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Anxiety and problematic smartphone use (PSPU) are prevalent issues among college students, and traditional research has tended to focus on cross-sectional data and grounded only in overall levels, thereby ignoring the complex interactions between the two over time. The development of network analysis methods has provided a new perspective for in-depth exploration of the relationship. This study aimed to explore the complex longitudinal interactions and specific pathways between problematic smartphone use and anxiety among Chinese college students from an internal specific symptom perspective. This study constructed a cross-lagged network model using longitudinal data on problematic smartphone use and anxiety symptoms in two waves of college students collected from 2022 to 2023 (N=741, M age  = 18.49, SD=0.81, 45.6 % male). The study found that anxiety symptoms and problematic smartphone use interacted with each other and had a vicious cycle of symptoms over time, with the effects of anxiety symptoms being more pronounced. "Feeling afraid" and "Uncontrollable worrying" had the most significant effects on the other symptoms, with "Impatient without the phone" and "Can't stand not having a phone" were more likely to be influenced by other symptoms. "Feeling afraid" may be a bridge symptom in the network to connect the anxiety and problematic smartphone use communities. The findings suggest that accurately intervening in the intrinsic link between problematic smartphone use and anxiety symptoms can combat the exacerbation of both problems simultaneously, resulting in more effective and comprehensive treatment., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier Ltd.)

Background: The incidence of mobile phone addiction among adolescents in rural areas of China is increasing year by year, and has already exceeded that of some cities. And phone addiction increases the risk of anxiety and poor sleep. Therefore, this study used network analysis to investigate the relationship between mobile phone addiction and anxiety symptoms, and the predictability to sleep quality., Methods: From September 2021 to March 2022, a total of 1920 rural adolescents in Xuzhou, China were included. The survey included information on phone addiction, anxiety symptoms, and sleep quality. Network analysis was used to estimate the network structure of adolescents' mobile phone addiction and anxiety symptoms. LOWESS curve and linear regression were used to test the predictive ability of node-centrality on sleep quality., Results: In the network of mobile phone addiction-anxiety symptoms, the most influential symptoms were Failure to cut down the time, Anxiety if not used for some time, and Alleviate loneliness. Irritability was the most prominent bridging symptom. Gender difference had no effect on network structure. Nodes in the network are not predictive of sleep quality., Conclusion: Failure to cut down the time is the most important symptom, suggesting that measures should be taken to reduce the amount of time spent on mobile phones. For example, increase outdoor exercise, increase the real company of friends and family, in order to reduce the occurrence of mobile phone addiction and anxiety., (© 2023. The Author(s).)