Evidence map›Paper›PMID 30418073›Full record

ArticleJournal of behavioral addictions2018

Short version of the Smartphone Addiction Scale in Chinese adults: Psychometric properties, sociodemographic, and health behavioral correlates.

Tzu Tsun Luk, Man Ping Wang, Chen Shen, Alice Wan, Pui Hing Chau, John Oliffe, Kasisomayajula Viswanath, Sophia Siu-Chee Chan, Tai Hing Lam

Abstract read
In one paragraph

Article in Journal of behavioral addictions, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 2 pooled it
–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

83 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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23 more citing papers are in PubMed but not listed here.

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.

Tzu Tsun Luk1 School of Nursing, The University of Hong Kong , Hong Kong, China.
Man Ping Wang1 School of Nursing, The University of Hong Kong , Hong Kong, China.
Chen Shen2 Department of Epidemiology and Biostatistics, Imperial College London , London, UK.
Alice Wan3 School of Public Health, The University of Hong Kong , Hong Kong, China.
Pui Hing Chau1 School of Nursing, The University of Hong Kong , Hong Kong, China.
John Oliffe4 School of Nursing, University of British Columbia , Vancouver, Canada.
Kasisomayajula Viswanath5 Center for Community-Based Research, Dana-Farber Cancer Institute, Harvard TH Chan School of Public Health , Boston, MA, USA.
Sophia Siu-Chee Chan1 School of Nursing, The University of Hong Kong , Hong Kong, China.
Tai Hing Lam3 School of Public Health, The University of Hong Kong , Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsProblematic smartphone use (PSU) is an emerging but understudied public health issue. Little is known about the epidemiology of PSU at the population level. We evaluated the psychometric properties of the Smartphone Addiction Scale - Short Version (SAS-SV) and examined its associated sociodemographic factors and health behaviors in Chinese adults in Hong Kong.

methodsA random sample of 3,211 adults aged ≥18 years (mean ± SD: 43.3 ± 15.7, 45.3% men) participated in a population-based telephone survey in Hong Kong and completed the Chinese SAS-SV. Multivariable linear regressions examined the associations of sociodemographic factors, health behaviors, and chronic disease status with SAS-SV score. Data were weighted by age, sex, and education attainment distributions of the Hong Kong general population.

resultsThe Chinese SAS-SV is internally consistent (Cronbach's α = .844) and stable over 1 week (intraclass correlation coefficient = .76, p < .001). Confirmatory factor analysis supported a unidimensional structure established by previous studies. The weighted prevalence of PSU was 38.5% (95% confidence interval: 36.9%, 40.2%). Female sex, younger age, being married/cohabitated or divorced/separated (vs. unmarried), and lower education level were associated with a higher SAS-SV score (all ps <.05). Current smoking, weekly to daily alcohol drinking, and physical inactivity predict greater PSU after controlling for sociodemographic factors and mutual adjustment. DISCUSSION AND

conclusionsThe Chinese SAS-SV was found valid and reliable for assessing PSU in Hong Kong adults. Several sociodemographic and health behavioral factors were associated with PSU at the population level, which may have implication for prevention of PSU and future research.

Indexed as

SmartphoneAdolescentAdultAgedBehavior, AddictiveFemaleHong KongHumansMaleMiddle AgedPsychometricsReproducibility of ResultsYoung Adultepidemiologypopulation studiesproblematic mobile phone usesmartphone dependencesmartphone ownershipvalidation studies

Identifiers

PMID30418073
PMCPMC6376375

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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.