Association between media use and poor sleep quality among senior high school students: a cross-sectional study Article Swipe
Wisit Chaveepojnkamjorn
,
Jutiporn Srikaew
,
Pratana Satitvipawee
,
Supachai Pitikultang
,
Soontaree Khampeng
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.12688/f1000research.54818.1
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.12688/f1000research.54818.1
Background: Poor sleep quality (PSQ) is an increasing health problem among adolescents. Mobile phones and portable media devices have become a part of children’s lives and may affect their sleep duration and quality. This study aimed to explore the prevalence of PSQ and identify the association between media use and PSQ among adolescents studying in high school grades 10-12. Methods: This cross-sectional study was conducted in central Thailand. A multi-stage sampling technique was used to enroll 777 adolescents from eight schools from August to October 2016. The research instruments comprised factors of demographics and consumption behaviors and the Pittsburgh Sleep Quality Index questionnaire. Multivariable logistic regression was used to calculate adjusted odds ratios (ORadj) and 95% confidence intervals (CI). Results: Prevalence of PSQ was 56.24%. The study subjects were mostly 16-17 years old (67.82%) and female (70.39%). Multivariable logistic regression, after controlling for possible confounders, revealed an increased odds of PSQ among those who used a social media device (OR=1.34, 95%CI=0.97-1.87), and showed a higher proportion of social media use in the PSQ group. Conclusion: A surveillance system to detect media use and PSQ should be conducted accompanied by knowledge sharing on media use among parents, teachers and adolescents. To determine causal relationships, further longitudinal studies will be required to test the association between media users and PSQ. This study may also provide some implications for health promotion on sleep quality of senior high school students.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.12688/f1000research.54818.1
- https://f1000research.com/articles/10-1116/v1/pdf
- OA Status
- gold
- Cited By
- 6
- References
- 31
- Related Works
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W3212703291Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.12688/f1000research.54818.1Digital Object Identifier
- Title
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Association between media use and poor sleep quality among senior high school students: a cross-sectional studyWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
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2021-11-05Full publication date if available
- Authors
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Wisit Chaveepojnkamjorn, Jutiporn Srikaew, Pratana Satitvipawee, Supachai Pitikultang, Soontaree KhampengList of authors in order
- Landing page
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https://doi.org/10.12688/f1000research.54818.1Publisher landing page
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https://f1000research.com/articles/10-1116/v1/pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://f1000research.com/articles/10-1116/v1/pdfDirect OA link when available
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Logistic regression, Demography, Medicine, Internal medicine, SociologyTop concepts (fields/topics) attached by OpenAlex
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6Total citation count in OpenAlex
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2025: 2, 2024: 2, 2023: 1, 2021: 1Per-year citation counts (last 5 years)
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31Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.some | 223 |
| abstract_inverted_index.test | 210 |
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| abstract_inverted_index.were | 128 |
| abstract_inverted_index.will | 206 |
| abstract_inverted_index.(PSQ) | 4 |
| abstract_inverted_index.16-17 | 130 |
| abstract_inverted_index.2016. | 85 |
| abstract_inverted_index.Index | 101 |
| abstract_inverted_index.Sleep | 99 |
| abstract_inverted_index.after | 140 |
| abstract_inverted_index.among | 10, 51, 151, 194 |
| abstract_inverted_index.eight | 79 |
| abstract_inverted_index.lives | 24 |
| abstract_inverted_index.media | 16, 47, 157, 168, 180, 192, 214 |
| abstract_inverted_index.sleep | 2, 29, 229 |
| abstract_inverted_index.study | 34, 62, 126, 219 |
| abstract_inverted_index.their | 28 |
| abstract_inverted_index.those | 152 |
| abstract_inverted_index.users | 215 |
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| abstract_inverted_index.August | 82 |
| abstract_inverted_index.Mobile | 12 |
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| abstract_inverted_index.become | 19 |
| abstract_inverted_index.causal | 201 |
| abstract_inverted_index.detect | 179 |
| abstract_inverted_index.device | 158 |
| abstract_inverted_index.enroll | 75 |
| abstract_inverted_index.female | 135 |
| abstract_inverted_index.grades | 57 |
| abstract_inverted_index.health | 8, 226 |
| abstract_inverted_index.higher | 164 |
| abstract_inverted_index.mostly | 129 |
| abstract_inverted_index.phones | 13 |
| abstract_inverted_index.ratios | 112 |
| abstract_inverted_index.school | 56, 234 |
| abstract_inverted_index.senior | 232 |
| abstract_inverted_index.should | 184 |
| abstract_inverted_index.showed | 162 |
| abstract_inverted_index.social | 156, 167 |
| abstract_inverted_index.system | 177 |
| abstract_inverted_index.56.24%. | 124 |
| abstract_inverted_index.October | 84 |
| abstract_inverted_index.Quality | 100 |
| abstract_inverted_index.between | 46, 213 |
| abstract_inverted_index.central | 66 |
| abstract_inverted_index.devices | 17 |
| abstract_inverted_index.explore | 37 |
| abstract_inverted_index.factors | 90 |
| abstract_inverted_index.further | 203 |
| abstract_inverted_index.problem | 9 |
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| abstract_inverted_index.quality | 3, 230 |
| abstract_inverted_index.schools | 80 |
| abstract_inverted_index.sharing | 190 |
| abstract_inverted_index.studies | 205 |
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| abstract_inverted_index.duration | 30 |
| abstract_inverted_index.identify | 43 |
| abstract_inverted_index.logistic | 104, 138 |
| abstract_inverted_index.parents, | 195 |
| abstract_inverted_index.portable | 15 |
| abstract_inverted_index.possible | 143 |
| abstract_inverted_index.required | 208 |
| abstract_inverted_index.research | 87 |
| abstract_inverted_index.revealed | 145 |
| abstract_inverted_index.sampling | 70 |
| abstract_inverted_index.studying | 53 |
| abstract_inverted_index.subjects | 127 |
| abstract_inverted_index.teachers | 196 |
| abstract_inverted_index.(70.39%). | 136 |
| abstract_inverted_index.(OR=1.34, | 159 |
| abstract_inverted_index.Thailand. | 67 |
| abstract_inverted_index.behaviors | 95 |
| abstract_inverted_index.calculate | 109 |
| abstract_inverted_index.comprised | 89 |
| abstract_inverted_index.conducted | 64, 186 |
| abstract_inverted_index.determine | 200 |
| abstract_inverted_index.increased | 147 |
| abstract_inverted_index.intervals | 117 |
| abstract_inverted_index.knowledge | 189 |
| abstract_inverted_index.promotion | 227 |
| abstract_inverted_index.technique | 71 |
| abstract_inverted_index.Pittsburgh | 98 |
| abstract_inverted_index.Prevalence | 120 |
| abstract_inverted_index.confidence | 116 |
| abstract_inverted_index.increasing | 7 |
| abstract_inverted_index.prevalence | 39 |
| abstract_inverted_index.proportion | 165 |
| abstract_inverted_index.regression | 105 |
| abstract_inverted_index.accompanied | 187 |
| abstract_inverted_index.adolescents | 52, 77 |
| abstract_inverted_index.association | 45, 212 |
| abstract_inverted_index.consumption | 94 |
| abstract_inverted_index.controlling | 141 |
| abstract_inverted_index.instruments | 88 |
| abstract_inverted_index.multi-stage | 69 |
| abstract_inverted_index.regression, | 139 |
| abstract_inverted_index.adolescents. | 11, 198 |
| abstract_inverted_index.children’s | 23 |
| abstract_inverted_index.confounders, | 144 |
| abstract_inverted_index.demographics | 92 |
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| abstract_inverted_index.longitudinal | 204 |
| abstract_inverted_index.surveillance | 176 |
| abstract_inverted_index.</ns4:bold>to | 36 |
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| abstract_inverted_index.questionnaire. | 102 |
| abstract_inverted_index.relationships, | 202 |
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| abstract_inverted_index.aimed<ns4:bold> | 35 |
| abstract_inverted_index.cross-sectional | 61 |
| abstract_inverted_index.95%CI=0.97-1.87), | 160 |
| abstract_inverted_index.students.</ns4:p> | 235 |
| abstract_inverted_index.quality.<ns4:bold> | 32 |
| abstract_inverted_index.(CI).</ns4:p><ns4:p> | 118 |
| abstract_inverted_index.10-12.</ns4:p><ns4:p> | 58 |
| abstract_inverted_index.group.</ns4:p><ns4:p> | 173 |
| abstract_inverted_index.(OR<ns4:sub>adj</ns4:sub>) | 113 |
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| abstract_inverted_index.<ns4:bold>Results:</ns4:bold> | 119 |
| abstract_inverted_index.<ns4:bold>Conclusion:</ns4:bold> | 174 |
| abstract_inverted_index.<ns4:p><ns4:bold>Background<ns4:italic>:</ns4:italic></ns4:bold> | 0 |
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| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/1 |
| sustainable_development_goals[0].score | 0.5 |
| sustainable_development_goals[0].display_name | No poverty |
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| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |