Validation of the CogDrisk Instrument as Predictive of Dementia in Four General Community-Dwelling Populations.

BACKGROUND: Lack of external validation of dementia risk tools is a major limitation for generalizability and translatability of prediction scores in clinical practice and research. OBJECTIVES: We aimed to validate a new dementia prediction risk tool called CogDrisk and a version, CogDrisk-AD for predicting Alzheimer's disease (AD) using cohort studies. DESIGN, SETTING, PARTICIPANTS AND MEASUREMENTS: Four cohort studies were identified that included majority of the dementia risk factors from the CogDrisk tool. Participants who were free of dementia at baseline were included. The predictors were component variables in the CogDrisk tool that include self-reported demographics, medical risk factors and lifestyle habits. Risk scores for Any Dementia and AD were computed and Area Under the Curve (AUC) was assessed. To examine modifiable risk factors for dementia, the CogDrisk tool was tested by excluding age and sex estimates from the model. RESULTS: The performance of the tool varied between studies. The overall AUC and 95% CI for predicting dementia was 0.77 (0.57, 0.97) for the Swedish National study on Aging and Care in Kungsholmen, 0.76 (0.70, 0.83) for the Health and Retirement Study - Aging, Demographics and Memory Study, 0.70 (0.67,0.72) for the Cardiovascular Health Study Cognition Study, and 0.66 (0.62,0.70) for the Rush Memory and Aging Project. CONCLUSIONS: The CogDrisk and CogDrisk-AD performed well in the four studies. Overall, this tool can be used to assess individualized risk factors of dementia and AD in various population settings.

The feasibility of a multidomain dementia risk reduction randomised controlled trial for people experiencing cognitive decline: the Body, Brain, Life for Cognitive Decline (BBL-CD).

OBJECTIVES: To evaluate the feasibility of a proof-of-concept multidomain dementia risk reduction intervention. METHOD: An 8-week, parallel-group RCT, focused on increasing adherence to lifestyle domains of Mediterranean diet (MeDi), Physical Activity (PA), and Cognitive Engagement (CE). Feasibility was evaluated against the Bowen Feasibility Framework objectives of: Acceptability of the intervention, compliance with the protocol, and efficacy of the intervention to change behaviour in the three domains of interest. RESULTS: High acceptability of the intervention was demonstrated through a participant retention rate of 80.7% (Intervention: 84.2%; Control: 77.4%). Compliance to the protocol was strong with 100% of participants completing all educational modules and all MeDi and PA components, with 20% compliance for CE. Linear mixed models demonstrated efficacy to change behaviour through significant effects of adherence to MeDi (χ2 = 16.75, df = 3, p < .001) and CE (χ2 = 9.83, df = 3, p =.020), but not PA (χ2 = 4.48, df = 3, p =.211). CONCLUSION: Overall the intervention was shown to be feasible. Recommendations for future trials in this area are: The implementation of practical, one-on-one sessions as they are more effective than passive education at eliciting behaviour change; use of booster sessions to increase likelihood of lifestyle changes being sustained; and collection of qualitative data to identify barriers to change.

Cost-Effectiveness of Dementia Prevention Interventions.

BACKGROUND: Assessment of cost-effectiveness of interventions to address modifiable risk factors associated with dementia requires estimates of long-term impacts of these interventions which are rarely directly available and must be estimated using a range of assumptions. OBJECTIVES: To test the cost-effectiveness of dementia prevention measures using a methodology which transparently addresses the many assumptions required to use data from short-term studies, and which readily incorporates sensitivity analyses. DESIGN: We explore an approach to estimating cost-effective prices which uses aggregate data including estimated lifetime costs of dementia, both financial and quality of life, and incorporates a range of assumptions regarding sustainability of short- term gains and other parameters. SETTING: The approach is addressed in the context of the theoretical reduction in a range of risk factors, and in the context of a specific small-scale trial of an internet-based intervention augmented with diet and physical activity consultations. MEASUREMENTS: The principal outcomes were prices per unit of interventions at which interventions were cost-effective or cost-saving. RESULTS: Taking a societal perspective, a notional intervention reducing a range of dementia risk-factors by 5% was cost-effective at $A460 per person with higher risk groups at $2,148 per person. The on-line program costing $825 per person was cost-effective at $1,850 per person even if program effect diminished by 75% over time. CONCLUSIONS: Interventions to address risk factors for dementia are likely to be cost-effective if appropriately designed, but confirmation of this conclusion requires longer term follow-up of trials to measure the impact and sustainability of short-term gains.

Oxidative stress, inflammation and risk of neurodegeneration in a population sample.

BACKGROUND AND PURPOSE: Inflammation and oxidative stress (OS) have been clearly linked to neurodegeneration. However, studies investigating the associations between peripheral markers of inflammation and cognitive decline have produced mixed results. This is possibly due to the fact that markers are typically tested individually despite the fact that biologically they function interactively. Thus, the aim of this study was to investigate the association between a combination of OS/inflammation markers and outcomes including mild cognitive impairment (MCI) diagnosis, cognitive decline and hippocampal atrophy. METHODS: Oxidative stress/inflammation status was assessed in 380 older community-living individuals. Thirteen blood markers were assayed. Principal component analysis (PCA) of all markers was conducted to identify the more salient inflammatory components. Associations between significant principal components, MCI diagnosis, previous change in Mini-Mental State Examination (MMSE) score and hippocampal atrophy were investigated through logistic and linear multiple regression. RESULTS: Two factors (PC1 and PC2) reflecting predominantly broad pro-inflammatory activity and two factors (PC3 and PC4) reflecting predominantly OS activity were identified by PCA analysis. PC3 and PC4 were predictive of MCI. PC3 was also predictive of prior MMSE change. PC1, PC2 and PC3 were significantly associated with hippocampal atrophy. CONCLUSIONS: Combined analysis of complex and interacting biomarkers revealed a protective association between antioxidant activity and MCI that is consistent with lifestyle factors shown to reduce risk of cognitive decline. OS and broad systemic inflammation were also found to be associated with hippocampal atrophy further highlighting the benefits of the PCA methodology applied in this study.

Subjective memory complaints and incident dementia in a high risk older adult hypertensive population.

BACKGROUND: there is a growing body of evidence demonstrating an association between subjective memory complaints (SMC) and an increased risk of incident cognitive decline or dementia. To date this has not been examined in hypertensive older adults, a prevalent and growing population group at high risk of cognitive decline. METHODS: using data from participants in the Hypertension in the Very Elderly Trial cohort the association between baseline SMC and incident cognitive decline and dementia was examined using Cox proportional hazard regression. Cognitive function was assessed using the Mini-Mental State Exam and diagnoses of dementia were made using standard diagnostic criteria. SMC was assessed by the question 'do you feel that you have more problems with memory than most?' Analyses were rerun to examine the associations by level of baseline cognitive function, to evaluate the role of SMC by dementia type and by sex. RESULTS: baseline SMC were associated with an increased risk of developing any dementia (hazard ratio (HR)1.63 (95% confidence intervals (CI): 1.18:2.25)), Alzheimer's disease (HR1.59 (95% CI: 1.08:2.34)) and vascular dementia (HR2.05 (95% CI: 1.19:3.54)). Similar patterns were seen across all levels of baseline MMSE but were strongest in those with scores of 25-27. There were no clear differences by sex. DISCUSSION: a positive report of SMC assessed by a single question in an older adult with hypertension raises the possibility of increased risk of incident dementia. As such its use may be a useful addition to the repertoire of the general practitioner and geriatrician when assessing older adults.

The impact of type 2 diabetes and body mass index on cerebral structure is modulated by brain reserve.

BACKGROUND AND PURPOSE: Body mass index (BMI), hyperglycaemia and type 2 diabetes and their interactive effects are associated with brain volume atrophy in ageing. It remains to be established if these risk factors are particularly concerning in individuals with high or low brain volumes. METHODS: Demographics, venous blood and magnetic resonance imaging data were collected for 494 healthy community-living adults aged 53-78 (mean 65) years, as part of the Personality and Total Health Through Life study. Associations between BMI, blood glucose, diabetes status and brain volume (whole brain, grey matter, white matter and subcortical structures) were investigated using quantile regression. RESULTS: Quantile regression revealed vulnerability to BMI × glucose interactions particularly in lower volumes and significant main effects for type 2 diabetes particularly in higher volumes. Diabetes was most strongly associated with brain volumes. The association between BMI, blood glucose and diabetes was not consistent across the full range of brain volumes. CONCLUSION: Explicit investigation of the upper and lower boundaries of brain volume distributions was valuable. We found evidence of protective reserve from higher brain volumes and that a combination of high BMI and higher blood glucose was particularly concerning for individuals with lower brain volumes.

Combining Geospatial Analysis with Dementia Risk Utilising General Practice Data: A Systematic Review.

Geographical information systems (GIS) and geospatial analysis techniques will help to identify significant dementia risk clusters (hotspots) across communities and will enable policy makers to target prevention interventions to the right place. This review synthesises the published literature on geospatial analysis techniques for quantifying and mapping dementia risk, and reviews available dementia risk assessment tools. A systematic literature review was undertaken in four medical and life sciences databases (PubMed, Cochrane Central, Embase, and Web of Sciences) from their inception to March 2017 for all articles relating to dementia. The search terms included: 'dementia', 'Alzheimer's disease', 'general practice database', 'family physician', 'AD risk assessment tools', 'Geographical Information Systems' and 'geospatial analysis', 'geographical variation' and 'spatial variation'. To date, most geospatial studies on dementia have been carried out retrospectively using population based data. An alternative approach is utilisation of a rich source of general practice (family physician) databases to predict dementia risk based on available dementia risk assessment tools. In conclusion, the estimated risks of dementia can thus be geo-attributed and mapped at a small scale using geographical information systems and geospatial analysis techniques to identify dementia risk clusters across the communities and refine our understanding of the interaction between socio-demographic and environmental factors, and dementia risk clusters. .

Collaborative meta-analysis finds no evidence of a strong interaction between stress and 5-HTTLPR genotype contributing to the development of depression.

The hypothesis that the S allele of the 5-HTTLPR serotonin transporter promoter region is associated with increased risk of depression, but only in individuals exposed to stressful situations, has generated much interest, research and controversy since first proposed in 2003. Multiple meta-analyses combining results from heterogeneous analyses have not settled the issue. To determine the magnitude of the interaction and the conditions under which it might be observed, we performed new analyses on 31 data sets containing 38 802 European ancestry subjects genotyped for 5-HTTLPR and assessed for depression and childhood maltreatment or other stressful life events, and meta-analysed the results. Analyses targeted two stressors (narrow, broad) and two depression outcomes (current, lifetime). All groups that published on this topic prior to the initiation of our study and met the assessment and sample size criteria were invited to participate. Additional groups, identified by consortium members or self-identified in response to our protocol (published prior to the start of analysis) with qualifying unpublished data, were also invited to participate. A uniform data analysis script implementing the protocol was executed by each of the consortium members. Our findings do not support the interaction hypothesis. We found no subgroups or variable definitions for which an interaction between stress and 5-HTTLPR genotype was statistically significant. In contrast, our findings for the main effects of life stressors (strong risk factor) and 5-HTTLPR genotype (no impact on risk) are strikingly consistent across our contributing studies, the original study reporting the interaction and subsequent meta-analyses. Our conclusion is that if an interaction exists in which the S allele of 5-HTTLPR increases risk of depression only in stressed individuals, then it is not broadly generalisable, but must be of modest effect size and only observable in limited situations.

Body mass index is associated with cortical thinning with different patterns in mid- and late-life.

OBJECTIVE: High BMI at midlife is associated with increased risk of dementia as well as faster decline in cognitive function. In late-life, however, high BMI has been found to be associated with both increased and decreased dementia risk. The objective of this study was to investigate the neural substrates of this age-related change in body mass index (BMI) risk. METHODS: We measured longitudinal cortical thinning over the whole brain, based on magnetic resonance imaging scans for 910 individuals aged 44-66 years at baseline. Subjects were sampled from a large population study (PATH, Personality and Total Health through Life). After attrition and exclusions, the final analysis was based on 792 individuals, including 387 individuals aged 60-66 years and 405 individuals aged 44-49 years. A mixed-effects model was used to test the association between cortical thinning and baseline BMI, as well as percentage change in BMI. RESULTS: Increasing BMI was associated with increased cortical thinning in posterior cingulate at midlife (0.014 mm kg-1 m-2, confidence interval; CI=0.005, 0.023, P<0.05 false discovery rate (FDR) corrected). In late-life, increasing BMI was associated with reduced cortical thickness, most prominently in the right supramarginal cortex (0.010 mm kg-1 m-2, CI=0.005-0.016, P<0.05 FDR corrected), as well as frontal regions. In late-life, decreasing BMI was also associated with increased cortical thinning, including right caudal middle frontal cortex (0.014 mm kg-1 m-2 (CI=0.006-0.023, P<0.05 FDR corrected). CONCLUSIONS: The pattern of cortical thinning-in association with increasing BMI at both midlife and late-life-is consistent with known obesity-related dementia risk. Increased cortical thinning in association with decreasing BMI at late-life may help explain the 'obesity paradox', where high BMI in midlife appears to be a risk factor for dementia, but high BMI in late-life appears, at times, to be protective.

Traumatic Brain Injury and Depression in a Community-Based Sample: A Cohort Study Across the Adult Life Span.

OBJECTIVES: To determine whether self-reported traumatic brain injuries (TBIs) are associated with "cases" of clinically significant depression in the general community. To examine interactions between variables previously linked to depression after a TBI. SETTING: Population-based community study (Canberra and Queanbeyan, Australia). PARTICIPANTS AND DESIGN: Three age cohorts: young, middle-aged, and older adults (aged 20-24, 40-44, and 60-64 years at baseline) randomly selected from the electoral roll and followed across 3 waves (4 years apart). A total of 7397, 6621, and 6042 people provided their TBI history in waves 1 to 3. MEASURES: Lifetime (TBIlifetime: sustained at any time since birth), recent (TBIrecent: in the preceding 4 years), and multiple (TBImultiple: more than 1) TBIs, current depression, and known risk factors for depression (age, sex, marital/employment status, prior history of depression, medical conditions, recent life events, alcohol consumption, social support, physical activity). RESULTS: Generalized estimating equations demonstrated a significant association between sustaining a TBI and experiencing clinically significant depression (cases), even after controlling for multiple demographic and health/lifestyle factors. CONCLUSION: There is an enduring association between depression and TBI, suggesting that, following a TBI, individuals should be monitored and supported to optimize their long-term psychological health.

Association of AKAP6 and MIR2113 with cognitive performance in a population-based sample of older adults.

Genetic factors make a substantial contribution to inter-individual variability in cognitive function. A recent meta-analysis of genome-wide association studies identified two loci, AKAP6 and MIR2113, that are associated with general cognitive function. Here, we extend this previous research by investigating the association of MIR2113 and AKAP6 with baseline and longitudinal non-linear change across a broad spectrum of cognitive domains in a community-based cohort of older adults without dementia. Two single nucleotide polymorphisms (SNPs), MIR211-rs10457441 and AKAP6-rs17522122 were genotyped in 1570 non-demented older Australians of European ancestry, who were examined up to 4 times over 12 years. Linear mixed effects models were used to examine the association between AKAP6 and MIR2113 with cognitive performance in episodic memory, working memory, vocabulary, perceptual speed and reaction time at baseline and with linear and quadratic rates of change. AKAP6-rs17522122*T was associated with worse baseline performance in episodic memory, working memory, vocabulary and perceptual speed, but it was not associated with cognitive change in any domain. MIR2113-rs10457441*T was associated with accelerated decline in episodic memory. No other associations with baseline cognitive performance or with linear or quadratic rate or cognitive changes were observed for this SNP. These results confirm the previous finding that AKAP6 is associated with performance across multiple cognitive domains at baseline but not with cognitive decline, while MIR2113 primarily affects the rate at which memory declines over time.

Anxiety and comorbid depression following traumatic brain injury in a community-based sample of young, middle-aged and older adults.

BACKGROUND: Anxiety is common following a traumatic brain injury (TBI), but who is most at risk, and to what extent, is not well understood. METHODS: Longitudinal data from a randomly-selected community sample (Wave 1: 7397, Wave 2: 6621 and Wave 3: 6042) comprising three adult cohorts (young: 20-24 years of age, middle-aged: 40-44, older: 60-64), were analysed. The association between TBI history, anxiety and comorbid depression was assessed, controlling for age, sex, marital/employment status, medical conditions, recent life events, alcohol consumption, social support and physical activity. RESULTS: Thirteen percent of the sample had sustained a TBI by Wave 3, 35% of whom had sustained multiple TBIs. Cross-sectional analyses revealed that clinically-significant anxiety was more common in people who had sustained a TBI. Longitudinal analyses demonstrated an increased risk of anxiety post-TBI, even after controlling for potential demographic, health and psychosocial confounds. Anxiety was more common than depression, although 10% of those with a TBI experienced comorbid anxiety/depression. LIMITATIONS: TBIs were not medically confirmed and anxiety and depression were only assessed every four years by self-report, rather than clinical interview. Sample attrition resulted in the retention of healthier individuals at each wave. CONCLUSIONS: TBIs are associated with a lifelong increased risk of experiencing clinically-significant anxiety, highlighting the chronic nature of TBI sequelae. Positive lifestyle changes (e.g., increasing physical activity, reducing alcohol consumption) may decrease the risk of anxiety problems in the early years after a TBI. Comorbid anxiety and depression was common, indicating that both should be monitored and treated.

Being overweight is associated with hippocampal atrophy: the PATH Through Life Study.

BACKGROUND: The prevalence of obesity has increased dramatically in the past two decades, with major implications for individual well-being, population health and the economy. Of particular concern is the risk obesity presents for brain health and its consequences in an ageing population. These associations and their time course are not well understood, particularly after middle age. The aim of this study was to investigate whether being overweight/obese or having an increasing body weight is associated with hippocampal atrophy in early old age. METHODS: Participants were 420 unimpaired (Mini-Mental State Examination >26) individuals aged 60-64 years, living in the community and taking part in a large prospective study of ageing over an 8 year follow-up. Magnetic resonance imaging scans were collected at three assessments and the hippocampus was manually traced by expert neuroscientists. Multi-level analyses assessing the relationship between body mass index (BMI) and hippocampal atrophy over 8 years while controlling for important covariates were conducted. RESULTS: Analyses showed that BMI was negatively associated with left (coefficient: -10.65 mm(3); s.e. 4.81; P=0.027) and right (coefficient: -8.18 mm(3); s.e. 4.91; P=0.097) hippocampal volume at the first assessment. Over the follow-up period, those with a higher BMI experienced greater hippocampal atrophy and more so in the left (P=0.001) than in the right (P=0.058) hippocampus. CONCLUSIONS: The findings from this study provide important evidence indicating that being overweight or obese is associated with poorer brain health. These results are consistent with those of previous animal and human studies and further stress the importance of reducing the rate of obesity through education, population health interventions and policy.

The metabolic syndrome and cancer: Is the metabolic syndrome useful for predicting cancer risk above and beyond its individual components?

AIMS: The metabolic syndrome (MetS) is a risk factor for cancer. However, it is not known if the MetS confers a greater cancer risk than the sum of its individual components, which components drive the association, or if the MetS predicts future cancer risk. MATERIALS AND METHODS: We linked 20,648 participants from the Australian and New Zealand Diabetes and Cancer Collaboration with complete data on the MetS to national cancer registries and used Cox proportional hazards models to estimate associations of the MetS, the number of positive MetS components, and each of the five MetS components separately with the risk for overall, colorectal, prostate and breast cancer. Hazard ratios (HR) and 95% confidence intervals (95%CI) are reported. We assessed predictive ability of the MetS using Harrell's c-statistic. RESULTS: The MetS was inversely associated with prostate cancer (HR 0.85; 95% CI 0.72-0.99). We found no evidence of an association between the MetS overall, colorectal and breast cancers. For those with five positive MetS components the HR was 1.12 (1.02-1.48) and 2.07 (1.26-3.39) for overall, and colorectal cancer, respectively, compared with those with zero positive MetS components. Greater waist circumference (WC) (1.38; 1.13-1.70) and elevated blood pressure (1.29; 1.01-1.64) were associated with colorectal cancer. Elevated WC and triglycerides were (inversely) associated with prostate cancer. MetS models were only poor to moderate discriminators for all cancer outcomes. CONCLUSIONS: We show that the MetS is (inversely) associated with prostate cancer, but is not associated with overall, colorectal or breast cancer. Although, persons with five positive components of the MetS are at a 1.2 and 2.1 increased risk for overall and colorectal cancer, respectively, and these associations appear to be driven, largely, by elevated WC and BP. We also demonstrate that the MetS is only a moderate discriminator of cancer risk.

Interventions to Prevent Cognitive Decline and Dementia in Adults without Cognitive Impairment: A Systematic Review.

Without preventative strategies, the burden of dementia is likely to increase rapidly worldwide. Primary prevention approaches involve modifying risk factors before symptoms of cognitive impairment develop. This review systematically assesses Randomised Controlled Trials (RCTs) and reviews of RCTs for their effectiveness in primary prevention. We searched Medline, the Cochrane Library, Web of Science and Psych-Info for relevant studies using pre-determined keywords. Both non-pharmacological and pharmacological interventions were considered. Inclusion criteria were sample size greater or equal to 50, at least 6 months of follow-up, and participants with no cognitive impairment at baseline. Outcomes included dementia incidence, cognitive decline and cognitive function. Study quality was rated using the Jadad criteria. Thirty-nine studies, 17 non-pharmacological and 22 pharmacological, were included. Results were heterogeneous across interventions and studies, with few significant effects. Studies investigating physical activity and calcium channel blocker treatment demonstrated significant effects in preventing cognitive decline. There were no conclusive results demonstrating overall capacity of assessed interventions to reduce risk of dementia. The review provides an overview of the current literature, and identifies areas in need of further research.

The utility of estimating population-level trajectories of terminal wellbeing decline within a growth mixture modelling framework.

PURPOSE: Mortality-related decline has been identified across multiple domains of human functioning, including mental health and wellbeing. The current study utilised a growth mixture modelling framework to establish whether a single population-level trajectory best describes mortality-related changes in both wellbeing and mental health, or whether subpopulations report quite different mortality-related changes. METHODS: Participants were older-aged (M = 69.59 years; SD = 8.08 years) deceased females (N = 1,862) from the dynamic analyses to optimise ageing (DYNOPTA) project. Growth mixture models analysed participants' responses on measures of mental health and wellbeing for up to 16 years from death. RESULTS: Multi-level models confirmed overall terminal decline and terminal drop in both mental health and wellbeing. However, modelling data from the same participants within a latent class growth mixture framework indicated that most participants reported stability in mental health (90.3 %) and wellbeing (89.0 %) in the years preceding death. CONCLUSIONS: Whilst confirming other population-level analyses which support terminal decline and drop hypotheses in both mental health and wellbeing, we subsequently identified that most of this effect is driven by a small, but significant minority of the population. Instead, most individuals report stable levels of mental health and wellbeing in the years preceding death.

Gender differences in the trajectories of late-life depressive symptomology and probable depression in the years prior to death.

BACKGROUND: Gender differences in depression are well established. Whether these differences persist into late life and in the years preceding death is less clear. There is a suggestion that there is no increased likelihood of depression in late life, but that there is an increase in depressive symptomology, particularly with proximity to death. We compared trajectories of probable depression and depressive symptomology between men and women over age and distance-to-death metrics to determine whether reports of depressive symptoms are more strongly related to age or mortality. METHODS: Participants (N = 2,852) from the Dynamic Analyses to Optimise Ageing (DYNOPTA) project had a mean age of 75 years (SD = 5.68 years) at baseline and were observed for up to 16 years prior to death. Multi-level regression models estimated change in depressive symptomology and probable depression over two time metrics, increasing age, and distance-to-death. RESULTS: Increases in depressive symptomology were reported over increasing age and in the years approaching death. Only male participants reported increased probable depression in the years preceding death. Models that utilized distance-to-death metrics better represented changes in late-life depression, although any changes in depression appear to be accounted for by co-varying physical health status. CONCLUSIONS: As death approaches, there are increases in the levels of depressive symptomology even after controlling for socio-demographic and health covariates. In line with increases in suicide rates in late life, male participants were at greater risk of reporting increases in depressive symptomology.

Online memory screening--are older adults interested and can it work?

Subjective memory concerns are common in older adults and may prompt the use of web-based cognitive screening. Websites which purport to provide memory screening are numerous and can influence health behaviours; however there is currently limited evidence regarding their validity. The current research aims to assess potential user's attitudes and motivations regarding online cognitive screening and to evaluate the preliminary evidence for the feasibility and validity of two subjective online cognitive measures. The sample consisted of community-based older adults, 30 with, and 30 without, memory concerns. Participants rated their likelihood of their accessing online cognitive screening and gave rationales. Participants' performance on objective pen and paper measures of cognition was compared to performance on subjective online screening measures. The majority of participants indicated they would access online cognitive screening. A total of 100% of participants were able to use the online tools without assistance. None of the online measures was positively associated with the pen and paper screening measures. Anxiety and depression were significantly associated with subjective memory concerns. This study provided no supporting evidence for the validity of either subjective online screening measure assessed. Anxiety and depression were significantly associated with subjective cognition, indicating that, although they may not predict objective cognition, complaints about memory in older adults should be taken seriously by health professionals.