Abstract
Purpose
Insulin resistance (IR) is a common feature of polycystic ovary syndrome (PCOS). Body fat indices can be predictive markers of IR. This study is aimed to predict IR in Chinese women with PCOS of different body types based on body fat indices.
Methods
A total of 723 women diagnosed with PCOS according to Rotterdam criteria were recruited in this study and were further divided into two groups based on their BMI. All participants underwent physical examinations and ultrasound; and blood was collected from them on the days 3–5 of the menstrual cycle. Their BMI, waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), lipid accumulation product (LAP) index, visceral adiposity index (VAI), and the homeostasis model assessment index of insulin resistance (HOMA-IR) were calculated. The correlations between body fat indices and HOMA-IR and receiver operating characteristic (ROC) curves were evaluated.
Results
In normal weight group (BMI < 24, n = 333), VAI (best cut-off value: 1.681, area under curve (AUC) = 0.754, P < 0.01) and LAP index (best cut-off value: 18.53, AUC = 0.734, P < 0.001) were the reliable indicators of IR based on HOMA-IR ≥ 2.77, while in overweight/obese group (BMI ≥ 24, n = 390), the BMI, WC, WHtR and LAP index had a significant correlation with HOMA-IR. The representative markers to assess IR were BMI (best cut-off value: 26.43, AUC = 0.644, P = 0.001) and WHtR (best cut-off value: 0.544, AUC = 0.604, P = 0.021).
Conclusions
Body fat indices are predictive markers of IR in Chinese PCOS women, especially in those with normal weight.
Similar content being viewed by others
References
International evidence-based guideline for the assessment and management of polycystic ovary syndrome. Copyright Monash University, Melbourne Australia 2018. https://www.monash.edu/medicine/sphpm/mchri/pcos/guideline
A. Deeks, H. Teede, L. Moran, Polycystic ovary syndrome: a complex condition with psychological, reproductive and metabolic manifestations that impacts on health across the lifespan. BMC. Med. 8(1), 41 (2010)
E. Diamantikandarakis, A. Dunaif, Insulin resistance and the polycystic ovary syndrome revisited: an update on mechanisms and implications. Endocr. Rev. 33(6), 981–1030 (2012)
D. Wiltgen, I.G. Benedetto, L.S. Mastella, P.M. Spritzer, Lipid accumulation product index: a reliable marker of cardiovascular risk in polycystic ovary syndrome. Hum. Reprod. 24(7), 1726–1731 (2009)
L.N. Matos, G.V. Giorelli, C.B. Dias, Correlation of anthropometric indicators for identifying insulin sensitivity and resistance. Sao Paulo Med. J. 129(1), 30–35 (2011)
J.Y. Oh, Y.A. Sung, H.J. Lee et al. Optimal waist circumference for prediction of metabolic syndrome in young korean women with polycystic ovary syndrome. Obesity 18(3), 593–597 (2010)
F. Ramezani Tehrani, S. Minooee, F. Azizi, Comparison of various adiposity indexes in women with polycystic ovary syndrome and normo-ovulatory non-hirsute women: a population-based study. Eur. J. Endocrinol. 171(2), 199–207 (2014)
A.K.C. Roriz, L.C.S. Passos, C.C. de Oliveira et al. Evaluation of the accuracy of anthropometric clinical indicators of visceral fat in adults and elderly. PLoS ONE 9(7), E103499 (2014)
M.C. Amato, A. Magistro, G. Gambino, R. Vesco, C. Giordano, Visceral adiposity index and DHEAS are useful markers of diabetes risk in women with polycystic ovary syndrome. Eur. J. Endocrinol. 172(1), 79–88 (2015)
J.X. Prado Teixeira Nascimento, M.B. da Costa Chein, Lopes, R.M. de Sousa, Ad.S. Ferreira, P.A. Navarro, L.M. Oliveira Brito, Importance of lipid accumulation product index as a marker of CVD risk in PCOS women. Lipids Health Dis. 14, 62 (2015)
G.A. Abruzzese, G.E. Cerrrone, J.M. Gamez et al. Lipid Accumulation Product (LAP) and Visceral Adiposity Index (VAI) as markers of insulin resistance and metabolic associated disturbances in young argentine women with polycystic ovary syndrome. Horm. Metab. Res. 49(1), 23–29 (2017)
J.L. Chan, S. Kar, E. Vanky et al. Racial and ethnic differences in the prevalence of metabolic syndrome and its components of metabolic syndrome in women with polycystic ovary syndrome: a regional cross-sectional study. Am. J. Obstet. Gynecol. 2, 189.e1–189.e8 (2017)
B. Fauser, J. Chang, R. Azziz et al. Revised 2003 consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndrome (PCOS). Hum. Reprod. 19(1), 41–47 (2004)
B. Zhou, Predictive values of body mass index and waist circumference to risk factors of related diseases in Chinese adult population. Chin. J. Epidemiol. 23(1), 5–10 (2002)
S.S.C. Yen, B.B. Jaffe, R.L. Barbieri. Reproductive Endocrinology. 4th edn. (Science, Harcourt Asia, W. B. Saunders, Print, Beijing, 2001)
H.S. Kahn, The “lipid accumulation product” performs better than the body mass index for recognizing cardiovascular risk: a population-based comparison. BMC Cardiovasc. Disord. 5, 26 (2005)
M.C. Amato, C. Giordano, M. Galia et al. Visceral Adiposity Index A reliable indicator of visceral fat function associated with cardiometabolic risk. Diabetes Care 33(4), 920–922 (2010)
M. Li, R.A. McDermott, Using anthropometric indices to predict cardio-metabolic risk factors in Australian indigenous populations. Diabetes Res. Clin. Pract. 87(3), 401–406 (2010)
X. Guan, G. Sun, L. Zheng, W. Hu, W. Li, Y. Sun, Associations between metabolic risk factors and body mass index, waist circumference, waist-to-height ratio and waist-to-hip ratio in a Chinese rural population. J. Diabetes Invest. 7(4), 601–606 (2016)
P. Dou, H. Ju, J. Shang et al. Application of receiver operating characteristic curve in the assessment of the value of body mass index, waist circumference and percentage of body fat in the Diagnosis of Polycystic Ovary Syndrome in childbearing women. J. Ovarian Res. 9(1), 51 (2016)
I.I. Androulakis, E. Kandaraki, C. Christakou et al. Visceral adiposity index (VAI) is related to the severity of anovulation and other clinical features in women with polycystic ovary syndrome. Clin. Endocrinol. 81(3), 426–431 (2014)
X. Chen, R. Ni, Y. Mo, L. Li, D.Z. Yang, Appropriate BMI levels for PCOS patients in Southern China. Hum. Reprod. 25(5), 1295–1302 (2010)
J.A. Nazare, J.D. Smith, A.L. Borel et al. Ethnic influences on the relations between abdominal subcutaneous and visceral adiposity, liver fat, and cardiometabolic risk profile: the International Study of Prediction of Intra-Abdominal Adiposity and Its Relationship with Cardiometabolic Risk/Intra-Abdominal Adiposity. Am. J. Clin. Nutr. 96(4), 714–726 (2012)
T. Du, X. Yu, J. Zhang, X. Sun, Lipid accumulation product and visceral adiposity index are effective markers for identifying the metabolically obese normal-weight phenotype. Acta Diabetol. 52(5), 855–863 (2015)
Z. Huang, E.L. Yong, Ethnic differences: is there an Asian phenotype for polycystic ovarian syndrome? Best Pract. Res. Clin. Obstet. Gynaecol. 37, 46–55 (2016)
Acknowledgements
We would like to thank all participants who cooperated to data collections.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Ethical approval
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Informed consent
Informed consent was obtained from all individual participants included in the study.
Additional information
Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
These authors contributed equally: Xin Huang, Qiuyi Wang
Rights and permissions
About this article
Cite this article
Huang, X., Wang, Q., Liu, T. et al. Body fat indices as effective predictors of insulin resistance in obese/non-obese polycystic ovary syndrome women in the Southwest of China. Endocrine 65, 81–85 (2019). https://doi.org/10.1007/s12020-019-01912-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12020-019-01912-1