Jie Zhang , Xinyi Feng , Qin Zhang , Di Wu , Wenhe Wang , Shudan Liu , Qin Liu
{"title":"屏幕时间轨迹与抑郁和焦虑共病之间的关系。","authors":"Jie Zhang , Xinyi Feng , Qin Zhang , Di Wu , Wenhe Wang , Shudan Liu , Qin Liu","doi":"10.1016/j.addbeh.2025.108260","DOIUrl":null,"url":null,"abstract":"<div><div>Depression and anxiety are often comorbid among adolescents. Adolescent screen time changes over time. This study investigates the association between screen time trajectories and the comorbidity of depression and anxiety from a longitudinal perspective. The data were collected from an ongoing prospective puberty cohort which was established in 2014 from Chongqing, China. 838 participants (52.03 % female; wave 1 mean age = 8.62, SD = 1.15) were followed up from 2014 to 2020. Questions about screen time were administered every six months. Trajectories of screen time were identified using latent class growth analysis. Children’s Depression Inventory (CDI) and Screen for Child Anxiety Related Disorders (SCARED) were used to measure depression and anxiety. Latent profile analysis was used to identify the subtypes of comorbidity of depression and anxiety. Logistic regression was used to explore the association between screen time trajectory and the comorbidity of depression and anxiety. Three distinct trajectories of screen time were identified: Group Low (68.26 %) had consistently low screen time, Group High (26.37 %) had high screen time and Group Increasing (5.37 %) was characterized by an increasing screen time. Four subtypes of the comorbidity of depression and anxiety were fitted (“High comorbidity”, “Low comorbidity”, “Low depression symptoms” and “No symptoms”). Group Increasing and Group High were associated with “Low comorbidity” and “Low depression symptoms”. Group Increasing was more likely to be the “high comorbidity” both boys and girls. However, Group High was associated with “high comorbidity” only in girls. The results of this study may inform future research and provide possible intervention targets.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"163 ","pages":"Article 108260"},"PeriodicalIF":3.7000,"publicationDate":"2025-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The association between screen time trajectories and the comorbidity of depression and anxiety\",\"authors\":\"Jie Zhang , Xinyi Feng , Qin Zhang , Di Wu , Wenhe Wang , Shudan Liu , Qin Liu\",\"doi\":\"10.1016/j.addbeh.2025.108260\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Depression and anxiety are often comorbid among adolescents. Adolescent screen time changes over time. This study investigates the association between screen time trajectories and the comorbidity of depression and anxiety from a longitudinal perspective. The data were collected from an ongoing prospective puberty cohort which was established in 2014 from Chongqing, China. 838 participants (52.03 % female; wave 1 mean age = 8.62, SD = 1.15) were followed up from 2014 to 2020. Questions about screen time were administered every six months. Trajectories of screen time were identified using latent class growth analysis. Children’s Depression Inventory (CDI) and Screen for Child Anxiety Related Disorders (SCARED) were used to measure depression and anxiety. Latent profile analysis was used to identify the subtypes of comorbidity of depression and anxiety. Logistic regression was used to explore the association between screen time trajectory and the comorbidity of depression and anxiety. Three distinct trajectories of screen time were identified: Group Low (68.26 %) had consistently low screen time, Group High (26.37 %) had high screen time and Group Increasing (5.37 %) was characterized by an increasing screen time. Four subtypes of the comorbidity of depression and anxiety were fitted (“High comorbidity”, “Low comorbidity”, “Low depression symptoms” and “No symptoms”). Group Increasing and Group High were associated with “Low comorbidity” and “Low depression symptoms”. Group Increasing was more likely to be the “high comorbidity” both boys and girls. However, Group High was associated with “high comorbidity” only in girls. The results of this study may inform future research and provide possible intervention targets.</div></div>\",\"PeriodicalId\":7155,\"journal\":{\"name\":\"Addictive behaviors\",\"volume\":\"163 \",\"pages\":\"Article 108260\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-01-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Addictive behaviors\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0306460325000152\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, CLINICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Addictive behaviors","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0306460325000152","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, CLINICAL","Score":null,"Total":0}
The association between screen time trajectories and the comorbidity of depression and anxiety
Depression and anxiety are often comorbid among adolescents. Adolescent screen time changes over time. This study investigates the association between screen time trajectories and the comorbidity of depression and anxiety from a longitudinal perspective. The data were collected from an ongoing prospective puberty cohort which was established in 2014 from Chongqing, China. 838 participants (52.03 % female; wave 1 mean age = 8.62, SD = 1.15) were followed up from 2014 to 2020. Questions about screen time were administered every six months. Trajectories of screen time were identified using latent class growth analysis. Children’s Depression Inventory (CDI) and Screen for Child Anxiety Related Disorders (SCARED) were used to measure depression and anxiety. Latent profile analysis was used to identify the subtypes of comorbidity of depression and anxiety. Logistic regression was used to explore the association between screen time trajectory and the comorbidity of depression and anxiety. Three distinct trajectories of screen time were identified: Group Low (68.26 %) had consistently low screen time, Group High (26.37 %) had high screen time and Group Increasing (5.37 %) was characterized by an increasing screen time. Four subtypes of the comorbidity of depression and anxiety were fitted (“High comorbidity”, “Low comorbidity”, “Low depression symptoms” and “No symptoms”). Group Increasing and Group High were associated with “Low comorbidity” and “Low depression symptoms”. Group Increasing was more likely to be the “high comorbidity” both boys and girls. However, Group High was associated with “high comorbidity” only in girls. The results of this study may inform future research and provide possible intervention targets.
期刊介绍:
Addictive Behaviors is an international peer-reviewed journal publishing high quality human research on addictive behaviors and disorders since 1975. The journal accepts submissions of full-length papers and short communications on substance-related addictions such as the abuse of alcohol, drugs and nicotine, and behavioral addictions involving gambling and technology. We primarily publish behavioral and psychosocial research but our articles span the fields of psychology, sociology, psychiatry, epidemiology, social policy, medicine, pharmacology and neuroscience. While theoretical orientations are diverse, the emphasis of the journal is primarily empirical. That is, sound experimental design combined with valid, reliable assessment and evaluation procedures are a requisite for acceptance. However, innovative and empirically oriented case studies that might encourage new lines of inquiry are accepted as well. Studies that clearly contribute to current knowledge of etiology, prevention, social policy or treatment are given priority. Scholarly commentaries on topical issues, systematic reviews, and mini reviews are encouraged. We especially welcome multimedia papers that incorporate video or audio components to better display methodology or findings.
Studies can also be submitted to Addictive Behaviors? companion title, the open access journal Addictive Behaviors Reports, which has a particular interest in ''non-traditional'', innovative and empirically-oriented research such as negative/null data papers, replication studies, case reports on novel treatments, and cross-cultural research.