Prevalence of metabolic syndrome is higher among non-obese PCOS women with hyperandrogenism and menstrual irregularity in Korea

Min Ju Kim; Nam Kyoo Lim; Young Min Choi; Jin Ju Kim; Kyu Ri Hwang; Soo Jin Chae; Chan Woo Park; Doo Seok Choi; Byung Moon Kang; Byung Seok Lee; Tak Kim; Hyun Young Park

doi:10.1371/journal.pone.0099252

Prevalence of metabolic syndrome is higher among non-obese PCOS women with hyperandrogenism and menstrual irregularity in Korea

Min Ju Kim, Nam Kyoo Lim, Young Min Choi, Jin Ju Kim, Kyu Ri Hwang, Soo Jin Chae, Chan Woo Park, Doo Seok Choi, Byung Moon Kang, Byung Seok Lee, Tak Kim, Hyun Young Park

Department of Obstetrics and Gynecology

Research output: Contribution to journal › Article

16 Citations (Scopus)

Abstract

Background: Hyperandrogenism (HA) has been linked with several components of metabolic syndrome (MetS). Few studies in Asian women have evaluated the important risk factors for and prevalence of MetS according to PCOS subtype. In this study, we investigated differences in metabolic parameters and the prevalence of MetS in two major phenotypic subgroups of PCOS in Korea. Furthermore, we investigated the relationship between HA-associated parameters and MetS. Materials and Methods: This cross-sectional observational study was conducted from May 2010 to December 2011 in Korea. A total of 837 females with PCOS, aged 15-40, were recruited from Departments of Obstetrics and Gynecology at 13 hospitals. Of those, 700 subjects with either polycystic ovaries (PCO)+HA+oligomenorrhea/amenorrhea (O) or PCO+O were eligible for this study. MetS was diagnosed according to the modified National Cholesterol Education Program (NCEP) Adult Treatment Panel (ATP) III guidelines and the International Diabetes Federation (IDF) criteria. Results: MetS was more prevalent in the PCO+HA+O group (19.7%) than in the PCO+O (11.9%) group. There were statistically significant trends for an increased risk of MetS in the PCO+HA+O group compared to the PCO+O group. After adjustment for age, the odds ratio of MetS was 2.192 in non-obese subjects with PCO+HA+O compared to those with PCO+ O, whereas the risk of MetS was not different in obese patients. Multivariate logistic regression analysis showed that high free androgen index and low sex hormone-binding globulin were significantly associated with MetS in non-obese women with PCOS, with odds ratios of 4.234 (95% CI, 1.893-9.474) and 4.612 (95% CI, 1.978-10.750), respectively. However, no associations were detected between MetS and SHBG and FAI in obese PCOS subjects. Conclusions: Our results indicate that HA and its associated parameters (FAI and SHBG) are significantly associated with MetS in non-obese PCOS subjects, whereas this association was not observed in obese subjects. Copyright:

Original language	English
Article number	e99252
Journal	PloS one
Volume	9
Issue number	6
DOIs	https://doi.org/10.1371/journal.pone.0099252
Publication status	Published - 2014 Jun 5

ASJC Scopus subject areas

Biochemistry, Genetics and Molecular Biology(all)
Agricultural and Biological Sciences(all)
General

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Kim, M. J., Lim, N. K., Choi, Y. M., Kim, J. J., Hwang, K. R., Chae, S. J., Park, C. W., Choi, D. S., Kang, B. M., Lee, B. S., Kim, T., & Park, H. Y. (2014). Prevalence of metabolic syndrome is higher among non-obese PCOS women with hyperandrogenism and menstrual irregularity in Korea. PloS one, 9(6), [e99252]. https://doi.org/10.1371/journal.pone.0099252

Prevalence of metabolic syndrome is higher among non-obese PCOS women with hyperandrogenism and menstrual irregularity in Korea. / Kim, Min Ju; Lim, Nam Kyoo; Choi, Young Min; Kim, Jin Ju; Hwang, Kyu Ri; Chae, Soo Jin; Park, Chan Woo; Choi, Doo Seok; Kang, Byung Moon; Lee, Byung Seok; Kim, Tak; Park, Hyun Young.

In: PloS one, Vol. 9, No. 6, e99252, 05.06.2014.

Research output: Contribution to journal › Article

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abstract = "Background: Hyperandrogenism (HA) has been linked with several components of metabolic syndrome (MetS). Few studies in Asian women have evaluated the important risk factors for and prevalence of MetS according to PCOS subtype. In this study, we investigated differences in metabolic parameters and the prevalence of MetS in two major phenotypic subgroups of PCOS in Korea. Furthermore, we investigated the relationship between HA-associated parameters and MetS. Materials and Methods: This cross-sectional observational study was conducted from May 2010 to December 2011 in Korea. A total of 837 females with PCOS, aged 15-40, were recruited from Departments of Obstetrics and Gynecology at 13 hospitals. Of those, 700 subjects with either polycystic ovaries (PCO)+HA+oligomenorrhea/amenorrhea (O) or PCO+O were eligible for this study. MetS was diagnosed according to the modified National Cholesterol Education Program (NCEP) Adult Treatment Panel (ATP) III guidelines and the International Diabetes Federation (IDF) criteria. Results: MetS was more prevalent in the PCO+HA+O group (19.7%) than in the PCO+O (11.9%) group. There were statistically significant trends for an increased risk of MetS in the PCO+HA+O group compared to the PCO+O group. After adjustment for age, the odds ratio of MetS was 2.192 in non-obese subjects with PCO+HA+O compared to those with PCO+ O, whereas the risk of MetS was not different in obese patients. Multivariate logistic regression analysis showed that high free androgen index and low sex hormone-binding globulin were significantly associated with MetS in non-obese women with PCOS, with odds ratios of 4.234 (95% CI, 1.893-9.474) and 4.612 (95% CI, 1.978-10.750), respectively. However, no associations were detected between MetS and SHBG and FAI in obese PCOS subjects. Conclusions: Our results indicate that HA and its associated parameters (FAI and SHBG) are significantly associated with MetS in non-obese PCOS subjects, whereas this association was not observed in obese subjects. Copyright:",

author = "Kim, {Min Ju} and Lim, {Nam Kyoo} and Choi, {Young Min} and Kim, {Jin Ju} and Hwang, {Kyu Ri} and Chae, {Soo Jin} and Park, {Chan Woo} and Choi, {Doo Seok} and Kang, {Byung Moon} and Lee, {Byung Seok} and Tak Kim and Park, {Hyun Young}",

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AU - Kim, Min Ju

AU - Lim, Nam Kyoo

AU - Choi, Young Min

AU - Kim, Jin Ju

AU - Hwang, Kyu Ri

AU - Chae, Soo Jin

AU - Park, Chan Woo

AU - Choi, Doo Seok

AU - Kang, Byung Moon

AU - Lee, Byung Seok

AU - Kim, Tak

AU - Park, Hyun Young

PY - 2014/6/5

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N2 - Background: Hyperandrogenism (HA) has been linked with several components of metabolic syndrome (MetS). Few studies in Asian women have evaluated the important risk factors for and prevalence of MetS according to PCOS subtype. In this study, we investigated differences in metabolic parameters and the prevalence of MetS in two major phenotypic subgroups of PCOS in Korea. Furthermore, we investigated the relationship between HA-associated parameters and MetS. Materials and Methods: This cross-sectional observational study was conducted from May 2010 to December 2011 in Korea. A total of 837 females with PCOS, aged 15-40, were recruited from Departments of Obstetrics and Gynecology at 13 hospitals. Of those, 700 subjects with either polycystic ovaries (PCO)+HA+oligomenorrhea/amenorrhea (O) or PCO+O were eligible for this study. MetS was diagnosed according to the modified National Cholesterol Education Program (NCEP) Adult Treatment Panel (ATP) III guidelines and the International Diabetes Federation (IDF) criteria. Results: MetS was more prevalent in the PCO+HA+O group (19.7%) than in the PCO+O (11.9%) group. There were statistically significant trends for an increased risk of MetS in the PCO+HA+O group compared to the PCO+O group. After adjustment for age, the odds ratio of MetS was 2.192 in non-obese subjects with PCO+HA+O compared to those with PCO+ O, whereas the risk of MetS was not different in obese patients. Multivariate logistic regression analysis showed that high free androgen index and low sex hormone-binding globulin were significantly associated with MetS in non-obese women with PCOS, with odds ratios of 4.234 (95% CI, 1.893-9.474) and 4.612 (95% CI, 1.978-10.750), respectively. However, no associations were detected between MetS and SHBG and FAI in obese PCOS subjects. Conclusions: Our results indicate that HA and its associated parameters (FAI and SHBG) are significantly associated with MetS in non-obese PCOS subjects, whereas this association was not observed in obese subjects. Copyright:

AB - Background: Hyperandrogenism (HA) has been linked with several components of metabolic syndrome (MetS). Few studies in Asian women have evaluated the important risk factors for and prevalence of MetS according to PCOS subtype. In this study, we investigated differences in metabolic parameters and the prevalence of MetS in two major phenotypic subgroups of PCOS in Korea. Furthermore, we investigated the relationship between HA-associated parameters and MetS. Materials and Methods: This cross-sectional observational study was conducted from May 2010 to December 2011 in Korea. A total of 837 females with PCOS, aged 15-40, were recruited from Departments of Obstetrics and Gynecology at 13 hospitals. Of those, 700 subjects with either polycystic ovaries (PCO)+HA+oligomenorrhea/amenorrhea (O) or PCO+O were eligible for this study. MetS was diagnosed according to the modified National Cholesterol Education Program (NCEP) Adult Treatment Panel (ATP) III guidelines and the International Diabetes Federation (IDF) criteria. Results: MetS was more prevalent in the PCO+HA+O group (19.7%) than in the PCO+O (11.9%) group. There were statistically significant trends for an increased risk of MetS in the PCO+HA+O group compared to the PCO+O group. After adjustment for age, the odds ratio of MetS was 2.192 in non-obese subjects with PCO+HA+O compared to those with PCO+ O, whereas the risk of MetS was not different in obese patients. Multivariate logistic regression analysis showed that high free androgen index and low sex hormone-binding globulin were significantly associated with MetS in non-obese women with PCOS, with odds ratios of 4.234 (95% CI, 1.893-9.474) and 4.612 (95% CI, 1.978-10.750), respectively. However, no associations were detected between MetS and SHBG and FAI in obese PCOS subjects. Conclusions: Our results indicate that HA and its associated parameters (FAI and SHBG) are significantly associated with MetS in non-obese PCOS subjects, whereas this association was not observed in obese subjects. Copyright:

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