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Short version of the Smartphone Addiction Scale in Chinese adults: Psychometric properties, sociodemographic, and health behavioral correlates
BACKGROUND AND AIMS: Problematic 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 assoc...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Akadémiai Kiadó
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6376375/ https://www.ncbi.nlm.nih.gov/pubmed/30418073 http://dx.doi.org/10.1556/2006.7.2018.105 |
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author | Luk, Tzu Tsun Wang, Man Ping Shen, Chen Wan, Alice Chau, Pui Hing Oliffe, John Viswanath, Kasisomayajula Chan, Sophia Siu-chee Lam, Tai Hing |
author_facet | Luk, Tzu Tsun Wang, Man Ping Shen, Chen Wan, Alice Chau, Pui Hing Oliffe, John Viswanath, Kasisomayajula Chan, Sophia Siu-chee Lam, Tai Hing |
author_sort | Luk, Tzu Tsun |
collection | PubMed |
description | BACKGROUND AND AIMS: Problematic 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. METHODS: A 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. RESULTS: The 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 CONCLUSIONS: The 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. |
format | Online Article Text |
id | pubmed-6376375 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Akadémiai Kiadó |
record_format | MEDLINE/PubMed |
spelling | pubmed-63763752019-02-21 Short version of the Smartphone Addiction Scale in Chinese adults: Psychometric properties, sociodemographic, and health behavioral correlates Luk, Tzu Tsun Wang, Man Ping Shen, Chen Wan, Alice Chau, Pui Hing Oliffe, John Viswanath, Kasisomayajula Chan, Sophia Siu-chee Lam, Tai Hing J Behav Addict Full-Length Report BACKGROUND AND AIMS: Problematic 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. METHODS: A 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. RESULTS: The 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 CONCLUSIONS: The 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. Akadémiai Kiadó 2018-11-12 2018-12 /pmc/articles/PMC6376375/ /pubmed/30418073 http://dx.doi.org/10.1556/2006.7.2018.105 Text en © 2018 The Author(s) http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium for non-commercial purposes, provided the original author and source are credited, a link to the CC License is provided, and changes – if any – are indicated. |
spellingShingle | Full-Length Report Luk, Tzu Tsun Wang, Man Ping Shen, Chen Wan, Alice Chau, Pui Hing Oliffe, John Viswanath, Kasisomayajula Chan, Sophia Siu-chee Lam, Tai Hing Short version of the Smartphone Addiction Scale in Chinese adults: Psychometric properties, sociodemographic, and health behavioral correlates |
title | Short version of the Smartphone Addiction Scale in Chinese adults: Psychometric properties, sociodemographic, and health behavioral correlates |
title_full | Short version of the Smartphone Addiction Scale in Chinese adults: Psychometric properties, sociodemographic, and health behavioral correlates |
title_fullStr | Short version of the Smartphone Addiction Scale in Chinese adults: Psychometric properties, sociodemographic, and health behavioral correlates |
title_full_unstemmed | Short version of the Smartphone Addiction Scale in Chinese adults: Psychometric properties, sociodemographic, and health behavioral correlates |
title_short | Short version of the Smartphone Addiction Scale in Chinese adults: Psychometric properties, sociodemographic, and health behavioral correlates |
title_sort | short version of the smartphone addiction scale in chinese adults: psychometric properties, sociodemographic, and health behavioral correlates |
topic | Full-Length Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6376375/ https://www.ncbi.nlm.nih.gov/pubmed/30418073 http://dx.doi.org/10.1556/2006.7.2018.105 |
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