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Wang X, Luo L, Zhao J, Guo X, Tao L, Zhang F, Liu X, Gao B, Luo Y. Associations between sleep duration trajectories and cognitive decline: A longitudinal cohort study in China. Arch Gerontol Geriatr 2024; 124:105445. [PMID: 38733919 DOI: 10.1016/j.archger.2024.105445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Revised: 03/24/2024] [Accepted: 04/13/2024] [Indexed: 05/13/2024]
Abstract
OBJECT The relationship between sleep duration trajectories and cognitive decline remains uncertain. This study aims to examine the connections between various patterns of sleep duration and cognitive function. METHODS Group-based trajectory modeling (GBTM) was employed to identify longitudinal trajectories of sleep duration over four-year follow-up period, while considering age, sex and nap duration as adjustments. Logistic regression was utilized to analyze the association between sleep trajectories and cognition, with odds ratios (OR) and 95 % confidence intervals (CI) reported. Subgroup analyses based on various demographic characteristics were conducted to explore potential differences in sleep trajectories and cognitive decline across different population subgroups. RESULTS A total of 5061 participants were followed for four years, and three sleep duration trajectories were identified: high increasing (n = 2101, 41.6 %), stable increasing (n = 2087, 40.7 %), and low decreasing (n = 873, 17.7 %). After adjustment for basic demographic information, health status, and baseline cognition, the high increasing trajectory was found to be associated with cognitive decline in terms of global cognition (OR:1.52,95 %CI:1.18-1.96), mental intactness (OR:1.36,95 %CI:1.07-1.73) and episodic memory (OR:1.33, 95 %CI:1.05-1.67), as compared to stable increasing trajectory. These associations were particularly prominent among the non-elderly population (≤65 years) and those without depressive symptoms. CONCLUSION This study suggests that both high increasing and low decreasing sleep duration trajectories are linked to cognitive decline, as compared to the stable increasing trajectory. Long-term attention to changes in sleep duration facilitates early prevention of cognitive decline.
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Affiliation(s)
- Xiaonan Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, PR China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, PR China
| | - Lili Luo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, PR China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, PR China
| | - Jianxi Zhao
- School of Applied Science, Beijing Information Science and Technology University, Beijing, 100192, China
| | - Xiuhua Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, PR China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, PR China
| | - Lixin Tao
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, PR China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, PR China
| | - Feng Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, PR China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, PR China
| | - Xiangtong Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, PR China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, PR China
| | - Bo Gao
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, PR China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, PR China
| | - Yanxia Luo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, PR China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, PR China.
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Ouyang M, Chen T, Chen J, Liu C, Luo H, Yang S, Liao W. The association between sleep duration, bedtime, and cognitive ability in Chinese adults: Evidence from the China family panel studies. Heliyon 2024; 10:e30009. [PMID: 38737242 PMCID: PMC11088265 DOI: 10.1016/j.heliyon.2024.e30009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 04/09/2024] [Accepted: 04/18/2024] [Indexed: 05/14/2024] Open
Abstract
Introduction Dementia is marked by a steady decline or worsening in cognitive abilities, affecting memory, logic, and social competencies. While many studies suggest a potential link between the amount of sleep and dementia risk, the outcomes are not yet consistent. This research delved into the relationship between sleep length and bedtime on cognitive abilities using an extensive dataset from the China Family Panel Studies (CFPS) from 2014 to 2020. Methods Data from 175,702 observations were collected, including cognitive function test data from 22,848 participants. Various cognitive tests were used to assess cognitive function. Restricted cubic spline (RCS) models were used for data analysis. Results The optimal sleep duration for cognitive function was found to be 6-7 h, and the optimal bedtime was generally between 22:00-23:00. Longitudinal analysis revealed that sleep duration four years prior had a significant impact on current cognitive function. After accounting for various factors, those who slept for 7-8 h and over 8 h displayed lower cognitive function scores. Conversely, individuals sleeping less than 6 h had higher scores on the Vocabulary Test. Bedtime before 22:00 was associated with lower scores on the Vocabulary Test and Mathematical Test. Subgroup analyses based on age, gender, and urban residence showed variations in optimal sleep duration for different populations. Propensity Score Matching (PSM) analysis supported the findings. Conclusions Maintaining a sleep duration of 6-7 h and a regular bedtime between 22:00-23:00 is important for optimizing cognitive performance.
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Affiliation(s)
- Mengqian Ouyang
- Department of Economics, Guangdong Institute of Public Administration, Guangzhou, China
| | - Tao Chen
- Structural Cardiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Jiawei Chen
- Department of Neurology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Chongxu Liu
- Department of Neurology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Haoyu Luo
- Department of Neurology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Shaoqing Yang
- Department of Neurology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wang Liao
- Department of Neurology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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Li X, Yin Y, Zhang H. Nonlinear association between self-reported sleep duration and cognitive function among middle-aged and older adults in China: The moderating effect of informal care. Sleep Med 2024; 115:226-234. [PMID: 38377839 DOI: 10.1016/j.sleep.2024.02.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 01/24/2024] [Accepted: 02/13/2024] [Indexed: 02/22/2024]
Abstract
BACKGROUND Cognitive impairment is a major public health problem urgently to be solved. This study aims to examine the association between sleep duration and cognitive function and its two subdimensions: episodic memory and mental status, and to explore the moderating effects of informal care on these associations among middle-aged and older adults in China. METHODS Data was drawn from China Health and Retirement Longitudinal Study (CHARLS) 2011, 2013, 2015 and 2018 datasets. Sleep duration and informal care were self-reported. Cognitive function was measured using CHARLS Harmonized Cognitive Assessment Protocol. Effects of informal care on sleep duration-cognitive function were assessed using Generalized Estimating Equations models. RESULTS The relationships between sleep duration and cognitive function, episodic memory, and mental status were all found to follow an inverted U-shaped pattern. Spouse care weakened the adverse effects of extreme sleep duration on cognitive function while the children care amplified them. Further, we only observed the moderating effects of spouse and children care on the association between sleep duration and episodic memory, but not mental status. CONCLUSIONS The relationships between sleep duration and cognitive function, along with its different dimensions, are nonlinear in nature. The impacts of sleep duration on cognitive function and its dimensions are contingent upon the levels of informal care received and the sources of that care. We provide valuable insights into the complex interplay between sleep duration, informal care, and cognitive function.
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Affiliation(s)
- Xuezhu Li
- School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yujie Yin
- Department of Management, Marketing and Information Systems, Hong Kong Baptist University, Hong Kong, 999077, China
| | - Hui Zhang
- School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
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Ren X, Jiang M, Han L, Zheng X. Depressive symptoms and sleep duration in relation to chronic kidney disease: Evidence from the China health and retirement longitudinal study. J Psychosom Res 2023; 174:111494. [PMID: 37708593 DOI: 10.1016/j.jpsychores.2023.111494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 09/06/2023] [Accepted: 09/08/2023] [Indexed: 09/16/2023]
Abstract
OBJECTIVE Nowadays, the joint effects of depressive symptoms and sleep duration on the risk of chronic kidney disease (CKD) are still unclear. We aimed to prospectively assess the combined effect of depressive symptoms and sleep duration on the incidence of CKD in middle-aged and elderly Chinese population. METHODS A total of 10,953 participants from the China Health and Retirement Longitudinal Study (CHARLS) were included. Depressive symptoms were measured using the 10-item Center for Epidemiological Studies Depression scale (CESD-10). Sleep duration was evaluated by self-reported. CKD events were based on self-reported physicians' diagnosis or personal estimate glomerular filtration rate level (eGFR <60 mL/min/1.73 m2). Cox regression models were established to analyze the correlation between depressive symptoms, sleep duration and the risk of CKD. RESULTS Over a mean follow-up time was 6.76 ± 0.98 years, 851 (7.8%) participants had reported CKD events during the follow-up. Elevated depressive symptoms (HR = 1.65, 95% CI = 1.43-1.90) and short sleep duration (HR = 1.48, 95% CI = 1.27-1.72) were independently associated with an increased CKD risk after adjusting for potential confounding factors. Participants with short sleep duration (< 6 h)/elevated depressive symptoms (HR = 2.24, 95% CI = 1.89-2.65) were associated with the highest risk of CKD than those with normal sleep duration/low depressive symptoms. CONCLUSIONS Elevated depressive symptoms and short sleep duration were independent risk factors for CKD. There was a combined effect between depressive symptoms and sleep duration in increasing the risk of CKD.
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Affiliation(s)
- Xiao Ren
- Public Health Research Center and Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Minglan Jiang
- Public Health Research Center and Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Longyang Han
- Public Health Research Center and Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Xiaowei Zheng
- Public Health Research Center and Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu 214122, China.
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Zhou L, Kong J, Li X, Ren Q. Sex differences in the effects of sleep disorders on cognitive dysfunction. Neurosci Biobehav Rev 2023; 146:105067. [PMID: 36716906 DOI: 10.1016/j.neubiorev.2023.105067] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 01/24/2023] [Accepted: 01/26/2023] [Indexed: 01/29/2023]
Abstract
Sleep is an essential physiological function that sustains human life. Sleep disorders involve problems with the quality, duration, and abnormal behaviour of sleep. Insomnia is the most common sleep disorder, followed by sleep-disordered breathing (SDB). Sleep disorders often occur along with medical conditions or other mental health conditions. Of particular interest to researchers is the role of sleep disorders in cognitive dysfunction. Sleep disorder is a risk factor for cognitive dysfunction, yet the exact pathogenesis is still far from agreement. Little is known about how sex differences influence the changes in cognitive functions caused by sleep disorders. This narrative review examines how sleep disorders might affect cognitive impairment, and then explores the sex-specific consequences of sleep disorders as a risk factor for dementia and the potential underlying mechanisms. Some insights on the direction of further research are also presented.
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Affiliation(s)
- Lv Zhou
- School of Medicine, Southeast University, Nanjing 210009, China
| | - Jingting Kong
- School of Medicine, Southeast University, Nanjing 210009, China
| | - Xiaoli Li
- School of Medicine, Southeast University, Nanjing 210009, China; Department of Neurology, Affiliated ZhongDa Hospital of Southeast University, Nanjing 210009, China
| | - Qingguo Ren
- School of Medicine, Southeast University, Nanjing 210009, China; Department of Neurology, Affiliated ZhongDa Hospital of Southeast University, Nanjing 210009, China.
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Zhang H, Zhang L, Chen C, Zhong X. Association between daytime napping and cognitive impairment among Chinese older population: a cross-sectional study. Environ Health Prev Med 2023; 28:72. [PMID: 37989282 PMCID: PMC10685077 DOI: 10.1265/ehpm.23-00031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 09/30/2023] [Indexed: 11/23/2023] Open
Abstract
BACKGROUND Both napping and nighttime sleep duration have been reported to be associated with cognitive function in older adults, whereas little is known about the association between daytime napping and cognitive impairment in different nighttime sleep duration subgroups. This study aimed to explore the correlation between daytime napping and cognitive impairment across nighttime sleep duration subgroups. METHODS A cross-sectional study was conducted by using the fourth survey of China Health and Retirement Longitudinal Study (CHARLS). We utilized the Mini-Mental State Examination (MMSE) scale to define cognitive impairment, and the daytime napping and nighttime sleep duration was self-reported by individuals. We applied the Restricted Cubic Spline (RCS) to analysis the dose-response relationships between daytime napping and cognitive impairment. And the multivariate Logistic Regression Model (LRM) was performed to evaluate the association of daytime napping and cognitive impairment. RESULTS A total of 3,052 individuals were included, of which 769 were cognitive impairment. The RCS showed there were non-linear association between daytime napping and cognitive impairment in all participants group and longer nighttime sleep duration subgroup (PNon-linear < 0.05, PDaytime napping < 0.05). The LRM revealed no napping (OR = 1.62, 95%CI 1.14-2.30) and excessive napping (1.64 95%CI 1.09-2.48) were related to cognitive impairment in longer nighttime sleep duration subgroup. CONCLUSIONS Daytime napping had nonlinear association with cognitive impairment in Chinese elderly population. No napping and excessive daytime napping (>90 minutes) were related to cognitive impairment in participants with 7 and more hours nighttime sleep duration.
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Affiliation(s)
- Hong Zhang
- Department of Health Statistics, School of Public Health, Chongqing Medical University, Chongqing 400016, PR China
| | - Lijuan Zhang
- Department of Health Statistics, School of Public Health, Chongqing Medical University, Chongqing 400016, PR China
| | - Chen Chen
- Department of Health Statistics, School of Public Health, Chongqing Medical University, Chongqing 400016, PR China
| | - Xiaoni Zhong
- Department of Health Statistics, School of Public Health, Chongqing Medical University, Chongqing 400016, PR China
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