Frailty state among Indonesian elderly: prevalence, associated factors, and frailty state transition
| العنوان: | Frailty state among Indonesian elderly: prevalence, associated factors, and frailty state transition |
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| المؤلفون: | Novira Widajanti, Purwita Wijaya Laksmi, Sri Sunarti, Siti Setiati, Sabrina Chusnul Chotimah, Euphemia Seto, Rahmi Istanti, Lazuardhi Dwipa, Laurentius Johan Ardian, I. G. P. Suka Aryana |
| المصدر: | BMC Geriatrics, Vol 19, Iss 1, Pp 1-10 (2019) BMC Geriatrics |
| بيانات النشر: | BMC, 2019. |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | Male, Gerontology, Frailty transition, Frail Elderly, medicine.medical_treatment, Nutritional Status, lcsh:Geriatrics, Prognostic factors, Prognostic score, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Elderly, Prevalence, medicine, Humans, Prospective Studies, 030212 general & internal medicine, Internal validation, Prospective cohort study, Geriatric Assessment, Aged, Aged, 80 and over, Rehabilitation, Frailty, business.industry, Middle Aged, language.human_language, Indonesian, lcsh:RC952-954.6, Cross-Sectional Studies, Multicenter study, Risk factors, Indonesia, Cohort, Quality of Life, language, Female, Functional status, Geriatrics and Gerontology, business, 030217 neurology & neurosurgery, Research Article |
| الوصف: | Background Information about frailty status and its transition is important to inform clinical decisions. Predicting frailty transition is beneficial for its prevention. While Indonesia is the 4th largest geriatric population in Asia, data about frailty transition is limited. This study aimed to obtain data on prevalence of frailty, its risk factors, frailty state transition and its prognostic factors, as well as to develop prognostic score for frailty state transition. Methods Multicenter study on subjects aged ≥60 years old was done to obtain the prevalence of frailty status and to identify risk factors of frailty. Prospective cohort over 12 months was done to obtain data on frailty state transition. Multiple logistic regression analysis was performed to identify its prognostic factors from several clinical data, which then were utilized to develop prognostic score for frailty state worsening. Results Cross-sectional data from 448 subjects showed that 25.2% of the subjects were frail based on Frailty index-40 items. Risk factors of frailty were age (OR 2.72; 95% CI 1.58–4.76), functional status (OR 2.89; 95% CI 1.79–4.67), and nutritional status (OR 3.75; 95% CI 2.29–6.13). Data from the 162 subjects who completed the cohort showed 27.2% of the cohort had frailty state worsening. Prognostic factors for frailty state worsening were being 70 years or older (OR 3.9; 95% CI 1.2–12.3, p |
| اللغة: | English |
| تدمد: | 1471-2318 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f59dea766e4a4f300255dbccf8bd3f8 http://link.springer.com/article/10.1186/s12877-019-1198-8 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....8f59dea766e4a4f300255dbccf8bd3f8 |
| قاعدة البيانات: | OpenAIRE |
Find this article in full text from Springer Verlag. | تدمد: | 14712318 |
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