Trajectories Of Cognitive Change Research Articles

THE RELATIONSHIP BETWEEN 10-YEAR CHANGES IN COGNITIVE ABILITY AND SUBSEQUENT MORTALITY: FINDINGS FROM THE ACTIVE

Abstract Cognitive ability and cognitive decline have been linked with mortality in older adults. However, little was understood about the role of cognitive interventions on mortality outcomes in this population. Using twenty-year follow-up data from the Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE) trial, we examined the association between cognitive change and mortality risk, and the effect of ACTIVE cognitive training (memory, reasoning, and speed of processing) on mortality risk. Mortality was ascertained through linkage to the National Death Index database. To model time to death as a function of cognitive change and training effect, we used shared growth-survival models with simultaneously estimated latent intercepts and slopes as predictors. Among the 2802 participants, 2021 died on or before the year 2019 (72.1%). Both higher baseline level and slower decline in global cognition were associated with lower hazards of all-cause mortality after adjusting for covariates (HR = 0.68, 95% CI 0.58, 0.79; HR = 0.42, 95% CI 0.40, 0.44, respectively). We did not observe any significant effects of ACTIVE cognitive training in memory, reasoning, or speed of processing on all-cause mortality. Our findings demonstrated the association between the trajectory of cognitive change and mortality among older adults, independent of cognitive training interventions. More work is needed to identify relevant timing as well as modalities of non-pharmaceutical interventions that can promote healthy longevity.

Determinants of successful cognitive aging over 15 years: a population‐based study

AbstractBackgroundAlthough aging is related to loss in cognitive function, some individuals maintain high levels of cognitive performance also in late life. However, studies mapping longitudinal cognitive trajectories are scarce and little is known about the factors that may promote successful cognitive aging (SCA). We sought to identify predictors of SCA, based on latent profiles derived from interindividual differences in rate of change across several cognitive domains.MethodWe followed 1,966 individuals from the Swedish National Study on Aging and Care in Kungsholmen (SNAC‐K) over 15 years (mean baseline age = 71.6 years; 62.9% female). Participants were free from dementia at baseline and had undergone at least two cognitive assessments during follow‐up. Cognition was assessed with a comprehensive battery, including tests of semantic memory, episodic recall and recognition, letter and verbal fluency, and executive function. We estimated level and change within each of the cognitive domains with linear mixed effect models, based on which we classified participants into successful, normal, or decline groups. These groups were used to derive profiles of overall cognitive change trajectories, through latent class analysis. We then investigated demographic, health, lifestyle, and genetic predictors of profile membership.ResultWe obtained three latent cognitive profiles. 31.6% of the sample was classified as successful, 50.6% as normal, and 17.8% as decliner. In multi‐adjusted multinomial logistic regression analysis, membership in the successful profile was predicted by female sex, higher education, and a faster walking speed (ps < 0.003). Current smoking, feelings of loneliness, and carrying the Apolipoprotein ԑ4‐allele were associated with a lower likelihood of being classified as successful (ps < 0.037). Higher age, diagnosis of diabetes or depression, and being an ԑ4‐carrier increased the likelihood of being classified into the decline profile (ps < 0.026).ConclusionWe identified several demographic, lifestyle, health, and genetic factors of SCA. Of note, these factors were different from those that predicted accelerated cognitive decline. Although some cognitive loss may be an inevitable part of aging, our results suggest certain modifiable factors (i.e. smoking and quality of social interactions) to be related to maintained cognitive function in older age.

Factors leading to the trajectory of cognitive decline in middle-aged and older adults using group-based trajectory modeling: A cohort study.

Currently, studies exploring factors associated with the cognition at some time point and no study identifying the trajectories of cognitive changes and factors might associate with the trajectories of cognitive changes in people. This study was to identify factors associated with the trend of cognitive decline in middle-aged and older people. In this cohort study, the data of 6954 subjects were collected from China Health and Retirement Longitudinal Survey database. Group-based trajectory modeling was applied for identifying three different trajectories of cognitive function change [high initial level and slow decline group (n = 1024), moderate initial level and moderate decline group (n = 2673) and low initial level and rapid decline (LRD) group (n = 3277)]. Univariate and multivariate logistic regression analysis was conducted to identify variables influencing factors of the trajectories of cognitive function in middle-aged and older people. The follow-up interval was 2 years from 2011 to 2015, and 3 years from 2015 to 2018 via face-to-face interview. High initial level and slow decline group versus LRD group, age (OR = 2.591, 95% CI: 1.962-3.421), gender (OR = 1.398, 95% CI: 1.133-1.725), education (OR = 0.051, 95% CI: 0.039-0.068), place of residence (OR = 2.768, 95% CI: 1.663-4.606), disabled (OR = 1.557, 95% CI: 1.189-2.039), family annual income (OR = 0.757, 95% CI: 0.618-0.929), sleep duration (OR = 1.266, 95% CI: 1.023-1.567), instrumental activity of daily living impairment (OR = 2.513, 95% CI: 1.947-3.245), community activities participation (OR = 0.611, 95% CI: 0.500-0.748), depression (OR = 1.471, 95% CI: 1.185-1.828), and systolic blood pressure (OR = 1.005, 95% CI: 1.001-1.009) were factors influencing the trajectories of cognitive function. Comparing moderate initial level and moderate decline group and LRD group, age (OR = 1.245, 95% CI: 1.052-1.474), gender (OR = 1.244, 95% CI: 1.062-1.458), education (OR = 0.244, 95% CI: 0.190-0.314), marital status (OR = 1.291, 95% CI: 1.079-1.546), place of residence (OR = 1.677, 95% CI: 1.358-2.071), disability (OR = 1.396, 95% CI: 1.180-1.652), smoking (OR = 1.249, 95% CI: 1.071-1.457), family annual income (OR = 0.863, 95% CI: 0.768-0.970), sleep duration (OR = 1.215, 95% CI: 0.973-1.541), instrumental activity of daily living impairment (OR = 1.309, 95% CI: 1.098-1.560), community activities participation (OR = 0.804, 95% CI: 0.718-0.900) and depression (OR = 1.383, 95% CI: 1.217-1.571) were factors associated with the trajectories of cognitive function changes. Middle-aged and older adults who had characteristics associated with increased risk of cognitive decline might be provided with timely interventions.

Cognitive impairment in multiple sclerosis: The role of the general practitioner in cognitive screening and care coordination.

Cognitive impairment is common in multiple sclerosis (MS) and can have animpact on all aspects of daily life. It isalso an early marker of increased MS disease activity and indicates the need to optimise disease-modifying therapies to slow progression and preserve brain functioning. However, it is difficult to detect on clinical interview alone, and patient self-report is unreliable. General practitioners (GP) can have akeyrole in the screening and initial management of cognitive impairment, but they need the right tools to do so. This aim of this article is to describe the best cognitive screening tools to use in MS and some psychological screening tools that can provide useful additional clinical information. The various ways in which information gleaned from applying these tools can guide GPs' care plans related to the effective management and treatment of cognitive impairment during three stages in the trajectory of cognitive change in MS are discussed.

Facilitation of Cognition in Older Adults: Traditional and Non-Traditional Approaches to Inducing Change

Plasticity is a concept of major importance in understanding the process of cognitive aging. Differences among individuals in neuroplasticity play an important role in accounting for different trajectories of cognitive change over time. In the present paper, we define neuroplasticity as the ability to change brain and behavior and discuss cognitive training and cognitive engagement as mechanisms of change in the context of The Scaffolding Theory of Aging and Cognition (STAC). We review evidence for structural and functional plasticity in older adults as a function of different intervention strategies. We suggest that plasticity, particularly as expressed in changes in functional activation or connectivity, can provide a mechanism to remediate the effects of cognitive decline. While evidence that cognition can be preserved or even improved in later life by leveraging residual plasticity is growing, the field has far from a complete understanding of the mechanisms of plasticity and the factors which facilitate its expression, especially in later life.

Association between bilateral oophorectomy and cognitive decline in older women from the Baltimore Longitudinal Study of Aging

AbstractBackgroundNearly two‐thirds of individuals with Alzheimer’s disease (AD) are women, and the lifetime risk for AD is twice as high in women compared to men at age 45 (Alzheimer’s Association, 2019). Despite this increased prevalence, little is known about why more women develop AD. Early life events affecting 17β‐estradiol (E2) may be a potential mechanism behind this sex difference. E2 and/or ovarian loss leads to cognitive decline and neurodegeneration, which is mitigated with E2 (Gervais et al., 2020; Kantarci et al., 2018; Zeydan et al., 2019). Further, women with bilateral oophorectomy have an increased risk of AD in later life (Rocca et al., 2007). However, little is known about the long‐term trajectories of cognitive change post‐oophorectomy.MethodThe current study investigated cognitive decline over time in older women with bilateral oophorectomy (BO; n = 30; total visits = 131) prior to age 45 compared to spontaneously menopausal (SM; n = 61; total visits = 277) women from the Baltimore Longitudinal Study of Aging (BLSA; Shock et al., 1984). All participants were free of any dementia and completed a variety of demographic and cognitive assessments. Each eligible BO participant was age‐matched at a 1:2 ratio with a SM participant. Data were analyzed using linear mixed‐effects models in R 3.6.1 (R Core Team, 2019).ResultParticipants completed an average of four visits over 11‐years, and ranged in age from 52‐91 years. Our analyses revealed the BO group recalled significantly less words on the California Verbal Learning Test and made significantly more errors on the Benton Visual Retention Test over time than the SM group. Additionally, the BO group had poorer Digits Backward and Letter Fluency performance over time compared to the SM group.ConclusionResults demonstrate an association between BO prior to age 45 and greater longitudinal decline in executive function, verbal memory, visual memory, and working memory performance compared to age‐matched, spontaneously menopausal women. This is the first study to evaluate continuous cognitive decline post‐oophorectomy from midlife to older age, and suggests that even in normal aging, the early loss of E2 via BO may confer long‐lasting effects on cognition spanning decades of life.

Job Strain and Trajectories of Cognitive Change Before and After Retirement.

ObjectivesWe examined associations between job strain and trajectories of change in cognitive functioning (general cognitive ability plus verbal, spatial, memory, and speed domains) before and after retirement.MethodsData on indicators of job strain, retirement age, and cognitive factors were available from 307 members of the Swedish Adoption/Twin Study of Aging. Participants were followed up for up to 27 years (mean = 15.4, SD = 8.5).ResultsIn growth curve analyses controlling for age, sex, education, depressive symptoms, cardiovascular health, and twinness, greater job strain was associated with general cognitive ability (estimate = −1.33, p = .002), worse memory (estimate = −1.22, p = .007), speed (estimate = −1.11, p = .012), and spatial ability (estimate = −0.96, p = .043) at retirement. Greater job strain was also associated with less improvement in general cognitive ability before retirement and a somewhat slower decline after retirement. The sex-stratified analyses showed that the smaller gains of general cognitive ability before retirement (estimate = −1.09, p = .005) were only observed in women. Domain-specific analyses revealed that greater job strain was associated with less improvement in spatial (estimate = −1.35, p = .010) and verbal (estimate = −0.64, p = .047) ability before retirement in women and a slower decline in memory after retirement in women (estimate = 0.85, p = .008) and men (estimate = 1.12, p = .013). Neither preretirement nor postretirement speed was affected significantly by job strain.DiscussionGreater job strain may have a negative influence on overall cognitive functioning prior to and at retirement, while interrupting exposure to job strain (postretirement) may slow the rate of cognitive aging. Reducing the level of stress at work should be seen as a potential target for intervention to improve cognitive aging outcomes.

Contemporary Approaches to the Study of Cognitive Aging

Cognitive aging research is gaining societal and practical importance because of population aging. Current research is focused on describing age differences and age-related changes in cognitive performance, understanding potential causes underlying these differences and changes, and identifying factors that promote maintenance of cognitive functioning in old age. The goal of this research group is to showcase new developments in research studying age differences in cognitive performance and longitudinal cognitive change in the second half of life. Hülür et al. examine associations between midlife occupational factors and trajectories of cognitive change using data from the German Interdisciplinary Longitudinal Study of Adult Development and Aging (ILSE). Luo et al. use 12-year longitudinal data from 499 older participants in ILSE to study bidirectional associations between social relationships and cognitive performance. Small et al. examine the correspondence between objective and subjective cognitive performance, and measures of fatigue and depressed mood in experience sampling data from breast cancer survivors. Haas et al. compare laboratory and at-home online assessments of cognitive status and prospective memory over the adult lifespan and evaluate the quality of self-administered tests. The discussion by Elizabeth Stine-Morrow will focus on how these approaches contribute to our understanding of processes of cognitive aging and how they can be utilized to promote maintenance of cognitive functioning in old age.

The Role of Midlife Occupational Factors for Trajectories of Cognitive Change

Cognitively enriching environments are usually related to higher levels of cognitive performance, while associations with longitudinal change are less clear. In the present study, we used 20-year longitudinal data from the German Interdisciplinary Longitudinal Study of Adult Development and Aging (ILSE) to examine the role of occupational factors for longitudinal trajectories of cognitive function in midlife. To do so, we used data from 374 participants in the ILSE midlife cohort (born in 1950-52; mean age at baseline = 44 years; 44 % women). Our findings showed that cognitively enriching work environments were associated with higher levels of cognitive function at baseline; however, these associations were not independent of control variables including education. There was no evidence that enriching work environments were related to the maintenance of cognitive abilities. In sum, our findings are in line with notions of “preserved differentiation”. We discuss potential mechanisms underlying these findings.

Physical Activity and Trajectory of Cognitive Change in Older Persons: Mayo Clinic Study of Aging.

Background:Little is known about the association between physical activity (PA) and cognitive trajectories in older adults.Objective:To examine the association between PA and change in memory, language, attention, visuospatial skills, and global cognition, and a potential impact of sex or Apolipoprotein E (APOE) ɛ4 status.Methods:Longitudinal study derived from the population-based Mayo Clinic Study of Aging, including 2,060 cognitively unimpaired males and females aged ≥70 years. Engagement in midlife (ages 50–65) and late-life (last year) PA was assessed using a questionnaire. Neuropsychological testing was done every 15 months (mean follow-up 5.8 years). We ran linear mixed-effect models to examine whether mid- or late-life PA at three intensities (mild, moderate, vigorous) was associated with cognitive z-scores.Results:Light intensity midlife PA was associated with less decline in memory function compared to the no-PA reference group (time x light PA; estimate [standard error] 0.047 [0.016], p = 0.004). Vigorous late-life PA was associated with less decline in language (0.033 [0.015], p = 0.030), attention (0.032 [0.017], p = 0.050), and global cognition (0.039 [0.016], p = 0.012). Females who were physically inactive in midlife experienced more pronounced cognitive decline than females physically active in midlife and males regardless of PA (p-values for time interaction terms with midlife PA levels and sex were all p < 0.05 for global cognition). APOE ɛ4 carriership did not moderate the association between PA and cognition.Conclusion:Engaging in PA, particularly of vigorous intensity in late-life, was associated with less pronounced decline in global and domain-specific cognition. This association may differ by sex.

Do I lose cognitive function as fast as my twin partner? Analyses based on classes of MMSE trajectories of twins aged 80 and older.

Aging is associated with an increasing risk of decline in cognitive abilities. The decline is, however, not a homogeneous process. There are substantial differences across individuals although previous investigations have identified individuals with distinct cognitive trajectories. Evidence is accumulating that lifestyle contributes significantly to the classification of individuals into various clusters. How and whether genetically related individuals, like twins, change in a more similar manner is yet not fully understood. In this study, we fitted growth mixture models to Mini Mental State Exam (MMSE) scores from participants of the Swedish OCTO twin study of oldest-old monozygotic and same-sex dizygotic twins with the purpose of investigating whether twin pairs can be assigned to the same class of cognitive change. We identified four distinct groups (latent classes) whose MMSE trajectories followed different patterns of change over time: two classes of high performing individuals who remained stable and declined slowly, respectively, a group of mildly impaired individuals with a fast decline and a small group of impaired individuals who declined more rapidly. Notably, our analyses show no association between zygosity and class assignment. Our study provides evidence for a more substantial impact of environmental, rather than genetic, influences on cognitive change trajectories in later life.

322 - Heterogeneity in dynamic change of cognitive function among Chinese elderly: A growth mixture model

Objectives:Our aim is to use the growth mixture model (GMM) to distinguish different trajectories of cognitive change in Chinese geriatric population and identify risk factors for cognitive decline in each subpopulation.Methods:We obtained data from the Chinese Longitudinal Health Longevity Survey, using the Chinese Mini-Mental State Examination (C-MMSE) as a proxy for cognitive function. We applied the GMM to identify heterogeneous subpopulations and potential risk factors.Results:Our sample included 2850 older adults, 1387 (48.7%) male and 1463 (51.3%) female with age range of 62 to 108 (average of 72.3). Using GMM and best fit statistics, we identified two distinct subgroups in respect to their longitudinal cognitive function: cognitively stable (91.4%) group with 0.42 C-MMSE points decline per 3 years, and cognitively declining (8.6%) group with 4.76 C-MMSE points decline per 3 years. Of note, vision impairment and hearing impairment had the highest associations with cognitive decline, with stronger association found in the cognitively declining group than the cognitively stable group. Cognitive activities were protective in both groups. Diabetes was associated with cognitive decline in cognitive declining group. Physical activities, social activities and intake of fresh vegetables, fruits, and fish products were protective in cognitive stable group.Conclusions:Using GMM, we identified heterogeneity in trajectories of cognitive change in Chinese elders. Moreover, we found risk factors specific to each subgroup, which should be considered in future studies.

Heterogeneity in the dynamic change of cognitive function among older Chinese people: A growth mixture model.

Our aim is to distinguish different trajectories of cognitive change in Chinese geriatric population and identify risk factors for cognitive decline in each subpopulation. We obtained data from five waves (2002, 2005, 2008, 2011, 2014) of the Chinese Longitudinal Health Longevity Survey, using the Chinese Mini-Mental State Examination (C-MMSE) as a proxy for cognitive function. We applied growth mixture modeling (GMM) to identify heterogeneous subpopulations and potential risk factors. Our sample included 3859 older adults, 1387 (48.7%) male and 1974 (51.2%) female with age range of 62 to 108 (average of 74.5) at initial survey. Using GMM and best fit statistics, we identified two distinct subgroups in respect to their longitudinal cognitive function: (a) cognitively stable (87.8%) group with 0.49 C-MMSE points decline per 3 years, and (b) cognitively declining (12.2%) group with 6.03 C-MMSE points decline per 3 years. Of note, cognitive activities were protective, and hearing and visual impairments were risk factors in both groups. Diabetes, hypertension, stroke and cardiovascular disease were associated with cognitive decline in the cognitively declining group. Physical activities, and intake of fresh vegetables, fruits, and fish products were protective in the cognitively stable group. Using GMM, we identified heterogeneity in trajectories of cognitive change in older Chinese people. Moreover, we found risk factors specific to each subgroup, which should be considered in future studies.

The effect of physical activity on cognition relative to APOE genotype (PAAD-2): study protocol for a phase II randomized control trial

BackgroundBy 2050, the prevalence of Alzheimer’s disease (AD) in the United States is predicted to reach 13.8 million. Despite worldwide research efforts, a cure for AD has not been identified. Thus, it is critical to identify preventive strategies that can reduce the risk of or delay the onset of AD. Physical activity (PA) has potential in this regard. This randomized clinical trial aims to (a) test the causal relationship between PA and AD-associated cognitive function for persons with a family history of AD (FH+), (b) determine the moderating role of apolipoprotein epsilon 4 (APOE4) carrier status on cognition, and (c) assess cerebral structure, cerebral function, and putative biomarkers as mediators of the effects of PA on cognition.MethodsWe are recruiting cognitively normal, middle aged (40–65 years) sedentary adults with FH+. Participants are randomly assigned to a 12-month PA intervention for 3 days/week or to a control group maintaining their normal lifestyle. Saliva samples are taken at pre-test to determine APOE genotype. At pre-, mid-, and post-tests, participants complete a series of cognitive tests to assess information-processing speed, verbal and visual episodic memory, constructional praxis, mnemonic discrimination, and higher-order executive functions. At pre- and post-tests, brain imaging and blood biomarkers are assessed.DiscussionWe hypothesize that 1) the PA group will demonstrate improved cognition compared with controls; 2) PA-derived cognitive changes will be moderated by APOE4 status; and 3) PA-induced changes in neural and blood biomarkers will contribute to cognitive changes and differ as a function of APOE4 status. Our results may provide important insights into the potential of PA to preserve neurocognitive function in people with a heightened risk of AD due to FH+ and as moderated by APOE4 status. By using sophisticated analytic techniques to assess APOE as a moderator and neurobiological mechanisms as mediators across trajectories of cognitive change in response to PA, we will advance our understanding of the potential of PA in protecting against AD.Trial registrationClinicalTrials.gov NCT03876314. Registered March 15, 2019.

Cognitive Aging and Dementia: A Life Span Perspective.

This article summarizes empirical findings and theoretical concepts in cognitive aging and late-life dementia research. Major emphases are placed on (1) person-to-person heterogeneity in trajectories of cognitive change over time, (2) how trajectories of child cognitive development determine peak levels of adult cognitive function from which aging-related cognitive declines occur, and (3) how lifelong trajectories of cognitive function relate to the timing of severe cognitive impairments characteristic of dementia. I consider conceptual issues surrounding categorical vs. dimensional models of late-life dementia, and how current diagnostic approaches affect inferences in the empirical study of disease progression. The incomplete current understanding of the biological foundations of aging-related cognitive declines and the continuous nature of many biomarkers commonly used in dementia diagnosis and classification together pose both opportunities and challenges in the current research landscape. Research moving forward will benefit from accurately measuring and analyzing continuous variation in longitudinal trajectories of cognitive function.

COHORT DIFFERENCES IN COGNITIVE AGING: THE ROLE OF PERCEIVED WORK ENVIRONMENT

Studies of historical change on cognitive aging generally document that later-born cohorts outperform earlier-born cohorts on tests of fluid cognitive performance. It is often noted how advances in educational attainment contribute to this finding. Over the last century, work demands and characteristics have changed profoundly, with shifts from a manufacturing to service and technical economy. We used data from the Seattle Longitudinal Study to compare trajectories of cognitive change between earlier-born (1901-1938) and later-born cohorts (1939-1966). Our findings show that (a) later-born cohorts had higher levels of performance on most cognitive tasks and exhibited less decline in word fluency, (b) had more enriched perceived work environment as indicated by higher levels of worker control and innovation, with no cohort differences in work autonomy (c) these experiences were associated with higher levels of cognitive performance independent of education and consistently across cohorts. We discuss potential mechanisms underlying these associations.

THE ROLE OF WORK AND RETIREMENT IN COGNITIVE AND BRAIN AGING

According to the “use it or lose it” hypothesis of cognitive aging, cognitive enrichment and cognitively engaging activities are associated with the maintenance of high levels of cognitive functioning in old age. Similar ideas have been brought forward with respect to characteristics of individuals’ work environment, with more cognitively enriching work demands providing an optimal environment for cognitive development and maintenance. The goal of this research group is to showcase new developments in research on work, retirement and cognitive aging. Hülür et al. examine the role of perceived work environment for cohort differences in trajectories of cognitive change based on 56-year longitudinal data from the Seattle Longitudinal Study. Andel et al. use data from the Swedish Adoption/Twin Study of Aging to examine trajectories of cognitive aging before vs. after retirement with two-slope growth curve models. Zulka et al. conduct a systematic literature review on the association between retirement and cognition and examine the role of factors such as occupational experiences and the cognitive domain studied. Burzynska et al. investigate the relationship between stressful and stimulating occupational exposures and structural brain health and cognition in older age. The discussion by George Rebok will focus on how these findings contribute to our understanding of the role of occupational experiences for cognitive and brain aging and how they can be utilized to promote maintenance of cognitive functioning in old age.

A Brief Neuropsychological Battery for Measuring Cognitive Functions Associated with Obesity.

Although ample evidence links obesity to cognitive dysfunction, the trajectory of cognitive change, the underlying mechanisms, and the involvement of related factors, such as metabolic disease and diet, remain unclear. To support further investigations of BMI and cognition, this study aimed to create a concise test battery to be used in future trials. Twenty neurocognitive measures were regressedon BMI in the Human Connectome Project Healthy Young Adult S1200 data release by using linear mixed models and by adjusting for major confounders. Measures were then identified by using least absolute shrinkage and selection operator regression analysis to select tests most strongly associated with BMI. To guide further test selection, the explained variance for each variable was visualized in the final model. BMI was negatively associated with seven neurocognitive measures. Variable selection yielded a model that included years of education and, in order of model weight, delay discounting, the relational task, the Penn Progressive Matrices test, the oral reading recognition test, the Variable Short Penn Line Orientation test, and the Penn Word Memory test. This researchresulted in an approximate 40-minute test battery for the BMI-cognition relationship in young adults that can be used in trials investigating the interrelationship between obesity and cognitive performance.

Physical Activity and Trajectories of Cognitive Change in Community-Dwelling Older Adults: The Rancho Bernardo Study.

Although physical activity has been associated with better cognitive function and reduced dementia risk, its association with cognitive decline in normal aging remains uncertain. To determine whether physical activity in youth and older age are associated with age-related cognitive change. Over a period of 27 years, 2,027 community-dwelling adults (mean age 73.5; 60% women) of the Rancho Bernardo Study of Healthy Aging completed up to seven cognitive assessments, including tests of global cognitive function, executive function, verbal fluency, and episodic memory. At each visit, participants reported concurrent physical activity. At baseline (1988- 1992), participants additionally reported physical activity as a teenager and at age 30. For each age period, participants were classified as regularly active (3+ times/week) or inactive. Associations between concurrent physical activity and better cognitive function were stronger with advancing age on all tests, even after accounting for education, health, and lifestyle factors, as well as survival differences (ps < 0.05). Baseline physical activity did not predict rates of cognitive decline (ps > 0.40). Individuals who were physically active at age 30 and older age maintained the highest global cognitive function with advancing age (p = 0.002). Regular physical activity is associated with better cognitive function with advancing age. Physical activity in young adulthood may contribute to cognitive reserve, which together with physical activity in later years, may act to preserve cognitive function with age.

Cognitive Aging and Long-Term Maintenance of Attentional Improvements Following Meditation Training

Sustained attention is effortful, demanding, and subject to limitations associated with age-related cognitive decline. Researchers have sought to examine whether attentional capacities can be enhanced through directed mental training, with a number of studies now offering evidence that meditation practice may facilitate generalized improvements in this domain. However, the extent to which attentional gains are maintained following periods of dedicated meditation training and how such improvements are moderated by processes of aging have yet to be characterized. In a prior report (Sahdra et al., Emotion 11, 299–312, 2011), we examined attentional performance on a sustained response inhibition task before, during, and after 3-months of full-time meditation. We now extend this prior investigation across additional follow-up assessments occurring up to 7 years after the conclusion of training. Performance improvements observed during periods of intensive practice were partially maintained several years later. Importantly, aging-related decrements in measures of response inhibition accuracy and reaction time variability were moderated by levels of continued meditation practice across the follow-up period. The present study is the first to offer evidence that intensive and continued meditation practice is associated with enduring improvements in sustained attention and response inhibition, with the potential to alter longitudinal trajectories of cognitive change across the lifespan.