Short version of the Smartphone Addiction Scale in Chinese adults: Psychometric properties, sociodemographic, and health behavioral correlates
Luk TT, Wang MP, Shen C, Wan A, Chau PH, Oliffe J, Viswanath K, Chan SS, Lam TH
Journal of behavioral addictions · 100 citas
Cómo se estudió
- Diseño
- Estudio transversal (clasificado por nuestro filtro de IA)
- Estudiado en
- Personas
- Resultado principal
- Marcadores de salud y funcionamiento
Quién lo pagó
- Financiación
- Financiación independiente
Según la declaración de financiación del texto completo.
Publicación
- Publicado
- 2018-11-12 · J Behav Addict · vol. 7 · número 4 · págs. 1157–1165
- Editorial
- Akadémiai Kiadó
- Citado
- 194 citas · más que el 100% de estudios similares · 28.1× el promedio de su campo
- Impacto
- Entre el 10 % más citado de su campo
- Referencias
- 48 trabajos
- Acceso
- Acceso abierto (revista) · CC-BY-NC
- Áreas de investigación
- Impact of Technology on Adolescents · Child Development and Digital Technology · Media Influence and Health
- Palabras clave
- smartphone addiction, Smartphone Addiction Scale, psychometric validation, prevalence, sociodemographic factors, health behavior, smoking, alcohol consumption, physical inactivity, chronic disease, Chinese adults, Hong Kong
- MeSH
- humans, reproducibility of results, behavior, addictive, psychometrics, adolescent, adult, aged, middle aged, hong kong, female, male, young adult, smartphone
9 autores
- Tzu Tsun Luk🇭🇰University of Hong Kong
- Man Ping Wang🇭🇰University of Hong Kong
- Chen Shen🇬🇧Imperial College London
- Alice Wan🇭🇰University of Hong Kong
- Pui Hing Chau🇭🇰University of Hong Kong
- John Lindsay Oliffe🇨🇦University of British Columbia
- Kasisomayajula Viswanath🇺🇸Harvard University; Dana-Farber Cancer Institute
- Sophia Siu-chee Chan🇭🇰University of Hong Kong
- Tai Hing Lam🇭🇰University of Hong Kong
Resumen
El texto original del estudio, en el idioma en que se publicó.
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.
Resumen vía Europe PMC. Los derechos de autor siguen siendo de los autores o la editorial (CC BY-NC).
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