Abstract
. Background: it is unclear whether people with dementia (PwD) have more negative attitudes toward own aging (ATOA) than people without dementia and what factors influence ATOA among PwD. We investigated whether PwD have more negative ATOA than individuals without dementia and whether cognition and dementia subtype are associated with ATOA in PwD.Methods: Data from the IDEAL and PROTECT studies were used to compare ATOA between 1,502 PwD (mean (SD) age = 76.3 (8.5)) and 6,377 individuals without dementia (mean (SD) age = 66.1 (7.1)). Linear regressions and ANOVA were used.Results: PwD reported slightly more negative ATOA than people without dementia; this relationship disappeared after controlling for depression and self-rated health. In PwD more positive ATOA showed negligible associations with better general cognition, memory performance, verbal fluency, and visuospatial ability. However, after adjusting for covariates only better visuospatial ability predicted more positive ATOA. Additional analyses showed that before and after controlling for covariates, individuals with poorer self-reported visual acuity have more negative ATOA. Amongst dementia subtypes, people with Parkinson’s disease dementia and dementia with Lewy bodies reported most negative ATOA. Conclusions: ATOA between PwD and people without dementia do not differ. ATOA in PwD appear to be affected not by cognitive impairment but by other characteristics that vary across dementia subtypes. Among PwD, those with Parkinson’s disease dementia and dementia with Lewy bodies may have higher risk of experiencing negative ATOA due to the motor and visual impairments that they experience.

Abstract
. Higher awareness of positive age-related changes (AARC gains) is related to better mental health, whereas higher awareness of negative age-related changes (AARC losses) is related to poorer mental and physical health. So far perceived gains and losses have been explored separately, but people report gains and losses concurrently in varying degrees, and different profiles of gains and losses may be differentially associated with health. We identified profiles of gains and losses and explored whether different profiles differed in physical, mental, and cognitive health. We used cross-sectional data from the PROTECT study (N= 6,192; mean(SD) age= 66.1(7.0)). Using latent profile analysis, a four-class solution showed the best model fit. We found that 45% of people perceived many gains and few losses (Class 1); 24% perceived moderate gains and few losses (Class 2); 24% perceived many gains and moderate losses (Class 3); 7% perceived many gains and many losses (Class 4). Analysis of variance and Chi-square tests showed that Class 1 had relatively better physical, mental, and cognitive health, followed by Classes 2, 3, and 4. Experiencing one’s ageing to a high degree as gain may be related to better health only when individuals interpret ageing as involving low levels of loss across several life domains. Risk in terms of poorer health emerged in those who perceived high losses. Considering gains and losses in parallel, rather than separately, may lead to a more fine-tuned understanding of relations with health.

Higher awareness of positive age-related changes (AARC gains) is related to better mental health, whereas higher awareness of negative age-related changes (AARC losses) is related to poorer mental and physical health. So far perceived gains and losses have been explored separately, but people report gains and losses concurrently in varying degrees, and different profiles of gains and losses may be differentially associated with health. We identified profiles of gains and losses and explored whether different profiles differed in physical, mental, and cognitive health.
We used cross-sectional data from the PROTECT study (N= 6,192; mean (SD) age= 66.1(7.0)).
Using latent profile analysis, a four-class solution showed the best model fit. We found that 45% of people perceived many gains and few losses (Class 1); 24% perceived moderate gains and few losses (Class 2); 24% perceived many gains and moderate losses (Class 3); 7% perceived many gains and many losses (Class 4). Analysis of variance and Chi-squared tests showed that Class 1 had relatively better physical, mental, and cognitive health, followed by Classes 2, 3, and 4.
Experiencing one’s ageing to a high degree as gain may be related to better health only when individuals interpret ageing as involving low levels of loss across several life domains. Risk in terms of poorer health emerged in those who perceived high losses. Considering gains and losses in parallel, rather than separately, may lead to a more fine-tuned understanding of relations with health.

BACKGROUND: Mild Behavioral Impairment (MBI) is a neuropsychiatric syndrome describing later-life emergent apathy, mood/anxiety symptoms, impulse dyscontrol, social inappropriateness and psychosis that are not attributable to psychiatric diagnoses. MBI is an at-risk state for incident cognitive decline and dementia, and is associated with dementia biomarkers including amyloid beta; and neurofilament light. Thus, MBI may be an early clinical marker of neurodegenerative disease. In this study, we hypothesized that stratification by MBI in a cognitively normal sample would moderate the signal between Alzheimer disease (AD) genetic risk and cognition.
METHODS: Genetic, cognitive and MBI data was available for 3,126 PROTECT study participants over 50 without dementia. A general cognitive composite score was constructed based on scores on paired associates learning, digit span, self-ordered search and verbal reasoning. MBI was assessed using the MBI Checklist. Polygenic scores for AD were split by tertile (representing low, medium and high risk) and the sample was stratified by MBI into those with no symptoms and those with any symptoms.
RESULTS: AD genetic risk was associated with poorer cognition in the MBI strata only (MBI: F(2,1746)=4.95, p=0.007; no MBI: F(2,1366)=0.72, p=0.49). The mean difference between low and high genetic risk groups was significant (p=0.005) and the standardised effect size in the MBI sample was higher than in the whole sample.
CONCLUSIONS: These findings justify MBI screening to enrich samples with at-risk individuals, and underscore the importance of late-life neuropsychiatric symptoms in cognitive ageing.

Abstract
. Background: a questionnaire assessing awareness of positive and negative age-related changes (AARC gains and losses) was developed in the US and Germany. We validated the short form of the measure (AARC-10 SF) and the cognitive functioning subscale from the 50-item version of the AARC (AARC-50) questionnaire in the UK population aged 50 and over. Methods: Data from 9,410 participants (Mean (SD) age= 65.9 (7.1)) in the PROTECT cohort were used to explore and confirm the psychometric properties of the AARC measures including: validity of the factor structure; reliability; measurement invariance across men and women, individuals with and without a university degree, and in middle age, early old age, and advanced old age; and convergent validity with measures of self-perception of aging and mental, physical, and cognitive health. We explored the relationship between demographic variables (age, sex, marital status, employment, and university education) and AARC. Results: We confirmed the two-factor structure (gains and losses) of the AARC-10 SF and the AARC-50 cognitive functioning subscale. Both scales showed good reliability and good convergent validity for AARC losses, but weak convergent validity for AARC gains. For both scales metric invariance was held for the two subgroups defined by education level and age. For the AARC-50 subscale, but not for the AARC-10 SF, strong invariance was also held for the two subgroups defined by sex. Age, sex, marital status, employment, and university education predicted AARC gains and losses. Conclusions: the AARC-10 SF and AARC-50 cognitive functioning subscale identify UK individuals who perceive age-related changes in their mental, physical, and cognitive health.

Abstract
. Background: a questionnaire assessing awareness of positive and negative age-related changes (AARC gains and losses) was developed in the US and Germany. We validated the short form of the measure (AARC-10 SF) and the cognitive functioning subscale from the 50-item version of the AARC (AARC-50) questionnaire in the UK population aged 50 and over.Methods: Data from 14,797 participants in the “blind for review” cohort were used to explore and confirm the psychometric properties of the AARC measures including: validity of the factor structure; reliability; measurement invariance across males and females and across individuals with and without a university degree; and convergent validity with measures of self-perception of aging and mental, physical, and cognitive health. We also explored the relationship between demographic variables and AARC.Results: We confirmed the two-factor structure (gains and losses) of the AARC-10 SF and the AARC-50 cognitive functioning subscale. Both scales showed good reliability and convergent validity. The meaning of AARC gains and losses was the same across males and females and across individuals with and without a university degree. Items composing AARC scales had the same meaning across individuals with and without a university degree. Items composing the AARC-50 cognitive functioning subscale had the same meaning across males and females. Two items in the AARC-10 SF had different meaning across males and females. Demographic variables significantly predicted AARC gains and losses.Conclusions: the AARC-10 SF and AARC-50 cognitive functioning subscale can help to identify UK individuals who perceive age-related changes in their mental, physical, and cognitive health.

Abstract
. Background: a questionnaire assessing awareness of positive and negative age-related changes (AARC gains and losses) was developed in the US and Germany. We validated the short form of the measure (AARC-10 SF) and the cognitive functioning subscale from the 50-item version of the AARC (AARC-50) questionnaire in the UK population aged 50 and over. Methods: Data from 14,797 participants in the PROTECT cohort were used to explore and confirm the psychometric properties of the AARC measures including: validity of the factor structure; reliability; measurement invariance across males and females and across individuals with and without a university degree; and convergent validity with measures of self-perception of aging and mental, physical, and cognitive health. We also explored the relationship between demographic variables and AARC. Results: We confirmed the two-factor structure (gains and losses) of the AARC-10 SF and the AARC-50 cognitive functioning subscale. Both scales showed good reliability and convergent validity. The meaning of AARC gains and losses was the same across males and females and across individuals with and without a university degree. Items composing AARC scales had the same meaning across individuals with and without a university degree. Items composing the AARC-50 cognitive functioning subscale had the same meaning across males and females. Two items in the AARC-10 SF had different meaning across males and females. Demographic variables significantly predicted AARC gains and losses. Conclusions: the AARC-10 SF and AARC-50 cognitive functioning subscale can help to identify UK individuals who perceive age-related changes in their mental, physical, and cognitive health.

OBJECTIVE: Lower awareness of age-related gains (AARC-gains) and higher awareness of age-related losses (AARC-losses) may be risk factors for depressive and anxiety symptoms. We explored whether: (1) Baseline AARC-gains and AARC-losses predict depressive and anxiety symptoms at one-year follow-up; (2) age and rumination moderate these associations; (3) levels of AARC-gains and AARC-losses differ among individuals with different combinations of current and past depression and/or with different combinations of current and past anxiety. METHODS: in this one-year longitudinal cohort study participants (N = 3386; mean age = 66.0; SD = 6.93) completed measures of AARC-gains, AARC-losses, rumination, depression, anxiety, and lifetime diagnosis of depression and anxiety in 2019 and 2020. Regression models with tests of interaction were used. RESULTS: Higher AARC-losses, but not lower AARC-gains, predicted more depressive and anxiety symptoms. Age did not moderate these associations. Associations of lower AARC-gains and higher AARC-losses with more depressive symptoms and of higher AARC-losses with more anxiety symptoms were stronger in those with higher rumination. Individuals with both current and past depression reported highest AARC-losses and lowest AARC-gains. Those with current, but not past anxiety, reported highest AARC-losses. CONCLUSION: Perceiving many age-related losses may place individuals at risk of depressive and anxiety symptoms, especially those who frequently ruminate.

BACKGROUND: in the absence of disease-modifying treatments, identifying potential psychosocial risk factors for dementia is paramount. Depression and anxiety have been identified as potential risk factors. Studies however have yielded mixed findings, lending possibility to the fact that potential constellations of co-occurring depression and anxiety symptoms may better explain the link between affective symptoms and cognitive decline. METHODS: Data from participants (aged 50 and above) of the PROTECT study was used. Latent Class Analysis (LCA) was conducted on 21,684 participants with baseline anxiety and depression measures. Multiple linear regressions models, using a subset of these participants (N = 6136) who had complete cognition data at baseline and at 2-year follow-up, were conducted to assess for associations between class membership and longitudinal changes in cognition. RESULTS: the LCA identified a 5-class solution: "No Symptoms", "Sleep", "Sleep and Worry", "Sleep and Anhedonia", and "Co-morbid Depression and Anxiety". Class membership was significantly associated with longitudinal change in cognition. Furthermore, this association differed across different cognitive measures. LIMITATIONS: Limitations included significant attrition and a generally healthy sample which may impact generalisability. CONCLUSIONS: Substantial heterogeneity in affective symptoms could explain previous inconsistent findings concerning the association between affective symptoms and cognition. Clinicians should not focus solely on total symptom scores on a single affective domain, but instead on the presence and patterns of symptoms (even if sub-clinical) on measures across multiple affective domains. Identifying particular subgroups that are at greater risk of poor cognitive outcomes may support targeted prevention work.

Abstract
. Background
. It is unclear whether people with dementia (PwD) have more negative attitudes toward own aging (ATOA) than people without dementia and what factors influence ATOA among PwD. We investigated whether PwD have more negative ATOA than individuals without dementia and whether cognition and dementia subtype are associated with ATOA in PwD.
.
. Methods
. Data from the IDEAL and PROTECT studies were used to compare ATOA between 1502 PwD (mean (SD) age = 76.3 (8.5)) and 6377 individuals without dementia (mean (SD) age = 66.1 (7.1)). Linear regressions and ANOVA were used.
.
. Results
. PwD reported slightly more negative ATOA than people without dementia; this relationship disappeared after controlling for depression and self-rated health. In PwD more positive ATOA showed negligible associations with better general cognition, memory performance, verbal fluency, and visuospatial ability. However, after adjusting for covariates only better visuospatial ability predicted more positive ATOA. Additional analyses showed that before and after controlling for covariates, individuals with poorer self-reported visual acuity have more negative ATOA. Amongst dementia subtypes, people with Parkinson’s disease dementia and dementia with Lewy bodies reported most negative ATOA.
.
. Conclusions
. ATOA between PwD and people without dementia do not differ. ATOA in PwD appear to be affected not by cognitive impairment but by other characteristics that vary across dementia subtypes. Among PwD, those with Parkinson’s disease dementia and dementia with Lewy bodies may have higher risk of experiencing negative ATOA due to the motor and visual impairments that they experience.
.

OBJECTIVES: Older people describe positive and negative age-related changes, but we do not know much about what contributes to make them aware of these changes. We used content analysis to categorize participants' written comments and explored the extent to which the identified categories mapped onto theoretical conceptualizations of influences on awareness of age-related change (AARC). DESIGN: Cross-sectional observational study. PARTICIPANTS: the study sample comprised 609 UK individuals aged 50 years or over (mean (SD) age = 67.9 (7.6) years), enrolled in the PROTECT study. MEASUREMENTS: Between January and March 2019, participants provided demographic information, completed a questionnaire assessing awareness of age-related change (AARC-10 SF), and responded to an open-ended question asking them to comment on their responses. RESULTS: While some of the emerging categories were in line with the existing conceptual framework of AARC (e.g. experiencing negative changes and attitudes toward aging), others were novel (e.g. engagement in purposeful activities or in activities that distract from age-related thoughts). Analysis revealed some of the thought processes involved in selecting responses to the questionnaire items, demonstrating different ways in which people make sense of specific items. CONCLUSIONS: Results support the ability of the AARC questionnaire to capture perceived age-related changes in cognitive functioning, physical and mental health, and engagement in social activities and in healthy and adaptive behaviors. However, findings also suggest ways of enriching the theoretical conceptualization of how AARC develops and offer insights into interpretation of responses to measures of AARC.

INTRODUCTION: Multidomain interventions to address modifiable risk factors for dementia are promising, but require more cost-effective, scalable delivery. This study investigated the feasibility of the "Active Brains" digital behavior change intervention and its trial procedures. MATERIALS AND METHODS: Active Brains aims to reduce cognitive decline by promoting physical activity, healthy eating, and online cognitive training. We conducted 12-month parallel-design randomized controlled feasibility trials of "Active Brains" amongst "lower cognitive scoring" (n = 180) and "higher cognitive scoring" (n = 180) adults aged 60-85. RESULTS: We collected 67.2 and 76.1% of our 12-month primary outcome (Baddeley verbal reasoning task) data for the "lower cognitive score" and "higher cognitive score" groups, respectively. Usage of "Active Brains" indicated overall feasibility and satisfactory engagement with the physical activity intervention content (which did not require sustained online engagement), but engagement with online cognitive training was limited. Uptake of the additional brief telephone support appeared to be higher in the "lower cognitive score" trial. Preliminary descriptive trends in the primary outcome data might indicate a protective effect of Active Brains against cognitive decline, but further investigation in fully-powered trials is required to answer this definitively. DISCUSSION: Whilst initial uptake and engagement with the online intervention was modest, it was in line with typical usage of other digital behavior change interventions, and early indications from the descriptive analysis of the primary outcome and behavioral data suggest that further exploration of the potential protective benefits of Active Brains are warranted. The study also identified minor modifications to procedures, particularly to improve online primary-outcome completion. Further investigation of Active Brains will now seek to determine its efficacy in protecting cognitive performance amongst adults aged 60-85 with varied levels of existing cognitive performance.

Purpose: to investigate the cognitive, physical, and perceptual effects of sleep restriction (SR) in soccer players following a night match. Methods: in a crossover design, nine male soccer players from the English Premier League 2 (age, 21 ± 5 years; height, 1.80 ± 0.75 m; body mass, 74.2 ± 6.8 kg) recorded their sleep quality and quantity with sleep logs and a subjective survey after two night matches (19:00); one where sleep duration was not altered (CON) and one where sleep was restricted by a later bed-time (SR). Countermovement jump height (CMJ), subjective wellbeing (1-5 likert scale for mood, stress, fatigue, sleep, and soreness), and cognitive function were measured at baseline and the morning following the match (+12 h; M + 1). Results: Bed-time was later in SR than CON (02:36 ± 0.17 vs. 22:43 ± 29; P = .0001; ηp2 = 0.999) and sleep duration was shorter in SR than CON (5.37 ± 0.16 vs. 8.59 h ± 0.36; P = .0001; ηp2 = 0.926). CMJ decreased by ~8% after the match in both SR and CON (P = .0001; ηp2 = 0.915) but there were no differences between the conditions (P >. 05; ηp2 = 0.041-0.139). Wellbeing was rated worse after both matches (P = .0001; ηp2 = 0.949) but there were no differences between the trials (P >. 05; ηp2 = 0.172-257). SR did not influence cognitive function (P >. 05; interaction effects, ηp2 = 0.172-257). Conclusion: SR following a nighttime soccer match does not impair CMJ performance, subjective wellbeing, or cognitive function the following morning.

Anorexia Nervosa (AN) is a severe and often enduring disorder characterized by restriction of food intake, low body weight, fear of weight gain, and distorted body image. Investiga-tions on cognition performance in AN patients have yielded conflicting results. Using an established and sensitive computerized cognitive test battery, we aimed to assess core aspects of cognitive func-tion, including attention span, information processing, reasoning, working and episodic memory, in AN patients and controls. Patients were recruited from the Danish Prospective Longitudinal all-comer inclusion study in Eating Disorders (PROLED). Included were 26 individuals with AN and 36 healthy volunteers (HV). All were tested with CogTrack (an online cognitive assessment system) at baseline, and AN patients were tested again at a follow‐up time point after weight increase (n = 13). At baseline, AN patients showed faster reaction times in the attention tasks, as well as increased accuracy in grammatical reasoning compared to HV. There were no differences in cognitive function between AN patients and HV in the other cognitive domains measured (sustained attention, working and episodic memory, speed of retrieval, and speed of grammatical reasoning). No differences were visible in the AN sample between baseline and follow‐up. Performance did not correlate with any clinical variables in the AN sample. These findings supplement results from other studies suggesting increased concentration and reasoning accuracy in patients suffering from AN, who showed increased performance in cognitive tasks despite their illness.

BACKGROUND: By 2050, worldwide dementia prevalence is expected to triple. Affordable, scalable interventions are required to support protective behaviours such as physical activity, cognitive training and healthy eating. This paper outlines the theory-, evidence- and person-based development of 'Active Brains': a multi-domain digital behaviour change intervention to reduce cognitive decline amongst older adults. METHODS: During the initial planning phase, scoping reviews, consultation with PPI contributors and expert co-investigators and behavioural analysis collated and recorded evidence that was triangulated to inform provisional 'guiding principles' and an intervention logic model. The following optimisation phase involved qualitative think aloud and semi-structured interviews with 52 older adults with higher and lower cognitive performance scores. Data were analysed thematically and informed changes and additions to guiding principles, the behavioural analysis and the logic model which, in turn, informed changes to intervention content. RESULTS: Scoping reviews and qualitative interviews suggested that the same intervention content may be suitable for individuals with higher and lower cognitive performance. Qualitative findings revealed that maintaining independence and enjoyment motivated engagement in intervention-targeted behaviours, whereas managing ill health was a potential barrier. Social support for engaging in such activities could provide motivation, but was not desirable for all. These findings informed development of intervention content and functionality that appeared highly acceptable amongst a sample of target users. CONCLUSIONS: a digitally delivered intervention with minimal support appears acceptable and potentially engaging to older adults with higher and lower levels of cognitive performance. As well as informing our own intervention development, insights obtained through this process may be useful for others working with, and developing interventions for, older adults and/or those with cognitive impairment.

OBJECTIVES: to investigate the course of activities of daily living (IADL) functioning and possible predictors of performance changes in healthy older adults conducting either a General Cognitive Training (GCT) or a Reasoning Cognitive Training (ReaCT) or no training (control group, CG) over a period of 6 weeks, 3 months, and 6 months. SETTING AND PARTICIPANTS: an online, home-based GCT and ReaCT including n = 2913 healthy participants (GCT: n = 1096; ReaCT: n = 1022; CG: n = 794) aged 60 years and older. METHODS: Multilevel analysis were calculated to explore the nature of our outcome variables of IADL part a (independence) and part B (difficulty of tasks), and to detect possible predictors for participants' performance on IADL after CT. RESULTS: the random slopes models fitted better for the outcomes IADL Part B in the GCT group (χ2 (2) =  18.78, p 

Social isolation is likely to be recommended for older adults due to COVID-19, with ongoing reduced clinical contact suggested for this population. This has increased the need for remote memory clinics, we therefore review the literature, current practices and guidelines on organizing such remote memory clinics, focusing on assessment of cognition, function and other relevant measurements, proposing a novel pathway based on three levels of complexity: simple telephone or video-based interviews and testing using available tests (Level 1), digitized and validated methods based on standard pen-and-paper tests and scales (Level 2), and finally fully digitized cognitive batteries and remote measurement technologies (RMTs, Level 3). Pros and cons of these strategies are discussed. Remotely collected data negates the need for frail patients or carers to commute to clinic and offers valuable insights into progression over time, as well as treatment responses to therapeutic interventions, providing a more realistic and contextualized environment for data-collection. Notwithstanding several challenges related to internet access, computer skills, limited evidence base and regulatory and data protection issues, digital biomarkers collected remotely have significant potential for diagnosis and symptom management in older adults and we propose a framework and pathway for how technologies can be implemented to support remote memory clinics. These platforms are also well-placed for administration of digital cognitive training and other interventions. The individual, societal and public/private costs of COVID-19 are high and will continue to rise for some time but the challenges the pandemic has placed on memory services also provides an opportunity to embrace novel approaches. Remote memory clinics’ financial, logistical, clinical and practical benefits have been highlighted by COVID-19, supporting their use to not only be maintained when social distancing legislation is lifted but to be devoted extra resources and attention to fully potentiate this valuable arm of clinical assessment and care.

Objectives: to examine the bidirectional temporal relationship between depressive symptoms and cognition in relation to risk, reaction, and prodrome. Design: Cross-lag analysis of longitudinal data collected online at baseline and 12-month follow-up. Setting and Participants: a United Kingdom population cohort of 11,855 participants aged 50 years and over. Measures: Patient Health Questionnaire-9 (depressive symptoms), cognitive measures: Paired Associate Learning, Verbal Reasoning, Spatial Working Memory, and Digit Span. Results: Depressive symptoms predicted a decline in paired associates learning [β = −.020, P =. 013, (95% confidence interval [CI], ‒.036, −.004)] and verbal reasoning [β = −.014, P =. 016, (95% CI ‒.025, −.003)] but not vice versa. Depressive symptoms predicted [β = −.043, P <. 001, (95% CI ‒.060, −.026); β = −.029, P <. 001, (95% CI ‒.043, −.015)] and were predicted by [β = −.030, P = <. 001, (95% CI ‒.047, −.014); β = −.025, P =. 003, (95% CI ‒.041, −.009)], a decline in spatial working memory and verbal digit span, respectively. Conclusions and Implications: Depressive symptoms may be either a risk factor or prodrome for cognitive decline. In addition, a decline in attention predicts depressive symptoms. Clinical implications and implications for further research are discussed.

OBJECTIVE: the identification of modifiable lifestyle factors to preserve cognitive function in older individuals becomes increasingly of importance. This study examines whether word puzzle use is related to cognitive function in older adults. METHODS: Cognitive data from 19 078 cognitively healthy individuals aged 50 to 93 years enrolled into the online PROTECT study were evaluated for self-reported frequency of performing word puzzles on a six-point scale, ranging from "more than once per day" to "never". Nine cognitive tests covered a range of domains including focussed and sustained attention, information processing, executive function, working memory, and episodic memory. Analyses of covariance were used to determine any differences between the six response groups. RESULTS: Each of the 14 cognitive measures analysed showed highly statistically significant main effects of the frequency of performing word puzzles. For each measure, the group who never performed word puzzles performed most poorly, with the group who reported occasional puzzle use also performing more poorly than virtually every other group. Measures of speed provided the greatest discriminations, with a grammatical reasoning score differentiating the two highest frequency groups, performing word puzzles daily or more than once daily. CONCLUSIONS: the frequency of word puzzle use is directly related to cognitive function in adults aged 50 and over. Future work needs to determine whether engaging in such puzzles can favourably influence cognitive trajectory with age.

OBJECTIVES: Depressive disorder is commonly associated with impaired cognitive function; however, it is unclear whether the age of onset of the first episode of depression, current depression severity, or historical severity of depressive episodes are associated with cognitive performance. METHODS: This study examined baseline cross-sectional data from the ongoing online PROTECT study. A total of 7344 participants, 50 years or older, with a history of depression and no diagnosis of dementia were divided into three groups according to age of onset of their first depressive episode: early-onset, midlife-onset, and late-onset. Performance on measures of visuospatial episodic memory, executive function, verbal working, and visual working memory were evaluated. Demographic and clinical characteristics such as age, education, and severity of symptoms during their worst previous depressive episode and current depression severity were included in multivariate regression models. RESULTS: the late-onset depression group scored significantly lower on the verbal reasoning task than the early-onset group while there were no significant differences found on the other tasks. Midlife-onset depression participants performed better in the visual episodic memory task, but worse on the verbal reasoning task, than early-onset depression participants. Current depression severity was negatively correlated with all four cognitive domains, while historical severity score was found to be significantly associated with cognitive performance on the verbal reasoning and spatial working memory tasks. CONCLUSIONS: the most important indicator of cognitive performance in depression appears to be current, rather than historic depression severity; however, late-onset depression may be associated with more executive impairment than an early-onset depression.

There is a growing body of evidence from randomized controlled trials which indicates that consumption of berries has a positive effect upon the cognitive function of healthy adults. It has been recommended that studies combining cognitive and physiological measures be undertaken in order to strengthen the evidence base for the putative effects of flavonoid consumption on cognitive outcomes. This pilot study utilized a randomized, double-blind and placebo controlled crossover design to assess the influence of the acute administration of anthocyanin-rich blackcurrant juice, standardized at 500�
mg of polyphenols, on mood and attention. Additionally, this trial used electroencephalography (EEG) to assess if any changes in cognitive performance are associated with changes in localized prefrontal cortex neuronal activity in nine healthy young adults. Outcomes from the pilot EEG data highlight an anxiolytic effect of the consumption of a single serve blackcurrant juice, as indexed by a suppression of α spectral power, and an increase in the slow wave δ and θ spectral powers. There was also an indication of greater alertness and lower fatigue, as indexed by an increase in β power and suppression of α spectral power. Outcomes from the CogTrack™ system indicated a small acute increase in reaction times during the digit vigilance task.

OBJECTIVE: Establishing affordable lifestyle interventions that might preserve cognitive function in the aging population and subsequent generations is a growing area of research focus. Data from the PROTECT study has been utilised to examine whether number-puzzle use is related to cognitive function in older adults. METHODS: Data from 19 078 healthy volunteers aged 50 to 93 years old enrolled on the online PROTECT study were evaluated for self-reported frequency of performing number puzzles. Two cognitive-test batteries were employed to assess core aspects of cognitive function including reasoning, focussed and sustained attention, information processing, executive function, working memory, and episodic memory. Analysis of covariance was used to establish the differences between the six frequency groups. RESULTS: Highly statistically significant main effects of the frequency of performing number puzzles were seen on all 14 cognitive measures, with P values of less than 0.0004. Interestingly, participants who reported engaging in number puzzles more than once a day had superior cognitive performance on 10 core measures compared with all other frequency groups, although not all were statistically significant. CONCLUSIONS: This study has identified a close relationship between frequency of number-puzzle use and the quality of cognitive function in adults aged 50 to 93 years old. In order to determine the value of these findings as a potential intervention, further research should explore the type and difficulty of the number puzzles. These findings further contribute to the growing evidence that engaging in mentally stimulating activities could benefit the brain function of the ageing population.

Objective to evaluate for the first time the effects of a combination of sage, rosemary and melissa (Salvia officinalis L. Rosmarinus officinalis L. and Melissa officinalis L.; SRM), traditional European medicines, on verbal recall in normal healthy subjects. To devise a suitable study design for assessing the clinical efficacy of traditional herbal medicines for memory and brain function. Methods Forty-four normal healthy subjects (mean age 61 ± 9.26y SD; m/f 6/38) participated in this study. A double-blind, randomised, placebo-controlled pilot study was performed with subjects randomised into an active and placebo group. The study consisted of a single 2-week term ethanol extract of SRM that was chemically-characterised using high resolution LC-UV-MS/MS analysis. Immediate and delayed word recall were used to assess memory after taking SRM or placebo (ethanol extract of Myrrhis odorata (L.) Scop.). In addition analysis was performed with subjects divided into younger and older subgroups (≤ 62 years mean age n = 26: SRM n = 10, Placebo n = 16; ≥ 63 years n = 19: SRM n = 13, Placebo n = 6). Results Overall there were no significant differences between treatment and placebo change from baseline for immediate or delayed word recall. However subgroup analysis showed significant improvements to delayed word recall in the under 63 year age group (p < 0.0123) with Cohen's effect size d = 0.92. No adverse effects were observed. Conclusion This pilot study indicates that an oral preparation of SRM at the selected dose and for the period of administration is more effective than a placebo in supported verbal episodic memory in healthy subjects under 63 years of age. Short- and long- term supplementation with SRM extract merits more robust investigation as an adjunctive treatment for patients with Alzheimer's disease and in the general ageing population. The study design proved a simple cost effective trial protocol to test the efficacy of herbal medicines on verbal episodic memory, with future studies including broader cognitive assessment.

OBJECTIVE: Several potentially modifiable risk factors for cognitive decline and dementia have been identified, including low educational attainment, smoking, diabetes, physical inactivity, hypertension, midlife obesity, depression, and perceived social isolation. Managing these risk factors in late midlife and older age may help reduce the risk of dementia; however, it is unclear whether these factors also relate to cognitive performance in older individuals without dementia. METHOD: Data from 14 201 non-demented individuals aged >50 years who enrolled in the online PROTECT study were used to examine the relationship between cognitive function and known modifiable risk factors for dementia. Multivariate regression analyses were conducted on 4 cognitive outcomes assessing verbal and spatial working memory, visual episodic memory, and verbal reasoning. RESULTS: Increasing age was associated with reduced performance across all tasks. Higher educational achievement, the presence of a close confiding relationship, and moderate alcohol intake were associated with benefits across all 4 cognitive tasks, and exercise was associated with better performance on verbal reasoning and verbal working memory tasks. A diagnosis of depression was negatively associated with performance on visual episodic memory and working memory tasks, whereas being underweight negatively affected performance on all tasks apart from verbal working memory. A history of stroke was negatively associated with verbal reasoning and working memory performance. CONCLUSION: Known modifiable risk factors for dementia are associated with cognitive performance in non-demented individuals in late midlife and older age. This provides further support for public health interventions that seek to manage these risk factors across the lifespan.

The present study compared the cognitive and mood effects of two commercially available products, Red Bull energy drink 250 mL and Red Bull Sugarfree energy drink 250 mL, together with a matching placebo 250 mL. Twenty-four healthy young volunteers took part in a randomised, placebo controlled, double-blind, three-way cross-over study. Cognitive function was assessed using an integrated set of nine computerised tests of attention, working and episodic memory. On each study day the volunteers received a standardised breakfast prior to completing a baseline performance on cognitive tests and mood scales, followed by the consumption of the study drink. The cognitive tests and scales were then re-administered at 30, 60 and 90 min post-dose. Red Bull was found to produce significant improvements over both the Sugarfree version and the placebo drink on two composite scores from the six working and episodic memory tests; one combining the 12 accuracy measures from the six tasks and the other the average speed of correct responses from the working memory and episodic recognition memory tasks. These improvements were in the range of a medium effect size, which reflects a substantial enhancement to memory in young volunteers.

OBJECTIVE: the advent of long-term remotely conducted clinical trials requires assessments which can be administered online. This paper considers the utility, reliability, sensitivity and validity of an internet-based system for measuring changes in cognitive function which is being used in one such trial. METHODS: the Platform for Research Online to investigate Genetics and Cognition in Ageing is a 10-year longitudinal and entirely remote study launched in November 2015. The CogTrackTM System is being used to monitor changes in important aspects of cognitive function using tests of attention, information processing and episodic memory. On study entry, the participants performed CogTrackTM up to three times over seven days, and these data are evaluated in this paper. RESULTS: During the first six months of the study, 14 531 individuals aged 50 to 94 years enrolled and performed the CogTrackTM System, 8627 of whom completed three test sessions. On the first administration, 99.4% of the study tasks were successfully completed. Repeated testing showed training/familiarisation effects on four of the ten measures which had largely stabilised by the third test session. The factor structure of the various measures was found to be robust. Evaluation of the influence of age identified clinically relevant declines over the age range of the population on one or more measures from all tasks. CONCLUSIONS: the results of these analyses identify CogTrackTM to be a practical and valid method to reliably, sensitively, remotely and repeatedly collect cognitive data from large samples of individuals aged 50 and over. Copyright © 2017 John Wiley & Sons, Ltd.

BACKGROUND: While extensive literature on the role of the serotonin receptor 1A (5-HT1A-R) in cognition exists, the findings are largely from animal studies. There has been little research conducted into 5-HT1A-R genotypes and cognitive function in humans. This article evaluates the role of 5-HT1A-R genotypes on the profile of cognitive function in patients with major depressive disorder (MDD). METHODS: the study sample was 455 MDD patients aged between 18 and 55 years. They had enrolled into a clinical trial and were tested prior to dosing on the baseline study day using the CDR System, an integrated set of 3 attention tests, 2 working memory tests, and 4 episodic memory tests. 5-HT1A-R genotyping for (SNP ID rs6295) had been conducted during the study screening period. RESULTS: Validated factor scores were derived from the 9 tests. It was found that patients with the C/C genotype for the C(1019)G polymorphism of the 5-HT1A-R were significantly superior in retaining and retrieving information, in both working and episodic memory, than those with either the C/G or the G/G genotypes. No differences were found in measures of attention or in the speed of retrieval of information from memory. CONCLUSIONS: This is, to our knowledge, the first relationship found between objective tests of cognitive function and 5-HT1A-R genotypes in MDD.

OBJECTIVES: to explore the relationship between specific aspects of cognition, white matter hyperintensities (WMHs), and cardiovascular autonomic parameters in late-life depression (LLD). DESIGN: Cross-sectional analysis. SETTING: Secondary care psychiatry. PARTICIPANTS: Forty-one individuals older than 60 years, with current or previous history of major depression, and 32 age-matched comparison subjects. MEASUREMENTS: Cognition was assessed by a standardized computer battery of tasks (Cognitive Drug Research) that measured processing speed, attention, episodic memory, and working memory. Cardiovascular autonomic parameters were estimated by a noninvasive device that calculated blood pressure, heart rate variability, and baroreflex sensitivity (Task Force Monitor). Magnetic resonance imaging was performed on a 3-T magnetic resonance imaging system, and WMH volume was estimated using an automated validated method. RESULTS: As expected, cognitive deficits in all tested domains were present in LLD subjects compared with comparison subjects. In the LLD group, processing speed was correlated with scores on memory and working memory tasks. Attentional deficits were correlated with total and periventricular WMH volume, and episodic memory was associated with heart rate variability. There were no associations between cognitive variables and traditional vascular risk factors or between cognitive variables and any of these parameters in the comparison subjects. CONCLUSIONS: This study suggests that processing speed may be an important factor underlying deficits in LLD, but it also indicates that other factors, including those related to vascular disease, are important and thus provide further support for the vascular depression hypothesis. © 2012 American Association for Geriatric Psychiatry.