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Exploring Incidence and Potential Risk Factors of Sarcopenic Obesity Among Middle-Aged Women Residing in a Community

  • Received : 2023.05.26
  • Accepted : 2023.06.01
  • Published : 2023.08.31

Abstract

PURPOSE: This study evaluated the incidence of sarcopenic obesity (SO) and examined the specific risk factors in a community-dwelling middle-aged population of women. METHODS: The present study involved analyzing data from a cross-sectional study that included 1,693 community-dwelling women aged between 40 and 49 years. Various risk factors were investigated, including age, height, weight, body mass index, waist circumference, skeletal muscle mass index, smoking and drinking behaviors, systolic and diastolic blood pressure, fasting glucose levels, as well as triglyceride and cholesterol levels. To ensure the accuracy and validity of the results, a complex sampling technique was employed for data analysis. Each sample weight was calculated through a three-step process by estimating base weight, adjusting it for non-response, and modulating it for post-stratification. RESULTS: The incidence of SO was 4.26% (95% CI: 3.20-5.67%). The clinical risk factors for SO were age, height, weight, body mass index, waist circumference, skeletal muscle mass index, systolic blood pressure, diastolic blood pressure, and levels of fasting glucose, triglycerides, and total cholesterol (p < .05). CONCLUSION: This study explores the prevalence and risk factors of SO among community-dwelling women. It adds to the existing literature on SO and identifies potential risk factors in middle-aged women.

Keywords

References

  1. Donini LM, Busetto L, Bischoff SC, et al. Definition and diagnostic criteria for sarcopenic obesity: ESPEN and EASO consensus statement. Obesity Facts. 2022;15(3):321-35. https://doi.org/10.1159/000521241
  2. Donini LM, Busetto L, Bauer JM, et al. Critical appraisal of definitions and diagnostic criteria for sarcopenic obesity based on a systematic review. Clin Nutr. 2020;39(8):2368-88. https://doi.org/10.1016/j.clnu.2019.11.024
  3. Kulik CT, Ryan S, Harper S, et al. Aging populations and management. Academy of Management Briarcliff Manor, NY. 2014.
  4. Yang YS, Han B-D, Han K, et al. Obesity fact sheet in Korea, 2021: trends in obesity prevalence and obesity-related comorbidity incidence stratified by age from 2009 to 2019. Journal of Obesity & Metabolic Syndrome. 2022;31(2):169.
  5. Roubenoff R. Sarcopenic obesity: the confluence of two epidemics. Obesity. 2004;12(6):887.
  6. Zhang X, Xie X, Dou Q, et al. Association of sarcopenic obesity with the risk of all-cause mortality among adults over a broad range of different settings: a updated meta-analysis. BMC Geriatr. 2019;19(1):1-14. https://doi.org/10.1186/s12877-018-1019-5
  7. Prado CM, Siervo M, Mire E, et al. A population-based approach to define body-composition phenotypes. The American journal of clinical nutrition. 2014;99(6):1369-77. https://doi.org/10.3945/ajcn.113.078576
  8. Reijnierse EM, de van der Schueren MAE, Trappenburg MC, et al. Lack of knowledge and availability of diagnostic equipment could hinder the diagnosis of sarcopenia and its management. PLoS One. 2017;12(10):e0185837.
  9. Mehiret G, Molla A, Tesfaw A. Knowledge on risk factors and practice of early detection methods of breast cancer among graduating students of Debre Tabor University, Northcentral Ethiopia. BMC Womens Health. 2022;22(1):183.
  10. Newman AB, Kupelian V, Visser M, et al. Sarcopenia: alternative definitions and associations with lower extremity function. J Am Geriatr Soc. 2003;51(11):1602-9. https://doi.org/10.1046/j.1532-5415.2003.51534.x
  11. Stenholm S, Harris TB, Rantanen T, et al. Sarcopenic obesity-definition, etiology and consequences. Curr Opin Clin Nutr Metab Care. 2008;11(6):693.
  12. Atkins JL, Whincup PH, Morris RW, et al. Sarcopenic obesity and risk of cardiovascular disease and mortality: a population-based cohort study of older men. J Am Geriatr Soc. 2014;62(2):253-60. https://doi.org/10.1111/jgs.12652
  13. Hirani V, Naganathan V, Blyth F, et al. Longitudinal associations between body composition, sarcopenic obesity and outcomes of frailty, disability, institutionalisation and mortality in community-dwelling older men: The Concord Health and Ageing in Men Project. Age and ageing. 2017;46(3):413-20. https://doi.org/10.1093/ageing/afw214
  14. Sanada K, Chen R, Willcox B, et al. Association of sarcopenic obesity predicted by anthropometric measurements and 24-y all-cause mortality in elderly men: The Kuakini Honolulu Heart Program. Nutrition. 2018;46:97-102. https://doi.org/10.1016/j.nut.2017.09.003
  15. Hwang J, Park S. Gender-specific risk factors and prevalence for sarcopenia among community-dwelling young-old adults. Int J Environ Res Pub Heal. 2022;19(12):7232.
  16. Hwang J, Park S. Sex Differences of sarcopenia in an elderly asian population: the prevalence and risk factors. Int J Environ Res Pub Heal. 2022;19(19):11980.
  17. Hwang J, Park S. Gender-specific prevalence and risk factors of sarcopenic obesity in the Korean elderly population: a nationwide cross-sectional study. Int J Environ Res Pub Heal. 2023;20(2):1140.
  18. Lexell J, Downham D, Sjostrom M. Distribution of different fibre types in human skeletal muscles. Fibre type arrangement in m. vastus lateralis from three groups of healthy men between 15 and 83 years. J Neurol Sci. 1986;72(2-3):211-22. https://doi.org/10.1016/0022-510X(86)90009-2
  19. Kehayias JJ, Fiatarone MA, Zhuang H, et al. Total body potassium and body fat: relevance to aging. Am J Clin Nutr. 1997;66(4):904-10. https://doi.org/10.1093/ajcn/66.4.904
  20. Janssen I, Heymsfield SB, Wang ZM, et al. Skeletal muscle mass and distribution in 468 men and women aged 18-88 yr. J Appl Physiol. 2000;89(1):81-8. https://doi.org/10.1152/jappl.2000.89.1.81
  21. Janssen I, Heymsfield SB, Ross R. Low relative skeletal muscle mass (sarcopenia) in older persons is associated with functional impairment and physical disability. J Am Geriatr Soc. 2002;50(5):889-96. https://doi.org/10.1046/j.1532-5415.2002.50216.x
  22. Cruz-Jentoft AJ, Bahat G, Bauer J, et al. Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing. 2019;48(1):16-31. https://doi.org/10.1093/ageing/afy169
  23. National Health and Nutrition Examination Survey 2017-March 2020 Prepandemic Data Files Development of Files and Prevalence Estimates for Selected Health Outcomes. In: National Center for Health S, National Health Statistics Reports. Hyattsville, MD.
  24. Studenski SA, Peters KW, Alley DE, et al. The FNIH sarcopenia project: rationale, study description, conference recommendations, and final estimates. J Gerontol A Biol Sci Med Sci. 2014;69(5):547-58. https://doi.org/10.1093/gerona/glu010
  25. World Health Organization. Regional office for the western p. the asia-pacific perspective: redefining obesity and its treatment. Sydney: Health Communications Australia. 2000.
  26. Moreira MA, Zunzunegui MV, Vafaei A, et al. Sarcopenic obesity and physical performance in middle aged women: a cross-sectional study in Northeast Brazil. BMC Public Health. 2016;16:43.
  27. Lim S, Kim JH, Yoon JW, et al. Sarcopenic obesity: prevalence and association with metabolic syndrome in the Korean Longitudinal Study on Health and Aging (KLoSHA). Diabetes Care. 2010;33(7):1652-4. https://doi.org/10.2337/dc10-0107
  28. Lu CW, Yang KC, Chang HH, et al. Sarcopenic obesity is closely associated with metabolic syndrome. Obes Res Clin Pract. 2013;7(4):e301-7. https://doi.org/10.1016/j.orcp.2012.02.003
  29. Du Y, Wang X, Xie H, et al. Sex differences in the prevalence and adverse outcomes of sarcopenia and sarcopenic obesity in community dwelling elderly in East China using the AWGS criteria. BMC Endocr Disord. 2019;19(1):109.
  30. Hulett NA, Scalzo RL, Reusch JEB. Glucose uptake by skeletal muscle within the contexts of type 2 diabetes and exercise: an integrated approach. Nutrients. 2022;14(3).
  31. Perna S, Peroni G, Faliva MA, et al. Sarcopenia and sarcopenic obesity in comparison: prevalence, metabolic profile, and key differences. A cross-sectional study in Italian hospitalized elderly. Aging Clin Exp Res. 2017;29(6):1249-58. https://doi.org/10.1007/s40520-016-0701-8
  32. Cleasby ME, Jamieson PM, Atherton PJ. Insulin resistance and sarcopenia: mechanistic links between common co-morbidities. J Endocrinol. 2016;229(2):R67-81. https://doi.org/10.1530/JOE-15-0533
  33. Schrager MA, Metter EJ, Simonsick E, et al. Sarcopenic obesity and inflammation in the InCHIANTI study. J Appl Physiol. 2007;102(3):919-25. https://doi.org/10.1152/japplphysiol.00627.2006
  34. Daskalopoulou C, Wu YT, Pan W, et al. Factors related with sarcopenia and sarcopenic obesity among low- and middle-income settings: the 10/66 DRG study. Sci Rep. 2020;10(1):20453.
  35. Steffl M, Bohannon RW, Petr M, et al. Alcohol consumption as a risk factor for sarcopenia - a metaanalysis. BMC Geriatr. 2016;16:99.
  36. Kimball SR, Lang CH. Mechanisms underlying muscle protein imbalance induced by alcohol. Annu Rev Nutr. 2018;38:197-217. https://doi.org/10.1146/annurev-nutr-071816-064642
  37. Yin T, Zhang JX, Wang FX, et al. The association between sarcopenic obesity and hypertension, diabetes, and abnormal lipid metabolism in chinese adults. Diabetes Metab Syndr Obes. 2021;14:1963-73. https://doi.org/10.2147/DMSO.S308387
  38. Ferreira I, Snijder MB, Twisk JW, et al. Central fat mass versus peripheral fat and lean mass: opposite (adverse versus favorable) associations with arterial stiffness? the amsterdam growth and health longitudinal study. J Clin Endocrinol Metab. 2004;89(6):2632-9. https://doi.org/10.1210/jc.2003-031619
  39. Snijder MB, Henry RM, Visser M, et al. Regional body composition as a determinant of arterial stiffness in the elderly: The Hoorn Study. J Hypertens. 2004;22(12):2339-47. https://doi.org/10.1097/00004872-200412000-00016
  40. Dominguez LJ, Barbagallo M. The cardiometabolic syndrome and sarcopenic obesity in older persons. J Cardiometab Syndr. 2007;2(3):183-9. https://doi.org/10.1111/j.1559-4564.2007.06673.x
  41. Goswami B, Reang T, Sarkar S, et al. Role of body visceral fat in hypertension and dyslipidemia among the diabetic and nondiabetic ethnic population of Tripura-A comparative study. J Family Med Prim Care. 2020;9(6):2885-90. https://doi.org/10.4103/jfmpc.jfmpc_187_20
  42. Bredella MA. Sex differences in body composition. Sex and gender factors affecting metabolic homeostasis, Diab Obes. 2017:9-27.