Evaluation of smartphone usage as a predictor of social jetlag in university students
Background: Individual sleep and activity patterns show large variations and are interfered considerably by social schedules. Social jetlag (SJL) is the difference between intrinsic circadian rhythm and extrinsically enforced sleep-wake cycle. However, little is known about the variables affecting...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2023-01-01
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| Series: | Annals of Indian Psychiatry |
| Subjects: | |
| Online Access: | http://www.anip.co.in/article.asp?issn=2588-8358;year=2023;volume=7;issue=1;spage=54;epage=59;aulast=Mehta |
| _version_ | 1797775360005242880 |
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| author | Karan V Mehta Neeraj R Mahajan Dishant B Upadhyay Taxashil H Jadeja Rajkumar J Sevak |
| author_facet | Karan V Mehta Neeraj R Mahajan Dishant B Upadhyay Taxashil H Jadeja Rajkumar J Sevak |
| author_sort | Karan V Mehta |
| collection | DOAJ |
| description | Background: Individual sleep and activity patterns show large variations and are interfered considerably by social schedules. Social jetlag (SJL) is the difference between intrinsic circadian rhythm and extrinsically enforced sleep-wake cycle. However, little is known about the variables affecting the severity of SJL. Methodology: We evaluated whether sleep- or smartphone-related variables affected the severity of SJL among college students in India. A total of 1175 students from medicine, dental, engineering, paramedical, and other colleges in Gujarat, India, completed a web-based survey. The survey included demographic questions and questions from the Smartphone Addiction Scale-Short Version (SAS-SV), reduced Horne and Ostberg Morningness-Eveningness Questionnaire (rMEQ), and Munich Chronotype Questionnaire (MCTQ). The responses to the MCTQ determined SJL scores. Results: Outcomes from multiple linear regression analysis indicated that the sleep length on free-day (B = 0.42), chronotypes (B = 0.44, B2 = 0.40) maximum smartphone usage time after waking up (B = 0.92), smartphone addiction severity (B = ‒0.01) and free-day sleep onset range (B = ‒0.02) significantly predicted SJL scores (P < 0.03). The SJL severity was 0.42 and 0.40 units greater in individuals with morning-type and evening-type, respectively, compared to the neutral-type rMEQ category. The SJL severity was 0.92 units greater in individuals whose smartphone usage was maximum right after waking up compared to those whose usage was maximum during other times of the day. Every unit increase in SAS score decreased SJL by 0.01 units. Conclusion: These results indicate that SJL severity is affected by several factors, which can be targeted for developing interventions for reducing SJL among college students in India. |
| first_indexed | 2024-03-12T22:33:37Z |
| format | Article |
| id | doaj.art-81e1ec7b723a4683a2fd8ca4d3561e3f |
| institution | Directory Open Access Journal |
| issn | 2588-8358 2588-8366 |
| language | English |
| last_indexed | 2024-03-12T22:33:37Z |
| publishDate | 2023-01-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Annals of Indian Psychiatry |
| spelling | doaj.art-81e1ec7b723a4683a2fd8ca4d3561e3f2023-07-21T14:20:43ZengWolters Kluwer Medknow PublicationsAnnals of Indian Psychiatry2588-83582588-83662023-01-0171545910.4103/aip.aip_24_22Evaluation of smartphone usage as a predictor of social jetlag in university studentsKaran V MehtaNeeraj R MahajanDishant B UpadhyayTaxashil H JadejaRajkumar J SevakBackground: Individual sleep and activity patterns show large variations and are interfered considerably by social schedules. Social jetlag (SJL) is the difference between intrinsic circadian rhythm and extrinsically enforced sleep-wake cycle. However, little is known about the variables affecting the severity of SJL. Methodology: We evaluated whether sleep- or smartphone-related variables affected the severity of SJL among college students in India. A total of 1175 students from medicine, dental, engineering, paramedical, and other colleges in Gujarat, India, completed a web-based survey. The survey included demographic questions and questions from the Smartphone Addiction Scale-Short Version (SAS-SV), reduced Horne and Ostberg Morningness-Eveningness Questionnaire (rMEQ), and Munich Chronotype Questionnaire (MCTQ). The responses to the MCTQ determined SJL scores. Results: Outcomes from multiple linear regression analysis indicated that the sleep length on free-day (B = 0.42), chronotypes (B = 0.44, B2 = 0.40) maximum smartphone usage time after waking up (B = 0.92), smartphone addiction severity (B = ‒0.01) and free-day sleep onset range (B = ‒0.02) significantly predicted SJL scores (P < 0.03). The SJL severity was 0.42 and 0.40 units greater in individuals with morning-type and evening-type, respectively, compared to the neutral-type rMEQ category. The SJL severity was 0.92 units greater in individuals whose smartphone usage was maximum right after waking up compared to those whose usage was maximum during other times of the day. Every unit increase in SAS score decreased SJL by 0.01 units. Conclusion: These results indicate that SJL severity is affected by several factors, which can be targeted for developing interventions for reducing SJL among college students in India.http://www.anip.co.in/article.asp?issn=2588-8358;year=2023;volume=7;issue=1;spage=54;epage=59;aulast=Mehtachronotypecircadian misalignmentsmartphone addictionsocial jetlag |
| spellingShingle | Karan V Mehta Neeraj R Mahajan Dishant B Upadhyay Taxashil H Jadeja Rajkumar J Sevak Evaluation of smartphone usage as a predictor of social jetlag in university students Annals of Indian Psychiatry chronotype circadian misalignment smartphone addiction social jetlag |
| title | Evaluation of smartphone usage as a predictor of social jetlag in university students |
| title_full | Evaluation of smartphone usage as a predictor of social jetlag in university students |
| title_fullStr | Evaluation of smartphone usage as a predictor of social jetlag in university students |
| title_full_unstemmed | Evaluation of smartphone usage as a predictor of social jetlag in university students |
| title_short | Evaluation of smartphone usage as a predictor of social jetlag in university students |
| title_sort | evaluation of smartphone usage as a predictor of social jetlag in university students |
| topic | chronotype circadian misalignment smartphone addiction social jetlag |
| url | http://www.anip.co.in/article.asp?issn=2588-8358;year=2023;volume=7;issue=1;spage=54;epage=59;aulast=Mehta |
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