Dementia and Geriatric Cognitive Disorders最新文献

{"title":"Exploring Interrelationships between Mental Health Symptoms and Cognitive Impairment in Aging People Living with HIV in China.","authors":"Chunlan Ma, Bin Yu, Yunzhe Fan, Peng Jia, Shujuan Yang","doi":"10.1159/000536056","DOIUrl":"10.1159/000536056","url":null,"abstract":"<p><strong>Introduction: </strong>Mental health symptoms and cognitive impairment are highly prevalent and intertwined among aging people living with HIV (PLWH). This study aimed to assess the interrelationships and strength of connections between individual mental health symptoms and cognitive impairment. We sought to identify specific symptoms linking mental health and cognitive impairment in aging PLWH.</p><p><strong>Methods: </strong>Participants in the Sichuan Older People with HIV Infections Cohort Study (SOHICS) were recruited between November 2018 and April 2021 in China. Mental health symptoms, including depression and anxiety, were assessed by the Patient Health Questionnaire (PHQ-9) and General Anxiety Disorder-7 (GAD-7), respectively. Cognitive impairment was assessed by the Montreal Cognitive Assessment-Basic (MoCA-B). Partial correlation networks were used to depict the interrelationships between mental health symptoms and cognitive impairment, and bridge strength was used to identify specific symptoms linking mental health and cognitive impairment.</p><p><strong>Results: </strong>Of the 1,587 recruited participants with a mean age of 63.0 years old, 47.0% had mild or severe cognitive impairment. Network analysis revealed that cognitive function, visual perception, and problem-solving task of the MoCA-B were negatively correlated with appetite, energy, and motor of the PHQ-9, respectively. Based on their interrelationships, problem-solving task and motor acted as bridge symptoms.</p><p><strong>Conclusion: </strong>Problem-solving task and motor may be potential intervention targets to reduce the overall risk of mental health symptoms and cognitive impairment. Future research could assess the feasibility and effectiveness of specific interventions designed for the two symptoms of aging PLWH.</p>","PeriodicalId":11126,"journal":{"name":"Dementia and Geriatric Cognitive Disorders","volume":" ","pages":"19-28"},"PeriodicalIF":2.4,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139484850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Systematic Review and Meta-Analysis on the Prevalence of Mild Cognitive Impairment and Dementia in Mexico.","authors":"Valeria Magallón-Zertuche, Angel Gabriel Garrido-Dzib, Elizabeth Salazar-Gonzalez, Diana Gabriela González-Castro, Geovanni Chávez-Loría, Azalia Avila-Nava, Ana Ligia Gutiérrez-Solis","doi":"10.1159/000539560","DOIUrl":"10.1159/000539560","url":null,"abstract":"<p><strong>Introduction: </strong>Age remains one of the major risk factors for the onset of mild cognitive impairment (MCI) and dementia. Studies on the prevalence of these conditions in Mexico used different methods, tools, and populations with different health statuses. All these heterogeneous results may be a problem in identifying the true prevalence of MCI and dementia in Mexico. To our knowledge, there is not a systematic review available that presents essential figures on the prevalence of these conditions in Mexico. Therefore, we intend to access the maximum number of reports published on the topic and determine the prevalence of MCI and dementia in older Mexican adults.</p><p><strong>Methods: </strong>A systematic review using PubMed, Cochrane, Research Gate, Lilacs, and Scielo databases was performed. Meta-analysis of the prevalence of MCI and dementia was performed using a random-effects model and presented in a forest plot among cross-sectional, epidemiological, and pooled studies.</p><p><strong>Results: </strong>Sixteen articles were included. The overall prevalence of MCI of 18% (95% CI 0.10-0.27) was estimated from pooled information from 12 selected studies, in women 21% (95% CI 0.08-0.38) and in men 18% (95% CI 0.06-0.33). The overall prevalence of dementia of 10% (95% CI 0.06-0.14) was estimated from pooled information from 9 selected studies, in women 14% (95% CI 0.05-0.25) and in men 10% (95% CI 0.04-0.17).</p><p><strong>Conclusion: </strong>Mexican older individuals have a similar prevalence of dementia and MCI as reported by international data; nevertheless, the prevalence is higher than in some Latin American countries. Mexico has particular issues that must be resolved, such as a lack of research in the southern regions of the country and the high incidence of comorbidities.</p>","PeriodicalId":11126,"journal":{"name":"Dementia and Geriatric Cognitive Disorders","volume":" ","pages":"274-288"},"PeriodicalIF":2.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141300313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of Aerobic Exercise and Resistance Training on Cognitive Function: Comparative Study Based on FNDC5/Irisin/BDNF Pathway.","authors":"Sho Izawa, Kazuhiro Nishii, Naoki Aizu, Takumi Kito, Daiki Iwata, Takeshi Chihara, Hirohide Sawada, Runhong Yao, Kouji Yamada","doi":"10.1159/000541093","DOIUrl":"10.1159/000541093","url":null,"abstract":"<p><strong>Introduction: </strong>Exercise has been recommended to suppress or prevent cognitive decline. Aerobic exercise (AE) may suppress cognitive decline via the fibronectin type III domain-containing protein 5 (FNDC5)/irisin/brain-derived neurotrophic factor (BDNF) pathway, and resistance training (RT) has a preventive effect on cognitive decline. However, the underlying mechanism remains unclear. This study verified the differences in the effects of AE and RT in suppressing and preventing cognitive decline based on the FNDC5/irisin/BDNF pathway.</p><p><strong>Methods: </strong>We divided senescence-accelerated mouse-prone 8 into three groups: control (CON), AE, and RT and evaluated their memory during exercise intervention through a novel object recognition (NOR) task. We quantified FNDC5/irisin, mBDNF, and TrkB in the hippocampus using enzyme-linked immunosorbent assay and FNDC5 in skeletal muscle using Western blotting (WB).</p><p><strong>Results: </strong>Behavioral analysis using NOR showed that values for both AE and RT were significantly greater than those for CON. WB analysis showed that the peripheral FNDC5 expression in the skeletal muscle was increased in AE. The expression levels of FNDC5/irisin and mBDNF in the hippocampus were significantly increased in both AE and RT compared with that in CON but that if TrkB was increased only in AE.</p><p><strong>Conclusion: </strong>No significant difference was observed between AE and RT in the inhibitory effect on age-related cognitive decline, and both groups were effective. The FNDC5/Irisin/BDNF pathway, which was the focus of this experiment, may be specific to AE. The mechanism that suppresses cognitive decline may differ depending on the type of exercise.</p>","PeriodicalId":11126,"journal":{"name":"Dementia and Geriatric Cognitive Disorders","volume":" ","pages":"329-337"},"PeriodicalIF":2.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142072317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Defining the Role of Frailty in the Transition from Mild Cognitive Impairment to Dementia and in Dementia Progression.","authors":"Alberto Benussi, Irene Mattioli, Chiara Silvestri, Ilenia Libri, Silvio Zampini, Maura Cosseddu, Rosanna Turrone, Claudia Amolini, Salvatore Caratozzolo, Barbara Borroni, Alessandra Marengoni, Alessandro Padovani","doi":"10.1159/000535789","DOIUrl":"10.1159/000535789","url":null,"abstract":"<p><strong>Introduction: </strong>Neurodegenerative diseases are a growing concern in an aging global population. Frailty, often conceptualized as a state of diminished physiological reserve and increased susceptibility to stressors, emerges as a pivotal factor in this context. While frailty may be modified, it is essential to recognize its frequently irreversible nature, necessitating a careful approach when considering its role and influence in the progression from mild cognitive impairment (MCI) to dementia and within dementia progression.</p><p><strong>Methods: </strong>A retrospective study including 1,284 participants, attending a Cognitive Disturbances and Dementia unit from January 2021 to May 2023, was conducted. Frailty was assessed using the clinical frailty scale (CFS) score. Multilevel univariate and multivariate logistic regression models were developed to determine the contributions of patient characteristics, including frailty, to disease progression.</p><p><strong>Results: </strong>Frailty significantly increased with higher global clinical dementia rating (CDR) subgroups, suggesting escalating frailty burden with disease progression. Age, CFS, and mini-mental state examination (MMSE) scores were significant predictors of progression from MCI to dementia and to more severe dementia stages, even when considering the independence from variables contributing to frailty. Patients transitioning to a higher CDR group exhibited higher CFS scores. Age, education, anticholinergic burden, cumulative illness rating scale - geriatric, MMSE, and neuropsychiatric inventory scores significantly contributed to frailty.</p><p><strong>Conclusions: </strong>Frailty plays a critical role in the transition from MCI to dementia and within dementia progression. Age, cognitive impairment, and frailty were identified as significant predictors of disease progression. The CFS is a clinically applicable tool for frailty assessment. Regular frailty assessments may be valuable in early detection and management of dementia.</p>","PeriodicalId":11126,"journal":{"name":"Dementia and Geriatric Cognitive Disorders","volume":" ","pages":"57-65"},"PeriodicalIF":2.4,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139989570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neuropsychiatric Profiles and Cerebral Amyloid Burden in Adults without Dementia.","authors":"Eva Q Gontrum, Emily W Paolillo, Shannon Lee, Valentina Diaz, Alexander Ehrenberg, Rowan Saloner, Nidhi S Mundada, Renaud La Joie, Gil Rabinovici, Joel H Kramer, Kaitlin B Casaletto","doi":"10.1159/000538376","DOIUrl":"10.1159/000538376","url":null,"abstract":"<p><strong>Introduction: </strong>We comprehensively evaluated how self- and informant-reported neuropsychiatric symptoms (NPS) were differentially associated with cerebral amyloid-beta (Aβ) PET levels in older adults without dementia.</p><p><strong>Methods: </strong>Two hundred and twenty-one participants (48% female, age = 73.4 years ± 8.4, Clinical Dementia Rating = 0 [n = 184] or 0.5 [n = 37]) underwent an Aβ-PET scan (florbetapir or PIB), comprehensive neuropsychological testing, and self-reported (Geriatric Depression Scale - 30 item [GDS-30]) and informant-reported interview (Neuropsychiatric Inventory Questionnaire [NPI-Q]) of NPS. Cerebral Aβ burden was quantified using centiloids (CL). NPI-Q and GDS-30 queried the presence of NPS within 4 subdomains and 6 subscales, respectively. Regression models examined the relationship between NPS and Aβ-PET CL.</p><p><strong>Results: </strong>Both higher self- and informant-reported NPS were associated with higher Aβ burden. Among specific NPI-Q subdomains, informant-reported changes in depression, anxiety, and irritability were all associated with higher Aβ-PET. Similarly, self-reported (GDS-30) subscales of depression, apathy, anxiety, and cognitive concern were associated with higher Aβ-PET. When simultaneously entered, only self-reported cognitive concern was associated with Aβ-PET in the GDS-30 model, while both informant-reported anxiety and depression were associated with Aβ-PET in the NPI-Q model. Clinical status moderated the association between self-reported NPS and Aβ-PET such that the positive relationship between self-perceived NPS and Aβ burden strengthened with increasing functional difficulties.</p><p><strong>Conclusions: </strong>In a cohort of older adults without dementia, both self- and informant-reported measures of global NPS, particularly patient-reported cognitive concerns and informant-reported anxiety and depression, corresponded with cerebral Aβ burden. NPS may appear early in the prodromal disease state and relate to initial AD proteinopathy burden, a relationship further exaggerated in those with greater clinical severity.</p>","PeriodicalId":11126,"journal":{"name":"Dementia and Geriatric Cognitive Disorders","volume":" ","pages":"119-127"},"PeriodicalIF":2.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11187670/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140183999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cerebral Amyloid Angiopathy in Patients with Cognitive Impairment: Cerebrospinal Fluid Biomarkers.","authors":"Kasia Gustaw Rothenberg, Lynn Bekris, James B Leverenz, Jenny Wu, Jonathan Lee, Volodymyr Statsevych, Paul Ruggieri, Stephen E Jones","doi":"10.1159/000539884","DOIUrl":"10.1159/000539884","url":null,"abstract":"<p><strong>Introduction: </strong>Cerebral amyloid angiopathy (CAA) is characterized by amyloid β (Aβ) deposition in brain vessels, leading to hemorrhagic phenomena and cognitive impairment. Magnetic resonance imaging (MRI)-based criteria allow a diagnosis of probable CAA in vivo, but such a diagnosis cannot predict the eventual development of CAA.</p><p><strong>Methods: </strong>We conducted a retrospective cohort study of 464 patients with cognitive disorders whose data were included in a brain health biobank. De-identified parameters including sex, age, cognitive score, APOE status, and cerebrospinal fluid (CSF) levels of Aβ 1-40, Aβ 1-42, phosphorylated tau, and total tau were assessed in those with and without CAA. Odds ratios (ORs) and 95% confidence intervals (CIs) were determined.</p><p><strong>Results: </strong>CAA was present in 53 of 464 (11.5%) patients. P-tau level was significantly higher in those with CAA (115 vs. 84.3 pg/mL p = 0.038). In univariate analyses, the risk of developing CAA was higher with increased age (OR, 1.036; 95% CI: 1.008, 1.064; p = 0.011) and decreased CSF level of Aβ 1-40 (OR, 0.685; 95% CI: 0.534, 0.878; p = 0.003). In multivariate analyses, the risk of CAA remained higher with a decreased CSF level of Aβ 1-40 (OR, 0.681; 95% CI: 0.531, 0.874; p = 0.003).</p><p><strong>Conclusion: </strong>These findings suggest that Aβ 1-40 levels in the CSF might be a useful molecular biomarker of CAA in patients with dementia.</p>","PeriodicalId":11126,"journal":{"name":"Dementia and Geriatric Cognitive Disorders","volume":" ","pages":"248-254"},"PeriodicalIF":2.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11446477/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141418267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predictors of Poststroke Cognitive Decline among Stroke Survivors in Sub-Saharan Africa: A Systematic Review and Meta-Analysis.","authors":"Tigabu Munye Aytenew, Solomon Demis Kebede, Worku Necho Asferie, Sintayehu Asnakew","doi":"10.1159/000539449","DOIUrl":"10.1159/000539449","url":null,"abstract":"<p><strong>Introduction: </strong>Stroke is a devastating medical disorder associated with significant morbidity and mortality among adults and the elderly worldwide. Although numerous primary studies have been conducted to determine the pooled predictors of poststroke cognitive decline among stroke survivors in Sub-Saharan Africa, these studies presented inconsistent findings. Hence, the review aimed to determine the pooled predictors of poststroke cognitive decline among stroke survivors in Sub-Saharan Africa.</p><p><strong>Methods: </strong>The eligible studies were accessed through Google Scholar, Scopus, PubMed, and Web of Science databases. A manual search of the reference lists of included studies was performed. A weighted inverse-variance random-effects model was used to determine the pooled predictors of poststroke cognitive decline among stroke survivors in Sub-Saharan Africa.</p><p><strong>Results: </strong>A total of 1,710 stroke survivors from 10 primary studies were included in the final meta-analysis. Increased age (≥45 years) (adjusted odds ratio [AOR] = 1.32, 95% CI: 1.13, 1.54), lower educational level (AOR = 4.58, 95% CI: 2.98, 7.03), poor functional recovery (AOR = 1.75, 95% CI: 1.42, 2.15), and left hemisphere stroke (AOR = 4.88, 95% CI: 2.98, 7.99) were significantly associated with poststroke cognitive decline.</p><p><strong>Conclusions: </strong>Increased age, lower educational level, poor functional recovery, and left hemisphere stroke were the pooled independent predictors of poststroke cognitive decline in Sub-Saharan Africa Healthcare providers, and other concerned bodies should give attention to these risk factors as the early identification may help to improve the cognitive profile of stroke survivors.</p>","PeriodicalId":11126,"journal":{"name":"Dementia and Geriatric Cognitive Disorders","volume":" ","pages":"265-273"},"PeriodicalIF":2.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141317106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of Cognitive Impairment Risk among Older Adults: A Machine Learning-Based Comparative Study and Model Development.","authors":"Jianwei Li, Jie Li, Huafang Zhu, Mengyu Liu, Tengfei Li, Yeke He, Yuan Xu, Fen Huang, Qirong Qin","doi":"10.1159/000539334","DOIUrl":"10.1159/000539334","url":null,"abstract":"<p><strong>Introduction: </strong>The prevalence of cognitive impairment and dementia in the older population is increasing, and thereby, early detection of cognitive decline is essential for effective intervention.</p><p><strong>Methods: </strong>This study included 2,288 participants with normal cognitive function from the Ma'anshan Healthy Aging Cohort Study. Forty-two potential predictors, including demographic characteristics, chronic diseases, lifestyle factors, anthropometric indices, physical function, and baseline cognitive function, were selected based on clinical importance and previous research. The dataset was partitioned into training, validation, and test sets in a proportion of 60% for training, 20% for validation, and 20% for testing, respectively. Recursive feature elimination was used for feature selection, followed by six machine learning algorithms that were employed for model development. The performance of the models was evaluated using area under the curve (AUC), specificity, sensitivity, and accuracy. Moreover, SHapley Additive exPlanations (SHAP) was conducted to access the interpretability of the final selected model and to gain insights into the impact of features on the prediction outcomes. SHAP force plots were established to vividly show the application of the prediction model at the individual level.</p><p><strong>Results: </strong>The final predictive model based on the Naive Bayes algorithm achieved an AUC of 0.820 (95% CI, 0.773-0.887) on the test set, outperforming other algorithms. The top ten influential features in the model included baseline Mini-Mental State Examination (MMSE), education, self-reported economic status, collective or social activities, Pittsburgh sleep quality index (PSQI), body mass index, systolic blood pressure, diastolic blood pressure, instrumental activities of daily living, and age. The model demonstrated the potential to identify individuals at a higher risk of cognitive impairment within 3 years from older adults.</p><p><strong>Conclusion: </strong>The predictive model developed in this study contributes to the early detection of cognitive impairment in older adults by primary healthcare staff in community settings.</p>","PeriodicalId":11126,"journal":{"name":"Dementia and Geriatric Cognitive Disorders","volume":" ","pages":"169-179"},"PeriodicalIF":2.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141080887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Potentially Modifiable Risk Factors for Dementia and Mild Cognitive Impairment: An Umbrella Review and Meta-Analysis.","authors":"Aaron Jones, Muhammad Usman Ali, Meghan Kenny, Alexandra Mayhew, Vishal Mokashi, Henry He, Sabrina Lin, Ehsan Yavari, Karen Paik, Deejesh Subramanian, Robert Dydynsky, Komal Aryal, Rebecca H Correia, Darly Dash, Derek R Manis, Megan O'Connell, Teresa Liu-Ambrose, Vanessa Taler, Jacqueline M McMillan, David B Hogan, Susan Kirkland, Andrew P Costa, Christina Wolfson, Parminder Raina, Lauren Griffith","doi":"10.1159/000536643","DOIUrl":"10.1159/000536643","url":null,"abstract":"<p><strong>Introduction: </strong>The prevalence of mild and major neurocognitive disorders (NCDs), also referred to as mild cognitive impairment and dementia, is rising globally. The prevention of NCDs is a major global public health interest. We sought to synthesize the literature on potentially modifiable risk factors for NCDs.</p><p><strong>Methods: </strong>We conducted an umbrella review using a systematic search across multiple databases to identify relevant systematic reviews and meta-analyses. Eligible reviews examined potentially modifiable risk factors for mild or major NCDs. We used a random-effects multi-level meta-analytic approach to synthesize risk ratios for each risk factor while accounting for overlap in the reviews. We further examined risk factors for major NCD due to two common etiologies: Alzheimer's disease and vascular dementia.</p><p><strong>Results: </strong>A total of 45 reviews with 212 meta-analyses were synthesized. We identified fourteen broadly defined modifiable risk factors that were significantly associated with these disorders: alcohol consumption, body weight, depression, diabetes mellitus, diet, hypertension, less education, physical inactivity, sensory loss, sleep disturbance, smoking, social isolation, traumatic brain injury, and vitamin D deficiency. All 14 factors were associated with the risk of major NCD, and five were associated with mild NCD. We found considerably less research for vascular dementia and mild NCD.</p><p><strong>Conclusion: </strong>Our review quantifies the risk associated with 14 potentially modifiable risk factors for mild and major NCDs, including several factors infrequently included in dementia action plans. Prevention strategies should consider approaches that reduce the incidence and severity of these risk factors through health promotion, identification, and early management.</p>","PeriodicalId":11126,"journal":{"name":"Dementia and Geriatric Cognitive Disorders","volume":" ","pages":"91-106"},"PeriodicalIF":2.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139722017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sleep Duration and Cognitive Function: The Akershus Cardiac Examination 1950 Study.","authors":"Hege Ihle-Hansen, Gunnar Einvik, Guri Hagberg, Bente Thommessen, Ole Morten Rønning, Thea Vigen, Magnus Nakrem Lyngbakken, Trygve Berge, Helge Røsjø, Arnljot Tveit, Håkon Ihle-Hansen","doi":"10.1159/000540273","DOIUrl":"10.1159/000540273","url":null,"abstract":"<p><strong>Introduction: </strong>Sleep duration is proposed as a lifestyle-related risk factor for cognitive impairment. We investigated the association between sleep duration and cognitive function in a large population-based cohort aged 62-65 years.</p><p><strong>Methods: </strong>Cross-sectional analyses from the Akershus Cardiac Examination 1950 Study. Linear and nonlinear models were conducted to explore the association between self-reported sleep duration and cognitive function, adjusted for established risk factors for cognitive impairment.</p><p><strong>Results: </strong>We included 3,348 participants, mean age (SD) was 63.9 ± 0.6 years, 48.2% were women, and 47.9% had education >12 years. Mean sleep duration (SD) was 7.0 ± 1.0 h, and 10.2% had abnormal sleep duration (<6 or >8 h). Individuals reporting <6 h or >8 h of sleep scored significantly lower on MoCA test and delayed recall trial in adjusted analysis.</p><p><strong>Conclusions: </strong>Sleep duration showed an inverted U-shaped association with global cognitive function and memory, suggesting that both shortened and prolonged sleep are related to adverse brain health.</p>","PeriodicalId":11126,"journal":{"name":"Dementia and Geriatric Cognitive Disorders","volume":" ","pages":"338-344"},"PeriodicalIF":2.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141757729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}