147 research outputs found

    Family network of children with special health needs: implications for Nursing

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    OBJECTIVE: to describe appropriate sources and resources for caregivers of children with special health needs in the community. METHOD: A qualitative study that used the creativity and sensitivity dynamics speaking map, part of the sensitive creative method, involving 11 caregivers of children with special health needs who are assisted in a university hospital located in the South of Brazil. RESULTS: the maps graphically represented through the genogram and ecomap showed that the caregiving women consistently and regularly use the resources of the internal and external family network; they eventually and irregularly access the community social network for physical and psychological support. CONCLUSION: the reclusive nature of care for these children inside the family circle contributes to their social invisibility. Based on this new information, it is recommended that Nursing participate in the care that is focused on these children's families, with particular attention to their socio-cultural conditions

    Metabolically Healthy Obesity and High Carotid Intima-Media Thickness in Children and Adolescents: International Childhood Vascular Structure Evaluation Consortium

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    OBJECTIVE It has been argued that metabolically healthy obesity (MHO) does not increase cardiovascular disease (CVD) risk. This study examines the association of MHO with carotid intima-media thickness (cIMT), a proxy of CVD risk, in children and adolescents. RESEARCH DESIGN AND METHODS Data were available for 3,497 children and adolescents aged 6–17 years from five population-based cross-sectional studies in Brazil, China, Greece, Italy, and Spain. Weight status categories (normal, overweight, and obese) were defined using BMI cutoffs from the International Obesity Task Force. Metabolic status (defined as "healthy" [no risk factors] or "unhealthy" [one or more risk factors]) was based on four CVD risk factors: elevated blood pressure, elevated triglyceride levels, reduced HDL cholesterol, and elevated fasting glucose. High cIMT was defined as cIMT ≥90th percentile for sex, age, and study population. Logistic regression model was used to examine the association of weight and metabolic status with high cIMT, with adjustment for sex, age, race/ethnicity, and study center. RESULTS In comparison with metabolically healthy normal weight, odds ratios (ORs) for high cIMT were 2.29 (95% CI 1.58–3.32) for metabolically healthy overweight and 3.91 (2.46–6.21) for MHO. ORs for high cIMT were 1.44 (1.03–2.02) for unhealthy normal weight, 3.49 (2.51–4.85) for unhealthy overweight, and 6.96 (5.05–9.61) for unhealthy obesity. CONCLUSIONS Among children and adolescents, cIMT was higher for both MHO and metabolically healthy overweight compared with metabolically healthy normal weight. Our findings reinforce the need for weight control in children and adolescents irrespective of their metabolic status
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