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Ann Geriatr Med Res > Volume 29(1); 2025 > Article
Piodena-Aportadera, Lau, Tan, Chew, Lim, Ismail, Ding, and Lim: Yubi-Wakka Test for Sarcopenia Screening: Influence of Abdominal Obesity on Diagnostic Performance
Sarcopenia and obesity represent emerging health problems globally especially in the aging population. Both are distinct entities yet share similar hormonal and inflammatory pathophysiological mechanisms,1,2) and clinical complications including frailty, falls, physical disability and mortality. When co-existent, the confluent result is a condition known as sarcopenic obesity (SO) which has reported prevalence rates ranging from 0.9% to 30.1% in older persons.3) SO may result in synergistic health implications with worse muscle function than either of these conditions alone,4) highlighting the need for effective detection methods in the community.
Calf circumference measured by trained personnel in the standing position has good discriminatory ability for sarcopenia case-finding amongst healthy community-dwelling older persons5) although the diagnostic performance may be attenuated in SO due to decreased sensitivity and resultant underdetection.6) The Yubi-Wakka (YW) or finger-ring test, an alternative to calf circumference measurement, is a self-administered, low cost and practicable screening test with good diagnostic performance for sarcopenia. It was assessed to be a valid screening test in comparison to the actual measurement of skeletal muscle mass index.7) However, it is unclear whether the diagnostic performance of YW differs between sarcopenia and SO. As an important marker of SO, it is important to understand whether abdominal obesity affects the diagnostic performance of YW.4) Thus, this study was conducted to determine the influence of abdominal obesity on the diagnostic performance of YW for sarcopenia identification amongst healthy community-dwelling older adults.
This cross-sectional study used the data of the second follow-up visit of healthy community-dwelling older adults from the longitudinal cohort study “Longitudinal Assessment of Biomarkers for characterisation of early Sarcopenia and Osteosarcopenic Obesity in predicting frailty and functional decline in community-dwelling Asian older adults Study” (GeriLABS-2) (n=230).8) Amongst 193 participants who completed the assessment, we excluded four who did not complete evaluation for body composition using bioelectrical impedance analysis, one who could not perform the YW test due to index finger amputation, and one with missing data, resulting in our final sample of 187 (81.3%). Calf circumference was measured by a trained research assistant (both calves in sitting and standing positions) and self-administered YW test performed by making a ring with the index fingers and thumbs of both hands circling the thickest part of the non-dominant calf with the participant’s knee bent at a 90° angle compared with finger-ring circumference.9) A positive YW test result is indicated by a “smaller” calf size compared to finger ring circumference. Abdominal obesity was defined using the Asia-Pacific Consensus by the International Diabetes Federation Consensus Worldwide Definition of the Metabolic Syndrome cutoffs for waist circumference (WC; female >80 cm, male >90 cm).10) The primary outcome measures were the Asian Working Group for Sarcopenia (AWGS) 2019 consensus diagnosis of the presence of either weak handgrip strength (male <28 kg, female <18 kg) or slow gait speed (<1.0 m/s)11) and low appendicular lean mass (ALMI) as measured using dual-energy X-ray absorptiometry (male <7.0 kg/m2, female <5.4 kg/m2). This study only considered Sarcopenia.
Area under the receiver operating characteristic curve (AUC) was performed to compare the diagnostic performance for sarcopenia between high versus low WC for both calf circumference and YW. Statistical analyses were performed using IBM SPSS Statistics for Windows, version 23.0 (IBM Corp., Armonk, NY, USA). Statistical tests used were two-tailed, with the level of significance set at 5% (p<0.05).
The mean age was 66.8±7.0 years with Chinese (93.6%) and female (73.3%) predominance. The high scores for basic and instrumental activities of daily living (ADL) (mean scores of 100 and 23, respectively), Frenchay Activities Index (30.97±4.6) and Mini-Nutritional Assessment (27.52±1.8) attested to the relatively robust health of the study participants. Based on body mass index (BMI) and WC to measure obesity, mean BMI was 23.36±3.2 kg/m2 and 45 participants (24.1%) have high WC (WC >90 cm in male and >80 cm in female). Participants with high WC were older; had a higher proportion of females and comorbidities such as hypertension and hyperlidemia; and performed poorer on tests of physical performance and muscle strength (Supplementary Table S1). Compared to sarcopenia prevalence of 24.1% (AWGS 2019 criteria), screen-positive rates were 23.5%–34.2% for calf circumference and 16.6% for YW. Compared to calf circumference measurements, YW showed lower discriminatory ability for sarcopenia diagnosis (AUC: 0.515 vs. 0.778–0.825) and low ALMI (AUC: 0.568 vs. 0.814–0.849) in participants with high WC (Table 1). Moreover, YW showed a trend for lower discriminatory ability for sarcopenia diagnosis (AUC: 0.515 vs. 0.683; p=0.093) and low ALMI (AUC: 0.568 vs. 0.726; p=0.054) in high WC compared with low WC, due to lower sensitivity (45.8% vs. 76.2%) for sarcopenia diagnosis and lower specificity (43.4% vs. 68.2%) for low ALMI. There was no difference in YW cutoffs for high versus low WC groups (sarcopenia diagnosis, 33 cm; low ALMI, 34 cm).
Taken together, our results demonstrate the lower diagnostic performance of YW in older persons with high WC due to differential effects on sensitivity for sarcopenia diagnosis and specificity for low muscle mass. This indicates that YW may be less useful as a self-administered screening tool for detecting SO in community-dwelling older adults. Our results are consistent with a recent Asian study which reported that YW may have decreased sensitivity and specificity for sarcopenia case detection compared with calf circumference measurements amongst healthy community-dwelling older persons (BMI 23.4±3.2 kg).12) Although the lower limbs hold most of the skeletal muscles and lower fat mass than other body sites, making it the preferred site in anthropometric measurement to assess skeletal muscle mass,13) the calf region is composed of skin fold, subcutaneous fat, bone and muscle, which may be affected by factors such as lifestyle, environment, genetics and ethnicity. To circumvent the confounding influence of obesity on the diagnostic performance of calf circumference, it has been proposed that calf skin fold thickness measurement can be subtracted from calf circumference measurements to derive a surrogate measure of calf muscle circumference.14) However, the YW self-administered test on its own does not distinguish subcutaneous or intramuscular fat from muscle,15) accounting for the lower diagnostic performance due to decreased sensitivity for sarcopenia diagnosis and decreased specificity for low ALMI detection in older adults with high WC observed in our study. Limitations of the study using a cross-sectional design with a small sample size should be addressed by future large prospective studies that may further evaluate the case-finding ability and predictive validity of YW in community-dwelling older persons with SO.

ACKNOWLEDGMENTS

CONFLICT OF INTEREST

The authors claim no conflicts of interest.

FUNDING

This study was supported by the Lee Foundation Grant (2019). The funder had no role in the design of the study, in the collection, analyses, or interpretation of data, in the preparation of the manuscript, or in the review or approval of the manuscript and in the decision to publish the results.

AUTHOR CONTRIBUTIONS

Conceptualization, MRBP, SL, WSL; Funding acquisition, JC, JPL, WSL; Methodology, MRBP, SL, CNT, JC, JPL, NHI, YYD, WSL; Supervision, WSL; Writing–original draft, MRBP, SL; Writing–review & editing, MRBP, SL, CNT, JC, JPL, NHI, YYD, WSL.

SUPPLEMENTARY MATERIALS

Supplementary materials can be found via https://doi.org/10.4235/agmr.24.0150.
Supplementary Table S1.
General characteristics
agmr-24-0150-Supplementary-Table-S1.pdf

Table 1.
Influence of abdominal obesity on diagnostic performance of Yubi-Wakka for sarcopenia and low appendicular lean muscle mass index detection (n=187)
Position AUC (95% CI) p-value Sensitivity (%) Specificity (%) Positive LR Negative LR Cutoff (cm)
Sarcopenia diagnosis Standing non-dominant 0.941
High WC 0.781 (0.674–0.888)* 70.8 76.3 2.99 0.38 34
Low WC 0.775 (0.663–0.887)* 100 44.9 1.81 0 35
Standing dominant 0.593
High WC 0.825 (0.728–0.922)* 75.0 80.6 3.87 0.31 34
Low WC 0.785 (0.676–0.894)* 95.2 49.0 1.87 0.10 34
Sitting non-dominant 0.894
High WC 0.778 (0.669–0.887)* 66.7 82.8 3.88 0.40 34
Low WC 0.768 (0.654–0.881)* 100 42.9 1.75 0 35
Sitting dominant 0.575
High WC 0.820 (0.718–0.923)* 70.8 86.0 5.06 0.34 34
Low WC 0.777 (0.668–0.887)* 95.2 51.0 1.94 0.09 35
Finger ring circumference 0.093
High WC 0.515 (0.382–0.0.648) 45.8 64.5 1.29 0.84 33
Low WC 0.683 (0.539–0.827)* 76.2 67.3 2.33 0.35 33
ALMI Standing non-dominant 0.417
High WC 0.818 (0.734–0.903)* 68.3 85.5 4.71 0.37 34
Low WC 0.870 (0.777–0.964)* 97.9 63.6 2.69 0.03 35
Standing dominant 0.667
High WC 0.849 (0.767–0.930)* 70.7 90.8 7.68 0.32 34
Low WC 0.875 (0.784–0.967)* 97.9 68.2 3.08 0.03 35
Sitting non-dominant 0.270
High WC 0.814 (0.728–0.899)* 68.3 85.5 4.71 0.37 34
Low WC 0.884 (0.792–0.977)* 87.5 77.3 3.85 0.16 35
Sitting dominant 0.599
High WC 0.838 (0.754–0.923)* 65.9 93.4 9.98 0.37 34
Low WC 0.872 (0.779–0.965)* 72.9 90.9 8.01 0.3 34
Finger ring circumference 0.054
High WC 0.568 (0.461–0.675) 73.2 43.4 1.29 0.62 34
Low WC 0.726 (0.606–0.846)* 70.8 68.2 2.23 0.43 34

ALMI, appendicular muscle mass index; WC, waist circumference; AUC, area under the curve; CI, confidence interval; LR, likelihood ratio.

WC cutoff value: high (male >90 cm, female >80 cm); low (male <90 cm, female <80 cm).

*p<0.01.

REFERENCES

1. Kalinkovich A, Livshits G. Sarcopenic obesity or obese sarcopenia: a cross talk between age-associated adipose tissue and skeletal muscle inflammation as a main mechanism of the pathogenesis. Ageing Res Rev 2017;35:200-21.
crossref pmid
2. Walrand S, Guillet C, Salles J, Cano N, Boirie Y. Physiopathological mechanism of sarcopenia. Clin Geriatr Med 2011;27:365-85.
crossref pmid
3. Donini LM, Busetto L, Bischoff SC, Cederholm T, Ballesteros-Pomar MD, Batsis JA, et al. Definition and diagnostic criteria for sarcopenic obesity: ESPEN and EASO consensus statement. Obes Facts 2022;15:321-35.
crossref pmid pmc pdf
4. Khor EQ, Lim JP, Tay L, Yeo A, Yew S, Ding YY, et al. Obesity definitions in sarcopenic obesity: differences in prevalence, agreement and association with muscle function. J Frailty Aging 2020;9:37-43.
crossref pmid
5. Rose Berlin Piodena-Aportadera M, Lau S, Chew J, Lim JP, Ismail NH, Ding YY, et al. Calf circumference measurement protocols for sarcopenia screening: differences in agreement, convergent validity and diagnostic performance. Ann Geriatr Med Res 2022;26:215-24.
crossref pmid pmc pdf
6. Lim WS, Lim JP, Chew J, Tan AW. Calf circumference as a case-finding tool for sarcopenia: influence of obesity on diagnostic performance. J Am Med Dir Assoc 2020;21:1359-61.
crossref pmid
7. Watanabe D, Yoshida T, Nakagata T, Sawada N, Yamada Y, Kurotani K, et al. Factors associated with sarcopenia screened by finger-circle test among middle-aged and older adults: a population-based multisite cross-sectional survey in Japan. BMC Public Health 2021;21:798.
crossref pmid pmc pdf
8. Chua S, Chia JQ, Lim JP, Chew J, Lim WS. Case-finding for sarcopenia in community-dwelling older adults: comparison of mini sarcopenia risk assessment with SARC-F and SARC-CalF. Ann Geriatr Med Res 2024;28:57-64.
crossref pmid pmc pdf
9. Tanaka T, Takahashi K, Akishita M, Tsuji T, Iijima K. "Yubi-wakka" (finger-ring) test: a practical self-screening method for sarcopenia, and a predictor of disability and mortality among Japanese community-dwelling older adults. Geriatr Gerontol Int 2018;18:224-32.
crossref pmid pdf
10. Alberti KG, Zimmet P, Shaw J. Metabolic syndrome: a new world-wide definition: a consensus statement from the International Diabetes Federation. Diabet Med 2006;23:469-80.
crossref pmid
11. Chen LK, Woo J, Assantachai P, Auyeung TW, Chou MY, Iijima K, et al. Asian Working Group for Sarcopenia: 2019 consensus update on sarcopenia diagnosis and treatment. J Am Med Dir Assoc 2020;21:300-7.e2.
crossref pmid
12. Piodena-Aportadera MR, Lau S, Tan CN, Chew J, Lim JP, Ismail NH, et al. Yubi-Wakka test for sarcopenia screening in the community: comparative agreement, diagnostic performance and validity with calf circumference measurements. J Frailty Aging 2024;13:98-107.
crossref pmid
13. Bahat G. Measuring calf circumference: a practical tool to predict skeletal muscle mass via adjustment with BMI. Am J Clin Nutr 2021;113:1398-9.
crossref pmid pdf
14. Sato R, Sawaya Y, Hirose T, Shiba T, Yin L, Ishizaka M, et al. Screening for sarcopenia using calf muscle circumference in older adults requiring long-term care. J Nutr Health Aging 2024;28:100006.
crossref pmid
15. Fujii H, Kodani E, Kaneko T, Nakamura H, Sasabe H, Tamura Y. Factors influencing sarcopenic changes in YUBI-WAKKA finger-ring test results after one year: a retrospective observational study. J Clin Med Res 2023;15:23-30.
crossref pmid pmc


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