Smartphone addiction is increasing across the world: A meta-analysis of 24 countries
Smartphone ownership and screen time are increasing across the world, but there have been few attempts to quantify smartphone addiction on a global scale. We conducted a meta-analysis of studies published between 2014 and 2020 that used the Smartphone Addiction Scale, the most common measure of prob...
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| Veröffentlicht in: | Computers in human behavior Jg. 129; S. 107138 |
|---|---|
| Hauptverfasser: | , , , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Elmsford
Elsevier Ltd
01.04.2022
Elsevier Science Ltd |
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| ISSN: | 0747-5632, 1873-7692 |
| Online-Zugang: | Volltext |
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| Abstract | Smartphone ownership and screen time are increasing across the world, but there have been few attempts to quantify smartphone addiction on a global scale. We conducted a meta-analysis of studies published between 2014 and 2020 that used the Smartphone Addiction Scale, the most common measure of problematic smartphone use. We focused on adolescents and young adults (aged 15 to 35) since they tend to have the highest screen time and smartphone ownership rates. Across 24 countries, 83 samples, and 33,831 participants, we demonstrate that problematic smartphone use is increasing across the world. China, Saudi Arabia, and Malaysia had the highest scores while Germany and France had the lowest. We suggest that the clinical interpretation of these scores should be updated given current global trends.
•We conducted a meta-analysis of problematic smartphone use, focusing on young adults.•The analysis (2014–2020) included 24 countries, 83 samples, and 33,831 participants.•The results showed that problematic smartphone use is increasing across the world.•China and Saudi Arabia had the highest rates while Germany and France had the lowest.•Updating the clinical interpretation of these scores may be needed in some countries. |
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| AbstractList | Smartphone ownership and screen time are increasing across the world, but there have been few attempts to quantify smartphone addiction on a global scale. We conducted a meta-analysis of studies published between 2014 and 2020 that used the Smartphone Addiction Scale, the most common measure of problematic smartphone use. We focused on adolescents and young adults (aged 15 to 35) since they tend to have the highest screen time and smartphone ownership rates. Across 24 countries, 83 samples, and 33,831 participants, we demonstrate that problematic smartphone use is increasing across the world. China, Saudi Arabia, and Malaysia had the highest scores while Germany and France had the lowest. We suggest that the clinical interpretation of these scores should be updated given current global trends.
•We conducted a meta-analysis of problematic smartphone use, focusing on young adults.•The analysis (2014–2020) included 24 countries, 83 samples, and 33,831 participants.•The results showed that problematic smartphone use is increasing across the world.•China and Saudi Arabia had the highest rates while Germany and France had the lowest.•Updating the clinical interpretation of these scores may be needed in some countries. Smartphone ownership and screen time are increasing across the world, but there have been few attempts to quantify smartphone addiction on a global scale. We conducted a meta-analysis of studies published between 2014 and 2020 that used the Smartphone Addiction Scale, the most common measure of problematic smartphone use. We focused on adolescents and young adults (aged 15 to 35) since they tend to have the highest screen time and smartphone ownership rates. Across 24 countries, 83 samples, and 33,831 participants, we demonstrate that problematic smartphone use is increasing across the world. China, Saudi Arabia, and Malaysia had the highest scores while Germany and France had the lowest. We suggest that the clinical interpretation of these scores should be updated given current global trends. |
| ArticleNumber | 107138 |
| Author | Nahas, Johnny Al Bikaii, Alain Veissière, Samuel P.L. Olson, Jay A. Raz, Amir Sandra, Dasha A. Colucci, Élissa S. Chmoulevitch, Denis |
| Author_xml | – sequence: 1 givenname: Jay A. orcidid: 0000-0002-1161-5209 surname: Olson fullname: Olson, Jay A. email: jay.olson@mail.mcgill.ca organization: Department of Psychiatry, 1033 Pine Avenue West, McGill University, Montreal, QC, H3A 1A1, Canada – sequence: 2 givenname: Dasha A. orcidid: 0000-0001-9930-2807 surname: Sandra fullname: Sandra, Dasha A. email: dasha.sandra@mail.mcgill.ca organization: Integrated Program in Neuroscience, 1033 Pine Avenue West, McGill University, Montreal, QC, H3A 1A1, Canada – sequence: 3 givenname: Élissa S. surname: Colucci fullname: Colucci, Élissa S. email: elissa.colucci@mail.mcgill.ca organization: Department of Psychology, 2001 McGill College Avenue, McGill University, Montreal, QC, H3A 1G1, Canada – sequence: 4 givenname: Alain orcidid: 0000-0001-5891-0435 surname: Al Bikaii fullname: Al Bikaii, Alain email: alain.albikaii@mail.mcgill.ca organization: Department of Psychology, 2001 McGill College Avenue, McGill University, Montreal, QC, H3A 1G1, Canada – sequence: 5 givenname: Denis orcidid: 0000-0002-5080-941X surname: Chmoulevitch fullname: Chmoulevitch, Denis email: denis.chmoulevitch@mail.mcgill.ca organization: Department of Psychology, 2001 McGill College Avenue, McGill University, Montreal, QC, H3A 1G1, Canada – sequence: 6 givenname: Johnny orcidid: 0000-0001-9552-2159 surname: Nahas fullname: Nahas, Johnny email: jean.nahas@mail.mcgill.ca organization: Department of Psychology, 2001 McGill College Avenue, McGill University, Montreal, QC, H3A 1G1, Canada – sequence: 7 givenname: Amir surname: Raz fullname: Raz, Amir email: raz@chapman.edu organization: Department of Psychiatry, 1033 Pine Avenue West, McGill University, Montreal, QC, H3A 1A1, Canada – sequence: 8 givenname: Samuel P.L. surname: Veissière fullname: Veissière, Samuel P.L. email: samuel.veissiere@mcgill.ca organization: Department of Psychiatry, 1033 Pine Avenue West, McGill University, Montreal, QC, H3A 1A1, Canada |
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| ORCID | 0000-0002-5080-941X 0000-0001-9930-2807 0000-0001-9552-2159 0000-0002-1161-5209 0000-0001-5891-0435 |
| PQID | 2638079560 |
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| ParticipantIDs | proquest_journals_2638079560 crossref_citationtrail_10_1016_j_chb_2021_107138 crossref_primary_10_1016_j_chb_2021_107138 elsevier_sciencedirect_doi_10_1016_j_chb_2021_107138 |
| PublicationCentury | 2000 |
| PublicationDate | April 2022 2022-04-00 20220401 |
| PublicationDateYYYYMMDD | 2022-04-01 |
| PublicationDate_xml | – month: 04 year: 2022 text: April 2022 |
| PublicationDecade | 2020 |
| PublicationPlace | Elmsford |
| PublicationPlace_xml | – name: Elmsford |
| PublicationTitle | Computers in human behavior |
| PublicationYear | 2022 |
| Publisher | Elsevier Ltd Elsevier Science Ltd |
| Publisher_xml | – name: Elsevier Ltd – name: Elsevier Science Ltd |
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