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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Aging Neurosci</journal-id>
<journal-title>Frontiers in Aging Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Aging Neurosci</abbrev-journal-title>
<issn pub-type="epub">1663-4365</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnagi.2021.774167</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Neuroscience</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Association Between Sleep and Motoric Cognitive Risk Syndrome Among Community-Dwelling Older Adults: Results From the China Health and Retirement Longitudinal Study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Xu</surname> <given-names>Weihao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x02020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1303341/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Bai</surname> <given-names>Anying</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Huang</surname> <given-names>Xin</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Gao</surname> <given-names>Yinghui</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
</contrib> 
<contrib contrib-type="author" corresp="yes">
<name><surname>Liu</surname> <given-names>Lin</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Haikou Cadre&#x02019;s sanitarium of Hainan Military Region</institution>, <addr-line>Haikou</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Epidemiology and Biostatistics, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Geriatric Cardiology, The Second Medical Center &#x00026; National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>PKU-UPenn Sleep Center, Peking University International Hospital</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Pulmonary and Critical Care Medicine, The Second Medical Center &#x00026; National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Kewei Chen, Banner Alzheimer&#x02019;s Institute, United States</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Shawn D. Youngstedt, Arizona State University, United States; Joyce Lee-Iannotti, Banner&#x02014;University Medical Center Phoenix, United States</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Lin Liu <email>liulin715&#x00040;qq.com</email> Yinghui Gao <email>ashley_gao&#x00040;163.com</email></corresp>
<fn fn-type="other" id="fn001"><p><sup>&#x02020;</sup>These authors have contributed equally to this work and share first authorship</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>05</day>
<month>11</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>13</volume>
<elocation-id>774167</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>09</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>10</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 Xu, Bai, Huang, Gao and Liu.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Xu, Bai, Huang, Gao and Liu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract><p><bold>Background</bold>: Sleep is increasingly recognized as an important lifestyle contributor to health; however, its relationship with Motoric cognitive risk syndrome (MCR) is still unclear. The present study aimed to examine the associations between sleep duration, sleep quality, and MCR among community-dwelling Chinese older adults.</p>
<p><bold>Methods</bold>: We recruited 5,387 participants aged &#x02265;60 years from the China Health and Retirement Longitudinal Study (CHARLS). Sleep-related variables including night sleep duration and sleep quality were assessed <italic>via</italic> self-reported questionnaires. MCR syndrome was defined as cognitive complaints and slow gait speed without dementia or impaired mobility. Multivariate logistic regression analysis was performed to explore the associations between sleep-related variables and MCR after controlling for all potential confounders including demographic characteristics, lifestyle factors, and comorbidities.</p>
<p><bold>Results</bold>: We found that sleep duration was significantly associated with MCR, and the multivariate-adjusted odds ratios (OR) were highest for those with the shortest (&#x0003C;6 h <italic>OR</italic> = 1.55, 95% <italic>CI</italic> = 1.18&#x02013;2.04) and longest (&#x02265;10 h <italic>OR</italic> = 1.73, 95% <italic>CI</italic> = 1.03&#x02013;2.91) sleep durations. Moreover, an increasing frequency of self-perceived poor sleep quality was significantly associated with MCR in the adjusted model (3&#x02013;4 days <italic>OR</italic> = 1.58, 95% <italic>CI</italic> = 1.16&#x02013;2.17; 5&#x02013;7 days <italic>OR</italic> = 1.81, 95% <italic>CI</italic> = 1.37&#x02013;2.40).</p>
<p><bold>Conclusions</bold>: Our study indicated an inverted U-shaped association between night sleep duration and MCR. Poor sleep quality was also associated with higher odds of MCR in community-dwelling Chinese elders. Longitudinal studies with a larger population size are needed to establish causality in the future and further explore potential action mechanisms.</p></abstract>
<kwd-group>
<kwd>sleep duration</kwd>
<kwd>sleep quality</kwd>
<kwd>motoric cognitive risk syndrome</kwd>
<kwd>community</kwd>
<kwd>older adults</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="47"/>
<page-count count="7"/>
<word-count count="5681"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="introduction" id="s1">
<title>Introduction</title>
<p>In recent decades, the proportion of people aged 60 years or older has increased rapidly and is projected to be greater than one-fifth of the global population in 2050 (Prince et al., <xref ref-type="bibr" rid="B34">2013</xref>). Consequently, the burden of dementia and cognitive impairment is also increasing. China has the largest population of patients with dementia in the world (Jia et al., <xref ref-type="bibr" rid="B20">2020</xref>) and is expected to host almost half of the global dementia population by 2050 (Chhetri et al., <xref ref-type="bibr" rid="B13">2020</xref>). Motoric cognitive risk (MCR) syndrome is a predementia syndrome characterized by subjective cognitive complaints and objective slow gait in older individuals without dementia or any mobility disability (Verghese et al., <xref ref-type="bibr" rid="B41">2013</xref>). It has recently been suggested that providers use MCR syndrome diagnosis as an indicator to screen for adverse health outcomes (Chhetri et al., <xref ref-type="bibr" rid="B12">2017</xref>) including falls (Callisaya et al., <xref ref-type="bibr" rid="B10">2016</xref>), disability (Doi et al., <xref ref-type="bibr" rid="B16">2017</xref>), dementia (Doi et al., <xref ref-type="bibr" rid="B16">2017</xref>), cardiovascular disease (Meiner et al., <xref ref-type="bibr" rid="B26">2020</xref>), and mortality (Beauchet et al., <xref ref-type="bibr" rid="B3">2019</xref>). A clearer understanding of potentially modifiable determinants of MCR, enabling effective preventative intervention design, would help alleviate the increasing individual and societal burdens of dementia.</p>
<p>Sleep is a complex and crucial physiological process for the brain; it can restore the brain&#x02019;s functional capacity, maintain homeostasis, and is necessary for survival. Older adults tend to experience less nighttime sleep and have more sleep disturbances compared to younger adults (Ohayon et al., <xref ref-type="bibr" rid="B31">2004</xref>). As previous experimental research demonstrated, a decrease in sleep quality and quantity might elevate the concentration of &#x003B2;-amyloid, a hallmark of Alzheimer&#x02019;s disease (AD; Xie et al., <xref ref-type="bibr" rid="B44">2013</xref>), and therefore lead to a higher risk of dementia and different types of cognitive impairment. Numerous studies have investigated the various associations between sleep duration and cognition, but the results are conflicting. Some cohort studies observed sleep duration to be statistically significantly associated with cognitive decline and incident dementia (Virta et al., <xref ref-type="bibr" rid="B42">2013</xref>; Devore et al., <xref ref-type="bibr" rid="B15">2014</xref>; Bokenberger et al., <xref ref-type="bibr" rid="B7">2017</xref>; Ohara et al., <xref ref-type="bibr" rid="B30">2018</xref>), whereas others did not reach this conclusion (Tworoger et al., <xref ref-type="bibr" rid="B38">2006</xref>; Benito-Le&#x000F3;n et al., <xref ref-type="bibr" rid="B4">2009</xref>; Yaffe et al., <xref ref-type="bibr" rid="B46">2011</xref>; Keage et al., <xref ref-type="bibr" rid="B23">2012</xref>; Potvin et al., <xref ref-type="bibr" rid="B33">2012</xref>; Blackwell et al., <xref ref-type="bibr" rid="B6">2014</xref>). Some reported an inverted U-shaped association between sleep duration and the risk of dementia (Chen et al., <xref ref-type="bibr" rid="B11">2016</xref>; Bubu et al., <xref ref-type="bibr" rid="B8">2017</xref>) or cognitive decline (Xu et al., <xref ref-type="bibr" rid="B45">2011</xref>), which means that, compared to intermediate sleep duration, short or long sleep durations are associated with cognitive decline or dementia. However, still, others found that longer sleep duration was associated with poorer cognitive function (Benito-Le&#x000F3;n et al., <xref ref-type="bibr" rid="B4">2009</xref>; Faubel et al., <xref ref-type="bibr" rid="B17">2009</xref>). This discrepancy may be due to various evaluations of sleep duration and cognitive function, different characteristics among the studied cohorts, and differences in study length. Along with sleep duration, the relationship between sleep quality and cognitive performance has also been studied, and mixed findings have been reported. Some studies showed that poorer sleep quality measured by the Pittsburgh Sleep Quality Index (PSQI) was associated with weaker working memory (Noort et al., <xref ref-type="bibr" rid="B29">2016</xref>) and executive function (Nebes et al., <xref ref-type="bibr" rid="B28">2009</xref>), while others failed to find an association between subjective sleep quality and cognitive performance (Stepanski et al., <xref ref-type="bibr" rid="B37">1989</xref>; Miyata et al., <xref ref-type="bibr" rid="B27">2013</xref>). However, to the best of our knowledge, there is currently little evidence supporting the U-shaped association between sleep duration and MCR in developing countries, especially in China. Even fewer have investigated the relationship between sleep quality and MCR among Chinese older adults.</p>
<p>Sleep-related factors are potentially modifiable. Early identification and control of sleep-related predictors of MCR might have important clinical implications and generate early avenues for the prevention of progression to dementia, specifically in the large Chinese elderly population. Therefore, this study used data from the China Health and Retirement Longitudinal Study (CHARLS), a nationally representative longitudinal study, to examine the inverted U-shaped association between sleep duration and probability of MCR, and to investigate the associations between sleep quality and MCR among community-based Chinese older adults.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and Methods</title>
<sec id="s2-1">
<title>Study Participants</title>
<p>We used the national baseline data from the CHARLS to investigate the association between sleep duration, sleep quality, and MCR among Chinese middle-aged and older adults adjusting for socio-demographical factors, lifestyle factors, and comorbidities. The CHARLS baseline data collection took place from June 2011 to March 2012 and included 17,708 respondents from 10,257 households. The target population was middle-aged and older adults and their spouses aged 45 years and above and currently residing in a household in China (Sonnega et al., <xref ref-type="bibr" rid="B35">2014</xref>). Ethical approval for data collection on human subjects was received from Peking University&#x02019;s institutional review board (IRB). The CHARLS data are publicly available on the China Health and Retirement Longitudinal Study website<xref ref-type="fn" rid="fn0001"><sup>1</sup></xref>.</p>
</sec>
<sec id="s2-2">
<title>Definition of MCR</title>
<p>MCR syndrome has been defined as cognitive complaints and slow gait speed without dementia or impaired mobility. In our study, cognitive complaints were assessed using a self-reported questionnaire about memory loss: &#x0201C;How would you rate your memory at the present time?&#x0201D; Respondents were asked to rank their answers on a scale of five values: &#x0201C;excellent&#x0201D;, &#x0201C;very good&#x0201D;, &#x0201C;good&#x0201D;, &#x0201C;fair&#x0201D;, and &#x0201C;poor&#x0201D;. Those who reported &#x0201C;fair&#x0201D; or &#x0201C;poor&#x0201D; were recorded as having cognitive complaints. Gait speed was computed by the average time respondents took to walk along a straight 2.5 m path twice and was used to assess physical performance. The cutoff slow gait speed was 1.0 standard deviations or below age- (65&#x02013;69, 70&#x02013;74, &#x02265;75 years old) and sex- (male and female) appropriate mean values of gait speed in our cohort (Verghese et al., <xref ref-type="bibr" rid="B40">2014</xref>).</p>
</sec>
<sec id="s2-3">
<title>Sleep-Related Variables</title>
<p>Total nighttime sleep duration data was obtained from the question &#x0201C;During the past month, how many hours of actual sleep did you get at night (average hours for one night)?&#x0201D; and respondents were categorized into five groups according to their answers based on previous research (Yokoyama et al., <xref ref-type="bibr" rid="B47">2010</xref>; Arora et al., <xref ref-type="bibr" rid="B1">2011</xref>; Paudel et al., <xref ref-type="bibr" rid="B32">2013</xref>): &#x0003C;6 h, 6 to &#x0003C;7 h, 7 to &#x0003C;9 h, 9 to &#x0003C;10 h, and &#x02265;10 h.</p>
<p>Sleep quality was assessed by the subjects&#x02019; responses regarding the validity of the following statement: &#x0201C;My sleep was restless.&#x0201D; They were classified into four groups based on their answers: &#x0201C;1 Rarely or none of the time (&#x0003C;1 day),&#x0201D; &#x0201C;2 Some or a little of the time (1&#x02013;2 days),&#x0201D; &#x0201C;3 Occasionally or a moderate amount of the time (3&#x02013;4 days), &#x0201D; and &#x0201C;4 Most or all of the time (5&#x02013;7 days).&#x0201D;</p>
</sec>
<sec id="s2-4">
<title>Covariates</title>
<p>Demographic characteristics, lifestyle factors, and self-reported comorbidities were controlled as covariates in this study. Demographic characteristics included age, gender, marital status, and educational level. Lifestyle factors included body mass index (BMI; kg/m<sup>2</sup>), smoking history, and alcohol consumption. Health comorbidities included a self-reported history of hypertension, diabetes, chronic lung disease, kidney disease, and cardiac disease.</p>
</sec>
<sec id="s2-5">
<title>Statistical Analysis</title>
<p>All variables are presented as the mean &#x000B1; standard deviation, or frequencies and percentages. Baseline characteristics between participants with different nighttime sleep durations were compared using unpaired <italic>t</italic> or <italic>&#x003A7;</italic><sup>2</sup> tests.</p>
<p>Multivariate logistic regression analysis was performed to study the association between sleep-related variables and MCR while considering age, gender, marital status, educational level, smoking history, alcohol consumption, BMI, hypertension, diabetes, chronic lung disease, kidney disease, and cardiac disease as potential confounders. Results were reported as adjusted odds ratios and the 95% confidence interval (CI).</p>
<p>All reported p values were two-tailed with a significance level of 0.05. All analyses were performed using STATA software (version 14.0; Stata Corp LP. TX).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Characteristics of Participants According to Sleep Duration</title>
<p><xref ref-type="table" rid="T1">Table 1</xref> summarizes the baseline characteristics of the studied participants. There were 1,871 (34.7%), 1,069 (19.8%), 2,006 (37.2%), 216 (4.0%), and 225 (4.18%) participants who reported nightly sleeping &#x0003C;6 h, 6&#x02013;6.9 h, 7&#x02013;8.9 h, 9&#x02013;9.9 h, and &#x02265;10 h, respectively. The average age was older in the longest and shortest sleep duration groups, and the shortest sleep duration group had a lower proportion of males than the other sleep duration groups. Moreover, we observed a U-shaped prevalence of MCR between groups, with the longest and shortest sleep duration groups being the most prevalent (<xref ref-type="fig" rid="F1">Figure 1</xref>). There were significant associations between sleep duration and age, gender, marital status, educational level, BMI, smoking history, history of diabetes, cardiac disease, kidney disease, and chronic lung diseases vs. the odds of MCR. There were no significant associations between sleep duration and alcohol consumption or history of hypertension.</p>
<table-wrap id="T1" position="float">
<label>Table 1</label>
<caption><p>Characteristics of study participants and comparing between groups (<italic>n</italic> = 5,387).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="center"></th>
<th align="center">&#x0003C;6 h (<italic>n</italic> = 1,871)</th>
<th align="center">6&#x02013;6.9 h (<italic>n</italic> = 1,069)</th>
<th align="center">7&#x02013;8.9 h (<italic>n</italic> = 2,006)</th>
<th align="center">9&#x02013;9.9 h (<italic>n</italic> = 216)</th>
<th align="center">&#x02265;10 h (<italic>n</italic> = 225)</th>
<th align="center"><italic>P</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Age, years (mean &#x000B1; <italic>SD</italic>)</td>
<td align="center">68.2 &#x000B1; 6.7</td>
<td align="center">67.3 &#x000B1; 6.2</td>
<td align="center">67.2 &#x000B1; 6.2</td>
<td align="center">68.3 &#x000B1; 6.5</td>
<td align="center">69.9 &#x000B1; 7.0</td>
<td align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td align="left">Male, <italic>n</italic> (%)</td>
<td align="center">827 (44.2)</td>
<td align="center">585 (54.7)</td>
<td align="center">1,079 (53.8)</td>
<td align="center">115 (53.2)</td>
<td align="center">118 (52.4)</td>
<td align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td align="left">Married, <italic>n</italic> (%)</td>
<td align="center">1,423 (76.1)</td>
<td align="center">882 (82.5)</td>
<td align="center">1,647 (82.1)</td>
<td align="center">175 (81.0)</td>
<td align="center">155 (68.9)</td>
<td align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td align="left">Education level, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td align="left">&#x02264; Primary school</td>
<td align="center">1,633 (87.3)</td>
<td align="center">800 (74.8)</td>
<td align="center">1,611 (80.3)</td>
<td align="center">187 (86.6)</td>
<td align="center">208 (92.4)</td>
</tr>
<tr>
<td align="left">Middle school</td>
<td align="center">184 (9.8)</td>
<td align="center">174 (16.3)</td>
<td align="center">249 (12.4)</td>
<td align="center">20 (9.3)</td>
<td align="center">15 (6.7)</td>
</tr>
<tr>
<td align="left">&#x02265; High school</td>
<td align="center">54 (2.9)</td>
<td align="center">95 (8.9)</td>
<td align="center">145 (7.2)</td>
<td align="center">9 (4.2)</td>
<td align="center">2 (0.9)</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">BMI, (mean &#x000B1; SD)</td>
<td align="center">22.5 &#x000B1; 3.8</td>
<td align="center">23.1 &#x000B1; 3.9</td>
<td align="center">23.2 &#x000B1; 3.8</td>
<td align="center">22.6 &#x000B1; 3.7</td>
<td align="center">22.7 &#x000B1; 3.7</td>
<td align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td align="left">Current Smokers, <italic>n</italic>(%)</td>
<td align="center">540 (28.9)</td>
<td align="center">331 (31.0)</td>
<td align="center">678 (33.8)</td>
<td align="center">74 (34.3)</td>
<td align="center">71 (31.6)</td>
<td align="center">&#x0003C;0.018</td>
</tr>
<tr>
<td align="left">Current drinkers, <italic>n</italic>(%)</td>
<td align="center">544 (29.1)</td>
<td align="center">340 (31.8)</td>
<td align="center">641 (32.0)</td>
<td align="center">61 (28.2)</td>
<td align="center">81 (36.0)</td>
<td align="center">&#x0003C;0.099</td>
</tr>
<tr>
<td align="left">History of hypertension, <italic>n</italic> (%)</td>
<td align="center">589 (31.5)</td>
<td align="center">300 (28.1)</td>
<td align="center">606 (30.2)</td>
<td align="center">77 (35.6)</td>
<td align="center">72 (32.0)</td>
<td align="center">&#x0003C;0.144</td>
</tr>
<tr>
<td align="left">History of diabetes, <italic>n</italic> (%)</td>
<td align="center">127 (6.8)</td>
<td align="center">68 (6.4)</td>
<td align="center">148 (7.4)</td>
<td align="center">6 (2.8)</td>
<td align="center">8 (3.6)</td>
<td align="center">&#x0003C;0.031</td>
</tr>
<tr>
<td align="left">History of cardiac disease, <italic>n</italic> (%)</td>
<td align="center">291 (15.6)</td>
<td align="center">180 (16.8)</td>
<td align="center">283 (14.1)</td>
<td align="center">17 (7.9)</td>
<td align="center">34 (15.1)</td>
<td align="center">&#x0003C;0.010</td>
</tr>
<tr>
<td align="left">History of kidney disease, <italic>n</italic> (%)</td>
<td align="center">146 (7.8)</td>
<td align="center">64 (6.0)</td>
<td align="center">107 (5.3)</td>
<td align="center">9 (4.2)</td>
<td align="center">13 (5.8)</td>
<td align="center">&#x0003C;0.015</td>
</tr>
<tr>
<td align="left">History of Chronic Lung Diseases, <italic>n</italic> (%)</td>
<td align="center">310 (16.6)</td>
<td align="center">141 (13.2)</td>
<td align="center">246 (12.3)</td>
<td align="center">17 (7.9)</td>
<td align="center">27 (12.0)</td>
<td align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td align="left">MCR, <italic>n</italic> (%)</td>
<td align="center">147 (7.9)</td>
<td align="center">66 (6.2)</td>
<td align="center">98 (4.9)</td>
<td align="center">13 (6.0)</td>
<td align="center">19 (8.4)</td>
<td align="center">&#x0003C;0.003</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>SD, standard deviation; BMI, body mass index; MCR, motoric cognitive risk syndrome</italic>.</p>
</table-wrap-foot>
</table-wrap>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Prevalence of motoric cognitive risk (MCR) in different sleep duration groups.</p></caption>
<graphic xlink:href="fnagi-13-774167-g0001.tif"/>
</fig>
</sec>
<sec id="s3-2">
<title>Association Between Sleep Duration and MCR</title>
<p><xref ref-type="table" rid="T2">Table 2</xref> demonstrates the association between sleep duration and odds of MCR in logistic regression analyses. We used a sleep duration of 7&#x02013;8.9 h/night as the reference category. Compared to the median night sleep duration, we found that a shorter nighttime sleep duration (&#x0003C;6 h) was significantly associated with 1.55 times higher odds of MCR (95% CI 1.18&#x02013;2.04), and a longer nighttime sleep duration (&#x02265;10 h) was significantly associated with a 1.73 times higher chance of MCR diagnosis (95% CI 1.03&#x02013;2.91) after adjusting for all potential covariables. No significant relationship between 6&#x02013;6.9 h/night or 9&#x02013;9.9 h/night and MCR was found.</p>
<table-wrap id="T2" position="float">
<label>Table 2</label>
<caption><p>Associations between sleep duration and MCR.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="center"></th>
<th align="center">Model 1<sup>a</sup></th>
<th align="center">Model 2<sup>b</sup></th>
<th align="center">Model 3<sup>c</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td align="center">&#x0003C;6 h</td>
<td align="center">1.66 (1.28&#x02013;2.16)</td>
<td align="center">1.60 (1.23&#x02013;2.09)</td>
<td align="center">1.55 (1.18&#x02013;2.04)</td>
</tr>
<tr>
<td align="left">6&#x02013;6.9 h</td>
<td align="center">1.28 (0.93&#x02013;1.77)</td>
<td align="center">1.29 (0.93&#x02013;1.78)</td>
<td align="center">1.37 (0.99&#x02013;1.91)</td>
</tr>
<tr>
<td align="left">7&#x02013;8.9 h</td>
<td align="center">1.00</td>
<td align="center">1.00</td>
<td align="center">1.00</td>
</tr>
<tr>
<td align="left">9&#x02013;9.9 h</td>
<td align="center">1.25 (0.69&#x02013;2.26)</td>
<td align="center">1.25 (0.69&#x02013;2.27)</td>
<td align="center">1.12 (0.64&#x02013;2.21)</td>
</tr>
<tr>
<td align="left">&#x02265;10 h</td>
<td align="center">1.80 (1.08&#x02013;3.00)</td>
<td align="center">1.81 (1.08&#x02013;3.02)</td>
<td align="center">1.73 (1.03&#x02013;2.91)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>MCR, motoric cognitive risk syndrome. a, Model 1 was a crude model; b, Model 2 adjusted for age and gender; c, Model 3 adjusted for age, gender, marital status, educational level, smoking status, drinking status, body mass index, hypertension, diabetes, chronic lung disease, kidney disease, and cardiac disease</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-3">
<title>Association Between Sleep Quality and MCR</title>
<p><xref ref-type="table" rid="T3">Table 3</xref> presents the relationship between sleep quality and odds of MCR in the adjusted and unadjusted models. An increasing frequency of self-perceived poor sleep quality was significantly associated with MCR in both the crude and adjusted models (<xref ref-type="fig" rid="F2">Figure 2</xref>). Compared to participants who rarely felt restless after sleep, those who reported feeling restless after sleep most or all of the time were significantly associated with 1.81 times higher odds of MCR (95% CI 1.37&#x02013;2.40) after adjusting for age, gender, marital status, educational level, smoking status, alcohol use, BMI, hypertension, diabetes, chronic lung disease, kidney disease, and cardiac disease.</p>
<table-wrap id="T3" position="float">
<label>Table 3</label>
<caption><p>Associations between sleep quality and MCR.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="center"></th>
<th align="center">Model 1<sup>a</sup></th>
<th align="center">Model 2<sup>b</sup></th>
<th align="center">Model 3<sup>c</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Rarely or none of the time</td>
<td align="center">1.00</td>
<td align="center">1.00</td>
<td align="center">1.00</td>
</tr>
<tr>
<td align="left">(&#x0003C;1 day)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left">Some or a little of the time</td>
<td align="center">1.30 (0.93&#x02013;1.81)</td>
<td align="center">1.26 (0.90&#x02013;1.75)</td>
<td align="center">1.23 (0.88&#x02013;1.72)</td>
</tr>
<tr>
<td align="left">(1&#x02013;2 days)</td>
<td align="center"></td>
</tr>
<tr>
<td align="left">Occasionally or a moderate</td>
<td align="center">1.76 (1.29&#x02013;2.39)</td>
<td align="center">1.64 (1.20&#x02013;2.23)</td>
<td align="center">1.58 (1.16&#x02013;2.17)</td>
</tr>
<tr>
<td align="left">amount of the time</td>
<td/>
<td/>
</tr>
<tr>
<td align="left">(3&#x02013;4 days)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left">Most or all of the time</td>
<td align="center">2.06 (1.57&#x02013;2.69)</td>
<td align="center">1.93 (1.47&#x02013;2.53)</td>
<td align="center">1.81 (1.37&#x02013;2.40)</td>
</tr>
<tr>
<td align="left">(5&#x02013;7 days)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>MCR, motoric cognitive risk syndrome. a, Model 1 was a crude model; b, Model 2 adjusted for age and gender; c, Model 3 adjusted for age, gender, marital status, educational level, smoking status, drinking status, body mass index, hypertension, diabetes, chronic lung disease, kidney disease, and cardiac disease</italic>.</p>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Prevalence of MCR in different sleep quality groups.</p></caption>
<graphic xlink:href="fnagi-13-774167-g0002.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>In the nationally representative cohort of community-dwelling Chinese older adults, we found that, compared to median night sleep duration, shorter and longer night sleep durations were significantly associated with increased odds of MCR diagnosis, indicating an inverted U-shaped association between nighttime sleep duration and cognitive performance. Moreover, an increasing frequency in self-reported poor sleep quality was also significantly associated with higher odds of MCR after adjusting for potential confounders, including demographic characteristics, lifestyle factors, and self-reported comorbidities.</p>
<p>Several epidemiological studies on Asian populations have also reported a U-shaped association between sleep duration and cognitive function, which is in concordance with our results. Ohara et al. (<xref ref-type="bibr" rid="B30">2018</xref>) investigated the association between self-reported daily sleep duration and risk of dementia by grouping all participants into five categories (&#x0003C;5.0, 5.0&#x02013;6.9, 7.0&#x02013;7.9, 8.0&#x02013;9.9, &#x02265;10.0 h/night) in a Japanese elderly cohort. They observed a U-shaped association between sleep duration and dementia during the 10-year follow-up period. Xu et al. (<xref ref-type="bibr" rid="B45">2011</xref>) found that short (3&#x02013;4 h/day) or long sleep durations (&#x02265;10 h) were an important factor independently associated with memory impairment among 28 67 + -year-old community-dwelling adults in Guangzhou. A prospective study among 7,444 community-dwelling women (aged 65&#x02013;80) showed that both short-duration (&#x02264;6 h/night) and long-duration (&#x02265;8 h/night) sleepers had a greater cognitive decline and an increased risk of cognitive impairments, including dementia, compared to those with self-reported sleep of 7 h/night during an average of more than 7 years of follow-up. Another study among older Chinese women identified a significant U-shaped association between a higher dementia risk with either short (&#x02264;6 h/night) or long (&#x02265;8 h/night) sleep durations (vs. 7 h/night; Chen et al., <xref ref-type="bibr" rid="B11">2016</xref>). In contrast, Benito-Le&#x000F3;n et al. (<xref ref-type="bibr" rid="B4">2009</xref>) observed a significant positive association between long self-reported sleep duration (&#x02265;9 h) and incident dementia. For short-duration sleepers (&#x02264;5 h), after controlling for relevant confounders, the relationship was attenuated and no longer significant (Benito-Le&#x000F3;n et al., <xref ref-type="bibr" rid="B4">2009</xref>; Kawada, <xref ref-type="bibr" rid="B22">2015</xref>).</p>
<p>Previous studies have also investigated the relationship between changes in sleep duration and cognitive decline, but the results were contradictory.</p>
<p>Hahn et al. (<xref ref-type="bibr" rid="B18">2014</xref>) used data from a population-based sample of 214 Swedish adults aged 75 and over and found that reduced sleep was associated with a 75% increase in all-cause dementia risk at a 3-year follow-up. However, Westwood et al. (<xref ref-type="bibr" rid="B43">2017</xref>) reported that transitioning to sleeping &#x0003E;9 h over a mean period of 13 years was associated with an increased risk of all-cause dementia. Moreover, Bokenberger et al. (<xref ref-type="bibr" rid="B7">2017</xref>) demonstrated that short and extended time in bed (TIB) among older adults predicted increased dementia incidence in the 17 years following the initial sleep analysis. The variation in follow-up period, outcome measurements, cohort size, and studied population might partially explain the discrepancies between results.</p>
<p>Although several studies have examined the relationship between sleep duration and cognitive function, few have investigated the relationship between sleep duration and odds of MCR. Only one cross-sectional study among 940 Chinese older adults aged &#x02265;65 years in the Ningbo Community Study on Aging (NCSA) reported that longer night sleep duration (&#x0003E;8.5 h) was associated with higher odds of MCR compared to a shorter night sleep duration (&#x0003C;8 h). The relatively few participants with extremely short sleep durations prevented this study from exploring a possible U-shaped association (Zeng et al., <xref ref-type="bibr" rid="B48">2021</xref>).</p>
<p>Besides sleep duration, we also found that subjective poor sleep quality was significantly associated with higher odds of MCR after adjusting for confounders. Few previous studies have assessed whether subjective sleep disturbance predicts cognitive decline or cognitive impairment among older adults, and the results were inconsistent. Tworoger et al. (<xref ref-type="bibr" rid="B38">2006</xref>) found that women aged 70&#x02013;81 years who regularly had difficulty falling or staying asleep scored 0.11 units lower on the global cognition score (95% CI: &#x02212;0.22, 0.01) compared to those who rarely had difficulty sleeping. Jelicic et al. (<xref ref-type="bibr" rid="B19">2002</xref>) reported a negative relationship between sleep complaints and cognitive performance at a follow-up among 838 middle-aged and older adults (&#x02265;50 years). Cricco et al. (<xref ref-type="bibr" rid="B14">2001</xref>) observed that self-reported symptoms of insomnia independently predicted the incidence of cognitive decline 2 years later in older men, but not older women. Inconsistent conclusions across the current literature about the relationship between sleep quality and cognitive function among older adults could be explained by the variability of the subjective sleep quality indicators used. More objective methods and tools to measure sleep disturbance (such as wrist actigraphy) among larger samples of older adults might be needed to clarify these associations in the future.</p>
<p>The mechanisms underlying the association between sleep disturbance and odds of MCR remain unclear, although several potential biological pathways between sleep disturbance and cognitive function have been identified. Firstly, reduced or prolonged sleep duration has been found to be related to changes in the brain&#x02019;s ventricular volume (Lo et al., <xref ref-type="bibr" rid="B25">2014</xref>) and total cerebral brain volume (Westwood et al., <xref ref-type="bibr" rid="B43">2017</xref>) as well as cortical thickness (Spira et al., <xref ref-type="bibr" rid="B36">2016</xref>), all of which influence cognitive performance. Secondly, neuroinflammation caused by interleukin 6 and C-reactive protein activation might occur after sleep deprivation (Atienza et al., <xref ref-type="bibr" rid="B2">2018</xref>), which might mediate age-related cognitive impairment (Legdeur et al., <xref ref-type="bibr" rid="B24">2018</xref>). Thirdly, poor sleep quality may derail metabolic and endocrine function, which could induce cognitive impairments. For instance, chronic sleep deprivation is linked to an increase in amyloid-&#x003B2; plaque formation, which is a hallmark of AD (Kang et al., <xref ref-type="bibr" rid="B21">2009</xref>). Besides AD, poor sleep quality may exacerbate or accelerate the neurodegenerative process of different types of dementia.</p>
<p>Our study has several strengths. First, it is the first study to use a nationally representative cohort of community-dwelling Chinese adults to evaluate the association between sleep disturbance and MCR, which adds generalizability to our findings. Moreover, our results revealed that self-reported sleep duration and subjective poor sleep quality may be useful clinical tools to help predict persons at risk of progressing to dementia. Second, respondents were asked about sleep duration without being given example durations, and the classification of different nighttime sleep periods was set based on previous literature, both of which contributed to the identification of a reliable U-shaped association between sleep duration and odds of MCR. Third, a wide range of potential confounding parameters including demographic background, lifestyle factors, and history of comorbidities was adjusted for within the multivariable analyses, thus providing robust statistical power. However, several limitations should also be acknowledged. Firstly, the assessments of nighttime sleep duration were collected based on self-reporting in this study, which may have been influenced by recall bias. Although self-reported sleep has been shown to reflect objective assessments of sleep accurately (Biddle et al., <xref ref-type="bibr" rid="B5">2015</xref>), more objective measurements are required in future studies. Secondly, this investigation was an observational study, so no causal relationships could be demonstrated. Lastly, the sleep quality of participants was not fully investigated. More detailed measurements, like the PSQI, a self-rated questionnaire that assesses sleep quality and disturbances over a 1-month time interval (Buysse et al., <xref ref-type="bibr" rid="B9">1989</xref>), would be needed to comprehensively evaluate the sleep quality of all participants.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>In summary, this study demonstrated that shorter or longer sleep durations than average and subjective poor sleep quality were associated with increased odds of MCR. These findings have substantial public health implications and emphasize the need to improve the quality and quantity of sleep to prevent the prevalence of pre-dementia symptoms in developing countries where the number of older adults with dementia is expected to increase. In the future, longitudinal studies with comprehensive assessments of sleep disturbance among a larger population are required to establish causality and further explore potential mechanisms between sleep-related factors and MCR.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author/s.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Peking University&#x02019;s Institutional Review Board. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>WX wrote and participated in all aspects of this research, including the field investigation. AB and XH analyzed the data and interpreted the results. YG and LL designed this research. All authors reviewed the manuscript and agree to be accountable for the content of the work. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s11">
<title>Publisher&#x02019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<p>We are grateful to those who offered any help in this article.</p>
</ack>
<sec id="s12" sec-type="funding-information">
<title>Funding</title>
<p>This study was supported by Military Health Care Project (19BJZ34), Youth Program for Military Medicine of Chinese PLA General Hospital (QNC19054), Special Project of the Second Medical Center of PLA General Hospital (ZXD2008), and Open Subject of National Clinical Research Center for Geriatric Diseases (NCRCG-PLAGH-2018008).</p>
</sec>
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