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Humans are intrinsically social beings. Over time we are shaped by our lived experiences, particularly through our connections and interactions with others. By examining the profound nature of these social relationships, we can begin to understand how the mind emerges across the lifespan and regulates such experiences. In this chapter, we will explore relationships with family, friends, and romantic partners to develop an understanding of our innate social nature and the direct link this has to well-being and health.
Science has made evident the positive effects of relationships on well-being, including longevity, happiness, and mental health. The World Health Organization defines health as “a state of complete physical, mental and social well-being and not merely the absence of disease or infirmity” . Therefore, the absence of disease alone does not signify well-being. Rather, well-being is a quality of life in which there is the presence of positive affective processes, a sense of satisfaction, purpose, and fulfillment in life, and the absence of enduring negative emotions [2, 3].
Although early-life adversity can undermine healthy development, children growing up in harsh environments may develop intact, or even enhanced, skills for solving problems in high-adversity contexts (i.e., “hidden talents”). Here we situate the hidden talents model within a larger interdisciplinary framework. Summarizing theory and research on hidden talents, we propose that stress-adapted skills represent a form of adaptive intelligence that enables individuals to function within the constraints of harsh, unpredictable environments. We discuss the alignment of the hidden talents model with current knowledge about human brain development following early adversity; examine potential applications of this perspective to multiple sectors concerned with youth from harsh environments, including education, social services, and juvenile justice; and compare the hidden talents model with contemporary developmental resilience models. We conclude that the hidden talents approach offers exciting new directions for research on developmental adaptations to childhood adversity, with translational implications for leveraging stress-adapted skills to more effectively tailor education, jobs, and interventions to fit the needs and potentials of individuals from a diverse range of life circumstances. This approach affords a well-rounded view of people who live with adversity that avoids stigma and communicates a novel, distinctive, and strength-based message.
National vegetation classification (NVC) has been widely applied as a framework for mapping and conserving plant species and community types. However, a limited availability of expertise has prevented NVCs from being developed and used in cryptogam-dominated systems, such as for temperate and boreal epiphyte communities. This study simplified a recent systematically sampled NVC, trialled for epiphyte communities in Scotland, by reducing the original list of 82 community indicators to 34 easily recognisable species (lichens, mosses and liverworts). These were subsequently sampled from woodland sites positioned in Scotland’s temperate rain forest zone. Sites were positioned among localities in less intensively managed landscapes (northwest Scotland) through to peri-urban environments (southern Scotland), grouping sites for each locality based on a contrast in woodland temporal continuity (ancient or recent). The richness and diversity of epiphyte community indicators were compared with easily measured variables reflecting stand heterogeneity or ecological stability, and woodland temporal continuity, with air pollution as a covariable. Richness and diversity were significantly explained by the ecological stability of woodland stands, heterogeneity of the light environment, and nitrogen pollution. This demonstrates a tool that can be deployed by the non-specialist, with appropriate training, to quantify the condition of a woodland stand through consequences for its epiphytes in globally important temperate rain forest. The pattern of richness and diversity was consistent with the co-occurrence of particular indicator species, which represent the range of epiphyte community types supported by a woodland.
OBJECTIVES/GOALS: The history of immune suppression, especially CD4 nadir, has been shown to be a strong predictor of HIV-associated neurocognitive disorders (HAND). However, the potential mechanism of this association is not well understood. This study examined the relationship between CD4 nadir and brain atrophy. METHODS/STUDY POPULATION: Fifty-nine people with HIV participated in the cross-sectional study (mean age, 56.5 ± 5.8; age range, 41-69; 15 females; 46 African-Americans). High resolution structural MRI images were obtained using a 3T Siemens scanner. From a comprehensive 7-domain neuropsychological test battery, a global deficit score (GDS) and HAND diagnoses were determined for each participant. The correlation between CD4 nadir (the lowest ever lymphocyte CD4 count) and cortical thickness was investigated using a vertex-wise non-parametric approach with a conservative statistical threshold of p < 0.05 (FWE-corrected). RESULTS/ANTICIPATED RESULTS: Out of the 59 participants, 12 met standard Frascati criteria for asymptomatic neurocognitive impairment (ANI) and two met the criteria for mild neurocognitive disorder (MND). Across all participants, low CD4 nadir was associated with widespread cortical thinning, especially in the frontal and temporal regions. Higher GDS (indicating worse global neurocognitive function) was associated with bilateral frontal cortical thinning, and the association largely persisted in the subset of participants who did not meet HAND criteria. DISCUSSION/SIGNIFICANCE OF IMPACT: These results suggest that the low CD4 nadir may be associated with widespread neural injury in the brain, especially in the frontal and temporal regions. This spatial profile might contribute to the prevalence/phenotypes of HAND in the cART era, such as the frequently observed deficits in the executive domain.
Prenatal alcohol exposure (PAE) produces physiological and behavioural abnormalities that are consistent with altered serotonin (5-HT) function in male rats. Whether alterations in the 5-HT system persist into adulthood and are present in females remains unknown.
1) the effects of PAE on the number of 5-HT neurons in the brainstem in female adult rats;
2) the potential influence of ovarian sex steroids, estradiol (E2) and progesterone (P4) on this population of 5-HT neurons.
Female offspring from prenatal ethanol (PAE), pair-fed (PF) and ad lib-fed control (C) dams were studied in adulthood. Females were assigned to the following groups: 1) ovariectomized (OVX); 2) ovariectomized with estradiol replacement (OVX+E2; mean plasma concentration: 64 pg/ml); 3) ovariectomized and replaced with estradiol (as above) and progesterone (OVX+E2+P4; mean plasma concentration for P4:12 ng/ml); 4) Sham surgery (SHAM). Immunocytochemistry for 5-HT was performed.
PAE decreased the number of 5-HT-ir neurons in the dorsal raphe (DR) in OVX females. There was no effect of PAE the number of DR 5HT-ir neurons in OVX+E2 group, suggesting a possible neuroprotective role of estradiol in PAE animals. Treatment with both progesterone and estradiol compared to estradiol alone caused a further decrease in number of DR 5-HT-ir neurons in PAE but not C or PF animals.
These results provide evidence of the enduring effects of PAE on the serotonergic system, and suggest a role for the ovarian sex steroids in mediating these effects.
IMPART (CIHR) to JHS, NIH/NIAAA AA007789 and HELP to JW.
The UK has longstanding problems with psychiatry recruitment. Various initiatives aim to improve psychiatry's image among medical students, but involve research and none are student-led. Providing opportunities to take part in psychiatry research and quality improvement could increase the number of students who choose to enter the speciality.
We have developed the student psychiatry audit and research collaborative (SPARC), a student-led initiative for nationwide collaboration in high-quality research and audits.
Our model is inspired by the success of the UK Student audit and research in surgery (STARSurg). Area teams, located in medical schools, take part in multi-centre projects. The area teams consist of medical students, who have the main responsibility for collecting data; a junior doctor, to supervise the process; and a consultant, with overall responsibility for patient care. The data collected centrally and analysed by a team of medical students and doctors. Student leads from each site are named authors on resulting papers. All other students are acknowledged and are able to present the work.
We have completed our first audits in Cardiff and London; other sites will return data in 2017. Student feedback indicated a high level of satisfaction with the project and interest in psychiatry as a future career.
This initiative aims to tackle the recruitment problems in psychiatry by giving students a chance to take part in high quality research and audits.
Disclosure of interest
The authors have not supplied their declaration of competing interest.
Venous thromboembolism (VTE) is a potentially fatal condition. Hospital-associated VTE leads to more than 25,000 deaths per year in the UK. Therefore identification of at-risk patients is crucial. Psychiatric in-patients have unique factors which may affect their risk of VTE (antipsychotic prescription, restraint) however there are currently no UK guidelines which specifically address VTE risk in this population.
We assessed VTE risk among psychiatric inpatients in Cardiff and Vale university health board, Wales, UK, and whether proformas currently provided for VTE risk assessment were being completed.
All acute adult in-patient and old age psychiatric wards were assessed by a team of medical students and a junior doctor over three days. We used the UK department of health VTE risk assessment tool which was adapted to include factors specific for psychiatric patients. We also assessed if there were concerns about prescribing VTE prophylaxis (compression stockings or anticoagulants), because of a history of self-harm or ligature use.
Of the 145 patients included, 0% had a completed VTE risk assessment form. We found 38.6% to be at an increased risk of VTE and there were concerns about prescribing VTE prophylaxis in 31% of patients.
Our findings suggest that VTE risk assessment is not being carried out on psychiatric wards. Staff education is needed to improve awareness of VTE. Specific guidance for this population is needed due to the presence of unique risk factors in psychiatric in-patients and concerns regarding VTE prophylaxis.
Disclosure of interest
The authors have not supplied their declaration of competing interest.
Mechanistic models (MMs) have served as causal pathway analysis and ‘decision-support’ tools within animal production systems for decades. Such models quantitatively define how a biological system works based on causal relationships and use that cumulative biological knowledge to generate predictions and recommendations (in practice) and generate/evaluate hypotheses (in research). Their limitations revolve around obtaining sufficiently accurate inputs, user training and accuracy/precision of predictions on-farm. The new wave in digitalization technologies may negate some of these challenges. New data-driven (DD) modelling methods such as machine learning (ML) and deep learning (DL) examine patterns in data to produce accurate predictions (forecasting, classification of animals, etc.). The deluge of sensor data and new self-learning modelling techniques may address some of the limitations of traditional MM approaches – access to input data (e.g. sensors) and on-farm calibration. However, most of these new methods lack transparency in the reasoning behind predictions, in contrast to MM that have historically been used to translate knowledge into wisdom. The objective of this paper is to propose means to hybridize these two seemingly divergent methodologies to advance the models we use in animal production systems and support movement towards truly knowledge-based precision agriculture. In order to identify potential niches for models in animal production of the future, a cross-species (dairy, swine and poultry) examination of the current state of the art in MM and new DD methodologies (ML, DL analytics) is undertaken. We hypothesize that there are several ways via which synergy may be achieved to advance both our predictive capabilities and system understanding, being: (1) building and utilizing data streams (e.g. intake, rumination behaviour, rumen sensors, activity sensors, environmental sensors, cameras and near IR) to apply MM in real-time and/or with new resolution and capabilities; (2) hybridization of MM and DD approaches where, for example, a ML framework is augmented by MM-generated parameters or predicted outcomes and (3) hybridization of the MM and DD approaches, where biological bounds are placed on parameters within a MM framework, and the DD system parameterizes the MM for individual animals, farms or other such clusters of data. As animal systems modellers, we should expand our toolbox to explore new DD approaches and big data to find opportunities to increase understanding of biological systems, find new patterns in data and move the field towards intelligent, knowledge-based precision agriculture systems.
Despite increased focus on ascertaining the status of elasmobranch fish, the stock units for many species are uncertain. Data from mark-recapture tagging studies undertaken from 1959–2017 were analysed for 13 batoid species. Data were most comprehensive for skates (Rajidae), with 22,374 released and 3342 (14.9%) returned. Most data related to thornback ray Raja clavata, blonde ray R. brachyura and spotted ray R. montagui. Tags were generally returned from areas less than 50 km from their release, and usually from the ICES Division in which they were released. However, straight-line distances travelled of up to 910 km (R. brachyura) and 772 km (R. clavata) were recorded, highlighting that individual skates are capable of longer-distance movements. The maximum time at liberty was 16.6 years (R. clavata). Whilst mark-recapture data indicated that the current stock units used by ICES are broadly appropriate, southward movements of several skate species tagged off Northern Ireland (Division 6.a) to the Irish Sea (Division 7.a) were observed. In contrast, skates tagged in the Irish Sea and Bristol Channel (Division 7.f) generally remained in that area, with only occasional recaptures from Division 6.a.
We analyze the strategic considerations inherent in legislative subsidies and develop an informational lobbying model with costly policy reforms. In contrast to other models of informational lobbying, we focus on the implications of a policymaker’s and a lobby’s resource constraints for lobbying activities. We allow both a policymaker and a lobby to gather information, and each can either fund or subsidize policymaking. Our analysis highlights that legislative subsidies are both chosen strategically by lobbyists and strategically induced by policymakers, dependent on the circumstances. These involve which resource constraints bind the policymaker’s prior beliefs, the salience of policy, and the policymaker’s and lobby’s expertise in information gathering. Our results highlight five distinct motives for informational lobbying and demonstrate that for both a lobby and policymaker, there can be strategic advantages arising from being resource-constrained.
Frascati international research criteria for HIV-associated neurocognitive disorders (HAND) are controversial; some investigators have argued that Frascati criteria are too liberal, resulting in a high false positive rate. Meyer et al. recommended more conservative revisions to HAND criteria, including exploring other commonly used methodologies for neurocognitive impairment (NCI) in HIV including the global deficit score (GDS). This study compares NCI classifications by Frascati, Meyer, and GDS methods, in relation to neuroimaging markers of brain integrity in HIV.
Two hundred forty-one people living with HIV (PLWH) without current substance use disorder or severe (confounding) comorbid conditions underwent comprehensive neurocognitive testing and brain structural magnetic resonance imaging and magnetic resonance spectroscopy. Participants were classified using Frascati criteria versus Meyer criteria: concordant unimpaired [Frascati(Un)/Meyer(Un)], concordant impaired [Frascati(Imp)/Meyer(Imp)], or discordant [Frascati(Imp)/Meyer(Un)] which were impaired via Frascati criteria but unimpaired via Meyer criteria. To investigate the GDS versus Meyer criteria, the same groupings were utilized using GDS criteria instead of Frascati criteria.
When examining Frascati versus Meyer criteria, discordant Frascati(Imp)/Meyer(Un) individuals had less cortical gray matter, greater sulcal cerebrospinal fluid volume, and greater evidence of neuroinflammation (i.e., choline) than concordant Frascati(Un)/Meyer(Un) individuals. GDS versus Meyer comparisons indicated that discordant GDS(Imp)/Meyer(Un) individuals had less cortical gray matter and lower levels of energy metabolism (i.e., creatine) than concordant GDS(Un)/Meyer(Un) individuals. In both sets of analyses, the discordant group did not differ from the concordant impaired group on any neuroimaging measure.
The Meyer criteria failed to capture a substantial portion of PLWH with brain abnormalities. These findings support continued use of Frascati or GDS criteria to detect HIV-associated CNS dysfunction.