PSYCH OpenIR  > 中国科学院行为科学重点实验室
Examining the Correlation Between Depression and Social Behavior on Smartphones Through Usage Metadata: Empirical Study
Wang, Yameng1,2; Ren, Xiaotong3; Liu, Xiaoqian1,4; Zhu, Tingshao1,4
Corresponding AuthorZhu, Tingshao(tszhu@psych.ac.cn)
AbstractBackground: As smartphone has been widely used, understanding how depression correlates with social behavior on smartphones can be beneficial for early diagnosis of depression. An enormous amount of research relied on self-report questionnaires, which is not objective. Only recently the increased availability of rich data about human behavior in digital space has provided new perspectives for the investigation of individual differences. Objective: The objective of this study was to explore depressed Chinese individuals' social behavior in digital space through metadata collected via smartphones. Methods: A total of 120 participants were recruited to carry a smartphone with a metadata collection app (MobileSens). At the end of metadata collection, they were instructed to complete the Center for Epidemiological Studies-Depression Scale (CES-D). We then separated participants into nondepressed and depressed groups based on their scores on CES-D. From the metadata of smartphone usage, we extracted 44 features, including traditional social behaviors such as making calls and sending SMS text messages, and the usage of social apps (eg, WeChat and Sina Weibo, 2 popular social apps in China). The 2-way ANOVA (nondepressed vs depressed x male vs female) and multiple logistic regression analysis were conducted to investigate differences in social behaviors on smartphones among users. Results: The results found depressed users received less calls from contacts (all day: F-1,F-116=3 .995, P=.048, eta(2) =0.033; afternoon: F-1,F-116 =5.278, P=.02, eta(2) =0.044), and used social apps more frequently (all day: F-1,F-116=6.801, P=.01, eta(2) =0.055; evening: F-1,F-116 =6.902, P=.01, eta(2) =0.056) than nondepressed ones. In the depressed group, females used Weibo more frequently than males (all day: F-1,F-116=11.744, P=.001, eta(2)=0.092; morning: F-1,F-116=9.105, P=.003, eta(2)=0.073; afternoon: F-1,F-116=14.224, P<.001, eta(2)=0.109; evening: F-1,F-116=9.052, P=.003, eta(2) =0.072). Moreover, usage of social apps in the evening emerged as a predictor of depressive symptoms for all participants (odds ratio [OR] 1.007, 95% CI 1.001-1.013; P=.02) and male (OR 1.013, 95% CI 1.003-1.022; P=.01), and usage of Weibo in the morning emerged as a predictor for female (OR 1.183, 95% CI 1.015-1.378; P=.03). Conclusions: This paper finds that there exists a certain correlation between depression and social behavior on smartphones. The result may be useful to improve social interaction for depressed individuals in the daily lives and may be insightful for early diagnosis of depression.
Keyworddepression digital phenotyping social behavior smartphone usage mobile sensing
2021-01-06
Language英语
DOI10.2196/19046
Source PublicationJMIR MHEALTH AND UHEALTH
ISSN2291-5222
Volume9Issue:1Pages:13
Indexed BySCI
Funding ProjectKey Research Program of the Chinese Academy of Sciences[ZDRW-XH-2019-4]
PublisherJMIR PUBLICATIONS, INC
WOS KeywordCELL-PHONE USE ; NEGATIVE AFFECT ; INTERNET USE ; SELF-REPORT ; CES-D ; QUALITY ; MOOD ; COMMUNICATION ; HEALTH ; CARE
WOS Research AreaHealth Care Sciences & Services ; Medical Informatics
WOS SubjectHealth Care Sciences & Services ; Medical Informatics
WOS IDWOS:000607166700001
Citation statistics
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/38182
Collection中国科学院行为科学重点实验室
Corresponding AuthorZhu, Tingshao
Affiliation1.Chinese Acad Sci, Inst Psychol, CAS Key Lab Behav Sci, 16 Lincui Rd, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Sch Comp Sci & Technol, Beijing, Peoples R China
3.Capital Normal Univ, Coll Foreign Languages, Beijing, Peoples R China
4.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
First Author AffilicationKey Laboratory of Behavioral Science, CAS
Corresponding Author AffilicationKey Laboratory of Behavioral Science, CAS
Recommended Citation
GB/T 7714
Wang, Yameng,Ren, Xiaotong,Liu, Xiaoqian,et al. Examining the Correlation Between Depression and Social Behavior on Smartphones Through Usage Metadata: Empirical Study[J]. JMIR MHEALTH AND UHEALTH,2021,9(1):13.
APA Wang, Yameng,Ren, Xiaotong,Liu, Xiaoqian,&Zhu, Tingshao.(2021).Examining the Correlation Between Depression and Social Behavior on Smartphones Through Usage Metadata: Empirical Study.JMIR MHEALTH AND UHEALTH,9(1),13.
MLA Wang, Yameng,et al."Examining the Correlation Between Depression and Social Behavior on Smartphones Through Usage Metadata: Empirical Study".JMIR MHEALTH AND UHEALTH 9.1(2021):13.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wang, Yameng]'s Articles
[Ren, Xiaotong]'s Articles
[Liu, Xiaoqian]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang, Yameng]'s Articles
[Ren, Xiaotong]'s Articles
[Liu, Xiaoqian]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang, Yameng]'s Articles
[Ren, Xiaotong]'s Articles
[Liu, Xiaoqian]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.