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

<sec>
<h3>Objectives</h3>
<p>To examine the association between social media addiction and sleep quality among undergraduate nursing students.</p>
</sec>
<sec>
<h3>Methods</h3>
<p>This research is an analytical observational study with a cross-sectional approach. The sampling technique was purposive sampling of 150 nursing students at a private university in Malang, Indonesia. Respondents filled out a questionnaire about self-identity, a sleep quality questionnaire from the Pittsburgh Sleep Quality Index (PSQI), and social media addiction from Social Media Addiction Scale (SMAS). This was a bivariate analysis which was conducted using the Pearson Product Moment Correlation test.</p>
</sec>
<sec>
<h3>Results</h3>
<p>The results of this study reported that most nursing students were addicted to social media (76%). As for the parameter of the quality variable, most respondents had poor sleep quality, which were about 106 people (70.3%). The result of the Pearson Product Moment Correlation test obtained a <italic>P</italic> value of 0.000. The Pearson correlation coefficient was 0.358. Social media addiction (adjusted odds ratio [OR] 4.80, 95% confidence interval [CI] = 2.08–11.02), gender (adjusted OR 3.79, 95% CI = 1.58–9.12), and using social media for a long time (adjusted OR 4.21, 95% CI = 1.97–10.48) were associated with sleep quality.</p>
</sec>
<sec>
<h3>Conclusions</h3>
<p>We found that there is an association between social media addiction and sleep quality among nursing students. Furthermore, we might be educating nursing students to manage their time to improve their quality of sleep to avoid any health problems.</p>
</sec>
</abstract>

Objectives
To examine the association between social media addiction and sleep quality among undergraduate nursing students.


Methods
This research is an analytical observational study with a cross-sectional approach. The sampling technique was purposive sampling of 150 nursing students at a private university in Malang, Indonesia. Respondents filled out a questionnaire about self-identity, a sleep quality questionnaire from the Pittsburgh Sleep Quality Index (PSQI), and social media addiction from Social Media Addiction Scale (SMAS). This was a bivariate analysis which was conducted using the Pearson Product Moment Correlation test.


Results
The results of this study reported that most nursing students were addicted to social media (76%). As for the parameter of the quality variable, most respondents had poor sleep quality, which were about 106 people (70.3%). The result of the Pearson Product Moment Correlation test obtained a P value of 0.000. The Pearson correlation coefficient was 0.358. Social media addiction (adjusted odds ratio [OR] 4.80, 95% confidence interval [CI] = 2.08–11.02), gender (adjusted OR 3.79, 95% CI = 1.58–9.12), and using social media for a long time (adjusted OR 4.21, 95% CI = 1.97–10.48) were associated with sleep quality.


Conclusions
We found that there is an association between social media addiction and sleep quality among nursing students. Furthermore, we might be educating nursing students to manage their time to improve their quality of sleep to avoid any health problems.

Association between social media addiction and sleep quality among undergraduate nursing students: a cross-sectional study

Frontiers of Nursing

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

Objectives
To examine the association between social media addiction and sleep quality among undergraduate nursing students.


Methods
This research is an...

Sleep quality	Social media addiction				Amount		P-value r
	Addicted		Not addicted
	n	%	N	%	n	%
Poor	91	79.8	15	41.7	106	70.7	0.000
Good	23	20.2	21	58.3	44	29.3	r = 0.358
Total	114	100	36	100	150	100

Items	F	%
Age (mean, SD)	20.97	2.54
Gender
Male	27	18
Female	123	82
Year of enrollment
2017	52	35
2018	49	33
2019	49	33
Most frequently accessed social media platform
Twitter	15	10
Facebook	30	20
Instagram	35	23
YouTube	26	17
WhatsApp	44	29
Using social media for a long time
≤3 years	32	21.3
>3 years	118	78.7
The amount of time spent on social media
≤3 h of social media use	46	30.7
>3 h of social media use	104	69.3
Categorization in the SMAS
Addicted	114	76
Not addicted	36	24
Quality of sleep
Good	44	29.3
Poor	106	70.3
Sleep efficiency (%)
>85	28	18.7
75–84	49	32.7
65–74	51	34
<65	22	14.7
Total sleep time (h)
>7	11	7.3
6–7	39	26
5–5.9	61	40.7
<5	39	26
Sleep latency (min)
14–30	39	26
31–60	61	40.7
>60	39	26

Variable	OR	(95% CI)	B	P-value	Nagelkerke R²
Social media addiction	4.80	(2.08–11.02)	4.70	0.006	0.31
Gender	3.79	(1.58–9.12)	3.62	0.001	0.31
Using social media for a long time	4.21	(1.97–10.48)	4.21	0.002
The amount of time spent on social media	1.12	(0.489–2.83)	1.17	0.718

Association between social media addiction and sleep quality among undergraduate nursing students: a cross-sectional study

Article Category: Original Article

Online veröffentlicht: 22. Juni 2023

Seitenbereich: 233 - 239

Eingereicht: 18. Nov. 2022

Akzeptiert: 31. Dez. 2022

DOI: https://doi.org/10.2478/fon-2023-0025

Schlüsselwörter
addiction, social media, sleep quality, nursing student, correlation

© 2023 Lilis Setyowati et al., published by Sciendo

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

Relationship between social media addiction and sleep quality.

Characteristics of respondents (n = 150).

Logistic regression analysis of factors related to sleep quality of nursing student.

Association between social media addiction and sleep quality among undergraduate nursing students: a cross-sectional study

Article Category: Original Article

Online veröffentlicht: 22. Juni 2023

Seitenbereich: 233 - 239

Eingereicht: 18. Nov. 2022

Akzeptiert: 31. Dez. 2022

DOI: https://doi.org/10.2478/fon-2023-0025

Schlüsselwörteraddiction, social media, sleep quality, nursing student, correlation

© 2023 Lilis Setyowati et al., published by Sciendo

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

Relationship between social media addiction and sleep quality.

Characteristics of respondents (n = 150).

Logistic regression analysis of factors related to sleep quality of nursing student.

Schlüsselwörter
addiction, social media, sleep quality, nursing student, correlation