Stability of clinically relevant depression symptoms in old-age across 11 cohorts: a multi-state study.
Por:
de la Torre-Luque A, de la Fuente J, Sánchez-Niubó A, Caballero FF, Prina M, Muniz-Terrera G, Haro JM and Ayuso-Mateos JL
Publicada:
1 dic 2019
Ahead of Print:
20 oct 2019
Categoría:
Psychiatry and mental health
Resumen:
AIMS: To study the temporal dynamics of depression symptom episodes in old-age and the related influence of risk factors. METHODS: Data from 41 362 old adults (54.61% women; mean age = 75.30, SD = 6.20) from the Ageing Trajectories of Health - Longitudinal Opportunities and Synergies (ATHLOS) project were used. Depressive symptoms were followed over an 18-year period. A multi-state model, comprising three statuses (no depression, new clinically relevant episode of symptoms and episode persistence), was fitted. Multinomial regression was used to study the role of risk factors in status transition. RESULTS: Almost 85% of participants showed no depression, but prevalence became lower over time (B = -0.25, P < 0.001). New episode point prevalence was over 5.30% with a significant probability of moving to persistence status (transition probability = 0.27). Episode persistence became evident in 9.86% of episode status transitions, with increasing rate over time (B = 0.54, P < 0.01). Loneliness was proven to be the strongest predictor of episode emergence (OR = 17.76) and persistence (OR = 5.93). CONCLUSIONS: The course of depression tends to become chronic and unremitting in old-age. This study may help to plan interventions to tackle symptom escalation and risk factor influence.
Filiaciones:
de la Torre-Luque A:
Centre for Biomedical Research in Mental Health (CIBERSAM), Spain
Department of Psychiatry, Universidad Autónoma de Madrid, Spain
Department of Psychiatry, Instituto de Investigación Sanitaria Princesa (IIS Princesa), Spain
de la Fuente J:
Centre for Biomedical Research in Mental Health (CIBERSAM), Spain
Department of Psychiatry, Universidad Autónoma de Madrid, Spain
Department of Psychiatry, Instituto de Investigación Sanitaria Princesa (IIS Princesa), Spain
Sánchez-Niubó A:
Centre for Biomedical Research in Mental Health (CIBERSAM), Spain
Parc Sanitari Sant Joan de Déu, Fundació Sant Joan de Déu, Universitat de Barcelona, Spain
Caballero FF:
Department of Preventive Medicine, Public Health, and Microbiology, Universidad Autónoma de Madrid, Spain
Centre for Biomedical Research in Epidemiology and Public Health (CIBERESP), Spain
Prina M:
Institute of Psychiatry, Psychology Neuroscience, King's College London, United Kingdom
Muniz-Terrera G:
Centre for Dementia Prevention, University of Edinburgh, United Kingdom
Haro JM:
Centre for Biomedical Research in Mental Health (CIBERSAM), Spain
Parc Sanitari Sant Joan de Déu, Fundació Sant Joan de Déu, Universitat de Barcelona, Spain
Ayuso-Mateos JL:
Centre for Biomedical Research in Mental Health (CIBERSAM), Spain
Department of Psychiatry, Universidad Autónoma de Madrid, Spain
Department of Psychiatry, Instituto de Investigación Sanitaria Princesa (IIS Princesa), Spain
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