Co-morbidity of depression and anxiety in common age-related eye diseases: a population-based study of 662 adults

This study examined the prevalence of co-morbid age-related eye disease and symptoms of depression and anxiety in late life, and the relative roles of visual function and disease in explaining symptoms of depression and anxiety. A community-based sample of 662 individuals aged over 70 years was recruited through the electoral roll. Vision was measured using a battery of tests including high and low contrast visual acuity, contrast sensitivity, motion sensitivity, stereoacuity, Useful Field of View, and visual fields. Depression and anxiety symptoms were measured using the Goldberg scales. The prevalence of self-reported eye disease [cataract, glaucoma, or age-related macular degeneration (AMD)] in the sample was 43.4%, with 7.7% reporting more than one form of ocular pathology. Of those with no eye disease, 3.7% had clinically significant depressive symptoms. This rate was 6.7% among cataract patients, 4.3% among those with glaucoma, and 10.5% for AMD. Generalized linear models adjusting for demographics, general health, treatment, and disability examined self-reported eye disease and visual function as correlates of depression and anxiety. Depressive symptoms were associated with cataract only, AMD, comorbid eye diseases and reduced low contrast visual acuity. Anxiety was significantly associated with self-reported cataract, and reduced low contrast visual acuity, motion sensitivity and contrast sensitivity. We found no evidence for elevated rates of depressive or anxiety symptoms associated with self-reported glaucoma. The results support previous findings of high rates of depression and anxiety in cataract and AMD, and in addition show that mood and anxiety are associated with objective measures of visual function independently of self-reported eye disease. The findings have implications for the assessment and treatment of mental health in the context of late-life visual impairment.NHMRC (National Health and Medical Research Council of Australia

The Effect of Diabetes Medication on Cognitive Function: Evidence from the PATH Through Life Study

Objective. To examine the effect of diabetes treatment on change of measures of specific cognitive domains over 4 years. Research Design and Methods. The sample was drawn from a population-based cohort study in Australia (the PATH Through Life Study) and comprised 1814 individuals aged 65-69 years at first measurement, of whom 211 were diagnosed with diabetes. Cognitive function was measured using 10 neuropsychological tests. The effect of type of diabetes treatment (diet, oral hypoglycemic agents, and insulin) on measures of specific cognitive domains was assessed using Generalized Linear Models adjusted for age, sex, education, smoking, physical activity level, BMI, and hypertension. Results. Comparison of cognitive function between diabetes treatment groups showed no significant effect of type of pharmacological treatment on cognitive function compared to diet only group or no diabetes group. Of those on oral hypoglycaemic treatment only, participants who used metformin alone had better cognitive function at baseline for the domains of verbal learning, working memory, and executive function compared to participants on other forms of diabetic treatment. Conclusion. This study did not observe significant effect from type of pharmacological treatment for diabetes on cognitive function except that participants who only used metformin showed significant protective effect from metformin on domain of verbal learning, working memory, and executive function.The PATH Through Life Study was funded by National Health and Medical Research Council (NHMRC) Grants (973302, 179805, and 350833). Kaarin J. Anstey and Nicolas Cherbuin were supported by NHMRC Fellowships (002560 and 1063907, resp.). Pushpani M. Herath was supported by Australian National University International Student Scholarship and Australian Research Council Centre for Excellence in Population Ageing Research (CEPAR)

The impact of mild cognitive impairment on decision-making under explicit risk conditions: Evidence from the Personality and Total Health (PATH) Through Life longitudinal study

Objective: Previous research has indicated that cognition and executive function are associated with decision-making, however the impact of mild cognitive impairment (MCI) on decision-making under explicit risk conditions is unclear. This cross-sectional study examined the impact of MCI, and MCI subtypes, on decision-making on the Game of Dice Task (GDT), among a cohort of older adults. Method: Data from 245 older adult participants (aged 72-78 years) from the fourth assessment of the Personality and Total Health Through Life study were analyzed. A diagnostic algorithm identified 103 participants with MCI, with subtypes of single-domain amnestic MCI (aMCI-single; n = 38), multi-domain amnestic MCI (aMCI-multi; n = 31), and non-amnestic MCI (n = 33), who were compared with an age-, sex-, education-, and income-matched sample of 142 cognitively unimpaired older adults. Decision-making scores on the GDT (net score, single number choices, and strategy changes) were compared between groups using nonparametric tests. Results: Participants with MCI showed impaired performance on the GDT, with higher frequencies of single number choices and strategy changes. Analyses comparing MCI subtypes indicated that the aMCI-multi subtype showed increased frequency of single number choices compared to cognitively unimpaired participants. Across the sample of participants, decision-making scores were associated with measures of executive function (cognitive flexibility and set shifting). Conclusion: MCI is associated with impaired decision-making performance under explicit risk conditions. Participants with impairments in multiple domains of cognition showed the clearest impairments. The GDT may have utility in discriminating between MCI subtypes

Development and Concurrent Validity of the Short-Form CogDrisk Dementia Risk Assessment Tool

Evidence-based dementia risk assessment is required to inform individual and policy-level dementia risk reduction interventions. We developed the CogDrisk Short Form (CogDrisk-SF) to assess dementia risk factors, for situations where time and resources are limited. To evaluate concurrent validity with the original CogDrisk, we conducted an online survey using a repeated-measures, counterbalanced design. Community dwelling participants (n = 647, 50.1% were female, mean age 62.2 years, age range 40–89) completed the survey. The mean(sd) score for CogDrisk-SF and the CogDrisk was 9.7 (5.3) and 9.9 (5.5), respectively. The intraclass correlation between the risk score obtained from CogDrisk and CogDrisk-SF was 0.92. Fish intake, insomnia and depression had percentage agreements of 79%, 87% and 89% respectively. Other items had >95% agreement except for loneliness (94%), hypertension (94%), cholesterol (93%), atrial fibrillation (91%) and cognitive activity (90%). Very high agreement between the CogDrisk-SF and original CogDrisk shows that CogDrisk-SF is valid for use in research and clinical practice

A longitudinal examination of the relationship between cannabis use and cognitive function in mid-life adults

Background: The relationship between cannabis use and cognitive function in mid-life has rarely been examined despite verbal learning deficits in young adults. Method: A longitudinal cohort study of 1,897 Australians recruited at 40–46 years of age and followed up 4 years (94%) and 8 years (87%) later. Random effects regression was used to assess within- and between-person associations between cannabis use and cognitive function across waves of data, and examine whether age-related changes in cognitive performance were modified by cannabis use. The first list of the California Verbal Learning Test (immediate and delayed recall), Symbol Digit Modality Test, Digit Backwards, simple and choice reaction time tasks, were administered at each wave. The Spot-the-Word test was used to assess premorbid verbal ability. Self-reported cannabis use in the past year (no use, < weekly use, ≥ weekly use) was assessed at each wave. Findings: Participants who used cannabis ≥ weekly had worse immediate recall (b = −0.68, p = 0.014) and showed a trend toward worse delayed recall (b = −0.55, p = 0.062) compared to non-users after adjusting for correlates of cannabis use and premorbid verbal ability. These effects were due to between-person differences. There were no significant within-person associations between cannabis use and recall, nor was there evidence of greater cognitive decline in cannabis users with age. Conclusions: Mid-life cannabis users had poorer verbal recall than non-users, but this was not related to their current level of cannabis use, and cannabis use was not associated with accelerated cognitive decline

Development of the CogDrisk tool to assess risk factors for dementia

Introduction: We aimed to develop a comprehensive risk assessment tool for Alzheimer's disease (AD), vascular dementia (VaD), and any dementia, that will be applicable in high and low resource settings. Method: Risk factors which can easily be assessed in most settings, and their effect sizes, were identified from an umbrella review, or estimated using meta-analysis where new data were available. Results: Seventeen risk/protective factors met criteria for the algorithm to estimate risk for any dementia including age, sex, education, hypertension, midlife obesity, midlife high cholesterol, diabetes, insufficient physical activity, depression, traumatic brain injury, atrial fibrillation, smoking, social engagement, cognitive engagement, fish consumption (diet), stroke, and insomnia. A version for AD excluded atrial fibrillation and insomnia due to insufficient evidence and included pesticide exposure. There was insufficient evidence for a VaD risk score. Discussion: Validation of the tool on external datasets is planned. The assessment tool will assist with implementing risk reduction guidelines

A Scoping Survey to Inform Design of Digital Dementia Risk Reduction Interventions for Adults Concerned about their Cognitive Health

Background: Digital dementia risk reduction interventions are cost-effective and scalable. However, it is unknown how they are perceived by people already experiencing cognitive concerns or decline. Objective: To understand the current use, interest, and preferences for online learning courses and interest in learning about factors influencing brain health and dementia risk among adults ≥45. To explore potential differences between individuals experiencing cognitive concerns and those without. Methods: Adults aged 45 and older completed a survey on technology use and healthy ageing (n = 249, Mean age = 65.6, 76.3% female). The Memory Assessment Clinic-Questionnaire was used to assess subjective memory decline, and 153 participants met the study criteria for cognitive concerns (≥25). Results: Almost all participants (98.4%) reported using two or more digital devices, and 51.8% reported increasing device usage following COVID-19. Most (92.1%) were interested in learning about healthy living and memory within an online course, and over 80% indicated a high interest in learning about dementia risk factors. People with cognitive concerns were more likely to report using a 'routine or system' to aid memory than people without (82.4% versus 62.9%, p = 0.001). However, no significant difference was found in technology use, course preferences, or interest in learning about different risk factors. Conclusions: We conclude that adults 45 years and over are interested in online methods for learning about brain health and offer unique insights into adapting dementia prevention programs for cognitive concerns

Self-Reported Cognitive Decline on the Informant Questionnaire on Cognitive Decline in the ElderlyIs Associated with Dementia, Instrumental Activities of Daily Living and Depression but Not Longitudinal Cognitive Change

Background/Aim: A subjective history of cognitive decline is integral to dementia screening, yet there are few data on the accuracy of retrospective self-reports. We prospectively examined the longitudinal predictors of self-reported decline, including rate of cognitive change, clinical diagnosis, depressive symptoms and personality. Methods: We used a large (n = 2,551) community-dwelling sample of older adults (60-64 years at baseline) and tracked their cognitive functioning over 3 waves across a period of 8 years. Individual rates of change in multiple domains of cognition, incident dementia and mild cognitive disorders, apolipoprotein E (APOE) ε4 genotype, level of education, depressive symptoms and personality were examined as predictors of wave 3 retrospective self-reported decline as measured by the Informant Questionnaire on Cognitive Decline in the Elderly. Results: The rate of cognitive decline did not predict subjective decline. Significant predictors of self-reported decline included dementia diagnosis, problems with instrumental activities of daily living, depression and neuroticism at the time of self-report, as well as the presence of an APOE ε4 allele. Conclusions: In this relatively young cohort, retrospective self-report of cognitive decline does not reflect objective deterioration in cognition over the time period in question, but it may identify individuals in the initial stages of dementia and those with elevated psychological and genotypic risk factors for the development of dementia

Gender specific factors contributing to cognitive resilience in APOE ɛ4 positive older adults in a population-based sample

Although APOE ɛ4 has been identified as the strongest genetic risk factor for Alzheimer’s Disease, there are some APOE ɛ4 carriers who do not go on to develop Alzheimer’s disease or cognitive impairment. This study aims to investigate factors contributing to this “resilience” separately by gender. Data were drawn from APOE ɛ4 positive participants who were aged 60 + at baseline in the Personality and Total Health Through Life (PATH) Study (N = 341, Women = 46.3%). Participants were categorised into “resilient” and “non-resilient” groups using Latent Class Analysis based on their cognitive impairment status and cognitive trajectory across 12 years. Logistic regression was used to identify the risk and protective factors that contributed to resilience stratified by gender. For APOE ɛ4 carriers who have not had a stroke, predictors of resilience were increased frequency of mild physical activity and being employed at baseline for men, and increased number of mental activities engaged in at baseline for women. The results provide insights into a novel way of classifying resilience among APOE ɛ4 carriers and risk and protective factors contributing to resilience separately for men and women

Cognitive benefits of social dancing and walking in old age: the Dancing Mind randomized controlled trial

Background: A physically active lifestyle has the potential to prevent cognitive decline and dementia, yet the optimal type of physical activity/exercise remains unclear. Dance is of special interest as it complex sensorimotor rhythmic activity with additional cognitive, social, and affective dimensions. Objectives: To determine whether dance benefits executive function more than walking, an activity that is simple and functional. Methods: Two-arm randomized controlled trial among community-dwelling older adults. The intervention group received 1 h of ballroom dancing twice weekly over 8 months (~69 sessions) in local community dance studios. The control group received a combination of a home walking program with a pedometer and optional biweekly group-based walking in local community park to facilitate socialization. Main outcomes: Executive function tests: processing speed and task shift by the Trail Making Tests, response inhibition by the Stroop Color-Word Test, working memory by the Digit Span Backwards test, immediate and delayed verbal recall by the Rey Auditory Verbal Learning Test, and visuospatial recall by the Brief Visuospatial Memory Test (BVST). Results: One hundred and fifteen adults (mean 69.5 years, SD 6.4) completed baseline and delayed baseline (3 weeks apart) before being randomized to either dance (n = 60) or walking (n = 55). Of those randomized, 79 (68%) completed the follow-up measurements (32 weeks from baseline). In the dance group only, “non-completers” had significantly lower baseline scores on all executive function tests than those who completed the full program. Intention-to-treat analyses showed no group effect. In a random effects model including participants who completed all measurements, adjusted for baseline score and covariates (age, education, estimated verbal intelligence, and community), a between-group effect in favor of dance was noted only for BVST total learning (Cohen’s D Effect size 0.29, p = 0.07) and delayed recall (Cohen’s D Effect size = 0.34, p = 0.06). Conclusion: The superior potential of dance over walking on executive functions of cognitively healthy and active older adults was not supported. Dance improved one of the cognitive domains (spatial memory) important for learning dance. Controlled trials targeting inactive older adults and of a higher dose may produce stronger effects, particularly for novice dancers. Trial registration: Australian and New Zealand Clinical Trials Register (ACTRN12613000782730)