Abstract
Purpose
This study aimed to investigate the association between grip strength as diagnostic criteria of sarcopenia and health-related quality of life (HRQL) in Korean elderly.
Methods
Data were obtained through the 2014−2015 Korea National Health and Nutrition Examination Survey (6th KNHANES), targeting a total of 3,096 elderlies (over 60 years old). Grip strength was measured and divided into four quartiles, and the lower quartile was used as the muscle strength criterion for sarcopenia. The EuroQol-5 Dimension (EQ-5D) questionnaire was used to measure HRQL and classified as poor HRQL when the EQ-5D index was less than 1. Complex sample design logistic regression was used to evaluate the odds ratio (OR) and 95% confidence interval (CI) of prevalence of poor HRQL associated with sarcopenia.
References
1. Kim TN, Choi KM. Sarcopenia: definition, epidemiology, and pathophysiology. J Bone Metab. 2013; 20:1–10.
2. Paddon-Jones D, Short KR, Campbell WW, Volpi E, Wolfe RR. Role of dietary protein in the sarcopenia of aging. Am J Clin Nutr. 2008; 87:1562S–1566S.
3. Sayer AA, Syddall H, Martin H, Patel H, Baylis D, Cooper C. The developmental origins of sarcopenia. J Nutr Health Aging. 2008; 12:427–32.
4. Chen LK, Lee WJ, Peng LN, et al. Recent advances in sarcopenia research in Asia: 2016 update from the Asian working group for sarcopenia. J Am Med Dir Assoc. 2016; 17:767. .e1–7.
5. Roubenoff R, Harris TB, Abad LW, Wilson PW, Dallal GE, Dinarello CA. Monocyte cytokine production in an elderly population: effect of age and inflammation. J Gerontol A Biol Sci Med Sci. 1998; 53:M20–6.
7. Jones TE, Stephenson KW, King JG, Knight KR, Marshall TL, Scott WB. Sarcopenia: mechanisms and treatments. J Geriatr Phys Ther. 2009; 32:83–9.
8. Roubenoff R. Catabolism of aging: is it an inflammatory process? Curr Opin Clin Nutr Metab Care. 2003; 6:295–9.
9. Evans WJ, Campbell WW. Sarcopenia and age-related changes in body composition and functional capacity. J Nutr. 1993; 123(2 Suppl):465–8.
10. Cruz-Jentoft AJ, Baeyens JP, Bauer JM, et al. Sarcopenia: European consensus on definition and diagnosis. Report of the European working group on sarcopenia in older people. Age Ageing. 2010; 39:412–23.
11. Manini TM, Clark BC. Dynapenia and aging: an update. J Gerontol A Biol Sci Med Sci. 2012; 67:28–40.
12. Chen LK, Liu LK, Woo J, et al. Sarcopenia in Asia: consensus report of the Asian working group for sarcopenia. J Am Med Dir Assoc. 2014; 15:95–101.
13. Busschbach JJ, McDonnell J, Essink-Bot ML, van Hout BA. Estimating parametric relationships between health description and health valuation with an application to the EuroQol EQ-5D. J Health Econ. 1999; 18:551–71.
14. Kim M, Bae SH. Factors influencing health-related quality of life in older adults with osteoarthritis: based on the 2010–2011 Korea National Health and Nutrition Examination Survey. J Muscle Joint Health. 2014; 21:195–205.
15. Kim MH, Cho YS, Uhm WS, Kim S, Bae SC. Cross-cultural adaptation and validation of the Korean version of the EQ-5D in patients with rheumatic diseases. Qual Life Res. 2005; 14:1401–6.
16. Lee YH, Choi JS, Rhee JA, Ryu SY, Shin MH, Kim JH. A study on the application of the Korean valuation weights for EuroQoL-5 dimension. Korean J Health Educ Promot. 2009; 26:1–13.
17. Lim NY, Lee I, Lee EN, et al. A validation study of EQ-5D in the patients with osteoarthritis. J Muscle Joint Health. 2010; 17:203–11.
18. Lee SI. Validity and reliability evaluation for EQ-5D in Korea. Cheongju: Korea Centers for Disease Control and Prevention;2011.
19. Cheung K, Oemar M, Oppe M, Rabin R. EQ-5D user guide: basic information on how to use EQ-5D. Rotterdam: EuroQol Group;2009.
20. Lauretani F, Russo CR, Bandinelli S, et al. Age-associated changes in skeletal muscles and their effect on mobility: an operational diagnosis of sarcopenia. J Appl Physiol (1985). 2003; 95:1851–60.
21. Mitchell WK, Williams J, Atherton P, Larvin M, Lund J, Narici M. Sarcopenia, dynapenia, and the impact of advancing age on human skeletal muscle size and strength; a quantitative review. Front Physiol. 2012; 3:260.
22. Choi GJ, Ko BG, Song HS, et al. The development of physical fitness test battery and evaluation criteria of it for Korean elderly person. Korean J Meas Eval Phys Educ Sport Sci. 2014; 16:15–30.
23. Park SJ, Ko BG, Chung JW, et al. Fitness cutoff values for frailty in Korean elderly women: national fitness award for elderly. Korean J Sport Sci. 2015; 26:243–53.
24. Fried LP, Tangen CM, Walston J, et al. Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci. 2001; 56:M146–56.
25. Kim JK. Anorexia and weight loss [Internet]. Seoul (KR): Korean Society of Internal Medicine;2012. [cited 2018 Feb 27]. Available from:. http://www.ekjm.org/upload/42845435.pdf.
26. Sayer AA, Syddall HE, Martin HJ, Dennison EM, Roberts HC, Cooper C. Is grip strength associated with health-related quality of life? Findings from the Hertfordshire cohort study. Age Ageing. 2006; 35:409–15.
27. Go SW, Cha YH, Lee JA, Park HS. Association between Sarcopenia, bone density, and health-related quality of life in Korean men. Korean J Fam Med. 2013; 34:281–8.
28. Kim YS, Lee Y, Chung YS, et al. Prevalence of sarcopenia and sarcopenic obesity in the Korean population based on the Fourth Korean National Health and Nutritional Examination Surveys. J Gerontol A Biol Sci Med Sci. 2012; 67:1107–13.
Table 1.
Table 2.
Variable |
Male | Female | |
---|---|---|---|
Mean (95% CI) | Mean (95% CI) | ||
Grip strength | 60−64 | 39.99 (39.26−40.71) | 24.94 (24.49−25.40) |
65−69 | 37.57 (36.89−38.25) | 23.44 (22.97−23.91) | |
70−74 | 34.48 (33.79−35.18) | 21.93 (21.45−22.41) | |
75−80 | 31.33 (30.56−32.09) | 19.54 (19.01−20.06) | |
1/4 Quartile | 27.27 (26.83−27.70) | 16.11 (15.84−16.38) | |
2/4 Quartile | 33.66 (33.48−33.84) | 21.01 (20.90−21.11) | |
3/4 Quartile | 38.18 (38.03−38.32) | 24.09 (23.99−24.18) | |
4/4 Quartile | 44.54 (44.13−44.96) | 28.18 (27.96−28.39) | |
1/4 Quartile cut value | >31.3 | >19.2 | |
Relative grip strength* | 60−64 | 59.78 (58.80−60.78) | 43.37 (42.51−44.22) |
65−69 | 57.35 (56.18−58.52) | 41.05 (40.11−41.99) | |
70−74 | 53.40 (52.08−54.72) | 39.10 (38.21−39.99) | |
75−80 | 51.28 (49.98−52.59) | 36.71 (35.71−37.70) | |
1/4 Quartile | 42.40 (41.70−43.09) | 29.16 (28.68−29.64) | |
2/4 Quartile | 52.84 (52.65−53.03) | 37.25 (37.06−37.43) | |
3/4 Quartile | 59.02 (58.79−59.23) | 43.00 (42.82−43.18) | |
4/4 Quartile | 68.78 (68.09−69.47) | 50.88 (50.88−51.28) | |
1/4 Quartile cut value | >49.3 | >34.1 |
Table 3.
Variable |
Sarcopenia (1/4 quartile in grip strength) |
Poor quality of life (EQ-5D score >1) |
||
---|---|---|---|---|
Male | Female | Male | Female | |
Age (yr) | * | * | * | *, † |
60−64 | 7.1 (4.7−10.5) | 7.6 (5.3−10.8) | 28.4 (23.5−33.8) | 39.5 (34.4−44.8) |
65−69 | 12.9 (10.0−16.5) | 15.3 (1.7−19.7) | 38.2 (33.0−43.6) | 55.3 (50.2−60.4) |
70−74 | 28.0 (23.0−33.5) | 24.1 (19.4−29.5) | 36.4 (30.9−42.3) | 56.7 (51.1−62.1) |
75−80 | 52.7 (46.7−58.6) | 46.6 (41.1−52.2) | 45.4 (39.9−50.9) | 69.1 (63.6−74.0) |
Academic achievement | * | *, † | * | *, † |
Elementary school | 29.9 (25.7−34.5) | 30.1 (26.9−33.5) | 45.6 (40.9−50.4) | 61.6 (58.2−64.9) |
Middle school | 21.7 (16.7−27.7) | 2.3 (8.3−17.9) | 34.1 (27.9−40.9) | 32.4 (35.5−49.6) |
High school | 16.3 (12.5−21.0) | 8.0 (5.2−12.2) | 34.4 (29.1−40.1) | 44.5 (37.2−52.1) |
College | 18.7 (13.3−25.7) | 11.3 (6.5−18.9) | 20.9 (15.8−27.0) | 31.1 (21.8−42.2) |
House income | * | * | * | *, † |
1/4 | 36.8 (31.8−42.2) | 32.1 (28.3−36.1) | 44.1 (38.9−49.4) | 64.5 (60.2−68.6) |
2/4 | 19.3 (15.6−23.7) | 20.0 (16.1−24.5) | 37.4 (32.5−42.7) | 52.6 (47.0−58.2) |
3/4 | 17.3 (13.1−22.3) | 19.2 (14.5−25.1) | 32.6 (26.8−39.0) | 49.3 (42.8−55.7) |
4/4 | 11.6 (7.7−17.2) | 10.5 (6.7−16.0) | 25.1 (19.3−31.9) | 37.0 (30.2−44.3) |
Spousal status | * | *, † | * | *, † |
Living together | 21.3 (18.8−24.1) | 17.5 (14.8−20.6) | 33.7 (30.7−36.8) | 49.5 (45.7−53.3) |
Separated | 36.4 (28.5−45.0) | 31.7 (27.6−35.9) | 59.3 (50.5−67.6) | 62.1 (57.5−66.5) |
Smoking | – | – | – | *, † |
Current | 18.2 (13.9−23.5) | 39.5 (23.5−58.0) | 37.3 (31.4−43.6) | 71.8 (53.4−85.0) |
Non | 24.5 (21.2−28.1) | 38.9 (23.8−56.4) | 38.0 (34.3−41.9) | 77.4 (62.9−87.4) |
Never | 23.6 (18.3−29.9) | 22.7 (20.2−25.5) | 28.8 (22.7−35.7) | 53.7 (50.8−56.6) |
Alcohol | * | *, † | – | † |
Never | 26.5 (22.0−31.5) | 20.5 (17.4−24.0) | 38.6 (33.4−44.1) | 57.1 (52.9−61.1) |
>1/wk | 18.1 (14.0−23.0) | 15.1 (11.0−20.3) | 37.5 (32.4−42.8) | 47.2 (40.3−54.1) |
1/wk | 23.2 (19.5−27.3) | 30.4 (26.3−35.0) | 33.9 (29.7−38.3) | 55.8 (51.2−60.4) |
Weight loss in recent year | * | *, † | * | † |
No | 20.5 (18.0−23.3) | 22.7 (20.1−25.5) | 33.8 (30.8−36.9) | 55.0 (51.7−58.1) |
Yes | 33.8 (27.5−40.8) | 30.9 (23.6−39.3) | 47.8 (40.6−55.0) | 55.7 (49.1−62.1) |
Body mass index | * | *, † | – | † |
Under | 47.1 (31.4−63.4) | 49.0 (30.0−68.2) | 44.1 (28.3−61.1) | 64.3 (43.3−81.0) |
Normal | 24.0 (21.0−27.3) | 24.0 (20.8−27.5) | 35.4 (31.9−39.1) | 51.5 (47.6−55.4) |
Overweight | 18.4 (14.7−22.8) | 22.4 (18.8−26.5) | 36.9 (31.8−42.2) | 59.8 (55.2−64.2) |