: 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.

A Structural Equation Model for Understanding the Relationship between Cognitive Reserve, Autonomy, Depression and Quality of Life in Aging / Gattuso, Maria; Butti, Stefania; Benincá, Inaihá; Greco, Andrea; Di Trani, Michela; Morganti, Francesca. - In: INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. - ISSN 1660-4601. - 21:9(2024). [10.3390/ijerph21091117]

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

Gattuso, Maria;Greco, Andrea;Di Trani, Michela;Morganti, Francesca
2024

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.
2024
SEM; aging; cognitive reserve; depression; health; quality of life
01 Pubblicazione su rivista::01a Articolo in rivista
A Structural Equation Model for Understanding the Relationship between Cognitive Reserve, Autonomy, Depression and Quality of Life in Aging / Gattuso, Maria; Butti, Stefania; Benincá, Inaihá; Greco, Andrea; Di Trani, Michela; Morganti, Francesca. - In: INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. - ISSN 1660-4601. - 21:9(2024). [10.3390/ijerph21091117]
File allegati a questo prodotto
File Dimensione Formato  
Gattuso_structural_equation_model_2024.pdf

accesso aperto

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 714.75 kB
Formato Adobe PDF
714.75 kB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1727218
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact