Evidence map›Paper›PMID 37853354›Full record

ArticleBMC psychiatry2023

A phubbing scale tested in Bangladesh, Iran, and Pakistan: confirmatory factor, network, and Rasch analyses.

Chung-Ying Lin, Mohammed A Mamun, Firoj Al Mamun, Irfan Ullah, Ismail Hosen, Najma Iqbal Malik, Abiha Fatima, Ali Poorebrahim, Morteza Pourgholami, Marc N Potenza and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Phubbing in Adolescents: Spanish Validation of the Phubbing Scale (PS).International journal of environmental research and public health · 2024
    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

11 authors at 8 institutions in 6 countries.

Chung-Ying LinInstitute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, 701, Taiwan.
Mohammed A MamunDepartment of Public Health and Informatics, CHINTA Research Bangladesh, Jahangirnagar University, Savar, Dhaka, Savar, Dhaka, Bangladesh.
Firoj Al MamunDepartment of Public Health and Informatics, CHINTA Research Bangladesh, Jahangirnagar University, Savar, Dhaka, Savar, Dhaka, Bangladesh.
Irfan UllahKabir Medical College, Gandhara University, Peshawar, Pakistan.
Ismail HosenDepartment of Public Health and Informatics, CHINTA Research Bangladesh, Jahangirnagar University, Savar, Dhaka, Savar, Dhaka, Bangladesh.
Najma Iqbal MalikDepartment of Psychology, University of Sargodha, Sargodha, Pakistan.
Abiha FatimaKarachi Medical and Dental College, Karachi, Pakistan.
Ali PoorebrahimGuilan University of Medical Sciences, Rasht, Islamic Republic of Iran.
Morteza PourgholamiGuilan University of Medical Sciences, Rasht, Islamic Republic of Iran.
Marc N PotenzaDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
Amir H PakpourSocial Determinants of Health Research Center, Research Institute for Prevention of Non- Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran. amir.pakpour@ju.se.
Jahangirnagar University · BDGuilan University of Medical Sciences · IRGandhara University · PKKarachi Medical and Dental College · PKNational Cheng Kung University Hospital · TWQazvin University of Medical Sciences · IRUniversity of Sargodha · PKYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

backgroundPhubbing, a phenomenon of ignoring others in face-to-face conversations due to mobile phone use, can be assessed using a Phubbing Scale (PS). Recently, the PS has been shortened into an eight-item version, the PS-8. However, psychometric properties of the PS-8 among Iranian, Bangladeshi and Pakistani individuals remain understudied, especially using advanced psychometric testing, such as Rasch and network analyses.

methodsParticipants residing in Iran, Bangladesh, and Pakistan (n = 1902; 50.4% females; mean age = 26.3 years) completed the PS-8 and the Internet Disorder Scale-Short Form (IDS9-SF) via an online survey. Network analysis was used to examine if PS-8 items were differentiated from IDS9-SF items; confirmatory factor analysis (CFA) was used to examine the factor structure and measurement invariance of the PS-8; Rasch modeling was used to examine the dimensionality of the PS-8 and differential item functioning (DIF).

resultsNetwork analysis showed that PS-8 items were clustered together with a distance to the IDS9-SF items. The CFA results supported a two-factor structure of the PS-8, and the two-factor structure was found to be invariant across countries and women and men. Rasch model results indicated that the two PS-8 subscales were both unidimensional and did not display DIF across countries and gender/sex.

conclusionThe PS-8 is a feasible and robust instrument for healthcare providers, especially mental health professionals, to quickly assess and evaluate individuals' phubbing behaviors.

Indexed as

Surveys and QuestionnairesAdultBangladeshFactor Analysis, StatisticalFemaleHumansIranLactamsMalePakistanPsychometricsReproducibility of Resultsantibiotic PS 8LactamsConfirmatory factor analysisDifferential item functioningMeasurement invarianceNetwork analysisRasch modelSmartphone behaviors

Identifiers

PMID37853354
PMCPMC10583412
OpenAlexW4387742855

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.