White matter hyperintensities and within-person variability in community-dwelling adults aged 60–64 years

Estimates of white matter hyperintensities (WMH) derived from T2-weighted MRI were investigated in relation to cognitive performance in 469 healthy community-dwelling adults aged 60–64 years. Frontal lobe WMH but not WMH from other brain regions (temporal, parietal, and occipital lobes, anterior and posterior horn, periventricular body) were associated with elevated within-person reaction time (RT) variability (trial to trial fluctuations in RT performance) but not performance on several other cognitive tasks including psychomotor speed, memory, and global cognition. The findings are consistent with the view that elevated within-person variability is related to neurobiological disturbance, and that attentional mechanisms supported by the frontal cortex play a key role in this type of variability

Relationship between antihypertensive medications and cognitive impairment: Part I. review of human studies and clinical trials

Purpose of review: There is an established association between hypertension and increased risk of poor cognitive performance and dementia including Alzheimer’s disease; however, associations between antihypertensive medications (AHMs) and dementia risk are less consistent. An increased interest in AHM has resulted in expanding publications; however, none of the recent reviews are comprehensive. Our extensive review includes 15 observational and randomized controlled trials (RCTs) published over the last 5 years, assessing the relationship between AHM and cognitive impairment. Recent findings: All classes of AHM showed similar result patterns in human studies with the majority of study results reporting point estimates below one and only a small number of studies (N = 15) reporting statistically significant results in favor of a specific class. Summary: Only a small number of studies reported statistically significant results in favor of a specific class of AHM. Methodological limitations of the studies prevent definitive conclusions. Further work is now needed to evaluate the class of AHM and cognitive outcomes in future RCTs, with a particular focus on the drugs with the promising results in both animals and human observational studies

APOE genotype and entorhinal cortex volume in non-demented community-dwelling adults in midlife and early old age

Copyright © 2012 IOS PressThis article has been made available through the Brunel Open Access Publishing Fund.The apolipoprotein E (APOE) ε4 allele is a risk factor for the neuropathological decline accompanying Alzheimer's disease (AD) while, conversely, the ε2 allele offers protection. One of the brain structures exhibiting the earliest changes associated with the disease is the entorhinal cortex. We therefore investigated the volumes of the entorhinal cortex and other structures in the medial temporal lobe including the parahippocampal gyrus, temporal pole, and inferior, middle, and superior temporal cortices, in relation to APOE genotype. Our main objectives were to determine if (a) volumes systematically varied according to allele in a stepwise fashion, ε2 > ε3 > ε4, and (b) associations varied according to age. We investigate this association in 627 non-demented community-dwelling adults in middle age (44 to 48 years; n = 314) and older age (64 to 68 years; n = 313) who underwent structural MRI scans. We found no evidence of APOE-related variation in brain volumes in the age groups examined. We conclude that if a ε2 > ε3 > ε4 pattern in brain volumes does emerge in non-demented adults living in the community in old age, it is not until after the age of 68 years.This study was funded by the UK Leverhulme Trust, the British Academy, the NHMRC Research Fellowship No. 471501, the NHMRC Research Fellowship No.#1002560, the National Health and Medical Research Council of Australia Unit Grant No. 973302, Program Grant No. 179805, Project grant No. 157125; Program grant no. 350833, and the National Computational Infrastructure. This article is made available through the Brunel Open Access Publishing Fund

Cumulative risk, factor analysis, and latent class analysis of childhood adversity data in a nationally representative sample

Background: Childhood adversity is a multifaceted construct that is in need of comprehensive operationalisation. Objective: The aim of this study was to explore the optimal method to operationalise a scale of adverse childhood experiences (ACEs). Participants and setting: Data were from Wave 1 of the Personality and Total Health (PATH) Through Life Project (N = 7485, 51% women). Participants from three age groups (20–25, 40–45, 60–65) retrospectively reported their childhood experiences of domestic adversity on a 17-item scale (e.g., physical abuse, verbal abuse, neglect, poverty). Methods: We compared three approaches to operationalising the 17-item scale: a cumulative risk approach, factor analysis, and latent class analysis (LCA). The cumulative risk and dimensional models were represented by a unidimensional and two-dimensional model respectively using confirmatory factor analysis (CFA). Results: The cumulative risk approach and LCA were viable approaches to operationalising ACE data in PATH. CFA of the dimensional model produced latent factors of threat and deprivation that were highly correlated, potentially leading to problems with multicollinearity when estimating associations. LCA revealed six classes of ACEs: high adversity, low adversity, low affection, authoritarian upbringing, high parental dysfunction, and moderate parental dysfunction. Conclusion: Our study found multiple latent classes within a 17-item questionnaire assessing domestic adversity. Using both the cumulative method and latent class approach may be a more informative approach when examining the relationship between ACEs and later health outcomes. Future ACE studies may benefit by considering multi-dimensional approaches to operationalising adversity

Dietary patterns and depressive symptoms over time: examining the relationships with socioeconomic position, health behaviours and cardiovascular risk

Recent research suggests that diet quality influences depression risk; however, a lack of experimental evidence leaves open the possibility that residual confounding explains the observed relationships. The aim of this study was to document the cross-sectional and longitudinal associations between dietary patterns and symptoms of depression and to undertake a detailed examination of potential explanatory factors, particularly socioeconomic circumstances, in the diet-depression relationship

The protective effects of wellbeing and flourishing on long-term mental health risk

Objective: Personal wellbeing reflects individuals’ experiences of positive mental health and those with high wellbeing can be described as flourishing. Increasingly, wellbeing and flourishing are informing public health policy and clinical practice. However, the long-term benefit of wellbeing and flourishing on negative mental health outcomes over the life course is not widely explored. Method: Data were from the Personality and Total Health Through Life study, based in Canberra, Australia. Participants were recruited to three age cohorts (Early Adulthood n ​= ​991; Middle Adulthood n ​= ​1,510; Later Adulthood n ​= ​1,432). Wellbeing was operationalised by positive and negative affect, life satisfaction, morale, resilience and social support. Flourishing status was defined by those reporting the highest levels of wellbeing. Mental Health was operationalised by depression and anxiety symptoms, and any depressive disorder. A sub-set of early (n ​= ​439) and middle adulthood (n ​= ​1,275) participants completed the Composite International Diagnostic Interview (CIDI). Results: Associations between individual wellbeing indicators with mental health were mostly attenuated or of small magnitude in multivariate analyses, except for negative affect and low mastery which consistently reported substantial 4-year risk for all age cohorts. In contrast flourishing status reported consistently strong protection against poor mental health outcomes. Conclusion: Individual wellbeing indicators are not as strongly related to mental health outcomes as a higher-order latent wellbeing factor reflecting flourishing. However, multiple measures of wellbeing are needed to capture the gamut of wellbeing experiences and are related to improved mental health outcomes over the long-term and are generally consistent across adulthood

Is the Rise in Reported Dementia Mortality Real? Analysis of Multiple-Cause-of-Death Data for Australia and the United States

Official statistics in Australia and the United States show large recent increases in dementia mortality rates. In this study, we assessed whether these trends are biased by an increasing tendency of medical certifiers (predominantly physicians) to report on the death certificate that dementia was a direct cause of death. Regression models of multiple-cause-of-death data in Australia (2006-2016) and the United States (2006-2017) were constructed to adjust dementia mortality rates for changes in death certification practices. Compared with official statistics, the recent increase in adjusted age-standardized dementia death rates was less than half as large in Australia and about two-thirds as large in the United States. Further adjustment for changes in reporting of dementia anywhere on the death certificate implied even lower increases in dementia mortality. Declines in reporting of cardiovascular diseases as comorbid conditions also contributed to rises in dementia mortality rates. The increasing likelihood of dementia's being reported as directly leading to death largely explains recent increases in dementia mortality rates in both countries. However, studies have found that reported dementia on death certificates remains low compared with clinical evaluations of its prevalence. Improved guidance and training for certifiers in reporting of dementia on death certificates will help standardize mortality statistics within and between countries

Bridging the gap: Study protocol for development of an implementation strategy for evidence-informed reablement and rehabilitation for community-dwelling people with dementia

Background: Extensive research supports the use of goal-directed reablement and rehabilitation interventions to address a range of physical, functional, cognitive and behavioural needs of people living with dementia. Despite this, evidence-informed multidisciplinary reablement and rehabilitation interventions are not being offered in usual dementia care across Australia. An examination is needed of how best to implement reablement and rehabilitation interventions within the community-based dementia care sector. Methods: Drawing on implementation science, this study uses a four-phase mixed-methods retrospective and prospective approach: (1) clinical audit to evaluate current clinical practice, and through focus groups with practitioners, identify practitioner-led goals and targets for practice change; (2) Delphi survey to converge opinions from the diverse stakeholders involved in reablement in dementia, to reach national consensus around an implementation strategy; (3) hybrid pragmatic effectiveness-implementation pilot will facilitate testing of the implementation strategy in parallel with exploring effectiveness of the reablement intervention specifically within a real-world Australian community aged care context; (4) implementation capacity building. Discussion: This study will result in a freely available, nationally relevant implementation protocol, designed and tailored via input from key stakeholders over a series of iterative project activities. By testing this protocol via a pilot implementation-effectiveness study, we will generate national information about effectiveness of evidence-informed reablement programs for people living with dementia across various community aged care settings. Outcomes have potential to influence policy and drive widespread practice change, increasing access to evidence-informed reablement and rehabilitation for people living with dementia across Australia

Childhood adversity is associated with anxiety and depression in older adults: A cumulative risk and latent class analysis

Background: The long-lasting influence of childhood adversity on mental health is well documented; however empirical research examining how this association extends into older adults is limited. This study operationalises adversity using cumulative risk and latent class analysis (LCA) models to assess how adversity exposure and typologies may predict anxiety and depression in older adults. Methods: Data came from the Personality and Total Health (PATH) Through Life Project (N = 2551, age 60–66). Participants retrospectively reported their childhood experiences of domestic adversity on a 17-item scale. Mental health was measured using four validated questionnaires of depression and anxiety. Results: Linear and generalised additive models (GAM) indicated a dose-response relationship, where a greater number of cumulative adversities were associated with poorer scores on all four mental health measures. LCA identified a four-class solution; with high adversity and high parental dysfunction being associated with poorer mental health outcomes while moderate parental dysfunction and low adversity groups scored at healthy levels. Women reported higher overall anxiety than men, but no notable interactions between ACEs and gender were observed. Patterns revealed by LCA were similar to patterns shown by the cumulative risk model. Limitations: There is a large time gap from childhood to assessment, making our study susceptible to recall bias. Also, our findings were based on cross-sectional data, limiting causal inferences. Conclusion: Childhood adversity had independent and additive contributions to depression and anxiety in older adulthood, and both cumulative risk and person-centred approaches captured this relationship

Sex and gender differences in risk scores for dementia and Alzheimer's disease among cisgender, transgender, and non-binary adults

INTRODUCTION: Few studies have explored dementia risk according to sex and gender including for transgender and non-binary adults. This study evaluated dementia risk factors and risk scores among cisgender, transgender, and non-binary adults. METHODS: Observational data were drawn from the 2019 Behavioral Risk Factor Surveillance System. A matched-cohort approach was used to develop sex (male, female) and gender identity cohorts (cisgender men, cisgender women, transgender men, transgender women, and non-binary adults) for comparison. Dementia risk scores were calculated using established mid-life and late-life risk score algorithms. RESULTS: Males had higher overall mid-life dementia risk, and lower late-life Alzheimer's disease risk compared to females. Transgender men, transgender women, and non-binary adults had higher overall late-life risk compared to both cisgender men and women. DISCUSSION: Future research is needed to build the evidence base for specific risk factors that may be contributing to higher overall risk among understudied and underserved gender groups. Highlights: Using data from the 2019 Behavioral Risk Factor Surveillance System, this matched-cohort study found that those assigned female at birth had lower overall mid-life dementia risk and higher overall late-life Alzheimer's disease (AD) risk compared to those assigned male at birth. Transgender men, transgender women, and non-binary adults all showed higher overall late-life AD risk compared to cisgender men and cisgender women. Between-group differences were found in the incidence of specific risk and protective factors for dementia and AD