Introduction:Sleep is fundamental to health,yet comprehensive data characterizing sleep patterns across China’s diverse population remain scarce.This national study systematically assessed sleep behaviors among Chine...Introduction:Sleep is fundamental to health,yet comprehensive data characterizing sleep patterns across China’s diverse population remain scarce.This national study systematically assessed sleep behaviors among Chinese residents aged 15 years and above.Methods:A population-based cross-sectional survey was conducted in 2024 among individuals aged 15 years and older,using multistage stratified cluster random sampling.Trained investigators collected data on sleep duration,sleep latency,bedtime,and wake-up time through standardized questionnaires.Statistical analyses incorporated sampling weights to ensure population representativeness,and stratified analyses examined sleep patterns across a range of demographic subgroups.Results:The population-weighted mean sleep duration among Chinese residents aged 15 years and older was 7.24[95%confidence interval(CI):7.16,7.32]hours in 2024.Mean bedtime and wake-up time were 22:08(21:58,22:18)and 6:18(6:06,6:30),respectively,with a mean sleep latency of 27.45(26.39,28.51)minutes.Age-stratified analyses revealed notable sex differences in sleep duration:among adults aged 18-44 years,females slept longer than males[7.66(7.59,7.73)hours versus 7.49(7.41,7.57)hours],whereas among those aged 45-64 years,females slept less[6.82(6.72,6.92)hours versus 6.97(6.90,7.04)hours].Rural adolescents slept longer than their urban counterparts[8.39(8.14,8.64)hours versus 8.00(7.78,8.22)hours].Both education level and occupation further influenced sleep duration and timing.Conclusion:Sleep patterns among Chinese residents vary substantially by age,sex,and socio-environmental context.Effective sleep health strategies must be population-specific and tailored,rather than relying on uniform recommendations.Public health interventions should explicitly address the distinct socioeconomic and environmental determinants that shape sleep in different population segments,thereby optimizing sleep outcomes across diverse settings.展开更多
基金Supported by the Chinese Sleep Research Society and the General Program of the National Natural Science Foundation of China(Grant No.81872721).
文摘Introduction:Sleep is fundamental to health,yet comprehensive data characterizing sleep patterns across China’s diverse population remain scarce.This national study systematically assessed sleep behaviors among Chinese residents aged 15 years and above.Methods:A population-based cross-sectional survey was conducted in 2024 among individuals aged 15 years and older,using multistage stratified cluster random sampling.Trained investigators collected data on sleep duration,sleep latency,bedtime,and wake-up time through standardized questionnaires.Statistical analyses incorporated sampling weights to ensure population representativeness,and stratified analyses examined sleep patterns across a range of demographic subgroups.Results:The population-weighted mean sleep duration among Chinese residents aged 15 years and older was 7.24[95%confidence interval(CI):7.16,7.32]hours in 2024.Mean bedtime and wake-up time were 22:08(21:58,22:18)and 6:18(6:06,6:30),respectively,with a mean sleep latency of 27.45(26.39,28.51)minutes.Age-stratified analyses revealed notable sex differences in sleep duration:among adults aged 18-44 years,females slept longer than males[7.66(7.59,7.73)hours versus 7.49(7.41,7.57)hours],whereas among those aged 45-64 years,females slept less[6.82(6.72,6.92)hours versus 6.97(6.90,7.04)hours].Rural adolescents slept longer than their urban counterparts[8.39(8.14,8.64)hours versus 8.00(7.78,8.22)hours].Both education level and occupation further influenced sleep duration and timing.Conclusion:Sleep patterns among Chinese residents vary substantially by age,sex,and socio-environmental context.Effective sleep health strategies must be population-specific and tailored,rather than relying on uniform recommendations.Public health interventions should explicitly address the distinct socioeconomic and environmental determinants that shape sleep in different population segments,thereby optimizing sleep outcomes across diverse settings.
