Association between the pattern of mobile phone use and sleep quality in Northeast China college students
← Research streamIn 4234 college students, PSQI scores differed between those holding the phone >10 cm vs <10 cm from the eyes (P=0.002). Poor sleep quality risk was 1.21–1.53 times higher among students using phones >5 h/day and 1.41–1.59 times higher among those using phone…
Study snapshot
Abstract
Association between the pattern of mobile phone use and sleep quality in Northeast China college students Jia Meng, Fang Wang, Rentong Chen, Hui Hua, Qian Yang, Dan Yang, Nan Wang, Xin Li, Fangfang Ma, Liting Huang, Zhenzhen Zou, Menglin Li, Tieting Wang, Yannan Luo, Yunda Li, Yang Liu. Association between the pattern of mobile phone use and sleep quality in Northeast China college students. Sleep Breath. 2021 Feb 2. doi: 10.1007/s11325-021-02295-2. Abstract Objectives: Currently, mobile penetration is high amongst college students. The aims of this study were to investigate the characteristics of mobile phone use and to explore the influence of mobile phone use characteristics on sleep quality amongst college students. Methods: From December 2016 to January 2017, we collected mobile phone use characteristics and sleep quality data using the Pittsburgh Sleep Quality Index (PSQI) and standardised questionnaires that were answered by 4500 medical university students in Liaoning Province (actual response rate of 94%, n = 4234 college students). This study used the SPSS 21.0 software to establish the database and perform the statistical analysis. Results: One hundred percent of the college students had mobile phones and used mobile phones for entertainment (91%), work (51%), obtaining information (61%), and other purposes (23%). Additionally, there was a statistically significant difference in the PSQI score between students who held the phone at a distance of more than 10 cm from their eyes and those who held it a distance of less than 10 cm (P = 0.002). Multiple logistic regression analysis showed that the risk of poor sleep quality was 1.21-1.53 times higher for those who spent more than 5 h a day using their phones and 1.41-1.59 times higher for those who used their phones for more than half an hour before going to bed when the lights were off. Conclusions: Daily cumulative mobile phone use and use with the lights off before sleep are associated with poorer sleep quality. pubmed.ncbi.nlm.nih.gov
AI evidence extraction
Structured fields below were generated from the paper’s abstract and metadata to make the evidence easier to inspect. Automated extraction may be incomplete or incorrect; verify important details against the original paper.
Main findings
In 4234 college students, PSQI scores differed between those holding the phone >10 cm vs <10 cm from the eyes (P=0.002). Poor sleep quality risk was 1.21–1.53 times higher among students using phones >5 h/day and 1.41–1.59 times higher among those using phones >0.5 h before bed with lights off.
Outcomes measured
- Sleep quality (Pittsburgh Sleep Quality Index, PSQI)
- Poor sleep quality (logistic regression outcome)
View raw extracted JSON
{
"study_type": "cross_sectional",
"exposure": {
"band": null,
"source": "mobile phone",
"frequency_mhz": null,
"sar_wkg": null,
"duration": "daily cumulative use (>5 h/day) and use >0.5 h before bed with lights off"
},
"population": "Medical university (college) students in Liaoning Province, Northeast China",
"sample_size": 4234,
"outcomes": [
"Sleep quality (Pittsburgh Sleep Quality Index, PSQI)",
"Poor sleep quality (logistic regression outcome)"
],
"main_findings": "In 4234 college students, PSQI scores differed between those holding the phone >10 cm vs <10 cm from the eyes (P=0.002). Poor sleep quality risk was 1.21–1.53 times higher among students using phones >5 h/day and 1.41–1.59 times higher among those using phones >0.5 h before bed with lights off.",
"effect_direction": "harm",
"limitations": [],
"evidence_strength": "low",
"confidence": 0.78,
"peer_reviewed_likely": "yes",
"keywords": [
"mobile phone use",
"sleep quality",
"PSQI",
"college students",
"screen use before bed",
"lights off",
"China",
"cross-sectional",
"logistic regression"
],
"suggested_hubs": []
}AI-extracted fields are generated from the abstract and metadata and may be incomplete or incorrect. This material is for informational purposes and is not medical advice.
Identifiers and source
DOI: 10.1007/s11325-021-02295-2
PubMed: 33532989
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