Diagnostic value of anthropometric characteristics of obesity in women during the menopause transition


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Abstract

Objective: To investigate the diagnostic performance of body mass index (BMI) to identify excess adipose tissue (AT) and compare the diagnostic value of anthropometric characteristics in detecting visceral obesity in women during the menopause transition (MT). Materials and methods: A total of 125 women (mean age 47.0 (2.7) years) undergoing the MT without obesity (BMI<30 kg/m²) participated in the study. Clinical evaluation included hormonal and metabolic profile, body composition measured by dual-energy X-ray absorptiometry (DEXA), and anthropometric measurements. Results: 35% of women with normal BMI and waist circumference (WC) <80 cm had excess AT associated with twice higher prevalence of dyslipidemia and insulin resistance. BMI≥25 kg/m² had a sensitivity of 59.6%, a specificity of 93.7%, and positive (PPV) and negative (NPV) predictive values of 94.4 and 56.6% in detecting excess AT. The ROC analysis determined an optimal threshold of BMI>22.5 kg/m² with a sensitivity of 92.9%, specificity of 68.7%, PPV 84.1%, and NPV 84.6%. ROC analysis of all anthropometric indices showed diagnostic significance (p<0.001) for detecting visceral obesity; WC had the highest AUC of 0.950 [95% CI 0.875-0.987]. Conclusion: In women undergoing the MT, it is reasonable to use more accurate methods of assessing obesity, such as the DEXA. A BMI≥25 kg/m² is not sufficiently informative to detect excess AT in women during MT. The optimal threshold for identifying women with excessive AT during MT is BMI>22.5 kg/m². Among anthropometric indices, WC has the highest diagnostic accuracy for detecting visceral obesity

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About the authors

Svetlana V. Yureneva

V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology Ministry of Health of Russia

Email: syureneva@gmail.com
Dr. Med. Sci., Professor at the Department of Obstetrics and Gynecology of the Department of Vocational Education, Leading Researcher at the Department of Gynecologic Endocrinology

Veronika I. Komedina

V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology Ministry of Health of Russia

Email: komedina.veronika@gmail.com
PhD. Student at the Department of Gynecologic Endocrinology

Sergey Yu. Kuznetsov

V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology Ministry of Health of Russia

Email: kuznetsov.s@list.ru
Ph.D., Radiologist, Obstetrician-Gynecologist at the Department of Gynecologic Endocrinology

References

  1. Slopien R., Wender-Ozegowska E., Rogowicz-Frontczak A., Meczekalski B., Zozulinska-Ziolkiewicz D., Jaremek J.D. et al. Menopause and diabetes: EMAS clinical guide. Maturitas. 2018; 117: 6-10. https://dx.doi.org/10.1016/j.maturitas.2018.08.009.
  2. El Khoudary S.R., Aggarwal B., Beckie T.M., Hodis H.N., Johnson A.E., Langer R.D. et al. Menopause Transition and Cardiovascular Disease Risk: Implications for Timing of Early Prevention: A Scientific Statement from the American Heart Association. Circulation. 2020: 506-32. https://dx.doi.org/10.1161/CIR.0000000000000912.
  3. Kase N.G., Gretz Friedman E., Brodman M., Kang C., Gallagher E.J., LeRoith D. The midlife transition and the risk of cardiovascular disease and cancer Part I: magnitude and mechanisms. American Journal of Obstetrics and Gynecology 2020; 223: 820-33. https://dx.doi.org/10.1016/j.ajog.2020.05.051.
  4. Greendale G.A., Sternfeld B., Huang M.H., Han W., Karvonen-Gutierrez C., Ruppert K. et al. Changes in body composition and weight during the menopause transition. JCI Insight. 2019; 4. https://dx.doi.org/10.1172/jci.insight.124865.
  5. Karvonen-Gutierrez C., Kim C. Association of Mid-Life Changes in Body Size, Body Composition and Obesity Status with the Menopausal Transition. Healthcare. 2016; 4: 42. https://dx.doi.org/10.3390/healthcare4030042.
  6. Юренева С.В., Комедина В.И., Кузнецов С.Ю. Прибавка массы тела у женщин в перименопаузе: методы оценки композиционного состава тела и тактика ведения. Акушерство и гинекология. 2020; 2: 56-61. https://dx.doi.org/10.18565/aig.2020.2.56-61.
  7. Leeners B., Geary N., Tobler P.N., Asarian L. Ovarian hormones and obesity. Human Reproduction Update 2017; 23: 300-21. https://dx.doi.org/10.1093/humupd/dmw045.
  8. Correa M.M., Thume E., de Oliveira E.R.A., Tomasi E. Performance of the waist-to-height ratio in identifying obesity and predicting non-communicable diseases in the elderly population: A systematic literature review. Archives of Gerontology and Geriatrics. 2016; 65: 174-82. https://dx.doi.org/10.1016/j.archger.2016.03.021.
  9. Zhao L., Huang G., Xia F., Li Q., Han B., Chen Y. et al. Neck circumference as an independent indicator of visceral obesity in a Chinese population. Lipids in Health and Disease. 2018; 17: 85. https://dx.doi.org/10.1186/s12944-018-0739-z.
  10. Swainson M.G., Batterham A.M., Tsakirides C., Rutherford Z.H., Hind K. Prediction of whole-body fat percentage and visceral adipose tissue mass from five anthropometric variables. PLoS One. 2017; 12. https://dx.doi.org/10.1371/journal.pone.0177175.
  11. Zhang Y., Wu H., Xu Y., Qin H., Lan C., Wang W. The correlation between neck circumference and risk factors in patients with hypertension: What matters. Medicine. 2020; 99: e22998. https://dx.doi.org/10.1097/ MD.0000000000022998.
  12. Messina C., Albano D., Gitto S., Tofanelli L., Bazzocchi A., Ulivieri F.M. et al. Body composition with dual energy X-ray absorptiometry: From basics to new tools. Quantitative Imaging in Medicine and Surgery. 2020; 10: 1687-98. https://dx.doi.org/10.21037/QIMS.2020.03.02.
  13. Dickey R.A., Bartuska D., Bray G.W., Callaway C.W., Davidson E.T., Feld S. AACE/ACE position statement on the prevention, diagnosis, and treatment of obesity (1998 Revision). Endocr Pract. 1998 ;4: 297-350.
  14. Kelly T.L., Wilson K.E., Heymsfield S.B. Dual energy X-ray absorptiometry body composition reference values from NHANES. PLoS One. 2009; 4. https://dx.doi.org/10.1371/journal.pone.0007038.
  15. Petak S., Barbu C.G., Yu E.W., Fielding R., Mulligan K., Sabowitz B. et al. The Official Positions of the International Society for Clinical Densitometry: Body Composition Analysis Reporting. Journal of Clinical Densitometry 2013; 16: 508-19. https://dx.doi.org/10.1016/j.jocd.2013.08.018.
  16. Tang Q., Li X., Song P., Xu L. Optimal cut-off values for the homeostasis model assessment of insulin resistance (HOMA-IR) and pre-diabetes screening: Developments in research and prospects for the future. Drug Discoveries & Therapeutics. 2015; 9: 380-5. https://dx.doi.org/10.5582/ddt.2015.01207.
  17. Thorand B., Zierer A., Baumert J., Meisinger C., Herder C., Koenig W. Associations between leptin and the leptin/adiponectin ratio and incident Type 2 diabetes in middle-aged men and women: Results from the MONICA/KORA Augsburg Study 1984-2002. Diabetic Medicine. 2010; 27(9): 1004-11. https://dx.doi.org/10.1111/j.1464-5491.2010.03043.x.
  18. Lee K. W., Shin D. Prospective Associations of Serum Adiponectin, Leptin, and Leptin-Adiponectin Ratio with Incidence of Metabolic Syndrome: The Korean Genome and Epidemiology Study. International Journal of Environmental Research and Public Health. 2020; 17: 3287. https://dx.doi.ois/10.3390/ijerph17093287.
  19. Batsis J.A., Mackenzie T.A., Bartels S.J., Sahakyan K.R., Somers V.K., Lopez-Jimenez F. Diagnostic accuracy of body mass index to identify obesity in older adults: NHANES 1999-2004. International Journal of Obesity. 2016; 40: 761-7. https://dx.doi.org/10.1038/ijo.2015.243.
  20. Banack H.R., Wactawski-Wende J., Hovey K.M., Stokes A. Is BMI a valid measure of obesity in postmenopausal women? Menopause. 2018; 25: 307-13. https://dx.doi.org/10.1097/GME.0000000000000989.
  21. Stegenga H., Haines A., Jones K., Wilding J. Identification, assessment, and management of overweight and obesity: summary of updated NICE guidance. BMJ. 2014; 349: g6608-g6608. https://dx.doi.org/10.1136/bmj.g6608.
  22. Дедов И.И., Шестакова М.В., Мельниченко Г.А., Мазурина Н.В., Андреева Е.Н., Бондаренко И.З., Гусова З.Р. и др. Междисциплинарные клинические рекомендации «Лечение ожирения и коморбидных заболеваний». Ожирение и метаболизм. 2021; 18: 5-99. https://dx.doi.org/10.14341/omet12714.
  23. Pinter Z., Molnar A., Szdsz A., Kiss G., Orban K., Varga C. et al. Reliability of anthropometric parameters in the prediction of the visceral fat area among adult women. Anthropologischer Anzeiger. 2013; 70: 147-64. https://dx.doi.org/10.1127/0003-5548/2012/0238.
  24. Segura-Fragoso A., Rodriguez-Padial L., Alonso-Moreno F.J., Villarin-Castro A., Rojas-Martelo G.A., Rodriguez-Roca G.C. et al. Anthropometric measurements of general and central obesity and discriminative capacity on cardiovascular risk: RICARTO study. Semergen. 2019; 45(5): 323-32. https://dx.doi.org/10.1016/j.semerg.2019.02.013.
  25. Ashwell M., Gunn P., Gibson S. Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: systematic review and meta-analysis. Obesity Reviews. 2012; 13: 275-86. https://dx.doi.org/10.1111/j.1467-789X.2011.00952.x.

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