Nicola Veronese1,2, Ai Koyanagi3,4, Lee Smith5, Marco Solmi6,7, Barbara Senesi8, Alberto Cella8, Alberto Pilotto8,9. 1. Primary Care Department, District 3, Azienda ULSS 3 Serenissima, Venice, Italy. 2. Geriatric Unit, Department of Internal Medicine and Geriatrics, University of Palermo, Palermo, Italy. 3. Research and Development Unit, Parc Sanitari Sant Joan de Déu, CIBERSAM, Barcelona, Spain. 4. ICREA, Pg. Lluis Companys 23, Barcelona, Spain. 5. The Cambridge Centre for Sport and Exercise Sciences, Anglia Ruskin University, Cambridge, UK. 6. Department of Neurosciences, University of Padova, Padova, Italy. 7. Padova Neuroscience Center, University of Padova, Padova, Italy. 8. Department of Geriatric Care, Orthogeriatrics and Rehabilitation, E.O. Galliera Hospital, National Relevance & High Specialization Hospital, Genoa, Italy. 9. Department of Interdisciplinary Medicine, University of Bari, Bari, Italy.
Abstract
OBJECTIVES: The multidimensional prognostic index (MPI) is a useful prognostic tool for evaluating adverse health outcomes in older individuals. However, the association between MPI and depressive symptoms has never been explored, despite depression being a common condition in older people. We therefore aimed to evaluate whether MPI may predict incident depressive symptoms. METHODS: Longitudinal, cohort study, with 2 years of follow-up (W1: October 2009-February 2011; W2: April 2012-January 2013), including people aged ≥65 years without depressive symptoms at baseline. A comprehensive geriatric assessment including information on functional, nutritional, cognitive status, mobility, comorbidities, medications, and cohabitation status was used to calculate the MPI dividing the participants into low, moderate, or severe risk. Those who scored ≥16/60 with the Center of Epidemiology Studies Depression (CES-D) tool were considered to have depressive symptoms. Multivariable logistic regression models were built to explore the association between MPI and incident depressive symptoms. RESULTS: The sample consisted of 1854 participants (mean age: 72.8 ± SD 5.1 years; females: 52.1%). The prevalence of incident depressive symptoms by MPI tertiles at baseline were: low 2.5%, moderate 3.9%, and severe 6.7%. In multivariable analyses, baseline MPI values were significantly associated with incident depressive symptoms (increase in 0.1 points in MPI: odds ratio, OR = 1.47; 95% confidence intervals, CI: 1.17-1.85; MPI tertile severe vs low: OR = 2.96; 95%CI: 1.50-5.85). CONCLUSION: Baseline MPI values were associated with incident depressive symptoms indicating that multidimensional assessment of older people may lead to early identification of individuals at increased risk of depression onset.
OBJECTIVES: The multidimensional prognostic index (MPI) is a useful prognostic tool for evaluating adverse health outcomes in older individuals. However, the association between MPI and depressive symptoms has never been explored, despite depression being a common condition in older people. We therefore aimed to evaluate whether MPI may predict incident depressive symptoms. METHODS: Longitudinal, cohort study, with 2 years of follow-up (W1: October 2009-February 2011; W2: April 2012-January 2013), including people aged ≥65 years without depressive symptoms at baseline. A comprehensive geriatric assessment including information on functional, nutritional, cognitive status, mobility, comorbidities, medications, and cohabitation status was used to calculate the MPI dividing the participants into low, moderate, or severe risk. Those who scored ≥16/60 with the Center of Epidemiology Studies Depression (CES-D) tool were considered to have depressive symptoms. Multivariable logistic regression models were built to explore the association between MPI and incident depressive symptoms. RESULTS: The sample consisted of 1854 participants (mean age: 72.8 ± SD 5.1 years; females: 52.1%). The prevalence of incident depressive symptoms by MPI tertiles at baseline were: low 2.5%, moderate 3.9%, and severe 6.7%. In multivariable analyses, baseline MPI values were significantly associated with incident depressive symptoms (increase in 0.1 points in MPI: odds ratio, OR = 1.47; 95% confidence intervals, CI: 1.17-1.85; MPI tertile severe vs low: OR = 2.96; 95%CI: 1.50-5.85). CONCLUSION: Baseline MPI values were associated with incident depressive symptoms indicating that multidimensional assessment of older people may lead to early identification of individuals at increased risk of depression onset.
Authors: Alberto Cella; Nicola Veronese; Monica Pomata; Katerin Leslie Quispe Guerrero; Clarissa Musacchio; Barbara Senesi; Camilla Prete; Erica Tavella; Ekaterini Zigoura; Giacomo Siri; Alberto Pilotto Journal: Int J Environ Res Public Health Date: 2021-11-26 Impact factor: 3.390
Authors: Nicola Veronese; Marianna Noale; Alberto Cella; Carlo Custodero; Lee Smith; Marina Barbagelata; Stefania Maggi; Mario Barbagallo; Carlo Sabbà; Luigi Ferrucci; Alberto Pilotto Journal: Qual Life Res Date: 2022-05-17 Impact factor: 3.440