Related Experiment Video
Updated: Jan 27, 2026

Noninvasive, High-throughput Determination of Sleep Duration in Rodents
Published on: April 18, 2018
The Increasing Trends of Short and Long Sleep Duration among Chinese Adults from 2010 to 2018: A Repeated Nationally
Yun Chen1, Lan Wang2, Mei Zhang3
1Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China.
Objective:
This study aimed to determine the temporal trends in sleep duration among Chinese adults.
Methods:
In this series of repeated nationally representative cross-sectional surveys (China Chronic Disease and Risk Factors Surveillance) conducted between 2010 and 2018, a total of 645,420 adult participants (97,741 in 2010; 175,749 in 2013; 187,777 in 2015; and 184,153 in 2018) were included in the trend analysis. Linear and logistic regression models were utilized to assess trends in sleep duration.
Results:
In 2018, the estimated overall mean sleep duration among the Chinese adult population was 7.58 (SD, 1.45) hours per day, with no significant trend from 2010. A significant increase in short sleep duration (≤ 6 hours) was observed in the total population, from 15.3% (95% CI: 14.1%-16.5%) in 2010 to 18.5% (95% CI: 17.7%-19.3%) in 2018 ( P < 0.001). Similarly, the trend in long sleep duration (> 9 hours) was also significant, increasing in weighted prevalence from 7.2% (95% CI: 6.3%-8.1%) in 2010 to 9.0% (95% CI: 8.2%-9.9%) in 2018 ( P < 0.001).
Conclusion:
The prevalence of both short and long sleep durations significantly increased among Chinese adults from 2010 to 2018, highlighting the urgency of health initiatives to promote optimal sleep duration in China.
Related Concept Videos
Cross-Sectional Research
Surveys
Profile Leveling and Cross Sections
Spinal Cord: Cross-sectional Anatomy
Gray Matter and its Components
Central to the gray matter is...
The Representativeness Heuristic
National Nursing Organizations I

