Evidence map›Paper›PMID 36427199›Full record

ArticleJournal of behavioral addictions2022

Temporal associations between physical activity and three types of problematic use of the internet: A six-month longitudinal study.

Po-Ching Huang, Jung-Sheng Chen, Marc N Potenza, Mark D Griffiths, Amir H Pakpour, Ji-Kang Chen, Yi-Ching Lin, Ching-Hsia Hung, Kerry S O'Brien, Chung-Ying Lin

Abstract read
In one paragraph

Article in Journal of behavioral addictions, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–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

33 citing papers in PubMed, 1 synthesis or guideline 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

10 authors.

Po-Ching Huang1Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.ORCID 0000-0002-2047-2246
Jung-Sheng Chen2Department of Medical Research, E-Da Hospital, Kaohsiung, Taiwan.ORCID 0000-0003-3187-9479
Marc N Potenza3Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.ORCID 0000-0002-6323-1354
Mark D Griffiths9International Gaming Research Unit, Psychology Department, Nottingham Trent University, Nottingham, UK.ORCID 0000-0001-8880-6524
Amir H Pakpour10Department of Nursing, School of Health and Welfare, Jönköping University, Jönköping, Sweden.ORCID 0000-0002-8798-5345
Ji-Kang Chen11Department of Social Work, Chinese University of Hong Kong, New Territories, Hong Kong.ORCID 0000-0001-7762-3888
Yi-Ching Lin12Department of Early Childhood and Family Education, National Taipei University of Education, Taipei, Taiwan.ORCID 0000-0002-6835-7116
Ching-Hsia Hung1Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.ORCID 0000-0001-6316-4342
Kerry S O'Brien14School of Social Sciences, Monash University, Melbourne 3800, Australia.ORCID 0000-0003-3145-6038
Chung-Ying Lin1Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.ORCID 0000-0002-2129-4242

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Background and aims: Internet use has become an important part of daily living. However, for a minority it may become problematic. Moreover, problematic use of the Internet/smartphone (PUIS) has been associated with low physical activity. The present study investigated the temporal associations between three types of PUIS (i.e., problematic smartphone use [PSPU], problematic social media use [PSMU] and problematic gaming [PG]) and physical activity among Taiwanese university students. Methods: A six-month longitudinal survey study comprising three time points for assessments was conducted. From the original 974 participants, a total of 452 completed all three waves of an online survey comprising the International Physical Activity Questionnaire Short Form (IPAQ-SF) assessing physical activity level, Smartphone Application-Based Addiction Scale (SABAS) assessing PSPU, Bergen Social Media Addiction Scale (BSMAS) assessing PSMU, and Internet Gaming Disorder Short Form (IGDS9-SF) assessing PG. Results: The linear mixed effects model found positive temporal associations of PSMU and PG with physical activity level (PSMU: B = 85.88, SE = 26.24; P = 0.001; PG: B = 36.81, SE = 15.17; P = 0.02). PSPU was not associated with physical activity level (B = 40.54, SE = 22.99; P = 0.08). Additionally, the prevalence rates were 44.4% for at-risk/PSPU, 24.6% for at-risk/PSMU, and 12.3% for at-risk/PG. Discussion and Conclusions: PSMU and PG unexpectedly demonstrated correlations with higher physical activity level. The nature of these relationships warrants additional investigation into the underlying mechanisms in order to promote healthy lifestyles among university students.

Indexed as

Social MediaVideo GamesHumansInternetLongitudinal StudiesSmartphoneSurveys and Questionnairesbehavioral addictionsInternet addictionphysical activityproblematic gamingproblematic Internet useproblematic smartphone useproblematic social media usevideo games

Identifiers

PMID36427199
PMCPMC9881666

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.