Relationship between body mass index and tri-weight index with the six-minute walk test in older adults
DOI:
https://doi.org/10.12873/Keywords:
Anthropometric indices, BMI, TPI, Aerobic fitness, older adultsAbstract
Introduction: During the aging process of older adults (OAs), there is a decline in physical fitness, leading to difficulties with activities of daily living.
Objective: To analyze the relationship between Body Mass Index (BMI) and Tri-Weight Index (TWI) with the distance covered in the 6-minute walk test in OAs.
Methodology: A descriptive cross-sectional study was conducted on OAs aged 65 to 85 years of both sexes. A total of 200 OAs were investigated. Weight and height were assessed. BMI and TPI were calculated. Aerobic fitness (AF) was assessed using the 6-minute walk test.
Results: In men, BMI was found to have a significant negative correlation with the 6-minute walk test (r = -0.271, r² = 7.3%). However, WHR also showed a significant negative correlation (r = -0.366; r² = 13.4%). In women, BMI showed a similar correlation to that of men with the 6-minute walk test (r = -0.276; R² = 7.6%), which was significant and negative. Meanwhile, with ITP, the correlation was (r = -0.338; r² = 11.4%).
Conclusion: Both anthropometric indices (BMI and WHR) are negatively and significantly related to AA in MA of both sexes. However, despite having moderately low relationships, WHR was the anthropometric indicator that showed the greatest explanatory power for aerobic fitness in both sexes.
References
1. Cossio-Bolaños M, Vidal-Espinoza R, Lagos-Luciano J, Gómez-Campos R. Perfil antropométrico en función del estado nutricional de niños con discapacidad intelectual. Rev Chil Pediatr. Enero-febrero 2015;86(1):18-24. doi: 10.1016/j.rchipe.2015.04.004. PMID: 26223393.
2. Frenzel A, Binder H, Walter N, Wirkner K, Loeffler M, Loeffler-Wirth H. The aging human body shape. NPJ Aging Mech Dis. 24 de marzo de 2020; 6:5. doi: 10.1038/s41514-020-0043-9.
3. Ashwell M, Gibson S. Waist-to-height ratio as an indicator of 'early health risk': simpler and more predictive than using a 'matrix' based on BMI and waist circumference. BMJ Open. 14 de marzo de 2016;6(3): e010159. doi: 10.1136/bmjopen-2015-010159.
4. Wang H, Liu A, Zhao T, Gong X, Pang T, Zhou Y, et al. Comparison of anthropometric indices for predicting the risk of metabolic syndrome and its components in Chinese adults: a prospective, longitudinal study. BMJ Open. 18 de septiembre de 2017;7(9): e016062. doi: 10.1136/bmjopen-2017-016062.
5. Lo K, Huang YQ, Shen G, Huang JY, Liu L, Yu YL, et al. Effects of waist to height ratio, waist circumference, body mass index on the risk of chronic diseases, all-cause, cardiovascular and cancer mortality. Postgrad Med J. 5 de mayo 2021;97(1147):306-11. doi: 10.1136/postgradmedj-2020-137542.
6. Gómez-Campos R, Vidal-Espinoza R, Castelli Correia de Campos LF, Sulla-Torres J, Cossio-Bolaños W, de Arruda M, et al. Comparison of anthropometric indicators as predictors of the percentage of fat mass in young people and older adults in Chile. Endocrinol Diabetes Nutr (Engl Ed). Enero de 2022;69(1):25-33. doi: 10.1016/j.endien.2022.01.002
7. Guede-Rojas F, Jerez-Mayorga D, Ulloa-Díaz D, Soto-Martínez A, Ramírez-Campillo R, Barboza-González P, Angarita-Dávila L. Relationship between anthropometric nutritional status and functional capacity in older adults living in the community. Rev Med Chil. Enero de 2020;148(1):69-77. doi:10.4067/S0034-98872020000100069.
8. Razak S, Justine M, Mohan V. Relationship between anthropometric characteristics and aerobic fitness among Malaysian men and women. J Exerc Rehabil. 23 de febrero de 2021;17(1):52-58. doi: 10.12965/jer.2142026.013.
9. Urra-Albornoz C, Vidal R, Gomez-Campos R, Alvear-Vasquez F, Marques de Moraes A, Lazari E, Urzua-Alul L, et al. Relación entre aptitud aeróbica con indicadores de adiposidad corporal en adolescentes de ambos sexos: Aptitud aeróbica con indicadores de adiposidad corporal en adolescentes. Nutrición Clínica y Dietética Hospitalaria. 1 de mayo de 2021;41(2): 20-7. doi: 10.12873/412urra.
10. Zadarko-Domaradzka M, Sobolewski M, Zadarko E. Comparison of Several Anthropometric Indices Related to Body Fat in Predicting Cardiorespiratory Fitness in School-Aged Children-A Single-Center Cross-Sectional Study. J Clin Med. 27 de septiembre de 2023;12(19):6226. doi: 10.3390/jcm12196226.
11. Kaczorowska A, Fortuna M, Katan A, Kaczorowska A, Ignasiak Z. Functional Physical Fitness and Anthropometric Characteristics of Older Women Living in Different Environments in Southwest Poland. Ageing Int. 30 de diciembre 2021; 48:367–83. doi:10.1007/s12126-021-09475-1
12. Milanović Z, Pantelić S, Trajković N, Sporiš G, Kostić R, James N. Age-related decrease in physical activity and functional fitness among elderly men and women. Clin Interv Aging. 21 de mayo de 2013; 8:549-56. doi: 10.2147/CIA.S44112.
13. Cossio-Bolaños M, Vidal-Espinoza R, Caceres-Bahamondes J, de Campos LFCC, Urzua-Alul L, de Lázari MSR, Luarte-Rocha C, Gomez-Campos R. Translation, validity and reliability of the fall risk scale for older adults. BMC Geriatrics. 24 de agosto de 2024;24(1):708. doi: 10.1186/s12877-024-05292-8.
14. Cossio-Bolaños M, Vidal-Espinoza R, Castelli Correia de Campos LF, Sulla-Torres J, Urra-Albornoz C, Alvear-Vasquez F, et al. Normative values to assess functional fitness in older adults in a region of Chile. Front Aging. 17 de junio de 2025; 6:1554783. doi: 10.3389/fragi.2025.1554783
15. Ross WD, Marfell-Jones, MJ. Kinanthropometry. In J. D. MacDougall, H. A. Wenger, & H. J. Geeny (Eds.), Physiological Testing of Elite Athlete.Human Kinetics. 1991: 223-314
16. Rikli RE, Jones CJ. Senior fitness test manual (2ª ed). Champaing: Human Kinetics. 2013.
17. Peterson CM, Su H, Thomas DM, Heo M, Golnabi AH, Pietrobelli A, Heymsfield SB. Tri-Ponderal Mass Index vs Body Mass Index in Estimating Body Fat During Adolescence. JAMA Pediatr. 1 de julio de 2017;171(7):629-36. doi: 10.1001/jamapediatrics.2017.0460
18. Wang X, Ma J, Huang S, Dong B, Dong Y, Yang Z, et al. Use of Tri-Ponderal Mass Index in Predicting Late Adolescent Overweight and Obesity in Children Aged 7-18. Front Nutr. 21 de marzo de 2022; 9:785863. doi: 10.3389/fnut.2022.785863
19. Cossio-Bolaños M, Vidal-Espinoza R, Albornoz CU, Fuentes-Lopez J, Sánchez-Macedo L, Andruske CL, et al. Relationship between the body mass index and the ponderal index with physical fitness in adolescent students. BMC Pediatr. 27 de abril de 2022;22(1):231. doi: 10.1186/s12887-022-03296-0
20. Hu J, Zhong Y, Ge W, Lv H, Ding Z, Han D, et al. Comparisons of tri-ponderal mass index and body mass index in discriminating hypertension at three separate visits in adolescents: A retrospective cohort study. Front Nutr. 17 de octubre de 2022; 9:1028861. doi: 10.3389/fnut.2022.1028861
21. Cossio-Bolaños M, Vidal Espinoza R, Sulla Torres J, Gatica Mandiola P, Castelli Correia de Campos LF, Cossio Bolaños W, Urra Albornoz C, Gómez Campos R. Índice de masa corporal versus Índice ponderal para evaluar el estado nutricional de adolescentes de altitud moderada del Perú. Nutr Clín Diet Hosp. 2 de noviembre de 2020;40(3): 92-8. doi: 10.12873/403gomez
22. Gómez-Campos R, Vidal-Espinoza R, Marques de Moraes A, Lázari E, Andruske CL, Castelli Correia de Campos L, Urzua-Alul L, et al. Comparison of Anthropometric Indicators That Assess Nutritional Status From Infancy to Old Age and Proposal of Percentiles for a Regional Sample of Chile. Front Nutr. 24 de diciembre de 2021; 8:657491. doi: 10.3389/fnut.2021.657491
23. Moselakgomo VK, Van Staden M. Diagnostic accuracy of tri-ponderal mass index and body mass index in estimating overweight and obesity in South African children. Afr J Prim Health Care Fam Med. 14 de agosto de 2019;11(1): e1-e7. doi: 10.4102/phcfm.v11i1.1949
24. Cossio-Bolaños M, Sáez Selaivee R, Luarte Rocha C, Andruske LC, Gómez Campos R. Capacidad funcional de adultos mayores según cambios estacionales. Nutr. clín. diet. hosp. 2017; 37(2):83-8 doi: 10.12873/372cossio
25. Distefano G, Goodpaster BH. Effects of Exercise and Aging on Skeletal Muscle. Cold Spring Harb Perspect Med. 1 de marzo de 2018;8(3): a029785. doi: 10.1101/cshperspect.a029785
26. Bowden Davies KA, Pickles S, Sprung VS, Kemp GJ, Alam U, Moore DR, Tahrani AA, Cuthbertson DJ. Reduced physical activity in young and older adults: metabolic and musculoskeletal implications. Ther Adv Endocrinol Metab. 19 de noviembre de 2019; 10:2042018819888824. doi: 10.1177/2042018819888824
27. Riviati N, Indra B. Relationship between muscle mass and muscle strength with physical performance in older adults: A systematic review. SAGE Open Med. 27 de noviembre de 2023; 11:1-13. doi: 10.1177/20503121231214650
28. Jeong SM, Lee DH, Rezende LFM, Giovannucci EL. Different correlation of body mass index with body fatness and obesity-related biomarker according to age, sex and race-ethnicity. Sci Rep. 1 de marzo de 2023;13(1):3472. doi: 10.1038/s41598-023-30527-w
29. Byker Shanks C, Bruening M, Yaroch AL. BMI or not to BMI? debating the value of body mass index as a measure of health in adults. Int J Behav Nutr Phys Act. 25 de febrero de 2025;22(1):23. doi: 10.1186/s12966-025-01719-6
30. Whitney DG, Miller F, Pohlig RT, Modlesky CM. BMI does not capture the high fat mass index and low fat-free mass index in children with cerebral palsy and proposed statistical models that improve this accuracy. Int J Obes (Lond). Enero de 2019;43(1):82-90. doi: 10.1038/s41366-018-0183-1
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