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Prevalence and Clinical Correlates of Internet Addiction Symptoms and Their Association With Quality of Life in Adolescents With Major Depressive Disorder: A Multicenter Cross-Sectional Study

BACKGROUND: Internet addiction (IA) symptoms are common among adolescents and negatively impact their academic performance and development. These symptoms are also associated with lower quality of life (QOL) and increased suicidality. This study aimed to examine the prevalence and the sociodemograph...

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Autores principales: Wang, Song, Xia, Lei, Wang, Jiawei, Yuan, Xiaoping, Shi, Yudong, Wang, Xixin, Li, Xiaoyue, Hu, Yu, Zhang, Yulong, Yang, Yating, Geng, Feng, Liu, Zhiwei, Chen, Changhao, Wen, Xiangwang, Luo, Xiangfen, Gao, Fei, Liu, Huanzhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9081563/
https://www.ncbi.nlm.nih.gov/pubmed/35546955
http://dx.doi.org/10.3389/fpsyt.2022.819704
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author Wang, Song
Xia, Lei
Wang, Jiawei
Yuan, Xiaoping
Shi, Yudong
Wang, Xixin
Li, Xiaoyue
Hu, Yu
Zhang, Yulong
Yang, Yating
Geng, Feng
Liu, Zhiwei
Chen, Changhao
Wen, Xiangwang
Luo, Xiangfen
Gao, Fei
Liu, Huanzhong
author_facet Wang, Song
Xia, Lei
Wang, Jiawei
Yuan, Xiaoping
Shi, Yudong
Wang, Xixin
Li, Xiaoyue
Hu, Yu
Zhang, Yulong
Yang, Yating
Geng, Feng
Liu, Zhiwei
Chen, Changhao
Wen, Xiangwang
Luo, Xiangfen
Gao, Fei
Liu, Huanzhong
author_sort Wang, Song
collection PubMed
description BACKGROUND: Internet addiction (IA) symptoms are common among adolescents and negatively impact their academic performance and development. These symptoms are also associated with lower quality of life (QOL) and increased suicidality. This study aimed to examine the prevalence and the sociodemographic and clinical correlates of IA symptoms in adolescents with major depressive disorder (MDD) and their association with QOL. METHODS: This cross-sectional study was conducted in three general and four psychiatric hospitals in Anhui Province, China, from January to July 2021. Sociodemographic and clinical data were collected. The Internet Addiction Test (IAT), Center for Epidemiologic Studies of Depression Symptom Scale (CES-D), and World Health Organization Quality of Life Brief version (WHOQOL-BREF) were utilized to examine IA, depressive symptoms, and QOL, respectively. RESULTS: In a multicenter sample of 278 adolescents with MDD, the prevalence of IA symptoms in adolescents with MDD was 46.8% (95% CI: 40.9–52.7%). Logistic regression analysis showed that patients with more severe depressive symptoms (odds ratio [OR] = 1.05, 95% CI: 1.03–1.08), those living in a rural area (OR = 1.94, 95% CI: 1.15–3.27), and those with poor academic performance (OR = 2.90, 95% CI: 1.42–5.95) were more likely to have IA symptoms. After controlling for confounding factors, patients with IA symptoms had significantly poorer QOL in the physical, psychological, and environmental domains than those without IA symptoms. CONCLUSION: IA symptoms are common in adolescents with MDD and appear to be associated with clinical symptoms. We could not infer a causal relationship between IA and depression because this was a cross-sectional study. Considering the positive association between IA symptoms and lower QOL, screening for IA symptoms should be conducted, and effective measures should be implemented for adolescents with MDD.
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spelling pubmed-90815632022-05-10 Prevalence and Clinical Correlates of Internet Addiction Symptoms and Their Association With Quality of Life in Adolescents With Major Depressive Disorder: A Multicenter Cross-Sectional Study Wang, Song Xia, Lei Wang, Jiawei Yuan, Xiaoping Shi, Yudong Wang, Xixin Li, Xiaoyue Hu, Yu Zhang, Yulong Yang, Yating Geng, Feng Liu, Zhiwei Chen, Changhao Wen, Xiangwang Luo, Xiangfen Gao, Fei Liu, Huanzhong Front Psychiatry Psychiatry BACKGROUND: Internet addiction (IA) symptoms are common among adolescents and negatively impact their academic performance and development. These symptoms are also associated with lower quality of life (QOL) and increased suicidality. This study aimed to examine the prevalence and the sociodemographic and clinical correlates of IA symptoms in adolescents with major depressive disorder (MDD) and their association with QOL. METHODS: This cross-sectional study was conducted in three general and four psychiatric hospitals in Anhui Province, China, from January to July 2021. Sociodemographic and clinical data were collected. The Internet Addiction Test (IAT), Center for Epidemiologic Studies of Depression Symptom Scale (CES-D), and World Health Organization Quality of Life Brief version (WHOQOL-BREF) were utilized to examine IA, depressive symptoms, and QOL, respectively. RESULTS: In a multicenter sample of 278 adolescents with MDD, the prevalence of IA symptoms in adolescents with MDD was 46.8% (95% CI: 40.9–52.7%). Logistic regression analysis showed that patients with more severe depressive symptoms (odds ratio [OR] = 1.05, 95% CI: 1.03–1.08), those living in a rural area (OR = 1.94, 95% CI: 1.15–3.27), and those with poor academic performance (OR = 2.90, 95% CI: 1.42–5.95) were more likely to have IA symptoms. After controlling for confounding factors, patients with IA symptoms had significantly poorer QOL in the physical, psychological, and environmental domains than those without IA symptoms. CONCLUSION: IA symptoms are common in adolescents with MDD and appear to be associated with clinical symptoms. We could not infer a causal relationship between IA and depression because this was a cross-sectional study. Considering the positive association between IA symptoms and lower QOL, screening for IA symptoms should be conducted, and effective measures should be implemented for adolescents with MDD. Frontiers Media S.A. 2022-04-25 /pmc/articles/PMC9081563/ /pubmed/35546955 http://dx.doi.org/10.3389/fpsyt.2022.819704 Text en Copyright © 2022 Wang, Xia, Wang, Yuan, Shi, Wang, Li, Hu, Zhang, Yang, Geng, Liu, Chen, Wen, Luo, Gao and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychiatry
Wang, Song
Xia, Lei
Wang, Jiawei
Yuan, Xiaoping
Shi, Yudong
Wang, Xixin
Li, Xiaoyue
Hu, Yu
Zhang, Yulong
Yang, Yating
Geng, Feng
Liu, Zhiwei
Chen, Changhao
Wen, Xiangwang
Luo, Xiangfen
Gao, Fei
Liu, Huanzhong
Prevalence and Clinical Correlates of Internet Addiction Symptoms and Their Association With Quality of Life in Adolescents With Major Depressive Disorder: A Multicenter Cross-Sectional Study
title Prevalence and Clinical Correlates of Internet Addiction Symptoms and Their Association With Quality of Life in Adolescents With Major Depressive Disorder: A Multicenter Cross-Sectional Study
title_full Prevalence and Clinical Correlates of Internet Addiction Symptoms and Their Association With Quality of Life in Adolescents With Major Depressive Disorder: A Multicenter Cross-Sectional Study
title_fullStr Prevalence and Clinical Correlates of Internet Addiction Symptoms and Their Association With Quality of Life in Adolescents With Major Depressive Disorder: A Multicenter Cross-Sectional Study
title_full_unstemmed Prevalence and Clinical Correlates of Internet Addiction Symptoms and Their Association With Quality of Life in Adolescents With Major Depressive Disorder: A Multicenter Cross-Sectional Study
title_short Prevalence and Clinical Correlates of Internet Addiction Symptoms and Their Association With Quality of Life in Adolescents With Major Depressive Disorder: A Multicenter Cross-Sectional Study
title_sort prevalence and clinical correlates of internet addiction symptoms and their association with quality of life in adolescents with major depressive disorder: a multicenter cross-sectional study
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9081563/
https://www.ncbi.nlm.nih.gov/pubmed/35546955
http://dx.doi.org/10.3389/fpsyt.2022.819704
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