PMID- 35308893
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220322
IS  - 1179-1608 (Print)
IS  - 1179-1608 (Electronic)
IS  - 1179-1608 (Linking)
VI  - 14
DP  - 2022
TI  - The Relationship Between Digital Activity and Bedtime, Sleep Duration, and Sleep 
      Quality in Chinese Working Youth.
PG  - 419-432
LID - 10.2147/NSS.S348929 [doi]
AB  - PURPOSE: The study aims to examine whether and how digital activities influence 
      sleep issues among working Chinese youth. METHODS: This study used data from the 
      China Family Panel Studies (CFPS) a Chinese population-based survey, and employed 
      the multilevel ordinal logistic regression model (MOLRM) to test the associations 
      between digital engagement (whether to engage in digital activity, frequency, and 
      duration) and sleep issues (bedtime, sleep duration, and quality) among Chinese 
      working youth. Additionally, the restricted cubic spline model (RCSM) was adopted 
      to fit the MOLRM to evaluate the nonlinear relationship between digital activity 
      duration and sleep quality, and thus determine the optimal range of digital 
      activity duration. RESULTS: The analysis included 7849 working young adults. The 
      digital usage rate was 84.11%. Digital use was not significantly associated with 
      average, workday, or free-day sleep duration, after controlling for all potential 
      confounders. However, most digital activity indicators could significantly 
      predict bedtime and sleep quality. Furthermore, the RCSM indicated a non-linear 
      relationship pattern between digital activity duration and sleep quality, with a 
      weekly peak point of 25 h. Age significantly moderated the relationship between 
      digital activity, sleep duration and bedtime. Younger youth who used digital 
      media more frequently and for a longer time tended to sleep later and had shorter 
      sleep duration than older youth. CONCLUSION: Digital usage significantly 
      predicted later bedtime among Chinese working youth; however, it was not linked 
      with sleep duration on workdays or free days. In parallel, a nonlinear 
      correlation between digital activity duration and sleep quality indicated that 
      appropriate digital activity duration (less than 25 h weekly) may contribute to 
      good sleep quality.
CI  - (c) 2022 Zhao and Wu.
FAU - Zhao, Lijuan
AU  - Zhao L
AD  - School of Sociology, Wuhan University, Wuhan, Hubei, People's Republic of China.
FAU - Wu, Lin
AU  - Wu L
AUID- ORCID: 0000-0002-8860-740X
AD  - School of Sociology, Wuhan University, Wuhan, Hubei, People's Republic of China.
LA  - eng
PT  - Journal Article
DEP - 20220314
PL  - New Zealand
TA  - Nat Sci Sleep
JT  - Nature and science of sleep
JID - 101537767
PMC - PMC8932931
OTO - NOTNLM
OT  - digital activity
OT  - sleep issues
OT  - time displacement
OT  - time shifting
OT  - working youth
COIS- The authors declare no conflicts of interest for this work.
EDAT- 2022/03/22 06:00
MHDA- 2022/03/22 06:01
PMCR- 2022/03/14
CRDT- 2022/03/21 08:45
PHST- 2021/11/16 00:00 [received]
PHST- 2022/03/06 00:00 [accepted]
PHST- 2022/03/21 08:45 [entrez]
PHST- 2022/03/22 06:00 [pubmed]
PHST- 2022/03/22 06:01 [medline]
PHST- 2022/03/14 00:00 [pmc-release]
AID - 348929 [pii]
AID - 10.2147/NSS.S348929 [doi]
PST - epublish
SO  - Nat Sci Sleep. 2022 Mar 14;14:419-432. doi: 10.2147/NSS.S348929. eCollection 
      2022.