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Prevalence status and influencing factors of sleep rhythm problems among community residents aged ≥15 in seven provinces (municipality) of China: a cross-sectional study in 2024
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Xin GAO1, 2, Yingchen SANG1, Xinying ZENG1, Youjiao WANG1, Ying LIU1, Chi ZHANG3, Zhiping PENG4, Shiwei LIU1
Chinese Journal of Public Health | 2026, 42(5) : 524 - 529
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Chinese Journal of Public Health | 2026, 42(5): 524-529
• Special Report—Sleep Health and Wellness •
Prevalence status and influencing factors of sleep rhythm problems among community residents aged ≥15 in seven provinces (municipality) of China: a cross-sectional study in 2024
Full
Xin GAO1, 2, Yingchen SANG1, Xinying ZENG1, Youjiao WANG1, Ying LIU1, Chi ZHANG3, Zhiping PENG4, Shiwei LIU1
Affiliations
  • 1Tobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing 100050, China
  • 2Office of Chronic Disease and Ageing Health Management, Chinese Center for Disease Control and Prevention, Beijing 102206, China
  • 3Beijing Hospital, National Center for Gerontology, Beijing 100730, China
  • 4Smart Sleep Center, NO 984 Hospital of the PLA, Beijing 100094, China
Published: 2026-05-10 doi: 10.11847/zgggws1149350
Outline
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Objective

To understand the prevalence status and influencing factors of sleep rhythm problems among community residents aged ≥15 in 7 provinces (municipality) of China, thus providing a scientific basis for formulating intervention measures for sleep rhythm problems.

Methods

From March to October 2024, a multi-stage stratified cluster random sampling method was used to survey 50 400 community residents aged ≥15 in seven provinces (municipality), including Hebei, Liaoning, Jiangsu, Henan, Guangdong, Chongqing, and Shaanxi. The prevalence status and influencing factors of delayed sleep phase problem (DSPP) and advanced sleep phase problem (ASPP) were analyzed.

Results

Among the 46 193 community residents included in the analysis, 172 and 8 354 were detected with DSPP and ASPP, respectively, with weighted detection rates of 1.07% and 11.90%. The results of the multivariate unconditional logistic regression analysis showed that students or had current smoking, drinking, frequent use of electronic products before bedtime, and frequently eating late-night snacks were associated with a higher risk of DSPP, while those aged ≥40 had a lower risk of DSPP. Age ≥ 40, living in rural areas, drinking, and having chronic diseases were associated with a higher risk of ASPP, while the educational background of junior high school or above, office workers, students, other occupations, engaging in physical activity 3 to 4 times a week, and frequently eating late-night snacks were associated with a lower risk of ASPP.

Conclusions

The detection rate of sleep rhythm problems among community residents aged ≥15 in 7 provinces (municipality) of China is relatively high, with age, educational background, occupation, drinking habits, and whether frequently eating late-night snacks being common influencing factors for the detection of DSPP and ASPP.

sleep rhythm  /  delayed sleep phase problem (DSPP)  /  advanced sleep phase problem (ASPP)  /  prevalence status  /  influencing factors  /  community residents  /  China
高欣, 桑莹宸, 曾新颖, 王友娇, 刘影, 张驰, 彭志平, 刘世炜. 中国7个省(直辖市)≥15岁社区居民睡眠节律问题检出情况及其影响因素:一项2024年横断面调查. 中国公共卫生, 2026 , 42 (5) : 524 -529 . DOI: 10.11847/zgggws1149350
Xin GAO, Yingchen SANG, Xinying ZENG, Youjiao WANG, Ying LIU, Chi ZHANG, Zhiping PENG, Shiwei LIU. Prevalence status and influencing factors of sleep rhythm problems among community residents aged ≥15 in seven provinces (municipality) of China: a cross-sectional study in 2024[J]. Chinese Journal of Public Health, 2026 , 42 (5) : 524 -529 . DOI: 10.11847/zgggws1149350
Year 2026 volume 42 Issue 5
76
27
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Article Info
doi: 10.11847/zgggws1149350
  • Receive Date:2025-11-18
  • Online Date:2026-10-23
  • Published:2026-05-10
Article Data
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History
  • Received:2025-11-18
  • Revised:2026-02-03
  • Accepted:2026-03-18
Affiliations
    1Tobacco Control Office, Chinese Center for Disease Control and Prevention, Beijing 100050, China
    2Office of Chronic Disease and Ageing Health Management, Chinese Center for Disease Control and Prevention, Beijing 102206, China
    3Beijing Hospital, National Center for Gerontology, Beijing 100730, China
    4Smart Sleep Center, NO 984 Hospital of the PLA, Beijing 100094, China

Corresponding:

PENG Zhiping, E-mail:
LIU Shiwei, E-mail:
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表12种不同金属材料的力学参数
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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