基于智能无感睡眠监测系统的康养人群睡眠健康研究

马倩; 张萍淑; 王连辉; 薛晶; 欧亚; 元小冬

doi:10.16766/j.cnki.issn.1674-4152.003187

基于智能无感睡眠监测系统的康养人群睡眠健康研究

doi: 10.16766/j.cnki.issn.1674-4152.003187

马倩^{1, 2},
张萍淑^{1, 2},
王连辉^{1, 2},
薛晶^{1, 2},
欧亚¹,
元小冬^{1, 2, ,}

1.
华北理工大学附属开滦总医院神经内科，河北唐山 063000
2.
河北省神经生物重点实验室，河北唐山 063000

基金项目:

河北省重点研发计划项目 203777116D

河北省医学科学研究课题计划项目 20231854

河北省医学适用技术跟踪计划项目 GZ2020002

详细信息

通讯作者:
元小冬，E-mail：yxd69@sohu.com

中图分类号: R163 R493
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- 文章访问数: 223
- HTML全文浏览量: 50
- PDF下载量: 49
- 被引次数: 0
出版历程
- 收稿日期: 2023-02-15
- 网络出版日期: 2023-11-23

Study on sleep health of convalescent population based on intelligent senseless sleep monitoring system

MA Qian^{1, 2},
ZHANG Pingshu^{1, 2},
WANG Lianhui^{1, 2},
XUE Jing^{1, 2},
OU Ya¹,
YUAN Xiaodong^{1, 2
, ,}

1.
Department of Neurology, Affiliated Kailuan General Hospital of North China University of Science and Technology, Tangshan, Hebei 063000, China

摘要

摘要: 目的应用智能无感睡眠监测技术对养老院中康养人群的睡眠结构及主要睡眠障碍进行分析。方法选择2021年8—12月于开滦荆各庄医养中心及开滦范各庄养老中心入住的志愿者共51例，应用智能床垫式睡眠状态监测平台系统(IMSMPS，SC-500型)进行夜间时段(17:00—06:00)睡眠状态的连续监测，分析连续监测7 d的数据。结果此人群7 d中第1天与第7天的浅睡眠期[(337.96±66.87)min vs. (318.18±74.05)min]与最大心率[79(76，83)次/min vs. 78(76, 81)次/min]差异有统计学意义(均P＜0.05)，其余各项睡眠监测指标差异均无统计学意义(均P＞0.05)。睡眠持续性在良好和尚可与不良三者之间波动者占23.53%(12/51)，入睡情况在良好和尚可与不良三者之间波动者占39.22%(20/51)，睡眠效率在良好和尚可与不良三者之间波动者仅占7.84%(4/51)。结论此类康养人群每天的睡眠状态具有较大的波动性，而且睡眠障碍的发病率很高，仅依据单次睡眠监测结果不足以排除睡眠障碍的诊断。
- 智能床垫式睡眠状态监测平台系统 /
- 康养人群 /
- 健康查体 /
- 睡眠状态 /
- 睡眠障碍
Abstract: Objective To analyze the sleep structure and main sleep disorders of healthy people in nursing homes using the intelligent senseless sleep monitoring technology. Methods A total of 51 volunteers admitted to Jinggezhuang Medical Center and Fangezhuang Old-age Center in Kailuan from August to December 2021 were selected. The intelligent mattress sleep state monitoring platform system (IMSMPS, SC-500) was used to continuously monitor the sleep state at night (17:00-06:00). The data of continuous monitoring for 7 days were analyzed. Results There was significant difference between shallow sleep period and maximum heart rate on day 1 and day 7 in this population [(337.96±66.87) min vs. (318.18±74.05) min; 79 (76, 83) times/min vs. 78 (76, 81) times/min, all P < 0.05], but there was no difference in other sleep monitoring indexes (all P>0.05). The sleep persistence fluctuated between good, fair and bad accounted for 23.53% (12/51), sleep condition fluctuated between good, fair and bad accounted for 39.22% (20/51), sleep efficiency fluctuated between good, fair and bad accounted for only 7.84% (4/51). Conclusion The sleep state of this kind of people has great fluctuation every day, and the incidence of sleep disorder is very high, so only based on the results of a single sleep monitoring is not enough to exclude the diagnosis of sleep disorder.
- Intelligent mattress sleep monitoring platform system /
- Convalescent population /
- Health check-up /
- Sleep state /
- Sleep disorder

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表 1 研究人群夜间睡眠相关生理指标的监测分析结果(n=51)

Table 1. The monitoring and analysis results of nocturnal sleep-related physiological indicators in the study population (n=51)

时间	夜间总睡眠时间 (x±s, min)	睡眠效率 (x±s, %)	深睡眠期 (x±s, min)	深睡眠期占比 (x±s, %)	浅睡眠期 (x±s, min)	浅睡眠期占比 (x±s, %)	REM期 (x±s, min)	REM期占比 (x±s, %)
第1天	494.53±106.58	86.20±4.93	61.38±37.29	11.95±5.33	337.96±66.87	69.00±7.73	96.14±33.68	19.25±4.89
第7天	476.28±110.52	85.22±4.75	63.10±31.85	13.03±5.65	318.18±74.05	67.23±7.28	95.00±35.92	19.75±5.27
统计量	1.450^a	1.595^a	-0.296^a	-1.029^a	2.081^a	1.337^a	0.243^a	-0.622^a
P值	0.153	0.117	0.769	0.769	0.043	0.187	0.809	0.537

时间	NREM期 (x±s, min)	NERM期占比 (x±s, %)	入睡后清醒时间 (x±s, min)	睡眠潜伏期 [M(P₂₅, P₇₅), min]	REM潜伏期 (x±s, min)	平均呼吸 [M(P₂₅, P₇₅), 次/min]		最小呼吸 [M(P₂₅, P₇₅), 次/min]
第1天	398.49±84.27	80.72±4.87	63.02±28.00	7(4, 22)	80.16±53.12	17(16, 18)		14(13, 15)
第7天	381.28±89.01	80.60±5.66	62.49±31.80	15(4, 30)	68.49±40.38	17(16, 18)		14(13, 15)
统计量	1.580^a	0.140^a	0.153^a	-1.756^b	1.349^a	-1.262^b		-0.559^b
P值	0.121	0.889	0.879	0.079	0.183	0.207		0.576

时间	最大呼吸 [M(P₂₅, P₇₅), 次/min]	平均心率 [M(P₂₅, P₇₅), 次/min]	最小心率 [M(P₂₅, P₇₅), 次/min]	最大心率 [M(P₂₅, P₇₅), 次/min]	呼吸变异指数 [M(P₂₅, P₇₅)]	心率变异指数 (x±s)		心血管健康指数 (x±s)
第1天	20(19, 22)	65(60, 70)	57(51, 61)	79(76, 83)	1.20(1.10, 1.40)	5.28±1.78		0.96±0.18
第7天	20(19, 21)	65(59, 70)	57(51, 63)	78(76, 81)	1.20(1.10, 1.40)	5.43±2.21		0.98±0.18
统计量	-1.449^b	-1.205^b	-0.558^b	-2.549^b	-0.073^b	-0.631^a		-0.971^a
P值	0.147	0.228	0.577	0.011	0.941	0.531		0.336
注：^a为t值，^b为Z值。

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参考文献(19)

[1]	国家统计局, 第七次全国人口普查公报(第五号)[A/OE]. (2021-05-11)[2023-02-06]. http://www.gov.cn/tjsj/tjgb/rkpcgb/qgrkpcgb/202106/t20210628_1818824.html. National Bureau of Statistics, Bulletin of the Seventh National population Census (No. 5)[A/OE]. (2021-05-11)[2023-02-06]. http://www.gov.cn/tjsj/tjgb/rkpcgb/qgrkpcgb/202106/t20210628_1818824.html.
[2]	HU W, CHU J D, CHEN X L, et al. The role of depression and physical activity in the association of between sleep quality, and duration with and health-related quality of life among the elderly: a UK Biobank cross-sectional study[J]. BMC Geriatr, 2022, 22(1): 338. doi: 10.1186/s12877-022-03047-x
[3]	TSARAS K, TSIANTOULA M, PAPAGIANNIS D, et al. The effect of depressive and insomnia symptoms in quality of life among community-dwelling older adults[J]. Int J Environ Res Public Health, 2022, 19(20): 13704. DOI: 10.3390/ijerph192013704.
[4]	DENISON H J, JAMESON K A, SAYER A A, et al. Poor sleep quality and physical performance in older adults[J]. Sleep Health, 2021, 7(2): 205-211. doi: 10.1016/j.sleh.2020.10.002
[5]	LIU X Y, WANG C L, QIAO X X, et al. Sleep quality, depression and frailty among Chinese community-dwelling older adults[J]. Geriatr Nurs, 2021, 42(3): 714-720. doi: 10.1016/j.gerinurse.2021.02.020
[6]	KHORSHIDI A, ROSTAMKHANI M, FAROKHI R, et al. Association between quality of life, sleep quality and mental disorders in Iranian older adults[J]. Sci Rep, 2022, 12(1): 15681. DOI: 10.1038/s41598-022-20013-0.
[7]	SELLA E, CELLINI N, BORELLA E. How elderly people' s quality of life relates to their sleep quality and sleep-related beliefs[J]. Behav Sleep Med, 2022, 20(1): 112-124. doi: 10.1080/15402002.2021.1895792
[8]	胡光玲, 乔昕悦, 张林虹, 等. 心房颤动患者睡眠质量与生活质量的相关性分析[J]. 中华全科医学, 2021, 19(1): 24-26, 41. doi: 10.16766/j.cnki.issn.1674-4152.001720 HU G L, QIAO X Y, ZHANG L H, et al. Correlation analysis of sleep quality and life quality in patients with atrial fibrillation[J]. Chinese Journal of General Practice, 2021, 19(1): 24-26, 41. doi: 10.16766/j.cnki.issn.1674-4152.001720
[9]	周丽, 阮春燕, 周晓丽, 等. 老年人群睡眠时长及睡眠质量与心血管疾病危险因素的关系研究[J]. 中华全科医学, 2020, 18(6): 1035-1039. doi: 10.16766/j.cnki.issn.1674-4152.001421 ZHOU L, RUAN C Y, ZHOU X L, et al. The correlation between sleep duration?sleep quality and cardiovascular disease risk factors in elderly[J]. Chinese Journal of General Practice, 2020, 18(6): 1035-1039. doi: 10.16766/j.cnki.issn.1674-4152.001421
[10]	高斌, 顾慧, 游咏. 卒中后睡眠障碍研究进展[J]. 海南医学, 2019, 30(18): 2418-2421. https://www.cnki.com.cn/Article/CJFDTOTAL-HAIN201918030.htm GAO B, GU H, YOU Y. Progress on post-stroke sleep disorders[J]. Hainan Medical Journal, 2019, 30(18): 2418-2421. https://www.cnki.com.cn/Article/CJFDTOTAL-HAIN201918030.htm
[11]	王振杰, 赵蔓, 陈婷蔚, 等. 中国老年人睡眠障碍患病率的Meta分析[J]. 中国全科医学, 2022, 25(16): 2036-2043. https://www.cnki.com.cn/Article/CJFDTOTAL-QKYX202216018.htm WANG Z J, ZHAO M, CHEN T W, et al. Sleep disturbance prevalence rate among Chinese older people: a meta-analysis[J]. Chinese General Practice, 2022, 25(16): 2036-2043. https://www.cnki.com.cn/Article/CJFDTOTAL-QKYX202216018.htm
[12]	张萍淑, 徐斌, 马倩, 等. 睡眠健康云平台智能监测分析系统的构建与评价[J]. 中国健康心理学杂志, 2022, 30(10): 1481-1488. https://www.cnki.com.cn/Article/CJFDTOTAL-JKXL202210008.htm ZHANG P S, XU B, MA Q, et al. Evaluation and construction of intelligent monitoring and analysis system for sleep health cloud platform[J]. China Journal of Health Psychology, 2022, 30(10): 1481-1488. https://www.cnki.com.cn/Article/CJFDTOTAL-JKXL202210008.htm
[13]	BUYSSE D J, REYNOLDS C F, MONK T H, et al. The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research[J]. Psychiatry Res, 1989, 28(2): 193-213.
[14]	李兰凤, 郑冠英, 魏世超, 等. 不同程度OSAHS老年患者睡眠结构与微觉醒分析[J]. 福建医药杂志, 2019, 41(5): 27-31. https://www.cnki.com.cn/Article/CJFDTOTAL-FJYY201905013.htm LI L F, ZHENG G Y, WEI S C, et al. Studies of sleep architecture and microarousal index in elderly patients with different severity of obstructive sleep apnea/hypopnea syndrome[J]. Fujian Medical Journal, 2019, 41(5): 27-31. https://www.cnki.com.cn/Article/CJFDTOTAL-FJYY201905013.htm
[15]	江伟, 汪念, 桑秋菊, 等. 合肥地区军队干休所高龄老年人睡眠质量现状及影响因素分析[J]. 中国医药导报, 2022, 19(5): 56-59. https://www.cnki.com.cn/Article/CJFDTOTAL-YYCY202205013.htm JIANG W, WANG N, SANG Q J, et al. Status quo and influencing factors of sleep quality among the elderly in military cadre sanitariums in Hefei area[J]. China Medical Herald, 2022, 19(5): 56-59. https://www.cnki.com.cn/Article/CJFDTOTAL-YYCY202205013.htm
[16]	JI S M, WANG J Y, WANG W, et al. Longer depressive duration reduces sleep duration more: a longitudinal study in the middle-aged and elderly Chinese[J]. J Affect Disord, 2022, 317: 185-192.
[17]	石婉荧, 郭明昊, 杜鹏, 等. 中国60岁及以上老年人睡眠与焦虑的关联研究[J]. 中华流行病学杂志, 2020, 41(1): 13-19. SHI W Y, GUO M H, DU P, et al. Association of sleep with anxiety in the elderly aged 60 years and older in China[J]. Chinese Journal of Epidemiology, 2020, 41(1): 13-19.
[18]	张颖, 黄蓉. 主动健康在睡眠中的应用概况[J]. 中国医刊, 2020, 55(6): 599-603. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGYI202006010.htm ZHANG Y, HUANG R. Application of active health in sleep[J]. Chinese Journal of Medicine, 2020, 55(6): 599-603. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGYI202006010.htm
[19]	BENJAFIELD A V, AYAS N T, EASTWOOD P R, et al. Estimation of the global prevalence and burden of obstructive sleep apnoea: a literature-based analysis[J]. Lancet Respir Med, 2019, 7(8): 687-698.