Prevalence of social phobia in a clinical sample of drug dependent patients.

INTRODUCTION: Social phobia is among the most frequent psychiatric disorders and can be classified into two subtypes, nongeneralized and generalized. Whereas it significantly worsens the morbidity of comorbid substance abuse disorders, and it often is associated with reduced treatment responses, there is still lacking data on its prevalence in clinical populations of drug abusing patients. METHODS: The study sample consisted of 75 inpatients and 75 outpatients meeting DSM-IV criteria for drug dependence. Symptoms of social phobia were assessed with the French-language version of the Liebowitz Social Anxiety Scale (LSAS). RESULTS: Prevalence rate were 20% for the generalized subtype and 42.6% for the nongeneralized subtype. Gender difference emerged in the severity of fear, women reporting significantly greater fear relating to performance situations than men. CONCLUSIONS: An important proportion of patients with substance dependence present a comorbid generalized or nongeneralized social phobia. Early recognition of social phobia and adequate interventions is warranted for these patients in order to improve their treatment response with regard to quality of life and relapse prevention.

Role of genetic and social factors in modulating the efficiency of division of labour in social insects

Summary : Division of labour is one of the most fascinating aspects of social insects. The efficient allocation of individuals to a multitude of different tasks requires a dynamic adjustment in response to the demands of a changing environment. A considerable number of theoretical models have focussed on identifying the mechanisms allowing colonies to perform efficient task allocation. The large majority of these models are built on the observation that individuals in a colony vary in their propensity (response threshold) to perform different tasks. Since individuals with a low threshold for a given task stimulus are more likely to perform that task than individuals with a high threshold, infra-colony variation in individual thresholds results in colony division of labour. These theoretical models suggest that variation in individual thresholds is affected by the within-colony genetic diversity. However, the models have not considered the genetic architecture underlying the individual response thresholds. This is important because a better understanding of division of labour requires determining how genotypic variation relates to differences in infra-colony response threshold distributions. In this thesis, we investigated the combined influence on task allocation efficiency of both, the within-colony genetic variability (stemming from variation in the number of matings by queens) and the number of genes underlying the response thresholds. We used an agent-based simulator to model a situation where workers in a colony had to perform either a regulatory task (where the amount of a given food item in the colony had to be maintained within predefined bounds) or a foraging task (where the quantity of a second type of food item collected had to be the highest possible). The performance of colonies was a function of workers being able to perform both tasks efficiently. To study the effect of within-colony genetic diversity, we compared the performance of colonies with queens mated with varying number of males. On the other hand, the influence of genetic architecture was investigated by varying the number of loci underlying the response threshold of the foraging and regulatory tasks. Artificial evolution was used to evolve the allelic values underlying the tasks thresholds. The results revealed that multiple matings always translated into higher colony performance, whatever the number of loci encoding the thresholds of the regulatory and foraging tasks. However, the beneficial effect of additional matings was particularly important when the genetic architecture of queens comprised one or few genes for the foraging task's threshold. By contrast, higher number of genes encoding the foraging task reduced colony performance with the detrimental effect being stronger when queens had mated with several males. Finally, the number of genes determining the threshold for the regulatory task only had a minor but incremental effect on colony performance. Overall, our numerical experiments indicate the importance of considering the effects of queen mating frequency, genetic architecture underlying task thresholds and the type of task performed when investigating the factors regulating the efficiency of division of labour in social insects. In this thesis we also investigate the task allocation efficiency of response threshold models and compare them with neural networks. While response threshold models are widely used amongst theoretical biologists interested in division of labour in social insects, our simulation reveals that they perform poorly compared to a neural network model. A major shortcoming of response thresholds is that they fail at one of the most crucial requirement of division of labour, the ability of individuals in a colony to efficiently switch between tasks under varying environmental conditions. Moreover, the intrinsic properties of the threshold models are that they lead to a large proportion of idle workers. Our results highlight these limitations of the response threshold models and provide an adequate substitute. Altogether, the experiments presented in this thesis provide novel contributions to the understanding of how division of labour in social insects is influenced by queen mating frequency and genetic architecture underlying worker task thresholds. Moreover, the thesis also provides a novel model of the mechanisms underlying worker task allocation that maybe more generally applicable than the widely used response threshold models. Resumé : La répartition du travail est l'un des aspects les plus fascinants des insectes vivant en société. Une allocation efficace de la multitude de différentes tâches entre individus demande un ajustement dynamique afin de répondre aux exigences d'un environnement en constant changement. Un nombre considérable de modèles théoriques se sont attachés à identifier les mécanismes permettant aux colonies d'effectuer une allocation efficace des tâches. La grande majorité des ces modèles sont basés sur le constat que les individus d'une même colonie diffèrent dans leur propension (inclination à répondre) à effectuer différentes tâches. Etant donné que les individus possédant un faible seuil de réponse à un stimulus associé à une tâche donnée sont plus disposés à effectuer cette dernière que les individus possédant un seuil élevé, les différences de seuils parmi les individus vivant au sein d'une même colonie mènent à une certaine répartition du travail. Ces modèles théoriques suggèrent que la variation des seuils des individus est affectée par la diversité génétique propre à la colonie. Cependant, ces modèles ne considèrent pas la structure génétique qui est à la base des seuils de réponse individuels. Ceci est très important car une meilleure compréhension de la répartition du travail requière de déterminer de quelle manière les variations génotypiques sont associées aux différentes distributions de seuils de réponse à l'intérieur d'une même colonie. Dans le cadre de cette thèse, nous étudions l'influence combinée de la variabilité génétique d'une colonie (qui prend son origine dans la variation du nombre d'accouplements des reines) avec le nombre de gènes supportant les seuils de réponse, vis-à-vis de la performance de l'allocation des tâches. Nous avons utilisé un simulateur basé sur des agents pour modéliser une situation où les travailleurs d'une colonie devaient accomplir une tâche de régulation (1a quantité d'une nourriture donnée doit être maintenue à l'intérieur d'un certain intervalle) ou une tâche de recherche de nourriture (la quantité d'une certaine nourriture doit être accumulée autant que possible). Dans ce contexte, 'efficacité des colonies tient en partie des travailleurs qui sont capable d'effectuer les deux tâches de manière efficace. Pour étudier l'effet de la diversité génétique d'une colonie, nous comparons l'efficacité des colonies possédant des reines qui s'accouplent avec un nombre variant de mâles. D'autre part, l'influence de la structure génétique a été étudiée en variant le nombre de loci à la base du seuil de réponse des deux tâches de régulation et de recherche de nourriture. Une évolution artificielle a été réalisée pour évoluer les valeurs alléliques qui sont à l'origine de ces seuils de réponse. Les résultats ont révélé que de nombreux accouplements se traduisaient toujours en une plus grande performance de la colonie, quelque soit le nombre de loci encodant les seuils des tâches de régulation et de recherche de nourriture. Cependant, les effets bénéfiques d'accouplements additionnels ont été particulièrement important lorsque la structure génétique des reines comprenait un ou quelques gènes pour le seuil de réponse pour la tâche de recherche de nourriture. D'autre part, un nombre plus élevé de gènes encodant la tâche de recherche de nourriture a diminué la performance de la colonie avec un effet nuisible d'autant plus fort lorsque les reines s'accouplent avec plusieurs mâles. Finalement, le nombre de gènes déterminant le seuil pour la tâche de régulation eu seulement un effet mineur mais incrémental sur la performance de la colonie. Pour conclure, nos expériences numériques révèlent l'importance de considérer les effets associés à la fréquence d'accouplement des reines, à la structure génétique qui est à l'origine des seuils de réponse pour les tâches ainsi qu'au type de tâche effectué au moment d'étudier les facteurs qui régulent l'efficacité de la répartition du travail chez les insectes vivant en communauté. Dans cette thèse, nous étudions l'efficacité de l'allocation des tâches des modèles prenant en compte des seuils de réponses, et les comparons à des réseaux de neurones. Alors que les modèles basés sur des seuils de réponse sont couramment utilisés parmi les biologistes intéressés par la répartition des tâches chez les insectes vivant en société, notre simulation montre qu'ils se révèlent peu efficace comparé à un modèle faisant usage de réseaux de neurones. Un point faible majeur des seuils de réponse est qu'ils échouent sur un point crucial nécessaire à la répartition des tâches, la capacité des individus d'une colonie à commuter efficacement entre des tâches soumises à des conditions environnementales changeantes. De plus, les propriétés intrinsèques des modèles basés sur l'utilisation de seuils conduisent à de larges populations de travailleurs inactifs. Nos résultats mettent en évidence les limites de ces modèles basés sur l'utilisation de seuils et fournissent un substitut adéquat. Ensemble, les expériences présentées dans cette thèse fournissent de nouvelles contributions pour comprendre comment la répartition du travail chez les insectes vivant en société est influencée par la fréquence d'accouplements des reines ainsi que par la structure génétique qui est à l'origine, pour un travailleur, du seuil de réponse pour une tâche. De plus, cette thèse fournit également un nouveau modèle décrivant les mécanismes qui sont à l'origine de l'allocation des tâches entre travailleurs, mécanismes qui peuvent être appliqué de manière plus générale que ceux couramment utilisés et basés sur des seuils de réponse.

Bonding and Bridging Social Capital in Step- and First-Time Families and the Issue of Family Boundaries

Divorce and remarriage usually imply a redefinition of family boundaries, with consequences for the production and availability of social capital. This research shows that bonding and bridging social capitals are differentially made available by families. It first hypothesizes that bridging social capital is more likely to be developed in stepfamilies, and bonding social capital in first-time families. Second, the boundaries of family configurations are expected to vary within stepfamilies and within first-time families creating a diversity of family configurations within both structures. Third, in both cases, social capital is expected to depend on the ways in which their family boundaries are set up by individuals by including or excluding ex-partners, new partner's children, siblings, and other family ties. The study is based on a sample of 300 female respondents who have at least one child of their own between 5 and 13 years, 150 from a stepfamily structure and 150 from a first-time family structure. Social capital is empirically operationalized as perceived emotional support in family networks. The results show that individuals in first-time families more often develop bonding social capital and individuals in stepfamilies bridging social capital. In both cases, however, individuals in family configurations based on close blood and conjugal ties more frequently develop bonding social capital, whereas individuals in family configurations based on in-law, stepfamily or friendship ties are more likely to develop bridging social capital.

Social inequalities in health. New evidence and policy implications

Health inequalities according to people's social standing are persisting, or even growing, in modern societies. Recent decades have revealed evidence of strong variations in life expectancy, both between countries and within them. This widening of social inequalities has developed despite considerable progress in medical science and an increase in health care spending. The reasons behind this are complex, and the implications considerable.   This book provides a summary of the major achievements of a five-year European Science Foundation (ESF) Programme on 'Social Variations in Health Expectancy in Europe'. The contributors are major figures in their subjects, and combine state of the art reviews with the latest results from interdisciplinary research in epidemiology, sociology, psychology and biomedicine.   Three conceptual frameworks of life course influences, health effects of stressful environments, and macro social determinants of health, are unified, while each chapter addresses the policy implications and recommendations derived from currently available evidence. The major topics covered include the role of family in early life, social integration and health, work stress and job security, successful ways of facing adversity, and the impact of the larger environment on health. Epidemiologists, public health research and policy makers, and students of related public health and sociology courses wlll find the results of this research fascinating.This resource was contributed by The National Documentation Centre on Drug Use.

Poverty and social exclusion in Northern Ireland

Northern Ireland’s labour market and poverty rates have deteriorated in the last five years, in addition to longstanding issues of mental health and community divisions – and welfare reforms are likely to exacerbate these problems.��New research��by the New Policy Institute for JRF brings together the latest data to show the extent and nature of poverty in Northern Ireland (NI), focusing on the links between poverty, work, disability and age. It finds that:��•��between 2006/07 and 2011/12 the average (median) income in NI fell by almost 10 per cent compared with 7 per cent for the UK as a whole;��•��the proportion of unemployed working-age people in NI almost doubled between 2007/08 and 2012/13 to reach 5.8 per cent. Growth in the proportion working part-time and wanting full-time work has been greater – up from 1.7 per cent, the same as in Great Britain (GB), to 4.4 per cent (compared with 3.5 per cent in GB);��•��the proportion of pensioners in poverty in NI fell from 19 per cent to 16 per cent in the five years to 2011/12. The poverty rate rose over this period for working-age adults and children;��•��in the five years to 2011/12, the poverty rate among adults aged 16 to 29 rose by 8 percentage points to reach 26 per cent. Poverty has also increased among those aged 30 to 59, solely among those in working families.��For more information about this research and forthcoming work, please contact Aleks Collingwood, programme manager:��Aleks.Collingwood@jrf.org.uk

Geographic patterns in the distribution of social systems in terrestrial arthropods.

The role of ecology in the evolution and maintenance of arthropod sociality has received increasing research attention in recent years. In some organisms, such as halictine bees, polistine wasps, and social spiders, researchers are investigating the environmental factors that may contribute to high levels of variation in the degree of sociality exhibited both among and within species. Within lineages that include only eusocial members, such as ants and termites, studies focus more on identifying extrinsic factors that may contribute to the dramatic variation in colony size, number of queens, and division of labour that is evident across these species. In this review, I propose a comparative approach that seeks to identify environmental factors that may have a common influence across such divergent social arthropod groups. I suggest that seeking common biogeographic patterns in the distribution of social systems or key social traits may help us to identify ecological factors that play a common role in shaping the evolution of sociality across different organisms. I first review previous studies of social gradients that form along latitudinal and altitudinal axes. Within families and within species, many organisms show an increasing degree of sociality at lower latitudes and altitudes. In a smaller number of cases, organisms form larger groups or found nests cooperatively at higher latitudes and altitudes. I then describe several environmental factors that vary consistently along such gradients, including climate variables and abundance of predators, and outline their proposed role in the social systems of terrestrial arthropods. Finally, I map distributions of a social trait against several climatic factors in five case studies to demonstrate how future comparative studies could inform empirical research.

Work Meaningfulness as a Key Enhancer of Ethical Values in Business

Despite abundant research on work meaningfulness, the link between work meaningfulness and general ethical attitude at work has not been discussed so far. In this article, we propose a theoretical framework to explain how work meaningfulness contributes to enhanced ethical behavior. We argue that by providing a way for individuals to relate work to one's personal core values and identity, work meaningfulness leads to affective commitment - the involvement of one's cognitive, emotional, and physical resources. This, in turn, leads to engagement and so facilitates the integration of one's personal values in the daily work routines, and so reduces the risk of unethical behavior. On the contrary, anomie, that is, the absence of meaning and consequently of personal involvement, will lead to lower rational commitment rather than affective commitment, and consequently to disengagement and a-morality. We conclude with implications for the management of ethical attitudes.

Testing of Diagnostic Methods for Detection of Influenza Virusfor Optimal Performance in the Context of an Influenza Surveillance Network

Influenza surveillance networks must detect early the viruses that will cause the forthcoming annual epidemics and isolate the strains for further characterization. We obtained the highest sensitivity (95.4%) with a diagnostic tool that combined a shell-vial assay and reverse transcription-PCR on cell culture supernatants at 48 h, and indeed, recovered the strain

Oxidants positively or negatively regulate nuclear factor kappaB in a context-dependent manner.

Redox-based mechanisms play critical roles in the regulation of multiple cellular functions. NF-kappaB, a master regulator of inflammation, is an inducible transcription factor generally considered to be redox-sensitive, but the modes of interactions between oxidant stress and NF-kappaB are incompletely defined. Here, we show that oxidants can either amplify or suppress NF-kappaB activation in vitro by interfering both with positive and negative signals in the NF-kappaB pathway. NF-kappaB activation was evaluated in lung A549 epithelial cells stimulated with tumor necrosis factor alpha (TNFalpha), either alone or in combination with various oxidant species, including hydrogen peroxide or peroxynitrite. Exposure to oxidants after TNFalpha stimulation produced a robust and long lasting hyperactivation of NF-kappaB by preventing resynthesis of the NF-kappaB inhibitor IkappaB, thereby abrogating the major negative feedback loop of NF-kappaB. This effect was related to continuous activation of inhibitor of kappaB kinase (IKK), due to persistent IKK phosphorylation consecutive to oxidant-mediated inactivation of protein phosphatase 2A. In contrast, exposure to oxidants before TNFalpha stimulation impaired IKK phosphorylation and activation, leading to complete prevention of NF-kappaB activation. Comparable effects were obtained when interleukin-1beta was used instead of TNFalpha as the NF-kappaB activator. This study demonstrates that the influence of oxidants on NF-kappaB is entirely context-dependent, and that the final outcome (activation versus inhibition) depends on a balanced inhibition of protein phosphatase 2A and IKK by oxidant species. Our findings provide a new conceptual framework to understand the role of oxidant stress during inflammatory processes.