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Lifestyle, Cognitive, and Psychological Factors Associated With a Resilience Phenotype in Aging: A Multidimensional Approach on a Population-Based Sample of Oldest-Old (80+).
Rolandi, Elena; Rossi, Michele; Colombo, Mauro; Pettinato, Laura; Del Signore, Federica; Aglieri, Virginia; Bottini, Gabriella; Guaita, Antonio.
Afiliación
  • Rolandi E; Golgi Cenci Foundation, Abbiategrasso, Milano, Italy.
  • Rossi M; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
  • Colombo M; Golgi Cenci Foundation, Abbiategrasso, Milano, Italy.
  • Pettinato L; Golgi Cenci Foundation, Abbiategrasso, Milano, Italy.
  • Del Signore F; Golgi Cenci Foundation, Abbiategrasso, Milano, Italy.
  • Aglieri V; Golgi Cenci Foundation, Abbiategrasso, Milano, Italy.
  • Bottini G; Fondazione Grigioni per il Morbo di Parkinson, Milano, Italy.
  • Guaita A; Parkinson Institute Milan, ASST Gaetano Pini CTO, Milano, Italy.
Article en En | MEDLINE | ID: mdl-39096236
ABSTRACT

OBJECTIVES:

To investigate the determinants of resilience phenotype in aging, operationalized as the maintenance of cognitive, physical, and psychological health in very old individuals (80+), we investigated the structure and interrelated impact of the main resilience-enhancing factors, which are usually studied in separate research fields.

METHODS:

Participants were older adults without dementia recruited for the fifth wave of the InveCe.Ab population-based cohort study (aged 83-87 years). Multidimensional evaluation comprised blood sampling, social and lifestyle survey, and geriatric and neuropsychological assessment. We classified resilient individuals as displaying normal cognition, functional independence, and mental health. First, we performed exploratory factor analysis (EFA) to examine the underlying structure of the relevant cognitive, lifestyle, physical, and psychological resilience-enhancing factors. The factors obtained were included as predictors of the resilience phenotype in the logistic regression model, controlling for sociodemographic and cumulative exposure to physical and psychosocial stressors, including COVID-19 infection.

RESULTS:

Among the 404 enrolled participants, 153 (38%) exhibited the resilience phenotype. EFA resulted in the identification of six factors (59% of variance) cognitive reserve, affective reserve, insecure attachment, current lifestyle, physical reserve, and avoidant attachment. Among these factors, cognitive reserve, affective reserve, and current lifestyle significantly and independently predicted resilience status, controlling for cumulative exposure to age-related stressors and COVID-19 infection.

DISCUSSION:

Our findings showed that, even in very old age, both early and late life modifiable factors affect individuals' ability to adapt to the aging process, thus confirming the importance of a life-course approach to improve health outcomes in the aged population. CLINICAL TRIALS REGISTRATION NUMBER NCT01345110.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Fenotipo / Envejecimiento / Resiliencia Psicológica / Reserva Cognitiva / Estilo de Vida Límite: Aged80 / Female / Humans / Male Idioma: En Revista: J Gerontol B Psychol Sci Soc Sci Asunto de la revista: CIENCIAS SOCIAIS / GERIATRIA / PSICOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Fenotipo / Envejecimiento / Resiliencia Psicológica / Reserva Cognitiva / Estilo de Vida Límite: Aged80 / Female / Humans / Male Idioma: En Revista: J Gerontol B Psychol Sci Soc Sci Asunto de la revista: CIENCIAS SOCIAIS / GERIATRIA / PSICOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Italia