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The COVID-19 pandemic significantly disrupted schools and learning formats. Children with epilepsy are at-risk for generalized academic difficulties. We investigated the potential impact of COVID-19 on learning in those with epilepsy by comparing achievement on well-established academic measures among school-age children with epilepsy referred prior to the COVID-19 pandemic and those referred during the COVID-19 pandemic.
Participants and Methods:
This study included 466 children [52% male, predominately White (76%), MAge=10.75 years] enrolled in the Pediatric Epilepsy Research Consortium Epilepsy (PERC) Surgery database project who were referred for surgery and seen for neuropsychological testing. Patients were divided into two groups based on a proxy measure of pandemic timing completed by PERC research staff at each site (i.e., “were there any changes to typical in-person administration [of the evaluation] due to COVID?”). 31% of the sample (N = 144) were identified as having testing during the pandemic (i.e., “yes” response), while 69% were identified as having testing done pre-pandemic (i.e., “no” response). Of the 31% who answered yes, 99% of administration changes pertained to in-person testing or other changes, with 1% indicating remote testing. Academic achievement was assessed by performance measures (i.e., word reading, reading comprehension, spelling, math calculations, and math word problems) across several different tests. T-tests compared the two groups on each academic domain. Subsequent analyses examined potential differences in academic achievement among age cohorts that approximately matched grade level [i.e., grade school (ages 5-10), middle school (ages 11-14), and high school (ages 15-18)].
Results:
No significant differences were found between children who underwent an evaluation before the pandemic compared to those assessed during the pandemic based on age norms across academic achievement subtests (all p’s > .34). Similarly, there were no significant differences among age cohorts. The average performance for each age cohort generally fell in the low average range across academic skills. Performance inconsistently varied between age cohorts. The youngest cohort (ages 5-10) scored lower than the other cohorts for sight-word reading, whereas this cohort scored higher than the middle cohort (ages 11-14) for math word problems and reading comprehension. There were no significant differences between the two pandemic groups on demographic variables, intellectual functioning, or epilepsy variables (i.e., age of onset, number of seizure medications, seizure frequency).
Conclusions:
Academic functioning was generally equivalent between children with epilepsy who underwent academic testing as part of a pre-surgical evaluation prior to the pandemic compared to those who received testing during the pandemic. Additionally, academic functioning did not significantly differ between age cohorts. Children with epilepsy may have entered the pandemic with effective academic supports and/or were accustomed to school disruptions given their seizure history. Replication is needed as findings are based on a proxy measure of pandemic timing and the extent to which children experienced in-person, remote, and hybrid learning is unknown. Children tested a year into the pandemic, after receiving instruction through varying educational methods, may score differently than those tested earlier. Future research can address these gaps. Although it is encouraging that academic functioning was not disproportionately impacted during the pandemic in this sample, children with epilepsy are at-risk for generalized academic difficulties and continued monitoring of academic functioning is necessary.
The Pediatric Epilepsy Research Consortium (PERC) Epilepsy Surgery Database Project is a multisite collaborative that includes neuropsychological evaluations of children presenting for epilepsy surgery. There is some evidence for specific neuropsychological phenotypes within epilepsy (Hermann et al, 2016); however, this is less clear in pediatric patients. As a first step, we applied an empirically-based subtyping approach to determine if there were specific profiles using indices from the Wechsler scales [Verbal IQ (VIQ), Nonverbal IQ (NVIQ), Processing Speed Index (PSI), Working Memory Index (WMI)]. We hypothesized that there would be at least four profiles that are distinguished by slow processing speed and poor working memory as well as profiles with significant differences between verbal and nonverbal reasoning abilities.
Participants and Methods:
Our study included 372 children (M=12.1 years SD=4.1; 77.4% White; 48% male) who completed an age-appropriate Wechsler measure, enough to render at least two index scores. Epilepsy characteristics included 84.4% with focal epilepsy (evenly distributed between left and right focus) and 13.5% with generalized or mixed seizure types; mean age of onset = 6.7 years, SD = 4.5; seizure frequency ranged from daily to less than monthly; 53% had structural etiology; 71% had an abnormal MRI; and mean number of antiseizure medications was two. Latent profile analysis was used to identify discrete underlying cognitive profiles based on intellectual functioning. Demographic and epilepsy characteristics were compared among profiles.
Results:
Based on class enumeration procedures, a 3-cluster solution provided the best fit for the data, with profiles characterized by generally Average, Low Average, or Below Average functioning. 32.8% were in the Average profile with mean index scores ranging from 91.7-103.2; 47.6% were in the Low Average profile with mean index ranging from 80.7 to 84.5; and 19.6% were in the Below Average profile with mean index scores ranging from 55.0-63.1. Across all profiles, the lowest mean score was the PSI, followed by WMI. VIQ and NVIQ represented relatively higher scores for all three profiles. Mean discrepancy between indices within a profile was as large as 11.5 IQ points. No demographics or epilepsy characteristics were significantly different across cognitive phenotypes.
Conclusions:
Latent cognitive phenotypes in a pediatric presurgical cohort were differentiated by general level of functioning; however, across profiles, processing speed was consistently the lowest index followed by working memory. These findings across phenotypes suggest a common relative weakness which may result from a global effect of antiseizure medications and/or the widespread impact of seizures on neural networks even in a largely focal epilepsy cohort; similar to adult studies with temporal lobe epilepsy (Hermann et al, 2007). Future work will use latent profile analysis to examine phenotypes across other domains relevant to pediatric epilepsy including attention, naming, motor, and memory functioning. These findings are in line with collaborative efforts towards cognitive phenotyping which is the aim of our PERC Epilepsy Surgery Database Project that has already established one of the largest pediatric epilepsy surgery cohorts.
Children with epilepsy are at greater risk of lower academic achievement than their typically developing peers (Reilly and Neville, 2015). Demographic, social, and neuropsychological factors, such as executive functioning (EF), mediate this relation. While research emphasizes the importance of EF skills for academic achievement among typically developing children (e.g., Best et al., 2011; Spiegel et al., 2021) less is known among children with epilepsy (Ng et al., 2020). The purpose of this study is to examine the influence of EF skills on academic achievement in a nationwide sample of children with epilepsy.
Participants and Methods:
Participants included 427 children with epilepsy (52% male; MAge= 10.71), enrolled in the Pediatric Epilepsy Research Consortium (PERC) Epilepsy Surgery Database who had been referred for surgery and underwent neuropsychological testing. Academic achievement was assessed by performance measures (word reading, reading comprehension, spelling, and calculation and word-based mathematics) and parent-rating measures (Adaptive Behavior Assessment System (ABAS) Functional Academics and Child Behavior Checklist (CBCL) School Performance). EF was assessed by verbal fluency measures, sequencing, and planning measures from the Delis Kaplan Executive Function System (DKEFS), NEPSY, and Tower of London test. Rating-based measures of EF included the 'Attention Problems’ subscale from the CBCL and 'Cognitive Regulation’ index from the Behavior Rating Inventory of Executive Function (BRIEF-2). Partial correlations assessed associations between EF predictors and academic achievement, controlling for fullscale IQ (FSIQ; A composite across intelligence tests). Significant predictors of each academic skill or rating were entered into a two-step regression that included FSIQ, demographics, and seizure variables (age of onset, current medications) in the first step with EF predictors in the second step.
Results:
Although zero-order correlations were significant between EF predictors and academic achievement (.29 < r’s < .63 for performance; -.63 < r’s < -.50 for rating measures), partial correlations controlling for FSIQ showed fewer significant relations. For performance-based EF, only letter fluency (DKEFS Letter Fluency) and cognitive flexibility (DKEFS Trails Condition 4) demonstrated significant associations with performance-based academic achievement (r’s > .29). Regression models for performance-based academic achievement indicated that letter fluency (ß = .22, p = .017) and CBCL attention problems (ß = -.21, p =.002) were significant predictors of sight-word reading. Only letter fluency (ß = .23, p =.006) was significant for math calculation. CBCL Attention Problems were a significant predictor of spelling performance (ß = -.21, p = .009) and reading comprehension (ß = -.18, p =.039). CBCL Attention Problems (ß = -.38, p <.001 for ABAS; ß = -.34, p =.002 for CBCL School) and BRIEF-2 Cognitive Regulation difficulties (ß = -.46, p < .001 for ABAS; ß = -.46, p =.013 for CBCL School) were significant predictors of parent-rated ABAS Functional Academics and CBCL School Performance.
Conclusions:
Among a national pediatric epilepsy dataset, performance-based and ratings-based measures of EF predicted performance academic achievement, whereas only ratings-based EF predicted parent-rated academic achievement, due at least in part to shared method variance. These findings suggest that interventions that increase cognitive regulation, reduce symptoms of attention dysfunction, and promote self-generative, flexible thinking, may promote academic achievement among children with epilepsy.
Pediatric patients with frontal lobe epilepsy (FLE) have higher rates of attention deficit hyperactivity disorder (ADHD), as well as executive functioning (EF) and fine motor (FM) challenges. Relations between these constructs have been established in youth with ADHD and are supported by FM and EF skill involvement in frontal-subcortical systems. Still, they are not well understood in pediatric FLE. We hypothesized that poorer FM performance would be related to greater executive dysfunction and ADHD symptomatology in this group.
Participants and Methods:
47 children and adolescents with FLE (AgeM=12.47, SD=5.18; IQM=84.07; SD=17.56; Age of Seizure OnsetM=6.85, SD=4.64; right-handed: n=34; left-handed: n=10; Unclear: n=3) were enrolled in the Pediatric Epilepsy Research Consortium dataset as part of their phase I epilepsy surgical evaluation. Participants were selected if they had unifocal FLE and completed the Lafayette Grooved Pegboard (GP). Seizure lateralization (left-sided: n=19; right-sided: n=26; bilateral: n=2) and localization were established via data (e.g., EEG, MRI) presented at a multidisciplinary team case conference. Patients completed neuropsychological measures of FM, attention, and EF. Parents also completed questionnaires inquiring about their child’s everyday EF and ADHD symptomatology. Correlational analyses were conducted to examine FM, EF, and ADHD relations.
Results:
Dominant hand (DH) manual dexterity (GP) was related to parent-reported EF (Behavior Rating Inventory of Executive Function, Second Edition [BRIEF-2]-Global Executive Composite [GEC]: r(15) =-.70, p<.01, d=1.96). While not statistically significant, medium to large effect sizes were found for GP DH and parent-reported inattention (Behavior Assessment System for Children, Third Edition [BASC-3]-Attention Problems: r(12)=-.39, p=.17, d=.85) and hyperactivity/impulsivity (BASC-3-Hyperactivity: r(11)= -.44, p=.13, d=.98), as well as performance-based attention (Conners Continuous Performance Test, Third Edition -Omission Errors: r(12)=-.35, p=.22, d=.41), working memory (Wechsler Intelligence Scale for Children - Fifth Edition [WISC-V]-Digit Span [DS]: r(19)=.38, p=.09, d=.82) and cognitive flexibility (Delis-Kaplan Executive Function System (D-KEFS) Verbal Fluency Category Switching: r(13)=.46, p=.08, d=1.04); this suggests that these relations may exist but that our study was underpowered to detect them. Non-dominant hand (NDH) manual dexterity was related to performance-based working memory (WISC-V-DS: r(19)=.50, p<.01, d=1.12) and cognitive flexibility (D-KEFS-Trails Making Test Number-Letter Switching: r(17)=.64, p<.01, d=1.67). Again, while underpowered, medium to large effect sizes were found for GP NDH and parent-reported EF (BRIEF-2 GEC: r(15) =-.45, p=.07, d=1.01) and performance-based phonemic fluency (D-KEFS-Letter Fluency: r(13)=.31, p=.20, d=.65).
Conclusions:
Our findings suggest that FM, EF, and ADHD are related in youth with FLE; however, these relations appear to vary by skill and hand. We posit that our findings are due in part to the frontal-cerebellar networks given their anatomic proximity between frontal motor areas and the dorsolateral prefrontal cortex - as well as their shared functional involvement in these networks. Future studies should evaluate the predictive validity of initial FM skills for later executive dysfunction and ADHD symptomatology in FLE. If such relations emerge, contributions of early FM interventions on EF development should be examined. Further replication of these findings with a larger sample is warranted.
One in eight individuals worldwide lives with a mental health disorder. For many European countries, the prevalence is even higher, with one in four people reporting mental health problems [1]. Three-quarters of all mental health disorders develop before age 25, with many presenting initially in undiagnosed forms already in the mid-teens and eventually manifesting as severe disorders and lasting into old age [2]. There is also growing evidence that mental health disorder symptoms cross diagnoses and people frequently have more than one mental health disorder [3].
We determine optimal stocker strategies based on calving season, herd size, and the number of days of retention before marketing weaned calves. We estimate a hedonic pricing model for feeder cattle and incorporate this into a simulation model that considers the variability of cattle prices and feed costs. The profit and utility-maximizing decision for fall calving herd would be to retain weaned calves for 150-day postweaning. The producer marketing spring-born calves would prefer to sell these calves at weaning. The results are being utilized by extension to aid cattle producers in reducing their feed costs and increasing their profits.
Animal welfare enhancement requires that problems are reliably identified and ranked in order to prioritise corrective actions. Welfare problems vary with the conditions in which animals are maintained. The objectives were to highlight major welfare problems for dairy cows on farms in France, and find out how farm characteristics (housing and milking systems, breed) could impact specific welfare aspects on these farms. We conducted a cross-sectional survey on 131 French dairy farms. We used the Welfare Quality® protocol, which addresses all aspects of welfare, and yields scores for principles and criteria that represent how well farms meet welfare requirements (from 0 for a very adverse situation to 100 for an excellent one). We used descriptive statistics to highlight low welfare scores, and variance analyses to compare farms. Most farms were found ‘Acceptable’ according to the Welfare Quality® classification. Principles scores for Health, Feeding and Behaviour ranged from 33 to 39. The median score for eight of the welfare criteria was below 50 (‘Pain’, ‘Integument alterations’, ‘Diseases’, ‘Comfort around resting’, ‘Social behaviours’, ‘Human-animal relationship’, ‘Positive emotional state’, ‘Hunger’), while the median score was above 50 for the four other criteria (‘Thirst’, ‘Lameness’, ‘Expression of other behaviours’, ‘Ease of movement’). The scores varied widely between farms, within and between systems. Farms with cubicles obtained lower scores for ‘Comfort around resting’, ‘Injuries’; farms with Holstein cows obtained lower scores for ‘Hunger’; farms using an automatic milking system obtained lower scores for ‘Expression of other behaviours’ and ‘Diseases’ in Holstein herds. This survey yields information on bottlenecks in dairy cow welfare with all dimensions of welfare considered together. The results can be used by stakeholders to prioritise corrective actions in welfare plans, focusing either on the whole population of farms or on farms with characteristics that are at high risk for specific welfare problems.
The Welfare Quality® (WQ) protocol for on-farm dairy cattle welfare assessment describes 33 measures and a step-wise method to integrate the outcomes into 12 criteria scores, grouped into four principle scores and into an overall welfare categorisation with four possible levels. The relative contribution of various welfare measures to the integrated scores has been contested. Using a European dataset (491 herds), we investigated: i) variation in sensitivity of integrated outcomes to extremely low and high values of measures, criteria and principles by replacing each actual value with minimum and maximum observed and theoretically possible values; and ii) the reasons for this variation in sensitivity. As intended by the WQ consortium, the sensitivity of integrated scores depends on: i) the observed value of the specific measures/criteria; ii) whether the change was positive/negative; and iii) the relative weight attributed to the measures. Additionally, two unintended factors of considerable influence appear to be side-effects of the complexity of the integration method. Namely: i) the number of measures integrated into criteria and principle scores; and ii) the aggregation method of the measures. Therefore, resource-based measures related to drinkers (which have been criticised with respect to their validity to assess absence of prolonged thirst), have a much larger influence on integrated scores than health-related measures such as ‘mortality rate’ and ‘lameness score’. Hence, the integration method of the WQ protocol for dairy cattle should be revised to ensure that the relative contribution of the various welfare measures to the integrated scores more accurately reflect their relevance for dairy cattle welfare.
Social and economic inequality are chronic stressors that continually erode the mental and physical health of marginalized groups, undermining overall societal resilience. In this comprehensive review, we synthesize evidence of greater increases in mental health symptoms during the COVID-19 pandemic among socially or economically marginalized groups in the United States, including (a) people who are low income or experiencing homelessness, (b) racial and ethnic minorities, (c) women and lesbian, gay, bisexual, transgender, queer, and questioning (LGBTQ+) communities, (d) immigrants and migrants, (e) children and people with a history of childhood adversity, and (f) the socially isolated and lonely. Based on this evidence, we propose that reducing social and economic inequality would promote population mental health and societal resilience to future crises. Specifically, we propose concrete, actionable recommendations for policy, intervention, and practice that would bolster five “pillars” of societal resilience: (1) economic safety and equity, (2) accessible healthcare, including mental health services, (3) combating racial injustice and promoting respect for diversity, equity, and inclusion, (4) child and family protection services, and (5) social cohesion. Although the recent pandemic exposed and accentuated steep inequalities within our society, efforts to rebuild offer the opportunity to re-envision societal resilience and policy to reduce multiple forms of inequality for our collective benefit.
To understand barriers and facilitators to evidence-based prescribing of antibiotics in the outpatient dental setting.
Design:
Semistructured interviews.
Setting:
Outpatient dental setting.
Participants:
Dentists from 40 Veterans’ Health Administration (VA) facilities across the United States.
Methods:
Dentists were identified based on their prescribing patterns and were recruited to participate in a semistructured interview on perceptions toward prescribing. All interviews were recorded, transcribed, and double-coded for analysis, with high reliability between coders. We identified general trends using the theoretical domains framework and mapped overarching themes onto the behavior change wheel to identify prospective interventions that improve evidence-based prescribing.
Results:
In total, 90 dentists participated in our study. The following barriers and facilitators to evidence-based prescribing emerged as impacts on a dentist’s decision making on prescribing an antibiotic: access to resources, social influence of peers and other care providers, clinical judgment, beliefs about consequences, local features of the clinic setting, and beliefs about capabilities.
Conclusions:
Findings from this work reveal the need to increase awareness of up-to-date antibiotic prescribing behaviors in dentistry and may inform the best antimicrobial stewardship interventions to support dentists’ ongoing professional development and improve evidence-based prescribing.
This study determines which factors are associated with the use of rotational grazing and the frequency with which Tennessee producers rotate cattle during the summer months. Survey data were used to estimate an ordered response model with sample selection. Most respondents used rotational grazing, and the most frequent rotational schedule was rotating cattle one to two times per month. Factors including labor, capital, knowledge, and water availability influenced the use of rotational grazing and the frequency of rotating cattle. The insights from this study can inform the development of incentives to promote more intensive use of rotational grazing.
To evaluate opportunities for assessing penicillin allergies among patients presenting to dental clinics.
Design:
Retrospective cross-sectional study.
Setting:
VA dental clinics.
Patients:
Adult patients with a documented penicillin allergy who received an antibiotic from a dentist between January 1, 2015, and December 31, 2018, were included.
Methods:
Chart reviews were completed on random samples of 100 patients who received a noncephalosporin antibiotic and 200 patients who received a cephalosporin. Each allergy was categorized by severity. These categories were used to determine patient eligibility for 3 testing groups based on peer-reviewed algorithms: (1) no testing, (2) skin testing, and (3) oral test-dose challenge. Descriptive and bivariate statistics were used to compare facility and patient demographics first between true penicillin allergy, pseudo penicillin allergy, and missing allergy documentation, and between those who received a cephalosporin and those who did not at the dental visit.
Results:
Overall, 19% lacked documentation of the nature of allergic reaction, 53% were eligible for skin testing, 27% were eligible for an oral test-dose challenge, and 1% were contraindicated from testing. Male patients and African American patients were less likely to receive a cephalosporin.
Conclusions:
Most penicillin-allergic patients in the VA receiving an antibiotic from a dentist are eligible for penicillin skin testing or an oral penicillin challenge. Further research is needed to understand the role of dentists and dental clinics in assessing penicillin allergies.
Housing First (HF), a recovery-oriented approach, was proven effective in stabilising housing situations of homeless individuals with severe mental disorders, yet had limited effectiveness on recovery outcomes on a short-term basis compared to standard treatment. The objective was to assess the effects of the HF model among homeless people with high support needs for mental and physical health services on recovery, housing stability, quality of life, health care use, mental symptoms and addiction issues on 4 years of data from the Un Chez Soi d'Abord trial.
Methods
A multicentre randomised controlled trial was conducted from August 2011 to April 2018 with intent-to-treat analysis in four French cities: Lille, Marseille, Paris and Toulouse. Participants were homeless or precariously-housed patients with a DSM-IV-TR diagnosis of bipolar disorder or schizophrenia. Two groups were compared: the HF group (n = 353) had immediate access to independent housing and support from the assertive community treatment team; the Treatment-As-Usual (TAU) group (n = 350) had access to existing support and services. Main outcomes were personal recovery (Recovery Assessment Scale (RAS) scale), housing stability, quality of life (S-QoL), global physical and mental status (Medical Outcomes Study 36-item Short Form Health Survey (SF-36)), inpatient days, mental symptoms (Modified Colorado Symptom Index (MCSI)) and addictions (Mini International Neuropsychiatric Interview (MINI) and Alcohol Use Disorders Identification Test (AUDIT)). Mixed models using longitudinal and cluster designs were performed and adjusted to first age on the street, gender and mental disorder diagnosis. Models were tested for time × group and site × time interactions.
Results
The 703 participants [123 (18%) female] had a mean age of 39 years (95% CI 38.0–39.5 years). Both groups improved RAS index from baseline to 48 months, with no statistically significant changes found between the HF and TAU groups over time. HF patients exhibited better autonomy (adjusted β = 2.6, 95% CI 1.2–4.1) and sentimental life (2.3, 95% CI 0.5–4.1), higher housing stability (28.6, 95% CI 25.1–32.1), lower inpatient days (−3.14, 95% CI −5.2 to −1.1) and improved SF-36 mental composite score (−0.8, 95% CI −1.6 to −0.1) over the 4-year follow-up. HF participants experienced higher alcohol consumption between baseline and 48 months. No significant differences were observed for self-reported mental symptoms or substance dependence.
Conclusion
Data at 4 years were consistent with 2-year follow-up data: similar improvement in personal recovery outcomes but higher housing stability, autonomy and lower use of hospital services in the HF group compared to the TAU group, with the exception of an ongoing alcohol issue. These sustained benefits support HF as a valuable intervention for the homeless patients with severe mental illness.
As humans have spread across the globe, travel and trade have deliberately or inadvertently carried and released animals and plants as well as microbes into new geographies. With human populations concentrated along rivers and coasts, it is not surprising that many exotic species have been released in coastal areas and a few can survive and thrive, especially in habitats similar to those where they evolved. In tidal marshes, organisms experience some of the most extreme physical conditions on earth: temperatures from −20 to 40°C, flooding twice a day but only a few times a month at higher elevations, sediments ranging from oxidized to severely reduced (Eh of +700 to −300 mV), soil salinity from hypersaline (40–90 ppt) to fresh depending on floodwater source and precipitation, and erosive forces from waves, currents, and ice at higher latitudes. Despite these harsh and variable conditions, there are many organisms adapted to tidal marshes, and new introductions and hybrids that can thrive given the opportunity.
The morphological and ecological diversity of lemurs and lorisiformes once rivaled that of the rest of the primate order. Here, we assemble a dataset of 3D models representing the second mandibular molars of a wide range of extant and fossil strepsirrhines encompassing this diversity. We use these models to distill quantitative descriptors of tooth form and then analyze these data using new analytical methods. We employ a recently developed dental topography metric (ariaDNE), which is less sensitive to details of random error in 3D model quality than previously used metrics (e.g., DNE); Bayesian multinomial modeling with metrics designed to measure overfitting risk; and a tooth segmentation algorithm that allows the shapes of disaggregated tooth surface features to be quantified using dental topography metrics. This approach is successful at reclassifying extant strepsirrhine primates to known dietary ecology and indicates that the averaging of morphological information across the tooth surface does not interfere with the ability of dental topography metrics to predict dietary adaptation. When the most informative combination of dental topography metrics is applied to extinct species, many subfossil lemurs and the most basal fossil strepsirrhines are predicted to have been primarily frugivorous or gummivorous. This supports an ecological contraction among the extant lemurs and the importance of frugivory in the origins of crown Strepsirrhini, potentially to avoid competition with more insectivorous and folivorous members of Paleogene Afro-Arabian primate faunas.
Interpreting the impact of climate change on vertebrates in the fossil record can be complicated by the effects of potential biotic drivers on morphological patterns observed in taxa. One promising area where this impact can be assessed is a high-resolution terrestrial record from the Bighorn Basin, Wyoming, that corresponds to the Paleocene–Eocene thermal maximum (PETM), a geologically rapid (~170 kyr) interval of sustained temperature and aridity shifts about 56 Ma. The PETM has been extensively studied, but different lines of research have not yet been brought together to compare the timing of shifts in abiotic drivers that include temperature and aridity proxies and those of biotic drivers, measured through changes in floral and faunal assemblages, to the timing of morphological change within mammalian species lineages. We used a suite of morphometric tools to document morphological changes in molar crown morphology of three lineages of stem erinaceid eulipotyphlans. We then compared the timing of morphological change to that of both abiotic and other biotic records through the PETM. In all three species lineages, we failed to recover any significant changes in tooth crown shape or size within the PETM. These results contrast with those documented previously for lineages of medium-sized mammals, which show significant dwarfing within the PETM. Our results suggest that biotic drivers such as shifts in community composition may have also played an important role in shaping species-level patterns during this dynamic interval in Earth history.
Many people who are homeless with severe mental illnesses are high users of healthcare services and social services, without reducing widen health inequalities in this vulnerable population. This study aimed to determine whether independent housing with mental health support teams with a recovery-oriented approach (Housing First (HF) program) for people who are homeless with severe mental disorders improves hospital and emergency department use.
Methods
We did a randomised controlled trial in four French cities: Lille, Marseille, Paris and Toulouse. Participants were eligible if they were 18 years or older, being absolutely homeless or precariously housed, with a diagnosis of schizophrenia (SCZ) or bipolar disorder (BD) and were required to have a high level of needs (moderate-to-severe disability and past hospitalisations over the last 5 years or comorbid alcohol or substance use disorder). Participants were randomly assigned (1:1) to immediate access to independent housing and support from the Assertive Community Treatment team (social worker, nurse, doctor, psychiatrist and peer worker) (HF group) or treatment as usual (TAU group) namely pre-existing dedicated homeless-targeted programs and services. Participants and interviewers were unmasked to assignment. The primary outcomes were the number of emergency department (ED) visits, hospitalisation admissions and inpatient days at 24 months. Secondary outcomes were recovery (Recovery Assessment Scale), quality of life (SQOL and SF36), mental health symptoms, addiction issues, stably housed days and cost savings from a societal perspective. Intention-to-treat analysis was performed.
Results
Eligible patients were randomly assigned to the HF group (n = 353) or TAU group (n = 350). No differences were found in the number of hospital admissions (relative risk (95% CI), 0.96 (0.76–1.21)) or ED visits (0.89 (0.66–1.21)). Significantly less inpatient days were found for HF v. TAU (0.62 (0.48–0.80)). The HF group exhibited higher housing stability (difference in slope, 116 (103–128)) and higher scores for sub-dimensions of S-QOL scale (psychological well-being and autonomy). No differences were found for physical composite score SF36, mental health symptoms and rates of alcohol or substance dependence. Mean difference in costs was €-217 per patient over 24 months in favour of the HF group. HF was associated with cost savings in healthcare costs (RR 0.62(0.48–0.78)) and residential costs (0.07 (0.05–0.11)).
Conclusion
An immediate access to independent housing and support from a mental health team resulted in decreased inpatient days, higher housing stability and cost savings in homeless persons with SCZ or BP disorders.
The aim of this work was to identify factors associated with homelessness status in patients admitted to the psychiatric emergency ward of a French public teaching hospital over the 6-year study period (2001-2006).
Methods
The study was based on a retrospective review of the psychiatric emergency ward's administrative and medical computer databases. Each emergency care episode had accompanying data including demographic, financial, clinical, and management information.
Results
During this 6-year study, the psychiatric service recorded 16,754 care episodes concerning 8,860 different patients, of which 591 were homeless (6.7%) and 8,269 were non-homeless (93.3%). The mean ± SD number of visits to the psychiatric emergency service was higher for homeless (4.9±12.3) than for non-homeless patients (1.7±2.4) (p< .001). A total of 331 homeless patients (56%) had more than one care episode, versus 2,180 (26%) for non-homeless patients. Factors associated with homelessness included male sex, single status, and the reception of social financial assistance. Schizophrenia (43.7%) and substance use disorders (31.0%) were the most frequent disorders in homeless patients. Aggressive behaviour and violence were reported equally in homeless and non-homeless patients. Homeless patients were hospitalized less often after having received care in the emergency ward.
Conclusion
Although there is near-universal access to free mental health care in France, our findings suggest that the quality and adequacy of subsequent care were not always guaranteed. Multidisciplinary and collaborative solutions are needed to improve the management of homeless patients.
To assess the temporal stability of the French version of the Composite Scale of Morningness (CSM), and to replicate our previous findings in an independent sample in order to confirm the good internal properties of this instrument.
Methods
Sixty nursing students (11 males and 49 females) filled out the Composite Scale of Morningness on two occasions over a 13-month period.
Results
The scale's reliability is high: Cronbach's α = 0.874 in males and 0.904 in females. The CSM total scores are normally distributed and independent of gender. They do not differ between occasions, and are highly correlated: r = +0.885 in males and r = +0.930 in females.
Conclusions
The French version of the CSM is stable over time and psychometrically reliable. These are the characteristics of a personality trait. Further studies should explore its personality, biological and genetic correlates.
This study aims to validate a self-administered, multidimensional QoL instrument based on the point of view of caregivers of individuals with schizophrenia.
Methods
Data were collected through the departments of six psychiatric hospitals in France (n = 246). The item reduction and validation processes were based on both item response theory and classical test theory.
Results
The S-CGQoL contains 25 items describing seven dimensions (Psychological and Physical Well-Being; Psychological Burden and Daily Life; Relationships with Spouse; Relationships with Psychiatric Team; Relationships with Family; Relationships with Friends; and Material Burden). The seven-factor structure accounted for 74.4% of the total variance. Internal consistency was satisfactory; Cronbach's alpha coefficients ranged from 0.79 to 0.92 in the whole sample. The scalability was satisfactory, with INFIT statistics falling within an acceptable range. In addition, the results confirmed the absence of DIF and supported the invariance of the item calibrations.
Conclusion
The S-CGQoL is a self-administered QoL instrument that presents satisfactory psychometric properties and can be completed in 5 min, thereby fulfilling the goal of brevity sought in research and clinical practice.