Qi Zhu1, Yueyue You2, Lin Fan3, Hui Fan4. 1. Department of Preventive Medicine, North Sichuan Medical College, Fujiang Road, Shunqing, Nanchong, 234, Sichuan, China. zhuqi507@163.com. 2. Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China. 3. 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. 4. Department of Preventive Medicine, North Sichuan Medical College, Fujiang Road, Shunqing, Nanchong, 234, Sichuan, China. 1577371399@qq.com.
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.
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.
Authors: Dan Mungas; Laurel Beckett; Danielle Harvey; Sarah Tomaszewski Farias; Bruce Reed; Owen Carmichael; John Olichney; Joshua Miller; Charles DeCarli Journal: Psychol Aging Date: 2010-09
Authors: William D S Killgore; Ellen T Kahn-Greene; Nancy L Grugle; Desiree B Killgore; Thomas J Balkin Journal: Sleep Date: 2009-02 Impact factor: 5.849
Authors: Seung Wan Suh; Ji Won Han; Ju Ri Lee; Seonjeong Byun; Soon Jai Kwon; Sang Hoon Oh; Kyoung Hwan Lee; Guehee Han; Jong Woo Hong; Kyung Phil Kwak; Bong-Jo Kim; Shin Gyeom Kim; Jeong Lan Kim; Tae Hui Kim; Seung-Ho Ryu; Seok Woo Moon; Joon Hyuk Park; Jiyeong Seo; Jong Chul Youn; Dong Young Lee; Dong Woo Lee; Seok Bum Lee; Jung Jae Lee; Jin Hyeong Jhoo; Ki Woong Kim Journal: Ann Neurol Date: 2018-03-03 Impact factor: 10.422
Authors: Norrina B Allen; Juned Siddique; John T Wilkins; Christina Shay; Cora E Lewis; David C Goff; David R Jacobs; Kiang Liu; Donald Lloyd-Jones Journal: JAMA Date: 2014-02-05 Impact factor: 157.335