Smartphone Addiction and Its Relationship with Sleep Quality among University Students
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| Title: | Smartphone Addiction and Its Relationship with Sleep Quality among University Students |
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| Language: | English |
| Authors: | Motaz Thaieb Alotaibi |
| Source: | Educational Process: International Journal. Article e2025606 2025 19. |
| Availability: | UNIVERSITEPARK Limited. iTOWER Plaza (No61, 9th floor) Merkez Mh Akar Cd No3, Sisli, Istanbul, Turkey 34382. e-mail: editor@edupij.com; Web site: http://www.edupij.com/ |
| Peer Reviewed: | Y |
| Page Count: | 16 |
| Publication Date: | 2025 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Telecommunications, Handheld Devices, Addictive Behavior, Adolescents, Sleep, Correlation, Gender Differences, Instructional Program Divisions, Foreign Countries, Undergraduate Students, Graduate Students, Symptoms (Individual Disorders), Student Characteristics |
| Geographic Terms: | Saudi Arabia |
| ISSN: | 2147-0901 2564-8020 |
| Abstract: | Background/purpose: Smartphone addiction is widespread among adolescents. Recent literature reports a strong link between excessive use of smart devices and declines in sleep quality. This study investigated smartphone addiction and sleep quality among adolescents at a university and examined differences by demographic variables (gender and academic level). Materials/methods: Using a descriptive correlational approach, a sample of 295 male and female students was selected from a Saudi university using stratified random sampling. Data were collected using the Smartphone Addiction and Sleep Quality Scales. Results: University students suffer from high levels of smartphone addiction symptoms. Multidimensional sleep disturbances were prevalent, with the most common being difficulty initiating sleep and reduced overall sleep duration. Next, addiction levels significantly differed by gender, favoring males. However, no differences were observed by academic level. Correlation analysis results showed significant relationships between some addiction dimensions and sleep quality, particularly a negative relationship between loss of control and sleep duration, and a positive relationship between psychological distress and difficulty initiating sleep. Linear regression analysis indicated that addiction dimensions like social withdrawal, relationship deterioration, distress, and negative emotions significantly contribute to predicting sleep quality decline. However, the model explains a limited amount of variance. Conclusion: Smartphone addiction negatively affects sleep quality among university adolescents, with detailed effects from two dimensions: social action and negative beliefs. [Note: The publication year (2026) shown in the citation on the PDF is incorrect. The correct publication year is 2025.] |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1493770 |
| Database: | ERIC |
| Abstract: | Background/purpose: Smartphone addiction is widespread among adolescents. Recent literature reports a strong link between excessive use of smart devices and declines in sleep quality. This study investigated smartphone addiction and sleep quality among adolescents at a university and examined differences by demographic variables (gender and academic level). Materials/methods: Using a descriptive correlational approach, a sample of 295 male and female students was selected from a Saudi university using stratified random sampling. Data were collected using the Smartphone Addiction and Sleep Quality Scales. Results: University students suffer from high levels of smartphone addiction symptoms. Multidimensional sleep disturbances were prevalent, with the most common being difficulty initiating sleep and reduced overall sleep duration. Next, addiction levels significantly differed by gender, favoring males. However, no differences were observed by academic level. Correlation analysis results showed significant relationships between some addiction dimensions and sleep quality, particularly a negative relationship between loss of control and sleep duration, and a positive relationship between psychological distress and difficulty initiating sleep. Linear regression analysis indicated that addiction dimensions like social withdrawal, relationship deterioration, distress, and negative emotions significantly contribute to predicting sleep quality decline. However, the model explains a limited amount of variance. Conclusion: Smartphone addiction negatively affects sleep quality among university adolescents, with detailed effects from two dimensions: social action and negative beliefs. [Note: The publication year (2026) shown in the citation on the PDF is incorrect. The correct publication year is 2025.] |
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| ISSN: | 2147-0901 2564-8020 |
