Journal
BMC GERIATRICS
Volume 22, Issue 1, Pages -Publisher
BMC
DOI: 10.1186/s12877-022-03251-9
Keywords
Ageing; Clinical complexity; Elderly; Multimorbidity
Categories
Funding
- San Matteo Hospital Foundation-Italian Ministry of Health
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This study aimed to explore the relationship between resilience and frailty, as well as other clinical and sociodemographic characteristics in an internal medicine setting. The findings showed that frailty, age, dependency, clinical and cognitive impairment, and low educational status were significantly associated with lower resilience. Additionally, frail patients differed significantly from non-frail patients in terms of age, disease burden, dependency, cognitive impairment, and educational level. Age and dependency were found to have negative effects on resilience in different age groups.
Background: Little is known about resilience in an internal medicine setting. We aimed to assess the relationship between resilience and frailty and other clinical and sociodemographic characteristics in a cohort of prospectively enrolled hospitalised patients. Methods: In 2017-2019, we consecutively enrolled patients in our internal medicine wards. We selected all patients who filled in the 25-item Connor-Davidson resilience scale (CD-RISC). Mean resilience was evaluated according to baseline demographic (i.e., age, sex, marital and socioeconomic status) and clinical (i.e., Cumulative Illness Rating Scale [CIRS], Edmonton Frail Scale [EFS], Barthel index, Short Blessed test, length of stay [LOS]) data. A multivariable analysis for assessing factors affecting resilience was fitted. Results: Overall, 143 patients (median age 69 years, interquartile range 52-79, 74 females) were included. Resilience was significantly lower in frail (p = 0.010), elderly (p = 0.021), dependent (p = 0.032), and more clinically (p = 0.028) and cognitively compromised patients (p = 0.028), and in those with a low educational status (p = 0.032). No relation between resilience and LOS was noticed (p = 0.597). Frail patients were significantly older (p < 0.001), had a greater disease burden as measured by CIRS comorbidity (p < 0.001) and severity indexes (p < 0.001), were more dependent (p < 0.001), more cognitively impaired (p < 0.001), and displayed a lower educational level (p = 0.011) compared to non-frail patients. At multivariable analysis, frailty (p = 0.022) and dependency (p = 0.031; according to the Barthel index) were associated with lower resilience in the age groups 18-64 and >= 65 years, respectively. Conclusions: Low resilience was associated with frailty and dependency with an age-dependent fashion. Studies assessing the impact of this finding on important health outcomes are needed.
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