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Yang Q, Li S, Yang Y, Lin X, Yang M, Tian C, Mao J. Prolonged sleep duration as a predictor of cognitive decline: A meta-analysis encompassing 49 cohort studies. Neurosci Biobehav Rev 2024; 164:105817. [PMID: 39032844 DOI: 10.1016/j.neubiorev.2024.105817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Revised: 07/05/2024] [Accepted: 07/16/2024] [Indexed: 07/23/2024]
Abstract
Despite numerous studies have explored the association between sleep duration and cognition, the link between sleep duration trajectories and cognition remains underexplored. This systematic review aims to elucidate this correlation. We analyzed 55 studies from 14 countries, comprising 36 studies focusing on sleep duration, 20 on insomnia, and 13 on hypersomnia. A total of 10,767,085 participants were included in 49 cohort studies with a mean follow-up duration of 9.1 years. A non-linear association between sleep duration and cognitive decline was identified. Both long (risk ratio (RR):1.35, 95 % confidence intervals (CIs):1.23-1.48) and short sleep durations (RR: 1.12, 95 % CIs:1.03-1.22) were associated with an elevated risk of cognitive decline compared to moderate sleep duration. Additionally, hypersomnia (RR:1.26, 95 % CIs: 1.15-1.39) and insomnia (RR: 1.16, 95 % CIs: 1.002-1.34) were also linked to an increased risk. Moreover, prolonged sleep duration posed a higher risk of cognitive decline than stable sleep duration (RR:1.42, 95 % CIs:1.27-1.59). Importantly, transitioning from short or moderate to long sleep duration, as well as persistent long sleep duration, exhibited higher RRs for cognitive decline (RRs: 1.94, 1.40, and 1.28, respectively) compared to persistent moderate sleep duration. Our findings underscore the significance of prolonged sleep duration, alongside short and long sleep durations, with an elevated risk of cognitive decline. The association is tied to the degree of sleep duration changes. Our study highlights the importance of considering changes in sleep patterns over time, not just static sleep durations.
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Affiliation(s)
- Qing Yang
- Department of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Department of neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Suya Li
- Department of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yang Yang
- Department of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xuechun Lin
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Mengshu Yang
- School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Chong Tian
- School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
| | - Jing Mao
- School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
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Borelli WV, Noll G, Tonon AC, Leotti VB, Castilhos RM, Zimmer ER. Poor sleep quality is an important modifiable risk factor for dementia: Population attributable fraction of poor sleep in a Brazilian population-based study. Int J Geriatr Psychiatry 2024; 39:e6109. [PMID: 38831255 DOI: 10.1002/gps.6109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 05/23/2024] [Indexed: 06/05/2024]
Abstract
OBJECTIVES The populational impact of poor sleep quality and the risk of dementia is unclear. We analyzed the Population Attributable Fraction (PAF) of poor sleep quality for dementia, and its association with other two sleep parameters through self-reported and single questions collected in a large-scale Brazilian cohort (ELSI-Brazil). METHODS A subset of the ELSI-Brazil with complete responses to sleep quality was retrieved for this study. This is a large representative sample of the Brazilian elderly population with an extensive assessment of sociodemographic and health risk variables. Prevalence of poor sleep quality was estimated according to the complex sample design, and its PAF was measured using a meta-analytic relative risk. A total of 6024 (56.3% women, mean 62.8 ± 9.5 years of age) individuals had complete responses. RESULTS The prevalence of poor sleep quality was 24.9% (95%CI 23%-26%), and the PAF of poor sleep quality including other 10 modifiable risk factors of dementia was 52.5% in Brazil. Secondary analyses identified that sleep quality, restorative sleep and sleep drug usage varied considerably according to age ranges, race, and gender. CONCLUSIONS Poor sleep quality is an important populational modifiable risk factor for dementia in Brazil. Targeted interventions may provide an important impact in preventing dementia in low- and middle-income countries.
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Affiliation(s)
- Wyllians Vendramini Borelli
- Pharmacology and Therapeutics Research Program, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- Cognitive and Behavioral Neurology Center, Neurology Service, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
| | - Giovani Noll
- Cognitive and Behavioral Neurology Center, Neurology Service, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
- Graduate Program in Medicine: Medical Sciences, School of Medicine, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - André C Tonon
- Laboratório de Cronobiologia e Sono, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
- Graduate Program in Psychiatry and Behavioral Sciences, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Vanessa Bielefeldt Leotti
- Centros de Pesquisa Clínica e Experimental, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
- Departamento de Estatística, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Raphael Machado Castilhos
- Cognitive and Behavioral Neurology Center, Neurology Service, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
| | - Eduardo R Zimmer
- Department of Pharmacology, Graduate Program in Biological Sciences: Biochemistry (PPGBioq) and Pharmacology and Therapeutics (PPGFT), Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- McGill Centre for Studies in Aging, Verdun, Quebec, Canada
- Brain Institute of Rio Grande do Sul, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
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Miyata J, Muraki I, Iso H, Yamagishi K, Yasuda N, Sawada N, Inoue M, Tsugane S. Sleep duration, its change, and risk of dementia among Japanese: The Japan Public Health Center-based Prospective Study. Prev Med 2024; 180:107884. [PMID: 38309314 DOI: 10.1016/j.ypmed.2024.107884] [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: 09/13/2023] [Revised: 01/30/2024] [Accepted: 01/31/2024] [Indexed: 02/05/2024]
Abstract
OBJECTIVE Previous findings on the association between sleep duration, changes in sleep duration, and long-term dementia risk were mixed. Thus, we aimed to investigate the association between midlife sleep duration, its change, and dementia. METHODS We recruited 41,731 Japanese (40-71 years) and documented their habitual sleep duration at baseline (1990-1994) and a 5-year follow-up survey. Changes in sleep duration were calculated as differences between baseline and 5-year measurements. We identified dementia using the Long-Term Care Insurance system (2007-2016). Hazard ratios (HRs) and 95% confidence intervals (CIs) of dementia were calculated using the area-stratified Cox model. RESULTS During 360,389 person-years, 4621 participants exhibited dementia. The multivariable HRs of dementia compared with 7 h of sleep were 1.13 (95% CI: 0.98-1.30) for 3-5 h, 0.93 (0.85-1.02) for 6 h, 1.06 (0.99-1.14) for 8 h, 1.13 (1.01-1.27) for 9 h, and 1.40 (1.21-1.63) for 10-12 h with a J-shaped fashion (p for linear < 0.001 and quadratic < 0.001). For its change, the HRs compared with no change were 1.02 (0.90-1.16) for decreased ≥2 h, 0.95 (0.88-1.03) for decreased 1 h, 1.00 (0.91-1.09) for increased 1 h, and 1.37 (1.20-1.58) for increased ≥2 h. The positive association for decreased sleep duration was observed in individuals with an initial sleep duration of ≤7 h, but not in those with ≥8 h (p for interaction = 0.007). CONCLUSIONS Long and increased sleep duration was associated with a higher risk of dementia.
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Affiliation(s)
- Jun Miyata
- Department of Island and Community Medicine, Nagasaki University Graduate School of Biomedical Sciences, 205 Yoshikugicho, Goto, Nagasaki 853-8691, Japan; Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Isao Muraki
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Hiroyasu Iso
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan; Institute for Global Health Policy Research, National Center for Global Health and Medicine, 1-21-1 Toyama, Shinjuku, Tokyo 162-8655, Japan; Department of Public Health Medicine, Institute of Medicine, and Health Services Research and Development Center, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8575, Japan.
| | - Kazumasa Yamagishi
- Department of Public Health Medicine, Institute of Medicine, and Health Services Research and Development Center, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8575, Japan
| | - Nobufumi Yasuda
- Department of Public Health, Kochi University Medical School, Kohasu, Okoh-cho, Nankoku, Kochi 783-8505, Japan
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institution for Cancer Control, 5-1-1 Tsukiji, Chuo, Tokyo 104-0045, Japan
| | - Manami Inoue
- Division of Cohort Research, National Cancer Center Institution for Cancer Control, 5-1-1 Tsukiji, Chuo, Tokyo 104-0045, Japan; Division of Prevention, National Cancer Center Institution for Cancer Control, 5-1-1 Tsukiji, Chuo, Tokyo 104-0045, Japan
| | - Shoichiro Tsugane
- Division of Cohort Research, National Cancer Center Institution for Cancer Control, 5-1-1 Tsukiji, Chuo, Tokyo 104-0045, Japan; International University of Health and Welfare Graduate School of Public Health, 4-1-26 Akasaka, Minato, Tokyo 107-8402, Japan
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Baril AA, Kojis DJ, Himali JJ, Decarli CS, Sanchez E, Johnson KA, El Fakhri G, Thibault E, Yiallourou SR, Himali D, Cavuoto MG, Pase MP, Beiser AS, Seshadri S. Association of Sleep Duration and Change Over Time With Imaging Biomarkers of Cerebrovascular, Amyloid, Tau, and Neurodegenerative Pathology. Neurology 2024; 102:e207807. [PMID: 38165370 PMCID: PMC10834132 DOI: 10.1212/wnl.0000000000207807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 10/13/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Both short and long sleep duration were previously associated with incident dementia, but underlying mechanisms remain unclear. We evaluated how self-reported sleep duration and its change over time associate with (A)myloid, (T)au, (N)eurodegeneration, and (V)ascular neuroimaging markers of Alzheimer disease. METHODS Two Framingham Heart Study overlapping samples were studied: participants who underwent 11C-Pittsburg Compound B amyloid and 18F-flortaucipir tau PET imaging and participants who underwent an MRI. MRI metrics estimated neurodegeneration (total brain volume) and cerebrovascular injuries (white matter hyperintensities [WMHs] volume, covert brain infarcts, free-water [FW] fraction). Self-reported sleep duration was assessed and split into categories both at the time of neuroimaging testing and approximately 13 years before: short ≤6 hours. average 7-8 hours, and long ≥9 hours. Logistic and linear regression models were used to examine sleep duration and neuroimaging metrics. RESULTS The tested cohort was composed of 271 participants (age 53.6 ± 8.0 years; 51% male) in the PET imaging sample and 2,165 participants (age 61.3 ± 11.1 years; 45% male) in the MRI sample. No fully adjusted association was observed between cross-sectional sleep duration and neuroimaging metrics. In fully adjusted models compared with consistently sleeping 7-8 hours, groups transitioning to a longer sleep duration category over time had higher FW fraction (short to average β [SE] 0.0062 [0.0024], p = 0.009; short to long β [SE] 0.0164 [0.0076], p = 0.031; average to long β [SE] 0.0083 [0.0022], p = 0.002), and those specifically going from average to long sleep duration also had higher WMH burden (β [SE] 0.29 [0.11], p = 0.007). The opposite associations (lower WMH and FW) were observed in participants consistently sleeping ≥9 hours as compared with people consistently sleeping 7-8 hours in fully adjusted models (β [SE] -0.43 [0.20], p = 0.028; β [SE] -0.019 [0.004], p = 0.020). Each hour of increasing sleep (continuous, β [SE] 0.12 [0.04], p = 0.003; β [SE] 0.002 [0.001], p = 0.021) and extensive increase in sleep duration (≥2 hours vs 0 ± 1 hour change; β [SE] 0.24 [0.10], p = 0.019; β [SE] 0.0081 [0.0025], p = 0.001) over time was associated with higher WMH burden and FW fraction in fully adjusted models. Sleep duration change was not associated with PET amyloid or tau outcomes. DISCUSSION Longer self-reported sleep duration over time was associated with neuroimaging biomarkers of cerebrovascular pathology as evidenced by higher WMH burden and FW fraction. A longer sleep duration extending over time may be an early change in the neurodegenerative trajectory.
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Affiliation(s)
- Andrée-Ann Baril
- From the Douglas Mental Health University Institute (A.-A.B.), McGill University, Montreal, Quebec, Canada; The Framingham Heart Study (A.-A.B., D.J.K., J.J.H., D.H., M.P.P., A.S.B., S.S.); Boston University School of Public Health (D.J.K., J.J.H.), MA; Boston University School of Medicine (J.J.H., S.S.), MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (J.J.H., S.S.), UT Health San Antonio, TX; UC Davis Center for Neuroscience (C.S.D.), CA; Sunnybrook Research Institute (E.S.), University of Toronto, Ontario, Canada; Harvard Aging Brain Institute (K.A.J.), Harvard Medical School, Boston, MA; Gordon Center for Medical Imaging (G.E.F., E.T.), Radiology Department, Massachusetts General Hospital, Harvard Medical School, Boston; Turner Institute for Brain and Mental Health (S.R.Y., M.G.C., M.P.P.), Monash University, Clayton, Australia; and Harvard T.H. Chan School of Public Health (M.P.P.), Harvard University, Boston, MA
| | - Daniel J Kojis
- From the Douglas Mental Health University Institute (A.-A.B.), McGill University, Montreal, Quebec, Canada; The Framingham Heart Study (A.-A.B., D.J.K., J.J.H., D.H., M.P.P., A.S.B., S.S.); Boston University School of Public Health (D.J.K., J.J.H.), MA; Boston University School of Medicine (J.J.H., S.S.), MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (J.J.H., S.S.), UT Health San Antonio, TX; UC Davis Center for Neuroscience (C.S.D.), CA; Sunnybrook Research Institute (E.S.), University of Toronto, Ontario, Canada; Harvard Aging Brain Institute (K.A.J.), Harvard Medical School, Boston, MA; Gordon Center for Medical Imaging (G.E.F., E.T.), Radiology Department, Massachusetts General Hospital, Harvard Medical School, Boston; Turner Institute for Brain and Mental Health (S.R.Y., M.G.C., M.P.P.), Monash University, Clayton, Australia; and Harvard T.H. Chan School of Public Health (M.P.P.), Harvard University, Boston, MA
| | - Jayandra J Himali
- From the Douglas Mental Health University Institute (A.-A.B.), McGill University, Montreal, Quebec, Canada; The Framingham Heart Study (A.-A.B., D.J.K., J.J.H., D.H., M.P.P., A.S.B., S.S.); Boston University School of Public Health (D.J.K., J.J.H.), MA; Boston University School of Medicine (J.J.H., S.S.), MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (J.J.H., S.S.), UT Health San Antonio, TX; UC Davis Center for Neuroscience (C.S.D.), CA; Sunnybrook Research Institute (E.S.), University of Toronto, Ontario, Canada; Harvard Aging Brain Institute (K.A.J.), Harvard Medical School, Boston, MA; Gordon Center for Medical Imaging (G.E.F., E.T.), Radiology Department, Massachusetts General Hospital, Harvard Medical School, Boston; Turner Institute for Brain and Mental Health (S.R.Y., M.G.C., M.P.P.), Monash University, Clayton, Australia; and Harvard T.H. Chan School of Public Health (M.P.P.), Harvard University, Boston, MA
| | - Charles S Decarli
- From the Douglas Mental Health University Institute (A.-A.B.), McGill University, Montreal, Quebec, Canada; The Framingham Heart Study (A.-A.B., D.J.K., J.J.H., D.H., M.P.P., A.S.B., S.S.); Boston University School of Public Health (D.J.K., J.J.H.), MA; Boston University School of Medicine (J.J.H., S.S.), MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (J.J.H., S.S.), UT Health San Antonio, TX; UC Davis Center for Neuroscience (C.S.D.), CA; Sunnybrook Research Institute (E.S.), University of Toronto, Ontario, Canada; Harvard Aging Brain Institute (K.A.J.), Harvard Medical School, Boston, MA; Gordon Center for Medical Imaging (G.E.F., E.T.), Radiology Department, Massachusetts General Hospital, Harvard Medical School, Boston; Turner Institute for Brain and Mental Health (S.R.Y., M.G.C., M.P.P.), Monash University, Clayton, Australia; and Harvard T.H. Chan School of Public Health (M.P.P.), Harvard University, Boston, MA
| | - Erlan Sanchez
- From the Douglas Mental Health University Institute (A.-A.B.), McGill University, Montreal, Quebec, Canada; The Framingham Heart Study (A.-A.B., D.J.K., J.J.H., D.H., M.P.P., A.S.B., S.S.); Boston University School of Public Health (D.J.K., J.J.H.), MA; Boston University School of Medicine (J.J.H., S.S.), MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (J.J.H., S.S.), UT Health San Antonio, TX; UC Davis Center for Neuroscience (C.S.D.), CA; Sunnybrook Research Institute (E.S.), University of Toronto, Ontario, Canada; Harvard Aging Brain Institute (K.A.J.), Harvard Medical School, Boston, MA; Gordon Center for Medical Imaging (G.E.F., E.T.), Radiology Department, Massachusetts General Hospital, Harvard Medical School, Boston; Turner Institute for Brain and Mental Health (S.R.Y., M.G.C., M.P.P.), Monash University, Clayton, Australia; and Harvard T.H. Chan School of Public Health (M.P.P.), Harvard University, Boston, MA
| | - Keith A Johnson
- From the Douglas Mental Health University Institute (A.-A.B.), McGill University, Montreal, Quebec, Canada; The Framingham Heart Study (A.-A.B., D.J.K., J.J.H., D.H., M.P.P., A.S.B., S.S.); Boston University School of Public Health (D.J.K., J.J.H.), MA; Boston University School of Medicine (J.J.H., S.S.), MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (J.J.H., S.S.), UT Health San Antonio, TX; UC Davis Center for Neuroscience (C.S.D.), CA; Sunnybrook Research Institute (E.S.), University of Toronto, Ontario, Canada; Harvard Aging Brain Institute (K.A.J.), Harvard Medical School, Boston, MA; Gordon Center for Medical Imaging (G.E.F., E.T.), Radiology Department, Massachusetts General Hospital, Harvard Medical School, Boston; Turner Institute for Brain and Mental Health (S.R.Y., M.G.C., M.P.P.), Monash University, Clayton, Australia; and Harvard T.H. Chan School of Public Health (M.P.P.), Harvard University, Boston, MA
| | - Georges El Fakhri
- From the Douglas Mental Health University Institute (A.-A.B.), McGill University, Montreal, Quebec, Canada; The Framingham Heart Study (A.-A.B., D.J.K., J.J.H., D.H., M.P.P., A.S.B., S.S.); Boston University School of Public Health (D.J.K., J.J.H.), MA; Boston University School of Medicine (J.J.H., S.S.), MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (J.J.H., S.S.), UT Health San Antonio, TX; UC Davis Center for Neuroscience (C.S.D.), CA; Sunnybrook Research Institute (E.S.), University of Toronto, Ontario, Canada; Harvard Aging Brain Institute (K.A.J.), Harvard Medical School, Boston, MA; Gordon Center for Medical Imaging (G.E.F., E.T.), Radiology Department, Massachusetts General Hospital, Harvard Medical School, Boston; Turner Institute for Brain and Mental Health (S.R.Y., M.G.C., M.P.P.), Monash University, Clayton, Australia; and Harvard T.H. Chan School of Public Health (M.P.P.), Harvard University, Boston, MA
| | - Emma Thibault
- From the Douglas Mental Health University Institute (A.-A.B.), McGill University, Montreal, Quebec, Canada; The Framingham Heart Study (A.-A.B., D.J.K., J.J.H., D.H., M.P.P., A.S.B., S.S.); Boston University School of Public Health (D.J.K., J.J.H.), MA; Boston University School of Medicine (J.J.H., S.S.), MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (J.J.H., S.S.), UT Health San Antonio, TX; UC Davis Center for Neuroscience (C.S.D.), CA; Sunnybrook Research Institute (E.S.), University of Toronto, Ontario, Canada; Harvard Aging Brain Institute (K.A.J.), Harvard Medical School, Boston, MA; Gordon Center for Medical Imaging (G.E.F., E.T.), Radiology Department, Massachusetts General Hospital, Harvard Medical School, Boston; Turner Institute for Brain and Mental Health (S.R.Y., M.G.C., M.P.P.), Monash University, Clayton, Australia; and Harvard T.H. Chan School of Public Health (M.P.P.), Harvard University, Boston, MA
| | - Stephanie R Yiallourou
- From the Douglas Mental Health University Institute (A.-A.B.), McGill University, Montreal, Quebec, Canada; The Framingham Heart Study (A.-A.B., D.J.K., J.J.H., D.H., M.P.P., A.S.B., S.S.); Boston University School of Public Health (D.J.K., J.J.H.), MA; Boston University School of Medicine (J.J.H., S.S.), MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (J.J.H., S.S.), UT Health San Antonio, TX; UC Davis Center for Neuroscience (C.S.D.), CA; Sunnybrook Research Institute (E.S.), University of Toronto, Ontario, Canada; Harvard Aging Brain Institute (K.A.J.), Harvard Medical School, Boston, MA; Gordon Center for Medical Imaging (G.E.F., E.T.), Radiology Department, Massachusetts General Hospital, Harvard Medical School, Boston; Turner Institute for Brain and Mental Health (S.R.Y., M.G.C., M.P.P.), Monash University, Clayton, Australia; and Harvard T.H. Chan School of Public Health (M.P.P.), Harvard University, Boston, MA
| | - Dibya Himali
- From the Douglas Mental Health University Institute (A.-A.B.), McGill University, Montreal, Quebec, Canada; The Framingham Heart Study (A.-A.B., D.J.K., J.J.H., D.H., M.P.P., A.S.B., S.S.); Boston University School of Public Health (D.J.K., J.J.H.), MA; Boston University School of Medicine (J.J.H., S.S.), MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (J.J.H., S.S.), UT Health San Antonio, TX; UC Davis Center for Neuroscience (C.S.D.), CA; Sunnybrook Research Institute (E.S.), University of Toronto, Ontario, Canada; Harvard Aging Brain Institute (K.A.J.), Harvard Medical School, Boston, MA; Gordon Center for Medical Imaging (G.E.F., E.T.), Radiology Department, Massachusetts General Hospital, Harvard Medical School, Boston; Turner Institute for Brain and Mental Health (S.R.Y., M.G.C., M.P.P.), Monash University, Clayton, Australia; and Harvard T.H. Chan School of Public Health (M.P.P.), Harvard University, Boston, MA
| | - Marina G Cavuoto
- From the Douglas Mental Health University Institute (A.-A.B.), McGill University, Montreal, Quebec, Canada; The Framingham Heart Study (A.-A.B., D.J.K., J.J.H., D.H., M.P.P., A.S.B., S.S.); Boston University School of Public Health (D.J.K., J.J.H.), MA; Boston University School of Medicine (J.J.H., S.S.), MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (J.J.H., S.S.), UT Health San Antonio, TX; UC Davis Center for Neuroscience (C.S.D.), CA; Sunnybrook Research Institute (E.S.), University of Toronto, Ontario, Canada; Harvard Aging Brain Institute (K.A.J.), Harvard Medical School, Boston, MA; Gordon Center for Medical Imaging (G.E.F., E.T.), Radiology Department, Massachusetts General Hospital, Harvard Medical School, Boston; Turner Institute for Brain and Mental Health (S.R.Y., M.G.C., M.P.P.), Monash University, Clayton, Australia; and Harvard T.H. Chan School of Public Health (M.P.P.), Harvard University, Boston, MA
| | - Matthew P Pase
- From the Douglas Mental Health University Institute (A.-A.B.), McGill University, Montreal, Quebec, Canada; The Framingham Heart Study (A.-A.B., D.J.K., J.J.H., D.H., M.P.P., A.S.B., S.S.); Boston University School of Public Health (D.J.K., J.J.H.), MA; Boston University School of Medicine (J.J.H., S.S.), MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (J.J.H., S.S.), UT Health San Antonio, TX; UC Davis Center for Neuroscience (C.S.D.), CA; Sunnybrook Research Institute (E.S.), University of Toronto, Ontario, Canada; Harvard Aging Brain Institute (K.A.J.), Harvard Medical School, Boston, MA; Gordon Center for Medical Imaging (G.E.F., E.T.), Radiology Department, Massachusetts General Hospital, Harvard Medical School, Boston; Turner Institute for Brain and Mental Health (S.R.Y., M.G.C., M.P.P.), Monash University, Clayton, Australia; and Harvard T.H. Chan School of Public Health (M.P.P.), Harvard University, Boston, MA
| | - Alexa S Beiser
- From the Douglas Mental Health University Institute (A.-A.B.), McGill University, Montreal, Quebec, Canada; The Framingham Heart Study (A.-A.B., D.J.K., J.J.H., D.H., M.P.P., A.S.B., S.S.); Boston University School of Public Health (D.J.K., J.J.H.), MA; Boston University School of Medicine (J.J.H., S.S.), MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (J.J.H., S.S.), UT Health San Antonio, TX; UC Davis Center for Neuroscience (C.S.D.), CA; Sunnybrook Research Institute (E.S.), University of Toronto, Ontario, Canada; Harvard Aging Brain Institute (K.A.J.), Harvard Medical School, Boston, MA; Gordon Center for Medical Imaging (G.E.F., E.T.), Radiology Department, Massachusetts General Hospital, Harvard Medical School, Boston; Turner Institute for Brain and Mental Health (S.R.Y., M.G.C., M.P.P.), Monash University, Clayton, Australia; and Harvard T.H. Chan School of Public Health (M.P.P.), Harvard University, Boston, MA
| | - Sudha Seshadri
- From the Douglas Mental Health University Institute (A.-A.B.), McGill University, Montreal, Quebec, Canada; The Framingham Heart Study (A.-A.B., D.J.K., J.J.H., D.H., M.P.P., A.S.B., S.S.); Boston University School of Public Health (D.J.K., J.J.H.), MA; Boston University School of Medicine (J.J.H., S.S.), MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (J.J.H., S.S.), UT Health San Antonio, TX; UC Davis Center for Neuroscience (C.S.D.), CA; Sunnybrook Research Institute (E.S.), University of Toronto, Ontario, Canada; Harvard Aging Brain Institute (K.A.J.), Harvard Medical School, Boston, MA; Gordon Center for Medical Imaging (G.E.F., E.T.), Radiology Department, Massachusetts General Hospital, Harvard Medical School, Boston; Turner Institute for Brain and Mental Health (S.R.Y., M.G.C., M.P.P.), Monash University, Clayton, Australia; and Harvard T.H. Chan School of Public Health (M.P.P.), Harvard University, Boston, MA
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Ruan H, Zheng Y, Yang J, Li L, Zhang M, Wang Z, He S. Changes in daily sleep duration and subsequent risk of mortality among older people. Sleep Med 2023; 101:252-259. [PMID: 36455297 DOI: 10.1016/j.sleep.2022.11.016] [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: 09/24/2022] [Revised: 10/30/2022] [Accepted: 11/14/2022] [Indexed: 11/18/2022]
Abstract
BACKGROUND Single self-reported measures of daily sleep duration are associated with adverse health outcomes; however, the association between changes in daily sleep duration and all-cause mortality has not been thoroughly evaluated among a large group of older people. METHODS Using data from the Chinese Longitudinal Healthy Longevity Surveys, a total of 8588 older participants were included in the present study. Changes in daily sleep duration were assessed using annual changes, and Cox regression analysis examined the association of the annual changes with mortality. RESULTS The median age of the study population was 82.00 (IQR: 72.00, 90.00) years, and 3974 (46.27%) participants were men. During a median follow-up period of 3.81 (IQR: 2.03, 6.74) years, 5100 (59.39%) deaths were recorded. After adjusting for initial daily sleep duration and other confounders, there was a non-linear relationship between annual changes in daily sleep duration and all-cause mortality. Annual changes were not associated with mortality before 0.0 h/year, and mortality risk increased after 0.0 h/year, specially after 1 h/year (adjusted HR: 1.32 per 1-hour/year increment, 95% CI: 1.18-1.47). Compared to the stable group (annual changes between -1 and 1 h), adjusted HRs for mortality were 0.98 (95% CI: 0.89-1.08) for the shorter group (annual decline more than 1 h) and 1.29 (95% CI: 1.19-1.41) for the longer group (annual increase greater than 1 h), respectively. Stratified and sensitivity analyses suggested robustness of the results. CONCLUSIONS The present study suggested there was a non-linear relationship between annual changes in daily sleep duration and all-cause mortality among older people: longer changes were associated with higher mortality; while, shorter changes were not associated with mortality. Specially, mortality risk increased significantly with longer than 1 h of annual changes. The findings highlight the importance of closely monitoring the changes in daily sleep duration among older people.
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Affiliation(s)
- Haiyan Ruan
- Department of Cardiology, West China Hospital of Sichuan University, Chengdu, China; Department of Cardiology, Hospital of Traditional Chinese Medicine, Shuangliu District, Chengdu, China
| | - Yi Zheng
- Department of Cardiology, West China Hospital of Sichuan University, Chengdu, China
| | - Jing Yang
- Maternal and Child Health Hospital, Longquanyi District, Chengdu, China
| | - Liying Li
- Department of Cardiology, West China Hospital of Sichuan University, Chengdu, China
| | - Muxin Zhang
- Department of Cardiology, West China Hospital of Sichuan University, Chengdu, China; Department of Cardiology, First People's Hospital, Longquanyi District, Chengdu, China
| | - Ziqiong Wang
- Department of Cardiology, West China Hospital of Sichuan University, Chengdu, China
| | - Sen He
- Department of Cardiology, West China Hospital of Sichuan University, Chengdu, China.
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Ukawa S, Zhao W, Okabayashi S, Kimura T, Ando M, Wakai K, Tsushita K, Kawamura T, Tamakoshi A. Association between daily sleep duration and the risk of incident dementia according to the presence or absence of diseases among older Japanese individuals in the New Integrated Suburban Seniority Investigation (NISSIN) project. Sleep Med 2022; 100:190-195. [PMID: 36113230 DOI: 10.1016/j.sleep.2022.08.022] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 07/01/2022] [Accepted: 08/25/2022] [Indexed: 01/12/2023]
Abstract
OBJECTIVE This study aimed to investigate the association between daily sleep duration and incident dementia among physically and socially independent older people with/without diseases (hypertension, diabetes mellitus, cardiovascular diseases) in a Japanese age-specific cohort. METHODS We carried out a prospective cohort study including 1954 (1006 men and 948 women) Japanese individuals aged 64/65 years. Information on daily sleep duration, medical status, demographics, and lifestyle characteristics was collected by a baseline questionnaire survey and health checkup (2000-2005). Dates of incident dementia were confirmed using the nationally standardized dementia scale proposed by the Ministry of Health, Labor, and Welfare. A competing risk model was used to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs) for incident dementia. We treated censored cases due to death as competing events. RESULTS During a median of 15.6 years of follow-up, 260 participants reported incident dementia. Compared with participants without diseases and who slept 6-7.9 h/day, those with a shorter daily sleep duration of <6 h/day, presence of disease and shorter, moderate, or longer daily sleep duration ≥8 h/day had an increased risk of incident dementia (HR 1.73; 95% CI 1.04-2.88, HR 1.98; 95% CI 1.14-3.44, HR 1.44; 95% CI 1.03-2.00, and HR 2.09; 95% CI 1.41-3.09, respectively) with a significant interaction between the presence of diseases and sleep duration (p < 0.001). CONCLUSIONS The present findings suggest that habitual sleep duration predicts future risk of dementia.
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Affiliation(s)
- Shigekazu Ukawa
- Department of Social Welfare Science and Clinical Psychology, Osaka Metropolitan University Graduate School of Human Life and Ecology, Osaka, Japan.
| | - Wenjing Zhao
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China
| | - Satoe Okabayashi
- Agency for Health, Safety and Environment, Kyoto University, Kyoto, Japan
| | - Takashi Kimura
- Department of Public Health, Faculty of Medicine, Hokkaido University, Hokkaido, Japan
| | - Masahiko Ando
- Center for Advanced Medicine and Clinical Research, Nagoya University Hospital, Aichi, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Aichi, Japan
| | | | - Takashi Kawamura
- Agency for Health, Safety and Environment, Kyoto University, Kyoto, Japan
| | - Akiko Tamakoshi
- Department of Public Health, Faculty of Medicine, Hokkaido University, Hokkaido, Japan
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Liu W, Wu Q, Wang M, Wang P, Shen N. Prospective association between sleep duration and cognitive impairment: Findings from the China Health and Retirement Longitudinal Study (CHARLS). Front Med (Lausanne) 2022; 9:971510. [PMID: 36148464 PMCID: PMC9485441 DOI: 10.3389/fmed.2022.971510] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 08/15/2022] [Indexed: 11/13/2022] Open
Abstract
Objective The association between sleep duration and cognition are inconclusive. Our study aimed to comprehensively investigate the effects of sleep duration on the risk of cognitive impairment in the middle-aged and older Chinese population. Methods We used the longitudinal cohort data from waves 1–4 (2011–2018) of the China Health and Retirement Longitudinal Study (CHARLS). Self-reported exposures included total sleep duration, nocturnal sleep duration, post-lunch napping, and changes in sleep duration over time according to face-to-face interviews. Cognitive function was assessed by a Chinese version of the Modified Mini-Mental State Examination (MMSE). Results A total of 7,342 eligible participants were included. The mean age was 61.5 ± 6.5 years, and 48.9% (3,588/7,342) were male. We identified a U-shaped association of total sleep duration as well as nocturnal sleep duration with the risk of cognitive impairment. People with 7–8 h of total sleep duration and 6–7 h of nocturnal sleep had the lowest risk of cognitive impairment. Further results showed that post-lunch napping within 2 h was beneficial to cognition and 60 min was optimal. Moreover, analyses of changes in sleep duration further supported that sleeping less or more was harmful to cognition. Notably, those “excessive-change” sleepers (from ≤6 to ≥9 h, or from ≥9 to ≤6 h) had more risks. Conclusions Keeping 7–8 h per day was related to the lowest risk of cognitive impairment in midlife and late life, and an optimal post-lunch napping was 60 min for these stable sleepers. Especially, excessive changes in sleep duration over time led to poorer cognition. Our work highlights the importance of optimal sleep habits to cognitive function. The self-reported sleep measures limited our findings, and further studies are needed for verification.
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Affiliation(s)
- Wenhua Liu
- Clinical Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qingsong Wu
- Department of Scientific Research Management, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Minghuan Wang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Peng Wang
- Institute and Department of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Na Shen
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- *Correspondence: Na Shen,
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Sex Modified the Association between Sleep Duration and worse Cognitive Performance in Chinese Hypertensive Population: Insight from the China H-Type Hypertension Registry Study. Behav Neurol 2022; 2022:7566033. [PMID: 35783996 PMCID: PMC9249484 DOI: 10.1155/2022/7566033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Revised: 05/23/2022] [Accepted: 06/05/2022] [Indexed: 11/26/2022] Open
Abstract
Objectives Cognitive decline could be seen as the sign of preclinical phase of dementia, which was found to be sex differentiated. Previous studies had discovered that there might be some link between abnormal sleep duration and cognitive performance. Additionally, hypertension was found to be one of the important risk factors for cognitive decline and abnormal sleep duration was also a significant risk factor for hypertension. Therefore, the purpose of this study was to investigate sex differences in the association of sleep duration with cognitive performance and to further explore potential effect modifiers that may exist. Methods Data analyzed in this study was from the China H-type Hypertension Registry Study. Sleep duration was assessed with a sleep questionnaire and categorized as <5 hours, 5-8 hours, and ≥8 hours. Cognitive performance was evaluated with the Mini-Mental State Examination (MMSE). Result A total of 9527 subjects were included. The average age was 63.7 ± 9.8 years. Linear regression analyses showed that the association between long sleep duration (≥8 h) and MMSE score adjusting for pertinent covariables was stronger in female (β = −0.95, 95% CI: -1.23 to -0.68, P < 0.001) than in male (β = −0.29, 95% CI: -0.53 to -0.06, P = 0.013). Furthermore, there was a significant interaction between sleep duration and age on cognitive performance only in female. Conclusion In summary, this study found that long sleep duration (≥8 h) was associated with poorer cognitive performance. Furthermore, this association was more pronounced in female than in male, especially in older female.
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Risk Factors of Long-Term Care Insurance Certification in Japan: A Scoping Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19042162. [PMID: 35206350 PMCID: PMC8872097 DOI: 10.3390/ijerph19042162] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 01/25/2022] [Accepted: 02/11/2022] [Indexed: 02/06/2023]
Abstract
This study aimed to review evidence on future long-term care associated with pre-existing factors among community-dwelling Japanese older adults. We systematically searched cohort and nested case–control studies published between 2000 and 2019 that assessed long-term care certification using the PubMed, CINAHL, and EMBASE databases. The relationship between long-term care insurance information and risk factors was investigated. The protocol was registered with the Open Science Framework. We extracted 91 studies for synthesis, including 84 prospective cohort studies, 1 retrospective cohort study, and 6 nested case–control studies. Certification for long-term care was classified into two endpoints: onset of functional disability and dementia. There were 72 studies that used long-term care certification as a proxy for functional disability, and 22 used long-term care information to indicate the onset of dementia. Common risk factors related to functional disability were physical function, frailty, and oral condition. Motor function and nutritional status were common risk factors for dementia. We found consistent associations between premorbid risk factors and functional disability and dementia. The accumulation of evidence on the incidence of long-term care and associated factors can aid the development of preventive measures. Future studies should aim to integrate this evidence.
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10
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Stephens ER, Sarangi A, Gude J. Short sleep duration and dementia: a narrative review. Proc AMIA Symp 2022; 35:328-331. [DOI: 10.1080/08998280.2022.2026123] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
Affiliation(s)
- Emily R. Stephens
- Texas Tech University Health Sciences Center, School of Medicine, Lubbock, Texas
| | - Ashish Sarangi
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas
| | - Jayasudha Gude
- Hackensack Meridian Health – Jersey Shore University Medical School, Neptune, New Jersey
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11
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Kuwahara K, Yamamoto S, Honda T, Nakagawa T, Ishikawa H, Hayashi T, Mizoue T. Improving and maintaining healthy lifestyles are associated with a lower risk of diabetes: A large cohort study. J Diabetes Investig 2021; 13:714-724. [PMID: 34786886 PMCID: PMC9017641 DOI: 10.1111/jdi.13713] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Revised: 11/12/2021] [Accepted: 11/15/2021] [Indexed: 12/29/2022] Open
Abstract
AIMS It is well known that healthy lifestyles measured at one time-point are inversely associated with diabetes risk. The impact of transitions in combined lifestyles in real settings remains unknown. MATERIALS AND METHODS The trajectory patterns of combined lifestyles over three years were identified using group-based trajectory modeling in 26,647 adults in Japan. Two types of indices (not having the unhealthy lifestyle [easy goal] and having healthiest lifestyles [challenging goal]) were developed using five lifestyle factors: smoking, alcohol consumption, exercise, sleep duration, and body weight control. This index was calculated using the yearly total score (0-5; higher score indicated healthier lifestyles). Diabetes was defined by high plasma glucose level, high hemoglobin A1c level, and self-report. RESULTS Five trajectory patterns were identified for each index and it was shown that healthier patterns are associated with a lower risk of type 2 diabetes during 6.6 years of average follow-up. For example, with a challenging-goal, compared with a persistently very unhealthy pattern, the adjusted hazard ratios (95% confidence intervals) were 0.65 (0.59, 0.73), 0.50 (0.39, 0.64), 0.43 (0.38, 0.48), and 0.33 (0.27, 0.41) for 'persistently unhealthy', 'improved from unhealthy to moderately healthy', 'persistently moderately healthy', and 'persistently mostly healthy' patterns, respectively. CONCLUSIONS Our data reinforce the importance of improving and maintaining health-related lifestyles to prevent diabetes.
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Affiliation(s)
- Keisuke Kuwahara
- National Center for Global Health and Medicine, Tokyo, Japan.,Teikyo University Graduate School of Public Health, Tokyo, Japan
| | | | | | | | - Hirono Ishikawa
- Teikyo University Graduate School of Public Health, Tokyo, Japan
| | | | - Tetsuya Mizoue
- National Center for Global Health and Medicine, Tokyo, Japan
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12
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Zhu Q, You Y, Fan L, Fan H. Associations between sleep duration patterns and cognitive decline trajectories in older Chinese adults. Aging Clin Exp Res 2021; 33:3057-3063. [PMID: 33837933 DOI: 10.1007/s40520-021-01851-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 03/30/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND Abnormal sleep duration has been identified as a risk factor for cognitive decline. However, most studies have measured sleep duration and cognitive function at a single time point, while both tend to decrease with age. AIMS This study aimed to investigate the association between changes in sleep duration patterns and cognitive trajectories in older adults. METHODS Using longitudinal data (2005-2014) from the Chinese Longitudinal Healthy Longevity Survey, a total of 4347 subjects were included in this study. Cognitive function was measured with the Chinese version of the Mini-Mental State Examination. Group-based trajectory models were used to identify the trajectories of sleep duration and cognitive decline within the study sample as the participants aged. Furthermore, the association between sleep duration patterns and cognitive trajectories was examined by multinomial logistic regression analysis. RESULTS Using the medium-stable sleep duration pattern as a reference, the trajectory with a long and increased sleep duration pattern was more likely to be associated with the slight cognitive decline trajectory (OR = 1.80; 95% CI 1.31-2.44). Persistent short sleep was associated with a decreased likelihood of having a rapid cognitive decline trajectory (OR = 0.32; 95% CI 0.12-0.75). DISCUSSION Changes in sleep duration over time were independently associated with cognitive decline and may be a marker of cognitive decline. CONCLUSIONS Tracking of sleep duration over time in older adults may provide a useful insight for prevention of cognitive decline, and the increased sleep duration should be noticed with greater vigilance.
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Affiliation(s)
- Qi Zhu
- Department of Preventive Medicine, North Sichuan Medical College, Fujiang Road, Shunqing, Nanchong, 234, Sichuan, China.
| | - Yueyue You
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Lin Fan
- Department of Indoor Environment and Health Monitoring, China CDC Key Laboratory of Environment and Population Health, Chinese Center for Disease Control and Prevention, National Institute of Environmental Health, Beijing, China
| | - Hui Fan
- Department of Preventive Medicine, North Sichuan Medical College, Fujiang Road, Shunqing, Nanchong, 234, Sichuan, China.
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Li W, Sun N, Kondracki A, Sun W. Sex, Sleep Duration, and the Association of Cognition: Findings from the China Health and Retirement Longitudinal Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph181910140. [PMID: 34639442 PMCID: PMC8508459 DOI: 10.3390/ijerph181910140] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 09/17/2021] [Accepted: 09/24/2021] [Indexed: 12/24/2022]
Abstract
BACKGROUND We aimed to examine the association between sleep duration and cognitive impairment among elderly Chinese people. METHODS generalized linear modeling was used to analyze the baseline data for adults aged 65 years and over (n = 4785) selected from the 2011 China Health and Retirement Longitudinal Study (CHARLS). The two aspects of cognitive impairment assessed in the study were mental status and memory. Sex-stratified logistic regression models were conducted to identify the effect of sleep duration in the different gender groups. RESULTS of all the participants, 49.8% were females and 32.5% aged 75 years and over. Of the participants, 59.7% had short sleep duration (<7 h/day), and 9.0% of them had long sleep duration (>8 h/day). Compared to normal sleep duration, long sleep duration was associated with lower mental status scores (β = -0.43, p = 0.001) and lower memory scores (β = -0.26, p = 0.006). Long sleep duration was associated with lower mental status in both men (β = -0.37, p = 0.033) and women (β = -0.46, p = 0.025), however, only in men was long sleep duration found to be associated with low memory scores (β = -0.26, p = 0.047). CONCLUSIONS Our study showed that long sleep duration was significantly associated with poorer mental status and memory scores in elderly Chinese people. Paying greater attention to the effects of sleep patterns on the risk of cognitive decline may yield practical implications for dementia prevention and health promotion, especially among older women with lower educational attainment, living in rural areas, and those who have long sleep duration.
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Affiliation(s)
- Wei Li
- Department of Epidemiology, Robert Stempel College of Public Health, Florida International University, Miami, FL 33199, USA; (W.L.); (N.S.)
| | - Ning Sun
- Department of Epidemiology, Robert Stempel College of Public Health, Florida International University, Miami, FL 33199, USA; (W.L.); (N.S.)
| | - Anthony Kondracki
- Department of Community Medicine, School of Medicine, Mercer University, Savannah, GA 31404, USA;
| | - Wenjie Sun
- School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA
- Correspondence: ; Tel.: +50-498-842-23
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Abstract
Insomnia is an important but widely ignored health problem in modern society. Despite unequivocal evidence on its large prevalence, health and social impacts, comorbidities, and various pharmacologic and nonpharmacologic (behavioral and device-based) approaches, its effective management is still difficult and often incomplete. This article discusses the role of insomnia in modern societies, newer complicating factors, and its overall social and public health burden. Acute insomnia and sleep difficulties during pandemic and confinement are reviewed. The article also focuses on newer developments accumulating in the field of insomnia and possible future trends.
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Affiliation(s)
- Samson G Khachatryan
- Department of Neurology and Neurosurgery, National Institute of Health, Ministry of Health, Titogradyan 14, Yerevan 0087, Armenia; Sleep and Movement Disorders Center, Somnus Neurology Clinic, Titogradyan 14, Yerevan 0087, Armenia.
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Sabia S, Fayosse A, Dumurgier J, van Hees VT, Paquet C, Sommerlad A, Kivimäki M, Dugravot A, Singh-Manoux A. Association of sleep duration in middle and old age with incidence of dementia. Nat Commun 2021; 12:2289. [PMID: 33879784 PMCID: PMC8058039 DOI: 10.1038/s41467-021-22354-2] [Citation(s) in RCA: 250] [Impact Index Per Article: 83.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 03/09/2021] [Indexed: 01/10/2023] Open
Abstract
Sleep dysregulation is a feature of dementia but it remains unclear whether sleep duration prior to old age is associated with dementia incidence. Using data from 7959 participants of the Whitehall II study, we examined the association between sleep duration and incidence of dementia (521 diagnosed cases) using a 25-year follow-up. Here we report higher dementia risk associated with a sleep duration of six hours or less at age 50 and 60, compared with a normal (7 h) sleep duration, although this was imprecisely estimated for sleep duration at age 70 (hazard ratios (HR) 1.22 (95% confidence interval 1.01-1.48), 1.37 (1.10-1.72), and 1.24 (0.98-1.57), respectively). Persistent short sleep duration at age 50, 60, and 70 compared to persistent normal sleep duration was also associated with a 30% increased dementia risk independently of sociodemographic, behavioural, cardiometabolic, and mental health factors. These findings suggest that short sleep duration in midlife is associated with an increased risk of late-onset dementia.
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Affiliation(s)
- Séverine Sabia
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseases, Paris, France.
- Department of Epidemiology and Public Health, University College London, London, UK.
| | - Aurore Fayosse
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseases, Paris, France
| | - Julien Dumurgier
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseases, Paris, France
- Université de Paris, Inserm U1144, Cognitive Neurology Center, GHU APHP Nord Lariboisière - Fernand Widal Hospital, Paris, France
| | | | - Claire Paquet
- Université de Paris, Inserm U1144, Cognitive Neurology Center, GHU APHP Nord Lariboisière - Fernand Widal Hospital, Paris, France
| | - Andrew Sommerlad
- Division of Psychiatry, University College London, London, UK
- Camden and Islington NHS Foundation Trust, London, UK
| | - Mika Kivimäki
- Department of Epidemiology and Public Health, University College London, London, UK
- Clinicum, University of Helsinki, Helsinki, Finland
| | - Aline Dugravot
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseases, Paris, France
| | - Archana Singh-Manoux
- Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseases, Paris, France
- Department of Epidemiology and Public Health, University College London, London, UK
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16
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Lu Y, Matsuyama S, Tanji F, Otsuka T, Tomata Y, Tsuji I. Social Participation and Healthy Aging among the Elderly Japanese: the Ohsaki Cohort 2006 Study. J Gerontol A Biol Sci Med Sci 2021; 77:106-113. [PMID: 33837413 DOI: 10.1093/gerona/glab101] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Our study examined the association between social participation and healthy aging using a community-based cohort study among Japanese elderly. METHODS This prospective study was conducted in Ohsaki City, Japan, and included 7,226 subjects aged ≥65 years at the baseline survey in 2006. We obtained information on frequency of participation in three types of community activities (i.e. neighborhood activities, hobbies, and volunteer activities) at baseline. Exposure was measured by the number of types of community activities participated in and subjects were categorized into four groups (i.e. none, one type, two types, and three types). The primary outcome was healthy aging as assessed by a questionnaire survey conducted in 2017, and was defined as meeting the following four criteria: free of disability, free of depression, high health-related quality of life, and high life satisfaction. We used multiple logistic regression models to calculate the corresponding odds ratios (ORs) and 95% confidence intervals (95%CIs). RESULTS During 11 years of follow-up, 574 (7.9%) subjects attained healthy aging. Compared with subjects not participating in any activity, the multivariable-adjusted ORs (95%CIs) were 1.90 (1.40, 2.59) for those participating in one type, 2.49 (1.84, 3.38) for two types, and 3.06 (2.30, 4.07) for three types (P for trend <.0001). Furthermore, for each type of community activity, a higher frequency of participation was related to higher probability of healthy aging. CONCLUSIONS Our study suggests that social participation is associated with the promotion of healthy aging, and that the benefits were observed across different types of community activities.
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Affiliation(s)
- Yukai Lu
- Division of Epidemiology, Department of Health Informatics and Public Health, Tohoku University School of Public Health, Graduate School of Medicine, Sendai, Japan
| | - Sanae Matsuyama
- Division of Epidemiology, Department of Health Informatics and Public Health, Tohoku University School of Public Health, Graduate School of Medicine, Sendai, Japan
| | - Fumiya Tanji
- Faculty of Nursing, Japanese Red Cross Akita College of Nursing, Akita, Japan
| | - Tatsui Otsuka
- Division of Epidemiology, Department of Health Informatics and Public Health, Tohoku University School of Public Health, Graduate School of Medicine, Sendai, Japan
| | - Yasutake Tomata
- Division of Epidemiology, Department of Health Informatics and Public Health, Tohoku University School of Public Health, Graduate School of Medicine, Sendai, Japan
| | - Ichiro Tsuji
- Division of Epidemiology, Department of Health Informatics and Public Health, Tohoku University School of Public Health, Graduate School of Medicine, Sendai, Japan
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Wu J, Cheng GHL, Sheng LT, Feng L, Yuan JM, Chee M, Pan A, Koh WP. Prospective associations between change in sleep duration and cognitive impairment: Findings from the Singapore Chinese Health Study. J Affect Disord 2021; 281:125-130. [PMID: 33316717 DOI: 10.1016/j.jad.2020.12.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Revised: 11/30/2020] [Accepted: 12/03/2020] [Indexed: 10/22/2022]
Abstract
BACKGROUND The relation of changes in sleep duration with risk of cognitive impairment are inconclusive. This study evaluated the prospective relationships of changes in sleep duration with risk of cognitive impairment in Singapore Chinese. METHODS We used data from 16,948 Chinese men and women who were aged 45-74 years at baseline (1993-1998) during recruitment into the Singapore Chinese Health Study cohort. Daily sleep duration was assessed at baseline, follow-up 2 (2006 to 2010) and follow-up 3 interviews (2014-2016). Cognitive function was evaluated with a Singapore-Modified Mini-Mental State Examination at follow-up 3 interviews when participants were 61-96 years old. Multivariable logistic regression models were used to calculate odd ratios (ORs) and 95% confidence intervals (95% CIs) for cognitive impairment. RESULTS Of the 16,948 participants, 14.4% were defined to have cognitive impairment. Compared with 7 h/day sleep at both baseline and follow-up 2, the OR (95% CI) for cognitive impairment was 1.50 (1.04-2.16) for those who maintained long sleep duration (≥9 h/day), 2.18 (1.37-3.45) for those who prolonged sleep from short duration (≤5 h/day) to long duration (≥9 h/day), and 1.55 (1.20-2.02) for those who prolonged sleep from recommended duration (7 h/day) to long duration. The highest risk was observed in those who shortened sleep from long to short duration (2.93, 1.35-6.34). LIMITATIONS Measures of sleep were self-reported. CONCLUSIONS Substantial changes in sleep duration over time were associated with higher risks of cognitive impairment. The findings underscore the importance of maintaining optimal sleep duration for the prevention of cognitive impairment.
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Affiliation(s)
- Jing Wu
- Department of Epidemiology and Biostatistics, and Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Grand H-L Cheng
- School of Arts and Social Sciences, The Open University of Hong Kong, Hong Kong, China
| | - Li-Ting Sheng
- Department of Epidemiology and Biostatistics, and Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Lei Feng
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jian-Min Yuan
- UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA; Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Michael Chee
- Centre for Cognitive Neuroscience, Duke-NUS Medical School Singapore, Singapore
| | - An Pan
- Department of Epidemiology and Biostatistics, and Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
| | - Woon-Puay Koh
- Health Services and Systems Research, Duke-NUS Medical School Singapore, Singapore; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
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Lu Y, Sugawara Y, Matsuyama S, Tsuji I. Association between Long-term Weight Change since Midlife and Risk of Incident Disabling Dementia among Elderly Japanese: the Ohsaki Cohort 2006 Study. J Epidemiol 2020; 32:237-243. [PMID: 33390463 PMCID: PMC8979918 DOI: 10.2188/jea.je20200260] [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] [Indexed: 11/18/2022] Open
Abstract
Background Both weight loss and cognitive impairment are common in late-life, but it remains unknown whether weight change is associated with risk of incident dementia among elderly Japanese. Our study aimed to investigate the association between long-term weight change since midlife and risk of incident disabling dementia using a community-based cohort study of elderly Japanese. Methods In 2006, we conducted a cohort study of 6,672 disability-free Japanese adults aged ≥65 years. In both 1994 and 2006, the participants reported their weight using a self-reported questionnaire. Based on weight obtained at these two time points, participants were classified into: stable weight (−1.4 to +1.4 kg), weight gain (≥+1.5 kg), and weight loss of −2.4 to −1.5 kg, −3.4 to −2.5 kg, −4.4 to −3.5 kg, −5.4 to −4.5 kg, and ≥−5.5 kg. Incident disabling dementia was retrieved from the public Long-term Care Insurance database. Participants were followed-up for 5.7 years (between April 2007 and November 2012). Cox proportional hazards model was used to estimate multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for incident disabling dementia. Results During 32,865 person-years of follow-up, 564 participants were ascertained as having incident disabling dementia. Compared with stable weight, the multivariable-adjusted HRs were 0.97 (95% CI, 0.70–1.34) for weight loss of −2.4 to −1.5 kg, 0.98 (95% CI, 0.70–1.38) for −3.4 to −2.5 kg, 1.28 (95% CI, 0.91–1.81) for −4.4 to −3.5 kg, 1.27 (95% CI, 0.92–1.77) for −5.4 to −4.5 kg, and 1.64 (95% CI, 1.29–2.09) for ≥−5.5 kg. Conclusion Our study suggested that a ≥−3.5 kg weight loss over 12 years might be associated with higher risk of incident disabling dementia among elderly Japanese.
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Affiliation(s)
- Yukai Lu
- Division of Epidemiology, Department of Health Informatics and Public Health, Tohoku University School of Public Health, Graduate School of Medicine
| | - Yumi Sugawara
- Division of Epidemiology, Department of Health Informatics and Public Health, Tohoku University School of Public Health, Graduate School of Medicine
| | - Sanae Matsuyama
- Division of Epidemiology, Department of Health Informatics and Public Health, Tohoku University School of Public Health, Graduate School of Medicine
| | - Ichiro Tsuji
- Division of Epidemiology, Department of Health Informatics and Public Health, Tohoku University School of Public Health, Graduate School of Medicine
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19
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Changes in a specific dietary pattern and incident dementia: A prospective cohort study. Clin Nutr 2020; 40:3495-3502. [PMID: 33342602 DOI: 10.1016/j.clnu.2020.11.036] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 11/06/2020] [Accepted: 11/26/2020] [Indexed: 01/18/2023]
Abstract
BACKGROUND & AIMS Previous studies have reported that the Japanese diet is associated with a lower risk of dementia; however, whether changes in adherence to the Japanese diet affects incident dementia remains unknown. We aimed to evaluate the association between long-term changes in adherence to the Japanese diet and risk of incident dementia among older Japanese individuals. METHODS We collected dietary information from community-dwelling older individuals living in Ohsaki city, Japan using a validated 39-item food frequency questionnaire in 1994 and 2006. Adherence to the Japanese diet was assessed using the 8-item Japanese Diet Index (JDI8) score (range: 0 to 8 points). Changes in adherence to the Japanese diet were defined as changes in the JDI8 score from 1994 to 2006. Next, the participants were classified into five groups: great decrease, moderate decrease, no changes [ref.], moderate increase, or great increase. Then, 3146 Japanese adults aged ≥65 years in 2006 were followed-up for 5.7 years. Incident dementia was retrieved from the long-term care insurance database. The Cox proportional hazards model was used to estimate multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (95% CIs) for incident dementia. RESULTS During 14,336 person-years of follow up, 231 cases of dementia were ascertained. Compared with no changes in the JDI8 score, the multivariable-adjusted HRs (95%CIs) were 1.72 (1.13, 2.62) for great decrease, 1.10 (0.73, 1.66) for moderate decrease, 0.82 (0.54, 1.25) for moderate increase, and 0.62 (0.38, 1.02) for great increase (p-trend <0.0001). CONCLUSIONS An increase in adherence to the Japanese diet was associated with a reduced risk of incident dementia, whereas a decrease in adherence was associated with an elevated risk among older Japanese individuals.
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Rockwood K, Andrew MK, Aubertin‐Leheudre M, Belleville S, Bherer L, Bowles SK, Kehler DS, Lim A, Middleton L, Phillips N, Wallace LM. CCCDTD5: Reducing the risk of later-life dementia. Evidence informing the Fifth Canadian Consensus Conference on the Diagnosis and Treatment of Dementia (CCCDTD-5). ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2020; 6:e12083. [PMID: 33204818 PMCID: PMC7656906 DOI: 10.1002/trc2.12083] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 08/14/2020] [Indexed: 11/23/2022]
Abstract
The Fifth Canadian Consensus Conference on the Diagnosis and Treatment of Dementia (CCCDTD-5) was a year-long process to synthesize the best available evidence on several topics. Our group undertook evaluation of risk reduction, in eight domains: nutrition; physical activity; hearing; sleep; cognitive training and stimulation; social engagement and education; frailty; and medications. Here we describe the rationale for the undertaking and summarize the background evidence-this is also tabulated in the Appendix. We further comment specifically on the relationship between age and dementia, and offer some suggestions for how reducing the risk of dementia in the seventh decade and beyond might be considered if we are to improve prospects for prevention in the near term. We draw to attention that a well-specified model of success in dementia prevention need not equate to the elimination of cognitive impairment in late life.
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Affiliation(s)
- Kenneth Rockwood
- Division of Geriatric MedicineDalhousie UniversityHalifaxNova ScotiaCanada
| | - Melissa K. Andrew
- Division of Geriatric MedicineDalhousie UniversityHalifaxNova ScotiaCanada
| | | | - Sylvie Belleville
- Research CenterInstitut Universitaire de Gériatrie de MontréalMontréalQuebecCanada
- Psychology DepartmentUniversité de MontréalMontréalCanada
| | - Louis Bherer
- Département de Médecine, Faculté de médecine, Université de Montréal, Centre de recherche, Institut de cardiologie de Montréal, Centre de rechercheInstitut universitaire de gériatrie de MontréalMontréalQuébecCanada
| | - Susan K. Bowles
- Division of Geriatric MedicineDalhousie UniversityHalifaxNova ScotiaCanada
- College of PharmacyDalhousie UniversityHalifaxNova ScotiaCanada
| | - D Scott Kehler
- School of PhysiotherapyDalhousie UniversityHalifaxNova ScotiaCanada
| | - Andrew Lim
- Division of Neurology, Department of Medicine, Sunnybrook Health Sciences CentreUniversity of TorontoTorontoOntarioCanada
| | - Laura Middleton
- Department of KinesiologyUniversity of WaterlooWaterlooOntarioCanada
| | - Natalie Phillips
- Department of PsychologyConcordia UniversityMontréalQuébecCanada
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Hua J, Sun H, Shen Y. Improvement in sleep duration was associated with higher cognitive function: a new association. Aging (Albany NY) 2020; 12:20623-20644. [PMID: 33082298 PMCID: PMC7655193 DOI: 10.18632/aging.103948] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 08/08/2020] [Indexed: 02/06/2023]
Abstract
Objectives: Previous studies have indicated that improvement in sleep duration might correlate with better cognition. We aimed to examine the associations between changes in sleep duration and cognitive function. Results: A change from short sleep duration (SSD) to moderate sleep duration (MSD) was associated with better global cognition scores (β=0.54, P <0.01). A change from SSD to long sleep duration (LSD) (β=-0.94, P <0.001) or a change from LSD to SSD (β=-1.38, P <0.01) was associated with lower global cognition. For individuals with MSD, a≥2 h increase (β=-0.89, P <0.001) or decrease (β=-0.70, P <0.001) in sleep duration was associated with lower global cognition. Conclusions: For short sleepers, improvement in sleep duration correlated with better cognition. For long sleepers, there was no need to reduce sleep duration. Excessive changes or deviation from the moderate duration was associated with lower cognition. Methods: A total of 10325 individuals aged 45 and older from the China Health and Retirement Longitudinal Study (CHARLS) were included. Self-reported nocturnal sleep duration and cognitive function were assessed in the three waves of CHARLS from 2011 to 2015. Cognitive function was assessed by a global cognition score, which included episodic memory, visuospatial abilities, calculation, orientation and attention.
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Affiliation(s)
- Jianian Hua
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou 215006, Jiangsu Province, PR China.,Medical College of Soochow University, Suzhou 215123, PR China
| | - Hongpeng Sun
- Department of Child Health, School of Public Health, Medical College of Soochow University, Suzhou 215123, PR China
| | - Yueping Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou 215123, PR China
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Montero‐Odasso M, Pieruccini‐Faria F, Ismail Z, Li K, Lim A, Phillips N, Kamkar N, Sarquis‐Adamson Y, Speechley M, Theou O, Verghese J, Wallace L, Camicioli R. CCCDTD5 recommendations on early non cognitive markers of dementia: A Canadian consensus. ALZHEIMERS & DEMENTIA-TRANSLATIONAL RESEARCH & CLINICAL INTERVENTIONS 2020; 6:e12068. [PMID: 33094146 PMCID: PMC7568425 DOI: 10.1002/trc2.12068] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 07/09/2020] [Indexed: 12/21/2022]
Abstract
Introduction Cognitive impairment is the hallmark of Alzheimer's disease (AD) and related dementias. However, motor decline has been recently described as a prodromal state that can help to detect at‐risk individuals. Similarly, sensory changes, sleep and behavior disturbances, and frailty have been associated with higher risk of developing dementia. These clinical findings, together with the recognition that AD pathology precedes the diagnosis by many years, raises the possibility that non‐cognitive changes may be early and non‐invasive markers for AD or, even more provocatively, that treating non‐cognitive aspects may help to prevent or treat AD and related dementias. Methods A subcommittee of the Canadian Consensus Conference on Diagnosis and Treatment of Dementia reviewed areas of emerging evidence for non‐cognitive markers of dementia. We examined the literature for five non‐cognitive domains associated with future dementia: motor, sensory (hearing, vision, olfaction), neuro‐behavioral, frailty, and sleep. The Grading of Recommendations Assessment, Development, and Evaluation system was used to assign the strength of the evidence and quality of the recommendations. We provide recommendations to primary care clinics and to specialized memory clinics, answering the following main questions: (1) What are the non‐cognitive and functional changes associated with risk of developing dementia? and (2) What is the evidence that sensory, motor, behavioral, sleep, and frailty markers can serve as potential predictors of dementia? Results Evidence supported that gait speed, dual‐task gait speed, grip strength, frailty, neuropsychiatric symptoms, sleep measures, and hearing loss are predictors of dementia. There was insufficient evidence for recommending assessing olfactory and vision impairments as a predictor of dementia. Conclusions Non‐cognitive markers can assist in identifying people at risk for cognitive decline or dementia. These non‐cognitive markers may represent prodromal symptoms and several of them are potentially amenable to treatment that might delay the onset of cognitive decline.
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Affiliation(s)
- Manuel Montero‐Odasso
- Gait and Brain LaboratoryParkwood InstituteLawson Health Research InstituteLondonOntarioCanada
- Division of Geriatric MedicineDepartment of MedicineSchulich School of Medicine and DentistryLondonOntarioCanada
- Department of Epidemiology and BiostatisticsUniversity of Western OntarioLondonOntarioCanada
| | - Frederico Pieruccini‐Faria
- Gait and Brain LaboratoryParkwood InstituteLawson Health Research InstituteLondonOntarioCanada
- Division of Geriatric MedicineDepartment of MedicineSchulich School of Medicine and DentistryLondonOntarioCanada
| | - Zahinoor Ismail
- Departments of PsychiatryClinical Neurosciencesand Community Health SciencesHotchkiss Brain Institute and O'Brien Institute for Public HealthUniversity of CalgaryCalgaryAlbertaCanada
| | - Karen Li
- Centre for Research in Human DevelopmentConcordia UniversityMontrealQuebecCanada
- Department of PsychologyConcordia UniversityQuebecCanada
| | - Andrew Lim
- Division of NeurologyDepartment of MedicineSunnybrook Health Sciences CentreTorontoOntarioCanada
| | - Natalie Phillips
- Centre for Research in Human DevelopmentConcordia UniversityMontrealQuebecCanada
- Department of PsychologyConcordia UniversityQuebecCanada
| | - Nellie Kamkar
- Gait and Brain LaboratoryParkwood InstituteLawson Health Research InstituteLondonOntarioCanada
| | - Yanina Sarquis‐Adamson
- Gait and Brain LaboratoryParkwood InstituteLawson Health Research InstituteLondonOntarioCanada
| | - Mark Speechley
- Department of Epidemiology and BiostatisticsUniversity of Western OntarioLondonOntarioCanada
| | - Olga Theou
- School of PhysiotherapyDalhousie UniversityHalifaxNova ScotiaCanada
- Department of MedicineDalhousie UniversityHalifaxNova ScotiaCanada
| | - Joe Verghese
- Department of NeurologyAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Lindsay Wallace
- Department of MedicineDalhousie UniversityHalifaxNova ScotiaCanada
| | - Richard Camicioli
- Division of NeurologyDepartment of MedicineUniversity of AlbertaEdmontonAlbertaCanada
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Livingston G, Huntley J, Sommerlad A, Ames D, Ballard C, Banerjee S, Brayne C, Burns A, Cohen-Mansfield J, Cooper C, Costafreda SG, Dias A, Fox N, Gitlin LN, Howard R, Kales HC, Kivimäki M, Larson EB, Ogunniyi A, Orgeta V, Ritchie K, Rockwood K, Sampson EL, Samus Q, Schneider LS, Selbæk G, Teri L, Mukadam N. Dementia prevention, intervention, and care: 2020 report of the Lancet Commission. Lancet 2020; 396:413-446. [PMID: 32738937 PMCID: PMC7392084 DOI: 10.1016/s0140-6736(20)30367-6] [Citation(s) in RCA: 4425] [Impact Index Per Article: 1106.3] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 01/31/2020] [Accepted: 02/07/2020] [Indexed: 02/06/2023]
Affiliation(s)
- Gill Livingston
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK.
| | - Jonathan Huntley
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Andrew Sommerlad
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - David Ames
- National Ageing Research Institute and Academic Unit for Psychiatry of Old Age, University of Melbourne, Royal Melbourne Hospital, Parkville, VIC, Australia
| | | | - Sube Banerjee
- Faculty of Health: Medicine, Dentistry and Human Sciences, University of Plymouth, Plymouth, UK
| | - Carol Brayne
- Cambridge Institute of Public Health, University of Cambridge, Cambridge, UK
| | - Alistair Burns
- Department of Old Age Psychiatry, University of Manchester, Manchester, UK
| | - Jiska Cohen-Mansfield
- Department of Health Promotion, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Heczeg Institute on Aging, Tel Aviv University, Tel Aviv, Israel; Minerva Center for Interdisciplinary Study of End of Life, Tel Aviv University, Tel Aviv, Israel
| | - Claudia Cooper
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Sergi G Costafreda
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Amit Dias
- Department of Preventive and Social Medicine, Goa Medical College, Goa, India
| | - Nick Fox
- Dementia Research Centre, UK Dementia Research Institute, University College London, London, UK; Institute of Neurology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK
| | - Laura N Gitlin
- Center for Innovative Care in Aging, Johns Hopkins University, Baltimore, MA, USA
| | - Robert Howard
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Helen C Kales
- Department of Psychiatry and Behavioral Sciences, UC Davis School of Medicine, University of California, Sacramento, CA, USA
| | - Mika Kivimäki
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Eric B Larson
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | | | - Vasiliki Orgeta
- Division of Psychiatry, University College London, London, UK
| | - Karen Ritchie
- Inserm, Unit 1061, Neuropsychiatry: Epidemiological and Clinical Research, La Colombière Hospital, University of Montpellier, Montpellier, France; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Kenneth Rockwood
- Centre for the Health Care of Elderly People, Geriatric Medicine Dalhousie University, Halifax, NS, Canada
| | - Elizabeth L Sampson
- Division of Psychiatry, University College London, London, UK; Barnet, Enfield, and Haringey Mental Health Trust, London, UK
| | - Quincy Samus
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MA, USA
| | - Lon S Schneider
- Department of Psychiatry and the Behavioural Sciences and Department of Neurology, Keck School of Medicine, Leonard Davis School of Gerontology of the University of Southern California, Los Angeles, CA, USA
| | - Geir Selbæk
- Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway; Geriatric Department, Oslo University Hospital, Oslo, Norway
| | - Linda Teri
- Department Psychosocial and Community Health, School of Nursing, University of Washington, Seattle, WA, USA
| | - Naaheed Mukadam
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
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Xu W, Tan CC, Zou JJ, Cao XP, Tan L. Sleep problems and risk of all-cause cognitive decline or dementia: an updated systematic review and meta-analysis. J Neurol Neurosurg Psychiatry 2020; 91:236-244. [PMID: 31879285 PMCID: PMC7035682 DOI: 10.1136/jnnp-2019-321896] [Citation(s) in RCA: 133] [Impact Index Per Article: 33.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Revised: 10/28/2019] [Accepted: 12/11/2019] [Indexed: 12/18/2022]
Abstract
OBJECTIVES To conduct an updated systematic review and meta-analysis of association between sleep and all-cause cognitive disorders. METHODS PubMed and EMBASE were searched from inception to 18 February 2019. Cohort studies exploring longitudinal associations of sleep with cognitive decline or dementia were included. The multivariable-adjusted effect estimates were pooled by random-effects models, with credibility assessment. The robust error meta-regression model was used to conduct the dose-response meta-analysis for sleep duration. RESULTS 11 155 reports were searched and 51 eligible cohorts with 15 sleep problems were included for our meta-analyses. Ten types of sleep conditions or parameters, including six (insomnia, fragmentation, daytime dysfunction, prolonged latency, rapid eye movement sleep behaviour disorder and excessive time in bed) with moderate-to-high levels of evidence, were linked to higher risk of all-cause cognitive disorders. Furthermore, a U-shaped relationship was revealed for the associations with sleep duration. CONCLUSIONS Sleep management might serve as a promising target for dementia prevention.
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Affiliation(s)
- Wei Xu
- Neurology Department, Qingdao Municipal Hospital Group, Qingdao University, Qingdao, Shandong, China
| | - Chen-Chen Tan
- Neurology Department, Qingdao Municipal Hospital Group, Qingdao University, Qingdao, Shandong, China
| | - Juan-Juan Zou
- Department of Otorhinolaryngology, Qilu Hospital of Shandong University; NHC Key Laboratory of Otorhinolaryngology, Shandong University, Jinan, China
| | - Xi-Peng Cao
- Clinical Research Center, Qingdao Municipal Hospital Group, Qingdao, Shandong, China
| | - Lan Tan
- Neurology Department, Qingdao Municipal Hospital Group, Qingdao University, Qingdao, Shandong, China
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25
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Changes in sleep duration and 3-year risk of mild cognitive impairment in Chinese older adults. Aging (Albany NY) 2020; 12:309-317. [PMID: 31899685 PMCID: PMC6977705 DOI: 10.18632/aging.102616] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Accepted: 12/05/2019] [Indexed: 01/11/2023]
Abstract
Objective: This study aimed to determine whether changes in sleep duration are associated with a higher risk of mild cognitive impairment (MCI) in older adults. Results: By the 3-year follow-up, 592 participants developed MCI. Compared with the individuals who had an unchanged sleep duration, the odds ratio (95% confidence interval) for MCI was 1.44 (1.08-1.91) for those whose sleep duration increased by ≥2 h after multivariate adjustments. Moreover, changing from a long to moderate, but not short, sleep duration was negatively associated with the incidence of MCI (odds ratio: 0.65; 95% confidence interval, 0.45-0.93). Conclusions: These findings suggest that increased sleep duration is associated with a higher risk of MCI in the elderly. Furthermore, a moderate duration of sleep (6-9 h) could serve as a possible strategy for prevention of MCI. Methods: This longitudinal study was conducted with a nationally representative sample of 5419 older Chinese adults (≥65 years) from the 2008 and 2011 waves of the Chinese Longitudinal Healthy Longevity Survey. Sleep duration was assessed by a self-administered questionnaire. MCI was defined according to the Mini-Mental State Examination. An adjusted logistic regression model was used to explore the associations between changes in sleep duration and MCI.
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He L, Yang N, Ping F, Xu L, Li W, Li Y, Zhang H. Long Sleep Duration is Associated with Increased High-Sensitivity C-Reactive Protein: A Nationwide Study on Chinese Population. Diabetes Metab Syndr Obes 2020; 13:4423-4434. [PMID: 33235480 PMCID: PMC7680170 DOI: 10.2147/dmso.s265465] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 11/04/2020] [Indexed: 12/16/2022] Open
Abstract
PURPOSE High-sensitivity C-reactive protein (hs-CRP) has been shown as an important predictor of cardiovascular risk, and sleep duration is an important factor influencing health outcomes. However, the association between hs-CRP and sleep duration among Chinese adults remained unknown and controversial. We aimed to explore the associations between sleep duration and hs-CRP levels among Chinese adults, and the differences in sex and geographical regions. METHODS This cross-sectional study was based on nationally representative Chinese samples from the 2009 China Health and Nutrition Survey, which employed multistage, random cluster designs. Habitual sleep duration was self-reported with short and long sleep duration defined as ≤6h and ≥9h per day, respectively. Participants were divided into 4 groups based on the categories of self-reported sleep duration (≤6h, 7h, 8h, ≥9h per day), excluding hs-CRP levels ≥10 mg/L. Subset samples were stratified by sex and geographical regions. RESULTS A total of 8170 Chinese adults with a mean age of 50.0±14.9 years and 4369 (53.5%) men were included. Participants sleeping eight hours had the lowest hs-CRP levels. Long sleep duration (≥9h) was significantly associated with elevated hs-CRP levels after adjusting for multiple covariates in full samples (β=0.0356; 95% CI: 0.0050-0.0663; P=0.0228), but the associations of short sleep duration (≤ 6h) were limited to the unadjusted model. Long sleep duration was associated with elevated hs-CRP levels in women (β= 0.0512; 95% CI: 0.0097-0.0927; P=0.0155) and in the northern region of China (β=0.0699; 95% CI: 0.0210-0.1187; P=0.0051), but not in men or the southern region. CONCLUSION Long but not short sleep duration was positively associated with elevated hs-CRP levels, independent from traditional risk factors among Chinese adults, and sex and geographical differences were observed. Our findings imply that modifications of long sleep duration might be added to behavioral therapy to reduce cardiovascular risk in Chinese adults.
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Affiliation(s)
- Liyun He
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People’s Republic of China
| | - Na Yang
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People’s Republic of China
| | - Fan Ping
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People’s Republic of China
| | - Lingling Xu
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People’s Republic of China
| | - Wei Li
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People’s Republic of China
| | - Yuxiu Li
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People’s Republic of China
| | - Huabing Zhang
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People’s Republic of China
- Correspondence: Huabing Zhang Address: Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People’s Republic of ChinaTel/Fax +86-010-69155073 Email
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Imai T, Kuwahara K, Kabe I, Kawasaki Y, Mizoue T, Dohi S. Impact of a reduction in overtime hours on sleep duration among Japanese employees. ENVIRONMENTAL AND OCCUPATIONAL HEALTH PRACTICE 2020. [DOI: 10.1539/eohp.2020-0012-cm] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
| | | | | | | | - Tetsuya Mizoue
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine
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28
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Matsuyama S, Zhang S, Tomata Y, Abe S, Tanji F, Sugawara Y, Tsuji I. Association between improved adherence to the Japanese diet and incident functional disability in older people: The Ohsaki Cohort 2006 Study. Clin Nutr 2019; 39:2238-2245. [PMID: 31672331 DOI: 10.1016/j.clnu.2019.10.008] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 09/19/2019] [Accepted: 10/07/2019] [Indexed: 11/29/2022]
Abstract
BACKGROUND & AIMS Although it has been reported that the Japanese dietary pattern is associated with a lower risk of incident functional disability among older people, the potential benefits of improving adherence to the Japanese diet remain unclear. The aim of the present study was to evaluate the association between 12-year change in adherence to the Japanese diet and the subsequent risk of incident functional disability in older people in Japan. METHODS We analyzed 10-year follow-up data from a cohort study of 2923 Japanese older adults (age ≥65 years) in 2006. We collected dietary information using a validated 39-item food frequency questionnaire at two time points (1994 and 2006). Adherence to the Japanese diet (high intake of rice, miso soup, seaweeds, pickles, green and yellow vegetables, fish, green tea; low intake of beef and pork, and coffee) was assessed using the Japanese Diet Index (JDI), which ranges from 0 to 9. Participants were categorized into five groups according to changes in the JDI score at these two time points. Data on incident functional disability from December 2006 to November 2016 were retrieved from the public long-term care insurance database. The Cox proportional hazards model was used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) for incident functional disability. RESULTS During 22,466 person-years of follow-up, 1093 cases of incident functional disability were documented. Compared with participants in the group with the largest decrease in the JDI score (≤-2), the multivariate-adjusted HR (95% CI) of incident functional disability was 0.77 (0.61-0.98) for those in the largest increase group (≥+2). CONCLUSIONS Improved adherence to the Japanese diet was associated with a significantly lower risk of incident functional disability in older people in Japan.
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Affiliation(s)
- Sanae Matsuyama
- Division of Epidemiology, Department of Health Informatics and Public Health, Tohoku University School of Public Health, Graduate School of Medicine, Sendai, Japan
| | - Shu Zhang
- Division of Epidemiology, Department of Health Informatics and Public Health, Tohoku University School of Public Health, Graduate School of Medicine, Sendai, Japan
| | - Yasutake Tomata
- Division of Epidemiology, Department of Health Informatics and Public Health, Tohoku University School of Public Health, Graduate School of Medicine, Sendai, Japan
| | - Saho Abe
- Division of Epidemiology, Department of Health Informatics and Public Health, Tohoku University School of Public Health, Graduate School of Medicine, Sendai, Japan
| | - Fumiya Tanji
- Division of Epidemiology, Department of Health Informatics and Public Health, Tohoku University School of Public Health, Graduate School of Medicine, Sendai, Japan
| | - Yumi Sugawara
- Division of Epidemiology, Department of Health Informatics and Public Health, Tohoku University School of Public Health, Graduate School of Medicine, Sendai, Japan
| | - Ichiro Tsuji
- Division of Epidemiology, Department of Health Informatics and Public Health, Tohoku University School of Public Health, Graduate School of Medicine, Sendai, Japan.
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29
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Fan L, Xu W, Cai Y, Hu Y, Wu C. Sleep Duration and the Risk of Dementia: A Systematic Review and Meta-analysis of Prospective Cohort Studies. J Am Med Dir Assoc 2019; 20:1480-1487.e5. [PMID: 31604673 DOI: 10.1016/j.jamda.2019.06.009] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Revised: 06/09/2019] [Accepted: 06/11/2019] [Indexed: 12/30/2022]
Abstract
OBJECTIVE Epidemiologic studies have reported inconsistent findings about the association between sleep duration and the risk of dementia. We aimed to clarify this association by method of meta-analysis. DESIGN Systematic review and meta-analysis of prospective cohort studies. SETTING AND PARTICIPANTS Community or clinical settings. Participants included patients with dementia or Alzheimer's disease and the general population. MEASURES We systematically searched the PubMed, EMBASE, and Web of Science for prospective cohort studies investigating the association between sleep duration and all-cause dementia or Alzheimer's disease (AD). Generic inverse-variance method was used to combine the outcomes with a random effects model for the association between sleep duration (short or long vs normal) and all-cause dementia or AD. RESULTS We identified 7 studies for all-cause dementia and 6 studies for AD. Pooled analyses showed that long sleep duration was associated with a 77% increased risk of all-cause dementia [hazard ratio (HR) = 1.77, 95% confidence interval (CI) = 1.32-2.37] and a 63% increased risk of AD (HR = 1.63, 95% CI = 1.24-2.13). Short sleep duration was not statistically associated with an increased risk of all-cause dementia (HR = 1.20, 95% CI = 0.91-1.59) or AD (HR = 1.18, 95% CI = 0.91-1.54). CONCLUSIONS AND IMPLICATIONS Only long sleep duration is significantly associated with an increased risk of all-dementia and AD. Future studies are needed to better understand the mechanisms underlying this association.
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Affiliation(s)
- Li Fan
- Geriatric Cardiology Department of The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Weihao Xu
- Geriatric Cardiology Department of The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Yulun Cai
- Geriatric Cardiology Department of The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Yixin Hu
- Geriatric Health Care Department of The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
| | - Chenkai Wu
- Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China; Duke Global Health Institute, Duke University, Durham, NC.
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