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Sleep, social media use and mental health in female adolescents aged 12 to 18 years old during the COVID-19 pandemic
BACKGROUND: Adolescents with high social media (SM) use experienced poor sleep quality and high anxiety and depression levels. The study aimed to investigate the characteristics of sleep, use of SM, mental health in female aged 12 to 18 years old, and to assess the association between poor sleep, SM...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10424329/ https://www.ncbi.nlm.nih.gov/pubmed/37580671 http://dx.doi.org/10.1186/s12887-023-04218-4 |
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author | Chalermchutidej, Wikanda Manaboriboon, Boonying Sanpawitayakul, Gornmigar Theppiban, Supparat In-iw, Supinya |
author_facet | Chalermchutidej, Wikanda Manaboriboon, Boonying Sanpawitayakul, Gornmigar Theppiban, Supparat In-iw, Supinya |
author_sort | Chalermchutidej, Wikanda |
collection | PubMed |
description | BACKGROUND: Adolescents with high social media (SM) use experienced poor sleep quality and high anxiety and depression levels. The study aimed to investigate the characteristics of sleep, use of SM, mental health in female aged 12 to 18 years old, and to assess the association between poor sleep, SM usage, and mental health. METHODS: In total, 219 Thai female adolescents were recruited between December 2019 and September 2020 and completed self-administrative questionnaires three periods of time (baseline, 3 months and 6 months later). The questionnaires included: the Pittsburgh Sleep Quality Index (PSQI), depression screening (PHQ-9), Screen for Child Anxiety Related Emotional Disorders (SCARED). Demographic and use of social media data were also included. Cochran’s Q test, correlation coefficient, and binary logistic regression were performed. RESULTS: Participants’ mean age was 14.52 (range 12–17) years. Average Thai-PSQI global scores did not differ during 3 periods (p = 0.13) but average time of sleep latency, sleep duration, and SM usage were significant different (p = 0.002, p = 0.001, and p = < 0.001, respectively). There were positive correlations between PSQI scores and total SM usage at baseline (r = 0.14; P < 0.05) and 6 months (r = 0.20; P < 0.05). Anxiety, depression, and self-perception of poor sleep were significantly related to poor sleep quality during the 3 periods. After adjusting for confounding factors, depression and self-reported poor sleep were the only significant factors predicting poor sleep quality. CONCLUSIONS: Poor sleep was associated with SM usage, depression, and anxiety in this population. Time-limited SM usage should be implemented for Thai female adolescents to improve sleep-related outcomes. |
format | Online Article Text |
id | pubmed-10424329 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104243292023-08-15 Sleep, social media use and mental health in female adolescents aged 12 to 18 years old during the COVID-19 pandemic Chalermchutidej, Wikanda Manaboriboon, Boonying Sanpawitayakul, Gornmigar Theppiban, Supparat In-iw, Supinya BMC Pediatr Research BACKGROUND: Adolescents with high social media (SM) use experienced poor sleep quality and high anxiety and depression levels. The study aimed to investigate the characteristics of sleep, use of SM, mental health in female aged 12 to 18 years old, and to assess the association between poor sleep, SM usage, and mental health. METHODS: In total, 219 Thai female adolescents were recruited between December 2019 and September 2020 and completed self-administrative questionnaires three periods of time (baseline, 3 months and 6 months later). The questionnaires included: the Pittsburgh Sleep Quality Index (PSQI), depression screening (PHQ-9), Screen for Child Anxiety Related Emotional Disorders (SCARED). Demographic and use of social media data were also included. Cochran’s Q test, correlation coefficient, and binary logistic regression were performed. RESULTS: Participants’ mean age was 14.52 (range 12–17) years. Average Thai-PSQI global scores did not differ during 3 periods (p = 0.13) but average time of sleep latency, sleep duration, and SM usage were significant different (p = 0.002, p = 0.001, and p = < 0.001, respectively). There were positive correlations between PSQI scores and total SM usage at baseline (r = 0.14; P < 0.05) and 6 months (r = 0.20; P < 0.05). Anxiety, depression, and self-perception of poor sleep were significantly related to poor sleep quality during the 3 periods. After adjusting for confounding factors, depression and self-reported poor sleep were the only significant factors predicting poor sleep quality. CONCLUSIONS: Poor sleep was associated with SM usage, depression, and anxiety in this population. Time-limited SM usage should be implemented for Thai female adolescents to improve sleep-related outcomes. BioMed Central 2023-08-14 /pmc/articles/PMC10424329/ /pubmed/37580671 http://dx.doi.org/10.1186/s12887-023-04218-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Chalermchutidej, Wikanda Manaboriboon, Boonying Sanpawitayakul, Gornmigar Theppiban, Supparat In-iw, Supinya Sleep, social media use and mental health in female adolescents aged 12 to 18 years old during the COVID-19 pandemic |
title | Sleep, social media use and mental health in female adolescents aged 12 to 18 years old during the COVID-19 pandemic |
title_full | Sleep, social media use and mental health in female adolescents aged 12 to 18 years old during the COVID-19 pandemic |
title_fullStr | Sleep, social media use and mental health in female adolescents aged 12 to 18 years old during the COVID-19 pandemic |
title_full_unstemmed | Sleep, social media use and mental health in female adolescents aged 12 to 18 years old during the COVID-19 pandemic |
title_short | Sleep, social media use and mental health in female adolescents aged 12 to 18 years old during the COVID-19 pandemic |
title_sort | sleep, social media use and mental health in female adolescents aged 12 to 18 years old during the covid-19 pandemic |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10424329/ https://www.ncbi.nlm.nih.gov/pubmed/37580671 http://dx.doi.org/10.1186/s12887-023-04218-4 |
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