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Epidemiology and Population Health

Obstructive sleep apnea (OSA) is associated with increased risk of early-onset sarcopenia and sarcopenic obesity: Results from NHANES 2015-2018

Abstract

Objective

This study aims to estimate the prevalence of early-onset sarcopenia and sarcopenic obesity in the United States and its relative risk due to obstructive sleep apnea (OSA).

Methods

Data in this cross-sectional study were extracted from the National Health and Nutritional Examination Survey (NHANES) 2015-2018. Weighted multistage stratified probability sampling design was considered to estimate the prevalence of early-onset sarcopenia and sarcopenic obesity. Weighted multivariable logistic regression analyses and weighted multivariable mediation models were performed to evaluate the association between OSA and early-onset sarcopenia.

Results

The prevalence of early-onset sarcopenia and early-onset sarcopenic obesity was estimated to be 5.5% and 4.6%, respectively. A higher prevalence of sarcopenia (12% V.S. 5.5%, P < 0.01) and sarcopenic obesity (10.3% V.S. 4.0%, P < 0.01) was observed among participants with OSA than those without OSA. Multivariable logistic regression models suggested that participants with OSA had higher odds ratios of suffering from early-onset sarcopenia [Odds Ratio (OR): 1.5, 95% confidence interval (CI):1.1-2.7] and early-onset sarcopenic obesity [OR: 1.8, 95% CI: 1.1-3.1] after adjusting for potential confounding variables. Mediation analyses suggested serum chronic reaction protein (CRP) mediated 23.7% (P < 0.01) & 26.2% (P < 0.01), homeostasis model assessment insulin resistance index (HOMA-IR) mediated 24.8% (P < 0.01) & 20.7% (P < 0.05), body mass index (BMI) mediated 46.4% (P < 0.05) & 49.9% (P < 0.01), HEI-2015 mediated 23.3% (P < 0.01) & 25.6% (P < 0.01), and Vitamin D mediated 7.5% (P < 0.01) & 8.5% (P < 0.01) of the potential effects of OSA on early-onset sarcopenia and sarcopenic obesity, respectively.

Conclusion

Early-onset sarcopenia and sarcopenic obesity were prevalent among young adults in the US. OSA is a significant independent risk factor and may induce muscle loss by unhealthy diet habits, higher BMI, chronic inflammation, insulin resistance, and Vitamin D. It was essential for clinicians to arrange appropriate screening and interventions for patients with OSA to prevent muscle loss as early as possible.

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Fig. 1: Flow chart for the study design and participants.

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Data availability

The data generated during and/or analyzed during the current study will be available from the corresponding author on reasonable request.

References

  1. Cruz-Jentoft AJ, Sayer AA. Sarcopenia. Lancet. 2019;393:2636–46.

    Article  PubMed  Google Scholar 

  2. Jung HN, Jung CH, Hwang YC. Sarcopenia in youth. Metabolism. 2023;144:155557.

    Article  CAS  PubMed  Google Scholar 

  3. Echouffo-Tcheugui JB, Niiranen TJ, McCabe EL, Henglin M, Jain M, Vasan RS, et al. An early-onset subgroup of Type 2 Diabetes: A multigenerational, prospective analysis in the Framingham Heart Study. Diabetes Care. 2020;43:3086–93.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Choi KM. Sarcopenia and sarcopenic obesity. Korean J Intern Med. 2016;31:1054–60.

    Article  ADS  PubMed  PubMed Central  Google Scholar 

  5. Barazzoni R, Bischoff S, Boirie Y, Busetto L, Cederholm T, Dicker D, et al. Sarcopenic obesity: time to meet the challenge. Obes Facts. 2018;11:294–305.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Janssen I, Shepard DS, Katzmarzyk PT, Roubenoff R. The healthcare costs of sarcopenia in the United States. J Am Geriatr Soc. 2004;52:80–5.

    Article  PubMed  Google Scholar 

  7. Goates S, Du K, Arensberg MB, Gaillard T, Guralnik J, Pereira SL. Economic Impact of Hospitalizations in US Adults with Sarcopenia. J Frailty Aging. 2019;8:93–99.

    CAS  PubMed  Google Scholar 

  8. De Spiegeleer A, Beckwee D, Bautmans I, Petrovic M. Pharmacological interventions to improve muscle mass, muscle strength and physical performance in older people: an umbrella review of systematic reviews and meta-analyses. Drugs Aging. 2018;35:719–34.

    Article  PubMed  Google Scholar 

  9. Heinzer R, Vat S, Marques-Vidal P, Marti-Soler H, Andries D, Tobback N, et al. Prevalence of sleep-disordered breathing in the general population: the HypnoLaus study. Lancet Respir Med. 2015;3:310–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Peppard PE, Young T, Palta M, Skatrud J. Prospective study of the association between sleep-disordered breathing and hypertension. N Engl J Med. 2000;342:1378–84.

    Article  CAS  PubMed  Google Scholar 

  11. Gottlieb DJ, Yenokyan G, Newman AB, O’Connor GT, Punjabi NM, Quan SF, et al. Prospective study of obstructive sleep apnea and incident coronary heart disease and heart failure: the sleep heart health study. Circulation. 2010;122:352–60.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Yaggi HK, Concato J, Kernan WN, Lichtman JH, Brass LM, Mohsenin V. Obstructive sleep apnea as a risk factor for stroke and death. N Engl J Med. 2005;353:203–41.

    Article  Google Scholar 

  13. Kendzerska T, Gershon AS, Hawker G, Tomlinson G, Leung RS. Obstructive sleep apnea and incident diabetes: a historical cohort study. Am J Respir Crit Care Med. 2014;190:218–25.

    Article  PubMed  Google Scholar 

  14. Bekfani T, Schöbel C, Pietrock C, Valentova M, Ebner N, Döhner W, et al. Heart failure and sleep-disordered breathing: susceptibility to reduced muscle strength and preclinical congestion (SICA-HF cohort). ESC Heart Fail. 2020;7:2063–70.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Fernandes JFR, Barreto Silva MI, Loivos CP, Menna Barreto APM, Meira VDS, Kaiser SE, et al. Obstructive sleep apnea in non-dialyzed chronic kidney disease patients: Association with body adiposity and sarcopenia. Nutrition. 2019;57:282–9.

    Article  PubMed  Google Scholar 

  16. Ahluwalia N, Dwyer J, Terry A, Moshfegh A, Johnson C. Update on NHANES Dietary Data: Focus on collection, release, analytical considerations, and uses to inform public policy. Adv Nutr. 2016;7:121–34.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Tahapary DL, Pratisthita LB, Fitri NA, Marcella C, Wafa S, Kurniawan F, et al. Challenges in the diagnosis of insulin resistance: Focusing on the role of HOMA-IR and Tryglyceride/glucose index. Diabetes Metab Syndr. 2022;16:102581.

    Article  CAS  PubMed  Google Scholar 

  18. Krebs-Smith SM, Pannucci TE, Subar AF, Kirkpatrick SI, Lerman JL, Tooze JA, et al. Update of the Healthy Eating Index: HEI-2015. J Acad Nutr Diet. 2018;118:1591–602.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Cruz-Jentoft AJ, Baeyens JP, Bauer JM, Boirie Y, Cederholm T, Landi F, et al. Sarcopenia: European consensus on definition and diagnosis: Report of the European Working Group on Sarcopenia in Older People. Age Ageing. 2010;39:412–23.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Studenski SA, Peters KW, Alley DE, Cawthon PM, McLean RR, Harris TB, et al. The FNIH sarcopenia project: rationale, study description, conference recommendations, and final estimates. J Gerontol A Biol Sci Med Sci. 2014;69:547–58.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Bianchi L, Maietti E, Abete P, Bellelli G, Bo M, Cherubini A, et al. Comparing EWGSOP2 and FNIH Sarcopenia definitions: agreement and 3-year survival prognostic value in older hospitalized adults: The GLISTEN Study. J Gerontol A Biol Sci Med Sci. 2020;75:1331–7.

    PubMed  Google Scholar 

  22. Donini LM, Busetto L, Bischoff SC, Cederholm T, Ballesteros-Pomar MD, Batsis JA, et al. Definition and diagnostic criteria for sarcopenic obesity: ESPEN and EASO consensus statement. Clin Nutr. 2022;41:990–1000.

    Article  CAS  PubMed  Google Scholar 

  23. Arslanian S, Bacha F, Grey M, Marcus MD, White NH, Zeitler P. Evaluation and management of youth-onset type 2 diabetes: a position statement by the American Diabetes Association. Diabetes Care. 2018;41:2648–68.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Scinicariello F, Buser MC, Feroe AG, Attanasio R. Antimony and sleep-related disorders: NHANES 2005-2008. Environ Res. 2017;156:247–52.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Palmer MK, Toth PP. Trends in lipids, obesity, metabolic syndrome, and diabetes mellitus in the United States: An NHANES Analysis (2003-2004 to 2013-2014). Obesity. 2019;27:309–14.

    Article  CAS  PubMed  Google Scholar 

  26. Petermann-Rocha F, Ferguson LD, Gray SR, Rodríguez-Gómez I, Sattar N, Siebert S, et al. Association of sarcopenia with incident osteoporosis: a prospective study of 168,682 UK biobank participants. J Cachexia Sarcopenia Muscle. 2021;12:1179–88.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Cleasby ME, Jamieson PM, Atherton PJ. Insulin resistance and sarcopenia: mechanistic links between common co-morbidities. J Endocrinol. 2016;229:R67–81.

    Article  CAS  PubMed  Google Scholar 

  28. Han E, Lee YH, Kim YD, Kim BK, Park JY, Kim DY, et al. Nonalcoholic fatty liver disease and sarcopenia are independently associated with cardiovascular risk. Am J Gastroenterol. 2020;115:584–95.

    Article  PubMed  Google Scholar 

  29. Bauer J, Morley JE, Schols AMWJ, Ferrucci L, Cruz-Jentoft AJ, Dent E, et al. Sarcopenia: A time for action. An SCWD Position Paper. J Cachexia Sarcopenia Muscle. 2019;10:956–61.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Sayer AA, Syddall H, Martin H, Patel H, Baylis D, Cooper C. The developmental origins of sarcopenia. J Nutr Health Aging. 2008;12:427–32.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Roubenoff R. Sarcopenic obesity: the confluence of two epidemics. Obes Res. 2004;12:887–8.

    Article  PubMed  Google Scholar 

  32. Shibuki T, Iida M, Harada S, Kato S, Kuwabara K, Hirata A, et al. The association between sleep parameters and sarcopenia in Japanese community-dwelling older adults. Arch Gerontol Geriatr. 2023;109:104948.

    Article  PubMed  Google Scholar 

  33. Zhang Z, Wang J, Wang J, Ma B, Jia Y, Chen O. Sleep duration affects the sequential change of body mass index and muscle strength: a contribution to dynapenic obesity. BMC Geriatr. 2023;23:288.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Piovezan RD, Hirotsu C, Moizinho R, de Sá Souza H, D’Almeida V, Tufik S, et al. Associations between sleep conditions and body composition states: results of the EPISONO study. J Cachexia Sarcopenia Muscle. 2019;10:962–73.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Wolfe RR. The underappreciated role of muscle in health and disease. Am J Clin Nutr. 2006;84:475–82.

    Article  CAS  PubMed  Google Scholar 

  36. Nanduri J, Wang N, Yuan G, Khan SA, Souvannakitti D, Peng YJ, et al. Intermittent hypoxia degrades HIF-2alpha via calpains resulting in oxidative stress: implications for recurrent apnea-induced morbidities. Proc Natl Acad Sci USA. 2009;106:1199–204.

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  37. DeFronzo RA, Tripathy D. Skeletal muscle insulin resistance is the primary defect in type 2 diabetes. Diabetes Care. 2009;32:S157–63.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Prabhakar NR, Peng YJ, Nanduri J. Hypoxia-inducible factors and obstructive sleep apnea. J Clin Invest. 2020;130:5042–51.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Lévy P, Pépin JL, Arnaud C, Tamisier R, Borel JC, Dematteis M, et al. Intermittent hypoxia and sleep-disordered breathing: current concepts and perspectives. Eur Respir J. 2008;32:1082–95.

    Article  PubMed  Google Scholar 

  40. Deutz NE, Bauer JM, Barazzoni R, Biolo G, Boirie Y, Bosy-Westphal A, et al. Protein intake and exercise for optimal muscle function with aging: recommendations from the ESPEN Expert Group. Clin Nutr. 2014;33:929–36.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Lockley SW, Skene DJ, Arendt J. Comparison between subjective and actigraphic measurement of sleep and sleep rhythms. J Sleep Res. 1999;8:175–83.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

We are grateful to all the subjects for their participation.

Funding

CL was funded by the Natural Science Foundation of China (NO. 82270928), the Fujian Provincial Health Science and Technology Project (No. 2022CXB016), and High-quality development Funds of The First Affiliated Hospital of Xiamen University (NO. YN81870611).

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Authors

Contributions

The study concept and design were framed by XS and CL. XT conducted the statistical data analysis and drafted the manuscript. WL, RN, and WL contributed to the discussion. XS and CL contributed to the discussion and revision. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Xin Sun or Changqin Liu.

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The authors declare no competing interests.

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Tao, X., Niu, R., Lu, W. et al. Obstructive sleep apnea (OSA) is associated with increased risk of early-onset sarcopenia and sarcopenic obesity: Results from NHANES 2015-2018. Int J Obes (2024). https://doi.org/10.1038/s41366-024-01493-8

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