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Screen Time and Standardized Academic Achievement Tests in Elementary School

2025· article· en· W4415052387 on OpenAlexafffundabout
Xuedi Li, Charles Keown‐Stoneman, Jessica Omand, Katherine Tombeau Cost, Kelly Gallagher‐Mackay, Jennifer Hove, Magdalena Janus, Daphne J. Korczak, Eleanor Pullenayegum, Kimberley C. Tsujimoto, Leigh M. Vanderloo, Jonathon L. Maguire, Catherine S. Birken, Christopher Allen, Laura N. Anderson, Danielle D’Annunzio, Michelle S. Goodman, Jameela Kassam, Michelle Mitchell, Marc Denzel-Nunez, Mateenah Roksandic, Sharon Thadani, Nusrat Zaffar, Mary Aglipay, Imaan Bayoumi, Cornelia M. Borkhoff, Rahul Chanchlani, Alice Charach, Larissa Chomka, Curtis J. D’Hollander, Anne Fuller, Benita Hosseini, Kiki Hudson, Tatjana Kay, Sahar Khademioore, Fatemeh Khorramrouz, Laura M. Kinlin, Michaela Kucab, Rebecca Le, Patricia Li, Paraskevi Massara, Pat Parkin, Nav Persaud, Sarah Rae, Katia J. Sinopoli, Kevin Thorpe, Peter Wong, Piyumi K. Mudiyanselage, Carol Lee, Yulika Yoshida‐Montezuma, Durdana Akhter, Pamela Ruth Flores, Ofri Hayosh, M. Sazzad Hussain, S Loganathan, Laurie Thompson, Jennifer Batten, Jennifer A. Chan, Kim De Castris‐Garcia, Maureen Colford, Sharon Dharman, Sarah A. Kelleher, Salimah Nasser, Tammara Pabon, Michelle Rhodes, Rafael Salsa, Julie Skelding, Daniel Stern, Kerry J. Stewart, Erika Tavares, Shannon Weir-Seeley, Maria Zaccaria-Cho, A Ameer, Isolde Ardies, Soliana Lijiam, William B. Mazin, Ariella Poliszuk, Tahira Rajwani, R Wu, Eric Duku, Amanda Offord, Patricia Raso, Caroline Reid‐Westoby, Emy Abraham, Farah Alì, Hailey Barootes, Tony Barozzino, Sylvie Bergeron, Melanie Beswick, Seema Bhandarkar, Tali Bogler, Caroline Calpin, Douglas Campbell, Sohail Cheema, Brian Chisamore, Justine Cohen-Silver, Karoon Danayan, Anh Do, Allison Farber, Sloane Freeman, Ryan Giroux, Archana Gupta, Leah Harrington, Karl Igar, Emma Jeavons, Puneeta Khurana, Eddy Lau, Renata Leong, Jennifer E. McCabe, Aleks Meret, Annette Miller, Sharon Mintz, Rosemary Moodie, Navyn Naran, D. O'Sullivan, Sureka Paramaguru, Eliza Pope, Michelle Porepa, Julia Rackal, Evelyn Rozenblyum, Lorna Sampson, Manjot Sarao, Janet Saunderson, Michael Sgro, Desmond She, Chantal Sorhaindo, Karen Swirsky, Mathura Thevarajah, Philip Tsang, Cheng Wang, Karen Weyman, Patricia Windrim, Jonathan Wong, Dongping Wu, Ethel Ying, Elizabeth Young, Esmot Ara Begum, Marzena Boczulak, Nilifa Desilva, Gurpreet Lakhanpal, Hamed Moazami, George S. Charames, Andrea Djolovic, Chelsea Gorscak-Dunn

Bibliographic record

VenueJAMA Network Open · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsGovernment of OntarioWilfrid Laurier UniversityMcMaster UniversityToronto Metropolitan UniversitySickKids FoundationUniversity of TorontoWestern UniversitySt. Michael's HospitalInstitute for Clinical Evaluative SciencesPublic Health OntarioHospital for Sick Children
FundersCanadian Institutes of Health ResearchHospital for Sick ChildrenUniversity of TorontoHeart and Stroke Foundation of Canada
KeywordsStandardized testAcademic achievementScreen timeReading (process)Psychological interventionAchievement testTest (biology)

Abstract

fetched live from OpenAlex

Importance: Few studies have investigated the longitudinal associations between different types of screen time in young children and academic achievement in elementary school. Objective: To examine whether there is an association between screen time in young children and standardized academic achievement tests in grades 3 and 6. Design, Setting, and Participants: This prospective cohort study was conducted among children participating in the TARGet Kids! primary care cohort in Ontario, Canada, between July 2008 and June 2023. Participant data were linked to annual grades 3 and 6 provincial standardized academic achievement test results. Exposures: Parent-reported child total screen time, TV and digital media time, and video gaming time. The screen time measurement closest before the outcome was used. Main Outcomes and Measures: Academic achievement levels on standardized tests in reading, writing, and math for grades 3 and 6 were classified as below, at, or above the Ontario provincial standard. Results: This study included 3322 grade 3 children (mean [SD] age at test, 8.86 [0.28] years; 1714 [51.6%] male students) and 2084 grade 6 children (mean [SD] age at test, 11.86 [0.28] years; 1070 [51.3%] male students). Screen time was measured at mean (SD) age of 5.54 (2.36) years for grade 3 children and 7.54 (2.90) years for grade 6 children. From adjusted proportional odds models, each additional hour of total screen time was associated with 9% to 10% lower odds of achieving a higher academic level in grade 3 reading (odds ratio [OR], 0.91; 95% CI, 0.86-0.96; P = .001), grade 3 math (OR, 0.91; 95% CI, 0.86-0.96; P < .001), and grade 6 math (OR, 0.90; 95% CI, 0.84-0.96; P = .002). Similarly, higher TV and digital media time was associated with lower achievement levels in grade 3 reading and math and grade 6 math. Video game use was associated with lower achievement level in grade 3 reading (OR, 0.77; 95% CI, 0.62-0.94; P = .01). In the sex-stratified analysis, video game use among female students was associated with lower grade 3 reading and math achievement. Conclusions and Relevance: In this prospective cohort study of Canadian children recruited from primary care settings, high levels of total screen time and TV and digital media in young children were associated with lower achievement levels in reading and math on standardized tests in elementary school. Early interventions to reduce screen time exposure should be developed and tested to enhance academic achievement in elementary school.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.341
Threshold uncertainty score0.424

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.326
Teacher spread0.310 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations4
Published2025
Admission routes3
Has abstractyes

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