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Journal articles on the topic 'Cognitive decline'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Oliver, Michael, Cassandra Morrison, and Sondos El-Hulu. "RACE DIFFERENCES IN THE RELATIONSHIP BETWEEN HIGH AND VARIABLE BLOOD PRESSURE AND DOMAIN-SPECIFIC COGNITIVE CHANGE." Innovation in Aging 7, Supplement_1 (2023): 689. http://dx.doi.org/10.1093/geroni/igad104.2238.

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Abstract Elevated blood pressure (BP), or hypertension, is a risk factor for several health conditions including Alzheimer’s disease. High BP in early- and mid-life is associated with cognitive decline, whereas research is mixed regarding BP and cognition in late-life. Moreover, hypertension disproportionately affects minority populations. Consequently, the effects of hypertension on cognition may differ by race. The present study investigates the relationship between BP and cognition. 4419 older adults (Black, n=1189; White, n= 3230), with 32116 follow-ups for a maximum of 10-years were inclu

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Stieger, Mirjam, and Margie Lachman. "Cognitive Activity as a Moderator of Educational Attainment and Work Status in Cognitive Aging." Innovation in Aging 4, Supplement_1 (2020): 290–91. http://dx.doi.org/10.1093/geroni/igaa057.931.

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Abstract Cross-sectional findings showed that education differences in memory performance were moderated by frequent cognitive activity (Lachman et al., 2010). The present study examined whether frequent cognitive activity could compensate for lower education when focusing on change in cognitive performance across nine years. The study also explored whether cognitive activity can slow down declines in retired adults as previous research suggested that retiring is associated with an increased risk of cognitive decline (e.g., Wickrama et al., 2013). Longitudinal data from the MIDUS study include

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Dasgupta, Indranil, Mitesh Patel, Nuredin Mohammed, et al. "Cognitive Function Declines Significantly during Haemodialysis in a Majority of Patients: A Call for Further Research." Blood Purification 45, no. 4 (2018): 347–55. http://dx.doi.org/10.1159/000485961.

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Introduction: Cognitive impairment (CI) is very common condition that occurs in haemodialysis patients and it is associated with reduced functional capacity and mortality. We assessed the change in cognitive function during haemodialysis and associated risk factors. Methods: All patients ≥50 years, on haemodialysis for ≥3 months, no dementia from 2 dialysis centres were selected. Cognition was assessed before and after a haemodialysis session using parallel versions of the Montreal Cognitive Assessment (MOCA) tool. Multiple regression was used to examine potential confounders. Results: Eight-t

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Yow, W. Quin, Nina Ye, and Xiaoqian Li. "PERSPECTIVE-TAKING DECLINE IN OLDER ADULTS WITH AND WITHOUT SUBJECTIVE COGNITIVE DECLINE." Innovation in Aging 7, Supplement_1 (2023): 468. http://dx.doi.org/10.1093/geroni/igad104.1541.

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Abstract Subjective cognitive decline (SCD), a self-reported decline in cognitive function without objective cognitive decline, is an early risk marker of pathological aging (Jessen et al., 2020). Healthy older adults with SCD(+) were found to have lower objective cognition and increased rates of cognitive decline compared to those without SCD(-) (Morrison & Oliver, 2023). Cognitively-healthy older adults (OA) had shown a decline in perspective-taking abilities compared to younger adults (YA). However, little research has examined whether self-report SCD plays a role in such age-related de

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Atkinson, Taylor, Dylan Jester, and William Haley. "Spousal Caregiving and Cognitive Trajectories: Does Care Recipient Dementia Status Matter?" Innovation in Aging 4, Supplement_1 (2020): 359–60. http://dx.doi.org/10.1093/geroni/igaa057.1157.

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Abstract Caregiving is often considered stressful, even more so if the care recipient has been diagnosed with dementia. The current study examines the rate of cognitive decline of spousal caregivers of persons with dementia (CG-D) when compared to spousal caregivers of persons without dementia (CG) before and after the death of the care recipient. Health and Retirement Study (HRS) data from 1998-2016 were used to examine cognitive trajectories of CG-D (n=364) and CG (n=1,649) before and after the care recipient death. Cognition was measured through the HRS’s shortened Telephone Interview of Co

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Fonseca, Jose Andres Saez, Rhiannon Ducksbury, Joanne Rodda, et al. "Factors that predict cognitive decline in patients with subjective cognitive impairment." International Psychogeriatrics 27, no. 10 (2015): 1671–77. http://dx.doi.org/10.1017/s1041610215000356.

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ABSTRACTBackground:Current evidence supports the concept of a preclinical phase of Alzheimer's disease (AD) where pathological and imaging changes are present in asymptomatic individuals. Subjective cognitive impairment (SCI) may represent the earliest point on the continuum of AD. A better understanding of the baseline characteristics of this group of patients that later decline in cognition will enhance our knowledge of the very early disease processes, facilitate preventive strategies, early diagnosis, timely follow-up and treatment.Methods:An observational exploratory study which followed

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Roy, Shumita, Allison Drake, Tom Fuchs, et al. "Longitudinal personality change associated with cognitive decline in multiple sclerosis." Multiple Sclerosis Journal 24, no. 14 (2018): 1909–12. http://dx.doi.org/10.1177/1352458517753720.

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We previously reported that personality and cognition were stable over 3 years in patients with multiple sclerosis (MS). This study examined whether a longer duration would reveal evidence of emerging personality dysfunction. The NEO Five-Factor Inventory and Brief International Cognitive Assessment for MS was used to assess personality and cognition, respectively. Patients were classified as “Cog Stable” or “Cog Decline” based on cognitive deterioration over 5 years. Extraversion and Conscientiousness declined across pooled groups. Follow-up of a group by time interaction found that decline i

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Smits, L. L., A. C. van Harten, Y. A. L. Pijnenburg, et al. "Trajectories of cognitive decline in different types of dementia." Psychological Medicine 45, no. 5 (2014): 1051–59. http://dx.doi.org/10.1017/s0033291714002153.

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Background.To investigate trajectories of cognitive decline in patients with different types of dementia compared to controls in a longitudinal study.Method.In 199 patients with Alzheimer's disease (AD), 10 with vascular dementia (VaD), 26 with dementia with Lewy bodies (DLB), 20 with behavioural variant frontotemporal dementia (bvFTD), 15 with language variant frontotemporal dementia (lvFTD) and 112 controls we assessed five cognitive domains: memory, language, attention, executive and visuospatial functioning, and global cognition (Mini-Mental State Examination, MMSE). All subjects had at le

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Zhang, Yun, Sean Clouston, Stacey Scott, and Dylan Smith. "ASSESSING BIDIRECTIONAL LONGITUDINAL ASSOCIATIONS BETWEEN SOCIAL RESOURCES AND COGNITIVE DECLINE IN LATE LIFE." Innovation in Aging 7, Supplement_1 (2023): 187–88. http://dx.doi.org/10.1093/geroni/igad104.0618.

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Abstract Objectives To better understand bidirectional longitudinal relationships between social networks and cognitive decline. Method: We examined nine waves of data from the National Health and Aging Trends Study (2011-2019). Our primary outcome was global cognition, consisting of a summation of scores on episodic memory, orientation, and executive function tests. Social network measures included measures of social participation, number and type of social ties, attributes of network alter, and neighborhood markers of social cohesion and disorder. We applied linear mixed models to study asso

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Mejía-Guevara, Iván. "SEX AND RACE/ETHNIC DIFFERENCES IN TERMINAL COGNITIVE DECLINE." Innovation in Aging 7, Supplement_1 (2023): 963–64. http://dx.doi.org/10.1093/geroni/igad104.3095.

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Abstract Background Cognitive decline has been documented in older adults, but sex and racial/ethnic differences among decedents have not been studied. Here we investigate the relation of mortality to change in the cognitive function of older individuals by sex and race/ethnicity. Methods The study analyzed data from the Health and Retirement Study (HRS) between 1993 and 2018, which included information on total word recall, mental status, and total cognition of individuals aged 65 and older. The study estimated the loss of cognitive function using a multilevel random coefficient model, consid

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Kang, Minjeong, Inhwan Lee, Haeryun Hong, Jeonghyeon Kim, and Hyunsik Kang. "Predictors of Changes in Cognitive Function in Older Korean Adults: The 2006–2018 Korean Longitudinal Study of Aging." International Journal of Environmental Research and Public Health 18, no. 12 (2021): 6345. http://dx.doi.org/10.3390/ijerph18126345.

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Cognitive decline with normal aging varies widely among individuals. This study aimed to investigate predictors of longitudinal changes in cognitive function in community-dwelling Korean adults aged 65 years and older. Data from 727 older adults who participated in the Korean Longitudinal Study of Aging (KLoSA) survey from 2006 (baseline) until 2018 (seventh wave) were used. Cognitive performance was assessed with the Korean Mini-Mental State Examination. The participants were retrospectively classified into normal cognition, mild cognitive impairment, and moderate/severe cognitive impairment.

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Tomaszewski Farias, Sarah, Tania Giovannetti, Brennan R. Payne, et al. "Self-perceived Difficulties in Everyday Function Precede Cognitive Decline among Older Adults in the ACTIVE Study." Journal of the International Neuropsychological Society 24, no. 1 (2017): 104–12. http://dx.doi.org/10.1017/s1355617717000546.

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AbstractObjectives: Careful characterization of how functional decline co-evolves with cognitive decline in older adults has yet to be well described. Most models of neurodegenerative disease postulate that cognitive decline predates and potentially leads to declines in everyday functional abilities; however, there is mounting evidence that subtle decline in instrumental activities of daily living (IADLs) may be detectable in older individuals who are still cognitively normal. Methods: The present study examines how the relationship between change in cognition and change in IADLs are best char

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Tales, Andrea, Frank Jessen, Christopher Butler, Gordon Wilcock, Judith Phillips, and Tony Bayer. "Subjective Cognitive Decline." Journal of Alzheimer's Disease 48, s1 (2015): S1—S3. http://dx.doi.org/10.3233/jad-150719.

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14

Sander, Ruth. "Detecting cognitive decline." Nursing Older People 24, no. 2 (2012): 13. http://dx.doi.org/10.7748/nop.24.2.13.s11.

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15

Gordon, Phillip. "Postoperative Cognitive Decline." American Journal of Biomedical Science & Research 4, no. 4 (2019): 237–38. http://dx.doi.org/10.34297/ajbsr.2019.04.000806.

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16

Scheltens, Philip. "Subjective cognitive decline." Journal of the Neurological Sciences 429 (October 2021): 118004. http://dx.doi.org/10.1016/j.jns.2021.118004.

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Weinstein, Barbara E. "Preventing Cognitive Decline." Hearing Journal 68, no. 9 (2015): 22. http://dx.doi.org/10.1097/01.hj.0000471627.83736.cc.

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Hunt, Summer. "Preventing Cognitive Decline." Nursing for Women's Health 22, no. 2 (2018): 109. http://dx.doi.org/10.1016/s1751-4851(18)30079-5.

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Sauër, Anne-Mette, Cornelis Kalkman, and Diederik van Dijk. "Postoperative cognitive decline." Journal of Anesthesia 23, no. 2 (2009): 256–59. http://dx.doi.org/10.1007/s00540-009-0744-5.

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Nolan, Karen A., and John P. Blass. "Preventing Cognitive Decline." Clinics in Geriatric Medicine 8, no. 1 (1992): 19–34. http://dx.doi.org/10.1016/s0749-0690(18)30495-6.

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21

Eckenhoff, Roderic G., and Emmanuel Planel. "Postoperative Cognitive Decline." Anesthesiology 116, no. 4 (2012): 751–52. http://dx.doi.org/10.1097/aln.0b013e31824be8e1.

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22

Zammit, Andrea R., Jingyun Yang, Aron S. Buchman, et al. "Latent Cognitive Class at Enrollment Predicts Future Cognitive Trajectories of Decline in a Community Sample of Older Adults." Journal of Alzheimer's Disease 83, no. 2 (2021): 641–52. http://dx.doi.org/10.3233/jad-210484.

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Background: Methods that can identify subgroups with different trajectories of cognitive decline are crucial for isolating the biologic mechanisms which underlie these groupings. Objective: This study grouped older adults based on their baseline cognitive profiles using a latent variable approach and tested the hypothesis that these groups would differ in their subsequent trajectories of cognitive change. Methods: In this study we applied time-varying effects models (TVEMs) to examine the longitudinal trajectories of cognitive decline across different subgroups of older adults in the Rush Memo

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Kaufmann, Christopher N., Mark W. Bondi, James D. Murphy, Xin Tu, and Alison A. Moore. "COGNITIVE TRAJECTORIES BEFORE AND AFTER SLEEP TREATMENT INITIATION IN U.S. OLDER ADULTS WITH SLEEP DISTURBANCE." Innovation in Aging 3, Supplement_1 (2019): S403—S404. http://dx.doi.org/10.1093/geroni/igz038.1499.

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Abstract Sleep disturbances are associated with cognitive decline but it is not clear if initiation of sleep treatments mitigates decline. We used the 2006-2014 Health and Retirement Study. At each wave, participants were administered cognitive assessments and scores were summed (values=0-35; higher=better cognition). All participants also reported if, in the past two weeks, they had taken medications or used other treatments to improve sleep. Our sample (N=4,650) included individuals who at baseline were cognitively normal and untreated for sleep, and at any wave reported some sleep disturban

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Alibhai, Shabbir M. H., Henriette Breunis, Narhari Timilshina, et al. "The effect of docetaxel, enzalutamide, abiraterone, and radium-223 on cognitive function in older men with metastatic castrate-resistant prostate cancer (mCRPC)." Journal of Clinical Oncology 38, no. 6_suppl (2020): 73. http://dx.doi.org/10.1200/jco.2020.38.6_suppl.73.

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73 Background: Older adults are at greater risk of cognitive decline with various oncologic therapies. Emerging data suggest cognitive effects of various therapies for mCRPC but study populations are highly selected and published data are limited and focus mostly on self-reported cognitive function. We evaluated the effects of treatment with docetaxel chemotherapy (CHEMO), abiraterone (ABI), enzalutamide (ENZA), and radium 223 (Ra223) on cognitive function in older men with mCRPC. Methods: Men age 65+ with mCRPC starting any of the 4 treatments for mCRPC were enrolled in this multicenter prosp

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Okely, Judith A., and Ian J. Deary. "Associations Between Declining Physical and Cognitive Functions in the Lothian Birth Cohort 1936." Journals of Gerontology: Series A 75, no. 7 (2020): 1393–402. http://dx.doi.org/10.1093/gerona/glaa023.

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Abstract Background The ageing process is characterized by declines in physical and cognitive function. However, the relationship between these trajectories remains a topic of investigation. Methods Using four data waves collected triennially between ages 70 and 79, we tested for associations between multiple cognitive ability domains (verbal memory, processing speed, and visuospatial ability) and physical functions (walking speed, grip strength, and lung function). We first tested for associations between linear declines in physical and cognitive functions over the entire 9-year study period,

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Karcher, Helene, Marina Savelieva, Luyuan Qi, et al. "Modelling Decline in Cognition to Decline in Function in Alzheimer’s Disease." Current Alzheimer Research 17, no. 7 (2020): 635–57. http://dx.doi.org/10.2174/1567205017666201008105429.

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Objective: : The study aimed to evaluate and quantify the temporal link between cognitive and functional decline, and assess the impact of the apolipoprotein E4 (APOE-e4) genotype on Alzheimer’s disease (AD) progression. Methods: A nonlinear mixed-effects Emax model was developed using longitudinal data from 659 patients with dementia due to AD sourced from the Alzheimer's disease neuroimaging initiative (ADNI) database. A cognitive decline model was first built using a cognitive subscale of the AD assessment scale (delayed word recall) as the endpoint, followed by a functional decline model,

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Nooyens, Astrid C. J., H. Bas Bueno-de-Mesquita, Boukje M. van Gelder, Martin P. J. van Boxtel, and W. M. Monique Verschuren. "Consumption of alcoholic beverages and cognitive decline at middle age: the Doetinchem Cohort Study." British Journal of Nutrition 111, no. 4 (2013): 715–23. http://dx.doi.org/10.1017/s0007114513002845.

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Accelerated cognitive decline increases the risk of dementia. Slowing down the rate of cognitive decline leads to the preservation of cognitive functioning in the elderly, who can live independently for a longer time. Alcohol consumption may influence the rate of cognitive decline. The aim of the present study was to evaluate the associations between the total consumption of alcoholic beverages and different types of alcoholic beverages and cognitive decline at middle age. In 2613 men and women of the Doetinchem Cohort Study, aged 43–70 years at baseline (1995–2002), cognitive function (global

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Riedel, Wim J., and Jellemer Jolles. "Cognition Enhancers in Age-Related Cognitive Decline." Drugs & Aging 8, no. 4 (1996): 245–74. http://dx.doi.org/10.2165/00002512-199608040-00003.

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Zheng, Fanfan, Li Yan, Baoliang Zhong, Zhenchun Yang, and Wuxiang Xie. "Progression of cognitive decline before and after incident stroke." Neurology 93, no. 1 (2019): e20-e28. http://dx.doi.org/10.1212/wnl.0000000000007716.

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ObjectiveTo determine the trajectory of cognitive decline before and after incident stroke.MethodsBy using data from the English Longitudinal Study of Ageing, we studied 9,278 participants without dementia with no history of stroke who underwent cognitive assessment at baseline (wave 1) and at least 1 other time point (waves 2–7). We used linear mixed models to analyze repeated measures and longitudinal data.ResultsAmong the 9,278 participants (56.8% women, mean age 63.1 ± 10.3 years), 471 (5.1%) incident stroke events were identified. Compared with stroke-free participants, multivariable-adju

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Wion, Rachel, Nikki Hill, Tyler Bell, Jacqueline Mogle, Jennifer Yates, and Iris Bhang. "Does Cognitive Self-Report Measure Type Differentially Predict Cognitive Decline? A Systematic Review." Innovation in Aging 4, Supplement_1 (2020): 292. http://dx.doi.org/10.1093/geroni/igaa057.936.

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Abstract Up to 47% of older adults without measurable cognitive impairment report difficulties with memory and thinking which potentially increases their risk for developing cognitive decline. Many measures are used for assessing self-reported cognition; however, certain types of these measures may be more predictive of cognitive decline. The purpose of this systematic review was to compare the role of cognitive self-report measure types in predicting risk for cognitive decline. PubMed, CINAHL, and PsycINFO databases were searched using the following inclusion criteria: longitudinal studies, o

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Springer, Mellanie V., Rachael T. Whitney, Wen Ye, et al. "Education Levels and Poststroke Cognitive Trajectories." JAMA Network Open 8, no. 3 (2025): e252002. https://doi.org/10.1001/jamanetworkopen.2025.2002.

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ImportanceAcute stroke is associated with accelerated, years-long cognitive decline. Whether education levels are associated with faster cognitive decline after stroke is unclear.ObjectiveTo evaluate the association of education level with poststroke cognitive decline and to determine whether age at stroke modifies the association.Design, Setting, and ParticipantsIndividual participant data meta-analysis of 4 US cohort studies (January 1971 to December 2019). Analysis began August 2022 and was completed in January 2024.ExposuresEducation level (less than high school, completed high school, som

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Sliwinski, Martin J., Robert S. Stawski, Charles B. Hall, Mindy Katz, Joe Verghese, and Richard Lipton. "Distinguishing Preterminal and Terminal Cognitive Decline." European Psychologist 11, no. 3 (2006): 172–81. http://dx.doi.org/10.1027/1016-9040.11.3.172.

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This paper reviews different methodological approaches taken to examine terminal decline in cognitive function, and presents new findings from the Bronx Aging Study (BAS). Numerous approaches have been taken to assess mortality effects on cognition: comparing survivors and decedents level and rate of change in cognition, and identifying individual differences in cognition associated with time-to-death. However, few studies have actually modeled within-person change in cognition as a function of time-to-death. Using linear mixed models with a change point, intraindividual change in episodic mem

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Dos Santos, Brenda Pina, Bruno Costa Poltronieri, and Amer Cavalheiro Hamdan. "Associação entre declínio cognitivo e funcional em idosos hospitalizados: uma revisão Integrativa/Association between cognitive and functional decline in hospitalized elderly: an integrative review." Revista Interinstitucional Brasileira de Terapia Ocupacional - REVISBRATO 2, no. 3 (2018): 639–53. http://dx.doi.org/10.47222/2526-3544.rbto12792.

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Introdução: O declínio cognitivo e funcional é importante preditor de fragilidade em idosos. Isso justifica a necessidade de se investigar a existência de associação direta entre cognição e capacidade funcional no contexto da hospitalização. Objetivo: levantar qual a associação entre declínio cognitivo e funcional em idosos hospitalizados. Metodologia: revisão integrativa realizada no SCIELO, LILACS, COCHRANE e PUBMED, no período de 2014 a julho de 2016, a partir das estratégias de busca “elderly AND hospitalization”, “elderly AND hospitalization AND functional decline” ou “elderly AND hospita

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Lawrence, Andrew J., Eva A. Zeestraten, Philip Benjamin, et al. "Longitudinal decline in structural networks predicts dementia in cerebral small vessel disease." Neurology 90, no. 21 (2018): e1898-e1910. http://dx.doi.org/10.1212/wnl.0000000000005551.

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ObjectiveTo determine whether longitudinal change in white matter structural network integrity predicts dementia and future cognitive decline in cerebral small vessel disease (SVD). To investigate whether network disruption has a causal role in cognitive decline and mediates the association between conventional MRI markers of SVD with both cognitive decline and dementia.MethodsIn the prospective longitudinal SCANS (St George's Cognition and Neuroimaging in Stroke) Study, 97 dementia-free individuals with symptomatic lacunar stroke were followed with annual MRI for 3 years and annual cognitive

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Butler, Mary, Ellen McCreedy, Victoria A. Nelson, et al. "Does Cognitive Training Prevent Cognitive Decline?" Annals of Internal Medicine 168, no. 1 (2017): 63. http://dx.doi.org/10.7326/m17-1531.

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Singh-Manoux, Archana, Michael G. Marmot, Maria Glymour, Séverine Sabia, Mika Kivimäki, and Aline Dugravot. "Does cognitive reserve shape cognitive decline?" Annals of Neurology 70, no. 2 (2011): 296–304. http://dx.doi.org/10.1002/ana.22391.

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Smid, Jerusa, Adalberto Studart-Neto, Karolina Gouveia César-Freitas, et al. "Subjective cognitive decline, mild cognitive impairment, and dementia - syndromic approach: recommendations of the Scientific Department of Cognitive Neurology and Aging of the Brazilian Academy of Neurology." Dementia & Neuropsychologia 16, no. 3 suppl 1 (2022): 1–24. http://dx.doi.org/10.1590/1980-5764-dn-2022-s101en.

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ABSTRACT This consensus, performed by the Brazilian Academy of Neurology (BAN) will approach practically how to evaluate patients with cognitive complaints and how to clinically and etiologically diagnose the three clinical syndromes associated with the different stages of cognitive decline: subjective cognitive decline (SCD), mild cognitive impairment (MCI), and dementia. This BAN consensus discusses SCD diagnosis for the first time, updates MCI and dementia diagnoses, recommends the adequate cognitive tests and the relevant etiological work-up and care of patients with cognitive decline at d

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Sherman, Janet Cohen, Charles R. Henderson, Suzanne Flynn, James W. Gair, and Barbara Lust. "Language Decline Characterizes Amnestic Mild Cognitive Impairment Independent of Cognitive Decline." Journal of Speech, Language, and Hearing Research 64, no. 11 (2021): 4287–307. http://dx.doi.org/10.1044/2021_jslhr-20-00503.

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Purpose This research investigated the nature of cognitive decline in prodromal Alzheimer's disease (AD), particularly in mild cognitive impairment, amnestic type (aMCI). We assessed language in aMCI as compared with healthy aging (HA) and healthy young (HY) with new psycholinguistic assessment of complex sentences, and we tested the degree to which deficits on this language measure relate to performance in other general cognitive domains such as memory. Method Sixty-one individuals with aMCI were compared with 24 HA and 10 HY adults on a psycholinguistic measure of complex sentence production

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Ganmore, Ithamar, Isak Elkayam, Ramit Ravona-Springer, et al. "DETERIORATION IN MOTOR FUNCTION OVER TIME IN OLDER ADULTS WITH TYPE 2 DIABETES IS ASSOCIATED WITH ACCELERATED COGNITIVE DECLINE." Endocrine Practice 26, no. 10 (2020): 1143–52. http://dx.doi.org/10.4158/ep-2020-0289.

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Objective: Type 2 diabetes (T2D) is associated with motor impairments and a higher dementia risk. The relationships of motor decline with cognitive decline in T2D older adults has rarely been studied. Using data from the Israel Diabetes and Cognitive Decline study (N = 892), we examined associations of decline in motor function with cognitive decline over a 54-month period. Methods: Motor function measures were strength (handgrip) and gait speed (time to walk 3 m). Participants completed a neuropsychologic battery of 13 tests transformed into z-scores, summarized into 4 cognitive domains: epis

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Handing, Elizabeth P., Yuqin Jiao, and Stephen Aichele. "Age-Related Trajectories of General Fluid Cognition and Functional Decline in the Health and Retirement Study: A Bivariate Latent Growth Analysis." Journal of Intelligence 11, no. 4 (2023): 65. http://dx.doi.org/10.3390/jintelligence11040065.

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There have been few studies on associations between age-related declines in fluid cognition and functional ability in population-representative samples of middle-aged and older adults. We used a two-stage process (longitudinal factor analysis followed by structural growth modeling) to estimate bivariate trajectories of age-related changes in general fluid cognition (numeracy, category fluency, executive functioning, and recall memory) and functional limitation (difficulties in daily activities, instrumental activities, and mobility). Data came from the Health and Retirement Study (Waves 2010–2

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Kiselica, A., J. Benge, A. Kaser, B. Small, and T. Webber. "A-01 Objective and Subjective Cognitive Declines as Complementary Symptoms of Early Alzheimer’s Disease." Archives of Clinical Neuropsychology 35, no. 6 (2020): 774. http://dx.doi.org/10.1093/arclin/acaa067.01.

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Abstract Objective Subjective and objective cognitive declines are given equal weight as symptoms of pre-mild cognitive impairment in Alzheimer’s disease by recent research criteria. However, the overlap of these constructs is unclear. We used standardized regression-based (SRB) change to define subtle objective cognitive decline across serial neuropsychological assessments. We then examined the associations between objective change and subjective cognitive complaints. Finally, we investigated the impact of different symptom combinations on rates of classification for the early stages of the A

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Ismail, Zahinoor, Alexander McGirr, Sascha Gill, Sophie Hu, Nils D. Forkert, and Eric E. Smith. "Mild Behavioral Impairment and Subjective Cognitive Decline Predict Cognitive and Functional Decline." Journal of Alzheimer's Disease 80, no. 1 (2021): 459–69. http://dx.doi.org/10.3233/jad-201184.

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Background: Mild behavioral impairment (MBI) and subjective cognitive decline (SCD) are dementia risk states, and potentially represent neurobehavioral and neurocognitive manifestations, respectively, of early stage neurodegeneration. Both MBI and SCD predict incident cognitive decline and dementia, are associated with known dementia biomarkers, and are both represented in the NIA-AA research framework for AD in Stage 2 (preclinical disease). Objective: To assess the associations of MBI and SCD, alone and in combination, with incident cognitive and functional decline in a population of older a

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Thorgusen, Sommer R., Yana Suchy, Gordon J. Chelune, and Brian R. Baucom. "Neuropsychological Practice Effects in the Context of Cognitive Decline: Contributions from Learning and Task Novelty." Journal of the International Neuropsychological Society 22, no. 4 (2016): 453–66. http://dx.doi.org/10.1017/s1355617715001332.

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AbstractAlthough cognitive decline is typically associated with decreasing practice effects (PEs) (presumably due to declining memory), some studies show increased PEs with declines in cognition. One explanation for these inconsistencies is that PEs reflect not only memory, but also rebounds from adapting to task novelty (i.e., novelty effect), leading to increased PEs. We examined a theoretical model of relationships among novelty effects, memory, cognitive decline, and within-session PEs. Sixty-six older adults ranging from normal to severely impaired completed measures of memory, novelty ef

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Wei, Melissa Y., Deborah A. Levine, Laura B. Zahodne, Mohammed U. Kabeto, and Kenneth M. Langa. "Multimorbidity and Cognitive Decline Over 14 Years in Older Americans." Journals of Gerontology: Series A 75, no. 6 (2019): 1206–13. http://dx.doi.org/10.1093/gerona/glz147.

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Abstract Background Multimorbidity is associated with greater disability and accelerated declines in physical functioning over time in older adults. However, less is known about its effect on cognitive decline. Methods Participants without dementia from the Health and Retirement Study were interviewed about physician-diagnosed conditions, from which their multimorbidity-weighted index (MWI) that weights diseases to physical functioning was computed. We used linear mixed-effects models to examine the predictor MWI with the modified Telephone Interview for Cognitive Status (TICSm, global cogniti

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Zhang, Yun, Joeseph Rodgers, Patrick O'Keefe, et al. "THE FLYNN EFFECT IN SHORT-TERM COGNITIVE DECLINES OF AMERICANS AGED 65 YEARS AND OLDER: SMARTER AND MAYBE SLOWER." Innovation in Aging 6, Supplement_1 (2022): 231. http://dx.doi.org/10.1093/geroni/igac059.916.

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Abstract To contribute to our understanding of cohort differences and the Flynn Effect in cognitive declines, this study aims to: 1) describe and compare cognitive decline trends of two nationally representative American older cohorts; 2) investigate significant determinants of cognitive declines and the cohort differences. The analysis used data from the National Health and Aging Trends Study (NHATS, 2011-2019), including one nationally representative cohort of older Americans in 2011 and another from 2015. We used mixed-effect models adjusted for cohort, wave, baseline age, sex, education, r

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Stone, Brandon L., Madison Beneda-Bender, Duncan L. McCollum, et al. "Understanding cognitive performance during exercise in Reserve Officers’ Training Corps: establishing the executive function-exercise intensity relationship." Journal of Applied Physiology 129, no. 4 (2020): 846–54. http://dx.doi.org/10.1152/japplphysiol.00483.2020.

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The executive functioning aspect of cognition was evaluated during graded exercise in Reserve Officers’ Training Corps cadets. Executive function declined at exercise intensities of ≥80% of heart rate reserve. The decline in executive function was coupled with declines in the oxygenation of the prefrontal cortex, the brain region responsible for executive functioning. These data define the executive function-exercise intensity relationship and provide evidence supporting the reticular activation hypofrontality theory as a model of cognitive change.

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Sharma, Dr Ankita. "Activities, Social Engagement and Cognitive Decline among Elderly Male." International Journal of Scientific Research 3, no. 8 (2012): 393–98. http://dx.doi.org/10.15373/22778179/august2014/121.

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Markus, Hugh. "Hereditary vascular cognitive decline." Journal of the Neurological Sciences 429 (October 2021): 117951. http://dx.doi.org/10.1016/j.jns.2021.117951.

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Shimada, Hiroyuki. "Prevention of cognitive decline." Nippon Ronen Igakkai Zasshi. Japanese Journal of Geriatrics 49, no. 1 (2012): 60–62. http://dx.doi.org/10.3143/geriatrics.49.60.

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Canevelli, Marco, Matteo Cesari, and Gabor Abellan van Kan. "Frailty and cognitive decline." Current Opinion in Clinical Nutrition and Metabolic Care 18, no. 1 (2015): 43–50. http://dx.doi.org/10.1097/mco.0000000000000133.

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