A bidirectional association between smartphone addiction and depression among college students: A cross-lagged panel model
BackgroundSmartphone addiction (SA) is associated with adverse consequences, especially for freshmen. Evidence indicates that SA is associated with depression, and it is necessary to conduct a longitudinal study to explore the association further.MethodsSA (measured by the Smartphone Addiction Scale...
| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-01-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2023.1083856/full |
| _version_ | 1797944957780099072 |
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| author | Kexin Zhang Haiyun Guo Tianli Wang Jianghui Zhang Guojing Yuan Juan Ren Xueqing Zhang Huayu Yang Xiaoyan Lu Zhihui Zhu Jun Du Haiyan Shi Guifang Jin Jiahu Hao Ying Sun Puyu Su Zhihua Zhang |
| author_facet | Kexin Zhang Haiyun Guo Tianli Wang Jianghui Zhang Guojing Yuan Juan Ren Xueqing Zhang Huayu Yang Xiaoyan Lu Zhihui Zhu Jun Du Haiyan Shi Guifang Jin Jiahu Hao Ying Sun Puyu Su Zhihua Zhang |
| author_sort | Kexin Zhang |
| collection | DOAJ |
| description | BackgroundSmartphone addiction (SA) is associated with adverse consequences, especially for freshmen. Evidence indicates that SA is associated with depression, and it is necessary to conduct a longitudinal study to explore the association further.MethodsSA (measured by the Smartphone Addiction Scale-Short Version) and depression (measured by the Zung's Self-Rating Depression Scale) among 1,186 freshmen were surveyed at baseline and a respective 12-month follow-up for each participant. The application of a cross-lagged panel model approach (CLPM) revealed an association between SA and depression after adjusting for demographic variables.ResultsThe CLPM results showed a significant path from baseline SA to follow-up depression (β = 0.08, P < 0.001) and a significant path from baseline depression to follow-up SA (β = 0.08, P < 0.001). Compared with the overall cross-lagged model, the cross-lagged coefficient of the path from baseline SA to follow-up depression increased in the female group (β = 0.10, P = 0.015), and the cross-lagged coefficient of the path from baseline depression to follow-up SA also increased significantly (β = 0.15, P < 0.001). In contrast, the cross-lagged model in the male group showed no predictive effect between SA and depression (P > 0.05).ConclusionsThe current study showed a significant bidirectional association between smartphone addiction and depression among freshmen, but only in the female population. |
| first_indexed | 2024-04-10T20:47:46Z |
| format | Article |
| id | doaj.art-2f3da6c5330842e08e57d97808a04ae8 |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-04-10T20:47:46Z |
| publishDate | 2023-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-2f3da6c5330842e08e57d97808a04ae82023-01-24T05:40:02ZengFrontiers Media S.A.Frontiers in Public Health2296-25652023-01-011110.3389/fpubh.2023.10838561083856A bidirectional association between smartphone addiction and depression among college students: A cross-lagged panel modelKexin Zhang0Haiyun Guo1Tianli Wang2Jianghui Zhang3Guojing Yuan4Juan Ren5Xueqing Zhang6Huayu Yang7Xiaoyan Lu8Zhihui Zhu9Jun Du10Haiyan Shi11Guifang Jin12Jiahu Hao13Ying Sun14Puyu Su15Zhihua Zhang16Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, ChinaHefei Center for Disease Control and Prevention, Hefei, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, ChinaThe Second Hospital of Anhui Medical University, Hefei, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, ChinaDepartment of Maternal, Child, and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, ChinaDepartment of Maternal, Child, and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, ChinaDepartment of Maternal, Child, and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, ChinaBackgroundSmartphone addiction (SA) is associated with adverse consequences, especially for freshmen. Evidence indicates that SA is associated with depression, and it is necessary to conduct a longitudinal study to explore the association further.MethodsSA (measured by the Smartphone Addiction Scale-Short Version) and depression (measured by the Zung's Self-Rating Depression Scale) among 1,186 freshmen were surveyed at baseline and a respective 12-month follow-up for each participant. The application of a cross-lagged panel model approach (CLPM) revealed an association between SA and depression after adjusting for demographic variables.ResultsThe CLPM results showed a significant path from baseline SA to follow-up depression (β = 0.08, P < 0.001) and a significant path from baseline depression to follow-up SA (β = 0.08, P < 0.001). Compared with the overall cross-lagged model, the cross-lagged coefficient of the path from baseline SA to follow-up depression increased in the female group (β = 0.10, P = 0.015), and the cross-lagged coefficient of the path from baseline depression to follow-up SA also increased significantly (β = 0.15, P < 0.001). In contrast, the cross-lagged model in the male group showed no predictive effect between SA and depression (P > 0.05).ConclusionsThe current study showed a significant bidirectional association between smartphone addiction and depression among freshmen, but only in the female population.https://www.frontiersin.org/articles/10.3389/fpubh.2023.1083856/fullsmartphone addictiondepressioncollege studentslongitudinal studycross-lagged panel model (CLPM) |
| spellingShingle | Kexin Zhang Haiyun Guo Tianli Wang Jianghui Zhang Guojing Yuan Juan Ren Xueqing Zhang Huayu Yang Xiaoyan Lu Zhihui Zhu Jun Du Haiyan Shi Guifang Jin Jiahu Hao Ying Sun Puyu Su Zhihua Zhang A bidirectional association between smartphone addiction and depression among college students: A cross-lagged panel model Frontiers in Public Health smartphone addiction depression college students longitudinal study cross-lagged panel model (CLPM) |
| title | A bidirectional association between smartphone addiction and depression among college students: A cross-lagged panel model |
| title_full | A bidirectional association between smartphone addiction and depression among college students: A cross-lagged panel model |
| title_fullStr | A bidirectional association between smartphone addiction and depression among college students: A cross-lagged panel model |
| title_full_unstemmed | A bidirectional association between smartphone addiction and depression among college students: A cross-lagged panel model |
| title_short | A bidirectional association between smartphone addiction and depression among college students: A cross-lagged panel model |
| title_sort | bidirectional association between smartphone addiction and depression among college students a cross lagged panel model |
| topic | smartphone addiction depression college students longitudinal study cross-lagged panel model (CLPM) |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2023.1083856/full |
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