Synthesizing perspectives: Crafting an Interdisciplinary view of social media's impact on young people's mental health.

This study explores the intricate relationship between social media usage and the mental health of young individuals by leveraging the insights of 492 UK school headteachers. It adopts a novel multidisciplinary approach, integrating perspectives from psychology, sociology, education studies, political science, philosophy, media studies, linguistics, social work, anthropology, and health sciences. The application of thematic analysis, powered by ChatGPT-4, identifies a predominantly negative perspective on the impact of social media on young people, focusing on key themes across various disciplines, including mental health, identity formation, social interaction and comparison, bullying, digital literacy, and governance policies. These findings culminated in the development of the five-factor Comprehensive Digital Influence Model, suggesting five key themes (Self-Identity and Perception Formation, Social Interaction Skills and Peer Communication, Mental and Emotional Well-Being, Digital Literacy, Critical Thinking, and Information Perception, and Governance, Policy, and Cultural Influence in Digital Spaces) to focus the impacts of social media on young peoples' mental health across primary and secondary educational stages. This study not only advances academic discourse across multiple disciplines but also provides practical insights for educators, policymakers, and mental health professionals, seeking to navigate the challenges and opportunities presented by social media in the digital era.

Networking trait resilience: Unifying fragmented trait resilience systems from an ecological systems theory perspective.

OBJECTIVE: This study reconceptualized trait resilience, defining it as a network of systems; utilizing direct resilience assessments-engineering, ecological, adaptive capacity, social cohesion-and proxy resilience assessments-personality, cognitive, emotional, eudaimonia, and health. BACKGROUND: The background of the study addresses the fragmented conceptualization of trait resilience by proposing a unifying network model based on ecological systems theory, illustrating the dynamic interplay of resilience factors across varying levels of disturbance. METHOD: In Study One, four USA or UK samples (total n = 2396) were used to depict the trait resilience network. Study Two (n = 1091) examined the relationship between the network and disturbance at two time-points, using mental health levels as a disturbance metric. RESULTS: Study One found that adaptive capacity, and sometimes positive emotional processes, were central variables to the network. Study Two found that in lower disturbance groups, adaptive capacity remained important, while in higher disturbance groups, a broader set of variables became central to the network. CONCLUSIONS: Study One suggests a Broaden-and-Build approach, where adaptive capacity is a foundational resilience capability, reciprocally associated with positive emotional mechanisms. Study Two suggests a new "Dynamic Resilience Spectrum Theory," proposing that increased disturbances necessitate the use of a more diverse set of resilience traits.

Dog owner mental health is associated with dog behavioural problems, dog care and dog-facilitated social interaction: a prospective cohort study.

Despite numerous qualitative and cross-sectional studies investigating how dog-related factors may impact owners' well-being, empirical studies to test these causal effects are lacking. This prospective cohort study examined the correlation and potential causal effect of 17 dog-related factors with six well-being outcomes (depression, anxiety, loneliness, suicidal ideation, hedonic well-being and eudaimonic well-being) in dog owners. Over a four-week period, 709 adult dog owners reported their weekly well-being and occurrence of each dog-related factor (e.g. how many times they ran with their dogs). A random intercept cross-lagged panel model (RI-CLPM) with significance threshold set at 0.001 was used. Six factors correlated with poorer owner well-being (i.e. aggressive dog behaviour, fearful dog behaviour, poor dog health, failure to provide for the dog, lack of control over the dog, and dog presence). Only 'friendly conversation with others due to the dog' correlated with better well-being. Purposeful reductions in the frequency of dog behavioural and health-related issues are likely to improve owner well-being, as well as greater consistency in dog care (i.e. provide for the dog) and more engagement in friendly dog-facilitated social interactions. No potential causal effects were significant. Further studies investigating causal relationships are essential to improve people's well-being through dog ownership.

Existing terminology related to antimicrobial resistance fails to evoke risk perceptions and be remembered.

BACKGROUND: Antimicrobial resistance (AMR) is a global healthcare threat promoted by all use of antibiotics. Hence, reducing overuse of antibiotics is essential. The necessary behaviour change relies on effective public health communication, but previous information campaigns-while showing some successes-have fallen short in generating a lasting increase of public awareness. A potential reason for this is AMR-related terminology, which has been criticised as inconsistent, abstract and difficult to pronounce. We report the first empirical test of word memorability and risk association for the most frequent AMR-related health terms. METHODS: Across two surveys sampling 237 US and 924 UK participants, we test people's memory for and the risk they associate with six AMR-related terms and thirty-four additional health risk terms (e.g., cancer). Participants also rate the terms on different linguistic dimensions including concreteness, familiarity, processing fluency and pronounceability. RESULTS: Our findings suggest that existing AMR-related health terms-particularly "AMR" and "Antimicrobial resistance"-are unsuitable for public health communication, because they score consistently low on both memorability and risk association. Out of the AMR terms, "Antibiotic resistance" and-to a lesser extent-"Drug-resistant infections" perform best. Regression analyses suggest that linguistic attributes (e.g., familiarity, processing fluency, pronounceability) are predictors of the terms' risk association. CONCLUSIONS: Our findings highlight an urgent need to rename AMR with a memorable term that effectively signals the existential threat of AMR and thereby motivates a change in antibiotic use. The success of the revised term is likely to depend, at least partially, on its linguistic attributes.

Antimicrobial resistance (AMR) is a serious public health risk. It means that microorganisms, such as bacteria, change in a way that existing medicines, such as antibiotics, no longer kill them. As a result, it may be impossible to treat even common infections. Increasing the public's understanding of AMR could help avoid its development, but to date, awareness campaigns have not been very successful in changing behaviour. Here, we aimed to understand why, by investigating the language used to communicate about AMR. Participants rated how much health risk they associated with different words (i.e., cancer, Ebola, AMR). People generally found it difficult to remember words associated with AMR and did not think they sounded risky compared to other health risk words. Future risk communication might benefit from renaming AMR to better signal the severity of the problem and motivate behaviour change.

Mental health symptoms among those affected by Huntington's disease: A cross-sectional study.

BACKGROUND: Although cognitive and motor symptoms of Huntington's disease (HD) are associated with disease progression, the underlying causes of psychological symptoms are not as clearly understood. Recent evidence suggests that some mental health difficulties experienced by people with HD are shared by noncarriers within HD families. Accordingly, there is a need to evaluate potential systemic contributors to HD mental distress, to support meaningful interventions for psychological symptoms in people with HD and affected families. METHOD: We used short-form Problem Behaviors Assessment mental health symptom data from the international Enroll-HD data set to characterize mental health symptoms across eight HD groups: Stages 1-5, premanifest and genotype-negative individuals, and family controls (n = 8567) using chi-square analysis with post hoc comparisons. RESULTS: We identified that people with later-stage HD (Stages 2-5) had significantly higher apathy, obsessive-compulsiveness, and (from Stage 3) disorientation than the remaining groups at a medium effect size, and that these findings largely held across three measure administrations over time. CONCLUSIONS: These findings highlight the critical symptoms in manifest HD from Stage 2 onward, but also demonstrate that crucial symptoms such as depression, anxiety, and irritability are present across HD-affected groups (including noncarriers of the gene expansion). The outcomes highlight a need for specific clinical management of later-stage HD psychological symptoms, and for systemic support across affected families.

Refining Anger: Summarizing the Self-Report Measurement of Anger.

The current paper presents a five-factor measurement model of anger summarizing scores on public-domain self-report measures of anger. Exploratory and confirmatory factor analyses of self-report measures of anger (UK, n = 500; USA, n = 625) suggest five replicable latent anger factors: anger-arousal, anger-rumination, frustration-discomfort, anger-regulation, and socially constituted anger. Findings suggested a 5-factor interpretation provided the best fit of the data. We also report evidence of measurement invariance for this 5-factor model of anger across gender, age, and ethnicity. The findings suggest a useful and parsimonious account of anger, summarizing over 50 years of research around the self-report measurement of anger.

Self-compassion, sleep quality and psychological well-being in type 2 diabetes: a cross-sectional study.

INTRODUCTION: Low self-compassion and poor sleep quality have been identified as potential key predictors of distress in type 2 diabetes (T2D). This study investigated relationships between sleep behaviors (sleep duration, social jetlag and daytime sleepiness), diabetes-related distress (DRD) and self-compassion in people with T2D. RESEARCH DESIGN AND METHODS: This cross-sectional study used data from 467 people with T2D derived from self-report questionnaires, accelerometer-assessed sleep measures and demographic information (clinicaltrials.gov registration: NCT02973412). All participants had a diagnosis of T2D and no comorbid sleep disorder (excluding obstructive sleep apnea). Hierarchical multiple regression and mediation analysis were used to quantify relationships between self-compassion, sleep variables and DRD. RESULTS: Significant predictors of DRD included two negative subscales of the Self-Compassion Scale (SCS), and daytime sleepiness. The 'overidentified' and 'isolation' SCS subscales were particularly important in predicting distress. Daytime sleepiness also partially mediated the influence of self-compassion on DRD, potentially through self-care around sleep. CONCLUSIONS: Daytime sleepiness and negative self-compassion have clear associations with DRD for people with T2D. The specific negative subscale outcomes suggest that strengthening individuals' ability to mindfully notice thoughts and experiences without becoming enmeshed in them, and reducing a sense of separateness and difference, might be key therapeutic targets for improving well-being in T2D. Psychological interventions should include approaches focused on reducing negative self-compassion and improving sleep behavior. Equally, reducing DRD may carry beneficial outcomes for sleep and self-compassion. Further work is however crucial to establish causation and long-term impact, and for development of relevant clinical resources.

Latent tuberculosis screening and treatment in HIV: highly acceptable in a prospective cohort study.

Background: People living with HIV (PLWH) are at increased risk of re-activation of latent tuberculosis infection (LTBI). Although UK and international guidelines identify this group as a priority for LTBI screening and treatment, data on attitudes of PLWH to this policy recommendation are lacking. Methods: A five-point, Likert-style questionnaire was administered to PLWH to assess views and intentions towards accepting LTBI screening and treatment. Subsequent interferon-γ release assay (IGRA) testing was offered, and chemoprophylaxis if required. Influencing demographic and psychological associations with planned, and actual, testing and treatment uptake were assessed using multivariable logistic regression. Results: 444 out of 716 (62%) patients responded. 417 out of 437 (95.4%) expressed intention to accept LTBI testing. The only significant association was the perceived importance of testing to the individual (adjusted odds ratio (aOR) 8.98, 95% CI 2.55-31.67). 390 out of 393 (99.2%) accepted appropriate IGRA screening; 41 out of 390 (10.5%) were positive. 397 out of 431 (92.1%) expressed intention to accept chemoprophylaxis, associated with perceived importance of treatment (aOR 3.52, 95% CI 1.46-8.51), a desire to have treatment for LTBI (aOR 1.77, 95% CI 0.99-3.15) and confidence in taking treatment (aOR 3.77, 95% CI 1.84-7.72). Of those offered chemoprophylaxis, 36 out of 37 (97.3%) accepted and 34 out of 36 (94.4%) completed treatment. There were no correlates with actual screening acceptance. Conclusions: LTBI is common amongst PLWH, highlighting the importance of robust screening and treatment programmes. This study shows that screening and treatment for LTBI is highly acceptable to PLWH and provides strong, objective evidence for policy-makers developing guidelines in this cohort.

Resilience, science, technology, engineering, and mathematics (STEM), and anger: A linguistic inquiry into the psychological processes associated with resilience in secondary school STEM learning.

AIM: To examine resilience in Science, Technology, Engineering, and Mathematics (STEM) learning within an ecological model, identifying the psychological processes associated with resilient, and non-resilient learning to develop a framework for promoting STEM resilience. SAMPLE AND METHOD: From a sample of secondary-school students (n = 4,936), 1,577 students who found their STEM lesson difficult were identified. Students were assessed on three resilience capabilities and asked to write a commentary on how they responded to the lesson. RESULTS: Factor analysis revealed that resilience in STEM learning could be positioned within the ecological systems model, with students' resilience being comprised of three capabilities; the ability to quickly and easily recover (Recovery), remain focussed on goals (Ecological), and naturally adjust (Adaptive capacity). Using a linguistic analysis programme, we identified the prevalence of words within the student commentaries which related to seven psychological processes. Greater ability to recover was negatively related to negative emotional processes. To increase the specificity of this relationship, we identified high and low resilient students and compared their commentaries. Low resilient students used significantly more anger words. Qualitative analysis revealed interpersonal sources of anger (anger at teacher due to lack of support) and intrapersonal sources of anger (including rumination, expression and control, and seeking distraction). CONCLUSIONS: Anger is a key process that distinguishes students who struggle to recover from a difficult STEM lesson. An ecological systems model may prove useful for understanding STEM resilience and developing intervention pathways. Implications for teacher education include the importance of students' perceptions of teacher support.

Improving Diagnosis of Functional Cognitive Impairment in Younger Adults in Primary Care: Validation of Cognitive Screening Tools and the 4-Item Geriatric Depression Scale.

BACKGROUND: Cognitive decline is classically attributed to organic causes such as dementia; however, depression can play a role in cognitive decline. OBJECTIVE: To evaluate cognitive screening tools and the 4-item Geriatric Depression Scale (GDS-4) for use in primary care to distinguish cognitive decline secondary to depression. METHOD: Clinical data collected over 2.5 years for assessed patients in a secondary clinical service for younger adults. Cognitive screening tools (General Practitioner Assessment of Cognition, Addenbrooke's Cognitive Examination-III, Rowland Universal Dementia Assessment Scale, Salzburg Dementia Test Prediction) and GDS-4 were analyzed for their accuracy to differentiate patients with cognitive decline due to depression from those with subjective cognitive complaints. RESULTS: 180 young adults seen in a memory clinic setting (< 65 years) were included. These individuals either had a diagnosis of depression (n = 46) or no cognitive impairment on assessment (n = 134) despite having subjective cognitive complaints. All used cognitive tools had poor accuracy in differentiating cognitive decline secondary to depression from subjective cognitive complaints. The GDS-4 alone, however, was able to differentiate with high accuracy (AUC = 0.818) individuals who had cognitive problems secondary to depression. CONCLUSION: Cognitive screening tools used alone are ineffective in discriminating cognitive decline secondary to depression. Incorporating the GDS-4 into the screening process by primary practitioners could facilitate early identification and treatment of depression in younger people, avoiding unnecessary referrals memory services.

Reduced Vision-Related Quality of Life in Dementia: A Preliminary Report.

BACKGROUND: Despite experimental evidence for concurrent dementia and visual impairment, there are no currently validated vision-related quality of life measures for use in this population. OBJECTIVE: To establish the extent to which individuals with mild to moderate dementia self-report visual impairment and determine the efficacy of established vision-related quality of life measures for use in a dementia population. METHODS: We compared vision-related quality of life in participants with mild-moderate dementia to healthy (dementia-free) older adults using two existing questionnaire measures already validated for use in older adults. These were the Visual Activities Questionnaire (VAQ) and the 25-item National Eye Institute Visual Function Questionnaire (VFQ-25). RESULTS: Responses on both the VAQ and VFQ-25 revealed a significant effect of dementia on self-reported vision-related quality of life. Visual impairment in dementia was identified in the domains of color discrimination, disability glare, light/dark adaption, acuity/spatial vision, depth perception, peripheral vision, visual search, and visual processing speed. Factor analysis of the data suggested that existing vision-related quality of life measures, designed for use in older adult populations, are likely to provide a robust means of assessing vision-related quality of life in older adults with dementia. This is particularly true of the VAQ, for which one latent factor emerged for both dementia and dementia-free samples. CONCLUSION: Using existing measures designed for use in older adult populations, we have shown that people with dementia experience reduced vision-related quality of life.

The fear of COVID-19 scale: Its structure and measurement invariance across 48 countries.

Coronavirus disease (COVID-19) has been a source of fear around the world. We asked whether the measurement of this fear is trustworthy and comparable across countries. In particular, we explored the measurement invariance and cross-cultural replicability of the widely used Fear of COVID-19 scale (FCV-19S), testing community samples from 48 countries (N = 14,558). The findings indicate that the FCV-19S has a somewhat problematic structure, yet the one-factor solution is replicable across cultural contexts and could be used in studies that compare people who vary on gender and educational level. The validity of the scale is supported by a consistent pattern of positive correlations with perceived stress and general anxiety. However, given the unclear structure of the FCV-19S, we recommend using latent factor scores, instead of raw scores, especially in cross-cultural comparisons. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Comparison of Logarithmic Reading Charts for Visual Assessment in Normally Sighted Participants.

SIGNIFICANCE: Logarithmic reading charts provide standardized measures of reading performance. Here we show that existing charts provide equivalent assessments of visual aspects of reading that are in good agreement with traditional measures of visual acuity and seem uninfluenced by cognitive (linguistic) factors. PURPOSE: The aims of this study were to (1) determine the equivalence of logarithmic charts of sentence and word reading, (2) evaluate the relationship between reading chart performance and more traditional measures of visual assessment, and (3) establish the influence of linguistic factors on reading chart performance. METHODS: In a sample of 82 normally sighted participants, we determined performance on the reading measures (e.g., reading acuity, reading speed, critical print size) of the following logarithmic charts of sentence and word reading: The Colenbrander English Continuous Text Near Vision Card, Radner Reading Chart, Minnesota Reading Acuity Chart, and Smith-Kettlewell Reading Chart. In doing so, we compared performance on reading measures between charts and with performance on more traditional measures of visual assessment (uncrowded and crowded letter acuity, stereoacuity, accommodation) and cognitive measures of word knowledge and ability (Wechsler Adult Intelligence Scale Vocabulary Subtest, National Adult Reading Test). RESULTS: Factor analysis confirmed that performance on the reading measures (reading acuity, reading speed, critical print size) was equivalent across charts. Reading test performance was also related to more traditional measures of vision, the most consistent of which were significant associations between reading acuity and acuity for single-letter optotypes. There were no significant associations between reading chart performance and cognitive measures of word knowledge and ability. CONCLUSIONS: The findings presented here suggest that logarithmic charts composed of sentences and words represent an alternative to traditional letter acuity testing. This is particularly the case for measures of reading acuity.

Suspected Dementia in Young Adults: Cognitive Screening Tools for Use in Primary Care.

BACKGROUND: Memory complaints are frequent among young adults presenting in general practice. Many of them will have reversable, functional cognitive impairment that can easily be mistaken for dementia. Its accurate and timely identification is warranted to prevent further escalation to overt dementia syndrome. OBJECTIVE: To evaluate the recommended primary care screening cognitive tools for dementia for use in younger people. METHODS: 2.5 years clinical data were collected during the course of ongoing patient care for all assessed face-to-face patients in a secondary care memory service for younger adults. Cognitive screening and assessment tests used in primary [General Practice Assessment of Cognition (GPCOG)] and secondary [Addenbrooke's Cognitive Examination-III (ACE-III), Rowland Universal Dementia Assessment Scale (RUDAS), Salzburg Dementia Test Prediction (SDTP)] care were analyzed for their accuracy to identify dementia and memory complaints. Area under the curve in receiver operating characteristic curves was used to measure predictive value of tests for a clinical diagnosis of dementia. RESULTS: 348 young adults were assessed for cognitive impairment. Following comprehensive Memory Clinic assessments, 241 (69.25%) were diagnosed with memory complaints in the absence of relevant neuropathology and 107 with dementia. GPCOG, especially the informant part, and RUDAS had low accuracy to identify dementia (AUC = 0.465 and AUC = 0.698, respectively). In contrast, ACE-III and SDTP demonstrated the highest accuracy (AUC = 0.799 and AUC = 0.809/0.817, respectively). CONCLUSION: Dementia screening in younger people will benefit from SDTP incorporated as part of the screening cognitive toolset. The national guidance on dementia screening tools, diagnostic pathways, and management should also refer to younger adults.

Inter-lateral Referral of Sensation in Health and Disease Using a Mirror Illusion-A Scoping Review.

OBJECTIVE: Perception of touch is expected at the location where it is applied. However, there are indications that being touched may be perceived on the contralateral side when seen as a reflection in a mirror at midline. Such inter-lateral referral of sensation (RS) lacks evidence, as mirror therapy research usually focusses on movement-based techniques. This study aimed to map out existing research across disciplines regarding the effect of RS in health and disease, and to understand whether there is rehabilitation potential in RS. METHOD: A scoping review was conducted to map out concepts and keywords across disciplines interested in this topic, using keywords in several languages, and a wide range of databases and additional sources. RESULTS: The review revealed mostly cross-sectional experiments and included over 486 participants: healthy, or with stroke, complex regional pain syndrome, amputation, nerve graft surgery or radial fracture. Procedures varied regarding stimulation tool, time and location, with two stimulating replacements, one the face and one a variety of areas. Response rates ranged from 0 to 100%.In general, RS was regarded as a phenomenon or even as a predictor of maladaptive neuroplasticity. There was little research into using RS stimulation as a modulatory tool to improve sensory perception. CONCLUSIONS: RS challenges the understanding of touch perception and elicits a range of questions regarding neuro-processing. A modulatory approach using RS has not been described, requires investigation and, if promising, development as an intervention.

Theoretical Foundations to the Impact of Dog-Related Activities on Human Hedonic Well-Being, Life Satisfaction and Eudaimonic Well-Being.

Cross-sectional comparisons of well-being between dog owners and non-owners commonly generate inconsistent results. Focusing on the uniqueness of the relationship might help address this issue and provide a stronger foundation for dog-related psychotherapeutic interventions. This study aims to evaluate the impact of dog-related activities (e.g., exercising the dog) on owner hedonic well-being, life satisfaction and eudaimonic well-being. It was also hypothesised that psychological closeness to the dog would affect these well-being outcomes. For this study, 1030 dog owners aged over 18 years old answered an online questionnaire about the impact of 15 groups of dog-related activities on their well-being. Ordinal regressions were used to estimate the mean response (and its uncertainty) for each outcome, while conditioning for psychological closeness to the dog and controlling for several key covariates. Tactile interactions and dog playing were significantly more beneficial than other activities for hedonic well-being, and dog training and dog presence for eudaimonic well-being. In contrast, dog health issues and behavioural problems were linked to decrements in these well-being outcomes. Higher psychological closeness to the dog predicted greater improvement in well-being in positive dog-related activities. Our quantitative study validates the general findings of previous qualitative work and lays the groundwork for future longitudinal studies.

The structure of mental health symptoms in Huntington's disease: Comparisons with healthy populations.

INTRODUCTION: Mental health difficulties are common among people with Huntington's disease (HD). However, such difficulties are only weakly associated with HD progression, suggesting their causes may be multifactorial rather than purely disease-related. Genetically unaffected family members have been shown to experience similar levels of mental distress to people with HD, potentially due to systemic stressors and life disruption. These factors may also influence mental wellbeing in people with HD. Accordingly, this study aimed to compare patterns and occurrence of mental distress between people with HD and genetically unaffected control groups, to determine systemic and environmental contributions to HD-related distress. METHOD: Exploratory and confirmatory factor analysis was used to compare the structure of mental distress in 5,294 individuals from four groups: manifest or premanifest HD, family control, and genotype-negative. Data were from the Enroll-HD study, using scores from the Problem Behaviors Assessment, the Hospital Anxiety and Depression Scale, and the Snaith Irritability Scale. We then evaluated consistency of the identified constructs over three annual assessments using analysis of variance. RESULTS: Four factors consistently emerged across all groups, comprising depression, anxiety, temper and self-harm; these remained stable across time. People with HD did not report significantly different anxiety scores to control groups. The manifest group reported significantly higher depression, temper and self-harm than the genotype-negative group, but only differed in some cases from family-controls. CONCLUSIONS: The findings suggest greater similarity in the severity and structure of mental health symptoms between people with and without HD than previously believed. This suggests contributions from systemic as well as genetic factors in families affected by HD, especially in terms of anxiety symptoms.

A realist evaluation of loneliness interventions for older people.

INTRODUCTION: the aim of this study was to develop a programme theory to inform the design of loneliness interventions and guide any future evaluations. METHODS: we undertook a mixed-method evaluation, informed by the realist approach, of different approaches to loneliness in one health and social care system in the East Midlands, UK. We used a combination of documentary analysis, interviews/focus groups with service providers and users and quantitative analysis to develop an initial programme theory. RESULTS: common aims of local interventions included enhancing social connectivity, providing emotional support and advice/information; recurring interventions included social activities, emotional support, advice and information, lunch clubs, learning new skills and practical support. None were robustly evaluated.Fifty-six service user or providers were involved in interviews or focus groups, which highlighted the causes of loneliness, preferred services, access to services, thoughts about intervention configuration and desired outcomes from services.The themes emerging from the interviews/focus groups from both service provider and service user perspectives were combined with all of the previous emerging data to create an overarching programme theory. Statements were constructed to allow service providers to think about which interventions might be useful to achieve specific outcomes in different contexts. CONCLUSION: the causes and consequences of loneliness vary widely between individuals, so a personalised approach is required to identify the causes and potential solutions. This study provides some high-level principles that can help commissioners and providers to tailor interventions to the individual needs of service users.

Perpetrator pose reinstatement during a lineup test increases discrimination accuracy.

We examined how encoding view influences the information that is stored in and retrieved from memory during an eyewitness identification task. Participants watched a mock crime and we varied the angle from which they viewed the perpetrator. In Experiment 1, participants (N = 2904) were tested with a static photo lineup; the viewing angle of the lineup members was the same or different from the perpetrator at encoding. In Experiment 2, participants (N = 1430) were tested with a novel interactive lineup in which they could rotate the lineup faces into any angle. In both experiments, discrimination accuracy was greater when the viewing angle at encoding and test matched. Participants reinstated the angle of the interactive faces to match their encoding angle. Our results highlight the importance of encoding specificity for eyewitness identification, and show that people actively seek out information in the testing environment that matches the study environment to aid memory retrieval.