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07.11.2023 | Brief Report

Sex, Age, and Smartphone Addiction Across 41 Countries

verfasst von: Jay A. Olson, Dasha A. Sandra, Samuel P. L. Veissière, Ellen J. Langer

Erschienen in: International Journal of Mental Health and Addiction

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Abstract

Most studies of problematic smartphone use focus on younger participants in a single country, which makes global comparisons difficult. Here, we administered the Smartphone Addiction Scale (Short Version) to 50,423 participants aged 18 to 90 from 195 countries and subdivisions. The results showed that women scored 3.22 units higher than men, each year of age predicted a decrease of 0.18 units, and global scores increased by 0.66 units per year. Among the 41 countries with at least 100 participants, almost all showed a consistent pattern: women scored higher than men (\(B = -0.19\) to 6.07), and there was a downward slope with age (\(B = -0.38\) to \(-0.03\)), though the shape of the slope varied across countries. The highest problematic smartphone use scores were around Southeast Asia, and the lowest were in Europe. This global sample, currently the largest in the field, helps clarify the relationships between sex, age, and smartphone use.
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One-third of the sample was analysed to test an unrelated hypothesis (cf. Study 3 in Olson, Sandra, Langer, et al., 2022c).
 
Literatur
Zurück zum Zitat GlobalWebIndex. (2018). Devices. GlobalWebIndex’s Flagship Report on Device Ownership and Usage. GlobalWebIndex. (2018). Devices. GlobalWebIndex’s Flagship Report on Device Ownership and Usage.
Zurück zum Zitat Kalaitzaki, A., Laconi, S., Spritzer, D. T., Hauck, S., Gnisci, A., Sergi, I., Vally, Z., Tudorel, O., Vintila, M., Malik, S., Diaz, J. R., Männikkö, N., Cikrikci, O., Salas, G., Ardila, R., Zambrano, D., Lopez-Calle, C., & Sahlan, R. N. (2022). The prevalence and predictors of problematic mobile phone use: A 14-country empirical survey. International Journal of Mental Health and Addiction. https://​doi.​org/​10.​1007/​s11469-022-00901-2 CrossRef Kalaitzaki, A., Laconi, S., Spritzer, D. T., Hauck, S., Gnisci, A., Sergi, I., Vally, Z., Tudorel, O., Vintila, M., Malik, S., Diaz, J. R., Männikkö, N., Cikrikci, O., Salas, G., Ardila, R., Zambrano, D., Lopez-Calle, C., & Sahlan, R. N. (2022). The prevalence and predictors of problematic mobile phone use: A 14-country empirical survey. International Journal of Mental Health and Addiction. https://​doi.​org/​10.​1007/​s11469-022-00901-2 CrossRef
Zurück zum Zitat Shaw, H., Ellis, D. A., Geyer, K., Davidson, B. I., Ziegler, F. V., & Smith, A. (2020). Quantifying smartphone ’use’: Choice of measurement impacts relationships between ’usage’ and health. Technology, Mind, and Behavior, 1(2). https://​doi.​org/​10.​1037/​tmb0000022 Shaw, H., Ellis, D. A., Geyer, K., Davidson, B. I., Ziegler, F. V., & Smith, A. (2020). Quantifying smartphone ’use’: Choice of measurement impacts relationships between ’usage’ and health. Technology, Mind, and Behavior, 1(2). https://​doi.​org/​10.​1037/​tmb0000022
Zurück zum Zitat Sohn, S. Y., Rees, P., Wildridge, B., Kalk, N. J., & Carter, B. (2019). Prevalence of problematic smartphone usage and associated mental health outcomes amongst children and young people: A systematic review, meta-analysis and GRADE of the evidence. BMC Psychiatry, 19(1). https://​doi.​org/​10.​1186/​s12888-019-2350-x Sohn, S. Y., Rees, P., Wildridge, B., Kalk, N. J., & Carter, B. (2019). Prevalence of problematic smartphone usage and associated mental health outcomes amongst children and young people: A systematic review, meta-analysis and GRADE of the evidence. BMC Psychiatry, 19(1). https://​doi.​org/​10.​1186/​s12888-019-2350-x
Zurück zum Zitat van Deursen, A. J., Bolle, C. L., Hegner, S. M., & Kommers, P. A. (2015). Modeling habitual and addictive smartphone behavior: The role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender. Computers in Human Behavior, 45, 411–420. CrossRef van Deursen, A. J., Bolle, C. L., Hegner, S. M., & Kommers, P. A. (2015). Modeling habitual and addictive smartphone behavior: The role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender. Computers in Human Behavior, 45, 411–420. CrossRef
Zurück zum Zitat Wetzel, B., Pryss, R., Baumeister, H., Edler, J.-S., Gonçalves, A. S. O., & Cohrdes, C. (2021). ‘How come you don’t call me?’ Smartphone communication app usage as an indicator of loneliness and social well-being across the adult lifespan during the COVID-19 pandemic. International Journal of Environmental Research and Public Health, 18(12), 6212. https://​doi.​org/​10.​3390/​ijerph18126212 CrossRefPubMedPubMedCentral Wetzel, B., Pryss, R., Baumeister, H., Edler, J.-S., Gonçalves, A. S. O., & Cohrdes, C. (2021). ‘How come you don’t call me?’ Smartphone communication app usage as an indicator of loneliness and social well-being across the adult lifespan during the COVID-19 pandemic. International Journal of Environmental Research and Public Health, 18(12), 6212. https://​doi.​org/​10.​3390/​ijerph18126212 CrossRefPubMedPubMedCentral
Metadaten
Titel
Sex, Age, and Smartphone Addiction Across 41 Countries
verfasst von
Jay A. Olson
Dasha A. Sandra
Samuel P. L. Veissière
Ellen J. Langer
Publikationsdatum
07.11.2023
Verlag
Springer US
Erschienen in
International Journal of Mental Health and Addiction
Print ISSN: 1557-1874
Elektronische ISSN: 1557-1882
DOI
https://doi.org/10.1007/s11469-023-01146-3

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