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Wang Y, Xu J, Yang S, Jiang J, Gao J. Exploratory graph analysis on the Connor-Davidson Resilience Scale (CD-RISC) among older adults in China. Sci Rep 2023; 13:19971. [PMID: 37968334 PMCID: PMC10651855 DOI: 10.1038/s41598-023-46854-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Accepted: 11/06/2023] [Indexed: 11/17/2023] Open
Abstract
It is important for healthy aging to understand resilience in depth. This study aims to examine the dimensional structure underlying the Connor-Davidson Resilience Scale (CD-RISC) among Chinese older adults. Exploratory Graph Analysis (EGA) was used to evaluate the dimensional structure of CD-RISC in two large samples: training sample (n = 11,493) and cross-validation sample (n = 7662). Then, Confirmatory Factor Analysis (CFA) was used to compare the fit of the theoretical dimensions with the EGA dimensions. Finially, Generalized Linear Model was used to examine the association between resilience scores and self-rated health (SRH) after controlling other covariates in order to evaluate the predictive value of the EGA dimensions. The EGA indicated two demensions(named foresight and self-adjustment) of the 25-item CD-RISC. The CFA comparison found that the two-demension structure of CD-RISC fit significantly better than the theoretical three-demension structure. After controlling for sociodemographic characteristics, generalized linear model showed that the EGA dimensions has better protective value with SRH. Compared with older adults with lowest quartile of foresight, those with second (odds ratio, OR = 0.68, 95% CI = 0.62 ~ 0.75), third (OR = 0.50, 95% CI = 0.45 ~ 0.56) and fourth quartile (OR = 0.42, 95% CI = 0.37 ~ 0.48) of foresight had lower odds ratio of poor SRH. Similarly, older adults with the second (OR = 1.11, 95% CI = 1.01 ~ 1.23) and fourth (OR = 0.79, 95% CI = 0.69 ~ 0.90) quartile of self-adjustment also had lower OR of poor SRH than those with lowest quartile of self-adjustment. These findings show that EGA outperforms the traditional methods, which may be helpful to understand resilience deeply. CD-RISC should be interpreted into two aspects among community-dwelling older adults in China, highlighting the significance of the practical value and cultural context of resilience.
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Affiliation(s)
- Yujie Wang
- School of Public Health, Fudan University, Shanghai, China
| | - Jixiang Xu
- School of Public Health, Fudan University, Shanghai, China
| | - Shitong Yang
- School of Public Health, Fudan University, Shanghai, China
| | - Junjia Jiang
- School of Public Health, Fudan University, Shanghai, China
| | - Junling Gao
- School of Public Health, Fudan University, Shanghai, China.
- Collaborative Innovation Cooperative Unit of National Clinical Research Center for Geriatric Diseases, Shanghai, China.
- Core Unit of Shanghai Clinical Research Center for Geriatric Diseases, Shanghai, China.
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Quattropani MC, Sardella A, Basile G. The other side of the coin: Dispositional optimism, frailty, and negative life events in aging. J Am Geriatr Soc 2022; 70:3654-3655. [PMID: 36200512 DOI: 10.1111/jgs.18081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 09/18/2022] [Indexed: 12/24/2022]
Affiliation(s)
| | - Alberto Sardella
- Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Giorgio Basile
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy
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Faria ADCA, Martins MMFPS, Ribeiro OMPL, Ventura-Silva JMA, Fonseca EF, Ferreira LJM, Teles PJFC, Laredo-Aguilera JA. Multidimensional Frailty and Lifestyles of Community-Dwelling Older Portuguese Adults. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:14723. [PMID: 36429441 PMCID: PMC9691079 DOI: 10.3390/ijerph192214723] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 11/04/2022] [Accepted: 11/05/2022] [Indexed: 06/16/2023]
Abstract
(1) Background: Lifestyles are referred to as conditioning factors for the frailty of older adults. However, there are few studies that explore its association. The objective of the present study is to analyze the association between sociodemographic, clinical, and lifestyle factors of older adults people with multidimensional frailty. (2) Methods: Descriptive and correlational study carried out with older adults people registered in a Health Unit in Portugal. Data were collected through a sociodemographic and clinical questionnaire and application of the Individual Lifestyle Profile and Tilburg Frailty Index to assess the lifestyles and multidimensional frailty of older adults, respectively. This last instrument, being of a multidimensional nature, assesses not only physical, but also psychological and social frailty, with a cut-off point of 6. (3) Results: Of the 300 older adults who participated, most were female (60.3%) and had a mean age of 81.34 ± 6.75 years. Moreover, 60.3% of the sample were frail older adults. Gender, marital status, number of household members, number of chronic diseases, number of daily medications, self-perception of health status and lifestyle and use of a walking device were associated with multidimensional frailty (p ≤ 0.001). Healthy eating habits, physical activity, relational behaviour, preventive behaviour, and stress management were significantly associated with lower physical, psychological, and social frailty (p ≤ 0.001). (4) Conclusions: When community health workers are aware of multidimensional frailty predictors and their components, they can intervene early and, consequently, delay the onset and progression of frailty in older adults.
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Affiliation(s)
- Ana da Conceição Alves Faria
- Abel Salazar Biomedical Sciences Institute, University of Porto, Rua Jorge de Viterbo Ferreira 228, 4050-313 Porto, Portugal
- North Region Health Administration, 4000-447 Porto, Portugal
- CINTESIS@RISE, 4050-313 Porto, Portugal
| | | | | | - João Miguel Almeida Ventura-Silva
- Abel Salazar Biomedical Sciences Institute, University of Porto, Rua Jorge de Viterbo Ferreira 228, 4050-313 Porto, Portugal
- Centro Hospitalar Universitário de São João, 4200-319 Porto, Portugal
| | | | | | - Paulo João Figueiredo Cabral Teles
- School of Economics, University of Porto, 4200-465 Porto, Portugal
- Laboratory of Artificial Intelligence and Decision Support—INESC Porto LA, 4200-465 Porto, Portugal
| | - José Alberto Laredo-Aguilera
- Facultad de Fisioterapia y Enfermería, Campus de Fábrica de Armas, Universidad de Castilla-La Mancha, Av de Carlos III, nº 21, 45071 Toledo, Spain
- Multidisciplinary Research Group in Care (IMCU), University of Castilla-La Mancha, 45005 Toledo, Spain
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