Abstract

Lower extremity skeletal muscle mass (LESM) in Type 2 Diabetes (T2D) has been linked to adverse clinical events, but it is not known whether it is associated with cognitive difficulties. We conducted a cross-sectional study on 1,235 people (mean age 61.4 ± 8.0 years) with T2D under primary and secondary care in Singapore. Bioelectrical impedance analyses (BIA) measures of upper extremity skeletal muscle mass (UESM), LESM and appendicular skeletal muscle index (SMI) were related to the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) measures of cognition, in multiple linear regression. In multivariable models, tertile 1 LESM (b = −2.62 (−3.92 to −1.32)) and tertile 2 LESM (b = −1.73 (−2.73 to −0.73)), referenced to tertile 3) were significantly associated with decreased RBANS total score. Significant associations of LESM with cognitive domain performances were observed for tertile 1 (b = −3.75 (−5.98 to −1.52)) and tertile 2 (b = −1.98 (−3.69 to −0.27)) with immediate memory, and for tertile 1 (b = −3.05 (−4.86 to −1.24)) and tertile 2 (b = −1.87 (−3.25 to −0.48)) with delayed memory, and for tertile 1 (b = −2.99 (−5.30 to −0.68)) with visuospatial/constructional ability. Tertile 1 SMI (b = −1.94 (−3.79 to −0.08) and tertile 2 SMI (b = −1.75 (−3.14 to −0.37)) were also associated with delayed memory. There were no associations between UESM with cognitive performance. Lower LESM may be a useful marker of possible co-occuring cognitive dysfunction.

Details

Title
Association between Lower Extremity Skeletal Muscle Mass and Impaired Cognitive Function in Type 2 Diabetes
Author
Low, Serena 1   VIAFID ORCID Logo  ; Ng, Tze Pin 2 ; Lim Chin Leong 3   VIAFID ORCID Logo  ; Moh, Angela 4 ; Ang, Su Fen 4 ; Wang, Jiexun 4 ; Sern, Goh Kiat 5 ; Ang Keven 4 ; Tang, Wern Ee 6 ; Kwan Pek Yee 6 ; Subramaniam Tavintharan 7 ; Sum Chee Fang 7 ; Lim, Su Chi 8 

 Diabetes Centre, Admiralty Medical Centre, Singapore, Block 676, Level 4, Kampung Admiralty, Singapore, Singapore; Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, Singapore (GRID:grid.415203.1) (ISNI:0000 0004 0451 6370) 
 Gerontology Research Programme, Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System Tower Block, Level 9, Singapore, Singapore (GRID:grid.4280.e) (ISNI:0000 0001 2180 6431) 
 Lee Kong Chian School of Medicine, Nanyang Technological University, Clinical Sciences Building, Singapore, Singapore (GRID:grid.59025.3b) (ISNI:0000 0001 2224 0361) 
 Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, Singapore (GRID:grid.415203.1) (ISNI:0000 0004 0451 6370) 
 Department of Geriatrics, Changi General Hospital, Singapore, Singapore, Singapore (GRID:grid.413815.a) (ISNI:0000 0004 0469 9373) 
 National Healthcare Group Polyclinics, Singapore, 3 Fusionopolis Link, Nexus@one-north, South Tower, Singapore, Singapore (GRID:grid.466910.c) (ISNI:0000 0004 0451 6215) 
 Diabetes Centre, Admiralty Medical Centre, Singapore, Block 676, Level 4, Kampung Admiralty, Singapore, Singapore (GRID:grid.466910.c) 
 Diabetes Centre, Admiralty Medical Centre, Singapore, Block 676, Level 4, Kampung Admiralty, Singapore, Singapore (GRID:grid.466910.c); Clinical Research Unit, Khoo Teck Puat Hospital, Singapore, Singapore (GRID:grid.415203.1) (ISNI:0000 0004 0451 6370); Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore (GRID:grid.4280.e) (ISNI:0000 0001 2180 6431) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2358530331
Copyright
This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.