In recent years, aging has become a focal point of scientific research and health policies due to the growing demographic trend of an aging worldwide population. Understanding the protective and risk factors that influence aging trajectories is crucial for designing targeted interventions that support healthy aging and improve people’s quality of life. The aim of this study was to explore the relationships between variables of aging. A total of 103 Italian participants (55–75 years old) underwent multidimensional assessments that covered cognitive, functional, emotional, and quality of life dimensions. Structural equation modeling was used to analyze the data and elucidate the relationships between depression, quality of life, cognitive reserve, executive functions, and daily autonomy. The findings revealed that a higher quality of life was associated with reduced depressive symptoms. In addition, cognitive reserve emerged as a protective factor positively correlated with both quality of life and daily autonomy. In this study, quality of life was determined using physical health, psychological, social relationships, and environmental domains. Identifying the significant relationships between these variables in a sample of late adults and young-aged people has given us useful elements for designing psycho-educational interventions that can be aimed at preventing frailty in later old age or supporting healthy longevity.

(2024). A Structural Equation Model for Understanding the Relationship between Cognitive Reserve, Autonomy, Depression and Quality of Life in Aging [journal article - articolo]. In INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. Retrieved from https://hdl.handle.net/10446/281249

A Structural Equation Model for Understanding the Relationship between Cognitive Reserve, Autonomy, Depression and Quality of Life in Aging

Gattuso, Maria;Butti, Stefania;Laureano Beninca, Inaiha;Greco, Andrea;Morganti, Francesca
2024-01-01

Abstract

In recent years, aging has become a focal point of scientific research and health policies due to the growing demographic trend of an aging worldwide population. Understanding the protective and risk factors that influence aging trajectories is crucial for designing targeted interventions that support healthy aging and improve people’s quality of life. The aim of this study was to explore the relationships between variables of aging. A total of 103 Italian participants (55–75 years old) underwent multidimensional assessments that covered cognitive, functional, emotional, and quality of life dimensions. Structural equation modeling was used to analyze the data and elucidate the relationships between depression, quality of life, cognitive reserve, executive functions, and daily autonomy. The findings revealed that a higher quality of life was associated with reduced depressive symptoms. In addition, cognitive reserve emerged as a protective factor positively correlated with both quality of life and daily autonomy. In this study, quality of life was determined using physical health, psychological, social relationships, and environmental domains. Identifying the significant relationships between these variables in a sample of late adults and young-aged people has given us useful elements for designing psycho-educational interventions that can be aimed at preventing frailty in later old age or supporting healthy longevity.
francesca.morganti@unibg.it
CHL - Centre for Healthy Longevity
articolo
2024
Inglese
online
21
9
1
12
esperti anonimi
Settore PSIC-01/A - Psicologia generale
Settore PSIC-01/B - Neuropsicologia e neuroscienze cognitive
Settore PSIC-01/C - Psicometria
aging; health; quality of life; depression; cognitive reserve; SEM
   Development and testing of psycho-promotion indicators for a successful aging in old-adults
   MUR - MINISTERO DELL'UNIVERSITA' E DELLA RICERCA - Segretariato generale Direzione generale della ricerca - Ufficio IV
   2022RAESSJ_01
Gattuso, Maria; Butti, Stefania; LAUREANO BENINCÁ, Inaihá; Greco, Andrea; Di Trani, Michela; Morganti, Francesca
info:eu-repo/semantics/article
open
(2024). A Structural Equation Model for Understanding the Relationship between Cognitive Reserve, Autonomy, Depression and Quality of Life in Aging [journal article - articolo]. In INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. Retrieved from https://hdl.handle.net/10446/281249
Non definito
6
1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays
262
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/281249
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