Association of Comprehensive Geriatric Assessment’s Component and Sarcopenia in Elderly

Introduction. Sarcopenia is defined as a declined in skeletal muscle mass and strength along with its function may causes an increase in hospitalization, mortality, and health burden. Multi-factorial conditions of the aging process may cause sarcopenia. To assess those multi-factorial conditions in...

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Main Authors: Diar Meitha Wardhana, Novira Widajanti, Jusri Ichwani
Format: Article
Language:Indonesian
Published: Department of Internal Medicine, Faculty of Medicine Universitas Indonesia 2019-12-01
Series:Jurnal Penyakit Dalam Indonesia
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Online Access:http://jurnalpenyakitdalam.ui.ac.id/index.php/jpdi/article/view/370/210
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author Diar Meitha Wardhana
Novira Widajanti
Jusri Ichwani
author_facet Diar Meitha Wardhana
Novira Widajanti
Jusri Ichwani
author_sort Diar Meitha Wardhana
collection DOAJ
description Introduction. Sarcopenia is defined as a declined in skeletal muscle mass and strength along with its function may causes an increase in hospitalization, mortality, and health burden. Multi-factorial conditions of the aging process may cause sarcopenia. To assess those multi-factorial conditions in the elderly, a comprehensive geriatric assessment (CGA) method should be used, in which comprises of socio-demographic, medical, psychological, and functional domains. This research aims to analyze the components of CGA, including age, gender, nutritional status, mental status, and functional status as factors associated to sarcopenia in the elderly community in Surabaya. Methods. This community research was a cross sectional designed analytic observational study. The subjects were all elderly people visiting five chosen Posyandu, an integrated health service post, that meet the inclusion and exclusion criteria. A total of 308 data were collected and then bivariate and multivariate analyzes were performed to determine the components related to sarcopenia. Bivariate analysis was performed on components of age, sex, nutritional status, comorbidities, cognitive status, mental status, and functional status. Variables included in multivariate analysis were age, sex, nutritional status, comorbidities, cognitive status, and functional status. Results. The subjects were dominated by elderly females (74.7%). The median of age were 63 years (range 60-100 years). After performing multivariate analysis, three variables had the association to sarcopenia which were nutritional status assessed by MNA score ≤23.5 (OR 3.61, 95% CI 2.11–6.19), age ≥70 years old (OR 2.82, 95% CI 1.58–5.04), and male (OR 1,83, 95% CI 1,04–3,24). An area under curve (AUC) of 66.2% was obtained from the prediction model. Conclusion. The method of CGA has the power to predict sarcopenia of the elderly in the community as much as 66.2%.
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spelling doaj-art-28fa8e8fb92b46d4b4653a799a4ea9472025-08-20T02:01:09ZindDepartment of Internal Medicine, Faculty of Medicine Universitas IndonesiaJurnal Penyakit Dalam Indonesia2406-89692549-06212019-12-0164188195http://dx.doi.org/10.7454/jpdi.v6i4.370Association of Comprehensive Geriatric Assessment’s Component and Sarcopenia in ElderlyDiar Meitha Wardhana0Novira Widajanti1Jusri Ichwani2FK Universitas Airlangga - RSUD Dr Soetomo Surabaya IndonesiaFK Universitas Airlangga - RSUD Dr Soetomo Surabaya IndonesiaFK Universitas Airlangga - RSUD Dr Soetomo Surabaya IndonesiaIntroduction. Sarcopenia is defined as a declined in skeletal muscle mass and strength along with its function may causes an increase in hospitalization, mortality, and health burden. Multi-factorial conditions of the aging process may cause sarcopenia. To assess those multi-factorial conditions in the elderly, a comprehensive geriatric assessment (CGA) method should be used, in which comprises of socio-demographic, medical, psychological, and functional domains. This research aims to analyze the components of CGA, including age, gender, nutritional status, mental status, and functional status as factors associated to sarcopenia in the elderly community in Surabaya. Methods. This community research was a cross sectional designed analytic observational study. The subjects were all elderly people visiting five chosen Posyandu, an integrated health service post, that meet the inclusion and exclusion criteria. A total of 308 data were collected and then bivariate and multivariate analyzes were performed to determine the components related to sarcopenia. Bivariate analysis was performed on components of age, sex, nutritional status, comorbidities, cognitive status, mental status, and functional status. Variables included in multivariate analysis were age, sex, nutritional status, comorbidities, cognitive status, and functional status. Results. The subjects were dominated by elderly females (74.7%). The median of age were 63 years (range 60-100 years). After performing multivariate analysis, three variables had the association to sarcopenia which were nutritional status assessed by MNA score ≤23.5 (OR 3.61, 95% CI 2.11–6.19), age ≥70 years old (OR 2.82, 95% CI 1.58–5.04), and male (OR 1,83, 95% CI 1,04–3,24). An area under curve (AUC) of 66.2% was obtained from the prediction model. Conclusion. The method of CGA has the power to predict sarcopenia of the elderly in the community as much as 66.2%.http://jurnalpenyakitdalam.ui.ac.id/index.php/jpdi/article/view/370/210community-dwellingcomprehensive geriatric assessmentsarcopenia
spellingShingle Diar Meitha Wardhana
Novira Widajanti
Jusri Ichwani
Association of Comprehensive Geriatric Assessment’s Component and Sarcopenia in Elderly
Jurnal Penyakit Dalam Indonesia
community-dwelling
comprehensive geriatric assessment
sarcopenia
title Association of Comprehensive Geriatric Assessment’s Component and Sarcopenia in Elderly
title_full Association of Comprehensive Geriatric Assessment’s Component and Sarcopenia in Elderly
title_fullStr Association of Comprehensive Geriatric Assessment’s Component and Sarcopenia in Elderly
title_full_unstemmed Association of Comprehensive Geriatric Assessment’s Component and Sarcopenia in Elderly
title_short Association of Comprehensive Geriatric Assessment’s Component and Sarcopenia in Elderly
title_sort association of comprehensive geriatric assessment s component and sarcopenia in elderly
topic community-dwelling
comprehensive geriatric assessment
sarcopenia
url http://jurnalpenyakitdalam.ui.ac.id/index.php/jpdi/article/view/370/210
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