Evidence map›Paper›PMID 38559580›Full record

ArticleDigital health

Testing the validity of the smartphone pervasiveness scale for adolescents with self-reported objective smartphone use data.

Shobhik Chakraborty, Marco Gui, Tiziano Gerosa, Laura Marciano

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Shobhik ChakrabortyDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, USA.
Marco GuiDepartment of Sociology and Social Research, University of Milano - Bicocca, Milan, Italy.ORCID https://orcid.org/0000-0003-2411-999X
Tiziano GerosaDepartment of Environment Constructions and Design, Institute of Applied Sustainability to the Built Environment, University of Applied Sciences and Arts of Southern Switzerland, Manno, Switzerland.
Laura MarcianoLee Kum Sheung Center for Health and Happiness and Dana Farber Cancer Institute, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID https://orcid.org/0000-0002-8034-3227

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An ongoing and heated scientific debate pertains to the conceptualization and quantification of adolescents' problematic smartphone use (PSU). To address the limitations of existing surveys, the smartphone pervasiveness scale for adolescents (SPS-A) has been designed to measure the subjective frequency of smartphone usage during significant moments within daily routines. Given the weak correlations in prior literature between self-reported PSU metrics and objective use data, this study investigates the relationships between diverse self-reported objective metrics of smartphone engagement-that is duration, frequency, and count of notifications-and the SPS-A scale, employing a cohort of Swiss adolescents (

Indexed as

adolescentslog dataself-reportSmartphonevalidity

Identifiers

PMID38559580
PMCPMC10981259

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.