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Patterns of smartphone usage associated with depressive symptoms in nursing students
INTRODUCTION: Rather than focusing on the activities that the smartphone has been used for, the existing literature frequently focuses on the association between problematic use of smartphone independent of the content of use (self-reported) and depressive symptoms in youth. This study aims to explo...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10434770/ https://www.ncbi.nlm.nih.gov/pubmed/37599870 http://dx.doi.org/10.3389/fpsyt.2023.1136126 |
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author | Yang, Yajuan Granlund, Mats Tao, Fangbiao Tao, Shuman Zou, Liwei Wu, Xiaoyan Hong, Jingfang Enskär, Karin |
author_facet | Yang, Yajuan Granlund, Mats Tao, Fangbiao Tao, Shuman Zou, Liwei Wu, Xiaoyan Hong, Jingfang Enskär, Karin |
author_sort | Yang, Yajuan |
collection | PubMed |
description | INTRODUCTION: Rather than focusing on the activities that the smartphone has been used for, the existing literature frequently focuses on the association between problematic use of smartphone independent of the content of use (self-reported) and depressive symptoms in youth. This study aims to explore patterns of smartphone usage and the association with depressive symptoms in nursing students. METHODS: This cross-sectional study of nursing freshmen (n = 1, 716) was conducted between October and November 2018. Participants were recruited from three Chinese public medical universities using stratified cluster sampling. Self-rated frequency of 12 different smartphone activities over the preceding week was evaluated. Depressive symptoms were assessed by using the Patient Health Questionnaire-9 (PHQ-9). RESULTS: Of the 1,716 students recruited, 1,424 (83.0%) were girls, and the mean [SD] age was 18.90 [1.39] years. Using principal component analysis (PCA), two typical usage patterns were indicated. The “entertainment pattern” factor included a high frequency of streaming images or videos, searching for information, chatting online, online shopping, downloading, reading online, checking social media sites, taking pictures or videos, and playing games. The “communication pattern” had a high frequency of emailing, texting, and calling. Using logistic regression models, the association between smartphone usage patterns and depressive symptoms was tested. The “communication pattern” was significantly associated with a 53% increase in the odds of moderate and above depressive symptoms (AOR = 1.529; 95% CI = 1.286–1.818; p < 0.001), controlling for a set of socio-demographic and smartphone use covariates. DISCUSSION: This study provides insights into how the patterns of smartphone usage are associated with the severity of depressive symptoms in nursing students. It indicates that it may primarily be how we use our smartphones rather than how much we use them that poses a risk for depression. |
format | Online Article Text |
id | pubmed-10434770 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104347702023-08-18 Patterns of smartphone usage associated with depressive symptoms in nursing students Yang, Yajuan Granlund, Mats Tao, Fangbiao Tao, Shuman Zou, Liwei Wu, Xiaoyan Hong, Jingfang Enskär, Karin Front Psychiatry Psychiatry INTRODUCTION: Rather than focusing on the activities that the smartphone has been used for, the existing literature frequently focuses on the association between problematic use of smartphone independent of the content of use (self-reported) and depressive symptoms in youth. This study aims to explore patterns of smartphone usage and the association with depressive symptoms in nursing students. METHODS: This cross-sectional study of nursing freshmen (n = 1, 716) was conducted between October and November 2018. Participants were recruited from three Chinese public medical universities using stratified cluster sampling. Self-rated frequency of 12 different smartphone activities over the preceding week was evaluated. Depressive symptoms were assessed by using the Patient Health Questionnaire-9 (PHQ-9). RESULTS: Of the 1,716 students recruited, 1,424 (83.0%) were girls, and the mean [SD] age was 18.90 [1.39] years. Using principal component analysis (PCA), two typical usage patterns were indicated. The “entertainment pattern” factor included a high frequency of streaming images or videos, searching for information, chatting online, online shopping, downloading, reading online, checking social media sites, taking pictures or videos, and playing games. The “communication pattern” had a high frequency of emailing, texting, and calling. Using logistic regression models, the association between smartphone usage patterns and depressive symptoms was tested. The “communication pattern” was significantly associated with a 53% increase in the odds of moderate and above depressive symptoms (AOR = 1.529; 95% CI = 1.286–1.818; p < 0.001), controlling for a set of socio-demographic and smartphone use covariates. DISCUSSION: This study provides insights into how the patterns of smartphone usage are associated with the severity of depressive symptoms in nursing students. It indicates that it may primarily be how we use our smartphones rather than how much we use them that poses a risk for depression. Frontiers Media S.A. 2023-08-03 /pmc/articles/PMC10434770/ /pubmed/37599870 http://dx.doi.org/10.3389/fpsyt.2023.1136126 Text en Copyright © 2023 Yang, Granlund, Tao, Tao, Zou, Wu, Hong and Enskär. 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 Yang, Yajuan Granlund, Mats Tao, Fangbiao Tao, Shuman Zou, Liwei Wu, Xiaoyan Hong, Jingfang Enskär, Karin Patterns of smartphone usage associated with depressive symptoms in nursing students |
title | Patterns of smartphone usage associated with depressive symptoms in nursing students |
title_full | Patterns of smartphone usage associated with depressive symptoms in nursing students |
title_fullStr | Patterns of smartphone usage associated with depressive symptoms in nursing students |
title_full_unstemmed | Patterns of smartphone usage associated with depressive symptoms in nursing students |
title_short | Patterns of smartphone usage associated with depressive symptoms in nursing students |
title_sort | patterns of smartphone usage associated with depressive symptoms in nursing students |
topic | Psychiatry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10434770/ https://www.ncbi.nlm.nih.gov/pubmed/37599870 http://dx.doi.org/10.3389/fpsyt.2023.1136126 |
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