39 research outputs found
Can culture beat Covid-19? Evidence that exposure to facemasks with cultural symbols increases solidarity
Facemasks have become integral to everyday life. We propose that exposure to facemasks with a solidarity-related cultural symbol can activate cultural values such as mutual trust and increase corresponding interpersonal perceptions, thereby enhancing collective resilience in the Covid-19 pandemic. In three (two of which preregistered) studies, we examined whether exposure to facemasks with a solidarity-related cultural symbol predicts positive interpersonal perceptions, and whether this depends on death awareness. Across studies, exposure to facemasks with a cultural symbol (either pride flag or National Health Service) increased positive interpersonal perceptions, an index of solidarity, in people for whom this symbol represents a meaningful social identity. This was found whether participants were reminded of death, a neutral experience, or a negative experience. Importantly, in Study 3, exposure to facemasks with a solidarity-related cultural symbol (vs. surgical) led to greater increases in positive interpersonal perceptions when death awareness was high. Together, our findings suggest that wearing facemasks with a cultural symbol that relates to solidarity can be a vehicle for shaping people's personality impressions of others. Applied directions for the activation of people's social identities via facemask selection to promote collective resilience in the Covid-19 pandemic are discussed
Can group-based strategies increase community resilience? Longitudinal predictors of sustained participation in Covid-19 mutual aid and community support groups
Mutual aid groups have been a critical part of the coronavirus disease-2019 (Covid-19) response and continue to address the needs of people in their communities. To understand how mutual aid and similar community support groups can be sustained over time, we test the idea that using group-based strategies initiates psychological trajectories that shape future participation. We conducted a preregistered longitudinal survey among Covid-19 mutual aid and community support volunteers in the United Kingdom (nWave 1 = 600, May 2021; nWave 2 = 299, July–August 2021) who were registered panelists of an independent research organization. Assessments included measures of group-based strategies, collective participation predictors, participation experience, and sustained participation. Volunteers engaged in a wide range of support activities including shopping, emotional support provision, and deliveries. Two group-based strategies—group alliances and group horizontality—longitudinally predicted sustained participation. In addition, sense of community responsibility and burnout were longitudinal predictors of sustained participation. Importantly, predictors of sustained participation diverged for volunteers with different levels of volunteering experience. Our findings highlight group-based strategies as a potential resource for organizers seeking to sustain participation. Use can be tailored depending on the profiles of individual Covid-19 mutual aid volunteers. These findings have significance beyond Covid-19 as they are relevant to sustaining community resilience more generally
New and simple algorithms for stable flow problems
Stable flows generalize the well-known concept of stable matchings to markets
in which transactions may involve several agents, forwarding flow from one to
another. An instance of the problem consists of a capacitated directed network,
in which vertices express their preferences over their incident edges. A
network flow is stable if there is no group of vertices that all could benefit
from rerouting the flow along a walk.
Fleiner established that a stable flow always exists by reducing it to the
stable allocation problem. We present an augmenting-path algorithm for
computing a stable flow, the first algorithm that achieves polynomial running
time for this problem without using stable allocation as a black-box
subroutine. We further consider the problem of finding a stable flow such that
the flow value on every edge is within a given interval. For this problem, we
present an elegant graph transformation and based on this, we devise a simple
and fast algorithm, which also can be used to find a solution to the stable
marriage problem with forced and forbidden edges.
Finally, we study the stable multicommodity flow model introduced by
Kir\'{a}ly and Pap. The original model is highly involved and allows for
commodity-dependent preference lists at the vertices and commodity-specific
edge capacities. We present several graph-based reductions that show
equivalence to a significantly simpler model. We further show that it is
NP-complete to decide whether an integral solution exists
Predictors of loneliness during the Covid-19 pandemic in people with dementia and their carers in England: findings from the DETERMIND-C19 study
Objectives
To identify factors that predict the risk of loneliness for people with dementia and carers during a pandemic.
Methods
People with dementia and their carers completed assessments before (July 2019–March 2020; 206 dyads) and after (July–October 2020) the first Covid-19 ‘lockdown’ in England. At follow-up, the analytic sample comprised 67 people with dementia and 108 carers. We built a longitudinal path model with loneliness as an observed outcome. Carer type and social contacts at both measurements were considered. Other social resources (quality of relationship, formal day activities), wellbeing (anxiety, psychological wellbeing) and cognitive impairment were measured with initial level and change using latent growth curves. We adjusted for socio-demographic factors and health at baseline.
Results
In carers, higher levels of loneliness were directly associated with non-spouse coresident carer type, level and increase of anxiety in carer, more formal day activities, and higher cognitive impairment in the person with dementia. In people with dementia, non-spouse coresident carer type, and higher initial levels of social resources, wellbeing, and cognitive impairment predicted the changes in these factors; this produced indirect effects on social contacts and loneliness.
Conclusion
Loneliness in the Covid-19 pandemic appears to be shaped by different mechanisms for people with dementia and their carers. The results suggest that carers of those with dementia may prioritize providing care that protects the person with dementia from loneliness at the cost of experiencing loneliness themselves. Directions for the promotion of adaptive social care during the Covid-19 pandemic and beyond are discussed
Exploding Head Syndrome: Clinical Features, Theories about Etiology, and Prevention Strategies in a Large International Sample
OBJECTIVE: Exploding head syndrome (EHS) is a benign sensory parasomnia characterized by the perception of loud noises or a sense of explosion in the head. Few studies have assessed clinical features and little is known about demographic differences or prevention strategies.
PATIENTS/METHODS: A cross-sectional study of 3286 individuals with and 2954 without lifetime EHS episodes was conducted via online questionnaires.
RESULTS: Those with EHS had shorter sleep durations, longer sleep onset latencies, poorer sleep quality, and less sleep efficiency, but effect sizes for these differences were small. Females were slightly more likely than males to endorse EHS. 44.4% of individuals with EHS experienced significant fear during episodes, but fewer reported clinically significant distress (25.0%) or interference (10.1%) as a result of EHS. Most sufferers believed it to be a brain-based phenomenon, but a small minority endorsed anomalous causes. Five prevention strategies with >50% reported effectiveness were identified.
CONCLUSIONS: EHS was assessed in the largest sample to date. Though associated with clinical impacts, no empirically supported interventions yet exist. The five prevention strategies may prove useful for treatment development
Using digital technologies to facilitate social inclusion during the COVID-19 pandemic: Experiences of co-resident and non-co-resident family carers of people with dementia from DETERMIND-C19
Background
The COVID-19 pandemic triggered rapid and unprecedented changes in the use of digital technologies to support people's social inclusion. We examined whether and how co-resident and non-co-resident family carers of people with dementia engaged with digital technologies during this period.
Methods
Throughout November 2020-February 2021, we interviewed 42 family carers of people with dementia from our DETERMIND-C19 cohort. Preliminary analysis was conducted through Framework analysis, followed by an inductive thematic analysis.
Findings
Digital technologies served as a Facilitator for social inclusion by enabling carers to counter the effects of the differing restrictions imposed on them so they could remain socially connected and form a sense of solidarity, access resources and information, engage in social and cultural activities and provide support and independence in their caring role. However, these experiences were not universal as carers discussed some Challenges for tech inclusion, which included preferences for face-to-face contact, lack of technological literacy and issues associated with the accessibility of the technology.
Conclusion
Many of the carers engaged with Information and Communication Technologies, and to a lesser extent Assistive Technologies, during the pandemic. Whilst carers experienced different challenges due to where they lived, broadly the use of these devices helped them realise important facets of social inclusion as well as facilitated the support they provided to the person with dementia. However, to reduce the ‘digital divide’ and support the social inclusion of all dementia carers, our findings suggest it is essential that services are attuned to their preferences, needs and technological abilities
A cohort study of the impact of COVID-19 on the quality of life of people newly diagnosed with dementia and their family carers
Introduction
COVID-19 has impacted people with dementia and their family carers, yet little is known about effects on overall quality of life.
Methods
In a UK cohort study, pre- and post-pandemic data were collected from 114 carers and 93 recently diagnosed people with dementia. Latent growth curve modeling examined change in quality of life.
Results
Carers reported significant decline in quality of life, although no change was demonstrated by people with dementia. In multivariable analyses, higher levels of cognitive impairment, deprivation, study site, and lower number of memory clinic contacts were associated with greater decline in carer quality of life.
Discussion
Maintaining life quality for people with dementia during the pandemic appears to have come at the expense of their family carers. This inequity has fallen hardest on those caring for people with more severe dementia, in deprived areas, and with least support from memory services. These effects may be prevented or reversed by post-diagnostic care
Long-term impact of the COVID-19 pandemic on the quality of life of people with dementia and their family carers
\ua9 The Author(s) 2024. Published by Oxford University Press on behalf of the British Geriatrics Society. INTRODUCTION: Few studies have longitudinally mapped quality of life (QoL) trajectories of newly diagnosed people with dementia and their carers, particularly during coronavirus disease-2019 (COVID-19). METHODS: In a UK cohort study, 261 newly diagnosed people with dementia and 206 family carers were assessed prior to the pandemic (July 2019-March 2020), followed up after the first lockdown (July-October 2020) and then again a year and 2 years later. Latent growth curve modelling examined the level and change of QoL over the four time-points using dementia-specific QoL measures (DEMQOL and C-DEMQOL). RESULTS: Despite variations in individual change scores, our results suggest that generally people with dementia maintained their QoL during the pandemic and experienced some increase towards the end of the period. This contrasted with carers who reported a general deterioration in their QoL over the same period. \u27Confidence in future\u27 and \u27Feeling supported\u27 were the only carer QoL subscales to show some recovery post-pandemic. DISCUSSION: It is positive that even during a period of global disruption, decline in QoL is not inevitable following the onset of dementia. However, it is of concern that carer QoL declined during this same period even after COVID-19 restrictions had been lifted. Carers play an invaluable role in the lives of people with dementia and wider society, and our findings suggest that, post-pandemic, they may require greater support to maintain their QoL
DETERMinants of quality of life, care and costs, and consequences of INequalities in people with dementia and their carers (DETERMIND): a protocol paper
Objectives: DETERMIND (DETERMinants of quality of life, care and costs, and consequences of INequalities in people with Dementia and their carers) is designed to address fundamental, and, as yet unanswered, questions about inequalities, outcomes and costs following diagnosis with dementia. These answers are needed to improve the quality of care and equity of access to care, and therefore the quality of life, of people with dementia and their carers.
Method: DETERMIND is a programme of research consisting of seven complementary workstreams (WS) exploring various components that may result in unequal dementia care:
WS1: Recruitment and follow-up of the DETERMIND cohort - 900 people with dementia and their carers from three geographically and socially diverse sites within six months following diagnosis, and follow them up for three years.
WS2: Investigation of the extent of inequalities in access to dementia care
WS3: Relationship between use and costs of services and outcomes
WS4: Experiences of self-funders of care
WS5: Decision-making processes for people with dementia and carers
WS6: Effect of diagnostic stage and services on outcomes
WS7: Theory of Change informed strategy and actions for applying the research findings
Outcomes: During the life of the programme, analysing baseline results and then follow-up of the DETERMIND cohort over 3 years, we will establish evidence on current services and practice. DETERMIND will deliver novel, detailed data on inequalities in dementia care and what drives positive and negative outcomes and costs for people with dementia and carers, and identify factors that help or hinder living well with dementia
Transmitted drug resistance, selection of resistance mutations and moderate antiretroviral efficacy in HIV-2: Analysis of the HIV-2 Belgium and Luxembourg database
BACKGROUND: Guidelines established for the treatment of HIV-1 infection and genotype interpretation do not apply for HIV-2. Data about antiretroviral (ARV) drug efficacy and resistance mutations is scarce. METHODS: Clinical data about HIV-2 infected patients in Belgium and Luxembourg were collected and the effect of ARV therapy on plasma viral load and CD4 counts were analysed. Viral RNA encoding for protease (PR) and reverse transcriptase (RT) from ARV-naive and treated patients were sequenced. RESULTS: Sixty-five HIV-2 infected patients were included in this cohort. Twenty patients were treated with 25 different ARV combinations in a total of 34 regimens and six months after the start of ARV therapy, only one third achieved viral load suppression. All of these successful regimens bar one contained protease inhibitors (PIs). Mean CD4 gains in the group of viral load suppressors and the group of patients treated with PI-containing regimens were respectively significantly higher than in the group of non-suppressors and the group of PI-sparing regimens. The most frequent mutations selected under therapy (compared to HIV-2 ROD) were V71I, L90M and I89V within PR. Within RT, they were M184V, Q151M, V111I and K65R. All of these mutations, except K65R and M184V, were also found in variable proportions in ARV-naive patients. CONCLUSION: Despite a high rate of ARV treatment failure, better virological and immunological results were achieved with PI-containing regimens. The analysis of polymorphic positions and HIV-2 specific mutations selected during therapy showed for the first time that transmission of drug resistant viruses has occurred in Belgium and Luxembourg. The high heterogeneity in ARV combinations reflects a lack of guidelines for the treatment of HIV-2 infection