Abstrakti
Study Objectives: We examined and compared cross-sectional and longitudinal associations between self-reported sleep disturbances and various cognitive domains in five separate Nordic European longitudinal aging studies (baseline N = 5631, mean age = 77.7, mean follow-up = 4.16 years). Methods: Comparable sleep parameters across studies included reduced sleep duration/quality, insomnia symptoms (sleep latency, waking up at night, and early awakenings), short and long sleep duration, and daytime napping. The cognitive domains were episodic memory, verbal fluency, perceptual speed, executive functioning, and global cognition (aggregated measure). A series of mixed linear models were run separately in each study and then compared to assess the level and rate of change in cognitive functioning across each sleep disturbance parameter. Models were adjusted for age, sex, education, hypnotic usage, depressive symptoms, lifestyle factors, cardiovascular, and metabolic conditions. By using a coordinated analytic approach, comparable construct-level measurements were generated, and results from identical statistical models were qualitatively compared across studies. Results: While the pattern of statistically significant results varied across studies, subjective sleep disturbances were consistently associated with worse cognition and steeper cognitive decline. Insomnia symptoms were associated with poorer episodic memory and participants sleeping less or more than 7–8 hours had a steeper decline in perceptual speed. In addition, daytime napping (>2 hours) was cross-sectionally and longitudinally associated with all examined cognitive domains. Most observed associations were study-specific (except for daytime napping), and a majority of association estimates remained significant after adjusting for covariates. Conclusion: This rigorous multicenter investigation further supports the importance of sleep disturbance, including insomnia, long and short sleep duration, and daytime napping on baseline cognitive functioning and rate of change among older adults. These sleep factors may be targeted in future lifestyle interventions to reduce cognitive decline.
| Alkuperäiskieli | Englanti |
|---|---|
| Artikkeli | zsad244 |
| Julkaisu | Sleep |
| Vuosikerta | 47 |
| Numero | 3 |
| DOI - pysyväislinkit | |
| Tila | Julkaistu - 1 maalisk. 2024 |
| OKM-julkaisutyyppi | A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä |
Rahoitus
The authors would like to thank The National E-infrastructure for Aging Research (NEAR) for their support with providing the project infrastructure. This study uses data from NEAR, supported by the Swedish Research Council (grant numbers: 2017-00639 and 2021-00178). Specifically, the following NEAR databases have been included: SNAC-K (funded by the Swedish Ministry of Health and Social Affairs, the Stockholm County Council and Municipality, the Swedish Research Council, and the Swedish Research Council for Health, Working Life and Welfare (FORTE)), SNAC-GÅS (funded by Swedish Ministry of Health and Social Affairs, the county Region Skåne, the Medical Faculty at Lund University, and the Swedish Research Council); the H70 study was financed by grants from the Swedish state under the agreement between the Swedish government and the county councils, the ALF-agreement (ALF965812, ALF 716681), Swedish Research Council (2005-8460, 2007-7462, 2012-5041, 2015-02830, 2019-01096, 2022-00882, 2013-8717), Swedish Research Council for Health, Working Life and Welfare (2004-0145, 2006-0596, 2008-1111, 2010-0870, 2013-1202, 2018-00471, 2001-2646, 2003-0234, 2004-0150, 2006-0020, 2008-1229, 2012-1138, AGECAP 2013-2300, 2013-2496), Konung Gustaf V:s och Drottning Victorias Frimurarestiftelse, Hjärnfonden (FO2014-0207, FO2016-0214, FO2018-0214, FO2019-0163, FO2020-0235), Alzheimerfonden (AF-554461, AF-647651, AF-743701, AF-844671, AF-930868, AF-940139, AF-968441, AF-980935), Eivind och Elsa K:son Sylvans stiftelse, The Alzheimer’s Association Zenith Award (ZEN-01-3151), The Alzheimer’s Association Stephanie B. Overstreet Scholars (IIRG-00-2159), The Bank of Sweden Tercentenary Foundation, Stiftelsen Söderström-Königska Sjukhemmet, Stiftelsen för Gamla Tjänarinnor, Handlanden Hjalmar Svenssons Forskningsfond; and the Kungsholmen Project. M.C. Overton’s work was supported by the Swedish Medical Research Council (grant numbers 2017-01613 and 2017-00639). E. Laukka receives support from the Swedish Research Council (Dnrs 2020-01030, 2021-06502). S. Hofer was supported by NIH National Institute on Aging grant 1R01AG067621. M. Kivipelto reports grants from Alzheimerfonden, Hjärnfonden, Center for Innovative Medicine (CIMED) at Karolinska Institutet South Campus, Knut and Alice Wallenberg Foundation, Konung Gustaf V:s och Drottning Victorias Frimurarestiftelse, Joint Program of Neurodegenerative Disorders—prevention (EURO-FINGERS), Region Stockholm (ALF, NVS), Stiftelsen Stockholms sjukhem, Swedish Research Council for Health Working Life and Welfare (FORTE), NordForsk NJ-FINGERS 119886. A. Solomon receives support from European Research Council grant 804371, Region Stockholm (ALF, NSV), Alzheimerfonden. Shireen Sindi is supported by Swedish Research Council (Dnr: 2020-02325), Alzheimerfonden, The Rut and Arvid Wolff Memorial Foundation, The Center for Medical Innovation (CIMED) Network Grant (Karolinska Institutet), The Foundation for Geriatric Diseases at Karolinska Institutet, Erik Rönnbergs Stipend—Riksbankens Jubileumsfond, Loo and Hans Osterman Foundation for Medical Research, Demensförbundet. J. Kulmala is supported by Ministry of Culture and Education, Finland. Acknowledgments The authors would like to thank The National E-infrastructure for Aging Research (NEAR) for their support with providing the project infrastructure. NEAR is supported by the Swedish Research Council (DNR 2017-00639; 2021-00178). Specifically, the following NEAR databases have been included: SNAC-K, SNAC-GÅS, H70, Kungsholmen Project. The authors would also like to thank all project participants for their valuable time, and all staff members within each project for all their contributions toward data collection and processing.
| Rahoittajat | Rahoittajan numero |
|---|---|
| Alzheimerfonden, Hjärnfonden, Center for Innovative Medicine | |
| Ministry of Culture and Education, Finland | |
| Knut och Alice Wallenbergs Stiftelse | |
| Stockholm County Council and Municipality | |
| Stiftelsen Söderström-Königska Sjukhemmet, Stiftelsen för Gamla Tjänarinnor | |
| National E-infrastructure for Aging Research | |
| Center for Innovative Medicine | |
| European Union Joint Program for Neurodegenerative Disorders | |
| Swedish Ministry of Health and Social Affairs | |
| Forskningsrådet om Hälsa, Arbetsliv och Välfärd | |
| Karolinska Institutet | |
| Arvid Wolff Memorial Foundation | |
| Lunds Universitet | |
| Karolinska Institutet South Campus | |
| Handlanden Hjalmar Svenssons Forskningsfond | |
| Center for Medical Innovation, Swanson School of Engineering, University of Pittsburgh | |
| Riksbankens Jubileumsfond | |
| Swedish Ministry of Health and Social Affairs, the county Region Skåne | |
| SNAC-GÅS | |
| National Institute on Aging | 1R01AG067621 |
| Medicinska Forskningsrådet | 2021-06502, 2020-01030, 2017-01613 |
| European Research Council | 2020-02325, 804371 |
| Vetenskapsrådet | 2017-00639, 2021-00178, DNR 2017-00639 |
| Nordforsk | 119886 |
| Swedish government | 2004-0145, 2001-2646, 2008-1111, 2005-8460, 2022-00882, 2004-0150, 2012-5041, 2019-01096, 2013-2496, 2008-1229, 2018-00471, ALF 716681, 2007-7462, 2013-1202, 2006-0020, 2013-8717, 2010-0870, 2003-0234, AGECAP 2013-2300, 2012-1138, 2006-0596, 2015-02830, ALF965812 |
| Eivind och Elsa K:son Sylvans stiftelse | IIRG-00-2159, ZEN-01-3151 |
| Konung Gustaf V:s och Drottning Victorias Frimurarestiftelse | AF-647651, AF-940139, AF-980935, FO2014-0207, AF-844671, AF-743701, FO2019-0163, FO2020-0235, FO2016-0214, AF-930868, AF-554461, AF-968441, FO2018-0214 |
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