A Qualitative Study of Autistic Adults' Quality of Life During the COVID-19 Pandemic and Lockdowns.

Background: Autistic people experience higher rates of most mental health conditions and report more difficulties with change than nonautistic people. As such, the periods of national stay-at-home orders (known in the United Kingdom as a "lockdown") endured since the beginning of the COVID-19 (coronavirus disease 2019) pandemic in March 2020 may have been particularly challenging for autistic people. Aim: This study explored autistic adults' experience of quality of life and well-being during the start of the COVID-19 pandemic (specifically March to August 2020) using open-text responses from an online survey. Methods: In total, 79 autistic adults from the United Kingdom (aged 21-75 years) took part. Participants completed an online survey, including open-text questions on how various factors influencing quality of life, such as social interactions, general health, well-being, and sensory experiences, were impacted by the COVID-19 pandemic and the first set of national lockdowns that occurred between March and August 2020. Results: Thematic analysis created four key themes, each illustrated by several subthemes. These four themes explore (1) health, (2) social changes, (3) support provisions, and (4) adopting new routines. Many participants discussed the impact that the COVID-19 pandemic and the first set of national lockdowns had on their health and expressed concerns regarding the transition out of periods of lockdown, including readjusting to new rules, going back to in-person interactions, and reacclimatizing to high-stimulation sensory environments. However, several participants reported positive experiences of the periods of lockdown, such as reduced commuting, more control over sensory environments, and more time to pursue personal interests and self-care. Conclusions: These findings highlight the importance of giving autistic individuals the support they need to transition back to "normality" as COVID-19 becomes endemic.

Why is this an important issue?: The COVID-19 pandemic and national stay-at-home order (known in the United Kingdom as a "lockdown") led to severe disruption and change in people's lives throughout 2020 and early 2021. However, only a few studies have examined the impact of the lockdowns on autistic people's well-being. What was the purpose of this study?: The abrupt changes caused by the COVID-19 pandemic and lockdowns may have had a more detrimental impact on the lives of autistic people compared with others. This study aimed to explore the impact of the pandemic on the lives of autistic people and to provide context and descriptions of their experiences. What did the researchers do?: We asked autistic adults a range of open-response questions using an online survey in July/August 2020 to understand how they experienced the COVID-19 pandemic and periods of national lockdown. A total of 79 autistic adults from the United Kingdom took part. The questions asked about participants' health and general well-being, their social lives, and sensory differences before (retrospectively) and during the U.K. national lockdowns that occurred between March and August 2020. What were the results of the study?: Overall, most people felt that the pandemic had a negative impact on their lives. Many felt isolated and lonely due to lockdowns, and many expressed feelings of distress and anxiety at the prospect of returning to normality. However, several participants did report positive aspects of the periods of lockdown, such as having more time for personal interests and practicing self-care, and having to deal with less noise and sensory overload. What do these findings add to what was already known?: To date, much of the research about the impact of the COVID-19 pandemic and lockdowns on autistic peoples' lives has been quantitative (e.g., using scores on questionnaires). This study uses qualitative data (responses to open-ended questions). This study provides important contextualization of how the pandemic and lockdowns have impacted the lives of autistic people and highlights the need for additional support in the years after the pandemic. What are potential weaknesses in the study?: This study only includes autistic people, so we cannot be sure whether these experiences are unique to autistic people. Additionally, these findings may not be generalizable to the wider autistic population, including those who were unable to participate (e.g., those with learning difficulties). How will these findings help autistic adults now or in the future?: The COVID-19 pandemic and lockdowns are likely to have a long-lasting impact on well-being, which may disproportionately impact autistic people. As such, autistic people may need additional, tailored, support as COVID-19 becomes endemic (i.e., no longer a pandemic but part of everyday life, somewhat like seasonal flu). Additionally, lessons may be learned from the pandemic about how society could be adapted to become more inclusive.

Repetitive Behaviours in Autistic and Non-Autistic Adults: Associations with Sensory Sensitivity and Impact on Self-Efficacy.

PURPOSE: Restricted and repetitive behaviours are a core feature of autism diagnoses but have not been widely studied in adulthood. This study examined the rates of and associations between repetitive behaviours and sensory sensitivity in autistic and non-autistic adults; and whether repetitive behaviours described as "stimming" impacted coping with difficulties (self-efficacy). METHODS: Diagnosed autistic (n = 182), undiagnosed autistic (n = 163) and non-autistic (n = 146) adults completed online measures of repetitive behaviours, sensory sensitivity, and self-efficacy for when able and not able to stim. RESULTS: Repetitive behaviours and sensory sensitivity correlated significantly in each group, although ratings were higher in autistic compared to non-autistic groups. When people were able to stim, no differences between the groups were observed on self-efficacy ratings. However when unable to stim, autistic people reported lower self-efficacy than non-autistic people. CONCLUSIONS: Results suggest that repetitive behaviours are significantly associate with sensory sensitivities. Rather than repetitive behaviours being viewed as negative, stimming was associated with increased self-efficacy. Results suggest that stimming may have beneficial effects. Further work is needed to better understand how repetitive behaviours and stimming manifest in adulthood, how they change over time and their effects for autistic adults.

Self-reported Prospective and Retrospective Memory Among Middle Aged and Older Autistic and Non-autistic People.

OBJECTIVE: Self-reported memory difficulties are common among older adults, but few studies have examined memory problems among autistic middle-aged and older people. The current study examines self-rated prospective (PM) and retrospective (RM) memory difficulties and their associations with age in middle-aged and older autistic and non-autistic people. METHODS: 350 autistic people (58% assigned-female-at-birth; age-range: 40-83 years) and 350 non-autistic adults matched on age, birth-sex and education level were included in the analysis. Participants completed the Prospective and Retrospective Memory Questionnaire (PRMQ) which includes questions about PM vs. RM (memory type), environment-cued vs. self-cued (cue), and short vs. long delay (delay). RESULTS: Autistic people reported significantly more PM and RM difficulties than the comparison group. Both groups reported more difficulties with PM (vs. RM), self-cued (vs. environment-cued), and short (vs. long) delay. No significant interactions were observed. Among autistic people, younger age was associated with reporting more PM and RM difficulties, but this pattern was not observed among non-autistic people. CONCLUSIONS: Autistic people may be at reduced risk for memory problems as they age, compared to their same-age non-autistic peers. Further studies are required to explore the association between self-reported memory challenges and memory task performance among autistic older people.

Predictors of sleep quality for autistic people across adulthood.

Poor sleep can have a significant impact on physical health and well-being. Sleep problems are common among autistic children, but less is known about sleep across the autistic adult lifespan. Autistic adults (n = 730, aged 18-78 years) were recruited via Simons Powering Autism Research for Knowledge Research Match. Participants completed online surveys asking about demographics, health problems, social support, symptoms of anxiety and depression, and overall and specific aspects of sleep quality. Regression analyses explored the variables associated with sleep quality. Physical health, assigned female sex at birth and self-reported anxiety symptoms significantly contributed to models for all aspects of sleep. Perceived stress contributed to models of overall and subjective sleep quality, and daytime dysfunction. Depression symptoms did not contribute significantly to any of the models of sleep quality. However, utilizing government support mechanisms (such as social security) contributed to the model of sleep efficiency. Age contributed little to models of sleep quality, whereas perceived stress and psychotropic medication use contributed to some but not all aspects of sleep. Sleep quality is poor for autistic people across the adult lifespan. Given known impacts of poor sleep on health, cognition and quality of life, attention should be paid to sleep and its possible everyday effects for autistic people of all ages.

Social support and links to quality of life among middle-aged and older autistic adults.

LAY ABSTRACT: Social support can take many forms, such as practical help, time spent socially with others, or the satisfaction with personal relationships. Social support is known to affect quality of life (QoL) in both non-autistic older and autistic young adults. QoL reflects how satisfied an individual is with their life either overall or in a certain area. We know little about middle-aged and older autistic adults' experiences of social support or QoL. In this study, 388 adults aged 40-83 years old, completed online questionnaires asking about background such as age and sex, depression and anxiety symptoms, QoL (physical, psychological, social, environmental, and autism-specific), and different types of social support. Even after taking into account background, depression, and anxiety, social support was important for individuals' QoL. To our knowledge this is the first paper to examine the relationship between social support and QoL in middle-aged and older autistic adults. Improving social support may have a significant impact on the QoL of older autistic adults. Future studies should examine whether age-related changes in social support (size, content, and arrangement of social networks) that are common in non-autistic aging, also occur among older autistic adults.

Self-harm and Suicidality Experiences of Middle-Age and Older Adults With vs. Without High Autistic Traits.

Suicide has been identified as a leading cause of premature death in autistic populations. Elevated autistic traits have also been associated with higher rates of self-harm, suicidal ideation, and suicidal self-harm in the general population, but this has yet to be examined in older age. Using baseline cross-sectional data from the PROTECT study, middle-age and older adults with high autistic traits (n = 276) had significantly higher rates of suicidal ideation, deliberate self-harm, and suicidal self-harm than an age/sex-matched comparison group (n = 10,495). These differences represented a 5- to 6-fold increase in likelihood for self-harming and suicidality. These findings, which remained when controlling for depression symptoms, suggest that middle-age and older adults with high autistic traits may be particularly at risk of self-harm and suicidal behaviours.

The cognitive profile of middle-aged and older adults with high vs. low autistic traits.

Cognitive differences in memory, information processing speed (IPS), and executive functions (EF), are common in autistic and high autistic trait populations. Despite memory, IPS and EF being sensitive to age-related change, little is known about the cognitive profile of older adults with high autistic traits. This study explores cross-sectional memory, IPS and EF task performance in a large sample of older adults in the online PROTECT cohort (n = 22,285, aged 50-80 years), grouped by high vs. low autistic traits. Approximately 1% of PROTECT participants (n = 325) endorsed high autistic traits [henceforth Autism Spectrum Trait (AST) group]. Differences between AST and age-, gender-, and education-matched comparison older adults (COA; n = 11,744) were explored on memory, IPS and EF tasks and questionnaires administered online. AST had lower performance than COA on tasks measuring memory, working memory, sustained attention, and information processing. No group differences were observed in simple attention or verbal reasoning. A similar pattern of results was observed when controlling for age, and current depression and anxiety symptoms. In addition, AST self-reported more cognitive decline than COA, but this difference was not significant when controlling for current depression symptoms, or when using informant-report. These findings suggest that autistic traits are associated with cognitive function in middle-aged and later life. Older adults with high autistic traits experienced more performance difficulties in a range of memory, IPS and EF tasks compared with the low autistic traits comparison group. Further longitudinal work is needed to examine age-related change in both older autistic and autistic trait populations.

Self-reported cognitive decline among middle and older age autistic adults.

Very little is known about autistic adults as they age. Early evidence suggests a potentially high risk for dementia and atypical cognitive decline in autistic middle and older age adults. Research in the general population indicates that self-reported cognitive decline may predict future dementia earlier than performance-based measures. Nevertheless, self-report dementia screeners have not been used to date in autism research. In a sample of middle and older age autistic adults (N = 210), participants completed a self-rated dementia screener, the AD8, to describe the rate of cognitive decline, examine associations of cognitive decline with age, educational level, sex designated at birth, and autistic traits, and document the psychometrics of a dementia screener in autistic adults. We found high rates of cognitive decline with 30% of the sample screening positive. The most common symptoms were declining interest in leisure activities, and increases in everyday problems with thinking, memory, and judgment. There was evidence that autistic individuals designated female at birth may be more vulnerable to cognitive decline than autistic individuals designated male at birth. Notably, reports of cognitive decline did not vary by age or educational level. Modestly elevated autistic traits were found in those screening positive versus negative for cognitive decline. Finally, the dementia screener showed good psychometrics, including convergent validity with an independent measure of current memory problems. These results could signal an emerging public health crisis in autistic adults as they age, and support the potential utility of self-report measures for early screening for cognitive decline in this population.

Cardiovascular disease risk factors in autistic adults: The impact of sleep quality and antipsychotic medication use.

Approximately 40% of American adults are affected by cardiovascular disease (CVD) risk factors (e.g., high blood pressure, high cholesterol, diabetes, and overweight or obesity), and risk among autistic adults may be even higher. Mechanisms underlying the high prevalence of CVD risk factors in autistic people may include known correlates of CVD risk factors in other groups, including high levels of perceived stress, poor sleep quality, and antipsychotic medication use. A sample of 545 autistic adults without intellectual disability aged 18+ were recruited through the Simons Foundation Powering Autism Research, Research Match. Multiple linear regression models examined the association between key independent variables (self-reported perceived stress, sleep quality, and antipsychotic medication use) and CVD risk factors, controlling for demographic variables (age, sex assigned at birth, race, low-income status, autistic traits). Overall, 73.2% of autistic adults in our sample had an overweight/obesity classification, 45.3% had high cholesterol, 39.4% had high blood pressure, and 10.3% had diabetes. Older age, male sex assigned at birth, and poorer sleep quality were associated with a higher number of CVD risk factors. Using antipsychotic medications was associated with an increased likelihood of having diabetes. Poorer sleep quality was associated with an increased likelihood of having an overweight/obesity classification. Self-reported CVD risk factors are highly prevalent among autistic adults. Both improving sleep quality and closely monitoring CVD risk factors among autistic adults who use antipsychotic medications have the potential to reduce risk for CVD.

Traumatic life experiences and post-traumatic stress symptoms in middle-aged and older adults with and without autistic traits.

OBJECTIVES: Research with younger adults has begun to explore associations between autism/autistic traits and vulnerability to Post Traumatic Stress Disorder (PTSD). Large scale studies and/or examination of age-effects have not been conducted. METHODS: Adults aged 50 years+ from the PROTECT study (n = 20,220) completed items about current and childhood socio-communicative difficulties characteristic of autism. Approximately 1% (n = 251) endorsed high autistic traits, henceforth the Autism Spectrum Traits (AST) group. Differences between the AST and an age-and sex-matched "Comparison Older Adults" (COA; n = 9179) group were explored for lifetime traumatic experiences and current symptoms of PTSD, depression, and anxiety. RESULTS: Almost 30% of the AST group, compared to less than 8% of the COA, reported severe trauma in childhood/adulthood, including emotional, physical or sexual abuse. Elevated current PTSD symptoms were reported by AST compared to COA. An interaction was observed between autistic traits and trauma severity; the effect of level of trauma on PTSD symptoms was significantly greater for AST versus COA participants. This interaction remained significant when controlling for current depression and anxiety symptoms. CONCLUSIONS: The findings suggest that high autistic traits may increase the likelihood of experiencing trauma across the lifespan, and the impact of severe trauma on PTSD symptoms. Older adults with high (vs. low) autistic traits may be at greater risk of experiencing PTSD symptoms in latter life. Future research should test whether the pattern of results is similar for diagnosed autistic adults.

The Mental and Physical Health Profiles of Older Adults Who Endorse Elevated Autistic Traits.

OBJECTIVES: The mental and physical health profile of autistic people has been studied in adolescence and adulthood, with elevated rates of most conditions being reported. However, this has been little studied taking a dimensional approach to autistic traits and in older age. METHODS: A total of 20,220 adults aged 50-81 years from the PROTECT study reported whether they experienced persistent sociocommunicative traits characteristic of autism. Approximately 1%, 276 individuals, were identified as endorsing elevated autistic traits in childhood and currently, henceforth the "Autism Spectrum Trait" (AST) group. An age- and gender-matched comparison group was formed of 10,495 individuals who did not endorse any autistic behavioral traits, henceforth the "Control Older Adults" (COA) group. Differences between AST and COA groups were explored in self-reported psychiatric diagnoses, self-reported symptoms of current depression and anxiety, and self-reported physical health diagnoses. Associations were also examined between autistic traits and health across the whole sample. RESULTS: The AST group reported significantly elevated rates of psychiatric diagnoses compared to the COA group. Additionally, the AST group showed significantly higher self-reported symptoms of current depression and anxiety than the COA group. However, few differences were observed in individual physical health conditions, and no differences in total co-occurring physical diagnoses between groups. Similar associations between autistic traits and health were also found taking a dimensional approach across the whole sample. DISCUSSION: These findings suggest that older adults with elevated autistic traits may be at greater risk of poorer mental, but not physical, health in later life. Future studies should incorporate polygenic scores to elucidate the possible genetic links between the propensity to autism/high autistic traits and to psychiatric conditions, and to explore whether those with elevated autistic traits experience particular barriers to mental health care.

The Mental and Physical Health of Older Adults With a Genetic Predisposition for Autism.

Autism commonly aggregates in families, with twin studies estimating heritability to be around 80%. Subclinical autism-like characteristics have also been found at elevated rates in relatives of autistic probands. Physical and psychiatric conditions have been reported at elevated rates in autistic children and adults, and also in their relatives. However, to date, there has been no exploration of how aging may affect this pattern. This study examined cross-sectional data from the ongoing online PROTECT study. A total of 20,220 adults aged 50 years and older reported whether they have an autistic first-degree relative. In total, 739 older adults reported having an autistic first-degree relative (AFDR group) and 11,666 were identified as having no family history of any neurodevelopmental disorder (NFD group). The AFDR group demonstrated significantly higher frequencies of self-reported psychiatric diagnoses and a greater total number of co-occurring psychiatric diagnoses than the NFD group. Furthermore, the AFDR group reported elevated current self-report symptoms of depression, anxiety, traumatic experience, and post-traumatic stress than the NFD group. By contrast, few differences between AFDR and NFD groups were observed in physical health conditions, and no differences were observed in the total number of co-occurring physical health diagnoses. These findings suggest that adults who have an AFDR may be at greater risk of poor mental, but not physical, health in later life. Older adults with autistic relatives may benefit from close monitoring to mitigate this susceptibility and to provide timely intervention. Autism Res 2020, 13: 641-654. © 2020 The Authors. Autism Research published by International Society for Autism Research published by Wiley Periodicals, Inc. LAY SUMMARY: Children and adults with an autistic relative have been found to experience more psychiatric difficulties than those with no family links to autism. However, a few studies have explored what happens when these individuals get older. Examining over 20,000 adults age 50+, we found that older adults with an autistic relative experienced elevated rates of most psychiatric conditions but not physical conditions. Older adults with autistic relatives may benefit from close monitoring to mitigate this susceptibility and to provide timely intervention.

Theory of mind performance in younger and older adults with elevated autistic traits.

Little is known about the impact of aging with Autism Spectrum Disorder on theory of mind (ToM). While ToM difficulties appear to abate with age in older autistic populations, this has yet to be explored in the Broad Autism Phenotype (BAP). The current study examined ToM performance among younger (n = 49, aged 18-46) and older adults (n = 47, aged 60-91) who were classified as on the BAP (younger n = 18; older n = 21) or not (younger n = 31; older n = 26) using the BAP Questionnaire. ToM was assessed using the ecologically valid Strange Stories Film Task (SSFT) and the dynamic Happé-Frith Triangle Animations task (TA). A 2 × 2 analysis of variance examined the effects of autistic traits (BAP vs. non-BAP) and age (young vs. old). For both SSFT and TA, results showed autistic trait main effects on task performance (non-BAP > BAP). Age main effects were observed for some but not all metrics on TA (younger better than older), with no differences in SSFT. An interaction of autistic traits and age was observed in TA Intentionality, with younger non-BAP and younger BAP performing similarly but older non-BAP performing better than older BAP. Results show that younger and older adults with elevated autistic traits show poorer ToM performance. Despite ToM difficulties being common in later life in the general population, this effect was not observed when using a ToM task designed to reflect real-world scenarios. However, results suggest that autistic traits and age could interact to increase risk for poor ToM performance in older adults who endorse elevated autistic traits. Autism Res 2020, 13: 751-762. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: The behaviors and characteristics commonly found in autism spectrum disorders have been linked to differences in understanding social situations. Similar difficulties have also been found in older age. We assessed social understanding in younger and older adults from the general population. Both younger and older adults who report more autism-like characteristics experience more difficulties with social understanding. However, few differences were found between younger and older adults.

Predicting Dementia in Cerebral Small Vessel Disease Using an Automatic Diffusion Tensor Image Segmentation Technique.

Background and Purpose- Cerebral small vessel disease (SVD) is the most common cause of vascular cognitive impairment, with a significant proportion of cases going on to develop dementia. We explore the extent to which diffusion tensor image segmentation technique (DSEG; which characterizes microstructural damage across the cerebrum) predicts both degree of cognitive decline and conversion to dementia, and hence may provide a useful prognostic procedure. Methods- Ninety-nine SVD patients (aged 43-89 years) underwent annual magnetic resonance imaging scanning (for 3 years) and cognitive assessment (for 5 years). DSEG-θ was used as a whole-cerebrum measure of SVD severity. Dementia diagnosis was based Diagnostic and Statistical Manual of Mental Disorders V criteria. Cox regression identified which DSEG measures and vascular risk factors were related to increased risk of dementia. Linear discriminant analysis was used to classify groups of stable versus subsequent dementia diagnosis individuals. Results- DSEG-θ was significantly related to decline in executive function and global cognition (P<0.001). Eighteen (18.2%) patients converted to dementia. Baseline DSEG-θ predicted dementia with a balanced classification rate=75.95% and area under the receiver operating characteristic curve=0.839. The best classification model included baseline DSEG-θ, change in DSEG-θ, age, sex, and premorbid intelligence quotient (balanced classification rate of 79.65%; area under the receiver operating characteristic curve=0.903). Conclusions- DSEG is a fully automatic technique that provides an accurate method for assessing brain microstructural damage in SVD from a single imaging modality (diffusion tensor imaging). DSEG-θ is an important tool in identifying SVD patients at increased risk of developing dementia and has potential as a clinical marker of SVD severity.

The psychological wellbeing outcomes of nonpharmacological interventions for older persons with insomnia symptoms: A systematic review and meta-analysis.

Nonpharmacological treatment of insomnia in older persons has been associated with reduced insomnia symptoms and increased psychological wellbeing. This systematic review and meta-analysis examined whether nonpharmacological interventions can promote wellbeing indicators in older persons who experience insomnia symptoms and investigated the components of these interventions. Twenty studies met inclusion criteria. Psychological wellbeing outcomes included symptoms of depression, anxiety, mental health-related quality of life, and fatigue. Interventions significantly reduced depression and fatigue symptoms in most of the studies that included these outcomes. Findings of our qualitative analysis suggest that mindfulness-based interventions in particular can potentially reduce depression symptoms in older persons with insomnia symptoms. Meta-analyses of studies that included psychological wellbeing outcomes showed small-medium weighted mean effects indicating reductions in symptoms of depression, anxiety, and fatigue. The results suggest that nonpharmacological interventions for older persons with insomnia symptoms can potentially reduce depression and fatigue symptoms and highlight interventions that may be particularly valuable for this purpose.

Exploratory Study of Executive Function Abilities Across the Adult Lifespan in Individuals Receiving an ASD Diagnosis in Adulthood.

Little is known about cognition in autism spectrum disorder (ASD) across adulthood. We examined executive function abilities and autism traits in 134 adults receiving a first diagnosis of ASD. Participants aged 18-75 years with abilities in the normal range were assessed on executive function and self-report autism traits. Results suggest that for some abilities relying on speed and sequencing (Trails A and B; Digit Symbol), late-diagnosed individuals with ASD may demonstrate better performance than typical age-norms. On other executive measures (Digit Span, Hayling and Brixton tests) age-related correlations were similar to typical age-norms. Different domains of executive function may demonstrate different trajectories for ageing with ASD, with patterns of slower, accelerated or equivalent age-related change being observed across different measures.

Cognitive and affective associations with an ecologically valid test of theory of mind across the lifespan.

OBJECTIVES: Many studies have demonstrated that theory of mind (ToM) ability declines with increasing age. Research has found that ToM-age associations are often mediated by other cognitive abilities particularly executive function. However, older adults rarely complain about real-world ToM difficulties. It has been suggested that older adults may perform better in real-world situations compared with experimental settings. METHOD: We examined performance on the Strange Stories Film Task (SSFT) which has been designed to assess ToM using naturalistic, video scenarios. Sixty adults aged between 17- and 95-years-old completed the SSFT, inhibitory control (Stroop) and working memory (letter-number sequencing) measures, the basic empathy scale (cognitive and affective empathy), and the broad autism phenotype questionnaire. RESULTS: ToM performance correlated significantly with age, whereas performance on a control task did not. Partial correlations and stepwise regression analyses demonstrated that performance on the three SSFT ToM measures was explained by a combination of executive function and empathy measures, with age explaining none of the variance. CONCLUSIONS: Using a naturalistic test of ToM, performance was shown to decline with age for ToM but not control scenarios. Across the lifespan, the variance in ToM performance was explained by cognitive abilities and empathy but not age. Age alone may not influence ToM ability, but may be associated with age-related changes in cognition and social-cognition. (PsycINFO Database Record

The efficacy of transcranial random noise stimulation (tRNS) on mood may depend on individual differences including age and trait mood.

OBJECTIVES: To assess whether changes in brain microstructures associated with ageing and presence of cardiovascular risk factors (CVRF) reduce the efficacy of transcranial electrical stimulation (tES) improving mood in euthymic older adults. METHODS: Using excitatory high-frequency transcranial random noise stimulation (tRNS) over bilateral dorsolateral prefrontal cortex, the effect on mood was assessed in euthymic young adults (YA), older adults (HOA) and older adults with CVRF (OVR). Active-tRNS or sham was applied over two sessions. Positive and Negative Affect Schedule and Warwick Edinburgh Mental Well-being Scale measured self-reported state mood before and after stimulation. Trait mood was also measured using the Geriatric Depression Scale. RESULTS: Response to tRNS seemed dependent on individual differences in age and trait mood. In HOA, more negative trait mood was associated with more positive mood change after tRNS. OVR showed a similar but reduced pattern of mood change to HOA. In YA, more positive trait mood was associated with greater positive mood change after tRNS. CONCLUSIONS: Age and trait mood may be important factors when examining the efficacy of tES as an alternative treatment for depression. SIGNIFICANCE: Future studies should consider how response to tES is affected by individual differences.

Associations between pro-inflammatory cytokines, learning, and memory in late-life depression and healthy aging.

OBJECTIVES: Pro-inflammatory cytokines may play a role in learning and memory difficulties and may be exacerbated in late-life depression (LLD), where pro-inflammatory markers are already elevated because of aging and age-related vascular risk. METHODS: Learning and memory, and pro-inflammatory cytokines-Interleukin-1ß (IL-1ß), tumor necrosis factor-α (TNF-α), and Interleukin-6 (IL-6) were measured in 24 individuals with LLD and 34 healthy older adults (HOA). Hippocampal volumes were segmented using Freesurfer software. RESULTS: Pro-inflammatory cytokines were higher in LLD compared with HOA. Regression analyses demonstrated that educational level and right hippocampal volume significantly contributed to explaining the variance in learning. For memory performance, educational level, right hippocampal volume and a group-by-IL-6 interaction significantly contributed to the model. CONCLUSIONS: High levels of IL-6 impact cognition in LLD but not HOA. Results suggest that high levels of inflammation alone are not sufficient to account for cognitive difficulties, but may interact with other factors in at-risk populations like LLD, to contribute to memory difficulties. Copyright © 2017 John Wiley & Sons, Ltd.