Prevalence and associated factors of sarcopenia and severe sarcopenia in older Taiwanese living in rural community: The Tianliao Old People study 04. (February 2014)

• Record Type: Journal Article
• Authors: Wu, Chih‐Hsing; Chen, Kuan‐Ting; Hou, Meng‐Tzu; Chang, Yin‐Fan; Chang, Chin‐Sung; Liu, Ping‐Yen; Wu, Shin‐Jiuan; Chiu, Ching‐Ju; Jou, I‐Ming; Chen, Chuan‐Yu
• Other Names: Akishita Masahiro guestEditor.; Arai Hidenori guestEditor.; Chen Liang‐Kung guestEditor.
• Is Part Of: Geriatrics and gerontology international. Volume 14(2014)Supplement 1
• Page Start: 69
• Page End: 75
• Publication Date: 2014-02
• Subjects: bioelectrical impedance analysis -- Mini‐Nutritional Assessment -- short physical performance battery -- skeletal muscle mass; Geriatrics -- Periodicals; Gerontology -- Periodicals; Geriatrics -- Japan -- Periodicals; Gerontology -- Japan -- Periodicals; 618.97
• DOI: 10.1111/ggi.12233
• Languages: English
• ISSNs: 1444-1586

Abstract

Abstract : Aim: The aim of the present study was to show the prevalence and associated factors of sarcopenia and severe sarcopenia in rural community‐dwelling older Taiwanese. Methods: Using the whole community sampling method, a total of 285 men and 264 women aged over 65 years were randomly sampled (response rate = 50%) from Tianliao District, southern Taiwan, in 2012. Participants were interviewed by trained investigators to complete a validated structural questionnaire. Body composition was measured by bioelectrical impedance analysis, and skeletal muscle mass was estimated by Janssen's equation. The Mini‐Nutritional Assessment (MNA) score, Short Portable Mental Status Questionnaire, grip strength, gait speed and short physical performance battery (SPPB) were obtained by the standard procedures. Sarcopenia and severe sarcopenia were defined according to the 2010 consensus of the Report of the European Working Group on Sarcopenia in Older People. Results: Of the 549 study participants, 39 (7.1%) were classified as having sarcopenia and 31 (5.6%) participants were classified as having severe sarcopenia. Using multiple logistic regression models, the age, sex, working status, waist circumference, body mass index, hypertensive history, MNA and SPPB score were independently associated with different stages of sarcopenia. Conclusions: Approximately one‐fifth of community‐dwelling older adults were facing the threat of sarcopenia in southern Taiwan. The older age, female sex, lower body mass index, higher waist circumference, a history of hypertension, lower MNA or SPPB score and not working regularly were associated factors for either sarcopenia or severe sarcopenia.Geriatr Gerontol Int 2014; 14 (Suppl. 1): 69–75.