Impact on adolescent mental health of replacing screen-use with exercise: A prospective cohort study
Open accessAbstract
Background Screen-based device use could increase the risk of adolescent depression. Distinct modalities of screen-use may have differential effects on mental health. We used compositional data analysis to examine how theoretically replacing different screen-uses with exercise might influence future adolescent emotional distress.Methods In 4,599 adolescents (55% female) from a nationally-representative, prospective cohort, we used time-use diary data at age 14 to estimate daily screen use (television, social media, video game, general computer use) and exercise (team sport and individual exercise). The outcome was emotional distress at age 17, assessed using the emotional symptoms subscale of the Strengths and Difficulties Questionnaire.Results Theoretically replacing 60 min of total screen time with exercise at age 14 was associated with a 0.05 (95%CI -0.08, -0.02) score reduction on the emotional symptoms' subscale at 17 in fully-adjusted models. Replacing 60 min of television or social media use with team sports was associated with a reduction of 0.17 (95%CI, -0.31, -0.04) and 0.15 (95%CI, -0.29, -0.01) in emotional symptom scores, respectively. We found no change in emotional symptom scores when replacing video game or general computer use with team sport, or when replacing any screen time with individual exercise.Limitations No direct measure of depressive symptoms at follow-up.Conclusions Replacing any screen time with exercise could reduce emotional distress, but the largest effect sizes were associated with replacing time in television watching and social media with team sports. Recommendations to limit screen-use in adolescents may require a nuanced approach for protecting mental health.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Smartphone and social media use has been associated with depression and internalizing symptoms.
“Smartphone and social media use has been associated with depression [23, 24, 26, 27] and internalizing symptoms [52].”
From The associations between screen time and mental health in adolescents: a systematic review (2023) · cites this paper as [24]
The Main findings report that replacing social-media time with team sports was associated with lower emotional symptom scores. The Introduction identifies those scores as a component of internalising symptoms, supporting the social-media portion of the claim. The paper does not establish an association specifically for smartphone use. (LLM, conf=0.84)
Experimental — accuracy not yet measuredTheoretical replacement of 60 min of television or social media use by team sports at age 14 was associated with a reduction in emotional symptom scores at age 17.
“In another more recent study, the theoretical replacement of 60 min of television or social media use by team sports at age 14 years was associated with a reduction in emotional symptom scores at age 17 years, respectively [24].”
From The associations between screen time and mental health in adolescents: a systematic review (2023) · cites this paper as [24]
Some studies noted that replacing screen time with physical activity showed a positive effect on associations with mental health.
“From the records reviewed, some studies noted that replacing screen time with physical activity showed a positive effect on associations with mental health [24, 33, 34].”
From The associations between screen time and mental health in adolescents: a systematic review (2023) · cites this paper as [24]
Social media use was associated with poor mental health and impaired mental well-being.
“Here, social media use was associated with poor mental health and impaired mental well-being [24, 26, 27, 37, 48, 59].”
From The associations between screen time and mental health in adolescents: a systematic review (2023) · cites this paper as [24]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Vos, T., Lim, S. S., Abbafati, C., Abbas, K. M., Abbasi, M., Abbasifard, M., Abbasi-Kangevari, M., Abbastabar, H., Abd-Allah, F., Abdelalim, A., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30925-9 · Cited by 19,358 · see citing works
The Strengths and Difficulties Questionnaire: A research note
Goodman, R. (1997) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.1997.tb01545.x · Cited by 14,908 · see citing works
World Health Organization 2020 guidelines on physical activity and sedentary behaviour
Bull, F. C., Al-Ansari, S. S., Biddle, S., Borodulin, K., Buman, M. P., Cardon, G., Carty, C., Chaput, J.-P., Chastin, S., Chou, R., et al. (2020) · British Journal of Sports Medicine · doi:10.1136/bjsports-2020-102955 · Cited by 11,657 · cited 1× · see citing works
“These patterns may continue to diverge following recent developments, such as the COVID-19 outbreak and release of recommendations to limit recreational screen-time in young people by the World Health Organization (54).”
BackgroundSedentary Behavior Research Network (SBRN)—Terminology Consensus Project process and outcome
on behalf of SBRN Terminology Consensus Project Participants, Tremblay, M. S., Aubert, S., Barnes, J. D., Saunders, T. J., Carson, V., Latimer-Cheung, A. E., Chastin, S. F. M., Altenburg, T. M., & Chinapaw, M. J. M. (2017) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-017-0525-8 · Cited by 3,793 · see citing works
The Epidemiology of Depression Across Cultures
Kessler, R. C., & Bromet, E. J. (2013) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-031912-114409 · Cited by 2,657 · see citing works
Systematic review of sedentary behaviour and health indicators in school-aged children and youth.
Tremblay, M. S., LeBlanc, A. G., Kho, M. E., Saunders, T. J., Larouche, R., Colley, R. C., Goldfield, G., & Gorber, S. (2011) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-8-98 · Cited by 2,085 · see citing works
Keles, B., McCrae, N., & Grealish, A. (2020) · International Journal of Adolescence and Youth · doi:10.1080/02673843.2019.1590851 · Cited by 1,909 · see citing works
Krosnick, J. A. (1999) · Annual Review of Psychology · doi:10.1146/annurev.psych.50.1.537 · Cited by 1,852 · see citing works
Goodman, R., Ford, T., Simmons, H., Gatward, R., & Meltzer, H. (2000) · British Journal of Psychiatry · doi:10.1192/bjp.177.6.534 · Cited by 1,818 · see citing works
Physical Activity and Incident Depression: A Meta-Analysis of Prospective Cohort Studies
Schuch, F. B., Vancampfort, D., Firth, J., Rosenbaum, S., Ward, P. B., Silva, E. S., Hallgren, M., Ponce De Leon, A., Dunn, A. L., Deslandes, A. C., et al. (2018) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2018.17111194 · Cited by 1,763 · cited 1× · see citing works
“Higher physical activity volumes are also associated with a lower incidence of depression in the population (32).”
BackgroundSelf-citationSantini, Z. I., Jose, P. E., York Cornwell, E., Koyanagi, A., Nielsen, L., Hinrichsen, C., Meilstrup, C., Madsen, K. R., & Koushede, V. (2020) · The Lancet Public Health · doi:10.1016/s2468-2667(19)30230-0 · Cited by 1,755 · see citing works
Goodman, A., Lamping, D. L., & Ploubidis, G. B. (2010) · Journal of Abnormal Child Psychology · doi:10.1007/s10802-010-9434-x · Cited by 1,570 · see citing works
Liu, Q., He, H., Yang, J., Feng, X., Zhao, F., & Lyu, J. (2020) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2019.08.002 · Cited by 1,452 · see citing works
Kandola, A., Ashdown-Franks, G., Hendrikse, J., Sabiston, C. M., & Stubbs, B. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.09.040 · Cited by 1,309 · see citing works
Self-citationChastin, S. F. M., Palarea-Albaladejo, J., Dontje, M. L., & Skelton, D. A. (2015) · PLOS ONE · doi:10.1371/journal.pone.0139984 · Cited by 1,034 · see citing works
Palarea‐Albaladejo, J., & Fernández, J. A. M. (2015) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/j.chemolab.2015.02.019 · Cited by 963 · see citing works
Przybylski, A. K., & Weinstein, N. (2017) · Psychological Science · doi:10.1177/0956797616678438 · Cited by 890 · see citing works
Hoare, E., Milton, K., Foster, C., & Allender, S. (2016) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-016-0432-4 · Cited by 616 · see citing works
Compositional data analysis for physical activity, sedentary time and sleep research
Dumuid, D., Stanford, T., Fernández, J. A. M., Pedišić, Ž., Maher, C. A., Lewis, L. K., Hron, K., Katzmarzyk, P. T., Chaput, J., Fogelholm, M., et al. (2017) · Statistical Methods in Medical Research · doi:10.1177/0962280217710835 · Cited by 548 · see citing works
Cohort Profile: UK Millennium Cohort Study (MCS)
Connelly, R., & Platt, L. (2014) · International Journal of Epidemiology · doi:10.1093/ije/dyu001 · Cited by 547 · see citing works
The prognosis of common mental disorders in adolescents: a 14-year prospective cohort study
Patton, G. C., Coffey, C., Romaniuk, H., Mackinnon, A., Carlin, J. B., Degenhardt, L., Olsson, C. A., & Moran, P. (2014) · The Lancet · doi:10.1016/s0140-6736(13)62116-9 · Cited by 527 · see citing works
Association of screen time and depression in adolescence
Boers, E., Afzali, M. H., Newton, N., & Conrod, P. (2019) · JAMA Pediatrics · doi:10.1001/jamapediatrics.2019.1759 · Cited by 481 · see citing works
van Zoonen, K., Buntrock, C., Ebert, D. D., Smit, F., Reynolds, C. F., Beekman, A. T., & Cuijpers, P. (2014) · International Journal of Epidemiology · doi:10.1093/ije/dyt175 · Cited by 425 · see citing works
Steene‐Johannessen, J., Hansen, B. H., Dalene, K. E., Kolle, E., Northstone, K., Møller, N. C., Grøntved, A., Wedderkopp, N., Kriemler, S., Page, A. S., et al. (2020) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-020-00930-x · Cited by 416 · see citing works
Screens, Teens, and Psychological Well-Being: Evidence From Three Time-Use-Diary Studies
Orben, A., & Przybylski, A. K. (2019) · Psychological Science · doi:10.1177/0956797619830329 · Cited by 414 · see citing works
Liu, M., Wu, L., & Yao, S. (2016) · British Journal of Sports Medicine · doi:10.1136/bjsports-2015-095084 · Cited by 364 · cited 6× · see citing works
“These findings broadly align with those of previous studies showing positive associations between time in sedentary behaviour or using screen-based devices and the risk of depressive symptoms in adolescents (13,14).”
BackgroundResultInfluentialSedentary behaviors and risk of depression: a meta-analysis of prospective studies
Huang, Y., Li, L., Gan, Y., Wang, C., Jiang, H., Cao, S., & Lu, Z. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-0715-z · Cited by 352 · see citing works
Kandola, A. A., Lewis, G., Osborn, D., Stubbs, B., & Hayes, J. (2020) · The Lancet Psychiatry · doi:10.1016/s2215-0366(20)30034-1 · Cited by 348 · see citing works
Self-citationBailey, A. P., Hetrick, S. E., Rosenbaum, S., Purcell, R., & Parker, A. G. (2018) · Psychological Medicine · doi:10.1017/s0033291717002653 · Cited by 338 · see citing works
Video game play is positively correlated with well-being
Johannes, N., Vuorre, M., & Przybylski, A. K. (2021) · Royal Society Open Science · doi:10.1098/rsos.202049 · Cited by 330 · see citing works
Suchert, V., Hanewinkel, R., & Isensee, B. (2015) · Preventive Medicine · doi:10.1016/j.ypmed.2015.03.026 · Cited by 329 · see citing works
Choi, K. W., Stein, M. B., Nishimi, K. M., Ge, T., Coleman, J. R. I., Chen, C., Ratanatharathorn, A. D., Zheutlin, A. B., Dunn, E. C., Breen, G. D., et al. (2020) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2020.19111158 · Cited by 238 · see citing works
2. An Assessment of Alternative Measures of Time Use
Juster, F. T., Ono, H., & Stafford, F. P. (2003) · Sociological Methodology · doi:10.1111/j.0081-1750.2003.t01-1-00126.x · Cited by 234 · see citing works
He, J.-P., Burstein, M., Schmitz, A. P., & Merikangas, K. R. (2012) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-012-9696-6 · Cited by 228 · see citing works
Passive Versus Mentally Active Sedentary Behaviors and Depression
Hallgren, M. Å., Dunstan, D. W., & Owen, N. G. (2019) · Exercise and Sport Sciences Reviews · doi:10.1249/jes.0000000000000211 · Cited by 186 · see citing works
Self-citation2. Measurement Error in Stylized and Diary Data on Time Use
Kan, M., & Pudney, S. E. (2008) · Sociological Methodology · doi:10.1111/j.1467-9531.2008.00197.x · Cited by 182 · see citing works
Sanders, T., Parker, P. D., del Pozo-Cruz, B., Noetel, M., & Lonsdale, C. (2019) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-019-0881-7 · Cited by 164 · see citing works
Self-citationUsing the Short Mood and Feelings Questionnaire to Detect Depression in Detained Adolescents
Kuo, E. S., Stoep, A. V., & Stewart, D. G. (2005) · Assessment · doi:10.1177/1073191105279984 · Cited by 149 · see citing works
Sabiston, C. M., Jewett, R., Ashdown‐Franks, G., Bélanger, M. F., Brunet, J., O’Loughlin, E. K., & O’Loughlin, J. L. (2016) · Journal of Sport and Exercise Psychology · doi:10.1123/jsep.2015-0175 · Cited by 145 · see citing works
Hallgren, M. Å., Nguyen, T.-T.-D., Owen, N. G., Stubbs, B., Vancampfort, D., Lundin, A., Dunstan, D. W., Bellocco, R., & Lagerros, Y. T. (2019) · The British Journal of Psychiatry · doi:10.1192/bjp.2019.60 · Cited by 134 · see citing works
Self-citationHallgren, M. Å., Owen, N. G., Stubbs, B., Zeebari, Z., Vancampfort, D., Schuch, F. B., Bellocco, R., Dunstan, D. W., & Lagerros, Y. T. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.08.020 · Cited by 131 · see citing works
Self-citationTesting Self-Report Time-Use Diaries against Objective Instruments in Real Time
Gershuny, J., Harms, T., Doherty, A., Thomas, E., Milton, K., Kelly, P., & Foster, C. (2020) · Sociological Methodology · doi:10.1177/0081175019884591 · Cited by 124 · see citing works
Reporting Mobile Social Media Use: How Survey and Experience Sampling Measures Differ
Naab, T. K., Karnowski, V., & Schlütz, D. (2018) · Communication Methods and Measures · doi:10.1080/19312458.2018.1555799 · Cited by 93 · see citing works
Chatzitheochari, S., Fisher, K., Gilbert, E., Calderwood, L., Huskinson, T., Cleary, A., & Gershuny, J. (2017) · Social Indicators Research · doi:10.1007/s11205-017-1569-5 · Cited by 71 · see citing works
Sveen, T. H., Berg‐Nielsen, T. S., Lydersen, S., & Wichstrøm, L. (2013) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2013.04.010 · Cited by 65 · see citing works
Collaborators, O. B. O. T. I. C. A. D. (., van Ekris, E., Wijndaele, K., Altenburg, T. M., Atkin, A. J., Twisk, J. W. R., Andersen, L. B., Janz, K. F., Froberg, K., Northstone, K., et al. (2020) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-020-00960-5 · Cited by 55 · see citing works
Santos, I. K. D., Medeiros, R. C. D. S. C. D., Medeiros, J. A. D., Almeida-Neto, P. F. D., Sena, D. C. S. D., Cobucci, R. N., Oliveira, R. S., Cabral, B. G. D. A. T., & Dantas, P. M. S. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18041641 · Cited by 48 · see citing works
Kandola, A., Owen, N., Dunstan, D. W., & Hallgren, M. (2022) · Psychological Medicine · doi:10.1017/s0033291721000258 · Cited by 48 · see citing works
Self-citationScreen-based behaviors in Australian adolescents: Longitudinal trends from a 4-year follow-up study
Thomas, G., Bennie, J. A., De Cocker, K., Ireland, M. J., & Biddle, S. J. H. (2020) · Preventive Medicine · doi:10.1016/j.ypmed.2020.106258 · Cited by 39 · see citing works
Can Depression Be Prevented? If So, How?
Hoare, E., Callaly, E., & Berk, M. (2020) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2020.1273 · Cited by 33 · see citing works
Kandola, A. A., Lewis, G., Osborn, D., Stubbs, B., & Hayes, J. (2020) · Psychological Medicine · doi:10.1017/s0033291720004948 · Cited by 23 · see citing works
Self-citationThe Gini mean difference and variance
Haye, R. L., & Zizler, P. (2019) · METRON · doi:10.1007/s40300-019-00149-2 · Cited by 22 · see citing works
Gómez‐Baya, D., Calmeiro, L., Gaspar, T., Marques, A., Loureiro, N., Peralta, M., Berjano, R. M., & de Matos, M. G. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17207469 · Cited by 21 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- König H, König HH, Konnopka A. The excess costs of depression: A systematic review and meta-analysis [Internet]. Vol. 29, Epidemiology and Psychiatric Sciences. Cambridge University Press; 2019.
- Przybylski AK, Weinstein N. A Large-Scale Test of the Goldilocks Hypothesis. Psychol Sci [Internet]. 2017 Feb 13;28(2):204-15.
Cited by
Sorted by citations
The associations between screen time and mental health in adolescents: a systematic review
Santos, R. M. S., Mendes, C. G., Sen Bressani, G. Y., de Alcantara Ventura, S., de Almeida Nogueira, Y. J., de Miranda, D. M., & Romano-Silva, M. A. (2023) · BMC Psychology · doi:10.1186/s40359-023-01166-7 · Cited by 311 · see citing works
- Authors
- Kandola, A., del Pozo Cruz, B., Hayes, J. F., Owen, N., Dunstan, D. W., & Hallgren, M.
- Affiliations
- University College London (GB)
- Baker Heart and Diabetes Institute (AU)
- Karolinska Institutet (SE)
- Corresponding author
- Kandola, Aaron
- Venue
- Journal of Affective Disorders
- Publisher
- Elsevier BV
- Published
- 2022-03
- Volume
- 301
- Pages
- 240-247
- ISSN
- 0165-0327 (ISSN-L)
- OpenAlex
- W4206207690
- Cited by
- 30
- References
- 53
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 7 · 2023: 7 · 2022: 5
- FWCI
- 4.02
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Affective Disorders (publishedVersion)
- PubMed (publishedVersion)
- University of Southern Denmark Research Portal (University of Southern Denmark) (submittedVersion, cc-by-nc-nd)
- Deakin Research Online (Deakin University) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Funders
- Economic and Social Research Council (ES/P000592/1)
- National Health and Medical Research Council (1003960, 1078360)
- Wellcome Trust
- State Government of Victoria
- UCLH Biomedical Research Centre
- National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care North West Coast
- Macmillan Cancer Support
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Education › Child Development and Digital Technology
- Keywords
- adolescent mental health, screen time, physical activity, emotional distress, depression, team sports, social media, television viewing, video games, computer use, compositional data analysis, time use, Strengths and Difficulties Questionnaire
- MeSH terms
- Adolescent Health, Screen Time, Psychological Distress, Team Sports, Adolescent, Psychology, Adolescent, Computers, Female, Humans, Male, Mental Health, Prospective Studies, Sports, Television, Exercise, Video Games, Sedentary Behavior, Social Media
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review