Evidence map›Paper›PMID 35502506›Full record

ArticleJournal of Korean medical science2022

The Association Between Temperament and Characteristics, Smartphone App Use Patterns and Academic Performance of University Students.

Jea Woog Lee, Sung Je Park, Soyeon Kim, Un Sun Chung, Doug Hyun Han

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Jea Woog LeeCollege of Sport Science, Chung-Ang University, Anseong, Korea.ORCID https://orcid.org/0000-0001-8112-407X
Sung Je ParkCollege of Sport Science, Chung-Ang University, Anseong, Korea.ORCID https://orcid.org/0000-0002-8459-0188
Soyeon KimDepartment of Psychiatry, Chung-Ang University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-2753-0875
Un Sun ChungDepartment of Psychiatry, Kyungpook National University, School of Medicine, Daegu, Korea.ORCID https://orcid.org/0000-0003-3871-1425
Doug Hyun HanDepartment of Psychiatry, Chung-Ang University School of Medicine, Seoul, Korea. hduk70@gmail.com.ORCID https://orcid.org/0000-0002-8314-0767

Funding

Chung-Ang University
6 · The paper itself

Abstract

backgroundSmartphone use patterns may predict daily life efficacy and performance improvements in sports. Additionally, personal characteristics may be associated with smartphone overuse.

methodsWe investigated the correlation between the temperament and character inventory (TCI) and academic performance using smartphone log data. We hypothesized that the elite and general groups, divided based on academic performance, differed according to the TCI and downloadable smartphone apps (applications). Additionally, we hypothesized a correlation between smartphone app usage patterns and TCI. A total of 151 students provided smartphone log data of the previous four weeks. They also completed the TCI and provided academic records of the previous year.

resultsThe first and second most frequently used apps by both groups of students were social networking and entertainment, respectively. Elite students scored higher on novelty seeking, reward dependence, persistence, self-directedness, and self-transcendence than general students. In all participants, the usage time of serious apps was correlated with the scores for novelty seeking (r = 0.32,

conclusionHigh usage time of serious apps can help sports majors to excel academically. Particularly among sports majors, serious apps are related to activity, the desire for rewards and recognition, and the tendency to transcend themselves.

Indexed as

Academic PerformanceMobile ApplicationsHumansPersonality InventoryStudentsTemperamentUniversitiesData ScienceNovelty SeekingReward DependenceSerious AppSmartphone Log DataTemperament and Character Inventory

Identifiers

PMID35502506
PMCPMC9062277

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LicenceCC BY-NC
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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.