837 resultados para indicators of social resilience
Resumo:
The impact of social relationships on the maintenance of independence over periods of 12-18 months in a group of 306 octogenarians is assessed in this study. The study is based on the results of the Swilsoo (Swiss Interdisciplinary Longitudinal Study on the Oldest Old). Participants (80-84 years old at baseline) were interviewed five times between 1994 and 1999. Independence was defined as the capacity to perform without assistance eight activities of daily living. We distinguished in our analyses kinship and friendship networks and evaluated social relationships with the help of a series of variables serving as indicators of network composition and contact frequency. Logistic regression models were used to identify the short-term effects of social relationships on independence, after controlling for sociodemographic and health-related variables; independence at a given wave of interviews was interpreted in the light of social factors measured at the previous wave. Our analyses indicate that the existence of a close friend has a significant impact on the maintenance of independence (OR=1.58, p<0.05), which is not the case with the other variables concerning network composition. Kinship contacts were also observed to have a positive impact on independence (OR=1.12, p<0.01).
Resumo:
Many definitions and debates exist about the core characteristics of social and solidarity economy (SSE) and its actors. Among others, legal forms, profit, geographical scope, and size as criteria for identifying SSE actors often reveal dissents among SSE scholars. Instead of using a dichotomous, either-in-or-out definition of SSE actors, this paper presents an assessment tool that takes into account multiple dimensions to offer a more comprehensive and nuanced view of the field. We first define the core dimensions of the assessment tool by synthesizing the multiple indicators found in the literature. We then empirically test these dimensions and their interrelatedness and seek to identify potential clusters of actors. Finally we discuss the practical implications of our model.
Resumo:
[spa] Utilizando dos indicadores alternativos de redistribución –las transferencias sociales y el gasto social- durante el periodo de tiempo comprendido entre 1880 y 1933, y utilizando dos indicadores alternativos de desigualdad –el porcentaje de explotaciones agrarias no familiares y los top income shares-, este papel muestra que, al contrario de lo que muchos estudios sobre los origines del Estado del Bienestar suelen sugerir, la desigualdad no favoreció el desarrollo de la política social ni siquiera en sus etapas iniciales. Ello significa que la política social se desarrolló más rápidamente en los países que previamente ya eran más igualitarios, lo que sugiere que los países con más desigualdad se encontraban en una especie de trampa de la desigualdad, donde la desigualdad en si misma fue uno de los obstáculos a la redistribución.
Resumo:
[spa] Utilizando dos indicadores alternativos de redistribución –las transferencias sociales y el gasto social- durante el periodo de tiempo comprendido entre 1880 y 1933, y utilizando dos indicadores alternativos de desigualdad –el porcentaje de explotaciones agrarias no familiares y los top income shares-, este papel muestra que, al contrario de lo que muchos estudios sobre los origines del Estado del Bienestar suelen sugerir, la desigualdad no favoreció el desarrollo de la política social ni siquiera en sus etapas iniciales. Ello significa que la política social se desarrolló más rápidamente en los países que previamente ya eran más igualitarios, lo que sugiere que los países con más desigualdad se encontraban en una especie de trampa de la desigualdad, donde la desigualdad en si misma fue uno de los obstáculos a la redistribución.
Resumo:
Objectif. Analyser les déterminants de la prolongation des séjours hospitaliers en service de soins de suite et réadaptation gériatrique (SSRG) et identifier les indicateurs du devenir des patients après leur sortie. Méthode. Étude rétrospective au CHRU de Strasbourg de l'ensemble des séjours de durée supérieure à 90 jours entre le 1 janvier 2012 et le 30 septembre 2013. L'ensemble des données sociodémographiques, descriptives des séjours et de l'état de santé des patients ont été analysées. Les patients ont été suivis 9 mois après leur sortie. Les réhospitalisations, l'admission en institution et le décès ont été informés par un contact téléphonique auprès du médecin traitant ou de la famille. Résultats. Quarante-six séjours ont été analysés. Les patients étaient à 68,0 % des femmes. La moyenne d'âge était de 82,9 ± 5,8 ans. Quatre-vingt-dix-huit pour cent d'entre eux vivaient à domicile avant l'admission en milieu hospitalier. Les raisons justifiant la prolongation étaient d'ordre médical (60,8 %), psychique (45,6 %), social (65,2 %) et liées à la difficulté de trouver une solution d'aval (58,7 %). À la fin de leur séjour, 9 patients ont pu regagner leur domicile et 37 ont été admis directement en institution. Durant la période de suivi, 17 patients ont été réhospitalisés au moins une fois et 3 jusqu'à trois fois. Au 9e mois, 9 patients étaient décédés dans un délai moyen de 75 jours après la sortie du SSRG. Les résultats des analyses unifactorielles et multivariées ont permis d'identifier des indicateurs d'évolution défavorable (décès et/ou réhospitalisation). Aucune des variables sociodémographiques ou de syndrome gériatrique n'a été identifiée. Par contre un « motif d'hospitalisation pour une maladie infectieuse », ou pour « un trouble de la marche ou une chute », une « prolongation du séjour en SSRG pour raison médicale » et un « séjour prolongé en court séjour » étaient les facteurs identifiés. Conclusion. Dans la tendance actuelle à améliorer la rentabilité de l'utilisation des ressources de santé, ces résultats rappellent qu'il est important de maintenir un juste équilibre entre utilisation raisonnée des ressources et les besoins spécifiques des patients âgés.
Resumo:
Utilization of social media is increasingly common in B2B marketing. Social media is an efficient and cheap marketing and communication channel available for everyone, and thus extremely attractive marketing medium. The more companies get involved in social media the more failures are reported. It is not enough for a company to just be present in social media. Succeeding on it requires hard work, investing time and money, and ability to measure and to monitor performance. With an increasing number of companies failing in utilizing social media, together with lack of research on strategic utilization of social media focusing on B2B marketing, measuring, and monitoring create a purpose for this research. The aim of this research is to discover methods for measuring and monitoring effects of strategic utilization of social media in B2B marketing. Most relevant financial and non-financial indicators are discussed, and the methods by which these can be monitored and measured. In addition, effects of strategic utilization of social media on the case company are measured and analyzed. The research methodology used in this research is a participatory action research, which includes elements of both qualitative and quantitative research methods. The case company examined in the research provides a unique opportunity to follow through all phases of strategic utilization of social media for B2B marketing purposes concluding real effects of social media to the case company, and thus gain a deep understanding about this new marketing medium in the perspective of B2B marketing. Duration of the research period is seven months. During this time, information is collected, measured, and analyzed. Case company does not have any other marketing activities simultaneously which makes it possible to examine social media apart from effects of other visible marketing activities. Effects of strategic utilization of social media can be monitored and measured in many ways. Methods that should be used depend on goals set for social media. Fundamental nature of social media requires multidimensional assessment, and thus effects should be measured, and monitored considering both financial and non-financial indicators. The results implicates that effects of strategic utilization of social media are relatively wide ranged. According to the findings, social media affects positively on brand, number of web page visitors, visitor behavior, and on distribution of awareness. According to investment calculations social media is a legitimate investment for case company. Results also implicate that by using social media case company gains conversation, arouses interest, gets attention, and creates interactivity. In addition and as a side note, winter holiday season appears to have a great effect on social media activity of B2B companies’ representatives.
Resumo:
Abstract: Blood samples collection is a common method in biological research using domestic animals. However, most blood sampling techniques are complicated and highly invasive and may therefore not be appropriate for wildlife animals in research concerning stress. Thus, a non-invasive method to measure steroid hormones is critically needed. The first goal of this study was to determine how glucocorticoids concentrations are impacted by translocation and reproductive activity in crab-eating-fox (Cerdocyoun thous) in captivity. The physiological relevance of fecal glucocorticoid metabolites was further validated by demonstrating: (1) The translocation of a male to a females enclosure resulted in a 3.5-fold increase compared to baseline concentrations, (2) changes in adrenocortical activity, as reflected in concentrations of fecal cortisol metabolites during reproduction, gestation and lactation in females foxes, indicating that social interactions resulted in large increases of fecal glucocorticoids metabolites during the reproductive season. From these findings we conclude that fecal samples can be used for the non-invasive assessment of adrenocortical status in crab-eating-fox.
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Compositional data, also called multiplicative ipsative data, are common in survey research instruments in areas such as time use, budget expenditure and social networks. Compositional data are usually expressed as proportions of a total, whose sum can only be 1. Owing to their constrained nature, statistical analysis in general, and estimation of measurement quality with a confirmatory factor analysis model for multitrait-multimethod (MTMM) designs in particular are challenging tasks. Compositional data are highly non-normal, as they range within the 0-1 interval. One component can only increase if some other(s) decrease, which results in spurious negative correlations among components which cannot be accounted for by the MTMM model parameters. In this article we show how researchers can use the correlated uniqueness model for MTMM designs in order to evaluate measurement quality of compositional indicators. We suggest using the additive log ratio transformation of the data, discuss several approaches to deal with zero components and explain how the interpretation of MTMM designs di ers from the application to standard unconstrained data. We show an illustration of the method on data of social network composition expressed in percentages of partner, family, friends and other members in which we conclude that the faceto-face collection mode is generally superior to the telephone mode, although primacy e ects are higher in the face-to-face mode. Compositions of strong ties (such as partner) are measured with higher quality than those of weaker ties (such as other network members)
Resumo:
The practices and decision-making of contemporary agricultural producers are governed by a multitude of different, and sometimes competing, social, economic, regulatory, environmental and ethical imperatives. Understanding how they negotiate and adapt to the demands of this complex and dynamic environment is crucial in maintaining an economically and environmentally viable and resilient agricultural sector. This paper takes a socio-cultural approach to explore the development of social resilience within agriculture through an original and empirically grounded discussion of people-place connections amongst UK farmers. It positions enchantment as central in shaping farmers' embodied and experiential connections with their farms through establishing hopeful, disruptive and demanding ethical practices. Farms emerge as complex moral economies in which an expanded conceptualisation of the social entangles human and non-human actants in dynamic and contextual webs of power and responsibility. While acknowledging that all farms are embedded within broader, nested levels, this paper argues that it is at the micro-scale that the personal, contingent and embodied relations that connect farmers to their farms are experienced and which, in turn, govern their capacity to develop social resilience.
Resumo:
This study aimed to assess the relationship between clinical and behavioral manifestations of the Social Anxiety Disorder (SAD) and verify the discriminative validity of the Social Skills Inventory (SSI-Del-Prette) in the diagnosis of this disorder. The participants were 1,006 undergraduates, aged between 17 and 35 years old, both genders. Subsequently, 86 participants were randomly selected from the initial sample and grouped as SAD cases and non-SAD cases through systematic clinical evaluation. The results indicated that the more elaborate the repertoire of social skills of an individual is, the lower his/her likelihood of meeting the screening criteria of diagnostic indicators for SAD. Furthermore, the SSI-Del-Prette has demonstrated to significantly distinguish individuals with and without SAD, evidencing, thus, its discriminative validity.
Resumo:
The present study investigated short-term effects of daily social exclusion at work on various indicators of sleep quality and tested the mediating role of work-related worries using a time-based diary study with ambulatory assessments of sleep quality. Ninety full-time employees participated in a 2-week data collection. Multilevel analyses revealed that daily workplace social exclusion and work-related worries were positively related to sleep fragmentation in the following night. Daily social exclusion, however, was unrelated to sleep onset latency, sleep efficiency and self-reported sleep quality. Moreover, worries did not mediate the effect of social exclusion at work on sleep fragmentation. Theoretical and practical implications of the results are discussed.
Resumo:
Advances in information technology and global data availability have opened the door for assessments of sustainable development at a truly macro scale. It is now fairly easy to conduct a study of sustainability using the entire planet as the unit of analysis; this is precisely what this work set out to accomplish. The study began by examining some of the best known composite indicator frameworks developed to measure sustainability at the country level today. Most of these were found to value human development factors and a clean local environment, but to gravely overlook consumption of (remote) resources in relation to nature’s capacity to renew them, a basic requirement for a sustainable state. Thus, a new measuring standard is proposed, based on the Global Sustainability Quadrant approach. In a two‐dimensional plot of nations’ Human Development Index (HDI) vs. their Ecological Footprint (EF) per capita, the Sustainability Quadrant is defined by the area where both dimensions satisfy the minimum conditions of sustainable development: an HDI score above 0.8 (considered ‘high’ human development), and an EF below the fair Earth‐share of 2.063 global hectares per person. After developing methods to identify those countries that are closest to the Quadrant in the present‐day and, most importantly, those that are moving towards it over time, the study tackled the question: what indicators of performance set these countries apart? To answer this, an analysis of raw data, covering a wide array of environmental, social, economic, and governance performance metrics, was undertaken. The analysis used country rank lists for each individual metric and compared them, using the Pearson Product Moment Correlation function, to the rank lists generated by the proximity/movement relative to the Quadrant measuring methods. The analysis yielded a list of metrics which are, with a high degree of statistical significance, associated with proximity to – and movement towards – the Quadrant; most notably: Favorable for sustainable development: use of contraception, high life expectancy, high literacy rate, and urbanization. Unfavorable for sustainable development: high GDP per capita, high language diversity, high energy consumption, and high meat consumption. A momentary gain, but a burden in the long‐run: high carbon footprint and debt. These results could serve as a solid stepping stone for the development of more reliable composite index frameworks for assessing countries’ sustainability.
Resumo:
Energy consumption in industrialized countries by far exceeds a sustainable level. Previous research on determinants of overall consumption levels has yielded contradictory results as to what the main drivers are. While research on the relationship of environmental concerns and pro-environmental behavior emphasizes the importance of motivational aspects, more impact-oriented research challenges these findings and underlines the impacts of a person’s social standing. The aim of our research was to determine which amount of per-capita energy consumption can be explained by structural, socio-demographic, and pro-environmentally motivational variables. Data come from standardized interviews with a representative sample (N=1014) in Germany. Different indicators of per-capita use were collected and will provide the basis for calculating the overall consumption level. In addition, person variables, lifestyle milieus, self-reported energy use, and motivational variables were assessed. First regression analyses show various patterns of determinants for different indicators of overall energy use. While variance in self-reported use is mainly explained by environmental concern, more impact-oriented indicators, such as the size of personal living space and distances of vacation trips, predominantly correlate with status-relevant predictors. These preliminary results support the suspicion that although environmentally aware people intend to reduce their energy use, they rarely go beyond low-impact actions.
Resumo:
This research examined the effect of marital status and gender on various indicators of psychological adaptation, namely depressive symptoms, loneliness, and life satisfaction. It further explores the role of trait resilience, marital history, and context of death for predicting These outcomes in bereaved individuals. Four hundred eighty widowed individuals aged between 60 and 89 were compared with 759 married peers. Main effects were found for marital status and gender for all indicators. The regression analyses illustrate the multifaceted structure of psychological adaptation. Trait resilience is a key factor in adapting to spousal bereavement, whereas marital history and the context are secondary.