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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Nutr.</journal-id>
<journal-title>Frontiers in Nutrition</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Nutr.</abbrev-journal-title>
<issn pub-type="epub">2296-861X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnut.2024.1467751</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Nutrition</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Joint association of serum sodium and frailty with mild cognitive impairment among hospitalized older adults with chronic diseases: a cross-sectional study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Hui</surname> <given-names>Zhaozhao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2193987/overview"/>
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<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Lina</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2723006/overview"/>
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</contrib>
<contrib contrib-type="author">
<name><surname>Deng</surname> <given-names>Jing</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Feng</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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</contrib>
<contrib contrib-type="author">
<name><surname>Cheng</surname> <given-names>Liping</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Yajing</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Tian</surname> <given-names>Yuxin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Ma</surname> <given-names>Le</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1362083/overview"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Liu</surname> <given-names>Xiaohong</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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</contrib-group>
<aff id="aff1"><sup>1</sup><institution>School of Public Health, Xi&#x2019;an Jiaotong University Health Science Center</institution>, <addr-line>Xi&#x2019;an</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>The First Affiliated Hospital of Xi&#x2019;an Jiaotong University</institution>, <addr-line>Xi&#x2019;an</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Tongchuan People&#x2019;s Hospital</institution>, <addr-line>Tongchuan</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001"><p>Edited by: Ian James Martins, University of Western Australia, Australia</p></fn>
<fn fn-type="edited-by" id="fn0002"><p>Reviewed by: Roberta Zupo, University of Bari Aldo Moro, Italy</p><p>Silvia Giovannini, Catholic University of the Sacred Heart, Rome, Italy</p></fn>
<corresp id="c001">&#x002A;Correspondence: Xiaohong Liu, <email>liuxiaoh@mail.xjtu.edu.cn</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>21</day>
<month>10</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>11</volume>
<elocation-id>1467751</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>07</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>04</day>
<month>10</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Hui, Wang, Deng, Liu, Cheng, Li, Tian, Ma and Liu.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Hui, Wang, Deng, Liu, Cheng, Li, Tian, Ma 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>
<sec id="sec1">
<title>Background</title>
<p>To examine the associations of serum sodium and frailty with the risk of mild cognitive impairment (MCI) among hospitalized older adults with chronic diseases.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>A cross-sectional study was conducted in 403 hospitalized older adults with chronic diseases. Serum sodium concentration was assessed by the ion-selective electrode method, frailty status was evaluated by the FRAIL scale, and MCI was determined by the Montreal Cognitive Assessment (MoCA). Multiple logistic regression models were used to estimate the associations of serum sodium and frailty with MCI.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>Participants with the lowest tertile of serum sodium had a higher risk of MCI than those in the middle tertile group (OR&#x2009;=&#x2009;1.75, 95% CI: 1.01&#x2013;3.04). Below 143&#x2009;mmol/L, the risk of MCI was 1.38 (95% CI: 1.03&#x2013;1.84) for per 1 SD decrease in serum sodium. Compared with the robust group, frailty was significantly associated with an increased risk of MCI (OR&#x2009;=&#x2009;3.94, 95% CI: 1.92&#x2013;8.10). Moreover, in comparison with participants with the middle tertile of serum sodium and who were robust/prefrail, those with frailty and either the lowest (OR&#x2009;=&#x2009;5.53, 95% CI: 2.08&#x2013;14.67) or the highest tertile of serum sodium (OR&#x2009;=&#x2009;3.48, 95% CI: 1.20&#x2013;10.05) had higher risks of MCI.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>Both lower and higher serum sodium impose a significantly higher risk for MCI in older adults with frailty. This could inform the design of clinical trials and the development of guidelines and recommendations for correcting serum sodium and frailty in hospitalized older adults with chronic diseases.</p>
</sec>
</abstract>
<kwd-group>
<kwd>mild cognitive impairment</kwd>
<kwd>serum sodium</kwd>
<kwd>frailty</kwd>
<kwd>older adults</kwd>
<kwd>chronic disease</kwd>
</kwd-group>
<contract-num rid="cn1">SK2023004</contract-num>
<contract-num rid="cn2">23JZ015</contract-num>
<contract-sponsor id="cn1">Fundamental Research Funds for the Central Universities<named-content content-type="fundref-id">10.13039/501100012226</named-content></contract-sponsor>
<contract-sponsor id="cn2">Key Research Base of Philosophy and Social Sciences in Shaanxi</contract-sponsor>
<counts>
<fig-count count="3"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="58"/>
<page-count count="9"/>
<word-count count="6572"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Nutrition, Psychology and Brain Health</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<label>1</label>
<title>Introduction</title>
<p>Dementia is a progressive neurodegenerative syndrome characterized by acquired deterioration in cognition, function, and behavior, which interferes with independence in daily activities (<xref ref-type="bibr" rid="ref1">1</xref>). It has been estimated that approximately 57.4 million people worldwide were affected by dementia in 2019 and this number is projected to reach 152.8 million by 2050 (<xref ref-type="bibr" rid="ref2">2</xref>). With the unprecedented aging of the population, dementia has imposed a tremendous burden on health care resources and significantly impaired the quality of life among affected individuals and their families (<xref ref-type="bibr" rid="ref3">3</xref>). Despite advances in symptomatic treatments, curative or effective disease-modifying therapies for dementia are lacking (<xref ref-type="bibr" rid="ref4">4</xref>), thereby making prevention of this disease a major public health priority (<xref ref-type="bibr" rid="ref5">5</xref>). As a preclinical, transitional state between healthy cognitive aging and dementia (<xref ref-type="bibr" rid="ref6">6</xref>), mild cognitive impairment (MCI) represents a window of opportunity for intervention in which the impairments of one or more cognitive domains occur with specific neuropathological and biomarker changes (<xref ref-type="bibr" rid="ref7">7</xref>). Therefore, a better understanding of the potentially modifiable risk factors for MCI is urgently needed to prevent or postpone the onset of dementia (<xref ref-type="bibr" rid="ref8">8</xref>).</p>
<p>Hypoperfusion and hypometabolism in temporoparietal cortices have been recognized as pivotal neurobiological features of MCI (<xref ref-type="bibr" rid="ref7">7</xref>). As the primary cation in extracellular fluid, sodium ion regulates the water-electrolyte balance, blood volume, and osmotic pressure (<xref ref-type="bibr" rid="ref9">9</xref>). Abnormalities of serum sodium concentrations can trigger an imbalance of osmotic pressure between the outside and inside of the cell, potentially leading to disturbances in cerebral blood volume and neuronal activities (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref11">11</xref>). Additionally, the underlying pathophysiological mechanisms of neurodegeneration involve oxidative stress and inflammation (<xref ref-type="bibr" rid="ref12">12</xref>), both of which can be activated by altered sodium homeostasis (<xref ref-type="bibr" rid="ref13">13</xref>, <xref ref-type="bibr" rid="ref14">14</xref>). Several epidemiological studies have revealed that lower serum sodium was associated with cognitive decline among older persons (<xref ref-type="bibr" rid="ref15">15</xref>, <xref ref-type="bibr" rid="ref16">16</xref>); however, research conducted in the general population found null associations between lower circulating sodium levels and worse overall cognitive function (<xref ref-type="bibr" rid="ref17">17</xref>).</p>
<p>The homeostasis of serum sodium can be profoundly disturbed by chronic diseases (<xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref19">19</xref>), which also constitute significant risk factors for frailty, particularly in older adults (<xref ref-type="bibr" rid="ref20">20</xref>). As a geriatric syndrome characterized by the accumulation of deficits (<xref ref-type="bibr" rid="ref20">20</xref>), frailty also encompasses the domain of nutrition. It has been reported that older adults with nutritional frailty, the co-occurrence of physical frailty and nutritional imbalance which includes high dietary sodium intake (<xref ref-type="bibr" rid="ref21">21</xref>), are at higher risk for all-cause mortality (<xref ref-type="bibr" rid="ref22">22</xref>). Moreover, frailty shares common biological pathways with cognitive impairment, including elevations in biomarkers of oxidative stress and inflammatory cytokines (<xref ref-type="bibr" rid="ref23">23</xref>). Numerous studies have shown a significant association between frailty and the risk of cognitive decline (<xref ref-type="bibr" rid="ref24 ref25 ref26">24&#x2013;26</xref>). Individuals with frailty experience more severe health consequences owing to declines in physiological reserves across multiple organ systems (<xref ref-type="bibr" rid="ref20">20</xref>) and may exhibit impaired compensatory responses to sodium imbalances. Nevertheless, the joint associations of frailty and circulating sodium levels with MCI risks remain unexplored.</p>
<p>Therefore, this study aimed to investigate the associations of serum sodium concentrations as well as frailty with the risk of MCI, among Chinese hospitalized older adults with chronic diseases. Additionally, this study sought to determine whether the association between serum sodium levels and MCI risk varies according to frailty status. It was hypothesized that serum sodium concentrations and frailty are associated with MCI risk, and furthermore, the association between serum sodium and MCI risk depends on the frailty status of the individuals.</p>
</sec>
<sec sec-type="materials|methods" id="sec6">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec7">
<label>2.1</label>
<title>Participants</title>
<p>A total of 418 participants were recruited and screened by research nurses in three tertiary hospitals in Xi&#x2019;an, China. Structured questionnaires collected information on sociodemographic characteristics, anthropometric variables, lifestyle behaviors, disease status, and cognitive function at hospital admission. Peripheral fasting blood samples of the participants were extracted by trained registered nurses to determine serum sodium concentrations. Participants aged 60&#x2009;years or older were eligible if they had been diagnosed with chronic diseases (e.g., coronary heart disease, hypertension, stroke, or type 2 diabetes) by a physician following the International Classification of Diseases, 10th revision (<xref ref-type="bibr" rid="ref27">27</xref>). Individuals were excluded if they were diagnosed with any dementia (e.g., Alzheimer&#x2019;s disease, vascular dementia, frontotemporal dementia, or Lewy body dementia), were suffering from other serious psychiatric conditions (e.g., schizophrenia, bipolar disorder, or intellectual disability), were currently taking psychotropic medications (e.g., benzodiazepines, anticholinergic medications, antidepressants), exhibited fluid and electrolyte imbalance upon hospital admission, had a previous history of head trauma, were unable to participate fully in the proposed assessment due to any consciousness or speech impairment, underwent surgery within the past 3&#x2009;months, or had a life expectancy less than 6&#x2009;months. After exclusion, 403 participants were included in the study analyses (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Flowchart of the study population.</p>
</caption>
<graphic xlink:href="fnut-11-1467751-g001.tif"/>
</fig>
</sec>
<sec id="sec8">
<label>2.2</label>
<title>Assessment of serum sodium</title>
<p>Peripheral fasting blood samples for each participant were collected in vacutainers coated with Ethylene Diamine Tetraacetic Acid by phlebotomists during the first 24&#x2009;h after hospital admission. Specimens were immediately centrifuged, aliquoted, and then stored in separator tubes at 4&#x00B0;C until assay. Serum concentrations of sodium were measured by ion selective electrode methodology using the Beckman AU5431 Chemistry Analyzer (Diamond Diagnostics, Holliston, MA, United States) by laboratory physicians following the standard operating procedures (<xref ref-type="bibr" rid="ref28">28</xref>).</p>
</sec>
<sec id="sec9">
<label>2.3</label>
<title>Assessment of frailty</title>
<p>Frailty was assessed by trained researchers using the FRAIL scale, which comprises five components: fatigue, resistance, ambulation, illnesses, and loss of weight (<xref ref-type="bibr" rid="ref29">29</xref>). Participants met the criterion for fatigue if they responded &#x201C;all of the time&#x201D; or &#x201C;most of the time&#x201D; to the question, &#x201C;How much time during the past 4&#x2009;weeks have you felt tired?&#x201D; Resistance was measured by asking participants if they had any difficulties in walking up 10 steps alone without resting and without aids, and ambulation was measured by asking if they had any difficulties in walking 100&#x2009;meters alone and without aids. Participants met the criterion for illnesses if they reported five or more illnesses out of 11 total illnesses: hypertension, diabetes, cancer, chronic lung disease, heart attack, heart failure, angina, asthma, arthritis, stroke, and kidney disease. Loss of weight was measured by asking if participants had a weight reduction of 5% or more within the past 12&#x2009;months. Participants who met 3 or more criteria were considered as frail, 1&#x2013;2 criteria as pre-frail, and 0 as robust.</p>
</sec>
<sec id="sec10">
<label>2.4</label>
<title>Assessment of MCI</title>
<p>MCI was determined by trained researchers using the Montreal Cognitive Assessment (MoCA), which is a brief cognitive screening tool that provides a global impression of a person&#x2019;s cognitive integrity (<xref ref-type="bibr" rid="ref30">30</xref>). It consists of 30 items and assesses short-term memory, visuospatial abilities, executive functions, attention, concentration and working memory, language, and orientation to time and place (<xref ref-type="bibr" rid="ref31">31</xref>). The total MoCA scores were calculated by summing up the scores of each item and ranged from 0 to 30, with higher scores indicating a better cognitive function. The cut-off scores for MCI were 19 for individuals with no more than 6&#x2009;years of education, 22 for individuals with 7 to 12&#x2009;years of education, and 24 for individuals with more than 12&#x2009;years of education (<xref ref-type="bibr" rid="ref32">32</xref>).</p>
</sec>
<sec id="sec11">
<label>2.5</label>
<title>Assessment of covariates</title>
<p>For each participant, the sociodemographic characteristics, anthropometric measurements, lifestyle behaviors, and disease status were selected <italic>a priori</italic> as potential covariates and were obtained by a self-administered questionnaire. Sociodemographic characteristics included age, gender, educational attainment, marital status, and socioeconomic status using <italic>per capita</italic> monthly household income. Anthropometric measurements included height and weight, which were measured by trained registered nurses following standard protocols at hospital admission. Body mass index (BMI) was calculated by dividing the participant&#x2019;s weight in kilograms by their height in meters squared (kg/m<sup>2</sup>). Lifestyle behaviors included smoking and alcohol consumption. Chronic diseases (e.g., coronary heart disease, hypertension, stroke, and type 2 diabetes) were determined by self-report of diagnosis by a physician or other health care provider.</p>
</sec>
<sec id="sec12">
<label>2.6</label>
<title>Sample size calculation and statistical analyses</title>
<p>The sample size was determined using the software package PASS version 14.0. As described previously (<xref ref-type="bibr" rid="ref33">33</xref>), the prevalence of MCI was assumed to be 20.4% in Chinese older inpatients. With a relative precision of 20%, it was estimated that at least 374 participants should be recruited to achieve a power of 80% at a two-tailed significance level of 5%.</p>
<p>The normality of data distribution was tested using the Kolmogorov&#x2013;Smirnov normality test. Normally distributed variables were described as mean and standard deviation (SD), while non-normally distributed variables were represented by the median and interquartile range (IQR). Categorical variables were expressed by frequency with percentage. According to the distribution of serum sodium, participants were categorized into tertiles, with the second tertile serving as the reference group. The Chi-square test and Fisher&#x2019;s exact test were used for group comparisons.</p>
<p>To ascertain the association of serum sodium with MCI risks, odds ratios (ORs) with 95% confidence intervals (CIs) were estimated using logistic regression models. Three different models were performed: a crude model (Model 1), a gender- (men or women) and age-adjusted model (continuous) (Model 2), and a model in which we additionally adjusted for BMI (&#x003C;18.5, 18.5&#x2013;23.9, 24.0&#x2013;27.9, or&#x2009;&#x2265;&#x2009;28.0) (<xref ref-type="bibr" rid="ref34">34</xref>), smoking status (never, past, or current), and alcohol consumption (never, past, or current) (Model 3). Dose&#x2013;response relationships of serum sodium concentration with MCI risks were investigated graphically by restricted cubic splines with four knots. Similar logistical regression models were conducted to examine the association between frailty status and MCI risks. Tests for linear trend across the frailty status categories using the Wald test were performed by treating the three categories of frailty status as a continuous variable in the regression models. When exploring the joint association of frailty status and serum sodium, frailty status was merged into two categories: robust/prefrailty and frailty. To evaluate the robustness of the study findings, a sensitivity analysis was conducted by excluding the participants with cancer.</p>
<p>All statistical analyses were performed with the R packages (version 4.3.2). Two-tailed <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="sec13">
<label>3</label>
<title>Results</title>
<p>The characteristics of the study participants are presented in <xref ref-type="table" rid="tab1">Table 1</xref>. Compared with participants in the middle tertile of serum sodium, those in the lowest and highest tertile groups were less likely to be married and to have a history of stroke. Lower serum sodium levels were positively associated with smoking and alcohol consumption. In addition, participants with frailty were older and tended to be non-drinkers, in contrast to those who were robust or prefrail.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Characteristics of the participants by serum sodium and frailty status<sup>a</sup>.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" rowspan="2">Characteristics</th>
<th align="center" valign="middle" colspan="3">Sodium levels (mmol/L)</th>
<th align="center" valign="middle" rowspan="2"><italic>p</italic></th>
<th align="center" valign="middle" colspan="3">Frailty status</th>
<th align="center" valign="middle" rowspan="2"><italic>p</italic></th>
</tr>
<tr>
<th align="center" valign="middle">T1 (&#x003C;141.2)</th>
<th align="center" valign="middle">T2 (141.2&#x2013;143.5)</th>
<th align="center" valign="middle">T3 (&#x003E;143.5)</th>
<th align="center" valign="middle">Robust</th>
<th align="center" valign="middle">Pre-frailty</th>
<th align="center" valign="middle">Frailty</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">No. of participants</td>
<td align="center" valign="middle">138</td>
<td align="center" valign="middle">135</td>
<td align="center" valign="middle">130</td>
<td/>
<td align="center" valign="middle">154</td>
<td align="center" valign="middle">196</td>
<td align="center" valign="middle">53</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Mean (SD) age, years</td>
<td align="center" valign="middle">71.6 (7.8)</td>
<td align="center" valign="middle">69.9 (7.9)</td>
<td align="center" valign="middle">71.7 (7.8)</td>
<td align="center" valign="middle">0.09</td>
<td align="center" valign="middle">69.8 (7.4)</td>
<td align="center" valign="middle">70.4 (7.5)</td>
<td align="center" valign="middle">77.2 (7.5)</td>
<td align="center" valign="middle"><bold>&#x003C;0.01</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Male</td>
<td align="center" valign="top">88 (63.8)</td>
<td align="center" valign="top">66 (48.9)</td>
<td align="center" valign="top">42 (32.3)</td>
<td align="center" valign="middle"><bold>&#x003C;0.01</bold></td>
<td align="center" valign="top">85 (55.2)</td>
<td align="center" valign="top">88 (44.9)</td>
<td align="center" valign="top">23 (43.4)</td>
<td align="center" valign="middle">0.12</td>
</tr>
<tr>
<td align="left" valign="middle">Married</td>
<td align="center" valign="top">95 (68.8)</td>
<td align="center" valign="top">113 (83.7)</td>
<td align="center" valign="top">96 (73.8)</td>
<td align="center" valign="middle"><bold>0.02</bold></td>
<td align="center" valign="top">119 (77.3)</td>
<td align="center" valign="top">152 (77.6)</td>
<td align="center" valign="top">33 (62.3)</td>
<td align="center" valign="middle">0.06</td>
</tr>
<tr>
<td align="left" valign="middle">Educational attainment</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.54</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.76</td>
</tr>
<tr>
<td align="left" valign="middle">Less than college</td>
<td align="center" valign="top">101 (73.2)</td>
<td align="center" valign="top">91 (67.4)</td>
<td align="center" valign="top">89 (68.5)</td>
<td/>
<td align="center" valign="top">105 (68.2)</td>
<td align="center" valign="top">137 (69.9)</td>
<td align="center" valign="top">39 (73.6)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">College or above</td>
<td align="center" valign="top">37 (26.8)</td>
<td align="center" valign="top">44 (32.6)</td>
<td align="center" valign="top">41 (31.5)</td>
<td/>
<td align="center" valign="top">49 (31.8)</td>
<td align="center" valign="top">59 (30.1)</td>
<td align="center" valign="top">14 (26.4)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">BMI, kg/m<sup>2</sup></td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.54</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.78<xref ref-type="table-fn" rid="tfn1"><sup>b</sup></xref></td>
</tr>
<tr>
<td align="left" valign="middle">&#x003C;18.5</td>
<td align="center" valign="top">7 (5.1)</td>
<td align="center" valign="top">8 (5.9)</td>
<td align="center" valign="top">10 (7.7)</td>
<td/>
<td align="center" valign="top">8 (5.2)</td>
<td align="center" valign="top">13 (6.6)</td>
<td align="center" valign="top">4 (7.5)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">18.5&#x2013;23.9</td>
<td align="center" valign="top">71 (51.4)</td>
<td align="center" valign="top">61 (45.2)</td>
<td align="center" valign="top">70 (53.8)</td>
<td/>
<td align="center" valign="top">72 (46.8)</td>
<td align="center" valign="top">101 (51.5)</td>
<td align="center" valign="top">29 (54.7)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">24.0&#x2013;27.9</td>
<td align="center" valign="top">51 (37.0)</td>
<td align="center" valign="top">55 (40.7)</td>
<td align="center" valign="top">38 (29.2)</td>
<td/>
<td align="center" valign="top">61 (39.6)</td>
<td align="center" valign="top">68 (34.7)</td>
<td align="center" valign="top">15 (28.3)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">&#x2265;28</td>
<td align="center" valign="top">9 (6.5)</td>
<td align="center" valign="top">11 (8.1)</td>
<td align="center" valign="top">12 (9.2)</td>
<td/>
<td align="center" valign="top">13 (8.4)</td>
<td align="center" valign="top">14 (7.1)</td>
<td align="center" valign="top">5 (9.4)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Socioeconomic status<xref ref-type="table-fn" rid="tfn2"><sup>c</sup></xref></td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.24</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.20</td>
</tr>
<tr>
<td align="left" valign="middle">Low</td>
<td align="center" valign="top">48 (34.8)</td>
<td align="center" valign="top">31 (23.0)</td>
<td align="center" valign="top">34 (26.2)</td>
<td/>
<td align="center" valign="top">52 (33.8)</td>
<td align="center" valign="top">45 (23.0)</td>
<td align="center" valign="top">16 (30.2)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Middle</td>
<td align="center" valign="top">47 (34.1)</td>
<td align="center" valign="top">57 (42.2)</td>
<td align="center" valign="top">55 (42.3)</td>
<td/>
<td align="center" valign="top">55 (35.7)</td>
<td align="center" valign="top">81 (41.3)</td>
<td align="center" valign="top">23 (43.4)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">High</td>
<td align="center" valign="top">43 (31.2)</td>
<td align="center" valign="top">47 (34.8)</td>
<td align="center" valign="top">41 (31.5)</td>
<td/>
<td align="center" valign="top">47 (30.5)</td>
<td align="center" valign="top">70 (35.7)</td>
<td align="center" valign="top">14 (26.4)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Cigarette smoking</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle"><bold>&#x003C;0.01</bold></td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.29</td>
</tr>
<tr>
<td align="left" valign="middle">Never</td>
<td align="center" valign="top">79 (57.2)</td>
<td align="center" valign="top">85 (63.0)</td>
<td align="center" valign="top">106 (81.5)</td>
<td/>
<td align="center" valign="top">96 (62.3)</td>
<td align="center" valign="top">137 (69.9)</td>
<td align="center" valign="top">37 (69.8)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Past/Current</td>
<td align="center" valign="top">59 (42.8)</td>
<td align="center" valign="top">50 (37.0)</td>
<td align="center" valign="top">24 (18.5)</td>
<td/>
<td align="center" valign="top">58 (37.7)</td>
<td align="center" valign="top">59 (30.1)</td>
<td align="center" valign="top">16 (30.2)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Alcohol consumption</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle"><bold>&#x003C;0.01</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Never</td>
<td align="center" valign="top">87 (63.0)</td>
<td align="center" valign="top">91 (67.4)</td>
<td align="center" valign="top">104 (80.0)</td>
<td/>
<td align="center" valign="top">97 (63.0)</td>
<td align="center" valign="top">141 (71.9)</td>
<td align="center" valign="top">44 (83.0)</td>
<td align="center" valign="middle"><bold>0.02</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Past/Current</td>
<td align="center" valign="top">51 (37.0)</td>
<td align="center" valign="top">44 (32.6)</td>
<td align="center" valign="top">26 (20.0)</td>
<td/>
<td align="center" valign="top">57 (37.0)</td>
<td align="center" valign="top">55 (28.1)</td>
<td align="center" valign="top">9 (17.0)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">T2D</td>
<td align="center" valign="top">29 (21.0)</td>
<td align="center" valign="top">30 (22.2)</td>
<td align="center" valign="top">34 (26.2)</td>
<td align="center" valign="middle">0.58</td>
<td align="center" valign="top">32 (20.8)</td>
<td align="center" valign="top">44 (22.4)</td>
<td align="center" valign="top">17 (32.1)</td>
<td align="center" valign="middle">0.23</td>
</tr>
<tr>
<td align="left" valign="middle">Coronary heart disease</td>
<td align="center" valign="top">18 (13.0)</td>
<td align="center" valign="top">18 (13.3)</td>
<td align="center" valign="top">21 (16.2)</td>
<td align="center" valign="middle">0.73</td>
<td align="center" valign="top">26 (16.9)</td>
<td align="center" valign="top">26 (13.3)</td>
<td align="center" valign="top">5 (9.4)</td>
<td align="center" valign="middle">0.36</td>
</tr>
<tr>
<td align="left" valign="middle">Stroke</td>
<td align="center" valign="top">12 (8.7)</td>
<td align="center" valign="top">18 (13.3)</td>
<td align="center" valign="top">6 (4.6)</td>
<td align="center" valign="middle"><bold>0.04</bold></td>
<td align="center" valign="top">13 (8.4)</td>
<td align="center" valign="top">18 (9.2)</td>
<td align="center" valign="top">5 (9.4)</td>
<td align="center" valign="middle">0.96</td>
</tr>
<tr>
<td align="left" valign="middle">Hypertension</td>
<td align="center" valign="top">18 (13.0)</td>
<td align="center" valign="top">21 (15.6)</td>
<td align="center" valign="top">25 (19.2)</td>
<td align="center" valign="middle">0.38</td>
<td align="center" valign="top">25 (16.2)</td>
<td align="center" valign="top">31 (15.8)</td>
<td align="center" valign="top">8 (15.1)</td>
<td align="center" valign="middle">0.98</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>T1&#x2009;=&#x2009;tertile 1, T2&#x2009;=&#x2009;tertile 2, T3&#x2009;=&#x2009;tertile 3, BMI&#x2009;=&#x2009;body mass index, T2D&#x2009;=&#x2009;type 2 diabetes.</p>
<p><sup>a</sup>Values are frequency (percentages) unless stated otherwise.</p>
<fn id="tfn1"><label>b</label><p>Fisher&#x2019;s exact test.</p></fn>
<fn id="tfn2"><label>c</label><p>Socioeconomic status represents per capita monthly household income.</p></fn>
<p>Bold values indicate statistical significance.</p>
</table-wrap-foot>
</table-wrap>
<p>Both the lowest and highest tertiles of serum sodium were positively associated with the risk of MCI, with OR of 1.91 and 1.14, respectively; however, only the association between the lowest tertile of serum sodium and MCI risk reached statistical significance (<italic>p</italic>&#x2009;=&#x2009;0.01). Adjustments for gender and age somewhat attenuated these associations. After further controlling for BMI, smoking status, and alcohol consumption, participants in the lowest tertile of serum sodium had a 1.77-fold increased risk of MCI (95% CI: 1.02&#x2013;3.06) compared with those in the middle tertile, whereas no statistically significant associations were observed between the highest tertile of serum sodium and MCI risk (OR&#x2009;=&#x2009;0.99, 95% CI: 0.55&#x2013;1.77) (<xref ref-type="table" rid="tab2">Table 2</xref>). Restricted cubic spline analysis demonstrated a U-shaped relationship between serum sodium concentrations and MCI risk, with a nadir at approximately 143&#x2009;mmol/L (<xref ref-type="fig" rid="fig2">Figure 2</xref>). Below 143&#x2009;mmol/L, the risk of MCI was 1.38 (95% CI: 1.03&#x2013;1.84) for per 1 SD decrease in serum sodium.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Associations of serum sodium and frailty with MCI risk.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Exposures</th>
<th align="center" valign="top" colspan="3">Odds ratio (95% CI)</th>
<th align="center" valign="top"><italic>Ptrend</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Serum sodium</td>
<td align="center" valign="top"><bold>T1</bold></td>
<td align="center" valign="top"><bold>T2</bold></td>
<td align="center" valign="top"><bold>T3</bold></td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Median (mmol/L)</td>
<td align="center" valign="middle">139.8</td>
<td align="center" valign="middle">142.5</td>
<td align="center" valign="middle">144.6</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">No. of cases/total participants</td>
<td align="center" valign="middle">54/138</td>
<td align="center" valign="middle">34/135</td>
<td align="center" valign="middle">36/130</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Model 1</td>
<td align="center" valign="middle"><bold>1.91 (1.14, 3.20)</bold></td>
<td align="center" valign="top">1 [Reference]</td>
<td align="center" valign="middle">1.14 (0.66, 1.97)</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="middle">Model 2</td>
<td align="center" valign="middle"><bold>1.78 (1.04, 3.06)</bold></td>
<td align="center" valign="top">1 [Reference]</td>
<td align="center" valign="middle">1.02 (0.58, 1.80)</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="middle">Model 3</td>
<td align="center" valign="top"><bold>1.77 (1.02, 3.06)</bold></td>
<td align="center" valign="middle">1 [Reference]</td>
<td align="center" valign="middle">0.99 (0.55, 1.77)</td>
<td align="center" valign="top"><bold>&#x2013;</bold></td>
</tr>
<tr>
<td align="left" valign="middle"><bold>Frailty status</bold></td>
<td align="center" valign="middle"><bold>Robust</bold></td>
<td align="center" valign="middle"><bold>Prefrailty</bold></td>
<td align="center" valign="middle"><bold>Frailty</bold></td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">FRAIL score</td>
<td align="center" valign="middle">0</td>
<td align="center" valign="middle">1&#x2013;2</td>
<td align="center" valign="middle">&#x2265;3</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">No. of cases/total participants</td>
<td align="center" valign="middle">39/154</td>
<td align="center" valign="middle">51/196</td>
<td align="center" valign="middle">34/53</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Model 1</td>
<td align="center" valign="top">1 [Reference]</td>
<td align="center" valign="middle">1.04 (0.64, 1.68)</td>
<td align="center" valign="middle"><bold>5.28 (2.70, 10.30)</bold></td>
<td align="center" valign="top"><bold>&#x003C;0.01</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Model 2</td>
<td align="center" valign="top">1 [Reference]</td>
<td align="center" valign="middle">1.02 (0.62, 1.68)</td>
<td align="center" valign="middle"><bold>4.08 (2.00, 8.30)</bold></td>
<td align="center" valign="top"><bold>&#x003C;0.01</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Model 3</td>
<td align="center" valign="top">1 [Reference]</td>
<td align="center" valign="middle">0.99 (0.60, 1.64)</td>
<td align="center" valign="middle"><bold>3.99 (1.95, 8.17)</bold></td>
<td align="center" valign="top"><bold>&#x003C;0.01</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>MCI, mild cognitive impairment; CI, confidence interval; T1, tertile 1; T2, tertile 2; T3, tertile 3.</p>
<p>Model 1: crude model.</p>
<p>Model 2: adjusted for gender (men or women) and age (continuous).</p>
<p>Model 3: further adjusted for BMI (&#x003C;18.5, 18.5&#x2013;23.9, 24.0&#x2013;27.9, or&#x2009;&#x2265;&#x2009;28.0), smoking status (never, past, or current), and alcohol consumption (never, past, or current).</p>
<p>Bold values indicate statistical significance.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Restricted cubic spline analysis of the association between serum sodium concentration and MCI risk. Odds ratios were calculated in logistic models after adjusting for gender (men or women), age (continuous), BMI (&#x003C;18.5, 18.5&#x2013;23.9, 24.0&#x2013;27.9, or &#x2265;28.0), smoking status (never, past, or current), and alcohol consumption (never, past, or current).</p>
</caption>
<graphic xlink:href="fnut-11-1467751-g002.tif"/>
</fig>
<p>Regarding frailty status, a significantly positive association was observed between frailty and the risk of MCI (OR&#x2009;=&#x2009;5.28, 95% CI: 2.70&#x2013;10.30); however, no significant associations were found for prefrailty. The gender- and age-adjusted model yielded a similar pattern of associations. When BMI, smoking status, and alcohol consumption were further adjusted for, participants with frailty still demonstrated an increased risk of MCI compared with those who were robust (OR&#x2009;=&#x2009;3.99, 95% CI: 1.95&#x2013;8.17). Additionally, a significantly increasing linear trend was observed between frailty status and MCI risks (<italic>P</italic> for trend&#x003C;0.01) (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<p>To estimate the joint association of serum sodium and frailty status with MCI risk, frailty status was dichotomized as robust/prefrailty and frailty, as prefrailty was not significantly associated with MCI risk. For participants who were robust or prefrail, both the lowest and highest tertile of serum sodium were not significantly associated with the risk of MCI. However, compared with the reference group of robust/prefrail participants in the middle tertile of serum sodium, those with frailty in the lowest and highest tertile of serum sodium demonstrated 5.52 (95% CI: 2.09&#x2013;14.52) and 3.48 (95% CI: 1.20&#x2013;10.07) times the risk of MCI, respectively (<xref ref-type="fig" rid="fig3">Figure 3</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Joint association of serum sodium levels and frailty status with MCI risk. Odds ratios were calculated in logistic models after adjusting for gender (men or women), age (continuous), BMI (&#x003C;18.5, 18.5&#x2013;23.9, 24.0&#x2013;27.9, or &#x2265;28.0), smoking status (never, past, or current), and alcohol consumption (never, past, or current).</p>
</caption>
<graphic xlink:href="fnut-11-1467751-g003.tif"/>
</fig>
<p>In sensitivity analyses excluding 13 individuals with cancer, the associations of serum sodium and frailty status with MCI risk were largely similar to the results from primary analyses (<xref ref-type="supplementary-material" rid="SM1">Supplementary materials</xref>).</p>
</sec>
<sec sec-type="discussion" id="sec14">
<label>4</label>
<title>Discussion</title>
<p>The present study indicates that lower serum sodium concentration and frailty are associated with an elevated risk of MCI. A significantly positive association was also observed between higher serum sodium levels and the risk of MCI among individuals with frailty. These findings extended the existing evidence by demonstrating that the relationship between serum sodium and the risk of MCI varies according to frailty status.</p>
<p>Previous studies have examined the association between lower serum sodium and risks of cognitive deterioration. A cross-sectional study conducted in the elderly US population revealed that hyponatremia was significantly associated with cognitive change, particularly in memory and executive function (<xref ref-type="bibr" rid="ref15">15</xref>). In a cohort study of older community-dwelling men, individuals with lower serum sodium levels had 1.30 times the odds of cognitive impairment compared to those with sodium levels of 141&#x2013;142&#x2009;mmol/L (<xref ref-type="bibr" rid="ref16">16</xref>). Despite the heterogeneity in study samples and the various assessment instruments for cognitive function, the consistent findings across studies are that a reduction in serum sodium concentration can adversely impact cognitive functioning. Our study similarly suggests that lower serum sodium is significantly associated with an elevated risk of MCI among hospitalized older adults with chronic conditions. The neurological detriment of lower serum sodium can primarily be attributed to the abnormality of osmotic pressure in the brain. In response to hypotonicity, astrocyte swelling can induce the release of electrolytes and organic osmolytes (<xref ref-type="bibr" rid="ref35">35</xref>), some of which act as excitatory neurotransmitters (e.g., glutamate) and play a crucial role in neuronal damage (<xref ref-type="bibr" rid="ref10">10</xref>). Another potential mechanism linking lower serum sodium to MCI involves impaired neuronal mitochondrial distribution and decreased ATP production (<xref ref-type="bibr" rid="ref36">36</xref>). In primary neurons cultured in a hyponatremic medium, Fujisawa et al. found that mitochondria disappeared from neurites, suggesting that chronic hyponatremia impairs mitochondrial function (<xref ref-type="bibr" rid="ref36">36</xref>), which may deleteriously affect neuritic transport by regulating cellular energy production and oxidative stress control (<xref ref-type="bibr" rid="ref37">37</xref>). In older adults, chronic hyponatremia is common but often rather mild and asymptomatic (<xref ref-type="bibr" rid="ref38">38</xref>). Our results indicate that reduced serum sodium could constitute a modifiable target for preventing cognitive dysfunction, especially in older adults with chronic diseases.</p>
<p>A significant association between frailty and MCI risk was observed, aligning with previous evidence (<xref ref-type="bibr" rid="ref23">23</xref>, <xref ref-type="bibr" rid="ref39">39</xref>, <xref ref-type="bibr" rid="ref40">40</xref>). For example, a cross-sectional study of Chinese middle-aged and elderly people found that frailty was significantly associated with lower Mini-mental State Examination scores and increased MCI risk (<xref ref-type="bibr" rid="ref39">39</xref>). Similarly, cohort studies of community-dwelling older adults have demonstrated that frailty is associated with a subsequent decline in cognitive function within 12&#x2009;months (<xref ref-type="bibr" rid="ref23">23</xref>) or over 2&#x2009;years (<xref ref-type="bibr" rid="ref40">40</xref>). The possible mechanisms underlying the association of frailty and cognitive impairment may be diverse, including inflammation and oxidative stress. Chronic proinflammatory activation (e.g., IL-6, TNF-<italic>&#x03B1;</italic>) is a cardinal pathophysiologic process contributing to frailty (<xref ref-type="bibr" rid="ref41">41</xref>), and inflammation has been implicated in the neuropathological cascade through modulating the amyloid protein precursor processing and increasing the production of amyloid-&#x03B2;42 peptide (<xref ref-type="bibr" rid="ref42">42</xref>). Moreover, frailty is associated with oxidative imbalance due to overproduction or insufficient elimination of reactive oxygen species (<xref ref-type="bibr" rid="ref43">43</xref>, <xref ref-type="bibr" rid="ref44">44</xref>). Compared to robust older adults, individuals with frailty have higher levels of oxidative stress (<xref ref-type="bibr" rid="ref45">45</xref>), which may trigger synaptic dysfunction and cognitive decline (<xref ref-type="bibr" rid="ref46">46</xref>, <xref ref-type="bibr" rid="ref47">47</xref>). It has been proposed that the detrimental association between frailty and cognitive impairment could be bidirectional (<xref ref-type="bibr" rid="ref48">48</xref>). Therefore, interventions aimed at improving components of frailty may mitigate the risk of MCI in hospitalized older adults with chronic diseases.</p>
<p>It should be noted that higher serum sodium was significantly associated with an elevated risk of MCI in older adults with frailty, while no associations were found for individuals who were robust or prefrail. Similarly, Wei and colleagues found that functional disability attributed to malnutrition were more likely to be associated with frailty (<xref ref-type="bibr" rid="ref49">49</xref>). One potential mechanism of action for these divergent associations is that frailty could aggravate hyperosmotic stress and cell dehydration, severely impacting the structure and function of intracellular proteins (<xref ref-type="bibr" rid="ref50">50</xref>). Our study provides complementary evidence supporting the notion that frailty represents a state of increased vulnerability to poor resolution of homeostasis following stress (<xref ref-type="bibr" rid="ref20">20</xref>). Sodium is one of the most important extracellular ions for regulating osmotic pressure, which governs the exchange of water between intracellular and extracellular spaces (<xref ref-type="bibr" rid="ref51">51</xref>). Once the body systems lose their in-built reserves, frailty could make cells more sensitive to elevated serum sodium, potentially contributing to dehydration (<xref ref-type="bibr" rid="ref52">52</xref>). Suboptimal hydration may subsequently increase cortisol levels (<xref ref-type="bibr" rid="ref53">53</xref>), which can affect memory function and speed of information processing (<xref ref-type="bibr" rid="ref54">54</xref>). Another potential mechanism is pertinent to sodium-induced inflammation (<xref ref-type="bibr" rid="ref55">55</xref>). Higher serum sodium may upregulate systemic inflammatory responses (<xref ref-type="bibr" rid="ref14">14</xref>) and amplify the already elevated inflammatory responses in older adults with frailty (<xref ref-type="bibr" rid="ref56">56</xref>), thereby synergistically exacerbating the neurotoxic effects of inflammation. The results of our study indicate that higher serum sodium can be a surrogate marker for MCI in older adults with frailty. Nonetheless, further studies are needed to elucidate the mechanism underlying the observed associations of serum sodium with MCI risk, particularly as modified by frailty status.</p>
<p>This study has several limitations that should be acknowledged when interpreting the findings. Firstly, the cross-sectional design precludes the establishment of causal relationships between exposures and health outcomes. Future research should employ longitudinal designs or randomized controlled trials to determine the temporal sequence of serum sodium levels, frailty, and MCI. Secondly, although several potential confounders were collected and controlled for in the multivariate models, we could not rule out the possibility that unmeasured confounders may have influenced the results. Thirdly, almost all the participants had a serum sodium level not exceeding the criteria of hyponatremia and hypernatremia, which may underestimate the detrimental effects of altered sodium homeostasis on cognitive functioning. Fourthly, because natremia is a highly variable value, and cerebral cells can respond to changes in serum osmolality to maintain homeostasis, a single, punctual value may not be sufficiently representative. Therefore, serum sodium variance over time should be considered when examining the effects of serum sodium on MCI risks. Fifthly, the MCI of participants was measured by the MoCA scale only, a brief screening tool for global cognitive function, rather than a combination with comprehensive neuropsychological test assessments. However, this tool has indicated high sensitivity and specificity for the detection of MCI in various populations (<xref ref-type="bibr" rid="ref57">57</xref>, <xref ref-type="bibr" rid="ref58">58</xref>). Finally, the findings of this study, conducted among hospitalized older adults with chronic diseases, may not be generalizable to other populations due to the specific characteristics and conditions of the study sample.</p>
</sec>
<sec sec-type="conclusions" id="sec15">
<label>5</label>
<title>Conclusion</title>
<p>In conclusion, participants with lower serum sodium or frailty are more likely to have MCI. If meeting the criteria of frailty, higher serum sodium also imposes an increased risk of MCI to hospitalized older adults with chronic diseases. Additional studies should be conducted to confirm whether the correction of lower and higher serum sodium in older adults with frailty improves their cognitive function. In addition, future studies are needed to examine if these associations are similar in other aging populations and to elucidate the mechanism underlying such relationships.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec16">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="sec17">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Ethics Committee of the First Affiliated Hospital of Xi&#x2019;an Jiaotong University (KYLLSL-2021-425). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="sec18">
<title>Author contributions</title>
<p>ZH: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Formal analysis, Conceptualization. LW: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft. JD: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Formal analysis. FL: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Data curation. LC: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Data curation. YL: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Data curation. YT: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Data curation. LM: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Conceptualization. XL: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Supervision, Conceptualization.</p>
</sec>
<sec sec-type="funding-information" id="sec19">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was supported by the Fundamental Research Funds for the Central Universities (SK2023004) and the Key Research Base of Philosophy and Social Sciences in Shaanxi (23JZ015).</p>
</sec>
<ack>
<p>We would like to express great appreciation to all the older adults for their participation in this study.</p>
</ack>
<sec sec-type="COI-statement" id="sec20">
<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="sec21">
<title>Publisher&#x2019;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>
<sec sec-type="supplementary-material" id="sec22">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fnut.2024.1467751/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fnut.2024.1467751/full#supplementary-material</ext-link></p>
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