The bidirectional associations between smartphone multitasking and anxiety symptoms among Chinese college students

Smartphone multitasking is associated with higher anxiety symptoms at baseline and follow-up, but no bidirectional relationship exists. Reducing smartphone use may improve mental wellbeing.

Authors

Institutions

Publication Details

Journal
Journal of Behavioral Addictions
Published
2025-05-23
DOI
https://doi.org/10.1556/2006.2025.00045
Citations
1
Primary Topic
Impact of Technology on Adolescents
Type
article
Field-Weighted Citation Impact
4.20

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The bidirectional associations between smartphone multitasking and anxiety symptoms among Chinese college students

Fangbiao Tao, Yang Xie, Shuman Tao, Yuhui Wan et al.
1 citations
Journal of Behavioral Addictions
Impact of Technology on Adolescents
4.20
article

The bidirectional associations between smartphone multitasking and anxiety symptoms among Chinese college students

Fangbiao Tao, Yang Xie, Shuman Tao, Yuhui Wan, Xiaoyan Wu, Renjie Li, Meng Wang
article en
1 citations

Abstract

Smartphone multitasking is associated with higher anxiety symptoms at baseline and follow-up, but no bidirectional relationship exists. Reducing smartphone use may improve mental wellbeing.

Journal of Behavioral AddictionsVol. 14(2)
Anhui Medical University (CN), National Health and Family Planning Commission (CN), Second Affiliated Hospital of Anhui Medical University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 8%
Impact of Technology on Adolescents
4.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.