Evidence map›Paper›PMID 31384688›Full record

ArticleHeliyon2019

Smartphone use and study behavior: A Korean and Australian comparison.

Heather Winskel, Tae-Hoon Kim, Lauren Kardash, Ivanka Belic

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
25.0field-weighted citation impact, top 1% 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 72 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

Heather WinskelPsychology, Health and Human Sciences, Southern Cross University, Coffs Harbour, NSW, 2450, Australia.
Tae-Hoon KimPsychology, Kyungnam University, Changwon, South Korea.
Lauren KardashPsychology, Health and Human Sciences, Southern Cross University, Coffs Harbour, NSW, 2450, Australia.
Ivanka BelicPsychology, Health and Human Sciences, Southern Cross University, Coffs Harbour, NSW, 2450, Australia.
Southern Cross University · AUKyungnam University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smartphone use amongst university students is widespread and a common practice while studying. However, this usage can lead to academic performance costs. This study examined the relationship between smartphone use during study, problematic smartphone use and academic performance in Korean and Australian university students. 119 Korean and 270 Australian students aged between 18 and 26 years completed a survey comprised of a smartphone usage questionnaire, smartphone addiction scale and self-report of their current GPA score. Average smartphone use and problematic smartphone use were found to be significantly higher for Korean compared to Australian students. A positive relationship was found between smartphone use and problematic smartphone use. For Australian students, a negative relationship was found between smartphone use and GPA. Results indicate that smartphone use and smartphone addiction proneness are currently higher for Korean students compared to Australian students. Furthermore, the more time a student spends using their smartphone, the more at risk they are for problematic smartphone use and possible academic performance costs.

Indexed as

Academic performanceCross-cultural comparisonProblematic smartphone usePsychologySmartphone addiction pronenessSmartphone usageStudy behaviorUniversity student

Identifiers

PMID31384688
PMCPMC6661454
OpenAlexW2965585041

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.