Repositorio Institucional
Repositorio Institucional
CONICET Digital
  • Inicio
  • EXPLORAR
    • AUTORES
    • DISCIPLINAS
    • COMUNIDADES
  • Estadísticas
  • Novedades
    • Noticias
    • Boletines
  • Ayuda
    • General
    • Datos de investigación
  • Acerca de
    • CONICET Digital
    • Equipo
    • Red Federal
  • Contacto
JavaScript is disabled for your browser. Some features of this site may not work without it.
  • INFORMACIÓN GENERAL
  • RESUMEN
  • ESTADISTICAS
 
Artículo

Neurological disorders in an elderly cohort that experienced past stressful events: a retrospective-prospective study

Domínguez, Raúl O.; Marschoff, Enrique Ricardo; Oudkerk, Liliana M.; de la Ossa Angulo, Luis E.; Villamizar Pérez, Susana; Bianchi, Graciela A.; Repetto, Marisa GabrielaIcon ; Serra, Jorge AlbertoIcon
Fecha de publicación: 01/2022
Editorial: Bentham Science Publishers
Revista: Current Aging Science
ISSN: 1874-6128
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Otras Ciencias Médicas

Resumen

Background: Psychological stress may be a risk factor for dementia, but the association between exposure to stressful life events and the development of cognitive dysfunction has not been conclusively demonstrated. We hypothesize that if a stressful event has an impact on the sub-jects, its effects would be different in the three diseases. Objective: This study aims to assess the effects of stressful events in senior patients who later de-veloped ischemic stroke, Alzheimer's, or Parkinson's disease. Material and Methods: Together with demographic variables (age, sex, race, socioeconomic and cultural levels), five types of past stressful events, such as death or serious illness of close relatives, job dismissal, change of financial status, retirement, and change of residence, were recorded in 1024 patients with Alzheimer's disease, Parkinson's disease, and ischemic stroke. Time-to-diagnosis (months from the event to the first symptoms: retrospective study) and evolution time (years of follow-up of each patient: prospective study) were recorded. The variance and non-parametric methods were analyzed to the variables time-to-diagnosis and evolution time to analyze differences between these diseases. Results: The demographic variables, such as age, sex, race, economic and cultural levels, were found to be statistically non-significant; differences in the economic level were significant (P<0.05). Significant differences (P<0.001) were found in the mean time-to-diagnosis between diseases (Alzheimer’s disease>Parkinson’s disease >Stroke), and minor differences (P<0.05) in evolution time. Conclusion: Differences in time-to-diagnosis between the diseases indicate that the stressful effect of having experienced the death or serious illness of a close relative has an impact on their emer-gence. The measurement of time-to-diagnosis and evolution time proves useful in detecting differences between diseases.
Palabras clave: ALZHEIMER´S DISEASE , ISCHEMIC STROKE , NEUROLOGICAL DISEASES , PARKINSON´S DISEASE , RISK FACTORS , STRESSFUL LIFE EVENTS
Ver el registro completo
 
Archivos asociados
Tamaño: 835.1Kb
Formato: PDF
.
Solicitar
Licencia
info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Atribución-NoComercial-SinDerivadas 2.5 Argentina (CC BY-NC-ND 2.5 AR)
Identificadores
URI: http://hdl.handle.net/11336/204002
URL: http://www.eurekaselect.com/200326/article
DOI: http://dx.doi.org/10.2174/1874609815666220118104234
Colecciones
Articulos(IBIMOL)
Articulos de INSTITUTO DE BIOQUIMICA Y MEDICINA MOLECULAR
Citación
Domínguez, Raúl O.; Marschoff, Enrique Ricardo; Oudkerk, Liliana M.; de la Ossa Angulo, Luis E.; Villamizar Pérez, Susana; et al.; Neurological disorders in an elderly cohort that experienced past stressful events: a retrospective-prospective study; Bentham Science Publishers; Current Aging Science; 15; 2; 1-2022; 163-171
Compartir
Altmétricas
 

Enviar por e-mail
Separar cada destinatario (hasta 5) con punto y coma.
  • Facebook
  • X Conicet Digital
  • Instagram
  • YouTube
  • Sound Cloud
  • LinkedIn

Los contenidos del CONICET están licenciados bajo Creative Commons Reconocimiento 2.5 Argentina License

https://www.conicet.gov.ar/ - CONICET

Inicio

Explorar

  • Autores
  • Disciplinas
  • Comunidades

Estadísticas

Novedades

  • Noticias
  • Boletines

Ayuda

Acerca de

  • CONICET Digital
  • Equipo
  • Red Federal

Contacto

Godoy Cruz 2290 (C1425FQB) CABA – República Argentina – Tel: +5411 4899-5400 repositorio@conicet.gov.ar
TÉRMINOS Y CONDICIONES