Abstract
Summary
Osteosarcopenic obesity is a new syndrome that has been recently discussed in the scientific community. It is a condition that affects the elderly and involves the loss of bone, muscle, and fat tissue. The few studies that have been done on this disease showed that it has a high prevalence among the elderly and can cause various complications. This study was the first one to investigate this syndrome in Iran, and found that its prevalence was 19.83%.
Background
Osteosarcopenic obesity syndrome (OSO) is a condition that involves osteopenia/osteoporosis, sarcopenia, and obesity. It leads to a reduction in the quality of life of the elderly and an increase in hospitalization which has attracted the attention of physicians. This study aimed to determine the prevalence and risk factors of osteosarcopenic obesity in people over 60 years of age in Bushehr.
Materials and methods
We used data from the Bushehr study, which included 2426 participants aged ≥ 60 years. We assessed osteoporosis/osteopenia based on T-score; sarcopenia based on hand grip strength, skeletal muscle mass index (SMI), and walking speed; and obesity based on fat mass and BMI for diagnosing OSO. We first examined the factors related to OSO in the univariable analysis and then fitted the multiple logistic regression model, separately for women and men. The result was summarized as adjusted odds ratios with a 95% confidence interval.
Results
In total, 2339 elderly were examined in our study, of which 464 elderly were suffering from osteosarcopenic obesity. The standardized prevalence of OSO was 23.66% (95% CI: 21.15–26.16) in women and 18.53% (95% CI 16.35–20.87) in men. Age was positively linked to osteosarcopenic obesity in both genders and so was diabetes in men. However, education, physical activity, and protein intake were negatively linked to osteosarcopenic obesity in both genders, as well as hypertriglyceridemia and hypertension in women.
Conclusion
The prevalence of OSO among men and women of Bushehr city is high and is related to increasing age, low levels of education, physical activity, and protein intake among women and men.
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Data Availability
The dataset analyzed in this paper is provided by BEH study that is not publicly available, however it could be accessible upon reasonable request.
References
Olshansky SJ, Goldman DP, Zheng Y, Rowe JW (2009) Aging in America in the twenty-first century: demographic forecasts from the MacArthur foundation research network on an aging society. Milbank Q 87(4):842–862
Jaul E, Barron J (2017) Age-related diseases and clinical and public health implications for the 85 years old and over population. Front Public Health 5:335
Coughlan T, Dockery F (2014) Osteoporosis and fracture risk in older people. Clin Med (Lond) 14(2):187–191
Dodds RM, Roberts HC, Cooper C, Sayer AA (2015) The epidemiology of sarcopenia. J Clin Densitom: Off J Int Soc Clin Densitom 18(4):461–466
Jura M, Kozak LP (2016) Obesity and related consequences to ageing. Age (Dordr) 38(1):23
Reyes-Farias M, Fos-Domenech J, Serra D, Herrero L, Sánchez-Infantes D (2021) White adipose tissue dysfunction in obesity and aging. Biochem Pharmacol 192:114723
Zhao LJ, Jiang H, Papasian CJ, Maulik D, Drees B, Hamilton J et al (2008) Correlation of obesity and osteoporosis: effect of fat mass on the determination of osteoporosis. J Bone Miner Res: Off J Am Soc Bone Miner Res 23(1):17–29
Ilich JZ, Kelly OJ, Inglis JE (2016) Osteosarcopenic obesity syndrome: what is it and how can it be identified and diagnosed? Curr Gerontol Geriatr Res 2016:7325973
Keramidaki K, Tsagari A, Hiona M, Risvas G (2019) Osteosarcopenic obesity, the coexistence of osteoporosis, sarcopenia and obesity and consequences in the quality of life in older adults ≥65 years-old in Greece. J Frailty, Sarcopenia Falls 4(4):91–101
Ma Y, Zhang W, Han P, Kohzuki M, Guo Q (2020) Osteosarcopenic obesity associated with poor physical performance in the elderly Chinese community. Clin Interv Aging 15:1343–1352
Kolbaşı EN, Demirdağ F (2020) Prevalence of osteosarcopenic obesity in community-dwelling older adults: a cross-sectional retrospective study. Arch Osteoporos 15(1):166
Szlejf C, Parra-Rodríguez L, Rosas-Carrasco O (2017) Osteosarcopenic obesity: prevalence and relation with frailty and physical performance in middle-aged and older women. J Am Med Dir Assoc 18(8):733.e1-e5
Lee K (2020) Association of osteosarcopenic obesity and its components: osteoporosis, sarcopenia and obesity with insulin resistance. J Bone Miner Metab 38(5):695–701
Chen X, Kong C, Yu H, Gong J, Lan L, Zhou L et al (2019) Association between osteosarcopenic obesity and hypertension among four minority populations in China: a cross-sectional study. BMJ Open 9(7):e026818
Mo D, Hsieh P, Yu H, Zhou L, Gong J, Xu L et al (2018) Osteosarcopenic obesity and its relationship with dyslipidemia in women from different ethnic groups of China. Arch Osteoporos 13(1):65
Choi MK, Bae YJ (2020) Protein intake and osteosarcopenic adiposity in Korean adults aged 50 years and older. Osteoporos Int: J Established Result Cooperation Between Eur Found Osteoporos Natl Osteoporos Found USA 31(12):2363–2372
Dos Santos VR, Gobbo LA (2020) Physical activity is associated with functional capacity of older women with osteosarcopenic obesity: 24-month prospective study. Eur J Clin Nutr 74(6):912–919
Shafiee G, Ostovar A, Heshmat R, Darabi H, Sharifi F, Raeisi A et al (2017) Bushehr Elderly Health (BEH) programme: study protocol and design of musculoskeletal system and cognitive function (stage II). BMJ Open 7(8):e013606
Aadahl M, Jørgensen T (2003) Validation of a new self-report instrument for measuring physical activity. Med Sci Sports Exerc 35(7):1196–1202
Rothney MP, Brychta RJ, Schaefer EV, Chen KY, Skarulis MC (2009) Body composition measured by dual-energy X-ray absorptiometry half-body scans in obese adults. Obesity (Silver Spring, Md) 17(6):1281–1286
Sheu A, Diamond T (2016) Bone mineral density: testing for osteoporosis. Aust Prescr 39(2):35–39
Jang HN, Moon MK, Koo BK (2022) Prevalence of diabetic retinopathy in undiagnosed diabetic patients: a nationwide population-based study. Diabetes Metab J 46(4):620–629
Shafiee G, Ostovar A, Heshmat R, Keshtkar AA, Sharifi F, Shadman Z et al (2018) Appendicular skeletal muscle mass reference values and the peak muscle mass to identify sarcopenia among Iranian healthy population. Int J Prev Med 9:25
Li Y, Wang H, Wang K, Wang W, Dong F, Qian Y et al (2017) Optimal body fat percentage cut-off values for identifying cardiovascular risk factors in Mongolian and Han adults: a population-based cross-sectional study in Inner Mongolia, China. BMJ Open 7(4):e014675
Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA et al (2005) Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart. Lung, and Blood Institute scientific statement. 112(17):2735–52
Brooks GA, Butte NF, Rand WM, Flatt JP, Caballero B (2004) Chronicle of the Institute of Medicine physical activity recommendation: how a physical activity recommendation came to be among dietary recommendations. Am J Clin Nutr 79(5):921s-s930
Mahan LK, Raymond JL (2016) Krause and Mahan’s food and the nutrition are process-e-book, 15th edn. Elsevier Health Sciences
Mansournia MA, Collins GS, Nielsen RO, Nazemipour M, Jewell NP, Altman DG et al (2021) A CHecklist for statistical Assessment of Medical Papers (the CHAMP statement): explanation and elaboration. Br J Sports Med 55(18):1009–1017
Mansournia MA, Collins GS, Nielsen RO, Nazemipour M, Jewell NP, Altman DG et al (2021) CHecklist for statistical Assessment of Medical Papers: the CHAMP statement. Br J Sports Med 55(18):1002–1003
Greenland S, Mansournia MA, Joffe M (2022) To curb research misreporting, replace significance and confidence by compatibility: a preventive medicine golden jubilee article. Prev Med 164:107127
Mansournia MA, Nazemipour M, Etminan M (2022) P-value, compatibility, and S-value. Glob Epidemiol 4:100085
Etminan M, Brophy JM, Collins G, Nazemipour M, Mansournia MA (2021) To adjust or not to adjust: the role of different covariates in cardiovascular observational studies. Am Heart J 237:62–67. https://doi.org/10.1016/j.ahj.2021.03.008
Chung JH, Hwang HJ, Shin HY, Han CH (2016) Association between sarcopenic obesity and bone mineral density in middle-aged and elderly Korean. Ann Nutr Metab 68(2):77–84
Kim J, Lee Y, Kye S, Chung YS, Kim JH, Chon D et al (2017) Diet quality and osteosarcopenic obesity in community-dwelling adults 50 years and older. Maturitas 104:73–79
Cunha PM, Ribeiro AS, Tomeleri CM, Schoenfeld BJ, Silva AM, Souza MF et al (2018) The effects of resistance training volume on osteosarcopenic obesity in older women. J Sports Sci 36(14):1564–1571
Lee SH, Lee JY, Lim KH, Lee YS, Koh JM (2022) Associations between plasma growth and differentiation factor-15 with aging phenotypes in muscle, adipose tissue, and bone. Calcif Tissue Int 110(2):236–243
Kim J, Lee Y, Kye S, Chung YS, Lee O (2017) Association of serum vitamin D with osteosarcopenic obesity: Korea National Health and Nutrition Examination Survey 2008–2010. J Cachex Sarcopenia Muscle 8(2):259–266
Kelly OJ, Gilman JC, Kim Y, Ilich JZ (2017) Macronutrient intake and distribution in the etiology, prevention and treatment of osteosarcopenic obesity. Curr Aging Sci 10(2):83–105
Lin CL, Lee MC, Hsu YJ, Huang WC, Huang CC, Huang SW (2018) Isolated soy protein supplementation and exercise improve fatigue-related biomarker levels and bone strength in ovariectomized mice. Nutrients 10(11):1792
Hita-Contreras F, Martínez-Amat A, Cruz-Díaz D, Pérez-López FR (2015) Osteosarcopenic obesity and fall prevention strategies. Maturitas 80(2):126–132
Wang T, Feng X, Zhou J, Gong H, Xia S, Wei Q et al (2016) Type 2 diabetes mellitus is associated with increased risks of sarcopenia and pre-sarcopenia in Chinese elderly. Sci Rep 6:38937
Janghorbani M, Van Dam RM, Willett WC, Hu FB (2007) Systematic review of type 1 and type 2 diabetes mellitus and risk of fracture. Am J Epidemiol 166(5):495–505
Grant B, Sandelson M, Agyemang-Prempeh B, Zalin A (2021) Managing obesity in people with type 2 diabetes. Clin Med (Lond) 21(4):e327–e231
Endo T, Akai K, Kijima T, Kitahara S, Abe T, Takeda M et al (2021) An association analysis between hypertension, dementia, and depression and the phases of pre-sarcopenia to sarcopenia: a cross-sectional analysis. PLoS One 16(7):e0252784
Wu HL, Yang J, Wei YC, Wang JY, Jia YY, Li L et al (2022) Analysis of the prevalence, risk factors, and clinical characteristics of osteoporosis in patients with essential hypertension. BMC Endocr Disord 22(1):165
Hu Z, Yang K, Hu Z, Li M, Wei H, Tang Z et al (2021) Determining the association between hypertension and bone metabolism markers in osteoporotic patients. Medicine (Baltimore) 100(24):e26276
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The BEH program has received the ethical approval of both Bushehr University of Medical Sciences and Endocrinology and Metabolism Research Institute. Informed consent was obtained from all participants included in the BEH program. The current study was approved by the ethical approval number of IR.TUMS.SPH.REC.1401.049.
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Ahmadinezhad, M., Mansournia, M.A., Fahimfar, N. et al. Prevalence of osteosarcopenic obesity and related factors among Iranian older people: Bushehr Elderly Health (BEH) program. Arch Osteoporos 18, 137 (2023). https://doi.org/10.1007/s11657-023-01340-9
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DOI: https://doi.org/10.1007/s11657-023-01340-9