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Zhao T, Liu R, Han Q, Han X, Ren J, Mao M, Lu J, Cong L, Wang Y, Tang S, Du Y, Qiu C. Associations of 24-hour movement behaviors with depressive symptoms in rural-dwelling older adults: a compositional data analysis. Aging Clin Exp Res 2024; 36:165. [PMID: 39120630 PMCID: PMC11315720 DOI: 10.1007/s40520-024-02827-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Accepted: 08/01/2024] [Indexed: 08/10/2024]
Abstract
BACKGROUND We aimed to explore the association of sleep duration with depressive symptoms among rural-dwelling older adults in China, and to estimate the impact of substituting sleep with sedentary behavior (SB) and physical activity (PA) on the association with depressive symptoms. METHODS This population-based cross-sectional study included 2001 rural-dwelling older adults (age ≥ 60 years, 59.2% female). Sleep duration was assessed using the Pittsburgh Sleep Quality Index. We used accelerometers to assess SB and PA, and the 15-item Geriatric Depression Scale to assess depressive symptoms. Data were analyzed using restricted cubic splines, compositional logistic regression, and isotemporal substitution models. RESULTS Restricted cubic spline curves showed a U-shaped association between daily sleep duration and the likelihood of depressive symptoms (P-nonlinear < 0.001). Among older adults with sleep duration < 7 h/day, reallocating 60 min/day spent on SB and PA to sleep were associated with multivariable-adjusted odds ratio (OR) of 0.81 (95% confidence interval [CI] = 0.78-0.84) and 0.79 (0.76-0.82), respectively, for depressive symptoms. Among older adults with sleep duration ≥ 7 h/day, reallocating 60 min/day spent in sleep to SB and PA, and reallocating 60 min/day spent on SB to PA were associated with multivariable-adjusted OR of 0.78 (0.74-0.84), 0.73 (0.69-0.78), and 0.94 (0.92-0.96), respectively, for depressive symptoms. CONCLUSIONS Our study reveals a U-shaped association of sleep duration with depressive symptoms in rural older adults and further shows that replacing SB and PA with sleep or vice versa is associated with reduced likelihoods of depressive symptoms depending on sleep duration.
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Affiliation(s)
- Tong Zhao
- Department of Neurology, Shandong Provincial Hospital, Shandong University, No. 324 Jingwuweiqi Road, Jinan, 250021, Shandong, P.R. China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
| | - Rui Liu
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
- Department of Ultrasound, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
| | - Qi Han
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, P.R. China
| | - Xiaolei Han
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, P.R. China
| | - Juan Ren
- Department of Neurology, Shandong Provincial Hospital, Shandong University, No. 324 Jingwuweiqi Road, Jinan, 250021, Shandong, P.R. China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
| | - Ming Mao
- Department of Neurology, Shandong Provincial Hospital, Shandong University, No. 324 Jingwuweiqi Road, Jinan, 250021, Shandong, P.R. China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
| | - Jie Lu
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
| | - Lin Cong
- Department of Neurology, Shandong Provincial Hospital, Shandong University, No. 324 Jingwuweiqi Road, Jinan, 250021, Shandong, P.R. China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, P.R. China
| | - Yongxiang Wang
- Department of Neurology, Shandong Provincial Hospital, Shandong University, No. 324 Jingwuweiqi Road, Jinan, 250021, Shandong, P.R. China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, P.R. China
| | - Shi Tang
- Department of Neurology, Shandong Provincial Hospital, Shandong University, No. 324 Jingwuweiqi Road, Jinan, 250021, Shandong, P.R. China.
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, P.R. China.
| | - Yifeng Du
- Department of Neurology, Shandong Provincial Hospital, Shandong University, No. 324 Jingwuweiqi Road, Jinan, 250021, Shandong, P.R. China.
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, P.R. China.
| | - Chengxuan Qiu
- Department of Neurology, Shandong Provincial Hospital, Shandong University, No. 324 Jingwuweiqi Road, Jinan, 250021, Shandong, P.R. China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China
- Aging Research Center, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
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Li C, Wang J, Han X, Li Y, Liu K, Zhao M, Gong T, Hou T, Wang Y, Cong L, Song L, Du Y. Development and validation of a diagnostic model for cerebral small vessel disease among rural older adults in China. Front Neurol 2024; 15:1388653. [PMID: 39036632 PMCID: PMC11258008 DOI: 10.3389/fneur.2024.1388653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 06/26/2024] [Indexed: 07/23/2024] Open
Abstract
Objectives Cerebral small vessel disease (CSVD) visible on MRI can be asymptomatic. We sought to develop and validate a model for detecting CSVD in rural older adults. Methods This study included 1,192 participants in the MRI sub-study within the Multidomain Interventions to Delay Dementia and Disability in Rural China. Total sample was randomly divided into training set and validation set. MRI markers of CSVD were assessed following the international criteria, and total CSVD burden was assessed on a scale from 0 to 4. Logistic regression analyses were used to screen risk factors and develop the diagnostic model. A nomogram was used to visualize the model. Model performance was assessed using the area under the receiver-operating characteristic curve (AUC), calibration plot, and decision curve analysis. Results The model included age, high blood pressure, white blood cell count, neutrophil-to-lymphocyte ratio (NLR), and history of cerebral infarction. The AUC was 0.71 (95% CI, 0.67-0.76) in the training set and 0.69 (95% CI, 0.63-0.76) in the validation set. The model showed high coherence between predicted and observed probabilities in both the training and validation sets. The model had higher net benefits than the strategy assuming all participants either at high risk or low risk of CSVD for probability thresholds ranging 50-90% in the training set, and 65-98% in the validation set. Conclusion A model that integrates routine clinical factors could detect CSVD in older adults, with good discrimination and calibration. The model has implication for clinical decision-making.
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Affiliation(s)
- Chunyan Li
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Jiafeng Wang
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
| | - Xiaodong Han
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
| | - Yuanjing Li
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
| | - Keke Liu
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China
| | - Mingqing Zhao
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Tao Gong
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
| | - Tingting Hou
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China
| | - Yongxiang Wang
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China
| | - Lin Cong
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China
| | - Lin Song
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China
| | - Yifeng Du
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, China
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Wang S, Zheng X, Huang J, Liu J, Li C, Shang H. Sleep characteristics and risk of Alzheimer's disease: a systematic review and meta-analysis of longitudinal studies. J Neurol 2024; 271:3782-3793. [PMID: 38656621 DOI: 10.1007/s00415-024-12380-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 04/08/2024] [Accepted: 04/09/2024] [Indexed: 04/26/2024]
Abstract
BACKGROUND Alzheimer's disease (AD) is on the rise in our aging society, making it crucial to identify additional risk factors to mitigate its increasing incidence. This systematic review and meta-analysis aimed to provide updated evidence regarding the association between sleep and AD. METHODS We conducted a comprehensive search of MEDLINE, EMBASE, and Web of Science databases from inception to July 2023 to identify longitudinal studies. Adjusted relative risks were pooled for each sleep characteristic, and a dose-response analysis was performed specifically for sleep duration. RESULTS A total of 15,278 records were initially retrieved, and after screening, 35 records were ultimately included in the final analysis. The results showed that insomnia (RR, 1.43; 95%CI, 1.17-1.74), sleep-disordered breathing (RR, 1.22; 95%CI, 1.07-1.39), as well as other sleep problems, including sleep fragmentation and sleep-related movement disorders, were associated with a higher risk of developing AD, while daytime napping or excessive daytime sleepiness (RR, 1.18; 95%CI, 1.00-1.40) only exhibited a trend toward a higher risk of AD development. Furthermore, our analysis revealed a significant association between self-reported sleep problems (RR, 1.34; 95%CI, 1.26-1.42) and the incidence of AD, whereas this association was not observed with sleep problems detected by objective measurements (RR, 1.14; 95%CI, 0.99-1.31). Moreover, both quite short sleep duration (< 4 h) and long duration (> 8 h) were identified as potential risk factors for AD. CONCLUSIONS Our study found the association between various types of sleep problems and an increased risk of AD development. However, these findings should be further validated through additional objective device-based assessments. Additional investigation is required to establish a definitive causal connection between sleep problems and AD.
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Affiliation(s)
- Shichan Wang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No.37, Guoxue Lane, Chengdu, 610041, China
| | - Xiaoting Zheng
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No.37, Guoxue Lane, Chengdu, 610041, China
| | - Jingxuan Huang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No.37, Guoxue Lane, Chengdu, 610041, China
| | - Jiyong Liu
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No.37, Guoxue Lane, Chengdu, 610041, China
| | - Chunyu Li
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No.37, Guoxue Lane, Chengdu, 610041, China.
| | - Huifang Shang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, No.37, Guoxue Lane, Chengdu, 610041, China.
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Tang S, Liu R, Ren J, Song L, Dong L, Qin Y, Zhao M, Wang Y, Dong Y, Zhao T, Liu C, Hou T, Cong L, Sindi S, Winblad B, Du Y, Qiu C. Association of objective sleep duration with cognition and brain aging biomarkers in older adults. Brain Commun 2024; 6:fcae144. [PMID: 38756537 PMCID: PMC11098043 DOI: 10.1093/braincomms/fcae144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 02/21/2024] [Accepted: 04/25/2024] [Indexed: 05/18/2024] Open
Abstract
The neuropathological mechanisms underlying the association between sleep duration and mild cognitive impairment remain poorly understood. This population-based study included 2032 dementia-free people (age ≥ 60 years; 55.1% women) derived from participants in the Multimodal Interventions to Delay Dementia and Disability in Rural China; of these, data were available in 841 participants for Alzheimer's plasma biomarkers (e.g. amyloid-β, total tau and neurofilament light chain), 1044 for serum microvascular biomarkers (e.g. soluble adhesion molecules) and 834 for brain MRI biomarkers (e.g. whiter matter, grey matter, hippocampus, lacunes, enlarged perivascular spaces and white matter hyperintensity WMH). We used electrocardiogram-based cardiopulmonary coupling analysis to measure sleep duration, a neuropsychological test battery to assess cognitive function and the Petersen's criteria to define mild cognitive impairment. Data were analysed with multivariable logistic and general linear models. In the total sample (n = 2032), 510 participants were defined with mild cognitive impairment, including 438 with amnestic mild cognitive impairment and 72 with non-amnestic mild cognitive impairment. Long sleep duration (>8 versus 6-8 h) was significantly associated with increased likelihoods of mild cognitive impairment and non-amnestic mild cognitive impairment and lower scores in global cognition, verbal fluency, attention and executive function (Bonferroni-corrected P < 0.05). In the subsamples, long sleep duration was associated with higher plasma amyloid-β40 and total tau, a lower amyloid-β42/amyloid-β40 ratio and smaller grey matter volume (Bonferroni-corrected P < 0.05). Sleep duration was not significantly associated with serum-soluble adhesion molecules, white matter hyperintensity volume, global enlarged perivascular spaces and lacunes (P > 0.05). Alzheimer's and neurodegenerative pathologies may represent common pathways linking long sleep duration with mild cognitive impairment and low cognition in older adults.
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Affiliation(s)
- Shi Tang
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan 250021, China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan 250021, China
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, China
| | - Rui Liu
- Department of Ultrasound, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China
| | - Juan Ren
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan 250021, China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan 250021, China
| | - Lin Song
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan 250021, China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan 250021, China
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, China
| | - Lingling Dong
- Department of Neurology, Dongying People’s Hospital, Dongying 257091, China
| | - Yu Qin
- Department of Neurology, Liaocheng People’s Hospital, Liaocheng 252000, China
| | - Mingqing Zhao
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan 250021, China
| | - Yongxiang Wang
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan 250021, China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan 250021, China
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, China
- Institute of Brain Science and Brain-Inspired Research, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, China
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, 171 65 Solna, Sweden
| | - Yi Dong
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan 250021, China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan 250021, China
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, China
| | - Tong Zhao
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan 250021, China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan 250021, China
| | - Cuicui Liu
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan 250021, China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan 250021, China
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, China
| | - Tingting Hou
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan 250021, China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan 250021, China
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, China
| | - Lin Cong
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan 250021, China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan 250021, China
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, China
| | - Shireen Sindi
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, 171 65 Solna, Sweden
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 171 64 Solna, Sweden
- Neuroepidemiology and Ageing Research Unit (AGE), School of Public Health, Imperial College London, London SW7 2AZ, United Kingdom
| | - Bengt Winblad
- Division of Neurogeriatrics and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 171 64 Solna, Sweden
- Theme Inflammation and Aging, Karolinska University Hospital, 141 83 Huddinge, Sweden
| | - Yifeng Du
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan 250021, China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan 250021, China
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, China
- Institute of Brain Science and Brain-Inspired Research, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, China
| | - Chengxuan Qiu
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China
- Institute of Brain Science and Brain-Inspired Research, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, China
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, 171 65 Solna, Sweden
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Yang S, Wang S, Liu G, Li R, Li X, Chen S, Wang J, Zhao Y, Liu M, He Y. Association of Sleep Status With Cognitive Functions in Centenarians: Evidence From Hainan Centenarian Cohort. J Gerontol B Psychol Sci Soc Sci 2024; 79:gbad185. [PMID: 38150001 PMCID: PMC10873833 DOI: 10.1093/geronb/gbad185] [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: 05/04/2023] [Indexed: 12/28/2023] Open
Abstract
OBJECTIVES This study aimed to analyze the association between sleep quality, sleep duration, and cognitive functions among centenarians. METHODS The baseline data of the China Hainan Centenarians Cohort Study served as the foundation for this study. Logistic regression was utilized to demonstrate the relationship between sleep status and cognitive impairment. Moreover, a canonical correlation analysis was performed to analyze the correlation between these variables. RESULTS A total of 994 centenarians were included. After adjustment, poor sleep quality centenarians had an odds ratio of 1.77 (95% confidence interval [CI]: 1.00-3.09) for cognitive impairment when compared to centenarians with normal sleep quality. Centenarians who slept for more than 9 hr had a stronger association with severe cognitive impairment, indicated by an odds ratio of 1.41 (95% CI: 1.02-1.96), compared to those who slept for 7-9 hr. Additionally, the canonical correlation analysis results revealed that the linear combination of sleep quality V1, primarily determined by sleep latency, daytime dysfunction, and subjective sleep quality, was associated with cognitive function; the linear combination of cognitive function W1, mainly determined by orientation, attention and calculation, and memory. DISCUSSION There exists a correlation between poor sleep quality and cognitive impairment in centenarians, as well as a correlation between sleep duration >9 hr at night and severe cognitive impairment. The primary cognitive domains associated with sleep quality are orientation, calculation, and memory. It is imperative to monitor and safeguard the cognitive functions linked to poor sleep quality in the older individuals, with attention to orientation, calculation, and memory.
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Affiliation(s)
- Shanshan Yang
- Department of Disease Prevention and Control, First Medical Center, Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Shengshu Wang
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Guangdong Liu
- Graduate School, Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Rongrong Li
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Xuehang Li
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Shimin Chen
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Jianhua Wang
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Yali Zhao
- Central Laboratory of Hainan Hospital, Chinese People’s Liberation Army General Hospital, Sanya, China
| | - Miao Liu
- Department of Statistics and Epidemiology, Graduate School, Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Yao He
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese People’s Liberation Army General Hospital, Beijing, China
- State Key Laboratory of Kidney Diseases, Beijing, China
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Liu X, Wang G, Cao Y. The prevalence of mild cognitive impairment and dementia among rural dwellers: A systematic review and meta-analysis. Geriatr Nurs 2024; 56:74-82. [PMID: 38306919 DOI: 10.1016/j.gerinurse.2024.01.003] [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: 11/06/2023] [Revised: 01/04/2024] [Accepted: 01/11/2024] [Indexed: 02/04/2024]
Abstract
The mild cognitive impairment (MCI) and dementia in rural areas are increasingly attracting public attention. However, their prevalence is still unclear. This study aims to reveal the distribution of MCI and dementia in rural areas. We systematically searched PubMed, Web of Science, Embase, and PsycINFO up to June 2023 for cohort and cross-sectional studies. Meta-analysis was conducted using random-effects models to evaluate the prevalence of MCI and dementia. Thirty-five studies with 16,936 participants met the inclusion criteria. The pooled prevalence of MCI and dementia was 27 % (n = 12, 95 %CI = 0.21-0.32, I2 = 99.5 %, P < 0.001) and 7 % (n = 27, 95 %CI = 0.05-0.08, I2 = 99.30 %, P < 0.001), respectively. Subgroup analyses revealed that aged 60 years or older [(MCI: 29 %, 95 %CI = 0.20-0.38, I2 = 99.7 %, P < 0.001), (dementia: 9 % (95 %CI = 0.06-0.12, I2 = 99 %, P < 0.001)], female [(MCI: 29 %, 95 %CI = 0.19-0.40, I2 = 99.3 %, P < 0.001), (dementia: 7 %, 95 % CI = 0.04-0.12, I2 = 98.66 %, P < 0.001)], a-MCI (19 %, 95 %CI = 0.12-0.26, I2 = 97.62 %, P < 0.001) and AD (4 %, 95 %CI = 0.02-0.05, I2 = 98.60 %, P < 0.001) showed higher prevalence. The prevalence of MCI and dementia in rural China was 23 % (95 %CI = 0.18-0.29, I2 = 99.5 %, P < 0.001) and 6 % (95 %CI = 0.04-0.08, I2 = 99.6 %, P < 0.001), respectively. Implementing cognitive impairment screening and intervention measures is necessary to improve the cognitive function of the rural population.
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Affiliation(s)
- Xueyan Liu
- School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, 44 Wenhuaxi Road, Lixia District, Jinan, Shandong Province, China
| | - Guangpeng Wang
- Xiangya School of Nursing, Central South University, 172 Tongzipo Road, Yuelu District, Changsha, Hunan Province, China
| | - Yingjuan Cao
- School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, 44 Wenhuaxi Road, Lixia District, Jinan, Shandong Province, China; Department of Nursing, Qilu Hospital, Shandong University, 107 Wenhuaxi Road, Lixia District, Jinan, Shandong Province, China; Nursing Theory and Practice Innovation Research Center, Shandong University, Jinan, Shandong, China.
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Liu X, Xu P, Wei R, Cheng B, Sun L, Yang L, Chen G. Gender-and age-specific associations of sleep duration and quality with cognitive impairment in community-dwelling older adults in Anhui Province, China. Front Public Health 2024; 11:1047025. [PMID: 38249381 PMCID: PMC10796606 DOI: 10.3389/fpubh.2023.1047025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Accepted: 12/11/2023] [Indexed: 01/23/2024] Open
Abstract
Objective To examine associations of sleep duration and quality with cognitive impairment in older adults and the moderating role of gender and age in these associations. Methods This community-based cross-sectional study included 4,837 participants aged 60 years and above. Cognitive function was assessed using the Chinese version of the Mini-Mental State Examination (MMSE), and the participants were grouped based on the presence of cognitive impairment. The duration and quality of sleep were assessed using the Pittsburgh Sleep Quality Index (PSQI). Multivariate logistic regression models were used to analyze associations of sleep duration and quality with cognitive impairment. The role of age and gender in these associations have also been explored. Results The age (mean ± SD) of the participants was 71.13 ± 5.50 years. Of all older adults, 1,811 (37.44%) were detected as cognitive impairment, and 1755 (36.8%) had poor sleep quality. Among those with cognitive impairment, 51.09% were female. The proportion of the participants with cognitive impairment is significantly higher in those with symptoms of depression (49.73%, 273/549) (χ2 = 41.275, p < 0.001) than in those without depressive symptoms. After adjustment for multiple confounding factors and the crucial covariate (depressive symptoms), the odds ratios (OR) (95% confidence interval [CI]) of cognitive impairment (with 7-7.9 h regarded as the reference group) for individuals with a sleep duration of <6, 6-6.9, 8-8.9, and ≥ 9 h were 1.280 (1.053-1.557), 1.425 (1.175-1.728), 1.294 (1.068-1.566), and 1.360 (1.109-1.668), respectively. Subgroup analysis showed a V-shaped association between night sleep duration and cognitive impairment in males (p ≤ 0.05), and the association was stronger for individuals aged 60-80 years. With regard to sleep quality, the fully adjusted OR (95%CI) of cognitive impairment were 1.263 (1.108-1.440). According to scores of subscales in the PSQI, daytime dysfunction was associated with an increased risk of cognitive impairment (OR: 1.128, 95%CI: 1.055-1.207). Subgroup analysis also revealed a statistically significant correlation between poor sleep quality (including daytime dysfunction) and cognitive impairment in different gender and age groups, with the association being stronger in females (OR: 1.287, 95%CI: 1.080-1.534) and those aged 81-97 years (OR: 2.128, 95%CI: 1.152-3.934). For cognitive impairment, the group aged 81-97 years with daytime dysfunction was associated with a higher odds ratio than other age groups. Conclusion The present study showed that inadequate or excessive sleep was associated with cognitive impairment, especially in males, who exhibited a V-shaped association. Cognitive impairment was also associated with poor sleep quality as well as daytime dysfunction, with females and individuals aged 81-97 years exhibiting the strongest association.
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Affiliation(s)
- Xuechun Liu
- Department of Neurology, The Second People’s Hospital of Hefei, Hefei, China
| | - Peiru Xu
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
| | - Rong Wei
- Outpatient Department of the Second Hospital of Anhui Medical University, Hefei, China
| | - Beijing Cheng
- School of Public Health, Anhui Medical University, Hefei, China
| | - Liang Sun
- Fuyang Center of Disease Control and Prevention, Fuyang, China
| | - Linsheng Yang
- School of Public Health, Anhui Medical University, Hefei, China
| | - Guihai Chen
- Department of Neurology (Sleep Disorders), The Affiliated Chaohu Hospital of Anhui Medical University, Hefei, China
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Wang Z, Zeng Z. Association between personality characteristics and sleep quality among Chinese middle-aged and older adults: evidence from China family panel studies. BMC Public Health 2023; 23:2427. [PMID: 38053067 PMCID: PMC10699122 DOI: 10.1186/s12889-023-17352-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 11/27/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND Poor sleep quality will have adverse effects on physical and mental health, quality of life and other aspects of middle-aged and older adults. Sleep quality is affected by many factors. Whether the sleep quality measures of the participants had changed in the previous or subsequent time period is not easily taken into account. Moreover, there have been no studies on this topic in Chinese middle-aged and older adults. The objective of this study was to mitigate the bias of sleep quality assessment, and analyze the association between personality traits and sleep quality in Chinese middle-aged and older adults. METHODS The data came from the China Family Panel Studies (CFPS). A total of 6031 participants aged ≥ 45 years were included in this study. Personality characteristics were evaluated based on the scores of each dimension of Big Five personality traits. Sleep duration and sleep perception were used as indicators to measure sleep quality. Logistic models were used to analyze the relationship between personality traits and sleep duration or sleep perception, respectively. RESULTS 4.5% of the participants had abnormal sleep duration, and 14.4% had a pessimistic sleep perception. Conscientiousness was rated the highest among the personality traits (3.97 ± 0.6). Participants with higher scores for extraversion personality traits had more normal sleep duration (OR = 0.77, 95% CI: 0.64-0.93) and more optimistic sleep perception (OR = 0.86, 95% CI: 0.76-0.96). Using the Internet and feeling unwell in the past week have a moderating effect on the impact of conscientiousness personality characteristics on sleep duration or sleep perception, respectively (but not overall sleep quality). In addition, participants with a spouse or no recent physical discomfort tended to have a normal sleep duration and a more optimistic sleep perception. CONCLUSIONS The higher the score of extraversion personality traits, the better the overall sleep quality of middle-aged and older adults. Having a spouse and feeling unwell were the important factors affecting their sleep quality. Specific personality traits intervention should be carried out for middle-aged and older adults with poor sleep quality to make their personality traits are closer to extraversion. In addition, middle-aged and older adults without spouses should be encouraged to marry or remarry. We will strengthen health management and medical expenditures for middle-aged and older adults.
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Affiliation(s)
- Zhen Wang
- School of Public Health, Hubei University of Medicine, Hubei, China
| | - Zhi Zeng
- School of Public Health, Hubei University of Medicine, Hubei, China.
- Center of Health Administration and Development Studies, Hubei University of Medicine, Hubei, China.
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Kinoshita K, Otsuka R, Takada M, Nishita Y, Tange C, Jinzu H, Suzuki K, Shimokata H, Imaizumi A, Arai H. Dietary amino acid intake and sleep duration are additively involved in future cognitive decline in Japanese adults aged 60 years or over: a community-based longitudinal study. BMC Geriatr 2023; 23:653. [PMID: 37821805 PMCID: PMC10568860 DOI: 10.1186/s12877-023-04359-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 09/27/2023] [Indexed: 10/13/2023] Open
Abstract
BACKGROUND Sleep duration and amino acid intake are independently associated with cognitive decline. This study aimed to determine the longitudinal association between sleep duration and cognitive impairment incidence and to examine the involvement of diet, particularly amino acid intake, in these associations in community dwellers. METHODS In this longitudinal study in a community-based setting, we analyzed data from 623 adults aged 60-83 years without cognitive impairment at baseline. Sleep duration was assessed using a self-report questionnaire. Amino acid intake was assessed using 3-day dietary records. Cognitive impairment was defined as a Mini-Mental State Examination score ≤ 27. Participants were classified into short-, moderate-, and long-sleep groups according to baseline sleep duration (≤ 6, 7-8, and > 8 h, respectively). Using moderate sleep as a reference, odds ratios (ORs) and 95% confidence intervals (CIs) of short- and long-sleep for cognitive-impairment incidence were estimated using the generalized estimating equation. Participants were classified according to sex-stratified quartiles (Q) of 19 amino acid intake: Q1 and Q2-Q4 were low- and middle to high-intake groups, respectively. Using middle- to high-intake as a reference, ORs and 95% CIs of low intake for cognitive impairment incidence were estimated using the generalized estimating equation in each sleep-duration group. Follow-up period, sex, age, body mass index, depressive symptoms, education, smoking status, employment status, sleep aids use, physical activity, medical history, and Mini-Mental State Examination score at baseline were covariates. RESULTS Mean follow-up period was 6.9 ± 2.1 years. Adjusted ORs (95% CIs) for cognitive impairment in short- and long-sleep groups were 0.81 (0.49-1.35, P = 0.423) and 1.41 (1.05-1.87, P = 0.020), respectively. Particularly in long sleepers (i.e., > 8 h), cognitive impairment was significantly associated with low cystine, proline, and serine intake [adjusted ORs (95% CIs) for cognitive impairment were 2.17 (1.15-4.11, P = 0.017), 1.86 (1.07-3.23, P = 0.027), and 2.21 (1.14-4.29, P = 0.019), respectively]. CONCLUSIONS Community-dwelling adults aged ≥ 60 years who sleep longer are more likely to have cognitive decline, and attention should be paid to the low cystine, proline, and serine intake.
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Affiliation(s)
- Kaori Kinoshita
- Department of Frailty Research, Center for Gerontology and Social Science, Research Institute, National Center for Geriatrics and Gerontology, 7-430 Morioka, Obu, Aichi, 474-8511, Japan.
| | - Rei Otsuka
- Department of Epidemiology of Aging, Center for Gerontology and Social Science, Research Institute, National Center for Geriatrics and Gerontology, Aichi, Japan
| | - Michihiro Takada
- Research Institute for Bioscience Products & Fine Chemicals, AJINOMOTO CO., Inc., Kanagawa, Japan
| | - Yukiko Nishita
- Department of Epidemiology of Aging, Center for Gerontology and Social Science, Research Institute, National Center for Geriatrics and Gerontology, Aichi, Japan
| | - Chikako Tange
- Department of Epidemiology of Aging, Center for Gerontology and Social Science, Research Institute, National Center for Geriatrics and Gerontology, Aichi, Japan
| | - Hiroko Jinzu
- Institute of Food Sciences and Technologies, AJINOMOTO CO., Inc., Kanagawa, Japan
| | - Katsuya Suzuki
- Institute of Food Sciences and Technologies, AJINOMOTO CO., Inc., Kanagawa, Japan
| | - Hiroshi Shimokata
- Department of Frailty Research, Center for Gerontology and Social Science, Research Institute, National Center for Geriatrics and Gerontology, 7-430 Morioka, Obu, Aichi, 474-8511, Japan
- Graduate School of Nutritional Sciences, Nagoya University of Arts and Sciences, Aichi, Japan
| | - Akira Imaizumi
- Research Institute for Bioscience Products & Fine Chemicals, AJINOMOTO CO., Inc., Kanagawa, Japan
| | - Hidenori Arai
- National Center for Geriatrics and Gerontology, Aichi, Japan
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Wang S, Zhang Q, Hou T, Wang Y, Han X, Song L, Tang S, Dong Y, Cong L, Du Y, Qiu C. Differential Associations of 6 Adiposity Indices With Dementia in Older Adults: The MIND-China Study. J Am Med Dir Assoc 2023; 24:1412-1419.e4. [PMID: 37543368 DOI: 10.1016/j.jamda.2023.06.029] [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: 04/18/2023] [Revised: 06/22/2023] [Accepted: 06/22/2023] [Indexed: 08/07/2023]
Abstract
OBJECTIVES The cross-sectional association between late-life obesity and dementia is often explained by the obesity paradox. We assessed the potential differential associations of various adiposity indices with dementia and subtypes of dementia in rural Chinese older adults. DESIGN A population-based cross-sectional study. SETTING AND PARTICIPANTS A total of 5277 participants (age ≥60 years; 57.23% female) who were living in rural communities and were examined in March-September 2018 for MIND-China. METHODS We used weight, height, and waist circumference (WC) to calculate 6 adiposity indices: body mass index (BMI), waist-to-height ratio (WHtR), weight-adjusted-waist index (WWI), A Body Shape Index (ABSI), body roundness index (BRI), and Conicity Index (ConI). Dementia, Alzheimer's disease (AD), and vascular dementia (VaD) were clinically diagnosed following the international criteria. Data were analyzed with logistic regression models. RESULTS Of the 5277 participants, 303 were diagnosed with dementia, including 193 with AD and 99 with VaD. The multivariable-adjusted odds ratio (95% CI) of dementia associated with the highest (vs lowest) quintile of adiposity index was 2.32 (1.40-3.85) for WWI, 1.56 (1.03-2.36) for ABSI, and 1.40 (0.92-2.11) for ConI. Similarly, higher levels of these 3 adiposity indices were significantly associated with an increased likelihood of AD, whereas a higher BMI was associated with a decreased likelihood of AD. None of the 6 examined adiposity indices was significantly associated with VaD when adjusting for multiple confounders. CONCLUSIONS AND IMPLICATIONS The adiposity index WWI is linearly associated with the likelihood of dementia and AD. An increased WWI may be a clinical marker for the dementia syndrome and Alzheimer's dementia.
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Affiliation(s)
- Shanshan Wang
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, PR China; Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, PR China; Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, PR China
| | - Qinghua Zhang
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, PR China; Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, PR China; Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, PR China
| | - Tingting Hou
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, PR China; Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, PR China; Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, PR China
| | - Yongxiang Wang
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, PR China; Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, PR China; Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, PR China
| | - Xiaojuan Han
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, PR China; Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, PR China; Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, PR China
| | - Lin Song
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, PR China; Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, PR China; Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, PR China
| | - Shi Tang
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, PR China; Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, PR China; Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, PR China
| | - Yi Dong
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, PR China
| | - Lin Cong
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, PR China; Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, PR China; Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, PR China
| | - Yifeng Du
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, PR China; Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, PR China; Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, PR China.
| | - Chengxuan Qiu
- Department of Neurology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, PR China; Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden.
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11
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Song Y, Dong Q, Chang Z, Song C, Cui K, Wu S, Gao G, Fu R, Gao Y, Dou K. The impact of sleep quality and its change on the long-term risk of stroke in middle-aged and elderly people: Findings from the English Longitudinal Study of Ageing. Sleep Med 2023; 107:281-288. [PMID: 37263080 DOI: 10.1016/j.sleep.2023.04.032] [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: 02/16/2023] [Revised: 04/26/2023] [Accepted: 04/30/2023] [Indexed: 06/03/2023]
Abstract
OBJECTIVE This study focused on middle-aged and elderly adults (mean age ≥60 years) in England and aimed to evaluate the impact of sleep quality and change in sleep quality on the long-term risk of stroke. PATIENTS/METHODS The current prospective study enrolled 6214 participants without stroke from wave 4 (2008-2009) of the English Longitudinal Study Aging (ELSA) dataset. From the ELSA questionnaires, sleep quality scores were calculated and used to evaluate the sleep quality of each participant. Cox proportional hazards regression models were used to assess the association between sleep status and stroke risk. Restricted cubic spline (RCS) was employed for the relationship between sleep quality score and the risk of stroke. RESULTS During the 8-year follow-up, 130 (2.1%) cases of stroke were recorded. Participants with poor baseline sleep quality had a significantly higher long-term risk of stroke compared with those with good sleep quality (hazard ratio [HR] 2.37, 95% confidence intervals [CI] 1.44, 3.91). For the influence of change in sleep quality on stroke risk, worsened sleep quality was associated with a significant increase in the risk of stroke in the good (HR 2.08, 95% CI, 1.02, 4.26) and intermediate sleep quality groups (HR 2.15, 95% CI, 1.16, 3.98). Moreover, improved sleep quality decreased stroke risk among subjects with poor sleep quality (HR 0.31, 95% CI, 0.15, 0.61). CONCLUSIONS Poor and worsened sleep quality is associated with an increased risk of stroke. Emphasis should be placed on improving sleep quality in middle-aged and elderly individuals.
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Affiliation(s)
- Yanjun Song
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; State Key Laboratory of Cardiovascular Disease, Beijing, China
| | - Qiuting Dong
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; State Key Laboratory of Cardiovascular Disease, Beijing, China
| | - Zhen'ge Chang
- Department of Respiratory Medicine, Civil Aviation General Hospital, Beijing, China
| | - Chenxi Song
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; State Key Laboratory of Cardiovascular Disease, Beijing, China
| | - Kongyong Cui
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; State Key Laboratory of Cardiovascular Disease, Beijing, China
| | - Shaoyu Wu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; State Key Laboratory of Cardiovascular Disease, Beijing, China
| | - Guofeng Gao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; State Key Laboratory of Cardiovascular Disease, Beijing, China
| | - Rui Fu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; State Key Laboratory of Cardiovascular Disease, Beijing, China
| | - Ying Gao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; State Key Laboratory of Cardiovascular Disease, Beijing, China.
| | - Kefei Dou
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; State Key Laboratory of Cardiovascular Disease, Beijing, China.
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Liu R, Ren Y, Hou T, Liang X, Dong Y, Wang Y, Cong L, Wang X, Qin Y, Ren J, Sindi S, Tang S, Du Y, Qiu C. Associations of sleep timing and time in bed with dementia and cognitive decline among Chinese older adults: A cohort study. J Am Geriatr Soc 2022; 70:3138-3151. [PMID: 36128778 DOI: 10.1111/jgs.18042] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 06/28/2022] [Accepted: 07/04/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND The longitudinal associations of sleep timing and time in bed (TIB) with dementia and cognitive decline in older adults are unclear. METHODS This population-based cohort study used data from 1982 participants who were aged ≥60 years, free of dementia, and living in rural communities in western Shandong, China. At the baseline (2014) and follow-up (2018) examinations, sleep parameters were assessed using standard questionnaires. Cognitive function was measured using the Mini-Mental State Examination (MMSE). Dementia was diagnosed following the DSM-IV criteria, and the NIA-AA criteria for Alzheimer disease (AD). Data were analyzed using restricted cubic splines, Cox proportional-hazards models, and general linear models. RESULTS During the mean follow-up of 3.7 years, dementia was diagnosed in 97 participants (68 with AD). Restricted cubic spline curves showed J-shaped associations of sleep duration, TIB, and rise time with dementia risk, and a reverse J-shaped association with mid-sleep time. When sleep parameters were categorized into tertiles, the multivariable-adjusted hazard ratio (HR) of incident dementia was 1.69 (95%CI 1.01-2.83) for baseline sleep duration >8 hours (vs. 7-8 h), 2.17 (1.22-3.87) for bedtime before 9 p.m. (vs. 10 p.m. or later), and 2.00 (1.23-3.24) for mid-sleep time before 1 a.m. (vs. 1-1.5 a.m.). Early bedtime and mid-sleep time were significantly associated with incident AD (HR range: 2.25-2.51; p < 0.05). Among individuals who were free of dementia at follow-up, baseline long TIB, early bedtime and mid-sleep time, early and late rise time, and prolonged TIB and advanced bedtime and mid-sleep time from baseline to follow-up were associated with a greater decline in MMSE score (p < 0.05). These associations with cognitive decline were statistically evident mainly among men or participants who were aged 60-74 years. CONCLUSIONS Long TIB and early sleep timing are associated with an increased risk of dementia, and the associations with greater cognitive decline are evident only among older people aged 60-74 years and men.
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Affiliation(s)
- Rui Liu
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, People's Republic of China.,Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People's Republic of China
| | - Yifei Ren
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, People's Republic of China.,Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People's Republic of China
| | - Tingting Hou
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, People's Republic of China.,Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People's Republic of China.,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, People's Republic of China
| | - Xiaoyan Liang
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, People's Republic of China.,Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People's Republic of China
| | - Yi Dong
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, People's Republic of China.,Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People's Republic of China
| | - Yongxiang Wang
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, People's Republic of China.,Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People's Republic of China.,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, People's Republic of China
| | - Lin Cong
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, People's Republic of China.,Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People's Republic of China.,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, People's Republic of China
| | - Xiang Wang
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, People's Republic of China.,Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People's Republic of China.,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, People's Republic of China
| | - Yu Qin
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People's Republic of China
| | - Juan Ren
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, People's Republic of China.,Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People's Republic of China
| | - Shireen Sindi
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden.,Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.,Neuroepidemiology and Ageing Research Unit, School of Public Health, Imperial College London, London, UK
| | - Shi Tang
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, People's Republic of China.,Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People's Republic of China.,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, People's Republic of China
| | - Yifeng Du
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, People's Republic of China.,Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People's Republic of China.,Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, People's Republic of China
| | - Chengxuan Qiu
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, People's Republic of China.,Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People's Republic of China.,Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
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13
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Kuzmik A, Boltz M, BeLue R, Galvin JE, Arendacs R, Resnick B. Factors Associated With Sleep Quality in Hospitalized Persons With Dementia. Alzheimer Dis Assoc Disord 2022; 36:253-258. [PMID: 36001764 PMCID: PMC9426998 DOI: 10.1097/wad.0000000000000502] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Accepted: 01/25/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND Factors associated with sleep quality have not been well examined in hospitalized older persons with dementia, who are at high risk for impaired sleep. The aim was to identify factors associated with sleep quality among hospitalized persons with dementia. METHODS This secondary analysis used baseline data from a cluster randomized trial. Factors examined included delirium severity, pain, depression, behavioral and psychological symptoms of dementia (BPSD), and daytime physical activity. Multiple stepwise linear regressions evaluated factors related to dimensions of sleep quality (sleep duration, efficiency, latency, and fragmentation; measured by the MotionWatch 8). RESULTS Increased daytime physical activity was associated with higher sleep duration [β=0.164; 95% confidence interval (CI), 0.111-0.717; P=0.008; 7.7% variance] and sleep efficiency (β=0.158; 95% CI, 0.020-0.147; P=0.010; 5.4% variance), and less sleep fragmentation (β=-0.223; 95% CI, -0.251 to -0.077; P<0.001; 10.4% variance). Higher BPSD was significantly associated with prolonged sleep latency (β=0.130; 95% CI, 0.098-2.748; P=0.035; 3.7% variance). CONCLUSION Results suggest the need to encourage daytime physical activity and reduce or manage BPSD to improve sleep quality among hospitalized persons with dementia.
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Affiliation(s)
- Ashley Kuzmik
- College of Nursing, Pennsylvania State University, University Park, PA
| | - Marie Boltz
- College of Nursing, Pennsylvania State University, University Park, PA
| | - Rhonda BeLue
- St. Louis University, Salus Center, St. Louis, MO
| | - James E Galvin
- Comprehensive Center for Brain Health, University of Miami Miller School of Medicine, Boca Raton, FL
| | - Rachel Arendacs
- College of Nursing, Pennsylvania State University, University Park, PA
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14
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Qin Y, Liu R, Wang Y, Tang J, Cong L, Ren J, Tang S, Du Y. Self-Reported Sleep Characteristics Associated with Cardiovascular Disease Among Older Adults Living in Rural Eastern China: A Population-Based Study. Clin Interv Aging 2022; 17:811-824. [PMID: 35611325 PMCID: PMC9124474 DOI: 10.2147/cia.s361876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 05/06/2022] [Indexed: 11/23/2022] Open
Abstract
Purpose To investigate the cross-sectional associations of self-reported sleep characteristics with cardiovascular diseases (CVDs) and cardiovascular multimorbidity in older adults living in rural Eastern China. Patients and Methods This population-based study included 4618 participants (age ≥65 years; 56.5% women) living in rural Eastern China. In March–September 2018, data were collected through interviews, clinical examinations, neuropsychological testing, and laboratory tests. Sleep parameters were assessed using the Pittsburgh Sleep Quality Index, Epworth Sleepiness Score, and Berlin questionnaire. Coronary heart disease (CHD), heart failure (HF), and stroke were defined according to in-person interviews, clinical and neurological examinations, and electrocardiogram examination. Data were analyzed using logistic regression and restricted cubic spline regression. Results CHD was diagnosed in 991 participants, HF in 135 participants, and stroke in 696 participants. The multivariable-adjusted odds ratio (OR) of CHD was 1.27 (95% CI, 1.09–1.49) for sleep duration ≤6 hours/night (vs >6–8 hours/night), 1.40 (1.20–1.62) for poor sleep quality, and 1.22 (1.04–1.43) for high risk for obstructive sleep apnea (OSA). The OR of HF was 2.16 (1.38–3.39) for sleep duration >8 hours/night, and 1.76 (1.22–2.54) for high risk for OSA. In addition, the OR of stroke was 1.23 (1.04–1.46) for poor sleep quality, 1.32 (1.01–1.72) for excessive daytime sleepiness, and 1.42 (1.19–1.70) for high risk for OSA. The associations of poor sleep with cardiovascular multimorbidity (≥2 CVDs) were stronger than that of sleep problems with a single CVD. Conclusion Extreme sleep duration, high risk for OSA, and other sleep problems were associated with CVDs, especially cardiovascular multimorbidity.
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Affiliation(s)
- Yu Qin
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People’s Republic of China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
| | - Rui Liu
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People’s Republic of China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
| | - Yongxiang Wang
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People’s Republic of China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, People’s Republic of China
| | - Jiyou Tang
- Department of Neurology, The First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong, People’s Republic of China
| | - Lin Cong
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People’s Republic of China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, People’s Republic of China
| | - Juan Ren
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People’s Republic of China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
| | - Shi Tang
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People’s Republic of China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, People’s Republic of China
| | - Yifeng Du
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People’s Republic of China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, People’s Republic of China
- Correspondence: Yifeng Du; Shi Tang, Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, No. 324 Jingwuweiqi Road, Jinan, Shandong, 250021, People’s Republic of China, Tel +86 531 68776354; +86-18678780912, Fax +86 531 68776354, Email ;
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