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Health-related physical fitness in women with polycystic ovary syndrome versus controls: a systematic review and meta-analysis

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Abstract

Introduction

Polycystic ovary syndrome (PCOS) is a common endocrinopathy associated with cardiometabolic dysfunction.

Purpose

(1) To compare HRPF indices, including cardiorespiratory fitness (CRF), muscle strength, and muscle endurance, between women with and without PCOS (i.e., controls). (2) To explore the impact of moderating factors, i.e., insulin sensitivity, androgen levels, physical activity levels, and body mass index, on these indices.

Methods

Articles comparing HRPF between PCOS and control groups were identified until February 27th, 2022. Random-effects meta-analyses were conducted and moderating factors were explored with subgroup and meta-regression analyses.

Results

Twenty studies were included. Compared to controls, CRF was lower in women with PCOS (n = 15, − 0.70 [− 1.35, − 0.05], P = 0.03, I2 = 95%). Meta-regression analyses demonstrated that fasting insulin (P = 0.004) and homeostatic model assessment of insulin resistance (P = 0.006) were negatively associated with CRF, while sex-hormone binding globulin levels (P = 0.003) were positively associated. Absolute muscle strength was not different between PCOS and controls (n = 7, 0.17 [− 0.10, 0.45], P = 0.22, I2 = 37%). One study evaluated muscle endurance and reported lower core endurance in PCOS subjects compared to controls.

Conclusion

These data suggest that PCOS may be associated with impaired CRF. It remains unclear whether muscle strength and endurance differ between women with PCOS and controls. As this data set was limited by a small sample size, potential for bias, and inconsistent findings, additional studies accounting for the heterogeneous presentation of PCOS as well as improved matching between PCOS and controls for characteristics known to affect HRPF would help elucidate the impact of PCOS on indices of HRPF.

PROSPERO registration number

CRD42020196380.

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Availability of data and materials

All data analyzed during this study are included in this published article and supplementary information file. Please direct further data inquiries to the corresponding author.

References

  1. Yildiz BO et al (2012) Prevalence, phenotype and cardiometabolic risk of polycystic ovary syndrome under different diagnostic criteria. Hum Reprod 27(10):3067–3073

    Article  PubMed  Google Scholar 

  2. Rotterdam EA-SPCWG (2004) Revised 2003 consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndrome. Fertil Steril 81(1):19–25

  3. Bani-Mohammad M, Majdi-Seghinsara A (2017) Polycystic ovary syndrome (PCOS), diagnostic criteria, and AMH. Asian Pac J Cancer Prev 18(1):17–21

    PubMed  Google Scholar 

  4. Zawadski JK, Dunaif A (1992) Diagnostic criteria for polycystic ovary syndrome: towards a rational approach. In: Dunaif A, Givens JR, Haseltine FP, Merriam GR (eds) Polycystic ovary syndrome. Blackwell Scientific Publications, Cambridge, pp 377–384

    Google Scholar 

  5. Azziz R et al (2009) The Androgen Excess and PCOS Society criteria for the polycystic ovary syndrome: the complete task force report. Fertil Steril 91(2):456–488

    Article  PubMed  Google Scholar 

  6. Joham AE et al (2015) Prevalence of infertility and use of fertility treatment in women with polycystic ovary syndrome: data from a large community-based cohort study. J Womens Health (Larchmt) 24(4):299–307

    Article  PubMed  Google Scholar 

  7. Wekker V et al (2020) Long-term cardiometabolic disease risk in women with PCOS: a systematic review and meta-analysis. Hum Reprod Update 26(6):942–960

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Lim SS et al (2012) Overweight, obesity and central obesity in women with polycystic ovary syndrome: a systematic review and meta-analysis. Hum Reprod Update 18(6):618–637

    Article  CAS  PubMed  Google Scholar 

  9. Behboudi-Gandevani S et al (2016) Insulin resistance in obesity and polycystic ovary syndrome: systematic review and meta-analysis of observational studies. Gynecol Endocrinol 32(5):343–353

    Article  CAS  PubMed  Google Scholar 

  10. Teede HJ et al (2018) Recommendations from the international evidence-based guideline for the assessment and management of polycystic ovary syndrome. Fertil Steril 110(3):364–379

    Article  PubMed  PubMed Central  Google Scholar 

  11. Shele G, Genkil J, Speelman D (2020) A systematic review of the effects of exercise on hormones in women with polycystic ovary syndrome. J Funct Morphol Kinesiol 5(2):35

    Article  PubMed  PubMed Central  Google Scholar 

  12. Harrison CL et al (2011) Exercise therapy in polycystic ovary syndrome: a systematic review. Hum Reprod Update 17(2):171–183

    Article  PubMed  Google Scholar 

  13. Patten RK et al (2020) Exercise interventions in polycystic ovary syndrome: a systematic review and meta-analysis. Front Physiol 11:606

    Article  PubMed  PubMed Central  Google Scholar 

  14. Woodward A et al (2019) The effects of physical exercise on cardiometabolic outcomes in women with polycystic ovary syndrome not taking the oral contraceptive pill: a systematic review and meta-analysis. J Diabetes Metab Disord 18(2):597–612

    Article  PubMed  PubMed Central  Google Scholar 

  15. Kogure GS et al (2018) Hyperandrogenism enhances muscle strength after progressive resistance training, independent of body composition, in women with polycystic ovary syndrome. J Strength Cond Res 32(9):2642–2651

    Article  PubMed  Google Scholar 

  16. Scott D et al (2017) Exploring factors related to changes in body composition, insulin sensitivity and aerobic capacity in response to a 12-week exercise intervention in overweight and obese women with and without polycystic ovary syndrome. PLoS ONE 12(8):e0182412

    Article  PubMed  PubMed Central  Google Scholar 

  17. Corbin CB, Pangrazi RP, Franks BD (2000) Definitions: health, fitness, and physical activity. President’s Counc on Phys Fitness and Sports Res Digest 3(9):1–11

    Google Scholar 

  18. Caspersen CJ, Powell KE, Christenson GM (1985) Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research. Public Health Rep 100(2):126–131

    CAS  PubMed  PubMed Central  Google Scholar 

  19. Al-Mallah MH, Sakr S, Al-Qunaibet A (2018) Cardiorespiratory fitness and cardiovascular disease prevention: an update. Curr Atheroscler Rep 20(1):1

    Article  PubMed  Google Scholar 

  20. Kodama S et al (2009) Cardiorespiratory fitness as a quantitative predictor of all-cause mortality and cardiovascular events in healthy men and women: a meta-analysis. JAMA 301(19):2024–2035

    Article  CAS  PubMed  Google Scholar 

  21. Khan H et al (2017) Cardiorespiratory fitness and nonfatalcardiovascular events: a population-based follow-up study. Am Heart J 184:55–61

    Article  PubMed  Google Scholar 

  22. Wang DXM et al (2020) Muscle mass, strength, and physical performance predicting activities of daily living: a meta-analysis. J Cachexia Sarcopenia Muscle 11(1):3–25

    Article  CAS  PubMed  Google Scholar 

  23. Warburton DE, Gledhill N, Quinney A (2001) Musculoskeletal fitness and health. Can J Appl Physiol 26(2):217–237

    Article  CAS  PubMed  Google Scholar 

  24. Blair SN et al (1996) Influences of cardiorespiratory fitness and other precursors on cardiovascular disease and all-cause mortality in men and women. JAMA 276(3):205–210

    Article  CAS  PubMed  Google Scholar 

  25. FitzGerald SJ, Barlow CE, Kampert JB, Morrow JR, Jackson AW, Blair SN (2004) Muscular fitness and all-cause mortality: prospective observations. J Phys Act Health 1(1):7–18

    Article  Google Scholar 

  26. Vainshelboim B, Lima RM, Myers J (2019) Cardiorespiratory fitness and cancer in women: a prospective pilot study. J Sport Health Sci 8(5):457–462

    Article  PubMed  PubMed Central  Google Scholar 

  27. Celis-Morales CA et al (2018) Associations of grip strength with cardiovascular, respiratory, and cancer outcomes and all cause mortality: prospective cohort study of half a million UK Biobank participants. BMJ 361:k1651

    Article  PubMed  PubMed Central  Google Scholar 

  28. Farrell SW, Cheng YJ, Blair SN (2004) Prevalence of the metabolic syndrome across cardiorespiratory fitness levels in women. Obes Res 12(5):824–830

    Article  PubMed  Google Scholar 

  29. Wijndaele K et al (2007) Muscular strength, aerobic fitness, and metabolic syndrome risk in Flemish adults. Med Sci Sports Exerc 39(2):233–240

    Article  PubMed  Google Scholar 

  30. Sui X et al (2008) A prospective study of cardiorespiratory fitness and risk of type 2 diabetes in women. Diabetes Care 31(3):550–555

    Article  PubMed  Google Scholar 

  31. Lee MR et al (2018) Association between muscle strength and type 2 diabetes mellitus in adults in Korea: Data from the Korea national health and nutrition examination survey (KNHANES) VI. Medicine (Baltimore) 97(23):e10984

    Article  PubMed  Google Scholar 

  32. Rickenlund A et al (2003) Hyperandrogenicity is an alternative mechanism underlying oligomenorrhea or amenorrhea in female athletes and may improve physical performance. Fertil Steril 79(4):947–955

    Article  PubMed  Google Scholar 

  33. Kogure GS et al (2015) Women with polycystic ovary syndrome have greater muscle strength irrespective of body composition. Gynecol Endocrinol 31(3):237–242

    Article  PubMed  Google Scholar 

  34. CaliskanGuzelce E et al (2019) Is muscle mechanical function altered in polycystic ovary syndrome? Arch Gynecol Obstet 300(3):771–776

    Article  CAS  Google Scholar 

  35. Thomson RL et al (2009) Comparison of aerobic exercise capacity and muscle strength in overweight women with and without polycystic ovary syndrome. BJOG 116(9):1242–1250

    Article  CAS  PubMed  Google Scholar 

  36. Cosar E et al (2008) Resting metabolic rate and exercise capacity in women with polycystic ovary syndrome. Int J Gynaecol Obstet 101(1):31–34

    Article  PubMed  Google Scholar 

  37. Orio F Jr et al (2006) Cardiopulmonary impairment in young women with polycystic ovary syndrome. J Clin Endocrinol Metab 91(8):2967–2971

    Article  CAS  PubMed  Google Scholar 

  38. Giallauria F et al (2008) Abnormal heart rate recovery after maximal cardiopulmonary exercise stress testing in young overweight women with polycystic ovary syndrome. Clin Endocrinol (Oxf) 68(1):88–93

    Article  PubMed  Google Scholar 

  39. Bacchi E et al (2015) Serum testosterone predicts cardiorespiratory fitness impairment in normal-weight women with polycystic ovary syndrome. Clin Endocrinol (Oxf) 83(6):895–901

    Article  CAS  PubMed  Google Scholar 

  40. Moher D et al (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med 6(7):e1000097

    Article  PubMed  PubMed Central  Google Scholar 

  41. Holte J et al (1996) Elevated ambulatory day-time blood pressure in women with polycystic ovary syndrome: a sign of a pre-hypertensive state? Hum Reprod 11(1):23–28

    Article  CAS  PubMed  Google Scholar 

  42. Escobar-Morreale HF (2018) Polycystic ovary syndrome: definition, aetiology, diagnosis and treatment. Nat Rev Endocrinol 14(5):270–284

    Article  PubMed  Google Scholar 

  43. Warren GL et al (2010) Effect of caffeine ingestion on muscular strength and endurance: a meta-analysis. Med Sci Sports Exerc 42(7):1375–1387

    Article  CAS  PubMed  Google Scholar 

  44. Centers for Disease Control and Prevention (2020) Defining adult overweight and obesity. https://www.cdc.gov/obesity/adult/defining.html. Accessed 20 Jan 2021

  45. Aromataris E, Munn Z (eds) (2020) JBI manual for evidence synthesis. https://synthesismanual.jbi.global. Accessed 20 Jan 2021

  46. Moola S, Munn Z, Tufanaru C, Aromataris E, Sears K, Sfetcu R, Currie M, Qureshi R, Mattis P, Lisy K, Mu P-F (2020) Chapter 7: systematic reviews of etiology and risk. In: Aromataris E, Munn Z (eds) JBI manual for evidence synthesis

  47. Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, Welch VA (eds) (2021) Cochrane handbook for systematic reviews of interventions version 6.2 (updated February 2021). Cochrane

  48. Wan X et al (2014) Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range. BMC Med Res Methodol 14:135

    Article  PubMed  PubMed Central  Google Scholar 

  49. Kazemi M et al (2021) Obesity, but not hyperandrogenism or insulin resistance, predicts skeletal muscle mass in reproductive-aged women with polycystic ovary syndrome: a systematic review and meta-analysis of 45 observational studies. Obes Rev 22(8):e13255

    Article  CAS  PubMed  Google Scholar 

  50. Hagstrom AD et al (2020) The effect of resistance training in women on dynamic strength and muscular hypertrophy: a systematic review with meta-analysis. Sports Med 50(6):1075–1093

    Article  PubMed  Google Scholar 

  51. Viana RB et al (2021) The effects of exergames on muscle strength: a systematic review and meta-analysis. Scand J Med Sci Sports 31(8):1592–1611

    Article  PubMed  Google Scholar 

  52. Lee J (2021) The effects of resistance training on muscular strength and hypertrophy in elderly cancer patients: a systematic review and meta-analysis. J Sport Health Sci

  53. Andersen H (2014) Chapter 7—motor neuropathy. Diabetes and the nervous system. In: Douglas RAM, Zochodne W (eds) Handbook of clinical neurology, vol 126. Elsevier, Amsterdam

    Google Scholar 

  54. Sterne JA et al (2011) Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials. BMJ 343:d4002

    Article  PubMed  Google Scholar 

  55. Orio F Jr et al (2007) Impaired cardiopulmonary parameters in young women with polycystic ovary syndrome. Clin Endocrinol (Oxf) 66(1):152–153

    Article  PubMed  Google Scholar 

  56. Baioccato V, Quinto G, Rovai S, Foccardi G, Conte F, Neunhaeuserer D, Gasperetti A, Battista F, Bullo V, Gobbo S, Mioni R, Bergamin M, Ermolao A (2019) Strength and functional capacity in women with polycystic ovary syndrome. In: 24th annual congress of the European College of Sport Science, book of abstracts, pp 436–436

  57. Harrison CL et al (2012) The impact of intensified exercise training on insulin resistance and fitness in overweight and obese women with and without polycystic ovary syndrome. Clin Endocrinol (Oxf) 76(3):351–357

    Article  CAS  PubMed  Google Scholar 

  58. Rissanen AP et al (2016) Altered cardiorespiratory response to exercise in overweight and obese women with polycystic ovary syndrome. Physiol Rep 4(4):e12719

    Article  PubMed  PubMed Central  Google Scholar 

  59. Gupta NASJ (2019) Effect of polycystic ovarian syndrome on exercise capacity. RFP J Hosp Admin 3(2):57–62

    Google Scholar 

  60. Ladson G et al (2011) Racial influence on the polycystic ovary syndrome phenotype: a black and white case-control study. Fertil Steril 96(1):224-229 e2

    Article  PubMed  PubMed Central  Google Scholar 

  61. Dogan H, Demir Caltekin M (2021) Does polycystic ovary syndrome with phenotype D affect the cardiovascular endurance, core endurance, body awareness, and the quality of life? A prospective, controlled study. Turk J Obstet Gynecol 18(3):203–211

    Article  PubMed  PubMed Central  Google Scholar 

  62. Lionett S et al (2021) Absent exercise-induced improvements in fat oxidation in women with polycystic ovary syndrome after high-intensity interval training. Front Physiol 12:649794

    Article  PubMed  PubMed Central  Google Scholar 

  63. Woodward A (2016) The effects of a structured 8-week aerobic exercise intervention on antiMullerian hormone levels and oxidised LDL-cholesterol in the polycystic ovarian syndrome. In: Department of Sport, Health and Exercise Science. 2016, The University of Hull, p 68

  64. Kadys A (2017) Metabolic and hormonal changes comparison and link with skeletal muscle function in women with polycystic ovary syndrome. In: Clinic of endocrinology. 2017, Lithuanian University of Health Sciences, p 34

  65. Soyupek F et al (2008) Evaluation of hand functions in women with polycystic ovary syndrome. Gynecol Endocrinol 24(10):571–575

    Article  PubMed  Google Scholar 

  66. Kogure GS et al (2020) Physical performance regarding handgrip strength in women with polycystic ovary syndrome. Rev Bras Ginecol Obstet 42(12):811–819

    Article  PubMed  PubMed Central  Google Scholar 

  67. Rover C, Knapp G, Friede T (2015) Hartung-Knapp-Sidik-Jonkman approach and its modification for random-effects meta-analysis with few studies. BMC Med Res Methodol 15:99

    Article  PubMed  PubMed Central  Google Scholar 

  68. Lenarcik A, Bidzinska-Speichert B (2010) Cardiopulmonary functional capacity and the role of exercise in improving maximal oxygen consumption in women with PCOS. Endokrynol Pol 61(2):207–209

    PubMed  Google Scholar 

  69. Dona S, Bacchi E, Moghetti P (2017) Is cardiorespiratory fitness impaired in PCOS women? A review of the literature. J Endocrinol Invest 40(5):463–469

    Article  CAS  PubMed  Google Scholar 

  70. Baron AD (1994) Hemodynamic actions of insulin. Am J Physiol 267(2 Pt 1):E187-202

    CAS  PubMed  Google Scholar 

  71. Clerk LH et al (2006) Obesity blunts insulin-mediated microvascular recruitment in human forearm muscle. Diabetes 55(5):1436–1442

    Article  CAS  PubMed  Google Scholar 

  72. Laakso M et al (1990) Decreased effect of insulin to stimulate skeletal muscle blood flow in obese man. A novel mechanism for insulin resistance. J Clin Invest 85(6):1844–1852

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  73. Petersen MC, Shulman GI (2018) Mechanisms of insulin action and insulin resistance. Physiol Rev 98(4):2133–2223

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  74. Morino K et al (2005) Reduced mitochondrial density and increased IRS-1 serine phosphorylation in muscle of insulin-resistant offspring of type 2 diabetic parents. J Clin Investig 115(12):3587–3593

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  75. Befroy DE et al (2007) Impaired mitochondrial substrate oxidation in muscle of insulin-resistant offspring of type 2 diabetic patients. Diabetes 56(5):1376–1381

    Article  CAS  PubMed  Google Scholar 

  76. Dunaif A et al (2001) Defects in insulin receptor signaling in vivo in the polycystic ovary syndrome (PCOS). Am J Physiol Endocrinol Metab 281(2):E392–E399

    Article  CAS  PubMed  Google Scholar 

  77. Malamouli M et al (2022) The mitochondrial profile in women with polycystic ovary syndrome: impact of exercise. J Mol Endocrinol 68(3):R11–R23

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  78. Zhu JL et al (2019) Sex hormone-binding globulin and polycystic ovary syndrome. Clin Chim Acta 499:142–148

    Article  CAS  PubMed  Google Scholar 

  79. Handelsman DJ, Hirschberg AL, Bermon S (2018) Circulating testosterone as the hormonal basis of sex differences in athletic performance. Endocr Rev 39(5):803–829

    Article  PubMed  PubMed Central  Google Scholar 

  80. Escobar-Morreale HF, San Millan JL (2007) Abdominal adiposity and the polycystic ovary syndrome. Trends Endocrinol Metab 18(7):266–272

    Article  CAS  PubMed  Google Scholar 

  81. Kazemi M et al (2022) Comparison of dietary and physical activity behaviors in women with and without polycystic ovary syndrome: a systematic review and meta-analysis of 39 471 women. Hum Reprod Update

  82. Gonzalez F et al (2006) Reactive oxygen species-induced oxidative stress in the development of insulin resistance and hyperandrogenism in polycystic ovary syndrome. J Clin Endocrinol Metab 91(1):336–340

    Article  CAS  PubMed  Google Scholar 

  83. Hulens M et al (2001) Exercise capacity in lean versus obese women. Scand J Med Sci Sports 11(5):305–309

    Article  CAS  PubMed  Google Scholar 

  84. Hung TH et al (2014) Examining the relationship between cardiorespiratory fitness and body weight status: empirical evidence from a population-based survey of adults in Taiwan. Sci World J 2014:463736

    Article  Google Scholar 

  85. Karelis AD et al (2007) Association of insulin sensitivity and muscle strength in overweight and obese sedentary postmenopausal women. Appl Physiol Nutr Metab 32(2):297–301

    Article  CAS  PubMed  Google Scholar 

  86. De Rekeneire N et al (2003) Diabetes is associated with subclinical functional limitation in nondisabled older individuals: the health, aging, and body composition study. Diabetes Care 26(12):3257–3263

    Article  PubMed  Google Scholar 

  87. Lad UP et al (2013) A study on the correlation between the body mass index (BMI), the body fat percentage, the handgrip strength and the handgrip endurance in underweight, normal weight and overweight adolescents. J Clin Diagn Res 7(1):51–54

    PubMed  Google Scholar 

  88. Wu CH et al (2020) Hypertension risk in young women with polycystic ovary syndrome: a nationwide population-based cohort study. Front Med (Lausanne) 7:574651

    Article  PubMed  Google Scholar 

  89. Kostić R, Pantelić S, Uzunović S, Djuraskovic R (2011) A comparative analysis of the indicators of the functional fitness of the elderly. Facta Univ Ser Phys Educ Sport 9(2):161–171

    Google Scholar 

  90. Keller K, Engelhardt M (2013) Strength and muscle mass loss with aging process. Age and strength loss. Muscles Ligam Tendons J 3(4):346–350

    Article  Google Scholar 

  91. World Athletics (2019) Eligibility regulations for the female classification

  92. Bermon S et al (2015) Women with hyperandrogenism in elite sports: scientific and ethical rationales for regulating. J Clin Endocrinol Metab 100(3):828–830

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

The authors would like to acknowledge M.M. Leyne for her contributions to the development of this publication by assisting with the screening process.

Funding

The authors would like to acknowledge the following funding sources: The Fonds de recherche Santé (FRQS), the Fondation des maladies du cœur et de l’AVC du Québec (FMCQ), and the Canadian Institutes of Health Research (CIHR). C.W.U. holds the FRQS Établissement de jeunes chercheurs (Junior 1) from the FRQS in partnership with the FMCQ. D.C. was funded by the CIHR through the Frederick Banting and Charles Best Canada Graduate Scholarship-Master’s award. J.C.G. holds the FRQS Établissement de jeunes chercheurs (Junior 1) from the FRQS.

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This study constitutes the master’s thesis of D.C. The conception and design of the study was primarily performed by D.C. with assistance from D.E.B. as well as J.C.G. and C.W.U. The literature search was performed by D.C., the screening and quality assessment process was performed by D.C. and D.E.B. with assistance from M.M.L.; D.C. performed all data analyses. The original draft of the manuscript was written by D.C. and all authors contributed to the subsequent editing and reviewing of the manuscript. D.C. was formally supervised by C.W.U. and informally supervised by J.C.G.

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Correspondence to Charlotte W. Usselman.

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Cirone, D., Berbrier, D.E., Gibbs, J.C. et al. Health-related physical fitness in women with polycystic ovary syndrome versus controls: a systematic review and meta-analysis. Arch Gynecol Obstet 309, 17–36 (2024). https://doi.org/10.1007/s00404-023-07004-w

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