015-01-14
- Volume
- 60
- Issue
- 2
- Pages
- 147-155
- ISSN
- 1661-8556 (ISSN-L)
- 1661-8564
- PMC
- PMC4375733
- OpenAlex
- W2002043486
- Cited by
- 134
- References
- 50
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 9 · 2023: 14 · 2022: 14 · 2021: 18 · 2020: 14 · 2019: 15 · 2018: 17 · 2017: 9 · 2016: 5 · 2015: 4
- FWCI
- 38.60
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- International Journal of Public Health (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institutes of Health
- National Institute of Child Health and Human Development
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R21HD054734)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Education › Child Development and Digital Technology
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Keywords
- media use, depression, depressive symptoms, early adolescents, mobile phone use, television viewing, video games, computer use, music listening, screen time, time use, ecological momentary assessment
- MeSH terms
- Adolescent, Adolescent Behavior, Age Factors, Child, Computers, Cross-Sectional Studies, Depression, Family Characteristics, Female, Humans, Male, Mass Media, Surveys and Questionnaires, Sex Factors, Time Factors, United States, Parenting, Risk Assessment, Video Games, Cell Phone, Sedentary Behavior
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