Evidence map›Paper›PMID 33975543›Full record

ArticleBMC neuroscience2021

Time spent on the smartphone does not relate to manual dexterity in young adults.

Luca Petrigna, Milda Treigienė, Ewan Thomas, Diba Mani, Simona Pajaujiene, Patrik Drid, Gioacchino Lavanco, Antonio Palma, Antonino Bianco

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Fine motor skills and motor control networking in developmental age.American journal of human biology : the official journal of the Human Biology Council · 2022
    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

9 authors at 4 institutions in 4 countries.

Luca PetrignaSport and Exercise Research Unit, Department of Psychology, Educational Science and Human Movement, University of Palermo, Via Giovanni Pascoli 6, 90144, Palermo, Italy. lucapetrigna@gmail.com.ORCID 0000-0002-8106-537X
Milda TreigienėDepartment of Coaching Science, Lithuanian Sports University, Kaunas, Lithuania.
Ewan ThomasSport and Exercise Research Unit, Department of Psychology, Educational Science and Human Movement, University of Palermo, Via Giovanni Pascoli 6, 90144, Palermo, Italy.
Diba ManiDepartment of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, 32608, USA.
Simona PajaujieneDepartment of Coaching Science, Lithuanian Sports University, Kaunas, Lithuania.
Patrik DridFaculty of Sport and Physical Education, University of Novi Sad, Lovcenska 16, 21000, Novi Sad, Serbia.
Gioacchino LavancoSport and Exercise Research Unit, Department of Psychology, Educational Science and Human Movement, University of Palermo, Via Giovanni Pascoli 6, 90144, Palermo, Italy.
Antonio PalmaSport and Exercise Research Unit, Department of Psychology, Educational Science and Human Movement, University of Palermo, Via Giovanni Pascoli 6, 90144, Palermo, Italy.
Antonino BiancoSport and Exercise Research Unit, Department of Psychology, Educational Science and Human Movement, University of Palermo, Via Giovanni Pascoli 6, 90144, Palermo, Italy.
University of Palermo · ITLithuanian Sports University · LTUniversity of Florida · USUniversity of Novi Sad · RS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Grooved Pegboard Test (GPT) is widely adopted to evaluate manual dexterity, it presents normative data but the test is influenced by different factors. The influence of time spent on smartphones has not been considered before, for this reason, the objective of this study was to evaluate if smartphone use influences the time to complete the GPT. A total of 38 (21 women; 17 men) young adults 20.7 (1.5) years participated in the study. The time spent on the smartphones during the last seven days was recorded through the device itself and the GPT performance was measured. A correlation analysis between the time spent on the smartphone and GPT was performed while the t-test was adopted to evaluate gender differences.

resultsNo statistically significant differences were detected between men and women in the time to complete the GPT (p = 0.20) and in the time spent on the smartphone (p = 0.87). The GPT and the time spent using the smartphone were not correlated (r = 0.044, p = 0.78).

conclusionThe time spent on the smartphone by young adults does not influence the time to complete the GPT, indicating that smartphone use does not influence measures of manual dexterity.

Indexed as

FemaleHumansMaleMotor SkillsSmartphoneTime FactorsYoung AdultCognitive functionGrooved pegboard testManual dexterityMobile phonePhone

Identifiers

PMID33975543
PMCPMC8111913
OpenAlexW3160937937

What Socratic 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 Socratic graph.