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Temporal network data is often encoded as time-stamped interaction events between senders and receivers, such as co-authoring scientific articles or communication via email. A number of relational event frameworks have been proposed to address specific issues raised by complex temporal dependencies. These models attempt to quantify how individual behaviour, endogenous and exogenous factors, as well as interactions with other individuals modify the network dynamics over time. It is often of interest to determine whether changes in the network can be attributed to endogenous mechanisms reflecting natural relational tendencies, such as reciprocity or triadic effects. The propensity to form or receive ties can also, at least partially, be related to actor attributes. Nodal heterogeneity in the network is often modelled by including actor-specific or dyadic covariates. However, comprehensively capturing all personality traits is difficult in practice, if not impossible. A failure to account for heterogeneity may confound the substantive effect of key variables of interest. This work shows that failing to account for node level sender and receiver effects can induce ghost triadic effects. We propose a random-effect extension of the relational event model to deal with these problems. We show that it is often effective over more traditional approaches, such as in-degree and out-degree statistics. These results that the violation of the hierarchy principle due to insufficient information about nodal heterogeneity can be resolved by including random effects in the relational event model as a standard.
The introduction of intellectual property standards under the 1995 WTO TRIPS Agreement aimed to facilitate secure cross-border knowledge transfer. Standardized international patent data available to policymakers and managers can trace specific knowledge flows, for example those that occur frequently via mergers and acquisitions. Mergers shape current as well as future knowledge flows, for example by inter alia affecting the incentives and capabilities to innovate. Regulatory authorities in Europe have begun to examine these merger-related impacts on future knowledge flows to prevent potentially negative effects on consumers. One of the key challenges is how to measure these knowledge flows more accurately to make better decisions on important mergers. This chapter reviews an actual application of such a merger-related analysis of future knowledge flows: the European Commission’s approval decision of the Dow/DuPont merger. It shows how to measure relevant knowledge flows by means of novel patent analytics, moving beyond conventional patent indicators. In addition, it presents patent analytics using these novel patent measures to depict other potential analyses tracing and assessing knowledge flows in different contexts. It also shows where new knowledge has originated and how it has spread to other geographical regions. Countries are clearly interdependent when it comes to knowledge flows. It demonstrates how policymakers and managers can use future-oriented, quantitative patent analytics to improve policy decisions related to cross-border knowledge flows and innovation.
Patients with schizophrenia have a four-fold increased all-cause and a doubled cardiovascular mortality rate as compared to the general population.
Objectives
The study overall investigates the point-prevalence and prospective changes in cardiovascular risk factors in patients with schizophrenia, with baseline demographics of participants presented here.
Methods
A prospective study of patients diagnosed with schizophrenia divided into two subpopulations consisting of newly diagnosed (≤2 years from baseline in study (group A)) or chronic (diagnosed ≥10 years from baseline in study (group B)).
Results
A total of 199 patients (57 diagnosed ≤2 years preceding baseline and 142 diagnosed ≥10 years ago) were included. Group A had been diagnosed for an average of 1.13±0.58 years and 21.19±7.62 years in group B. The majority (n=135 (67.8%)) were diagnosed with paranoid schizophrenia. At baseline PANSS total (median[Q1;Q3]) for group A was 61.0[51.0;76.0] and 60.0[48.0;76.0] for group B, with PANNS Positive being 17.0[13.0;20.0] and 15.0[12;19], PANSS Negative being 16.0[11.0;20.0] and 14.5[10.0;20.0], and PANSS General being 28.0[22.0;35.0] and30.0 [25.0;37.0], respectively. No difference in Clinical Global Impression was observed between groups ((median[Q1;Q3): 4.0[3.0;4.0] in both groups). Lastly, global assessment of function was similar between groups ((median[Q1;Q3): group A symptom: 38.5[37.0;46.0] and group B 41.0[37.0;52.0], and with function being 48.0[44.5;53.5] in group A and 45.5[41.0;53.0] in group B).
Conclusions
Prospective studies investigating prevalence of and prospective changes in cardiovascular risk in patients with schizophrenia are essential to understand the increased all-cause and cardiovascular specific mortality. Demographic descriptions of participants are essential to estimate generalizability in different treatment settings.
Patients with schizophrenia have a reduced life expectancy compared to the general population, and cardiovascular diseases contribute to this. Peripheral arterial disease (PAD) is associated with excess all-cause mortality and specifically with cardiovascular morbidity and mortality. The risk factors for PAD, such as diabetes, smoking, hypertension, dyslipidaemia and obesity, are more common among patients with schizophrenia which could contribute to a possibly higher prevalence of PAD among patients with schizophrenia.
Objectives
To investigate PAD utilizing toe brachial index (TBI) in a population of patients diagnosed with schizophrenia with the purpose of establishing prevalence rates amongst newly diagnosed as well as more chronic patients.
Methods
A cross-sectional study of patients with schizophrenia (ICD10-diagnosis F20 or F25) with a study population of 57 patients diagnosed with schizophrenia within the last 2 years, psychiatric healthy controls matched by age, sex and smoking status and 142 patients with a schizophrenia diagnosis more than 10 years ago. The primary outcome is TBI in patients with schizophrenia stratified to the two subpopulations. The TBI will be calculated from the arm and toe systolic pressures. The toe pressures were measured using photoplethysmography (SysToe®, Atys Medical).
Results
No results are available yet. The cohort will be described by age, sex, smoking status, body fat percentage and physical comorbidities. The TBI of the two subpopulations will be compared with psychiatrically healthy controls using paired t-tests if data is normally distributed. If transformation is unsuitable, Wilcoxon test will be carried out instead.
Conclusions
No results are available yet. Results will be presented at the EPA’s congress 2021.
Person-centred care requires improved documentation of nursing home resident wellbeing, e.g. by nursing staff proxy assessments. Previous studies mainly focused on proxy self-report agreement of quality of life of people with dementia, using lengthy questionnaires. This is the first study to investigate how well nursing staff assess residents’ wellbeing after training, using a single-question assessment method of happiness and engagement. We conducted a cross-sectional mixed-method study, including proxy assessments from 49 nursing staff, and self-reports from 49 nursing home residents without dementia (mean age 85). We explored agreement between colleagues, and between proxy assessments and self-reports, and potential nursing staff characteristics associated to this (age, experience, hours worked per week). Brief written motivations were evaluated on nursing staffs’ understanding of the happiness and engagement concepts. The results showed low agreement between colleagues, and low agreement between proxy assessments and self-reports. Nursing staff assessed happiness and engagement substantially higher than residents’ self-reports. Hours worked per week was related to happiness proxy assessments, but none of the included nursing staff characteristics were related to proxy self-report agreement. Nursing staff interpreted the concepts in diverse ways. Overestimating resident wellbeing when using this single-assessment method may undermine subsequent efforts to improve wellbeing. We could not identify which nursing staff could best provide wellbeing assessments. For now, proxy wellbeing assessments should always be combined with regular self-reports whenever possible.
Virus outbreaks such as the current SARS-CoV-2 pandemic are challenging for health care workers (HCWs), affecting their workload and their mental health. Since both, workload and HCW's well-being are related to the quality of care, continuous monitoring of working hours and indicators of mental health in HCWs is of relevance during the current pandemic. The existing investigations, however, have been limited to a single study period. We examined changes in working hours and mental health in Swiss HCWs at the height of the pandemic (T1) and again after its flattening (T2).
Methods
We conducted two cross-sectional online studies among Swiss HCWs assessing working hours, depression, anxiety, and burnout. From each study, 812 demographics-matched participants were included into the analysis. Working hours and mental health were compared between the two samples.
Results
Compared to prior to the pandemic, the share of participants working less hours was the same in both samples, whereas the share of those working more hours was lower in the T2 sample. The level of depression did not differ between the samples. In the T2 sample, participants reported more anxiety, however, this difference was below the minimal clinically important difference. Levels of burnout were slightly higher in the T2 sample.
Conclusions
Two weeks after the health care system started to transition back to normal operations, HCWs' working hours still differed from their regular hours in non-pandemic times. Overall anxiety and depression among HCWs did not change substantially over the course of the current SARS-CoV-2 pandemic.
Anorexia nervosa (AN) and bulimia nervosa (BN) are complex psychiatric conditions, in which both psychological and metabolic factors have been implicated. Critically, the experience of stress can precipitate loss-of-control eating in both conditions, suggesting an interplay between mental state and metabolic signaling. However, associations between psychological states, symptoms and metabolic processes in AN and BN have not been examined.
Methods
Eighty-five women (n = 22 AN binge/purge subtype, n = 33 BN, n = 30 controls) underwent remote salivary cortisol sampling and a 2-day, inpatient study session to examine the effect of stress on cortisol, gut hormones [acyl-ghrelin, peptide tyrosine tyrosine (PYY) and glucagon-like peptide-1] and food consumption. Participants were randomized to either an acute stress induction or control task on each day, and plasma hormones were serially measured before a naturalistic, ad libitum meal.
Results
Cortisol-awakening response was augmented in AN but not in BN relative to controls, with body mass index explaining the most variance in post-awakening cortisol (36%). Acute stress increased acyl-ghrelin and PYY in AN compared to controls; however, stress did not alter gut hormone profiles in BN. Instead, a group-by-stress interaction showed nominally reduced cortisol reactivity in BN, but not in AN, compared to controls. Ad libitum consumption was lower in both patient groups and unaffected by stress.
Conclusions
Findings extend previous reports of metabolic dysfunction in binge-eating disorders, identifying unique associations across disorders and under stress. Moreover, we observed disrupted homeostatic signaling in AN following psychological stress, which may explain, in part, the maintenance of dysregulated eating in this serious illness.
To examine the impact of Nutrition for Life (NFL), a goal-setting nutrition education program, on the knowledge, self-efficacy and behaviour of adults eligible for Supplemental Nutrition Assistance Program-Education.
Design:
NFL was developed using a 4-week goal-setting behavioural strategy focused on nutrition, physical activity and meal planning techniques. A quantitative repeated-measures design using self-reported data was collected at pre- and post-interventions and at 1-week and 1-month follow-ups.
Setting:
Two Federally Qualified Health Centers in Philadelphia, PA, USA.
Participants:
A total of ninety-eight participants enrolled in the intervention; the majority were women (80·2 %), Black/Non-Hispanic (75·0 %) and 45–54 year old (39·6 %).
Results:
Participants showed significant improvement in knowledge, self-efficacy and behaviour. Specifically, mean daily intake for vegetables increased by 0·31 cup (P < 0·05) and for fruits by 0·39 cup (P < 0·01) at 1-week follow-up. Participants also showed healthier behaviour at 1-month follow-up. Planning at least seven meals per week increased from 14·8 to 50 % (P < 0·01), completing at least 30 min of physical activity every day in the last week increased from 16·7 to 36 % (P < 0·01) and consuming water with all meals increased from 39 to 70·6 % (P < 0·01).
Conclusions:
The implementation of a goal-oriented nutrition education program offers a promising approach at achieving positive behaviour change among SNAP-eligible adults.
Neurotoxic effects of alcohol consumption are well-known. There is plenty of literature on frontal lobe impairment on the behavioral and structural brain imaging level. However, only few functional imaging studies investigated altered neural patterns and even less abstinence-related neural recovery. Here, we investigated if frontal lobe activity tends to normalize in patients that remain successfully abstinent.
Methods
In a cross-sectional design three patient groups (acute withdrawal, detoxified, abstinent) and healthy controls (each n = 20) performed a phonological and semantical verbal fluency task (VFT) while brain activity was measured with near-infrared spectroscopy (NIRS).
Results
First, for the phonological condition patients in the acute withdrawal phase and also detoxified patients showed less fluency-related frontal lobe activation compared to controls despite equal performance. Second, significant linear trend effects from withdrawal patients over detoxified and abstinent patients up to healthy controls indicated more normal activation patterns in the abstinent group that did not differ from the controls. In the detoxified group brain activation increased with time since detoxification.
Conclusions
Our results support the assumption of an increase in frontal brain activity from alcohol dependency over abstinence up to normal functioning. Longitudinal studies are needed to further elucidate recovery processes in alcohol dependency.
To prove the hypothesis of a common defect in the central nervous system and immune system in patients with major depression, we examined the inhibition of phytohemagglutinin (PHA)-induced lymphocyte proliferation by in vitro and in vivo administration of glucocorticoids in 20 patients with major depression. The patients were divided into two groups according to the results of the dexamethasone suppression test (DST). Six patients showed cortisol non-suppression. They had significantly higher baseline plasma cortisol levels in comparison with cortisol suppressors. The lymphocytes from cortisol non-suppressors were significantly stronger inhibited by in vitro administration of glucocorticoids compared to the lymphocytes from cortisol suppressors. However, there were no significant differences of lymphocyte inhibition by in vivo administration of glucocorticoids between both patient groups. From our results we conclude that cortisol non-suppressors reveal impaired down-regulation of glucocorticoid receptors of lymphocytes. Furthermore, the effect of glucocorticoids on lymphocyte reactivity may reflect the effects on brain structures in patients with major depression.
Large multigenerational cohort studies offer powerful ways to study the hereditary effects on various health outcomes. However, accounting for complex kinship relations in big data structures can be methodologically challenging. The traditional kinship model is computationally infeasible when considering thousands of individuals. In this article, we propose a computationally efficient alternative that employs fractional relatedness of family members through a series of founding members. The primary goal of this study is to investigate whether the effect of determinants on health outcome variables differs with and without accounting for family structure. We compare a fixed-effects model without familial effects with several variance components models that account for heritability and shared environment structure. Our secondary goal is to apply the fractional relatedness model in a realistic setting. Lifelines is a three-generation cohort study investigating the biological, behavioral, and environmental determinants of healthy aging. We analyzed a sample of 89,353 participants from 32,452 reconstructed families. Our primary conclusion is that the effect of determinants on health outcome variables does not differ with and without accounting for family structure. However, accounting for family structure through fractional relatedness allows for estimating heritability in a computationally efficient way, showing some interesting differences between physical and mental quality of life heritability. We have shown through simulations that the proposed fractional relatedness model performs better than the standard kinship model, not only in terms of computational time and convenience of fitting using standard functions in R, but also in terms of bias of heritability estimates and coverage.
A new species of the Paleozoic bryozoan genus Ptilotrypa of the order Cryptostomata is described from the lower part of the Yong Limestone Formation, Katian, Upper Ordovician of the Kumaun Tethys Himalaya: Ptilotrypa bajpaii new species. The presence of the genus Ptilotrypa in the Tethyan Himalaya suggests paleogeographic connections to the Upper Ordovician of North America and, consequently, Upper Ordovician age for the lower part of the Yong Limestone Formation. This species displays a reticulate colony shape, which suggests an efficient filtering capacity in an environment with a high primary production. Morphological peculiarities and systematic assignment of the genus Ptilotrypa are discussed.
Generalized anxiety disorder (GAD) and social anxiety disorder (SAD) are co-morbid and associated with similar neural disruptions during emotion regulation. In contrast, the lack of optimism examined here may be specific to GAD and could prove an important biomarker for that disorder.
Method
Unmedicated individuals with GAD (n = 18) and age-, intelligence quotient- and gender-matched SAD (n = 18) and healthy (n = 18) comparison individuals were scanned while contemplating likelihoods of high- and low-impact negative (e.g. heart attack; heartburn) or positive (e.g. winning lottery; hug) events occurring to themselves in the future.
Results
As expected, healthy subjects showed significant optimistic bias (OB); they considered themselves significantly less likely to experience future negative but significantly more likely to experience future positive events relative to others (p < 0.001). This was also seen in SAD, albeit at trend level for positive events (p < 0.001 and p < 0.10, respectively). However, GAD patients showed no OB for positive events (t17 = 0.82, n.s.) and showed significantly reduced neural modulation relative to the two other groups of regions including the medial prefrontal cortex (mPFC) and caudate to these events (p < 0.001 for all). The GAD group further differed from the other groups by showing increased neural responses to low-impact events in regions including the rostral mPFC (p < 0.05 for both).
Conclusions
The neural dysfunction identified here may represent a unique feature associated with reduced optimism and increased worry about everyday events in GAD. Consistent with this possibility, patients with SAD did not show such dysfunction. Future studies should consider if this dysfunction represents a biomarker for GAD.
Laboratory tasks to delineate anxiety disorder features are used to refine classification and inform our understanding of etiological mechanisms. The present study examines laboratory measures of response inhibition, specifically the inhibition of a pre-potent motor response, in clinical anxiety. Data on associations between anxiety and response inhibition remain inconsistent, perhaps because of dissociable effects of clinical anxiety and experimentally manipulated state anxiety. Few studies directly assess the independent and interacting effects of these two anxiety types (state v. disorder) on response inhibition. The current study accomplished this goal, by manipulating state anxiety in healthy and clinically anxious individuals while they complete a response inhibition task.
Method
The study employs the threat-of-shock paradigm, one of the best-established manipulations for robustly increasing state anxiety. Participants included 82 adults (41 healthy; 41 patients with an anxiety disorder). A go/nogo task with highly frequent go trials was administered during alternating periods of safety and shock threat. Signal detection theory was used to quantify response bias and signal-detection sensitivity.
Results
There were independent effects of anxiety and clinical anxiety on response inhibition. In both groups, heightened anxiety facilitated response inhibition, leading to reduced nogo commission errors. Compared with the healthy group, clinical anxiety was associated with excessive response inhibition and increased go omission errors in both the safe and threat conditions.
Conclusions
Response inhibition and its impact on go omission errors appear to be a promising behavioral marker of clinical anxiety. These results have implications for a dimensional view of clinical anxiety.
Bioprospecting is the search for valuable products from natural sources. Given that most species are poorly known, a key question is where to search. Ethnodirected bioprospecting approaches use traditional knowledge in the process of selecting plants to screen for desired properties. A complementary approach is to utilize phylogenetic analyses based on traditional uses or known chemistry to identify lineages in which desired properties are most likely to be found. Novel discoveries of plant bioactivity from these approaches can aid the development of treatments for diseases with unmet medical needs. For example, neurological disorders are a growing concern, and psychoactive plants used in traditional medicine may provide botanical sources for bioactivity relevant for treating diseases related to the brain and nervous system. However, no systematic study has explored the diversity and phylogenetic distribution of psychoactive plants. We compiled a database of 501 psychoactive plant species and their properties from published sources. We mapped these plant attributes on a phylogenetic tree of all land plant genera and showed that psychoactive properties are not randomly distributed on the phylogeny of land plants; instead certain plant lineages show overabundance of psychoactive properties. Furthermore, employing a ‘hot nodes’ approach to identify these lineages, we can narrow down our search for novel psychoactive plants to 8.5% of all plant genera for psychoactivity in general and 1–4% for specific categories of psychoactivity investigated. Our results showcase the potential of using a phylogenetic approach to bioprospect plants for psychoactivity and can serve as foundation for future investigations.
Social anxiety disorder involves fear of social objects or situations. Social referencing may play an important role in the acquisition of this fear and could be a key determinant in future biomarkers and treatment pathways. However, the neural underpinnings mediating such learning in social anxiety are unknown. Using event-related functional magnetic resonance imaging, we examined social reference learning in social anxiety disorder. Specifically, would patients with the disorder show increased amygdala activity during social reference learning, and further, following social reference learning, show particularly increased response to objects associated with other people's negative reactions?
Method
A total of 32 unmedicated patients with social anxiety disorder and 22 age-, intelligence quotient- and gender-matched healthy individuals responded to objects that had become associated with others’ fearful, angry, happy or neutral reactions.
Results
During the social reference learning phase, a significant group × social context interaction revealed that, relative to the comparison group, the social anxiety group showed a significantly greater response in the amygdala, as well as rostral, dorsomedial and lateral frontal and parietal cortices during the social, relative to non-social, referencing trials. In addition, during the object test phase, relative to the comparison group, the social anxiety group showed increased bilateral amygdala activation to objects associated with others’ fearful reactions, and a trend towards decreased amygdala activation to objects associated with others’ happy and neutral reactions.
Conclusions
These results suggest perturbed observational learning in social anxiety disorder. In addition, they further implicate the amygdala and dorsomedial prefrontal cortex in the disorder, and underscore their importance in future biomarker developments.
Major questions remain regarding the dysfunctional neural circuitry underlying the pathophysiology of bipolar disorder (BD) in both youths and adults. In both age groups, studies implicate abnormal intrinsic functional connectivity among prefrontal, limbic and striatal areas.
Method
We collected resting-state functional magnetic resonance imaging (fMRI) data from youths and adults (ages 10–50 years) with BD (n = 39) and healthy volunteers (HV; n = 78). We identified brain regions with aberrant intrinsic functional connectivity in BD by first comparing voxel-wise mean global connectivity and then conducting correlation analyses. We used k-means clustering and multidimensional scaling to organize all detected regions into networks.
Results
Across the brain, we detected areas of dysconnectivity in both youths and adults with BD relative to HV. There were no significant age-group × diagnosis interactions. When organized by interregional connectivity, the areas of dysconnectivity in patients with BD comprised two networks: one of temporal and parietal areas involved in late stages of visual processing, and one of corticostriatal areas involved in attention, cognitive control and response generation.
Conclusions
These data suggest that two networks show abnormal intrinsic functional connectivity in BD. Regions in these networks have been implicated previously in BD. We observed similar dysconnectivity in youths and adults with BD. These findings provide guidance for refining models of network-based dysfunction in BD.
The aim of the present study was to validate figural drawing scales depicting extremely lean to extremely obese subjects to obtain proxies for BMI and waist circumference in postal surveys.
Design
Reported figural scales and anthropometric data from a large population-based postal survey were validated with measured anthropometric data from the same individuals by means of receiver-operating characteristic curves and a BMI prediction model.
Setting
Adult participants in a Scandinavian cohort study first recruited in 1990 and followed up twice since.
Subjects
Individuals aged 38–66 years with complete data for BMI (n 1580) and waist circumference (n 1017).
Results
Median BMI and waist circumference increased exponentially with increasing figural scales. Receiver-operating characteristic curve analyses showed a high predictive ability to identify individuals with BMI > 25·0 kg/m2 in both sexes. The optimal figural scales for identifying overweight or obese individuals with a correct detection rate were 4 and 5 in women, and 5 and 6 in men, respectively. The prediction model explained 74 % of the variance among women and 62 % among men. Predicted BMI differed only marginally from objectively measured BMI.
Conclusions
Figural drawing scales explained a large part of the anthropometric variance in this population and showed a high predictive ability for identifying overweight/obese subjects. These figural scales can be used with confidence as proxies of BMI and waist circumference in settings where objective measures are not feasible.