Assessment of age-based variations in physiological and anthropometric metrics in Kashmiri men
DOI:
https://doi.org/10.18203/2320-6012.ijrms20250681Keywords:
Basal metabolic rate, Body fat percentage, Resting blood pressure, Resting heart rate, Senior citizensAbstract
Background: This study investigates age-related variations in physiological and anthropometric metrics among Kashmiri men aged 60-70 years, focusing on cardiovascular and body composition parameters across two age groups (60-65 and 66-70 years).
Methods: Conducted under ethical approval from the university of Delhi, the study included 200 physically active participants, evenly divided into two age groups. Physiological metrics-systolic blood pressure (SBP), diastolic blood pressure (DBP), resting heart rate (RHR), body mass index (BMI), body fat percentage (BFP), waist-to-hip ratio (WHR), and basal metabolic rate (BMR)-were measured using validated tools. Data were analysed using descriptive statistics, independent t-tests, and Pearson’s correlation analysis, with significance set at p<0.05.
Results: Significant differences were observed in RHR and BMR between the age groups. Participants aged 66-70 exhibited higher RHR (82.33±3.71 bm⁻¹) compared to those aged 60-65 (80.88±3.46 bm⁻¹, p=0.01). Conversely, the 60-65 group showed a higher BMR (1555.19±184.65 kcal/day) than the 66-70 group (1487.42±165.96 kcal/day, p=0.01). Non-significant differences were noted for SBP, DBP, BMI, BFP, and WHR, though BFP approached significance (p=0.06). Correlation analysis revealed strong interrelations among BMI, BFP, and BMR, with weaker associations between blood pressure metrics and WHR.
Conclusions: Age-related changes in RHR and BMR highlight physiological adaptations among older Kashmiri men. These findings underscore the need for tailored health interventions addressing cardiovascular and metabolic risks in this demographic.
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References
Amarya S, Singh K, Sabharwal M. Ageing process and physiological changes. In: Gerontology. IntechOpen. 2018. DOI: https://doi.org/10.5772/intechopen.76249
Dobriansky PJ, Suzman RM, Hodes RJ. Why population aging matters: A global perspective. National Institute on Aging, National Institutes of Health, US Department of Health and Human Services, US Department of State. 2007.
WHO. Global status report on alcohol and health 2018, 2019. Available at: https://www.who.int/publications/i/item/9789241565639. Accessed on 01 January 2025.
Krishnaswamy B, Sein UT, Munodawafa D, Varghese C, Venkataraman K, Anand L. Ageing in India. Ageing Int. 2008;32:258-68. DOI: https://doi.org/10.1007/s12126-008-9023-2
WHO. Noncommunicable diseases country profiles, 2014. Available at: https://apps.who.int/iris/bitstream/handle/10665/128038/9789241507509. Accessed on 01 January 2025.
Das SK, Banerjee TK, Biswas A, Roy T, Raut DK, Mukherjee CS, et al. A prospective community-based study of stroke in Kolkata, India. Stroke. 2007;38(3):906-10. DOI: https://doi.org/10.1161/01.STR.0000258111.00319.58
Buffa R, Floris G, Marini E. Assessment of nutritional status in free-living elderly individuals by bioelectrical impedance vector analysis. Nutrition. 2009;25(1):3-5. DOI: https://doi.org/10.1016/j.nut.2008.07.014
Sarkisian CA, Gruenewald TL, Boscardin WJ, Seeman TE. Preliminary evidence for subdimensions of geriatric frailty: The MacArthur study of successful aging. J Am Geriatr Soc. 2008;56(12):2292-7. DOI: https://doi.org/10.1111/j.1532-5415.2008.02041.x
Ferraro FR, Muehlenkamp JJ, Paintner A, Wasson K, Hager T, Hoverson F. Aging, body image, and body shape. J Gen Psychol. 2008;135(4):379-92. DOI: https://doi.org/10.3200/GENP.135.4.379-392
Khaleghi MM, Jamshidi A, Afrashteh S, Emamat H, Farhadi A, Nabipour I, et al. The association of body composition and fat distribution with hypertension in community-dwelling older adults: The Bushehr Elderly Health (BEH) program. BMC Public Health. 2023;23(1):2001. DOI: https://doi.org/10.1186/s12889-023-16950-8
Al-Rashed F, Sindhu S, Al Madhoun A, Ahmad Z, AlMekhled D, Azim R, et al. Elevated resting heart rate as a predictor of inflammation and cardiovascular risk in healthy obese individuals. Sci Rep. 2021;11(1):13883 DOI: https://doi.org/10.1038/s41598-021-93449-5
Vásquez-Alvarez S, Bustamante-Villagomez SK, Vazquez-Marroquin G. Metabolic age, an index based on basal metabolic rate, can predict individuals at high risk of developing metabolic syndrome. High Blood Press Cardiovasc Prev. 2021;28:263-70. DOI: https://doi.org/10.1007/s40292-021-00441-1
Salihu HM, Bonnema SM, Alio AP. Obesity: What is an elderly population growing into? Maturitas. 2009;63(1):7-12. DOI: https://doi.org/10.1016/j.maturitas.2009.02.010
Roy S. Himalayan older adults' views on indigenous medicine: Uses, availability, and effects on health and well-being [dissertation]. Miami University. 2018.
Zhang P, Li X, Fang Z, Lu Y, Cui J, Du X, et al. Smartphone application-supported validation of three automatic devices for self-measurement of blood pressure according to the European Society of Hypertension International Protocol revision 2010: The Omron HEM-7120, Yuwell YE680A, and Cofoe KF-65B. Blood Press Monit. 2021;26(6):435-40. DOI: https://doi.org/10.1097/MBP.0000000000000547
Gibson AL, Heyward VH, Mermier CM. Predictive accuracy of Omron® Body Logic Analyzer in estimating relative body fat of adults. Int J Sport Nutr Exerc Metab. 2000;10(2):216-27. DOI: https://doi.org/10.1123/ijsnem.10.2.216
Kohn JC, Lampi MC, Reinhart-King CA. Age-related vascular stiffening: causes and consequences. Front Genet. 2015;6:112. DOI: https://doi.org/10.3389/fgene.2015.00112
Lacolley P, Regnault V, Segers P, Laurent S. Vascular smooth muscle cells and arterial stiffening: relevance in development, aging, and disease. Physiol Rev. 2017;97(4):1555-617. DOI: https://doi.org/10.1152/physrev.00003.2017
Thijssen DH, Carter SE, Green DJ. Arterial structure and function in vascular ageing: are you as old as your arteries? J Physiol. 2016;594(8):2275-84. DOI: https://doi.org/10.1113/JP270597
Di Raimondo D, Musiari G, Grova M, Miceli G, Tuttolomondo A, Pinto A. The “Neurocentric” approach to essential hypertension: how reliable is the paradigm of hyperkinetic hypertension? A focus on the sympathetic nervous system dysregulation in essential hypertensive patients with elevated resting heart rate. Curr Pharm Des. 2017;23(31):4635-49. DOI: https://doi.org/10.2174/1381612823666170911102711
Graessler B, Thielmann B, Boeckelmann I, Hoekelmann A. Effects of different exercise interventions on cardiac autonomic control and secondary health factors in middle-aged adults: a systematic review. J Cardiovasc Dev Dis. 2021;8(8):94. DOI: https://doi.org/10.3390/jcdd8080094
Forbes GB, Reina JC. Adult lean body mass declines with age: some longitudinal observations. Metabolism. 1970;19(9):653-63. DOI: https://doi.org/10.1016/0026-0495(70)90062-4
Yamada M, Moriguch Y, Mitani T, Aoyama T, Arai H. Age‐dependent changes in skeletal muscle mass and visceral fat area in Japanese adults from 40 to 79 years of age. Geriatr Gerontol Int. 2014;14:8-14. DOI: https://doi.org/10.1111/ggi.12209
Lebrun CE, van der Schouw YT, de Jong FH, Grobbee DE, Lamberts SW. Fat mass rather than muscle strength is the major determinant of physical function and disability in postmenopausal women younger than 75 years of age. Menopause. 2006;13(3):474-81. DOI: https://doi.org/10.1097/01.gme.0000222331.23478.ec
Navas-Enamorado C, Capo X, Galmes-Panades AM, Ortega-Moral A, Sánchez-Polo A, Masmiquel L, et al. The association of circulating bioenergetic metabolites with healthy human aging. Exp Gerontol. 2024;194:112488. DOI: https://doi.org/10.1016/j.exger.2024.112488
Bays HE, González-Campoy JM, Bray GA, Kitabchi AE, Bergman DA, Schorr AB, et al. Pathogenic potential of adipose tissue and metabolic consequences of adipocyte hypertrophy and increased visceral adiposity. Expert Rev Cardiovasc Ther. 2008;6(3):343-68. DOI: https://doi.org/10.1586/14779072.6.3.343
Andreoli A, Garaci F, Cafarelli FP, Guglielmi G. Body composition in clinical practice. Eur J Radiol. 2016;85(8):1461-8. DOI: https://doi.org/10.1016/j.ejrad.2016.02.005
Si S, Tewara MA, Ji X, Wang Y, Liu Y, Dai X, et al. Body surface area, height, and body fat percentage as more sensitive risk factors of cancer and cardiovascular disease. Cancer Med. 2020;9(12):4433-46. DOI: https://doi.org/10.1002/cam4.3076
El-Ashker S, Pednekar MS, Narake SS, Albaker W, Al-Hariri M. Blood pressure and cardio-metabolic risk profile in young Saudi males in a university setting. Medicina. 2021;57(8):755. DOI: https://doi.org/10.3390/medicina57080755
Ciumărnean L, Milaciu MV, Negrean V, Orășan OH, Vesa SC, Sălăgean O, et al. Cardiovascular risk factors and physical activity for the prevention of cardiovascular diseases in the elderly. Int J Environ Res Public Health. 2021;19(1):207. DOI: https://doi.org/10.3390/ijerph19010207
McPhee JS, French DP, Jackson D, Nazroo J, Pendleton N, Degens H. Physical activity in older age: perspectives for healthy ageing and frailty. Biogerontology. 2016; 17:567-80. DOI: https://doi.org/10.1007/s10522-016-9641-0
Ferrari CK. Functional foods and physical activities in health promotion of aging people. Maturitas. 2007;58(4):327-39. DOI: https://doi.org/10.1016/j.maturitas.2007.09.011
Jia Y, Wang R, Guo D, Sun L, Shi M, Zhang K, et al. Contribution of metabolic risk factors and lifestyle behaviors to cardiovascular disease: a mendelian randomization study. Nutr Metab Cardiovasc Dis. 2022;32(8):1972-81. DOI: https://doi.org/10.1016/j.numecd.2022.04.019
Rus M, Crisan S, Andronie-Cioara FL, Indries M, Marian P, Pobirci OL, et al. Prevalence and risk factors of metabolic syndrome: A prospective study on cardiovascular health. Medicina. 2023;59(10):1711. DOI: https://doi.org/10.3390/medicina59101711
Mozaffarian D, Wilson PW, Kannel WB. Beyond established and novel risk factors: lifestyle risk factors for cardiovascular disease. Circulation. 2008;117(23):30. DOI: https://doi.org/10.1161/CIRCULATIONAHA.107.738732
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