Dose-response analysis of smartphone usage and self-reported sleep quality: a systematic review and meta-analysis of observational studies
Several studies have recently reported on the association between smartphone usage and self-reported sleep quality. However, no systematic review or meta-analysis has yet been performed. We aimed to analyze the association between smartphone usage time and self-reported sleep quality. We searched fo...
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| Veröffentlicht in: | Journal of clinical sleep medicine 2023-03, Vol.19 (3), p.621-630 |
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| container_title | Journal of clinical sleep medicine |
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| creator | Chu, Yoora Oh, Yeongbiehn Gwon, Minseong Hwang, Seokhyun Jeong, Hyeokjun Kim, Hyun-Woo Kim, Kihun Kim, Yun Hak |
| description | Several studies have recently reported on the association between smartphone usage and self-reported sleep quality. However, no systematic review or meta-analysis has yet been performed. We aimed to analyze the association between smartphone usage time and self-reported sleep quality.
We searched for articles published up to January 13, 2022, using the Embase and Medline databases. All observational studies were eligible for inclusion. The Newcastle-Ottawa scale was used to evaluate the risk of bias within studies. We used restricted cubic spline analysis to perform a dose-response analysis.
Seventeen studies with a total of 36,485 participants were included. The pooled odds ratio was 2.28 (confidence interval [CI]: 1.81-2.89;
< .001) and heterogeneity was 80%. In the dose-response analysis conducted on 5 studies, the regression coefficient between daily smartphone usage time (hours/day) and poor sleep quality was 1.042 (1.027-1.058), which confirmed a significantly positive association.
Smartphone overuse was closely associated with poor self-reported sleep quality, sleep deprivation, and sleep latency prolongation. Further studies using a more structured method and high-quality evidence (cohort or case-control) should be conducted.
CRD42022303371.
Chu Y, Oh Y, Gwon M, et al. Dose-response analysis of smartphone usage and self-reported sleep quality: a systematic review and meta-analysis of observational studies.
. 2023;19(3):621-630. |
| doi_str_mv | 10.5664/jcsm.10392 |
| format | Article |
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We searched for articles published up to January 13, 2022, using the Embase and Medline databases. All observational studies were eligible for inclusion. The Newcastle-Ottawa scale was used to evaluate the risk of bias within studies. We used restricted cubic spline analysis to perform a dose-response analysis.
Seventeen studies with a total of 36,485 participants were included. The pooled odds ratio was 2.28 (confidence interval [CI]: 1.81-2.89;
< .001) and heterogeneity was 80%. In the dose-response analysis conducted on 5 studies, the regression coefficient between daily smartphone usage time (hours/day) and poor sleep quality was 1.042 (1.027-1.058), which confirmed a significantly positive association.
Smartphone overuse was closely associated with poor self-reported sleep quality, sleep deprivation, and sleep latency prolongation. Further studies using a more structured method and high-quality evidence (cohort or case-control) should be conducted.
CRD42022303371.
Chu Y, Oh Y, Gwon M, et al. Dose-response analysis of smartphone usage and self-reported sleep quality: a systematic review and meta-analysis of observational studies.
. 2023;19(3):621-630.</description><identifier>ISSN: 1550-9389</identifier><identifier>EISSN: 1550-9397</identifier><identifier>DOI: 10.5664/jcsm.10392</identifier><identifier>PMID: 36546366</identifier><language>eng</language><publisher>United States: American Academy of Sleep Medicine</publisher><subject>Databases, Factual ; Humans ; Odds Ratio ; Review ; Self Report ; Sleep Quality ; Smartphone</subject><ispartof>Journal of clinical sleep medicine, 2023-03, Vol.19 (3), p.621-630</ispartof><rights>2023 American Academy of Sleep Medicine.</rights><rights>2023 American Academy of Sleep Medicine 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c342t-83caebd6a703d25a00f8761100a1c445487102cad04b9117f0aca3dd6d2817a43</citedby><cites>FETCH-LOGICAL-c342t-83caebd6a703d25a00f8761100a1c445487102cad04b9117f0aca3dd6d2817a43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9978438/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9978438/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36546366$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chu, Yoora</creatorcontrib><creatorcontrib>Oh, Yeongbiehn</creatorcontrib><creatorcontrib>Gwon, Minseong</creatorcontrib><creatorcontrib>Hwang, Seokhyun</creatorcontrib><creatorcontrib>Jeong, Hyeokjun</creatorcontrib><creatorcontrib>Kim, Hyun-Woo</creatorcontrib><creatorcontrib>Kim, Kihun</creatorcontrib><creatorcontrib>Kim, Yun Hak</creatorcontrib><title>Dose-response analysis of smartphone usage and self-reported sleep quality: a systematic review and meta-analysis of observational studies</title><title>Journal of clinical sleep medicine</title><addtitle>J Clin Sleep Med</addtitle><description>Several studies have recently reported on the association between smartphone usage and self-reported sleep quality. However, no systematic review or meta-analysis has yet been performed. We aimed to analyze the association between smartphone usage time and self-reported sleep quality.
We searched for articles published up to January 13, 2022, using the Embase and Medline databases. All observational studies were eligible for inclusion. The Newcastle-Ottawa scale was used to evaluate the risk of bias within studies. We used restricted cubic spline analysis to perform a dose-response analysis.
Seventeen studies with a total of 36,485 participants were included. The pooled odds ratio was 2.28 (confidence interval [CI]: 1.81-2.89;
< .001) and heterogeneity was 80%. In the dose-response analysis conducted on 5 studies, the regression coefficient between daily smartphone usage time (hours/day) and poor sleep quality was 1.042 (1.027-1.058), which confirmed a significantly positive association.
Smartphone overuse was closely associated with poor self-reported sleep quality, sleep deprivation, and sleep latency prolongation. Further studies using a more structured method and high-quality evidence (cohort or case-control) should be conducted.
CRD42022303371.
Chu Y, Oh Y, Gwon M, et al. Dose-response analysis of smartphone usage and self-reported sleep quality: a systematic review and meta-analysis of observational studies.
. 2023;19(3):621-630.</description><subject>Databases, Factual</subject><subject>Humans</subject><subject>Odds Ratio</subject><subject>Review</subject><subject>Self Report</subject><subject>Sleep Quality</subject><subject>Smartphone</subject><issn>1550-9389</issn><issn>1550-9397</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVkctu1TAQhiMEohfY8ADIS4SUYse3hAVSVcpFqsQG1tYce9K6SuLU4xx0XoGnJqctR2Xl8cw3_8zor6o3gp9pY9SHW0_jmeCya55Vx0JrXneys88PcdsdVSdEt5yrRlv9sjqSRisjjTmu_nxOhHVGmtNEyGCCYUeRWOoZjZDLfJMmZAvB9b4YGOHQr_iccsH1NyDO7G6BIZbdRwaMdlRwhBI9y7iN-Pu-acQC9VPptCHM2xVLa5JRWUJEelW96GEgfP34nla_vlz-vPhWX_34-v3i_Kr2UjWlbqUH3AQDlsvQaOC8b60RgnMQXimtWit44yFwtemEsD0HDzIEE5pWWFDytPr0oDsvmxGDx6lkGNyc43rwziWI7v_KFG_cddq6rrOtku0q8O5RIKe7Bam4MZLHYYAJ00KusdpyrW1jVvT9A-pzIsrYH8YI7vbmub157t68FX77dLED-s8t-RdTipoz</recordid><startdate>20230301</startdate><enddate>20230301</enddate><creator>Chu, Yoora</creator><creator>Oh, Yeongbiehn</creator><creator>Gwon, Minseong</creator><creator>Hwang, Seokhyun</creator><creator>Jeong, Hyeokjun</creator><creator>Kim, Hyun-Woo</creator><creator>Kim, Kihun</creator><creator>Kim, Yun Hak</creator><general>American Academy of Sleep Medicine</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20230301</creationdate><title>Dose-response analysis of smartphone usage and self-reported sleep quality: a systematic review and meta-analysis of observational studies</title><author>Chu, Yoora ; Oh, Yeongbiehn ; Gwon, Minseong ; Hwang, Seokhyun ; Jeong, Hyeokjun ; Kim, Hyun-Woo ; Kim, Kihun ; Kim, Yun Hak</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c342t-83caebd6a703d25a00f8761100a1c445487102cad04b9117f0aca3dd6d2817a43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Databases, Factual</topic><topic>Humans</topic><topic>Odds Ratio</topic><topic>Review</topic><topic>Self Report</topic><topic>Sleep Quality</topic><topic>Smartphone</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chu, Yoora</creatorcontrib><creatorcontrib>Oh, Yeongbiehn</creatorcontrib><creatorcontrib>Gwon, Minseong</creatorcontrib><creatorcontrib>Hwang, Seokhyun</creatorcontrib><creatorcontrib>Jeong, Hyeokjun</creatorcontrib><creatorcontrib>Kim, Hyun-Woo</creatorcontrib><creatorcontrib>Kim, Kihun</creatorcontrib><creatorcontrib>Kim, Yun Hak</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of clinical sleep medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chu, Yoora</au><au>Oh, Yeongbiehn</au><au>Gwon, Minseong</au><au>Hwang, Seokhyun</au><au>Jeong, Hyeokjun</au><au>Kim, Hyun-Woo</au><au>Kim, Kihun</au><au>Kim, Yun Hak</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dose-response analysis of smartphone usage and self-reported sleep quality: a systematic review and meta-analysis of observational studies</atitle><jtitle>Journal of clinical sleep medicine</jtitle><addtitle>J Clin Sleep Med</addtitle><date>2023-03-01</date><risdate>2023</risdate><volume>19</volume><issue>3</issue><spage>621</spage><epage>630</epage><pages>621-630</pages><issn>1550-9389</issn><eissn>1550-9397</eissn><abstract>Several studies have recently reported on the association between smartphone usage and self-reported sleep quality. However, no systematic review or meta-analysis has yet been performed. We aimed to analyze the association between smartphone usage time and self-reported sleep quality.
We searched for articles published up to January 13, 2022, using the Embase and Medline databases. All observational studies were eligible for inclusion. The Newcastle-Ottawa scale was used to evaluate the risk of bias within studies. We used restricted cubic spline analysis to perform a dose-response analysis.
Seventeen studies with a total of 36,485 participants were included. The pooled odds ratio was 2.28 (confidence interval [CI]: 1.81-2.89;
< .001) and heterogeneity was 80%. In the dose-response analysis conducted on 5 studies, the regression coefficient between daily smartphone usage time (hours/day) and poor sleep quality was 1.042 (1.027-1.058), which confirmed a significantly positive association.
Smartphone overuse was closely associated with poor self-reported sleep quality, sleep deprivation, and sleep latency prolongation. Further studies using a more structured method and high-quality evidence (cohort or case-control) should be conducted.
CRD42022303371.
Chu Y, Oh Y, Gwon M, et al. Dose-response analysis of smartphone usage and self-reported sleep quality: a systematic review and meta-analysis of observational studies.
. 2023;19(3):621-630.</abstract><cop>United States</cop><pub>American Academy of Sleep Medicine</pub><pmid>36546366</pmid><doi>10.5664/jcsm.10392</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Journal of clinical sleep medicine, 2023-03, Vol.19 (3), p.621-630 |
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| source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Alma/SFX Local Collection |
| subjects | Databases, Factual Humans Odds Ratio Review Self Report Sleep Quality Smartphone |
| title | Dose-response analysis of smartphone usage and self-reported sleep quality: a systematic review and meta-analysis of observational studies |
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