Associations of Contemporary Screen Time Modalities With Early Adolescent Nutrition.

Jason M Nagata, Shayna Weinstein, Ammal Bashir, Seohyeong Lee, Abubakr A A Al-Shoaibi, Iris Yuefan Shao, Kyle T Ganson, Alexander Testa, Jinbo He, Andrea K Garber
Author Information
  1. Jason M Nagata: Department of Pediatrics (JM Nagata, S Weinstein, A Bashir, S Lee, AAA Al-shoaibi, IY Shao, and AK Garber), University of California, San Francisco. Electronic address: jason.nagata@ucsf.edu.
  2. Shayna Weinstein: Department of Pediatrics (JM Nagata, S Weinstein, A Bashir, S Lee, AAA Al-shoaibi, IY Shao, and AK Garber), University of California, San Francisco.
  3. Ammal Bashir: Department of Pediatrics (JM Nagata, S Weinstein, A Bashir, S Lee, AAA Al-shoaibi, IY Shao, and AK Garber), University of California, San Francisco.
  4. Seohyeong Lee: Department of Pediatrics (JM Nagata, S Weinstein, A Bashir, S Lee, AAA Al-shoaibi, IY Shao, and AK Garber), University of California, San Francisco.
  5. Abubakr A A Al-Shoaibi: Department of Pediatrics (JM Nagata, S Weinstein, A Bashir, S Lee, AAA Al-shoaibi, IY Shao, and AK Garber), University of California, San Francisco.
  6. Iris Yuefan Shao: Department of Pediatrics (JM Nagata, S Weinstein, A Bashir, S Lee, AAA Al-shoaibi, IY Shao, and AK Garber), University of California, San Francisco.
  7. Kyle T Ganson: Factor-Inwentash Faculty of Social Work (KT Ganson), University of Toronto, Ontario, Canada.
  8. Alexander Testa: Department of Management, Policy and Community Health (A Testa), University of Texas Health Science Center at Houston.
  9. Jinbo He: School of Humanities and Social Science (J He), The Chinese University of Hong Kong, Shenzhen, Guangdong, China.
  10. Andrea K Garber: Department of Pediatrics (JM Nagata, S Weinstein, A Bashir, S Lee, AAA Al-shoaibi, IY Shao, and AK Garber), University of California, San Francisco.

Abstract

OBJECTIVE: To determine the associations between screen time across several contemporary screen modalities (eg, television, video games, text, video chat, social media) and adherence to the Mediterranean-DASH (dietary approaches to Stop Hypertension) intervention for Neurodegenerative Delay (MIND) diet in early adolescents.
METHODS: We analyzed data from the Adolescent Brain Cognitive Development study of 9 to 12-year-old adolescents in the United States. Multiple linear regression analyses examined the relationship between self-reported screen time measures at baseline (year 0) and the 1-year follow-up (year 1) and caregiver-reported nutrition assessments at year 1, providing a prospective and cross-sectional analysis. Cross-sectional marginal predicted probabilities were calculated.
RESULTS: In a sample of 8267 adolescents (49.0% female, 56.9% white), mean age 10 years, total screen time increased from 3.80 h/d at year 0 to 4.61 h/d at year 1. Change in total screen time from year 0 and year 1 was associated with lower nutrition scores at year 1.
PROSPECTIVE: Screen time spent on television, video games, and videos at year 0 was associated with lower nutrition scores at year 1. Cross-sectional: Screen time spent on television, video games, videos, texting, and social media at year 1 was associated with lower MIND diet scores at year 1.
CONCLUSIONS: Both traditional (television) and several contemporary modalities of screen time are associated, prospectively and cross-sectionally, with lower overall diet quality, measured by the MIND diet nutrition score, in early adolescents. Future studies should further explore the effect of rising digital platforms and media on overall adolescent nutrition.

Keywords

References

  1. Am J Clin Nutr. 2014 Oct;100(4):1173-81 [PMID: 25240080]
  2. Int J Behav Med. 2023 Feb;30(1):122-132 [PMID: 35275347]
  3. Int J Behav Nutr Phys Act. 2021 Jun 5;18(1):72 [PMID: 34090469]
  4. J Acad Nutr Diet. 2018 Sep;118(9):1591-1602 [PMID: 30146071]
  5. J Nutr. 2022 Sep 6;152(9):2109-2116 [PMID: 35511219]
  6. J Pediatr. 2022 Jan;240:213-220.e2 [PMID: 34481807]
  7. Crit Rev Food Sci Nutr. 2022;62(29):8059-8077 [PMID: 33989093]
  8. Lancet. 2022 Jan 8;399(10320):172-184 [PMID: 34856190]
  9. Appetite. 2022 Apr 1;171:105928 [PMID: 35051544]
  10. BMC Public Health. 2020 Aug 26;20(1):1295 [PMID: 32847553]
  11. Int J Pediatr Obes. 2008;3(3):168-76 [PMID: 19086298]
  12. Annu Rev Psychol. 2001;52:83-110 [PMID: 11148300]
  13. Alzheimers Dement. 2015 Sep;11(9):1015-22 [PMID: 26086182]
  14. N C Med J. 2019 Mar-Apr;80(2):69-75 [PMID: 30877151]
  15. Dev Cogn Neurosci. 2021 Dec;52:101031 [PMID: 34742018]
  16. BMJ Open. 2022 May 19;12(5):e058913 [PMID: 35589343]
  17. JMIR Pediatr Parent. 2021 Nov 25;4(4):e30160 [PMID: 34842561]
  18. Nutrition. 2013 Nov-Dec;29(11-12):1362-7 [PMID: 24103514]
  19. Int J Behav Nutr Phys Act. 2013 Jan 25;10:9 [PMID: 23351357]
  20. Dev Cogn Neurosci. 2018 Aug;32:107-120 [PMID: 29627333]
  21. Public Health Nutr. 2022 Feb;25(2):358-367 [PMID: 32878656]
  22. Evid Based Dent. 2019 Dec;20(4):115-116 [PMID: 31863047]
  23. Dev Cogn Neurosci. 2021 Dec;52:101021 [PMID: 34700197]
  24. Dev Cogn Neurosci. 2018 Aug;32:55-66 [PMID: 29113758]
  25. Environ Res. 2018 Jul;164:149-157 [PMID: 29499467]
  26. Br J Nutr. 2004 Oct;92 Suppl 2:S213-22 [PMID: 15522159]
  27. Am J Clin Nutr. 2021 Nov 8;114(5):1791-1801 [PMID: 34258617]
  28. Pediatr Rev. 2000 Aug;21(8):265-71 [PMID: 10922023]
  29. Front Pediatr. 2022 Nov 01;10:959643 [PMID: 36389385]
  30. Eat Weight Disord. 2014 Dec;19(4):515-20 [PMID: 24821488]
  31. Dev Cogn Neurosci. 2018 Aug;32:16-22 [PMID: 29703560]
  32. Prev Med Rep. 2018 Oct 18;12:271-283 [PMID: 30406005]
  33. Public Health Nutr. 2018 Dec;21(17):3210-3215 [PMID: 30086811]
  34. Eur J Clin Nutr. 2018 Feb;72(2):185-197 [PMID: 29259338]
  35. J Pediatr Psychol. 2016 May;41(4):429-40 [PMID: 25972373]
  36. Pediatrics. 2016 Nov;138(5): [PMID: 27940794]

Grants

  1. U24 DA041147/NIDA NIH HHS
  2. U01 DA041120/NIDA NIH HHS
  3. R01 MH135492/NIMH NIH HHS
  4. U01 DA041093/NIDA NIH HHS
  5. U24 DA041123/NIDA NIH HHS
  6. U01 DA041156/NIDA NIH HHS
  7. K08 HL159350/NHLBI NIH HHS
  8. U01 DA041025/NIDA NIH HHS
  9. U01 DA041089/NIDA NIH HHS
  10. U01 DA041106/NIDA NIH HHS
  11. U01 DA041117/NIDA NIH HHS
  12. U01 DA041148/NIDA NIH HHS
  13. U01 DA041174/NIDA NIH HHS
  14. U01 DA041134/NIDA NIH HHS
  15. U01 DA041022/NIDA NIH HHS
  16. U01 DA041028/NIDA NIH HHS
  17. U01 DA041048/NIDA NIH HHS

MeSH Term

Humans
Female
Screen Time
Male
Video Games
Child
Television
Cross-Sectional Studies
Prospective Studies
Social Media
Adolescent
Text Messaging
Linear Models
Diet, Mediterranean
Nutritional Status
United States
Nutrition Assessment

Word Cloud

Created with Highcharts 10.0.0yeartime1screennutritiondiettelevisionvideoadolescents0associatedlowergamesmediaMINDscoresScreenseveralcontemporarymodalitiessocialapproachesstopneurodegenerativedelayearlyAdolescenttotalspentvideosoveralladolescentOBJECTIVE:determineassociationsacrossegtextchatadherenceMediterranean-DASHdietaryhypertensioninterventionMETHODS:analyzeddataBrainCognitiveDevelopmentstudy912-year-oldUnitedStatesMultiplelinearregressionanalysesexaminedrelationshipself-reportedmeasuresbaseline1-yearfollow-upcaregiver-reportedassessmentsprovidingprospectivecross-sectionalanalysisCross-sectionalmarginalpredictedprobabilitiescalculatedRESULTS:sample8267490%female569%whitemeanage10yearsincreased380 h/d at461 h/d atChangePROSPECTIVE:Cross-sectional:textingCONCLUSIONS:traditionalprospectivelycross-sectionallyqualitymeasuredscoreFuturestudiesexploreeffectrisingdigitalplatformsAssociationsContemporaryTimeModalitiesEarlyNutritionMediterranean-dietaryhypertension intervention

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