3 resultados para resilience
em Biblioteca Digital da Produção Intelectual da Universidade de São Paulo
Resumo:
This exploratory and descriptive study described sociodemographic and health variables of caregivers of elderly people with Alzheimer's disease, associating care provided with resilience. Participants were 101 caregivers over 18 years old who accompanied older adults in a Primary Care Unit of a Brazilian public hospital in 2009. Questionnaires regarding the profile, the Beck Depression Inventory, and the Resilience Scale were used. Descriptive statistical analysis was performed. Most caregivers were female, without depression, aided by other people in providing care, and had a high degree of resilience. The variables degree of kinship, medical treatment, the use of medication, tiredness, prostration, discouragement, and caregivers' mental health had significant association with resilience. Physical health was significantly associated to experience in care, with 82 elderly people presenting acute cognitive damage. Older adults in the family context can benefit from a more resilient caregiver.
Resumo:
Financial markets can be viewed as a highly complex evolving system that is very sensitive to economic instabilities. The complex organization of the market can be represented in a suitable fashion in terms of complex networks, which can be constructed from stock prices such that each pair of stocks is connected by a weighted edge that encodes the distance between them. In this work, we propose an approach to analyze the topological and dynamic evolution of financial networks based on the stock correlation matrices. An entropy-related measurement is adopted to quantify the robustness of the evolving financial market organization. It is verified that the network topological organization suffers strong variation during financial instabilities and the networks in such periods become less robust. A statistical robust regression model is proposed to quantity the relationship between the network structure and resilience. The obtained coefficients of such model indicate that the average shortest path length is the measurement most related to network resilience coefficient. This result indicates that a collective behavior is observed between stocks during financial crisis. More specifically, stocks tend to synchronize their price evolution, leading to a high correlation between pair of stock prices, which contributes to the increase in distance between them and, consequently, decrease the network resilience. (C) 2012 American Institute of Physics. [doi:10.1063/1.3683467]
Resumo:
INTRODUCTION: Depressive disorders (DDs) are very prevalent disorders particularly in women, a high-risk gender group. Determining the risk and protective factors associated with the development of DDs is fundamental to planning preventive and therapeutic strategies. In this study, we evaluated the correlations between healthy maternal attachment and the development of DDs in adulthood. METHODS: We evaluated 52 women at 6 months to 1 year after premature childbirth at Maternidade Vila Nova Cachoeirinha. They were evaluated using the following instruments: Brazilian Criteria of Economic Classification,Parental Bonding Inventory (PBI),Center for Epidemiologic Studies Depression Scale (CES-D), and Edinburgh Postnatal Depression Scale (EPDS). Cut-off scores on the CES-D and EPDS were used to classifythe subjects as currently having a DD or having probable postpartum disorder (PPD) after childbirth. Multiple logistic regression was used to evaluate the risk factors associated with DDs. RESULTS: We found that 49.1% of the sample had a current depressive episode, and 73.6% had probable PPD. Based on logistic regression, current depression (odds ratio = 1.092 [confidence interval: 1.005; 1.186]), and a PPD (odds ratio = 1.108 [confidence interval: 1.011; 1.21]) were negatively correlated with affective maternal relationships. CONCLUSIONS: Women who reported healthy attachment with their mothers did not develop DDs when faced with stressful situations such as premature childbirth.