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ORIGINAL RESEARCH

The Links Among Cumulative Ecological Risk and Smartphone Addiction, Sleep Quality in Chinese University Freshmen: A Two-Wave Study

ORCID Icon, &
Pages 379-392 | Received 02 Nov 2023, Accepted 13 Jan 2024, Published online: 01 Feb 2024
 

Abstract

Purpose

While previous research has highlighted the influence of family, school, and peer factors on smartphone addiction and sleep quality, the cumulative effects of these risk factors and their underlying causal relationships remain poorly understood. Therefore, based on the cumulative risk model and the bioecological model of human development, this study examined the longitudinal associations between cumulative ecological risk and smartphone addiction and sleep quality.

Methods

A survey was conducted among 653 Chinese university freshmen (mean age 18.56) at two distinct time points, with a 6-month interval. The initial assessment focused on family, school, and peer risk factors, while the subsequent assessment focused on smartphone addiction and sleep quality.

Results

Approximately 63.71% of university freshmen were found to be at risk of exposure. Compared to other risk-exposure groups, the group with no-risk exposure exhibited the lowest scores for smartphone addiction and sleep quality. The relationships between cumulative ecological risk and smartphone addiction and sleep quality displayed a linear pattern and a discernible “gradient effect”. Smartphone addiction was identified as a fully mediating factor in the link between cumulative ecological risk and sleep quality, with a mediating effect value of 0.08 (representing 44.44% of the total effect).

Conclusion

University freshmen face various risks associated with their families, schools, and peers. The cumulative ecological risk can, directly and indirectly, impact sleep quality by influencing smartphone addiction. Given the observed “gradient effect” of cumulative ecological risk on smartphone addiction and sleep quality, it is imperative to adopt comprehensive risk prevention strategies to mitigate the impact of each risk factor.

This article is part of the following collections:
Social Media and Mental Health: Exploring their Complex Relationships

Data Sharing Statement

The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.

Informed Consent

All participants participating in our study provided informed consent prior to study participation. They agreed to participate and signed an informed consent form. Informed consent procedures were used to collect all study data.

Disclosure

The authors report no conflicts of interest in this work.

Additional information

Funding

This work was supported by the aid program for Science and Technology Innovative Research Team in Higher Educational Institutions of Hunan Province and China Youth & Children Research Association (No.2023B01).