Título Multiple risk behaviour intervention to prevent depression in primary care.
Autores GÓMEZ GÓMEZ, IRENE, Moreno-Peral, Patricia , Lopez, Tomas , Claveria, Ana , Olivan, Barbara , Marti, Ruth , Llobera, Joan , Maderuelo-Fernandez, Jose-Angel , MOTRICO MARTINEZ, EMMA
Publicación externa No
Medio Br. J. Gen. Pract.
Alcance Article
Naturaleza Científica
Cuartil JCR 1
Cuartil SJR 1
Impacto JCR 5.38600
Impacto SJR 1.01300
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086731962&doi=10.3399%2fbjgp20X711677&partnerID=40&md5=68ec26c5e93aa9c575d7693d8b181b7c
Fecha de publicacion 01/06/2020
Scopus Id 2-s2.0-85086731962
DOI 10.3399/bjgp20X711677
Abstract BACKGROUND: Primary care is the ideal setting for promotion and\n prevention intervention. Multiple risk behaviour interventions present\n several advantages over single-risk lifestyle interventions. Multiple\n risk behaviour interventions could be easily implemented in primary care\n to prevent non-communicable disease and depression.\n AIM: To test the effectiveness of a multiple risk behaviour intervention\n to promote Mediterranean diet, physical activity, and/or smoking\n cessation in people attending Spanish primary health care with incidence\n of depression and symptoms of depression.\n METHOD: This was a secondary analysis of the EIRA study that aims to\n test the effectiveness of a multiple risk behaviour intervention to\n promote healthy lifestyles. Twenty-six primary care centres were\n randomised to receive multiple risk behaviour intervention or usual\n care. The multiple risk behaviour intervention included individual\n sessions, group sessions, communitarian activities, and SMS reception.\n Participants were followed for 10-14 months. The primary outcomes of\n this study were incidence of depression and reductions of depressive\n symptoms.\n RESULTS: Three thousand and sixty-seven participants were included.\n Females accounted for 45.13% and 93.88% were Spanish. Age varied between\n 45 and 75 years old. The effectiveness of the intervention will be\n calculated using the Patient Health Questionnaire (PHQ-9) and the\n Composite International Diagnostic Interview (CIDI) depression section.\n Linear and logistic regression will be used to create predictive models.\n CONCLUSION: Primary care is the most accessible service in the health\n system for patients. Hence primary care is the ideal setting for health\n education, promotion, and prevention interventions. This study will\n provide high-quality evidence about the effectiveness of multiple risk\n behaviour interventions over depression prevention.
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