Evidence map›Paper›PMID 37053175›Full record

SynthesisPloS one2023

Validated assessment tools for screen media use: A systematic review.

Oriana Perez, Tatyana Garza, Olivia Hindera, Alicia Beltran, Salma M Musaad, Tracey Dibbs, Anu Singh, Shria Chug, Amy Sisson, Anil Kumar Vadathya and 2 more

Abstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Objective Assessment of Media Screens Effect on Physical Activity in Preschool Children.IEEE access : practical innovations, open solutions · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Review
  12. Observational
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Oriana PerezUSDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, Texas, United States of America.
Tatyana GarzaUSDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, Texas, United States of America.
Olivia HinderaBaylor College of Medicine, Houston, Texas, United States of America.
Alicia BeltranUSDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, Texas, United States of America.
Salma M MusaadUSDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, Texas, United States of America.
Tracey DibbsRice University, Houston, Texas, United States of America.
Anu SinghRice University, Houston, Texas, United States of America.ORCID 0000-0002-8415-6947
Shria ChugRice University, Houston, Texas, United States of America.
Amy SissonThe Texas Medical Center Library, Houston, Texas, United States of America.ORCID 0000-0002-0553-4373
Anil Kumar VadathyaRice University, Electrical & Computer Engineering, Houston, Texas, United States of America.
Tom BaranowskiUSDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, Texas, United States of America.
Teresia M O'ConnorUSDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, Texas, United States of America.ORCID 0000-0002-3231-8481

Funding

Development and Validation of an Automated Measurement of Child Screen Media Use: FLASHR01DK113269 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI O'CONNOR, TERESIA MARGARETA, VEERARAGHAVAN, ASHOK · 2017 to 2021
$2.4M
NIDDK NIH HHS R01 DK113269
6 · The paper itself

Abstract

objectiveAccurate measurement of adult and child screen media use are needed to robustly assess its impact on health outcomes. Our objective was to systematically review screen media use measurement tools that have been validated against an objective "gold standard" tool.

methodsThe search strategy was initially conducted in Medline Ovid and translated to Embase, Web of Science, PsychInfo and Cochrane. A modified natural language search was conducted in Google Scholar and IEEE. The initial search was conducted in March 2021, and an updated search was conducted in June 2022. Additional studies were included from the references. Studies had to describe the validation of a tool to measure screen media use on participants of any age against a 'gold standard' or comparable objective measure. The COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) was used to assess the criterion validity. Four authors reviewed the titles in two rounds and extracted data.

resultsTwenty-nine articles were included in the review. Studies measured TV, computer, mobile device and social media site screen media use through: self or parent report, direct or video observation, computer and mobile device use tracking programs, and through other novel devices such as wearable devices and cameras. Correlations of self or parent report of screen media with the gold standard were lower than correlations of technology-based measures, and video observation with the gold standard. The COSMIN criterion validity ratings ranged from poor to excellent; most of the studies received a global score of fair or poor.

conclusionsTechnology based validated tools that more directly measure screen use are emerging that have been validated against a gold standard for measuring screen use. However, practical, objective measures of diverse types of screen media use that have been tested on diverse populations are needed to better understand the impact of screen media use on the development and physical and mental health of children and adults.

Indexed as

Computers, HandheldChildHumansReference Standards

Identifiers

PMID37053175
PMCPMC10101444

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.