Affiliations 

  • 1 Universiti Putra Malaysia, Faculty of Medicine and Health Sciences, Department of Family Medicine, Serdang, Selangor, Malaysia. sm_ching@upm.edu.my
  • 2 Universiti Putra Malaysia, Faculty of Medicine and Health Sciences, Department of Family Medicine, Serdang, Selangor, Malaysia
  • 3 Universiti Putra Malaysia, Faculty of Medicine and Health Sciences, Department of Psychological Medicine, Serdang, Selangor, Malaysia
  • 4 Universiti Putra Malaysia, Faculty of Medicine and Health Sciences, Department of Surgery, Serdang, Selangor, Malaysia
  • 5 Universiti Putra Malaysia, Faculty of Medicine and Health Sciences, Department of Medicine, Serdang, Selangor, Malaysia
  • 6 Universiti Putra Malaysia, Faculty of Medicine and Health Sciences, Department of Psychiatry, Serdang, Selangor, Malaysia
  • 7 Academic Development Centre (ADEC), University of Malaya, Kuala Lumpur, Selangor, Malaysia
  • 8 Masjid Tanah Health Clinic, Masjid Tanah, Melaka, Malaysia
  • 9 Universiti Putra Malaysia, Faculty of Medicine and Health Sciences, Department of Imaging, Serdang, Selangor, Malaysia
Med J Malaysia, 2020 09;75(5):561-567.
PMID: 32918427

Abstract

INTRODUCTION: This study aimed to validate the Malay version of the short form Smartphone Addiction Scale (SAS-M-SF) and to examine its psychometric properties in a cohort of pre-university adolescents.

METHODS: We obtained the validity and reliability evidence for the SAS-M-SF using a group of 307 pre-university students in Universiti Putra Malaysia (UPM), Serdang, Selangor, Malaysia with a mean age of 18.4±0.2 years (70.4% female and 29.6% male). A questionnaire containing the Malay version of Smartphone Addiction Scale (SAS-M), the Malay version of the short form Smartphone Addiction Scale (SAS-M-SF), and the Malay version of the Internet Addiction Test (IAT-M) was administered on the adolescents.

RESULTS: The SAS-M-SF displayed good internal consistency (Cronbach's α=0.80). Using principle component analysis, we identified a 4-factor SAS-M-SF model. A significant correlation between the SAS-M-SF and the IAT-M was found, lending support for concurrent validity. The prevalence of smartphone addiction was 54.5% based on cut-off score of ≥36 with a sensitivity of 70.2% and a specificity of 72.5%.

CONCLUSIONS: The 10-item SAS-M-SF is a valid and reliable screening tool for smartphone addiction among adolescents. The scale can help clinicians or educators design appropriate intervention and prevention programs targeting smartphone addiction in adolescents at clinical or school settings.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.