Skip to main content

Advertisement

Log in

Prevalence of osteosarcopenic obesity and related factors among Iranian older people: Bushehr Elderly Health (BEH) program

  • Original Article
  • Published:
Archives of Osteoporosis Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

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

  1. 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

    PubMed  PubMed Central  Google Scholar 

  2. 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

    PubMed  PubMed Central  Google Scholar 

  3. Coughlan T, Dockery F (2014) Osteoporosis and fracture risk in older people. Clin Med (Lond) 14(2):187–191

    PubMed  Google Scholar 

  4. 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

    Google Scholar 

  5. Jura M, Kozak LP (2016) Obesity and related consequences to ageing. Age (Dordr) 38(1):23

    PubMed  Google Scholar 

  6. 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

    CAS  PubMed  Google Scholar 

  7. 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

    CAS  Google Scholar 

  8. 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

    PubMed  PubMed Central  Google Scholar 

  9. 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

    PubMed  Google Scholar 

  10. 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

    PubMed  PubMed Central  Google Scholar 

  11. Kolbaşı EN, Demirdağ F (2020) Prevalence of osteosarcopenic obesity in community-dwelling older adults: a cross-sectional retrospective study. Arch Osteoporos 15(1):166

    PubMed  Google Scholar 

  12. 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

    PubMed  Google Scholar 

  13. 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

    CAS  PubMed  Google Scholar 

  14. 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

    PubMed  PubMed Central  Google Scholar 

  15. 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

    PubMed  Google Scholar 

  16. 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

    CAS  Google Scholar 

  17. 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

    PubMed  Google Scholar 

  18. 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

    PubMed  PubMed Central  Google Scholar 

  19. Aadahl M, Jørgensen T (2003) Validation of a new self-report instrument for measuring physical activity. Med Sci Sports Exerc 35(7):1196–1202

    PubMed  Google Scholar 

  20. 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

    PubMed  Google Scholar 

  21. Sheu A, Diamond T (2016) Bone mineral density: testing for osteoporosis. Aust Prescr 39(2):35–39

    PubMed  PubMed Central  Google Scholar 

  22. 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

    PubMed  PubMed Central  Google Scholar 

  23. 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

    PubMed  PubMed Central  Google Scholar 

  24. 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

    PubMed  PubMed Central  Google Scholar 

  25. 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

    Google Scholar 

  26. 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

    CAS  PubMed  Google Scholar 

  27. Mahan LK, Raymond JL (2016) Krause and Mahan’s food and the nutrition are process-e-book, 15th edn. Elsevier Health Sciences

    Google Scholar 

  28. 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

    PubMed  Google Scholar 

  29. 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

    PubMed  Google Scholar 

  30. 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

    PubMed  Google Scholar 

  31. Mansournia MA, Nazemipour M, Etminan M (2022) P-value, compatibility, and S-value. Glob Epidemiol 4:100085

    PubMed  PubMed Central  Google Scholar 

  32. 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

    Article  PubMed  Google Scholar 

  33. 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

    CAS  PubMed  Google Scholar 

  34. 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

    PubMed  Google Scholar 

  35. 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

    PubMed  Google Scholar 

  36. 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

    CAS  PubMed  Google Scholar 

  37. 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

    Google Scholar 

  38. 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

    CAS  PubMed  Google Scholar 

  39. 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

    PubMed  PubMed Central  Google Scholar 

  40. Hita-Contreras F, Martínez-Amat A, Cruz-Díaz D, Pérez-López FR (2015) Osteosarcopenic obesity and fall prevention strategies. Maturitas 80(2):126–132

    PubMed  Google Scholar 

  41. 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

    CAS  PubMed  PubMed Central  Google Scholar 

  42. 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

    PubMed  Google Scholar 

  43. 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

    PubMed  Google Scholar 

  44. 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

    CAS  PubMed  PubMed Central  Google Scholar 

  45. 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

    PubMed  PubMed Central  Google Scholar 

  46. 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

    CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Mohammad Ali Mansournia or Noushin Fahimfar.

Ethics declarations

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.

Conflicts of interest

None.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

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

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11657-023-01340-9

Keywords

Navigation