Evidence map›Paper›PMID 32429550›Full record

ArticleInternational journal of environmental research and public health2020

Associations of Objectively-Assessed Smartphone Use with Physical Activity, Sedentary Behavior, Mood, and Sleep Quality in Young Adults: A Cross-Sectional Study.

Moisés Grimaldi-Puyana, José María Fernández-Batanero, Curtis Fennell, Borja Sañudo

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
7.6field-weighted citation impact, top 2% 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

50 citing papers in PubMed, 1 synthesis or guideline pooled it, 89 citations in OpenAlex.

  1. Physical Activity and Sleep Quality Association in Different Populations: A Meta-Analysis.International journal of environmental research and public health · 2023
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  18. Viewing distance, font size and symptoms of eyestrain in non-presbyopic and presbyopic smartphone users.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2025
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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.

Moisés Grimaldi-PuyanaDepartment of Physical Education and Sports, Faculty of Educational Sciences, Universidad de Sevilla, 41013 Seville, Spain.ORCID 0000-0003-4722-1532
José María Fernández-BataneroDepartment of Didactics and School Organization, University of Sevilla, 41013 Sevilla, Spain.ORCID 0000-0003-4097-5382
Curtis FennellDepartment of Exercise and Nutrition Science, University of Montevallo, Montevallo, AL 35115, USA.ORCID 0000-0002-8873-883X
Borja SañudoDepartment of Physical Education and Sports, Faculty of Educational Sciences, Universidad de Sevilla, 41013 Seville, Spain.ORCID 0000-0002-9969-9573
Universidad de Sevilla · ESUniversity of Montevallo · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study assesses the associations of objectively-measured smartphone time with physical activity, sedentary behavior, mood, and sleep patterns among young adults by collecting real-time data of the smartphone screen-state. The sample consisted of 306 college-aged students (mean age ± SD: 20.7 ± 1.4 years; 60% males). Over seven days of time, the following variables were measured in the participants: objectively-measured smartphone use (Your Hour and Screen Time applications), objective and subjective physical activity (GoogleFit and Apple Health applications, and the International Physical Activity Questionnaire (IPAQ), respectively), the number of hours sitting (IPAQ), mood (The Profile of Mood State (POMS)), and sleep (The Pittsburgh Sleep Quality Index (PSQI)). Multiple regressions analyses showed that the number of hours sitting per day, physical activity, and the POMS Global Score significantly predicted smartphone use (adj.R2 = 0.15). Further, participants with low levels of physical activity were more likely to increase the use of smartphones (OR = 2.981). Moreover, mood state (

Indexed as

AffectExerciseSedentary BehaviorAdultCross-Sectional StudiesFemaleHumansMaleSleepSmartphoneSpainYoung Adultfitnessscreen timesedentary behaviorsleep patternssmartphone use

Identifiers

PMID32429550
PMCPMC7277080
OpenAlexW3024888328

What OpenQuestion 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 OpenQuestion graph.