RESUMO
Antecedentes: Existen pocos estudios que relacionen personalidad y trastorno por déficit de atención con hiperactividad (TDAH) en adolescentes. Objetivo: estudiar diferencias entre casos con TDAH y población general en prototipos de personalidad (PRP) derivados del Inventario clínico para adolescentes de Millon (MACI). Material y Método: Diseño observacional analítico. Muestreo aleatorio en población general (n = 461) y consecutivo de pacientes con TDAH valorados según criterios DSM-5 (n = 85), en adolescentes entre 13 y 17 años. Instrumentos de medida: MACI y Adolescent Symptom Inventory. Resultados: los PRP Pesimista, Rudo, Rebelde, Oposicionista, Autopunitivo y Límite presentan una media significativamente mayor en TDAH y los PRP Sumiso y Conformista, en población general. El modelo de PRP que mejor prediceTDAH está conformado por tener sexo masculino y los PRP Rudo, Límite, Sumiso y Autopunitivo, clasificando el 82.4% de los casos. Conclusión: Los casos de TDAH tienen PRP diferenciales con la población general que invitan a su estudio clínico e intervención terapéutica. El estudio ofrece una imagen novedosa de los PRP en casos de TDAH y abre nuevos caminos de investigación que incluyan la personalidad al explicar la heterogeneidad del trastorno. (AU)
Background: There are few studies linking personality and Attention Deficit Hyperactivity Disorder (ADHD) in adolescents. Research objective: to study differences between cases with ADHD and the general population in personality prototypes (PRP) derived from the Millon Clinical Inventory for Adolescents (MACI). Material and Method: Analytical observational design. Random sampling in the general population (n = 461) and consecutive of patients with ADHD evaluated according to DSM-5 criteria (n = 85), in adolescents between 13 and 17 years old. Measurement instruments: MACI and Adolescent Symptom Inventory. Results: ADHD presents a significantly higher mean in Doleful, Forceful, Unruly, Oppositional, Self-demeaning and Borderline PRP and the general population in Submissive and Conforming PRP. The PRP model that best predicts ADHD includes male sex and the Forceful, Borderline, Submissive and Self-demeaning PRP. The model classifies 82.4% of the cases. Conclusion. ADHD cases have differential PRP in comparison with the general population, which invites their clinical study and therapeutic intervention. The study offers a novel image of PRP in ADHD and opens new lines of research that include personality when explaining the heterogeneity of the disorder. (AU)
Assuntos
Humanos , Masculino , Feminino , Adolescente , Transtorno do Deficit de Atenção com Hiperatividade/epidemiologia , Personalidade , Espanha , Ensino Fundamental e Médio , Estudos Epidemiológicos , PrevalênciaRESUMO
Dementias are brain diseases that affect long-term cognitive and behavioral functions and cause a decrease in the ability to think and remember that is severe enough to disturb daily functioning. In Spain, the number of people suffering from dementia is rising due to population ageing. Reducing admissions, many of them avoidable, would be advantageous for patients and care-providers. Understanding the correlation of admission of people with dementia and its trends in hospitalization would help us to understand the factors leading to admission. We conducted a cross-sectional study of the hospital discharge database of Castilla y León from 2005 to 2015, selecting hospitalizations for dementia. Trends in hospitalizations by year and age quartiles were studied by joinpoint regression analysis. 2807 out of 2,717,192 total hospitalizations (0.10%) were due to dementias; the main groups were degenerative dementia (1907) followed by vascular dementia (607). Dementias are not a major cause of hospitalization, but the average stay and cost are high, and many of them seem avoidable. Decreasing trends were detected in hospitalization rates for all dementias except for the group of mild cognitive impairment, which grew. An increasing-decreasing joinpoint detected in 2007 for vascular dementia and the general downward hospitalization trends for most dementias suggest that socio-health measures established since 2007 in Spain might play a key role in reducing hospitalizations.
RESUMO
Introducción y objetivos: Explorar las tasas de hospitalización y mortalidad por enfermedades cardiovasculares agudas (ECVA). Métodos: Estudio de asociación cruzada sobre altas hospitalarias de Castilla y León en 2001-2015 de infarto de miocardio (IAM), angina inestable, insuficiencia cardiaca o accidente cerebrovascular agudo (ACVA). Mediante regresión joinpoint, se estudiaron las tendencias de las tasas de hospitalización/100.000 habitantes/año y de mortalidad hospitalaria/1.000 hospitalizaciones/año, en general y por sexo. Resultados: Se estudiaron 239.586 ECVA (IAM, 55.004; angina inestable, 15.406; insuficiencia cardiaca, 111.647; ACVA, 57.529). Se observaron cambios estadísticamente significativos: hospitalización y ECVA, ascendentes en 2001-2007 (5,14; IC95%, 3,5-6,8; p < 0,005) y descendentes en 2011-2015 (3,7; IC95%, 1,0-6,4; p < 0,05); angina inestable, descendente en 2001-2010 (-12,73; IC95%, -14,8 a -10,6; p < 0,05); IAM, ascendente en 2001-2003 (15,6; IC95%, 3,8-28,9; p < 0,05) y descendente en 2003-2015 (-1,20; IC95%, -1,8 a -0,6; p < 0,05); insuficiencia cardiaca, ascendente en 2001-2007 (10,70; IC95%, 8,7-12,8; p < 0,05) y en 2007-2015 (1,10; IC95%, 0,1-2,1; p < 0,05); ACVA, ascendente en 2001-2007 (4,44; IC95%, 2,9-6,0; p < 0,05); mortalidad, descendente en 2001-2015 por ECVA (-1,16; IC95%, -2,1 a -0,2; p < 0,05), IAM (-3,37; IC95%, -4,4 a -2,3; p < 0,05), insuficiencia cardiaca (-1,25; IC95%, -2,3 a -0,1; p < 0,05) y ACVA (-1,78; IC95%, -2,9 a -0,6; p < 0,05), y angina inestable, ascendente en 2001-2007 (24,73; IC95%, 14,2-36,2; p < 0,05). Conclusiones: Las ECVA presentaron una tendencia a tasas de hospitalización crecientes, marcada por la insuficiencia cardiaca, y tasas de mortalidad hospitalaria descendentes, que fueron similares en ambos sexos. Estos datos apuntan a una estabilización y un descenso en la mortalidad hospitalaria atribuibles a medidas establecidas contra ellas (AU)
Introduction and objectives: To analyze hospitalization and mortality rates due to acute cardiovascular disease (ACVD). Methods: We conducted a cross-sectional study of the hospital discharge database of Castile and León from 2001 to 2015, selecting patients with a principal discharge diagnosis of acute myocardial infarction (AMI), unstable angina, heart failure, or acute ischemic stroke (AIS). Trends in the rates of hospitalization/100 000 inhabitants/y and hospital mortality/1000 hospitalizations/y, overall and by sex, were studied by joinpoint regression analysis. Results: A total of 239 586 ACVD cases (AMI 55 004; unstable angina 15 406; heart failure 111 647; AIS 57 529) were studied. The following statistically significant trends were observed: hospitalization: ACVD, upward from 2001 to 2007 (5.14; 95%CI, 3.5-6.8; P < .005), downward from 2011 to 2015 (3.7; 95%CI, 1.0-6.4;P < .05); unstable angina, downward from 2001 to 2010 (-12.73; 95%CI, -14.8 to -10.6; P < .05); AMI, upward from 2001 to 2003 (15.6; 95%CI, 3.8-28.9; P < .05), downward from 2003 to 2015 (-1.20; 95%CI, -1.8 to -0.6; P < .05); heart failure, upward from 2001 to 2007 (10.70; 95%CI, 8.7-12.8; P < .05), upward from 2007 to 2015 (1.10; 95%CI, 0.1-2.1; P < .05); AIS, upward from 2001 to 2007. (4.44; 95%CI, 2.9-6.0; P < .05). Mortality rates: downward from 2001 to 2015 in ACVD (-1.16; 95%CI, -2.1 to -0.2; P < .05), AMI (-3.37, 95%CI, -4.4 to -2, 3, P < .05), heart failure (-1.25; 95%CI, -2.3 to -0.1; P < .05) and AIS (-1.78; 95%CI, -2.9 to -0.6; P < .05); unstable angina, upward from 2001 to 2007 (24.73; 95%CI, 14.2-36.2; P < .05). Conclusions: The ACVD analyzed showed a rising trend in hospitalization rates from 2001 to 2015, which was especially marked for heart failure, and a decreasing trend in hospital mortality rates, which were similar in men and women. These data point to a stabilization and a decline in hospital mortality, attributable to established prevention measures (AU)
