Association between cell phone dependence and anxiety-depression co-morbid symptoms among college students

QU Yang; WU Xiaoyan; TAO Shuman; YANG Yajuan; ZOU Liwei; XIE Yang; LI Tingting; ZHANG Dan; ZHAI Shuang; TAO Fangbiao

doi:10.16835/j.cnki.1000-9817.2021.12.020

Volume 42 Issue 12

Dec. 2021

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Article Navigation > CHINESE JOURNAL OF SCHOOL HEALTH > 2021 > 42(12): 1842-1846

QU Yang, WU Xiaoyan, TAO Shuman, YANG Yajuan, ZOU Liwei, XIE Yang, LI Tingting, ZHANG Dan, ZHAI Shuang, TAO Fangbiao. Association between cell phone dependence and anxiety-depression co-morbid symptoms among college students[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2021, 42(12): 1842-1846. doi: 10.16835/j.cnki.1000-9817.2021.12.020

Citation:

QU Yang, WU Xiaoyan, TAO Shuman, YANG Yajuan, ZOU Liwei, XIE Yang, LI Tingting, ZHANG Dan, ZHAI Shuang, TAO Fangbiao. Association between cell phone dependence and anxiety-depression co-morbid symptoms among college students[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2021, 42(12): 1842-1846. doi: 10.16835/j.cnki.1000-9817.2021.12.020

Citation:

QU Yang, WU Xiaoyan, TAO Shuman, YANG Yajuan, ZOU Liwei, XIE Yang, LI Tingting, ZHANG Dan, ZHAI Shuang, TAO Fangbiao. Association between cell phone dependence and anxiety-depression co-morbid symptoms among college students[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2021, 42(12): 1842-1846. doi: 10.16835/j.cnki.1000-9817.2021.12.020

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Association between cell phone dependence and anxiety-depression co-morbid symptoms among college students

doi: 10.16835/j.cnki.1000-9817.2021.12.020

1.
Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei (230032), China

Received Date: 2021-04-28
Rev Recd Date: 2021-06-17

Available Online: 2021-12-23

Publish Date: 2021-12-25

Abstract

Abstract

Objective To describe the prevalence of cell phone dependence and anxiety-depression co-morbidity among college students, and to explore the association between cell phone dependence and anxiety-depression co-morbidity among college students, in order to provide a reference basis for promoting the development of college students' mental health. Methods Using a prospective study design, baseline survey was conducted in April-May 2019 among a random whole-group sample of 1 135 individuals in two universities in Hefei, Anhui Province and Shangrao, Jiangxi Province, and a follow-up survey was conducted in November 2019 among the sampled population, with a valid number of 1 110 individuals after matching with the baseline survey. The Self-rating Questionnaire for Adolescent Problematic Mobile Phone Use (SQAPMPU) was used to assess college students' cell phone dependence, and the Depression-Anxiety-Stress Self-Rating Scale (DASS-21) to assess depression, anxiety, and anxiety-depression co-morbidity symptoms, and the self-administered Health-Related Behavior and Mental Health Questionnaire for College Students to report sleep duration. Results The detection rates of cell phone dependence among college students at baseline and follow-up surveys were 24.5% and 27.7%, respectively, and the detection rates of anxiety symptoms, depressive symptoms, and anxiety-depression co-morbidities were 28.7%, 21.3%, and 18.4%, respectively. The results of the binary Logistic regression model showed that cell phone dependence was positively associated with the risk of anxiety-depression co-morbid symptoms among college students at baseline (OR=5.79, 95%CI=4.06-8.24) and after six months of follow-up (OR=2.62, 95%CI=1.86-3.69) (P < 0.01). The results of the moderating effect analysis showed that sleep duration moderated the association between cell phone dependence and anxiety-depression co-morbidities, and the interaction term was statistically significant (β=0.08, 0.04, P < 0.01). Conclusion Cell phone dependence in college students increases the risk of depressive and anxiety co-morbid symptoms, and sleep mitigates effect of cell phone dependence on depressive and anxiety co-morbid symptoms in college students.
- Cellular phone,
- Behavior, addictive,
- Anxiety,
- Depression,
- Regression analysis,
- Students

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References(32)

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