Muscleness and fatness phenotypes for diabetes and hypertension prediction from the Chilean National Health Survey 2016-17

Authors

  • Cristian Alvarez Exercise and Rehabilitation Sciences Institute, School of Speech Therapy, Faculty of Rehabilitation Sciences. Universidad Andres Bello. Santiago, 7591538, Chile Author https://orcid.org/0000-0003-4783-9981
  • Cristian Caparros-Manosalva Departamento de Ciencias del Movimiento Humano, Facultad de Ciencias de la Salud. Universidad de Talca. Talca, Chile Author https://orcid.org/0000-0002-4317-6132
  • Carmen Luz Muñoz-Mendoza Departamento de Enfermería, Facultad de Ciencias de la Salud y de los Alimentos. Universidad del Bío-Bío. Chillán, Chile Author https://orcid.org/0000-0002-9316-0892
  • Jaime Vásquez-Gómez Centro de Investigación de Estudios Avanzados del Maule (CIEAM). Universidad Católica del Maule. Talca, Chile Author https://orcid.org/0000-0003-0597-793X
  • Igor Cigarroa Escuela de Kinesiología, Facultad de Salud. Universidad Católica Silva Henríquez. Santiago, 8240000, Chile Author https://orcid.org/0000-0003-0418-8787
  • Lorena Martínez-Ulloa Exercise and Rehabilitation Sciences Institute, School of Speech Therapy, Faculty of Rehabilitation Sciences. Universidad Andres Bello. Santiago, 7591538, Chile Author https://orcid.org/0000-0002-8788-4376
  • Héctor Márquez Carrera de Kinesiología. Universidad Andres Bello. Concepción, Chile Author https://orcid.org/0000-0002-9403-6850
  • Claudia Marchant Exercise and Rehabilitation Sciences Institute, School of Speech Therapy, Faculty of Rehabilitation Sciences. Universidad Andres Bello. Santiago, 7591538, Chile Author https://orcid.org/0000-0002-5839-3930
  • Francisco Guede-Rojas Exercise and Rehabilitation Sciences Institute, School of Speech Therapy, Faculty of Rehabilitation Sciences. Universidad Andres Bello. Santiago, 7591538, Chile Author https://orcid.org/0000-0002-1870-1396
  • Christian Campos-Jara Exercise and Rehabilitation Sciences Institute, School of Speech Therapy, Faculty of Rehabilitation Sciences. Universidad Andres Bello. Santiago, 7591538, Chile Author https://orcid.org/0000-0002-0298-837X
  • Pedro Delgado-Floody Department of Physical Education, Sports and Recreation. Universidad de La Frontera. Temuco, 4811230, Chile Author https://orcid.org/0000-0001-9952-993X

DOI:

https://doi.org/10.56294/saludcyt2024814

Keywords:

Body Composition, Sedentary Behavior, Diabetes Mellitus, Hypertension

Abstract

Introduction: diabetes and arterial hypertension are increasing in adults, where calf circumference and waist circumference are two clinical epidemiological markers poorly studied for predicting cardiometabolic risk. 
Objective: to characterize four phenotypical models in the Chilean adult population based on muscleness and fatness using both calf circumference and waist circumference outcomes. 
Methodology: An epidemiological observational cross-sectional representative study based on the Chilean National Health Survey 2016-17, where four phenotypes groups were analyzed; Low skeletal muscle mass and high-waist circumference (Lsmm-Hwc, n=140), low skeletal muscle mass and low waist circumference (Lsmm-Lwc, n=242), high skeletal muscle mass and high waist circumference (Hsmm-Hwc, n=1076), and high skeletal muscle mass and low waist circumference (Hsmm-Lwc, n=1358). These groups described information about diabetes, hypertension prevalence, including other risk factors. 
Results: the reference group Hsmm-Lwc group showed lower fasting plasma glucose (FPG) vs. Hsmm-Hwc (90,4 [95%CI] [89,0; 91,8] vs. 111,7 [109,1; 114,3]), and vs. Lsmm-Hwc (90,4 [89,0; 91,8] vs. 118.,3 [107,2; 129,4] mg/dL, both P<0,0001). Lower levels (i.e., appropriate) of FPG (R2 4,8 %), glycated hemoglobin (R2 2,6 %), systolic BP (R2 19,0 %), and diastolic BP (R2 2,5 %) were significantly associated (all, P<0,0001) with the Reference group Hsmm-Lwc. 
Conclusion: A high muscleness and low fatness phenotype is present in those who are younger adults, is associated with better glucose/blood pressure control, and reports low cardiovascular risk factors for diabetes and hypertension in Chilean adults

References

1. Celis-Morales C, Salas C, Alduhishy A, Sanzana R, Martínez MA, Leiva A, et al. Socio-demographic patterns of physical activity and sedentary behaviour in Chile: results from the National Health Survey 2009-2010. Journal of public health (Oxford, England). 2015:1-8.

2. Bull FC, Al-Ansari SS, Biddle S, Borodulin K, Buman MP, Cardon G, et al. World Health Organization 2020 guidelines on physical activity and sedentary behaviour. British journal of sports medicine. 2020;54(24):1451-62.

3. Booth FW, Chakravarthy MV, Gordon SE, Spangenburg EE. Waging war on physical inactivity: using modern molecular ammunition against an ancient enemy. Journal of Applied Physiology. 2002;93(1):3-30.

4. Petermann F, Duran E, Labraña AM, Martínez MA, Leiva AM, Garrido-Mendez A, et al. Risk factors associated with hypertension. Analysis of the 2009-2010 Chilean health survey. Revista medica de Chile. 2017;145(8):996-1004.

5. Pagotto V, Santos KFd, Malaquias SG, Bachion MM, Silveira EA. Calf circumference: clinical validation for evaluation of muscle mass in the elderly. Revista brasileira de enfermagem. 2018;71:322-8.

6. Yi Y, Wang C, Ding Y, He J, Lv Y, Chang Y. Diet was less significant than physical activity in the prognosis of people with sarcopenia and metabolic dysfunction-associated fatty liver diseases: Analysis of the National Health and Nutrition Examination Survey III. Frontiers in Endocrinology. 2023;14:1101892.

7. DeFronzo RA, Gunnarsson R, Bjarkman O, Olsson M, Wahren J. Effects of insulin on peripheral and splanchnic glucose metabolism in noninsulin-dependent (type II) diabetes mellitus. The Journal of Clinical Investigation. 1985;76(1):149-55.

8. Abdul-Ghani MA, DeFronzo RA. Pathogenesis of Insulin Resistance in Skeletal Muscle. Journal of Biomedicine and Biotechnology. 2010;2010.

9. Park JE, Lee S, Kim K. The effect of combining nutrient intake and physical activity levels on central obesity, sarcopenia, and sarcopenic obesity: a population-based cross-sectional study in South Korea. BMC geriatrics. 2023;23(1):119.

10. Kanaley JA, Colberg SR, Corcoran MH, Malin SK, Rodriguez NR, Crespo CJ, et al. Exercise/physical activity in individuals with type 2 diabetes: A consensus statement from the American College of Sports Medicine. Medicine and science in sports and exercise. 2022.

11. Pescatello LS, Buchner DM, Jakicic JM, Powell KE, Kraus WE, Bloodgood B, et al. Physical Activity to Prevent and Treat Hypertension: A Systematic Review. Medicine & Science in Sports & Exercise. 2019;51(6):1314-23.

12. Lee D-c, Sui X, Church TS, Lavie CJ, Jackson AS, Blair SN. Changes in Fitness and Fatness on the Development of Cardiovascular Disease Risk Factors. Journal of the American College of Cardiology. 2012;59(7):665-72.

13. Álvarez C, Cadore E, Gaya AR, Mello JB, Reuter CP, Delgado-Floody P, et al. Associations of cardiorespiratory fitness and obesity parameters with blood pressure: fitness and fatness in youth Latin-American ethnic minority. Ethnicity & Health. 2020:1-17.

14. Cisternas YC, Díaz F, Piñero JC, Lanuza F, Laserre N, Leiva-Ordoñez AM, et al. Prevalencia de obesidad pre-sarcopénica en personas mayores chilenas: Resultados de la Encuesta Nacional de Salud 2016-2017. Revista Española de Nutrición Humana y Dietética. 2023.

15. Patrick J, Bassey E, Fentem P. Changes in body fat and muscle in manual workers at and after retirement. Eur J Appl Physiol Occup Physiol. 1982;49(2):187-96.

16. Pearson M, Bassey E, Bendall M. The effects of age on muscle strength and anthropometric indices within a group of elderly men and women. Age and ageing. 1985;14(4):230-4.

17. Fraiz GM, Gallo LH, Rabito EI, Gomes ARS, Schieferdecker MEM. Relationship between muscle thickness and calf circumference in healthy older women. Archives of Gerontology and Geriatrics. 2020;86:103942.

18. Rolland Y, Lauwers‐Cances V, Cournot M, Nourhashémi F, Reynish W, Rivière D, et al. Sarcopenia, calf circumference, and physical function of elderly women: a cross‐sectional study. Journal of the American Geriatrics Society. 2003;51(8):1120-4.

19. Álvarez C, Ramírez-Campillo R, Miranda-Fuentes C, Ibacache-Saavedra P, Campos-Jara C, Cristi-Montero C, et al. Lifestyle and cardiometabolic risk factors in the ethnic and non-ethnic population> 15 years of age: results from the National Chilean Health Survey 2016-2017. Nutricion hospitalaria. 2023;40(2).

20. Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Himmelfarb CD, et al. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Hypertension. 2018;71(6):1269-324.

21. Concha-Cisternas Y, Vásquez-Gómez J, Castro-Piñero J, Petermann-Rocha F, Parra-Soto S, Matus-Castillo C, et al. Niveles de actividad física y tiempo sedente en personas mayores con fragilidad: resultados de la Encuesta Nacional de Salud 2016-2017. Nutricion hospitalaria. 2023;40(1):28-34.

22. WHO. Obesity: preventing and managing the global epidemic. 2000:894:i–xii, 1–253.

23. NCEP. Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) Final Report. Circulation. 2002;106(25):3143.

24. Poblete-Valderrama F, Rivera CF, Petermann-Rocha F, Leiva AM, Martínez-Sanguinetti MA, Troncoso C, et al. Actividad física y tiempo sedente se asocian a sospecha de deterioro cognitivo en población adulta mayor chilena. Revista medica de Chile. 2019;147(10):1247-55.

25. Díaz-Martínez X, Petermann F, Leiva AM, Garrido-Méndez A, Salas-Bravo C, Martínez MA, et al. No cumplir con las recomendaciones de actividad física se asocia a mayores niveles de obesidad, diabetes, hipertensión y síndrome metabólico en población chilena. Revista medica de Chile. 2018;146:585-95.

26. MINSAL. Informe de Encuesta nacional de Salud 2016-2017. Riesgo Cardiovascular Santiago de Chile: Ministerio de Salud de Chile; 2018 Nov 2018.

27. Zanker J, Sim M, Anderson K, Balogun S, Brennan‐Olsen SL, Dent E, et al. Consensus guidelines for sarcopenia prevention, diagnosis and management in Australia and New Zealand. Journal of Cachexia, Sarcopenia and Muscle. 2023;14(1):142-56.

28. Lakka TA, Aittola K, Järvelä-Reijonen E, Tilles-Tirkkonen T, Männikkö R, Lintu N, et al. Real-world effectiveness of digital and group-based lifestyle interventions as compared with usual care to reduce type 2 diabetes risk–A stop diabetes pragmatic randomised trial. The Lancet Regional Health-Europe. 2023;24:100527.

29. Shakoor H, Platat C, Ali HI, Ismail LC, Al Dhaheri AS, Bosevski M, et al. The benefits of physical activity in middle-aged individuals for cardiovascular disease outcomes. Maturitas. 2023;168:49-52.

30. Eisenmann JC, Welk GJ, Wickel EE, Blair SN. Combined influence of cardiorespiratory fitness and body mass index on cardiovascular disease risk factors among 8–18 year old youth: The Aerobics Center Longitudinal Study. International Journal of Pediatric Obesity. 2007;2(2):66-72.

31. Park JS, Cho MH, Ahn CW, Kim KR, Huh KB. The association of insulin resistance and carotid atherosclerosis with thigh and calf circumference in patients with type 2 diabetes. Cardiovascular diabetology. 2012;11(1):1-8.

32. Arimura S, Moura B, Pimentel GD, Silva ME, Sousa M. Waist circumference is better associated with high density lipoprotein (HDL-c) than with body mass index (BMI) in adults with metabolic syndrome. Nutricion hospitalaria. 2011.

33. LaMonte MJ, Barlow CE, Jurca R, Kampert JB, Church TS, Blair SN. Cardiorespiratory fitness is inversely associated with the incidence of metabolic syndrome: a prospective study of men and women. Circulation. 2005;112(4):505-12.

34. Meisinger C, Heier M, Loewel H. Sleep disturbance as a predictor of type 2 diabetes mellitus in men and women from the general population. Diabetologia. 2005;48(2):235-41.

35. Han H, Wang Y, Li T, Feng C, Kaliszewski C, Su Y, et al. Sleep Duration and Risks of Incident Cardiovascular Disease and Mortality Among People With Type 2 Diabetes. Diabetes Care. 2023;46(1):101-10.

Downloads

Published

2024-04-14

How to Cite

1.
Alvarez C, Caparros-Manosalva C, Muñoz-Mendoza CL, Vásquez-Gómez J, Cigarroa I, Martínez-Ulloa L, et al. Muscleness and fatness phenotypes for diabetes and hypertension prediction from the Chilean National Health Survey 2016-17. Salud, Ciencia y Tecnología [Internet]. 2024 Apr. 14 [cited 2024 Dec. 4];4:814. Available from: https://sct.ageditor.ar/index.php/sct/article/view/833