{"title":"有问题的智能手机使用与抑郁和焦虑有关:一个跨诊断和三样本网络分析","authors":"Zhihua Guo , Rui Qiu , Tianqi Yang , Yue Gong, Yushan Li, Xia Zhu","doi":"10.1016/j.addbeh.2025.108498","DOIUrl":null,"url":null,"abstract":"<div><div>Problematic smartphone use (PSU) is associated with depression and anxiety disorders. However, it remains unclear which PSU symptoms are the most important contributors to depression, anxiety, and their comorbidity. Therefore, we examined the symptom-level network of PSU and separate and comorbid depression and anxiety. Three regularized partial-correlation networks were estimated for each sample, including the PSU-depression-anxiety (P-D-A), PSU-depression (P-D), and PSU-anxiety (P-A) networks. Three independent Chinese samples encompassing 325 aged 18–36 years, 1047 aged 18–26 years, and 988 aged 18–40 years were recruited in 2022, 2023, and 2024, respectively. PSU, depression, and anxiety were assessed using Smartphone Application-Based Addiction Scale, Patient Health Questionnaire-9, and Generalized Anxiety Disorder-7, respectively. Centrality and bridge centrality indices were estimated, and network comparison tests (NCTs) were performed to compare the networks of the three samples pairwise. NCTs revealed comparable network structures and consistent roles of specific symptoms across three samples. In P-D-A networks, PSU symptom “relapse” and depression symptom “depressed or sad mood” consistently had the highest centrality, whereas PSU symptom “conflict” consistently presented the highest bridge centrality. In P-D networks, the central nodes were identical to those observed in the P-D-A networks. In P-A networks, PSU symptom “relapse” and anxiety symptom “uncontrollable worry” consistently functioned as the central nodes. These findings elucidated the consistent and central role of “relapse” in the development and maintenance of depression, anxiety, and their comorbidity, thus establishing its roles as transdiagnostic risk factor. Furthermore, the results showed that PSU symptom “conflict” was the bridge node responsible for comorbidity. The replicability of these findings was confirmed, and their implications were thoroughly discussed.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"172 ","pages":"Article 108498"},"PeriodicalIF":3.6000,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Problematic smartphone use is related to depression and anxiety: A transdiagnostic and three-sample network analysis\",\"authors\":\"Zhihua Guo , Rui Qiu , Tianqi Yang , Yue Gong, Yushan Li, Xia Zhu\",\"doi\":\"10.1016/j.addbeh.2025.108498\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Problematic smartphone use (PSU) is associated with depression and anxiety disorders. However, it remains unclear which PSU symptoms are the most important contributors to depression, anxiety, and their comorbidity. Therefore, we examined the symptom-level network of PSU and separate and comorbid depression and anxiety. Three regularized partial-correlation networks were estimated for each sample, including the PSU-depression-anxiety (P-D-A), PSU-depression (P-D), and PSU-anxiety (P-A) networks. Three independent Chinese samples encompassing 325 aged 18–36 years, 1047 aged 18–26 years, and 988 aged 18–40 years were recruited in 2022, 2023, and 2024, respectively. PSU, depression, and anxiety were assessed using Smartphone Application-Based Addiction Scale, Patient Health Questionnaire-9, and Generalized Anxiety Disorder-7, respectively. Centrality and bridge centrality indices were estimated, and network comparison tests (NCTs) were performed to compare the networks of the three samples pairwise. NCTs revealed comparable network structures and consistent roles of specific symptoms across three samples. In P-D-A networks, PSU symptom “relapse” and depression symptom “depressed or sad mood” consistently had the highest centrality, whereas PSU symptom “conflict” consistently presented the highest bridge centrality. In P-D networks, the central nodes were identical to those observed in the P-D-A networks. In P-A networks, PSU symptom “relapse” and anxiety symptom “uncontrollable worry” consistently functioned as the central nodes. These findings elucidated the consistent and central role of “relapse” in the development and maintenance of depression, anxiety, and their comorbidity, thus establishing its roles as transdiagnostic risk factor. Furthermore, the results showed that PSU symptom “conflict” was the bridge node responsible for comorbidity. The replicability of these findings was confirmed, and their implications were thoroughly discussed.</div></div>\",\"PeriodicalId\":7155,\"journal\":{\"name\":\"Addictive behaviors\",\"volume\":\"172 \",\"pages\":\"Article 108498\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2025-09-17\",\"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/S030646032500259X\",\"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/S030646032500259X","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, CLINICAL","Score":null,"Total":0}
Problematic smartphone use is related to depression and anxiety: A transdiagnostic and three-sample network analysis
Problematic smartphone use (PSU) is associated with depression and anxiety disorders. However, it remains unclear which PSU symptoms are the most important contributors to depression, anxiety, and their comorbidity. Therefore, we examined the symptom-level network of PSU and separate and comorbid depression and anxiety. Three regularized partial-correlation networks were estimated for each sample, including the PSU-depression-anxiety (P-D-A), PSU-depression (P-D), and PSU-anxiety (P-A) networks. Three independent Chinese samples encompassing 325 aged 18–36 years, 1047 aged 18–26 years, and 988 aged 18–40 years were recruited in 2022, 2023, and 2024, respectively. PSU, depression, and anxiety were assessed using Smartphone Application-Based Addiction Scale, Patient Health Questionnaire-9, and Generalized Anxiety Disorder-7, respectively. Centrality and bridge centrality indices were estimated, and network comparison tests (NCTs) were performed to compare the networks of the three samples pairwise. NCTs revealed comparable network structures and consistent roles of specific symptoms across three samples. In P-D-A networks, PSU symptom “relapse” and depression symptom “depressed or sad mood” consistently had the highest centrality, whereas PSU symptom “conflict” consistently presented the highest bridge centrality. In P-D networks, the central nodes were identical to those observed in the P-D-A networks. In P-A networks, PSU symptom “relapse” and anxiety symptom “uncontrollable worry” consistently functioned as the central nodes. These findings elucidated the consistent and central role of “relapse” in the development and maintenance of depression, anxiety, and their comorbidity, thus establishing its roles as transdiagnostic risk factor. Furthermore, the results showed that PSU symptom “conflict” was the bridge node responsible for comorbidity. The replicability of these findings was confirmed, and their implications were thoroughly discussed.
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.