Students’ Involvement in School and Parental Support: Contributions to the Socio-Educational Intervention

Student involvement in the school and the perception of parental support are core variables in the context of studies on personal and school adjustment of children and adolescents and should be considered in the context of socio-educational intervention. In this study, we formulated the following objectives: i) to understand the differences in students’ involvement in school and the perception of parental support, according to several socio- demographic and school variables, ii) to analyse the relationship between involvement and the perception of parental support iii) to outline socio-educational intervention strategies in the contexts of children’s lives. This is a non-experimental, correlational and cross-sectional study by means of a non-probabilistic convenience sample consisting of 150 children, aged between 10 and 16 years, attending the 2nd and 3rd cycles basic education [5th – 9th years of schooling] attending a school in the central region of Portugal. The data collection instruments were “Students’ Engagement in School: a Four-Dimensional Scale – SES-4DS” (Veiga 2013, 2016), the “Perceived Parental Support Scale” (Veiga, 2011) and a part with socio-demographic and school questions was added. We found significant differences in overall (and partial) amounts of student involvement and the perception of parental support, depending on the age, gender (in agency and behaviour subscales), school difficulties/retentions and methods of study (time, a place to study and a study schedule). We also found positive and significant relationships between student involvement and perception of parental support. The results are in line with the scientific literature in the field, which highlights the key role of the variables, student involvement and perception of parental support in the academic and psychosocial adjustment of young people. These should be considered in the context of socio-educational intervention. Given the above, we present areas and action strategies promoting parent and student involvement in the educational process.

Children at risk, attachment and institutionalization: contributions to the socio-educational intervention

Introduction: Institutionalized children exposed to early adverse experiences are a particularly vulnerable group with a high risk of developing health problems. Objectives: i) to know the representations of attachment in institutionalized children; ii) to understand if there are differences of attachment, according to some sociodemographic variables; iii) outline socio-educational intervention strategies in the children’s life’s contexts. Methods: This is an exploratory and cross-sectional study, using for this purpose, a non-probabilistic and convenience sample composed of 82 institutionalized children, aged between 8 and 17 years old. The gathering instruments were the Sociodemographic Questionnaire and the Inventory Attachment for Children and Adolescents. Results: The results show that most children have secure attachment representations, followed by the avoidant attachment representations. We also found signiicant differences in the results of attachment, according to the gender (in avoidant attachment and ambivalent attachment) and in the institutionalization time (in the ambivalent attachment). Conclusions: The results show promising lines of research, being our purpose to outline socio-educational intervention strategies for children in their pathways of life by promoting protective factors, especially the establishment of secure relationships, thus promoting better quality of life and well-being.

Resilience, perception of parental support and socio-educational intervention strategies

Introduction: Resilience is a core variable in the context of studies on the psychosocial adjustment and school children and teenagers, and should be considered in the context of strategies to promote their well- being and quality of life. Objectives: To know the relationship between resilience, parental support and some sociodemographic variables; outline socio-educational intervention strategies in contexts of children’s lives. Methods: This is a non-experimental, correlational and cross-sectional study, having used a non- probabilistic convenience sample consisting of 150 children, aged between 10 and 16 years old, attending the 2nd and 3rd cycles of Basic Education. The gathering instruments were the Sociodemographic Questionnaire, Inventory Measuring State and Child Resilience (Martins, 2005) and Perception Parental Support Scale (Veiga, 2011). Results: Results show that there are signiicant differences in the values of the current, past and overall resilience, between the age groups children, revealing that children aged between 10 and 11 years have higher results in resilience than young people aged between 14 and 16 years. We also observed signiicant differences in the current resilience, depending on the parents’ marital status (higher when parents are married). We also observed positive and signiicant correlations between resilience and perception of parental support. Conclusions: Results are in line with the scientiic literature in the ield that highlights the key role of resilience in school and psychosocial adjustment of children, and should be considered within the design of socio-educational intervention strategies. Keywords: Resilience. Parental support. Attachment

Ethical-moral courses of action and active citizenship in health students

Abstract Introduction: The practice of active citizenship, ethical-moral courses of action and civic, moral and ethics education are essentials for ethical decision making in health. Objetive: To determine if gender influences students’ ethical- moral course of action. Methods: Descriptive study with a non-probabilistic sample of 85 students enrolled in the 1st cycle of the health degree. Results: Of the participants surveyed 61.2% were found to say that action should take into account their moral principles, with ethical/ moral subjectivism prevailing; 44.7% consider that one should “Do what will have the best consequences for the greatest number of people”, with the principle of utilitarianism being significant; 55.3% think that “An action is ethically good” if “It is in accordance with morality”, thereby highlighting subjectivism/relativism; 45.9% believe that “ethical-moral values” “are relative and vary from society to society” agreeing with relativism as an explanatory principle for action. Males showed a greater tendency to support their decision-making with the principle of objectivism, (Fischer=.010). Conclusion: The results suggest that students’ ethical-moral education is required to promote an ethical-moral course of action in their professional practice. Thus, universities with their health courses should be at the forefront of this education, making their graduates ambassadors/interveners of a way of knowing and of being as well as promoters of the dignity of the citizen of the modern world.

Adherence to therapeuthic regimen and metabolic control of type 1 diabetes

Abstract Objectives: To assess the adherence to therapeutic regimen; to determine the Hemoglobin Glycation Index (HbA1c); to analyse the relationship that exists between the adherence to therapeutic regimen and metabolic control. Design: correlational analytical study, carried out according to a cross-sectional perspective. Participants: A non-probabilistic sample of 266 people with type 1 diabetes aged between 18 and 78 years old (mean M = 51.02 ± SD = 18.710), attending follow-up diabetes consultations. Mostly male individuals (51.88%), with low schooling level (50.75% had only inished elementar school). Measuring Instruments: We used the following data collection tools: a questionnaire on clinical and socio-demographic data, blood analysis of venous blood to determine the glycated hemoglobin level (HbA1c).Three self-report scales were used: Accession to Diabetes Treatment (Matos, 1999), Self-perception Scale (Vaz Serra, 1986) and Social Support Scale (Matos & Rodrigues, 2000). Results: In a sample in which the mean disease duration is 12.75 years, 69.17% of the sample run glycemic control tests between once a day and four times a year and 42.86% of them undergo insulin treatment. In the last 3 weeks, 26.32% of these people have experienced an average of 4.22 to 44.36%, hypoglycemic crises and experienced an average of 6.18 hyperglycemic crises. 57% of the individuals have showed a poor metabolic control (mean HbA1c higher than 7.5% (HbA1c mean M ≥ 7.50%). The mean psychosocial proile revealed individuals who show a decent self-esteem (M = 70.81) and acceptable social support (M = 58.89). Conclusions: The results suggest we should develop a kind of investigation that could be used to monitor the strenght of the mediation effect effect of the psychosocial predictive dimension of the adherence, since it has become essential to support a multidisciplinary approach which center lays in the promotion of a co-responsible self-management from the person who suffers from diabetes. This will enable a better quality of life; fewer years of people’s lives lost prematurely and a better health with less economical costs for citizens and healthcare systems.

Probabilistic Security Constrained Fuzzy Power Flow Models

In restructured power systems, generation and commercialization activities became market activities, while transmission and distribution activities continue as regulated monopolies. As a result, the adequacy of transmission network should be evaluated independent of generation system. After introducing the constrained fuzzy power flow (CFPF) as a suitable tool to quantify the adequacy of transmission network to satisfy 'reasonable demands for the transmission of electricity' (as stated, for instance, at European Directive 2009/72/EC), the aim is now showing how this approach can be used in conjunction with probabilistic criteria in security analysis. In classical security analysis models of power systems are considered the composite system (generation plus transmission). The state of system components is usually modeled with probabilities and loads (and generation) are modeled by crisp numbers, probability distributions or fuzzy numbers. In the case of CFPF the component’s failure of the transmission network have been investigated. In this framework, probabilistic methods are used for failures modeling of the transmission system components and possibility models are used to deal with 'reasonable demands'. The enhanced version of the CFPF model is applied to an illustrative case.