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1.
J Marital Fam Ther ; 40(2): 246-59, 2014 Apr.
Artículo en Inglés | MEDLINE | ID: mdl-24749523

RESUMEN

This study tested the relationship between family dynamics and self-injury. A total of 189 participants responded to a web-based survey collecting information related to previous self-injury behaviors and family dynamics. Participants were over 18 years old who had used self-injury (intentionally harming themselves physically to relieve painful emotions without suicidal intent), but who had not used self-injury for over a year. Results indicated that healthy family dynamics were negatively correlated and associated with higher scores of self-injury behaviors. This study offers some evidence that family dynamics influence self-injury behaviors. The implications for family therapy are discussed.


Asunto(s)
Relaciones Familiares , Autoeficacia , Conducta Autodestructiva/epidemiología , Conducta Autodestructiva/psicología , Ansiedad/epidemiología , Ansiedad/psicología , Actitud Frente a la Salud , Comorbilidad , Femenino , Humanos , Masculino , Medición de Riesgo , Autoinforme , Estrés Psicológico/epidemiología , Estrés Psicológico/psicología , Estados Unidos , Adulto Joven
2.
Ital J Pediatr ; 36: 35, 2010 Apr 26.
Artículo en Inglés | MEDLINE | ID: mdl-20420670

RESUMEN

OBJECTIVE: To validate the SICK scoring system's ability to differentiate between individuals with higher and lower probabilities of death METHOD: We performed a one year two-centre prospective evaluation of all children aged between one month and 12 years referred to the Paediatric team at St Stephens Hospital in Delhi and admitted to the Paediatric Department at West Middlesex University Hospital in London. We calculated SICK scores at presentation and correlated them with subsequent in-hospital mortality. We used discrimination by areas under receiver operating characteristic (ROC) curves to measure performance. RESULTS: We prospectively evaluated 3895 children in Delhi and 1473 children in London. The areas under the ROC curves were 84.8% in Delhi, 81.0% in London and 84.1% (95% CI 77.4-90.8%) for combined data. Hosmer-Lemeshow goodness of fit for the combined data was good (Hosmer-Lemeshow Chi-square=2.13 (p=0.345). CONCLUSIONS: We propose the SICK score as a useful triage tool at initial presentation and highlight its particular suitability for resource poor settings.


Asunto(s)
Enfermedad Aguda/clasificación , Urgencias Médicas/clasificación , Hospitales Pediátricos , Evaluación de Resultado en la Atención de Salud/métodos , Índice de Severidad de la Enfermedad , Triaje/métodos , Enfermedad Aguda/mortalidad , Distribución por Edad , Causas de Muerte/tendencias , Niño , Preescolar , Femenino , Mortalidad Hospitalaria/tendencias , Humanos , Lactante , Recién Nacido , Londres/epidemiología , Masculino , Estudios Prospectivos , Curva ROC
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