Evidence map›Paper›PMID 34904744›Full record

ArticleThe International journal of eating disorders2022

Digital technology use and muscle-building behaviors in young adults.

Jason M Nagata, Vivienne M Hazzard, Kyle T Ganson, Samantha L Hahn, Dianne Neumark-Sztainer, Marla E Eisenberg

Open access · greenAbstract read
In one paragraph

Article in The International journal of eating disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 20% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
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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

6 authors at 3 institutions in 2 countries.

Jason M NagataDivision of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco, California, USA.ORCID 0000-0002-6541-0604
Vivienne M HazzardDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0003-3933-1766
Kyle T GansonFactor-Inwentash Faculty of Social Work, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0003-3889-3716
Samantha L HahnDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0002-9553-0383
Dianne Neumark-SztainerDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0001-9435-1669
Marla E EisenbergDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0002-7730-4913
University of Minnesota · USUniversity of California, San Francisco · USUniversity of Toronto · CA

Funding

Eating, Activity, and Weight-Related Problems Across the Life Course in Diverse PopulationsR35HL139853 · NHLBI · UNIVERSITY OF MINNESOTA · PI NEUMARK-SZTAINER, DIANNE R · 2018 to 2024
$6.4M
Regional Postdoctoral Training Grant in Eating Disorders ResearchT32MH082761 · NIMH · UNIVERSITY OF MINNESOTA · PI CAROL B. PETERSON · 2009 to 2026
$6.2M
Project EAT-III: Eating Among Teens and Young AdultsR01HL084064 · NHLBI · UNIVERSITY OF MINNESOTA · PI NEUMARK-SZTAINER, DIANNE R · 2007 to 2011
$3.4M
Informing national guidelines on adolescent and young adult physical activity and sedentary behavior to prevent cardiovascular diseaseK08HL159350 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI NAGATA, JASON M · 2021 to 2025
$869k
NHLBI NIH HHS K08 HL159350NHLBI NIH HHS K08HL159350NHLBI NIH HHS R01 HL084064NHLBI NIH HHS R01HL084064NHLBI NIH HHS R35 HL139853NHLBI NIH HHS R35HL139853NIMH NIH HHS T32 MH082761NIMH NIH HHS T32MH082761
6 · The paper itself

Abstract

objectiveDigital technology use and muscle-building behaviors reflect a wide range of behaviors with associated health risks. However, links between digital technology use and muscle-building behaviors remain unknown and this study aimed to address this gap.

methodData were collected from a diverse sample of 1,483 young adults (mean age 22.2 ± 2.0 years) participating in the population-based Eating and Activity over Time 2018 study. Gender-stratified-modified Poisson regression models were used to determine cross-sectional associations between three types of digital technology use (screen time, social media, weight-related self-monitoring apps) and five types of muscle-building behaviors (changing eating, exercise, protein powders/shakes, pre-workout drinks, steroids/growth hormone/creatine/amino acids) in young adulthood, adjusted for sociodemographic characteristics and body mass index.

resultsScreen time and social media were either not found to be associated with muscle-building behaviors or in a few instances, associated with less use of these behaviors (e.g., screen time and pre-workout drinks in men). In contrast, the use of weight-related self-monitoring apps was positively associated with all muscle-building behaviors, including steroids/growth hormone/creatine/amino acids in men (prevalence ratio [PR] = 1.83; 95% confidence interval [CI]: 1.13-2.97) and women (PR = 4.43; 95% CI: 1.68-11.68). DISCUSSION: While most recreational screen time may represent sedentary behaviors not related to muscle-building behaviors, weight-related self-monitoring apps are highly associated with more muscle-building behaviors and could be a future target for interventions to discourage the use of steroids and other harmful muscle-building substances.

Indexed as

Digital TechnologyFeeding BehaviorAdultCross-Sectional StudiesExerciseFemaleHumansMaleMusclesYoung Adultanabolic-androgenic steroidsappsmuscle-enhancing behaviorperformance-enhancing substancesproteinscreen timesocial media

Identifiers

PMID34904744
PMCPMC9023317
OpenAlexW4200521310

What OpenQuestion holds

Textmetadata
LicenceTDM
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.