Frontiers in Aging Neuroscience最新文献

{"title":"Rejuvenation factor PF4: a potential gatekeeper for neurodegenerative diseases.","authors":"Fengju Jia, Xiaoli Shen","doi":"10.3389/fnagi.2024.1482922","DOIUrl":"10.3389/fnagi.2024.1482922","url":null,"abstract":"<p><p>Recently, it is discovered PF4 is a cognitive enhancer that improved the cognitive abilities of younger mice and gave older animals their middle-aged acuity back. PF4 works by reducing inflammation during the aging process. As we all known, aging is undoubtedly the main risk factor of neurodegenerative diseases. Furthermore, inflammation has been extensively investigated and attracted even more interest. Therefore, the aim of the proposal is to highlight the worth of PF4 in inflammaging of neurodegenerative diseases, which might provide a potential therapeutic strategy.</p>","PeriodicalId":12450,"journal":{"name":"Frontiers in Aging Neuroscience","volume":"16 ","pages":"1482922"},"PeriodicalIF":4.1,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11446785/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142371485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum: Neurophysiological hallmarks of Huntington's disease progression: an EEG and fMRI connectivity study.","authors":"Natalya V Ponomareva, Sergey A Klyushnikov, Natalia Abramycheva, Rodion N Konovalov, Marina Krotenkova, Ekaterina Kolesnikova, Daria Malina, Gusel Urazgildeeva, Elena Kanavets, Andrey Mitrofanov, Vitaly Fokin, Evgeny Rogaev, Sergey N Illarioshkin","doi":"10.3389/fnagi.2024.1487201","DOIUrl":"https://doi.org/10.3389/fnagi.2024.1487201","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.3389/fnagi.2023.1270226.].</p>","PeriodicalId":12450,"journal":{"name":"Frontiers in Aging Neuroscience","volume":"16 ","pages":"1487201"},"PeriodicalIF":4.1,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11447699/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142374006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Acceleration of brain aging after small-volume infarcts.","authors":"Ying-Ju Peng, Chen-Yuan Kuo, Sheng-Wei Chang, Ching-Po Lin, Yuan-Hsiung Tsai","doi":"10.3389/fnagi.2024.1409166","DOIUrl":"10.3389/fnagi.2024.1409166","url":null,"abstract":"<p><strong>Introduction: </strong>Previous studies have shown that stroke patients exhibit greater neuroimaging-derived biological \"brain age\" than control subjects. This difference, known as the brain age gap (BAG), is calculated by comparing the chronological age with predicted brain age and is used as an indicator of brain health and aging. However, whether stroke accelerates the process of brain aging in patients with small-volume infarcts has not been established. By utilizing longitudinal data, we aimed to investigate whether small-volume infarctions can significantly increase the BAG, indicating accelerated brain aging.</p><p><strong>Methods: </strong>A total of 123 stroke patients presenting with small-volume infarcts were included in this retrospective study. The brain age model was trained via established protocols within the field of machine learning and the structural features of the brain from our previous study. We used <i>t</i>-tests and regression analyses to assess longitudinal brain age changes after stroke and the associations between brain age, acute stroke severity, and poststroke outcome factors.</p><p><strong>Results: </strong>Significant brain aging occurred between the initial and 6-month follow-ups, with a mean increase in brain age of 1.04 years (<i>t</i> = 3.066, <i>p</i> < 0.05). Patients under 50 years of age experienced less aging after stroke than those over 50 years of age (<i>p</i> = 0.245). Additionally, patients with a National Institute of Health Stroke Scale score >3 at admission presented more pronounced adverse effects on brain aging, even after adjusting for confounders such as chronological age, sex, and total intracranial volume (<i>F</i> _1,117 = 7.339, <i>p</i> = 0.008, <i>η</i> ² = 0.059). There were significant differences in the proportional brain age difference at 6 months among the different functional outcome groups defined by the Barthel Index (<i>F</i> _2,118 = 4.637, <i>p</i> = 0.012, <i>η</i> ² = 0.073).</p><p><strong>Conclusion: </strong>Stroke accelerates the brain aging process, even in patients with relatively small-volume infarcts. This phenomenon is particularly accentuated in elderly patients, and both stroke severity and poststroke functional outcomes are closely associated with accelerated brain aging. Further studies are needed to explore the mechanisms underlying the accelerated brain aging observed in stroke patients, with a particular focus on the structural alterations and plasticity of the brain following minor strokes.</p>","PeriodicalId":12450,"journal":{"name":"Frontiers in Aging Neuroscience","volume":"16 ","pages":"1409166"},"PeriodicalIF":4.1,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11464776/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142399916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum: Serum TRPA1 mediates the association between olfactory function and cognitive function.","authors":"Xiaoniu Liang, Zhenxu Xiao, Jie Wu, Xiaoxi Ma, Qianhua Zhao, Ding Ding","doi":"10.3389/fnagi.2024.1485432","DOIUrl":"https://doi.org/10.3389/fnagi.2024.1485432","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.3389/fnagi.2024.1411031.].</p>","PeriodicalId":12450,"journal":{"name":"Frontiers in Aging Neuroscience","volume":"16 ","pages":"1485432"},"PeriodicalIF":4.1,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11446809/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142371483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A new test for evaluation of marginal cognitive function deficits in idiopathic normal pressure hydrocephalus through expressing texture recognition by sound symbolic words","authors":"Chihiro Kamohara, Madoka Nakajima, Yuji Nozaki, Taiki Ieda, Kaito Kawamura, Kou Horikoshi, Ryo Miyahara, Chihiro Akiba, Ikuko Ogino, Kostadin L. Karagiozov, Masakazu Miyajima, Akihide Kondo, Maki Sakamoto","doi":"10.3389/fnagi.2024.1456242","DOIUrl":"https://doi.org/10.3389/fnagi.2024.1456242","url":null,"abstract":"IntroductionThe number of dementia patients is increasing with population aging. Preclinical detection of dementia in patients is essential for access to adequate treatment. In previous studies, dementia patients showed texture recognition difficulties. Onomatopoeia or sound symbolic words (SSW) are intuitively associated with texture impressions and are less likely to be affected by aphasia and description of material perception can be easily obtained. In this study, we aimed to create a test of texture recognition ability expressed by SSW to detect the presence of mild cognitive disorders.MethodsThe sound symbolic words texture recognition test (SSWTRT) is constructed from 12 close-up photos of various materials and participants were to choose the best SSW out of 8 choices to describe surface texture in the images in Japanese. All 102 participants seen in Juntendo University Hospital from January to August 2023 had a diagnosis of possible iNPH (age mean 77.9, SD 6.7). The answers were scored on a comprehensive scale of 0 to 1. Neuropsychological assessments included MMSE, FAB, and the Rey Auditory Verbal Learning Test (RAVLT), Pegboard Test, and Stroop Test from the EU-iNPH Grading Scale (GS). In study 1 the correlation between SSWTRT and the neuropsychological tests were analyzed. In study 2, participants were divided into two groups: the Normal Cognition group (Group A, <jats:italic>n</jats:italic> = 37) with MMSE scores of 28 points or above, and the Mild Cognitive Impairment group (Group B, <jats:italic>n</jats:italic> = 50) with scores ranging from 22 to 27 points, and its predictability were analyzed.ResultsIn study 1, the total SSWTRT score had a moderate correlation with the neuropsychological test results. In study 2, there were significant differences in the SSWTRT scores between groups A and B. ROC analysis results showed that the SSWTR test was able to predict the difference between the normal and mildly impaired cognition groups.ConclusionThe developed SSWTRT reflects the assessment results of neuropsychological tests in cognitive deterioration and was able to detect early cognitive deficits. This test not only relates to visual perception but is likely to have an association with verbal fluency and memory ability, which are frontal lobe functions.","PeriodicalId":12450,"journal":{"name":"Frontiers in Aging Neuroscience","volume":"102 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142267053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Primary cilia in Parkinson's disease: summative roles in signaling pathways, genes, defective mitochondrial function, and substantia nigra dopaminergic neurons.","authors":"Zijiao Tian, Yixin Zhang, Jing Xu, Qianwen Yang, Die Hu, Jing Feng, Cong Gai","doi":"10.3389/fnagi.2024.1451655","DOIUrl":"10.3389/fnagi.2024.1451655","url":null,"abstract":"<p><p>Primary cilia (PC) are microtubules-based, independent antennal-like sensory organelles, that are seen in most vertebrate cells of different types, including astrocytes and neurons. They send signals to cells to control many physiological and cellular processes by detecting changes in the extracellular environment. Parkinson's disease (PD), a neurodegenerative disease that progresses over time, is primarily caused by a gradual degradation of the dopaminergic pathway in the striatum nigra, which results in a large loss of neurons in the substantia nigra compact (SNpc) and a depletion of dopamine (DA). PD samples have abnormalities in the structure and function of PC. The alterations contribute to the cause, development, and recovery of PD via influencing signaling pathways (SHH, Wnt, Notch-1, α-syn, and TGFβ), genes (MYH10 and LRRK2), defective mitochondrial function, and substantia nigra dopaminergic neurons. Thus, restoring the normal structure and physiological function of PC and neurons in the brain are effective treatment for PD. This review summarizes the function of PC in neurodegenerative diseases and explores the pathological mechanisms caused by PC alterations in PD, in order to provide references and ideas for future research.</p>","PeriodicalId":12450,"journal":{"name":"Frontiers in Aging Neuroscience","volume":"16 ","pages":"1451655"},"PeriodicalIF":4.1,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11447156/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142371484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cognitive processing speed improvement after cochlear implantation","authors":"Isabelle Mosnier, Joël Belmin, Domenico Cuda, Raquel Manrique Huarte, Mathieu Marx, Angel Ramos Macias, Riad Khnifes, Ohad Hilly, Roberto Bovo, Chris J. James, Petra L. Graham, Paula Greenham","doi":"10.3389/fnagi.2024.1444330","DOIUrl":"https://doi.org/10.3389/fnagi.2024.1444330","url":null,"abstract":"BackgroundUntreated hearing loss has an effect on cognition. It is hypothesized that the additional processing required to compensate for the sensory loss affects the cognitive resources available for other tasks and that this could be mitigated by a hearing device.MethodsThe impact on cognition of cochlear implants (CIs) was tested in 100 subjects, ≥60 years old, with bilateral moderately-severe to profound post linguistic deafness using hearing aids. Data was compared pre and 12 and 18 months after cochlear implantation for the speech spatial qualities questionnaire, Mini Mental State Examination (MMSE), Trail making test B (TMTB) and digit symbol coding (DSC) from the Wechsler Adult Intelligence Scale version IV and finally the timed up and go test (TUG). Subjects were divided into young old (60–64), middle old (65–75) and old old (75+) groups. Cognitive test scores and times were standardized according to available normative data.ResultsHearing significantly improved pre- to post-operatively across all age groups. There was no change post-implant in outcomes for TMTB, TUG or MMSE tests. Age-corrected values were within normal expectations for all age groups for the TUG and MMSE. However, DSC scores and TMTB times were worse than normal. There was a significant increase in DSC scores between baseline and 12-months for 60- to 64-year-olds (<jats:italic>t</jats:italic>[153] = 2.608, <jats:italic>p</jats:italic> = 0.027), which remained at 18 months (<jats:italic>t</jats:italic>[153] = 2.663, <jats:italic>p</jats:italic> = 0.023).DiscussionThe improved attention and processing speed in the youngest age group may be a consequence of reallocation of cognitive resources away from auditory processing due to greatly improved hearing. The oldest age group of participants had cognition scores closest to normal values, suggesting that only the most able older seniors tend to come forward for a CI. Severe to profoundly deaf individuals with hearing aids or cochlear implants were still poorer than age-equivalent normally hearing individuals with respect to cognitive flexibility, attention, working memory, processing speed and visuoperceptual functions. Due to a lack of data for the TUG, TMTB and DSC in the literature for hearing impaired individuals, the results reported here provide an important set of reference data for use in future research.","PeriodicalId":12450,"journal":{"name":"Frontiers in Aging Neuroscience","volume":"20 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142267404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association between cerebral blood flow variation and cognitive decline in older patients undergoing hemodialysis","authors":"Yidan Guo, Wei Cui, Pengpeng Ye, Yang Luo","doi":"10.3389/fnagi.2024.1457675","DOIUrl":"https://doi.org/10.3389/fnagi.2024.1457675","url":null,"abstract":"BackgroundThe mechanism of cognitive impairment in hemodialysis patients is multifactorial. The relationship between cerebral blood flow and the decline of cognitive function is poorly understood.ObjectiveTo investigate the association between cerebral blood flow variation and decline of cognitive function in older patients undergoing hemodialysis.MethodsIn this prospective observational cohort study of 121 older patients undergoing hemodialysis, we used transcranial Doppler ultrasound (TCD) to measure cerebral arterial mean flow velocity (MFV) throughout dialysis, assessed cognitive function at baseline and 12-month follow-up, and then analyzed associations between MFV and changes on cognitive scores.ResultsTCD recordings demonstrated a significant reduction in MFV throughout dialysis, which were significantly correlated with cumulative ultrafiltration volume (rho 0.356, <jats:italic>p</jats:italic> &amp;lt; 0.001), ΔSBP (rho 0.251, <jats:italic>p</jats:italic> = 0.005), and ΔMAP (rho 0.194, <jats:italic>p</jats:italic> = 0.032). Compared with the baseline assessments, cognitive scores of participants at the 12-month follow-up were significantly worsened in global cognition (MOCA), some tests of memory (CFT-memory), executive function (TMT-B, SCWT-C, and SCWT-T), attention/processing speed (SDMT), and visuospatial function (CFT-copy) (<jats:italic>p</jats:italic> &amp;lt; 0.05). The worsening scores in global cognition (MOCA) (<jats:italic>β</jats:italic> = 0.066, 95% CI 0.018–0.113, <jats:italic>p</jats:italic> = 0.007) and some tests of memory (AVLT5) (<jats:italic>β</jats:italic> = 0.050, 95% CI 0.004–0.097, <jats:italic>p</jats:italic> = 0.035) and executive function (TMT-B, SCWT-C, SCWT-T) (<jats:italic>β</jats:italic> = 1.955, 95% CI 0.457–3.453, <jats:italic>p</jats:italic> = 0.011; <jats:italic>β</jats:italic> = 0.298, 95% CI 0.112–0.484, <jats:italic>p</jats:italic> = 0.002 and <jats:italic>β</jats:italic> = 1.371, 95% CI 0.429–2.303, <jats:italic>p</jats:italic> = 0.004, respectively) were significantly associated with the reduction of MFV.ConclusionHemodialysis may significantly reduce cerebral blood flow in older patients; Repetitive intradialytic decreases in CBF may be one of the mechanisms underlying the decline of cognitive function.Clinical trial registration<jats:uri>https://register.clinicaltrials.gov/prs/app/action/SelectProtocol?sid=S000C5B5&amp;amp;selectaction=Edit&amp;amp;uid=U0003QEL&amp;amp;ts=4&amp;amp;cx=-djoi2</jats:uri>","PeriodicalId":12450,"journal":{"name":"Frontiers in Aging Neuroscience","volume":"28 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142267193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Disruptive and complementary effects of depression symptoms on spontaneous brain activity in the subcortical vascular mild cognitive impairment","authors":"Liyu Hu, Jianxiang Chen, Xinbei Li, Haoran Zhang, Jinhuan Zhang, Yingqi Lu, Jie Lian, Haibo Yu, Nan Yang, Jianjun Wang, Hanqing Lyu, Jinping Xu","doi":"10.3389/fnagi.2024.1338179","DOIUrl":"https://doi.org/10.3389/fnagi.2024.1338179","url":null,"abstract":"BackgroundAlthough depression symptoms are commonly reported in patients with subcortical vascular mild cognitive impairment (svMCI), their impact on brain functions remains largely unknown, with diagnoses mainly dependent on behavioral assessments.MethodsIn this study, we analyzed resting-state fMRI data from a cohort of 34 svMCI patients, comprising 18 patients with depression symptoms (svMCI+D) and 16 patients without (svMCI-D), along with 34 normal controls (NC). The study used the fraction of the amplitude of low-frequency fluctuations (fALFF), resting-state functional connectivity, correlation analyses, and support vector machine (SVM) techniques.ResultsThe fALFF of the right cerebellum (CERE.R) differed among the svMCI+D, svMCI-D, and NC groups. Specifically, the regional mean fALFF of CERE. R was lower in svMCI-D patients compared to NC but higher in svMCI+D patients compared to svMCI-D patients. Moreover, the adjusted fALFF of CERE. R showed a significant correlation with Montreal Cognitive Assessment (MOCA) scores in svMCI-D patients. The fALFF of the right orbital part of the superior frontal gyrus was significantly correlated with Hamilton Depression Scale scores in svMCI+D patients, whereas the fALFF of the right postcingulate cortex (PCC.R) showed a significant correlation with MOCA scores in svMCI-D patients. Furthermore, RSFC between PCC. R and right precuneus, as well as between CERE. R and the right lingual gyrus (LING.R), was significantly reduced in svMCI-D patients compared to NC. In regional analyses, the adjusted RSFC between PCC. R and PreCUN. R, as well as between CERE. R and LING. R, was decreased in svMCI-D patients compared to NC but increased in svMCI+D patients compared to svMCI-D. Further SVM analyses achieved good performances, with an area under the curve (AUC) of 0.82 for classifying svMCI+D, svMCI-D, and NC; 0.96 for classifying svMCI+D and svMCI-D; 0.82 for classifying svMCI+D and NC; and 0.92 for classifying svMCI-D and NC.ConclusionThe study revealed disruptive effects of cognitive impairment, along with both disruptive and complementary effects of depression symptoms on spontaneous brain activity in svMCI. Moreover, these findings suggest that the identified features might serve as potential biomarkers for distinguishing between svMCI+D, svMCI-D, and NC, thereby guiding clinical treatments such as transcranial magnetic stimulation for svMCI.","PeriodicalId":12450,"journal":{"name":"Frontiers in Aging Neuroscience","volume":"37 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142267192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of sleep quality with cognitive dysfunction in middle-aged and elderly adults: a cross-sectional study in China.","authors":"Mengyang Jiang, Yang Liu, Xin Wang, Yuhe Liu, Xuan Deng, Xiaoyu Zhang, Baoguo Wang","doi":"10.3389/fnagi.2024.1417349","DOIUrl":"10.3389/fnagi.2024.1417349","url":null,"abstract":"<p><strong>Objectives: </strong>Sleep is an indispensable part of human health, which can help us to restore physical strength, enhance immunity and maintain nervous system stability. The relationship between sleep quality and cognitive dysfunction is unclear, especially at the community population level. This study aims to explore the association between sleep quality and cognitive dysfunction.</p><p><strong>Methods: </strong>A total of 5,224 community residents were enrolled in this cross-sectional study. Cognitive function was assessed by the Mini-Mental State Examination (MMSE). Sleep quality was assessed by the multidimensional sleep questionnaire. Multivariate logistic regression was used to analyze the association between sleep quality and cognitive dysfunction. The adjusted models took into account relevant demographic, clinical, and sleep variables.</p><p><strong>Results: </strong>A total of 3,106 participants were enrolled in this study, of whom 463 (15%) had cognitive dysfunction. Total sleep duration, staying up, sleep latency, number of awakenings, and history of sleep medications were associated with cognitive dysfunction in unadjusted models, and these effects were consistent after adjustment. First, those who slept 6-7.9 h per day (OR = 0.57, 95% CI 0.40 to 0.80, <i>p</i> = 0.001) had a lower risk for cognitive dysfunction compared to those who slept less than 6 h per day. Second, participants who stayed up more than 10 times over the 3 months (OR = 1.90, 95% CI 1.20 to 3.00, <i>p</i> = 0.006) were more likely to suffer cognitive dysfunction than those who never stayed up. Third, we also found that participants with sleep latencies of 16-30 min were less likely to experience cognitive dysfunction than those with sleep latencies of less than 16 min after adjusting confounders (OR = 0.33, 95% CI 0.23 to 0.47, <i>p</i> < 0.001). Fourth, participants who woke up once (OR = 1.65, 95% CI 1.19 to 2.30, <i>p</i> = 0.003) and three or more times (OR = 2.34, 95% CI 1.25 to 4.36, <i>p</i> = 0.008) after falling asleep had a higher risk than those who did not wake up at night. Last, participants taking sleep medication (OR = 2.97, 95% CI 1.19 to 7.45, <i>p</i> = 0.020) were more vulnerable to cognitive dysfunction, relative to participants without taking any medications.</p><p><strong>Conclusion: </strong>Our results suggest that after adjustment for potential confounding variables, poor sleep quality is associated with cognitive dysfunction.</p>","PeriodicalId":12450,"journal":{"name":"Frontiers in Aging Neuroscience","volume":"16 ","pages":"1417349"},"PeriodicalIF":4.1,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11439658/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142344649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}