<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Addiction to cell phone use is prevalent in the college student population, which not only affects academic life but also often coincides with psychological problems such as anxiety and depression. Four institutions of higher education with high detection rates of depression and other psychological disorders in previous years were the setting for this paper’s one-year baseline survey and two follow-up studies. Using mental health scores such as depressive symptoms as the dependent variable and cell phone dependence scores as the independent variable, we explored the association between cell phone dependence and depressive symptoms among college students using a partial least squares regression model that combines the features of principal component analysis and stepwise regression. Finally, we designed a social treatment and adjustment strategy for cell phone dependence, selected six college students with severe cell phone dependence to undergo a semester-long intervention and adjustment, and evaluated the effects. The study found that regardless of gender, there was a significant positive association between cell phone dependence and depressive symptoms among college students, with <italic>β</italic> = 0.26, 95% CI: 0.31, 0.38 for male students, and <italic>β</italic> = 0.26, 95% CI: 0.31, 0.39 for female students, and the effect of female dosage was even more pronounced. We scored 15 points. The social intervention adjustment strategy designed in this paper has a better impact on college students suffering from cell phone dependence, which can reduce the time of cell phone use by at least 2 hours or more. This study provides innovative ideas and feasible debugging strategies for managing cell phone use behavior and the mental health of college students.</p>
</abstract>

Addiction to cell phone use is prevalent in the college student population, which not only affects academic life but also often coincides with psychological problems such as anxiety and depression. Four institutions of higher education with high detection rates of depression and other psychological disorders in previous years were the setting for this paper’s one-year baseline survey and two follow-up studies. Using mental health scores such as depressive symptoms as the dependent variable and cell phone dependence scores as the independent variable, we explored the association between cell phone dependence and depressive symptoms among college students using a partial least squares regression model that combines the features of principal component analysis and stepwise regression. Finally, we designed a social treatment and adjustment strategy for cell phone dependence, selected six college students with severe cell phone dependence to undergo a semester-long intervention and adjustment, and evaluated the effects. The study found that regardless of gender, there was a significant positive association between cell phone dependence and depressive symptoms among college students, with β = 0.26, 95% CI: 0.31, 0.38 for male students, and β = 0.26, 95% CI: 0.31, 0.39 for female students, and the effect of female dosage was even more pronounced. We scored 15 points. The social intervention adjustment strategy designed in this paper has a better impact on college students suffering from cell phone dependence, which can reduce the time of cell phone use by at least 2 hours or more. This study provides innovative ideas and feasible debugging strategies for managing cell phone use behavior and the mental health of college students.

The Impact of Cell Phone Dependence on College Students’ Mental Health and Adjustment Strategies in the Context of Big Data

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Addiction to cell phone use is prevalent in the college student population, which not only affects academic life but also often coincides with psychological...

The Impact of Cell Phone Dependence on College Students’ Mental Health and Adjustment Strategies in the Context of Big Data

Online veröffentlicht: 05. Aug. 2024

Seitenbereich: -

Eingereicht: 23. Apr. 2024

Akzeptiert: 10. Juli 2024

DOI: https://doi.org/10.2478/amns-2024-1999

Schlüsselwörter
Partial least squares, Stepwise regression, Principal component analysis, Multiple correlation, Cell phone dependence

© 2024 Zhen Qu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

The Impact of Cell Phone Dependence on College Students’ Mental Health and Adjustment Strategies in the Context of Big Data

Online veröffentlicht: 05. Aug. 2024

Seitenbereich: -

Eingereicht: 23. Apr. 2024

Akzeptiert: 10. Juli 2024

DOI: https://doi.org/10.2478/amns-2024-1999

SchlüsselwörterPartial least squares, Stepwise regression, Principal component analysis, Multiple correlation, Cell phone dependence

© 2024 Zhen Qu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Partial least squares, Stepwise regression, Principal component analysis, Multiple correlation, Cell phone dependence