Hostname: page-component-586b7cd67f-dlnhk Total loading time: 0 Render date: 2024-11-29T02:43:26.415Z Has data issue: false hasContentIssue false

Relationship of smartphone use severity with sleep quality in bipolar patients

Published online by Cambridge University Press:  19 July 2023

J. Kim*
Affiliation:
Department of Psychiatry, Korea University Guro Hospital, Seoul, Korea, Republic Of
S.-H. Kim
Affiliation:
Department of Psychiatry, Korea University Guro Hospital, Seoul, Korea, Republic Of
*
*Corresponding author.

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Introduction

Maintaining a good sleep-wake cycle is an important factor for the prognosis and management of bipolar disorder. However, studies on the to various technological advances including smartphoe usage affecting inter-episodic sleep quality are yet relatively less thoroughly investigated.

Objectives

This study aims to identify the association between smartphone usage and inter-episodic sleep quality of bipolar patients.

Methods

A total 52 Bipolar I or II subjects who were euthymic for at lest 6 months were included in this analysis. Pearson correlation analysis was used to examine the association among psychological assessments, including the Pittsburgh Sleep Quality Index (PSQI-K), Smartphone Addiction Scale (SAS), Hamilton Depression Rating Scale (K-HDRS), Young Mania Rating Scale (K-YMRS), and Multidimensional Scale of Perceived Social Support (MDPSS). Significant results were then analyzed using a multiple linear regression analysis with PSQI-K as the dependent variable to assess the impact of clinical variables on sleep quality.

Results

PSQI-K was positively correlated with SAS (r = 0.457, p < 0.001), K-HDRS (r = 0.447, p < 0.001), and negatively correlated with MDPSS (r = -0.336, p < 0.05). Smartphone use, depressive symptoms, and perceived social support seemed to explain 35.7% of sleep quality. After adjusting for confounders, more smartphone use and more severe depressive symptoms were associated with poor sleep quality (SAS: β = 0.383, p = 0.002; K-HDRS: β = 0.339, p = 0.006), but perceived social support did not reach statistical significance (MDPSS: β = -0.204, p = 0.086).

Conclusions

The results of this study show that the more a person uses a smartphone, the worse their sleep is. This effect is significant, even when other factors are taken into account. These results support the possibility that improving the degree of smartphone use could be an essential intervention target for improving sleep quality during the inter-episode period in patients with bipolar disorder.

Disclosure of Interest

None Declared

Type
Abstract
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the European Psychiatric Association
Submit a response

Comments

No Comments have been published for this article.