Korelasi Caliper dan Handgrip terhadap Lemak dan Otot Segmental pada Masyarakat Kelurahan Kota Bambu

Authors

  • Daniel Ruslim Universitas Tarumangara Jakarta
  • Alexander Halim Santoso Universitas Tarumangara Jakarta
  • Bryan Anna Wijaya Universitas Tarumangara Jakarta

DOI:

https://doi.org/10.55606/jurrikes.v5i1.7974

Keywords:

Anthropometry, Body Composition, Handgrip Strength, Skeletal Muscle, Subcutaneous Fat

Abstract

This study aims to evaluate the relationship between skinfold calliper measurements and handgrip strength with segmental fat and muscle composition among adults in Kota Bambu, providing evidence for simple and applicable community-based screening tools. A cross-sectional design was applied to 135 participants aged 18–96 years. Skinfold thickness was assessed at four anatomical sites (biceps, triceps, suprailiac, scapular), handgrip strength was measured using a digital dynamometer, and segmental body composition was obtained via bioelectrical impedance analysis. Findings demonstrated a moderate positive correlation between handgrip strength and arm skeletal muscle mass (r = 0.371–0.407; p < 0.01), indicating that handgrip performance reflects segmental muscle contractility and functional reserve. Skinfold measurements showed moderate-to-strong positive correlations with both local and central subcutaneous fat distribution (r = 0.562–0.635; p < 0.01), confirming their sensitivity in estimating segmental adipose accumulation. These results highlight that calliper and handgrip strength can serve as practical, low-cost preliminary screening indicators for mapping muscle and fat distribution in urban communities, although they are not substitutes for comprehensive body composition assessment. Further longitudinal studies integrating advanced physiological and functional parameters are recommended to enhance predictive validity and clinical applicability.

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References

Ahmed, S. K., & Mohammed, R. A. (2025). Obesity: Prevalence, causes, consequences, management, preventive strategies and future research directions. Metabolism Open, 27, 100375. https://doi.org/10.1016/j.metop.2025.100375

ALBU, J. B., KOVERA, A. J., & JOHNSON, J. A. (2000). Fat distribution and health in obesity. Annals of the New York Academy of Sciences, 904(1), 491–501. https://doi.org/10.1111/j.1749-6632.2000.tb06505.x

Alizadehkhaiyat, O., Hawkes, D. H., Kemp, G. J., Howard, A., & Frostick, S. P. (2014). Muscle strength and its relationship with skeletal muscle mass indices as determined by segmental bio-impedance analysis. European Journal of Applied Physiology, 114(1), 177–185. https://doi.org/10.1007/s00421-013-2764-y

Amaral, T. F., Teresa Restivo, M., Guerra, R. S., Marques, E., Chousal, M. F., & Mota, J. (2011). Accuracy of a digital skinfold system for measuring skinfold thickness and estimating body fat. British Journal of Nutrition, 105(3), 478–484. https://doi.org/10.1017/S0007114510003727

Anderson, D. B., Beach, A. J., Chen, L., Feng, H. J., McKay, M. J., Smith, Z. A., Weber, K. A., Wesselink, E. O., & Elliott, J. M. (2024). What is normal age-related thigh muscle composition among 45- to 84-year-old adults from the UK Biobank study? GeroScience, 47(1), 1175–1185. https://doi.org/10.1007/s11357-024-01304-y

Baglietto, N., Albaladejo-Saura, M., Esparza-Ros, F., Mecherques-Carini, M., & Vaquero-Cristóbal, R. (2025). Segmental fat-free mass and lean soft mass: A comparative study with dual X-ray absorptiometry (DXA), bioelectrical impedance analysis (BIA), and anthropometry and development of anthropometric prediction models. Journal of the International Society of Sports Nutrition, 22(1). https://doi.org/10.1080/15502783.2025.2542368

Bouchard, D. R., Héroux, M., & Janssen, I. (2011). Association between muscle mass, leg strength, and fat mass with physical function in older adults: Influence of age and sex. Journal of Aging and Health, 23(2), 313–328. https://doi.org/10.1177/0898264310388562

Bourgeois, B., Fan, B., Johannsen, N., Gonzalez, M. C., Ng, B. K., Sommer, M. J., Shepherd, J. A., & Heymsfield, S. B. (2019). Improved strength prediction combining clinically available measures of skeletal muscle mass and quality. Journal of Cachexia, Sarcopenia and Muscle, 10(1), 84–94. https://doi.org/10.1002/jcsm.12353

Chan, J., Lu, Y.-C., Yao, M. M.-S., & Kosik, R. O. (2022). Correlation between hand grip strength and regional muscle mass in older Asian adults: An observational study. BMC Geriatrics, 22(1), 206. https://doi.org/10.1186/s12877-022-02898-8

Chen, Y.-Y., Fang, W.-H., Wang, C.-C., Kao, T.-W., Yang, H.-F., Wu, C.-J., Sun, Y.-S., Wang, Y.-C., & Chen, W.-L. (2019). Fat-to-muscle ratio is a useful index for cardiometabolic risks: A population-based observational study. PLOS ONE, 14(4), e0214994. https://doi.org/10.1371/journal.pone.0214994

Escamilla, R. F., Yamashiro, K., Asuncion, R. J., MacLean, D., & McKeough, M. (2022). A comparison of four practical and reliable methods of assessing body fat among young, middle age, and older healthy adults. Medicine & Science in Sports & Exercise, 54(9S), 366–367. https://doi.org/10.1249/01.mss.0000879664.47141.7d

Hoffmann, J., Thiele, J., Kwast, S., Borger, M. A., Schröter, T., Falz, R., & Busse, M. (2022). Measurement of subcutaneous fat tissue: Reliability and comparison of caliper and ultrasound via systematic body mapping. Scientific Reports, 12(1), 15798. https://doi.org/10.1038/s41598-022-19937-4

Hurt, R. T., Ebbert, J. O., Croghan, I., Nanda, S., Schroeder, D. R., Teigen, L. M., Velapati, S. R., & Mundi, M. S. (2021). The comparison of segmental multifrequency bioelectrical impedance analysis and dual‐energy X‐ray absorptiometry for estimating fat free mass and percentage body fat in an ambulatory population. Journal of Parenteral and Enteral Nutrition, 45(6), 1231–1238. https://doi.org/10.1002/jpen.1994

Kemala Sari, N., Stepvia, S., & Ilyas, M. F. (2024). The association between anthropometric measurements and body composition with hand grip strength among the elderly population in Indonesia. Journal of Clinical Medicine, 13(16), 4697. https://doi.org/10.3390/jcm13164697

Kim, S. H., Kang, H. W., Jeong, J. B., Lee, D. S., Ahn, D.-W., Kim, J. W., Kim, B. G., Lee, K. L., Oh, S., Yoon, S. H., & Park, S. J. (2021). Association of obesity, visceral adiposity, and sarcopenia with an increased risk of metabolic syndrome: A retrospective study. PLOS ONE, 16(8), e0256083. https://doi.org/10.1371/journal.pone.0256083

Kohir, D. S., Murhan, A., & Sulastri, S. (2024). Skrining faktor risiko obesitas usia produktif. Jurnal Wacana Kesehatan, 9(2), 97. https://doi.org/10.52822/jwk.v9i2.673

Lin, B., Hu, Y., He, H., Chen, X., Ou, Q., Liu, Y., Xu, T., Tu, J., Li, A., Liu, Q., Xi, T., Lu, Z., Wang, W., Huang, H., Xu, D., Chen, Z., Wang, Z., & Shan, G. (2025). Regional adipose distribution and metabolically unhealthy phenotype in Chinese adults: Evidence from the China National Health Survey. Environmental Health and Preventive Medicine, 30, 24–00154. https://doi.org/10.1265/ehpm.24-00154

Mecherques-Carini, M., Albaladejo-Saura, M., Esparza-Ros, F., Baglietto, N., & Vaquero-Cristóbal, R. (2025). Validity between dual-energy x-ray absorptiometry and bioelectrical impedance for segmental fat analysis and a novel low-cost model developed using anthropometry in young adults. Journal of Translational Medicine, 23(1), 40. https://doi.org/10.1186/s12967-024-06062-1

Miller, E., Janssen, I., & Ross, R. (2023). Changes in body composition in relation to the metabolic syndrome: A compositional data analysis. Medicine & Science in Sports & Exercise, 55(9S), 640–640. https://doi.org/10.1249/01.mss.0000985776.55853.b9

Müller, M. J., Lagerpusch, M., Enderle, J., Schautz, B., Heller, M., & Bosy‐Westphal, A. (2012). Beyond the body mass index: Tracking body composition in the pathogenesis of obesity and the metabolic syndrome. Obesity Reviews, 13(S2), 6–13. https://doi.org/10.1111/j.1467-789X.2012.01033.x

Pérez-Chirinos Buxadé, C., Solà-Perez, T., Castizo-Olier, J., Carrasco-Marginet, M., Roy, A., Marfell-Jones, M., & Irurtia, A. (2018). Assessing subcutaneous adipose tissue by simple and portable field instruments: Skinfolds versus A-mode ultrasound measurements. PLOS ONE, 13(11), e0205226. https://doi.org/10.1371/journal.pone.0205226

Pouget, M., Pinel, A., Miolanne, M., Gentes, E., Picard, M., Martinez, R., Mulliez, A., Guillet, C., Farigon, N., & Boirie, Y. (2024). Improving the functional detection of sarcopenic obesity: Prevalence and handgrip scoring in the OBESAR cohort. Obesity, 32(12), 2237–2245. https://doi.org/10.1002/oby.24157

Rachmi, C. N., Li, M., & Alison Baur, L. (2017). Overweight and obesity in Indonesia: Prevalence and risk factors—a literature review. Public Health, 147, 20–29. https://doi.org/10.1016/j.puhe.2017.02.002

Stults‐Kolehmainen, M. A., Stanforth, P. R., & Bartholomew, J. B. (2012). Fat in android, trunk, and peripheral regions varies by ethnicity and race in college aged women. Obesity, 20(3), 660–665. https://doi.org/10.1038/oby.2011.300

Suarez, J. R., Park, J.-H., Choudhury, R., Stout, J., Banarjee, C., & Thiamwong, L. (2023). The associations of handgrip strength and anthropometric measurements with upper limb body fat mass in older adults. Innovation in Aging, 7(Supplement_1), 1130–1131. https://doi.org/10.1093/geroni/igad104.3630

Takahashi, T., Sugie, M., Nara, M., Koyama, T., Obuchi, S. P., Harada, K., Kyo, S., & Ito, H. (2017). Femoral muscle mass relates to physical frailty components in community‐dwelling older people. Geriatrics & Gerontology International, 17(10), 1636–1641. https://doi.org/10.1111/ggi.12945

THALMANN, S., & MEIER, C. (2007). Local adipose tissue depots as cardiovascular risk factors. Cardiovascular Research, 75(4), 690–701. https://doi.org/10.1016/j.cardiores.2007.03.008

Tham, K. W., Abdul Ghani, R., Cua, S. C., Deerochanawong, C., Fojas, M., Hocking, S., Lee, J., Nam, T. Q., Pathan, F., Saboo, B., Soegondo, S., Somasundaram, N., Yong, A. M. L., Ashkenas, J., Webster, N., & Oldfield, B. (2023). Obesity in South and Southeast Asia—A new consensus on care and management. Obesity Reviews, 24(2). https://doi.org/10.1111/obr.13520

Visser, M., Kritchevsky, S. B., Goodpaster, B. H., Newman, A. B., Nevitt, M., Stamm, E., & Harris, T. B. (2002). Leg muscle mass and composition in relation to lower extremity performance in men and women aged 70 to 79: The Health, Aging and Body Composition Study. Journal of the American Geriatrics Society, 50(5), 897–904. https://doi.org/10.1046/j.1532-5415.2002.50217.x

Ward, L. C. (2019). Bioelectrical impedance analysis for body composition assessment: Reflections on accuracy, clinical utility, and standardisation. European Journal of Clinical Nutrition, 73(2), 194–199. https://doi.org/10.1038/s41430-018-0335-3

Wen, Z., Gu, J., Chen, R., Wang, Q., Ding, N., Meng, L., Wang, X., Liu, H., Sheng, Z., & Zheng, H. (2023). Handgrip strength and muscle quality: Results from the National Health and Nutrition Examination Survey database. Journal of Clinical Medicine, 12(9), 3184. https://doi.org/10.3390/jcm12093184

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Published

2026-01-12

How to Cite

Daniel Ruslim, Santoso, A. H., & Wijaya, B. A. (2026). Korelasi Caliper dan Handgrip terhadap Lemak dan Otot Segmental pada Masyarakat Kelurahan Kota Bambu. JURNAL RISET RUMPUN ILMU KESEHATAN, 5(1), 336–348. https://doi.org/10.55606/jurrikes.v5i1.7974