Proxy Measure Research Articles

A MODEL ACCESSORY-DWELLING UNIT BYLAW: INCLUSIVE ZONING FOR ALL

Abstract Adapting the built-environment to include an accessory-dwelling unit (ADU) is one alternative housing solution for older adults to remain in their home and community, avoid institutionalization, and create age-friendly environments. ADUs are one form of the built-environment in which the field of public health law can intervene to improve population aging. A legal mapping analysis was conducted using the ADU Friendliness Score to assess ADU accessibility across the target population (n = 351 Massachusetts municipalities). Municipalities were stratified into four ordinal classifications according to their ranking on the 0-100 ADU Friendliness Score and served as the dependent variable: 0-24 POOR (89 municipalities, 25%); 25-49 FAIR (30 municipalities, 8.5%); 50-74 GOOD (185 municipalities, 53%); and 75-100 EXCELLENT (47 municipalities, 13.5%). Community demographics and social capital proxy measures were used as independent variables to test for the association between aggregate social capital and the dependent variable. A regression analysis demonstrated housing density and educational attainment as statistically significant predictors of ADU score. Findings informed the first model age-friendly ADU bylaw inclusive for older adults, persons with disability, and their caregivers. Reform of zoning laws can help create age-friendly environments. The model bylaw is available for municipals to adopt and can be modified in response to municipal needs.

EXTREME HEAT VULNERABILITY AMONG OLDER ADULTS: A MULTILEVEL RISK INDEX FOR PORTLAND, OREGON

Abstract Extreme heat is an environmental health equity concern disproportionately impacting low- income older adults and people of color. Exposure factors, such as living in rental housing and lack of air conditioning, and sensitivity factors, such as chronic disease and social isolation, increase mortality risk among older adults. Older persons face multiple barriers to adaptive heat mitigation, particularly for those living in historically temperate climates. This study measures two heat vulnerability indices to identify areas and individuals most vulnerable to extreme heat and discusses opportunities to mitigate vulnerability among older adults. We constructed two heat vulnerability indices for the Portland, Oregon metropolitan area: one using area scale proxy measures extracted from existing regional data and another at the individual scale using survey data collected following the 2021 Pacific Northwest Heat Dome event. These indices were analyzed using principal component analysis (PCA) and Geographic Information Systems (GIS). Results indicate that the spatial distribution of areas and individuals vulnerable to extreme heat are quite different. The only area found among the most vulnerable on both indices has the largest agglomeration of age- and income-restricted rental housing in the metropolitan area. Due to spatial variations in heat-related risk at the individual and area scales, measures addressing heat risk should not be spatially uniform. By focusing resources on older adult individuals and areas in particular need of assistance, heat risk management policies can be both highly efficient and cost-effective.

PHYSIOLOGICAL LINKAGE WITH CAREGIVERS IS ASSOCIATED WITH EMOTION RECOGNITION IN CARE RECIPIENTS

Abstract Persons with neurodegenerative diseases (PWDs) often develop profound declines in the ability to recognize emotions in others that lead to diminished social connectedness with their loved ones. Physiological linkage, which refers to the degree that people’s physiological responses change in coordinated ways, can serve as a proxy measure for social connectedness. Physiological linkage has been found to be diminished during interactions between PWDs (i.e., care recipients) and their family caregivers. However, the association between diminished physiological linkage and PWDs’ lower emotion recognition has not been determined. In a sample of 28 PWD-family caregiver dyads, we quantified physiological linkage as the positive (“in-phase”) correlations between PWD’s and caregiver’s somatic activity. Somatic activity was measured remotely via actigraphy using wristwatches worn by both partners in their homes during waking hours for 7 days. PWDs’ emotion recognition was quantified as the ability to recognize positive and negative emotions of their caregivers accurately during a 10-minute conflict conversation in our laboratory prior to the 7-day home assessment. Lower emotion recognition by PWDs of their caregivers’ negative emotions (β = .49, p = .01), but not positive emotions (β = .12, p = .52) in the laboratory assessment was associated with lower physiological linkage between PWDs and caregivers in their home. Establishing a relationship between PWDs’ deficits in emotion recognition and diminished physiological linkage during conversations with their caregivers provides a basis for understanding problems in establishing social connections that are often observed in PWDs.

A Simple Approach to Modeling Light Attenuation in the Sacramento–San Joaquin Delta Using Commonly Available Data

The diffuse attenuation coefficient of photosynthetically active radiation (KdPAR) is commonly used to predict light attenuation in aquatic productivity models, but obtaining measurements of PAR to compute KdPAR is difficult. In situ calculations of KdPAR require multiple measurements of PAR through the water column, and these measurements are infeasible for real-time recording. Instead, predictive models using surface-water measurements may be used. Traditional KdPAR models are based on open-ocean habitats and rely on chlorophyll—as a proxy measurement for phytoplankton abundance—as the main predictive parameter. However, elevated suspended sediments and dissolved organic materials may also affect KdPAR values of inland water bodies and estuaries. In this study, we leverage KdPAR calculations derived from in situ light measurements collected along with surface-water-quality parameters across the Sacramento-San Joaquin River Delta in California, USA (the Delta). Sampling occurred between January of 2013 and May of 2014. We also explored regional and seasonal effects, but these did not clearly affect the model. Ultimately, the best-performing model included surface-level turbidity only (R2 = 0.91). The simplicity of the model facilitates use of KdPAR estimates for a variety of purposes throughout the Delta, including euphotic depth calculations, and as inputs to primary-productivity and habitat-suitability models. We demonstrate the model’s usability with two open-sources data sets (one spatially dense, and one temporally dense), and estimate KdPAR, euphotic depth, and primary productivity within the Delta. We provide calculations for each estimation, allowing users to easily adopt these models and apply them to their own data or with open-sourced data, which are abundant.

Big Data, Proxies, Algorithmic Decision‐Making and the Future of Management Theory

AbstractThe future of theory in the age of big data and algorithms is a frequent topic in management research. However, with corporate ownership of big data and data processing capabilities designed for profit generation increasing rapidly, we witness a shift from scientific to ‘corporate empiricism’. Building on this debate, our ‘Point’ essay argues that theorizing in management research is at risk now. Unlike the ‘Counterpoint’ article, which portrays a bright future for management theory given available technological opportunities, we are concerned about management researchers increasingly ‘borrowing’ data from the corporate realm (e.g., Google et al.) to build or test theory. Our objection is that this data borrowing can harm scientific theorizing due to how scaling effects, proxy measures and algorithmic decision‐making performatively combine to undermine the scientific validity of theories. This undermining occurs through reducing scientific explanations, while technology shapes theory and reality in a profit‐predicting rather than in a truth‐seeking manner. Our essay has meta‐theoretical implications for management theory per se, as well as for political debates concerning the jurisdiction and legitimacy of knowledge claims in management research. Practically, these implications connect to debates on scientific responsibilities of researchers.

Global indicators of progress on climate change education: Non-state actor data collaboration for SDG 4

Despite their limitations as proxy measures, indicators can serve as leverage points in encouraging policy change. Facing the global urgency of climate change and increasingly recognizing the role of education in providing the social and political impetus for climate action, indicators on climate change education can help. However, despite the encompassing of climate change education in several Sustainable Development Goal (SDG) targets, the associated global indicators currently rely on country self-reported and otherwise inadequate data. This paper describes a collaborative process of developing publicly available third-party data sources to support more robust indicators of climate change education, including in relation to the SDGs.

Minimum meal frequency practice and associated factors among children aged 6–23 months old in The Gambia: a multilevel mixed effect analysis

A proxy measure for a child's energy needs, minimum meal frequency (MMF) looks at how often children were fed things other than breast milk. Infants and young children who do not consume enough food frequently are more likely to suffer from malnutrition, which can lead to increased morbidity and mortality as well as stunting and micronutrient deficiencies. There is no MMF recommended by studies in The Gambia. Hence, the purpose of this study was to evaluate the practice of MMF and the factors that influence it in children aged 6–23 months in The Gambia. Data from The Gambian Demographic and Health Survey (GDHS-2019/20) were used to identify factors affecting the MMF at individual and community levels. A multi-level regression model and weighted samples of 2100 children were employed for the investigation. After being examined by a p-value of < 0.25 in the binary regression, factors with a p-value of < 0.05 were judged statistically significant. This study found that about 57.95% had provided MMF. Primary and secondary educated mothers (aOR = 1.44, CI 1.11, 1.87), and (aOR = 1.43, CI 1.09, 1.86), wealthiest (aOR = 1.76, CI 1.04, 2.99), 35–49 years old mothers (aOR = 1.35, CI 1.01, 1.79), female household head (aOR = 0.72, CI 0.53, 0.98), breastfeeding status(aOR = 0.10, CI 0.07, 0.15), currently working (aOR = 1.27, CI 1.04, 1.56), 12–17 months child (aOR = 1.40, CI 1.13, 1.73), 18–23 months child (aOR = 1.44, CI 1.08, 1.91) have shown association with MMF. Regarding regions Mansakonko, Kerewan, Kuntaur, and Janjanbureh local government areas have shown (aOR = 3.51, CI 1.77, 6.97), (aOR = 5.17, CI 2.67, 9.99), (aOR = 2.26, CI 1.14, 4.47), and (aOR = 2.35, CI 1.19, 4.64) as compared to Banjul local government area. Comparing MMF in The Gambia to WHO standards, it must be considered low. Encouragement of women and coordinated enhancement of the current nutritional intervention are therefore effective in boosting children's consumption of a variety of foods.

Response of anchor investors to pre-IPO earnings management: evidence from an emerging market

PurposeThis study aims to examine the reaction of anchor investors (AIs) to pre-IPO earnings management (EM). The authors use the unique detailed bid data from the Indian anchor experiment. The authors also study the reputed AIs’ EM detection ability and pricing behavior in response to pre-IPO EM.Design/methodology/approachThe authors use unique AI bid data for 169 Indian IPO firms. Utilizing the logistic regression and Tobit regression models with industry and year-fixed effects, the authors examine the relationship between various measures of AI participation and proxies of short-term and long-term discretionary accruals.FindingsThe authors document that pre-IPO EM is positively associated with the likelihood of anchor backing but negatively related to the likelihood of reputed anchor backing. The findings indicate that AIs are misled by pre-IPO EM, but reputed AIs are not. The authors also observe that reputed AIs, compared to the non-reputed, pay less than the upper band with increasing EM. The findings are robust to using various AI measures and EM proxies.Practical implicationsThe findings have significant implications for regulators in the implementation of AI concept in non-anchor markets and better implementation of policies in existing anchor settings. Findings can also be relevant for non-institutional investors in the IPO domain.Originality/valueThis is one of the few studies on institutional investors' IPO bidding behavior in response to pre-IPO EM. However, this is the first study to analyze AIs' IPO bidding behavior in response to pre-IPO EM.

Calming effects of repetition in music for children with sensory sensitivities: Findings from two experimental studies

Sensory sensitivity and anxiety are often experienced by neurodivergent children. Repetitive physical actions are a common way to self-regulate and reduce anxiety, yet stigma attached to these actions can discourage people with sensory sensitivities from participating in public events such as concerts. Children with sensory sensitivities therefore often miss out on the social benefits of attending live concerts. This paper reports the results of two studies (for each N = 20) investigating whether the predictability/level of internal repetition in classical music can be calming for Australian children aged 5–14 with sensory sensitivities. Study 1 utilized a one-on-one laboratory setting with live piano performance (two low repetition pieces, two high repetition pieces), whereas Study 2 used a group performance setting with a live cello performance (one low repetition piece, one high repetition piece). Proxy measures of anxiety and engagement were completed by parents/carers in both studies, and facial expressions and finger oximeter measures were also captured in Study 1. Across the two studies both music types had a calming effect compared to baseline, with Study 2 also indicating significantly higher interest, involvement, and enjoyment levels for high repetition music. These findings have implications for the use of music for children with sensory sensitivities in arts programming and therapeutic contexts.

Retrospective analysis of the impact of electronic medical record alerts on low value care in a pediatric hospital.

Hospital costs continue to rise unsustainably. Up to 20% of care is wasteful including low value care (LVC). This study aimed to understand whether electronic medical record (EMR) alerts are effective at reducing pediatric LVC and measure the impact on hospital costs. Using EMR data over a 76-month period, we evaluated changes in 4 LVC practices following the implementation of EMR alerts, using time series analysis to control for underlying time-based trends, in a large pediatric hospital in Australia. The main outcome measure was the change in rate of each LVC practice. Balancing measures included the rate of alert adherence as a proxy measure for risk of alert fatigue. Hospital costs were calculated by the volume of LVC avoided multiplied by the unit costs. Costs of the intervention were calculated from clinician and analyst time required. All 4 LVC practices showed a statistically significant reduction following alert implementation. Two LVC practices (blood tests) showed an abrupt change, associated with high rates of alert adherence. The other 2 LVC practices (bronchodilator use in bronchiolitis and electrocardiogram ordering for sleeping bradycardia) showed an accelerated rate of improvement compared to baseline trends with lower rates of alert adherence. Hospital savings were $325 to $180 000 per alert. EMR alerts are effective in reducing pediatric LVC practices and offer a cost-saving opportunity to the hospital. Further efforts to leverage EMR alerts in pediatric settings to reduce LVC are likely to support future sustainable healthcare delivery.

Can a mock medication-taking learning activity enable pharmacy students to experience the range of barriers and facilitators to medication adherence? An analysis informed by the Theoretical Domains Framework and COM-B model

BackgroundPharmacy professionals are well-placed to provide medication adherence support to patients. The Capability, Opportunity, Motivation-Behaviour (COMB) and Theoretical Domains Framework (TDF) are two complementary models previously applied to medication-taking behaviour. Understanding the patient-specific barriers and facilitators to adherence using psychological frameworks from the early stages of pharmacy education enables the design and delivery of effective interventions. ObjectivesTo examine whether a novel ‘mock medicine’ learning activity enabled students to experience the range of barriers and facilitators to medication adherence using the COM-B and TDF. MethodsA mock medicine activity was conducted with students at pharmacy schools in three universities in the UK, Norway, and Australia over one week. Percentage adherence was calculated for five dosing regimens; theoretical framework analysis was applied to map reflective statements from student logs to COM-B and TDF. ResultsA total of 349 students (52.6%) returned completed logs, with high overall mean adherence (83.5%, range 0–100%). Analysis of the 277 (79.4%) students who provided reflective statements included barriers and facilitators that mapped onto one (9%), two (29%) or all three (62%) of the COM-B components and all fourteen TDF domains (overall mean = 4.04; Uni 1 = 3.72; Uni 2 = 4.50; Uni 3 = 4.38; range 1–8). Most frequently mapped domains were ‘Environmental context and resources’ (n = 199; 72%), ‘Skills’ (n = 186; 67%), ‘Memory, attention and decision-making’ (184; 66%) and ‘Beliefs about capabilities’ (n = 175; 63%). ConclusionsThis is the first study to utilise both COM-B and TDF to analyse a proxy measure of medication adherence in pharmacy education. Data mapping demonstrated that students experienced similar issues to patients when prescribed a short course of medication. Importantly, all the factors influencing medication-taking reported by students were captured by these two psychological frameworks. Future educational strategies will involve students in the mapping exercise to gain hands-on experience of using these psychological constructs in practice.

Copper Safeguards Dissolved Organic Matter from Sunlight-Driven Photooxidation.

Sunlight plays a crucial role in the transformation of dissolved organic matter (DOM) and the associated carbon cycle in aquatic environments. This study demonstrates that the presence of nanomolar concentrations of copper (Cu) significantly decreases the rate of photobleaching and the rate of loss of electron-donating moieties of three selected types of DOM (including both terrestrial and microbially derived DOM) under simulated sunlight irradiation. Employing Fourier transform ion cyclotron resonance mass spectrometry, we further confirm that Cu selectively inhibits the photooxidation of lignin- and tannin-like phenolic moieties present within the DOM, in agreement with the reported inhibitory impact of Cu on the photooxidation of phenolic compounds. On the basis of the inhibitory impact of Cu on the DOM photobleaching rate, we calculate the contribution of phenolic moieties to DOM photobleaching to be at least 29-55% in the wavelength range of 220-460 nm. The inhibition of loss of electrons from DOM during irradiation in the presence of Cu is also explained quantitatively by developing a mathematical model describing hydrogen peroxide (a proxy measure of loss of electrons from DOM) formation on DOM irradiation in the absence and presence of Cu. Overall, this study advances our understanding of DOM transformation in natural sunlit waters.

Evaluating metrics for quantifying the climate-change effects of land-based carbon fluxes

PurposeGrowing concern over climate change has increased interest in making use of the biosphere to reduce net greenhouse gas emissions by replacing fossil energy with bioenergy or increasing land-based carbon storage. An assessment of the effectiveness of these options requires detailed quantification of their climate-change mitigation potential, which must employ appropriate metrics to translate biophysical changes into climate-change impacts. However, the various currently available metrics use different proxy measures (e.g. radiative forcing, temperature changes, or others) as surrogates for climate-change impacts. Use of these different proxies can lead to contradictory conclusions on the most suitable policy options. We aim to provide criteria for the objective evaluation of metrics to build understanding of the significance of choice of metric and as a step towards building consensus on the most appropriate metric to use in different contexts.MethodsWe compared fifteen available metrics that represent conceptual differences in the treatment of biospheric carbon fluxes and the proxies used to approximate climate-change impacts. We proposed a set of evaluation criteria related to the metrics’ relevance, comprehensiveness, ease of application and acceptance by the research and policy community. We then compared the different metrics against these criteria.Results and conclusionsThe different metrics obtained scores from 10 to 21 (out of 30). The Climate-Change Impact Potential scored highest against the criteria, largely because it relates climate-change impacts to three different aspects of temperature changes; thus, it most comprehensively covers the different aspects of climate-change impacts. Therefore, according to our evaluation criteria, it would be the most suitable metric for assessing the effect of different policy options on marginal climate-change impacts. We demonstrated that the proposed evaluation criteria successfully differentiated between the fifteen metrics and could be used as a basis for selecting the most appropriate metric for specific applications.

Optimised Multi-Channel Transcranial Direct Current Stimulation (MtDCS) Reveals Differential Involvement of the Right-Ventrolateral Prefrontal Cortex (rVLPFC) and Insular Complex in those Predisposed to Aberrant Experiences

Research has shown a prominent role for cortical hyperexcitability underlying aberrant perceptions, hallucinations, and distortions in human conscious experience – even in neurotypical groups. The rVLPFC has been identified as an important structure in mediating cognitive affective states / feeling conscious states. The current study examined the involvement of the rVLPFC in mediating cognitive affective states in those predisposed to aberrant experiences in the neurotypical population. Participants completed two trait-based measures: (i) the Cortical Hyperexcitability Index_II (CHi_II, a proxy measure of cortical hyperexcitability) and (ii) two factors from the Cambridge Depersonalisation Scale (CDS). An optimised 7-channel MtDCS montage for stimulation conditions (Anodal, Cathodal and Sham) was created targeting the rVLPFC in a single-blind study. At the end of each stimulation session, participants completed a body-threat task (BTAB) while skin conductance responses (SCRs) and psychological responses were recorded. Participants with signs of increasing cortical hyperexcitability showed significant suppression of SCRs in the Cathodal stimulation relative to the Anodal and sSham conditions. Those high on the trait-based measures of depersonalisation-like experiences failed to show reliable effects. Collectively, the findings suggest that baseline brain states can mediate the effects of neurostimulation which would be missed via sample level averaging and without appropriate measures for stratifying individual differences.

Blood‐derived mitochondrial DNA copy number is associated with Alzheimer’s Disease through the regulation of plasma lipid and amino acid metabolism

AbstractBackgroundBlood‐derived mitochondrial DNA copy number (mtDNA‐CN) is the proxy measurement of mitochondrial function in the peripheral and central systems. Abnormal mtDNA‐CN not only indicates impaired mtDNA replication and transcription machinery but also dysregulated biological processes such as energy and lipid metabolism. However, the relationship between mtDNA‐CN and Alzheimer’s Disease (AD) and the underlying mechanisms of mitochondrial dysfunction in the pathogenesis of AD are still unclear.MethodTo investigate the causal relationship between mtDNA‐CN and AD, we performed two‐sample Mendelian randomization (MR) using publicly available summary statistics from GWAS for mtDNA‐CN and AD. Further, we estimated mtDNA‐CN using whole‐genome sequence data from blood samples of 1,521 ADNI participants and used a Cox proportional hazard model, adjusted for age, sex, and study phase, to assess the association between mtDNA‐CN and AD risk. The association of AD biomarkers measured in brain and plasma metabolites with mtDNA‐CN was evaluated using linear regression. We conducted causal mediation analysis to test the natural indirect effects of mtDNA‐CN change on AD risk through the significantly associated biomarkers and metabolites.ResultMR analysis using a profile likelihood approach suggested a causal relationship between decreased blood‐derived mtDNA‐CN and increased risk of AD (OR = 0.71; P = 0.023). Survival analysis showed that decreased mtDNA‐CN was significantly associated with increased risk of conversion from mild cognitive impairment to AD (HR = 0.80; P = 0.0017). We also identified significant associations between mtDNA‐CN and brain glucose metabolism (β = 0.050; P = 0.047) and amyloid‐β (Aβ) (β = 0.069; P = 0.015) and CSF Aβ (β = ‐0.051; P = 0.048). Plasma Aβ was, however, not associated. Several lipid species, amino acids, biogenic amines, and inflammatory proteins in plasma were also significantly associated with mtDNA‐CN. Finally, causal mediation analyses showed that the effect of change in mtDNA‐CN on AD risk is mediated by plasma neurofilament light (β = ‐0.055; P = 0.010), glycine (β = 0.016; P = 0.044), and hexadecenoylcarnitine (β = ‐0.017; P = 0.049).ConclusionOur study indicates that mtDNA‐CN measured in blood is predictive of AD risk. Associations of mtDNA‐CN with Aβ in CSF and brain, but not plasma, suggest cross‐tissue regulation of mitochondria. Decreased mtDNA‐CN might increase AD risk through lipid and amino acid metabolism. These results also suggest potential development of mtDNA‐CN as a blood‐based biomarker.

The association between microstructural MRI biomarkers and sequential amyloid and tau‐related cortical changes in asymptomatic elderly individuals

AbstractBackgroundIn Alzheimer’s disease, early amyloid‐β and tau deposition may have differential downstream effects on synaptic function and neuronal loss in a stage‐dependent manner. Amyloid‐related synaptic changes are thought to precede tau accumulation, which starts in the medial temporal lobe before propagating and leading to neurodegeneration. We explored whether microstructural MRI measures can detect these different sequential cortical changes.MethodSeventy‐nine healthy, asymptomatic individuals, recruited from the Insight 46 study of the British 1946 birth cohort underwent combined PET/MR with [18F]florbetapir Aβ‐PET at ∼73yrs, and [18F]MK‐6240 tau‐PET at ∼76yrs. Standard uptake value ratios were calculated using a whole cerebellar reference for florbetapir and an inferior cerebellar reference for MK‐6240. Multi‐shell diffusion MRI was acquired; neurite orientation dispersion and density imaging was used to quantify neurite density (NDI) and orientation dispersion (ODI, a proxy measure of dendritic morphology/complexity), with DTI measuring mean diffusivity (MD), a less specific measure of degenerative change. PET and microstructural MRI biomarkers were assessed in a neocortical composite ROI and across Braak stages.ResultThirty‐six participants were amyloid positive, 18 of whom were tau positive (eight Braak stage 1‐2, four Braak 3‐4, six Braak 5‐6). Across all participants, in the neocortical composite, significant differences between amyloid positive and amyloid negative individuals were found in both tau PET (p = 0.0092) and ODI (p = 0.030) but not for other measures. Within the amyloid positive group, in the cortical composite, significant differences in MD (p = 0.0093) but not ODI were seen when comparing those who were tau positive and negative. In the amyloid positive group, there was an association between tau PET and MD in the MTL (Braak 1‐2) (r = 0.34, p = 0.040) and Braak 3‐4 (r = 0.37, p = 0.025), with an association between tau and ODI (r = 0.48, p = 0.0031) in Braak 3‐4 only. After adjusting for volume, only the association between tau PET and ODI in Braak 3‐4 remained (p = 0.038).ConclusionOur results are consistent with amyloid deposition causing dendritic/changes (as assessed by ODI) with consequent synaptic dysfunction. Later tau propogation is then associated with frank neuronal breakdown (as measured by MD). dMRI cortical imaging biomarkers have the potential to provide proxy measures of underlying AD stage/pathology prior to symptom onset.

Diurnal temperature fluctuation inhibits the growth of an Antarctic fungus

The surface temperatures of Antarctic soils and bryophyte colonies can fluctuate from close to freezing point to approximately 20 °C under clear skies around solar noon during midsummer. However, whether diurnally fluctuating temperatures influence the growth and metabolic activities of fungi inhabiting these substrates remains unknown. Here, 10 isolates of Pseudogymnoascus roseus, an ascomycete that is widespread in Antarctica, were exposed in vitro to temperatures fluctuating daily from 2 °C to 15–24 °C. Relative to controls incubated at the constant mean temperature of each treatment, temperatures fluctuating from 2 °C to ≥18 °C inhibited the growth of all isolates by 10–51% at 24 h and 48 h, and by up to 79% for individual isolates. Over a period of 21 days, all fluctuating temperature treatments reduced mean growth rates by between 3% and 48%, but had few effects on specific β-glucosidase activity, a proxy measure for metabolic activity. It is concluded that temperatures fluctuating diurnally to ≥18 °C during summer in mesic Antarctic soils and bryophyte colonies, exacerbated by the occurrence of climate-change associated heatwaves, are likely to inhibit the growth of P. roseus and perhaps also other ecologically important fungi.

Perimenopause: A critical window to intervene to reduce the risk of cognitive impairment in females

AbstractBackgroundTwo‐thirds of all persons with late‐onset Alzheimer’s disease (AD) are female. The transition to menopause, or perimenopause, negatively impacts the female brain and is proposed to contribute to a female’s greater lifetime risk for dementia. Declining 17‐β estradiol levels during perimenopause is associated with markers of AD pathology, such as reduced cerebral glucose metabolism. Preliminary evidence suggests APOE4‐positive perimenopausal females have greater amyloid In cognitively normal individuals, the T1‐weighted and T2‐weighted (T1w/T2w) ratio from magnetic resonance imaging can be used as a non‐invasive proxy measure of amyloid‐β deposition. Specifically, higher T1w/T2w ratios are associated with higher amyloid‐β accumulation in cognitively normal individuals. Thus, to better understand the impact of perimenopause on the female brain and cognitive health, we compared the T1w/T2w ratio, hippocampal volume, and cognitive performance in perimenopausal females vs. aged‐matched males.MethodsData was acquired from the Human Connectome Project. We included 44 perimenopausal females, defined by the Stages of Reproductive Aging Workshop + 10 Staging System, and 44 age‐matched males. Executive function was measured by the Flanker Task in the NIH Toolbox Cognition Battery and data were available for all 88 individuals. Hippocampal volume data were available for 23/44 perimenopausal females and 27/44 age‐matched males. T1w/T2w neuroimaging data were available for 19/44 perimenopausal females and 27/44 age‐matched males. Between‐group differences in these measures of interest were determined by analysis of covariance (ANCOVA). For the Flanker Task ANCOVA model, the Montreal Cognitive Assessment score and free estrogen levels were included as covariates. For hippocampal volume model, intracranial volume was included as a covariate. For the T1w/T2w ratio model, the Pittsburgh Sleep Quality Inventory score was included as a covariate.ResultsPerimenopausal females performed significantly worse vs. their male counterparts on the Flanker Test (mean difference: ‐28.194; p = .000). Compared with age‐matched males, perimenopausal females had a significantly smaller hippocampal volume (mean difference: ‐544.829; p = .033) and higher T1w/T2w (mean difference: 0.290; p = .042).ConclusionOur results support the hypothesis that the menopause transition is a critical window to intervene to reduce the risk of cognitive impairment in females.

P76: Agreement between nursing-home caregivers’ observations of residents’ depression, wellbeing, and quality of life

Objective:In nursing home residents, outcomes are often assessed using proxies, especially in residents with severe cognitive problems. Although caregivers are commonly involved as proxies, studies assessing their agreement for proxy measures are scarce. Therefore, secondary analysis was performed on a dataset with proxy-reported scores of several scales in Dutch and Flemish nursing home residents with and without dementia.Methods:To assess the agreement between the observations of 81 pairs of caregivers, we calculated Cohen’s Kappa, Weighted Kappa, and Prevalence- and Bias-Adjusted Kappa (PABAK and PABAK- OS for ordinal data) coefficients for the items on the Nijmegen observer-rated depression scale for detection of depression in nursing home residents (NORD), the social wellbeing of nursing-home residents scale (SWON-3), and two subscales (i.e., “social relations” and “having something to do”) of the QUALIDEM. In addition, coefficients were calculated for the item concerning subjective judgment of the residents’ depressive symptoms (“no,” “yes, mild or light,” or “yes, severe”) and for the item concerning whether the caregivers believed a depression diagnosis had been established (“yes,” “no”).Results:In general, PABAK and PABAK-OS coefficients were higher than the Cohen’s and Weighted Kappa coefficients, suggesting a considerable amount of prevalence or bias. For the total sample, most items were above .40, indicating acceptable agreement. The results showed higher levels of agreement for proxy scores of residents with lower levels of dementia, compared to residents with more severe dementia.Conclusion:The general finding of different levels of agreement between coefficients with and without correction for prevalence and bias, suggest the importance of exploring both values to enable adequate interpretation of the reliability of these items. The result of limited levels of agreement between caregivers concerning residents with more severe dementia underscores challenges for measurements in this population. We believe that practitioners and researchers should be aware of these challenges when using and interpreting scores derived from proxies. Moreover, understanding why different raters reach different conclusions regarding the same residents is important for interpreting the meaning of proxy-reported scores.

Psycho‐social risk factors for worse cognitive performance in sexual minority older adults

AbstractBackgroundSexual minority older adults (SMOA) may have a greater risk of developing cognitive impairment than heterosexual older adults (HOA), but currently available findings are inconsistent. Minority stress (i.e. sexual orientation‐related stigma) has been suggested to drive worse cognitive health in this population. Therefore, the present study aimed to investigate whether minority stress and other risk factors for worse cognition in SMOA, namely depression and marital status, were associated with worse cognitive performance in SMOA.MethodA total of 336 SMOA and 5561 HOA participants aged 50+, non‐institutionalised and free from neurodegenerative diseases from Wave 6 of the English Longitudinal Study of Ageing were included. Cognitive performance (i.e. temporal orientation, episodic memory and fluid intelligence) of SMOA and HOA was compared using general linear models including age, sex and education as covariates. The impact of depressive symptoms, marital status and minority stress on cognition in the two groups was also investigated. Weighting was performed to correct for sampling probability and differential non‐response.ResultSMOA were more likely to be single and to report stressful social experiences due to sexual orientation than HOA participants. SMOA had better episodic memory than HOA and depressive symptoms and being single were associated with worse cognitive performance across all tests. Associations between cognitive performance and all risk factors were found not to be significantly different between the two groups. However, minority stress was negatively associated (b = ‐2.116, p = 0.016) with fluid intelligence in the SMOA group only.ConclusionConsistently with previous evidence, the SMOA had better episodic memory performance than the HOA group and both more severe depression and not being in a relationship had a generalised detrimental impact on cognition. However, this study provided the first evidence of a potential negative impact of a proxy measure of minority stress on cognitive performance, i.e. worse fluid intelligence, in SMOA. Further investigations are needed to assess minority stress more comprehensively and to clarify the potential mechanisms driving decline in both self‐reported and objectively assessed cognitive health in SMOA.