Network Analysis of Time Use and Depressive Symptoms Among Emerging Adults: Findings From the Guizhou Population Health Cohort Study
BackgroundTo date, the relationship between diverse time use behaviors and depression status among emerging adults have not been disentangled in the literature. Therefore, if and how the time displacement mechanism activates depressive symptoms among emerging adults remains unclear.MethodsTo fill th...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-04-01
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| Series: | Frontiers in Psychiatry |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyt.2022.809745/full |
| _version_ | 1811330026010836992 |
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| author | Zhihao Ma Fouxi Zhao Yiying Wang Tao Liu Naipeng Chao |
| author_facet | Zhihao Ma Fouxi Zhao Yiying Wang Tao Liu Naipeng Chao |
| author_sort | Zhihao Ma |
| collection | DOAJ |
| description | BackgroundTo date, the relationship between diverse time use behaviors and depression status among emerging adults have not been disentangled in the literature. Therefore, if and how the time displacement mechanism activates depressive symptoms among emerging adults remains unclear.MethodsTo fill this gap in the literature, we employed a network analysis to make estimations. The emerging adult sample (N = 1,811) was collected by the Guizhou Population Health Cohort Study. Time use behaviors were measured by an adaption of the self-administered International Physical Activity Questionnaire, and depressive symptoms were assessed using the 9-item Patient Health Questionnaire (PHQ-9).ResultsThe results revealed that the time displacement mechanism of emerging adults differed from that of adolescents. Sleep duration was not crowded out by other activities, while the time spent on computer use was found to be negatively related to time spent on heavy work activities. Moreover, computer use behavior triggered three depressive symptoms (“Anhedonia,” “Guilt,” and “Motor”), but inhibited “Suicide.” The results of the directed acyclic graph revealed that females and heavy drinkers were at risk of depression.LimitationsThe study sample was confined to only one province, which may limit its generalizability. The cross-sectional design impeded the ability to draw causal inferences.ConclusionOur results enhance the current understanding of the internal mechanism of how time use behaviors influence depressive symptoms among emerging adults. |
| first_indexed | 2024-04-13T15:55:16Z |
| format | Article |
| id | doaj.art-67aca9fd46eb43f480285d3a19f224e4 |
| institution | Directory Open Access Journal |
| issn | 1664-0640 |
| language | English |
| last_indexed | 2024-04-13T15:55:16Z |
| publishDate | 2022-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychiatry |
| spelling | doaj.art-67aca9fd46eb43f480285d3a19f224e42022-12-22T02:40:44ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402022-04-011310.3389/fpsyt.2022.809745809745Network Analysis of Time Use and Depressive Symptoms Among Emerging Adults: Findings From the Guizhou Population Health Cohort StudyZhihao Ma0Fouxi Zhao1Yiying Wang2Tao Liu3Naipeng Chao4Computational Communication Collaboratory, School of Journalism and Communication, Nanjing University, Nanjing, ChinaPrevention and Control Institute for Chronic Non-communicable Diseases, Guizhou Provincial Center for Disease Control and Prevention, Guiyang, ChinaPrevention and Control Institute for Chronic Non-communicable Diseases, Guizhou Provincial Center for Disease Control and Prevention, Guiyang, ChinaPrevention and Control Institute for Chronic Non-communicable Diseases, Guizhou Provincial Center for Disease Control and Prevention, Guiyang, ChinaSchool of Media and Communications, Shenzhen University, Shenzhen, ChinaBackgroundTo date, the relationship between diverse time use behaviors and depression status among emerging adults have not been disentangled in the literature. Therefore, if and how the time displacement mechanism activates depressive symptoms among emerging adults remains unclear.MethodsTo fill this gap in the literature, we employed a network analysis to make estimations. The emerging adult sample (N = 1,811) was collected by the Guizhou Population Health Cohort Study. Time use behaviors were measured by an adaption of the self-administered International Physical Activity Questionnaire, and depressive symptoms were assessed using the 9-item Patient Health Questionnaire (PHQ-9).ResultsThe results revealed that the time displacement mechanism of emerging adults differed from that of adolescents. Sleep duration was not crowded out by other activities, while the time spent on computer use was found to be negatively related to time spent on heavy work activities. Moreover, computer use behavior triggered three depressive symptoms (“Anhedonia,” “Guilt,” and “Motor”), but inhibited “Suicide.” The results of the directed acyclic graph revealed that females and heavy drinkers were at risk of depression.LimitationsThe study sample was confined to only one province, which may limit its generalizability. The cross-sectional design impeded the ability to draw causal inferences.ConclusionOur results enhance the current understanding of the internal mechanism of how time use behaviors influence depressive symptoms among emerging adults.https://www.frontiersin.org/articles/10.3389/fpsyt.2022.809745/fulltime usescreen timetime displacementdepressionemerging adultnetwork analysis |
| spellingShingle | Zhihao Ma Fouxi Zhao Yiying Wang Tao Liu Naipeng Chao Network Analysis of Time Use and Depressive Symptoms Among Emerging Adults: Findings From the Guizhou Population Health Cohort Study Frontiers in Psychiatry time use screen time time displacement depression emerging adult network analysis |
| title | Network Analysis of Time Use and Depressive Symptoms Among Emerging Adults: Findings From the Guizhou Population Health Cohort Study |
| title_full | Network Analysis of Time Use and Depressive Symptoms Among Emerging Adults: Findings From the Guizhou Population Health Cohort Study |
| title_fullStr | Network Analysis of Time Use and Depressive Symptoms Among Emerging Adults: Findings From the Guizhou Population Health Cohort Study |
| title_full_unstemmed | Network Analysis of Time Use and Depressive Symptoms Among Emerging Adults: Findings From the Guizhou Population Health Cohort Study |
| title_short | Network Analysis of Time Use and Depressive Symptoms Among Emerging Adults: Findings From the Guizhou Population Health Cohort Study |
| title_sort | network analysis of time use and depressive symptoms among emerging adults findings from the guizhou population health cohort study |
| topic | time use screen time time displacement depression emerging adult network analysis |
| url | https://www.frontiersin.org/articles/10.3389/fpsyt.2022.809745/full |
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