Literature DB >> 9661084

Urinary ovarian and gonadotropin hormone levels in premenopausal women with low bone mass.

M Sowers1, J F Randolph, M Crutchfield, M L Jannausch, B Shapiro, B Zhang, M La Pietra.   

Abstract

We hypothesized that lower ovarian and gonadotropin hormone concentrations would be associated with lower levels of peak bone mineral density (BMD) in apparently normally menstruating women who did not exercise intensively and did not report anorexia or bulimia. This hypothesis was evaluated using a case-with-control study design (n = 65) which was nested within a population-based longitudinal study of peak bone mass (Michigan Bone Health Study) with annual assessment in women aged 25-45 years (n = 582). Cases were 31 premenopausal women with BMD of the lumbar spine, femoral neck, and total body less than the 10th percentile of the distribution, where controls were 34 premenopausal women with BMD between the 50th and 75th percentile. BMD was measured by dual-energy X-ray absorptiometry. In addition to their annual measurement, these 65 participants collected first-voided morning urine specimens daily through two consecutive menstrual cycles. The urine from alternating days of this collection was analyzed for estrone-3-glucuronide (E1G), pregnanediol glucuronide (PdG), testosterone, and follicle-stimulating hormone by radioimmunoassay and these values adjusted for daily creatinine excretion levels. Additionally, analyses of daily urine specimens for luteinizing hormone (uLH) was undertaken to better characterize the possible uLH surge. Cases had significantly lower amounts of E1G (p = 0.009) and PdG (p = 0.002) than did controls, whether amounts were characterized by a mean value, the highest value, or the area under the curve, and after statistically controlling for body size. Further, when B-splines were used to fit lines to the E1G and PdG data across the menstrual cycle, the 95% confidence intervals (CIs) about the line for the controls consistently excluded and excluded and exceeded the 95% confidence bands for the cases in the time frame associated with the luteal phase in ovulatory cycles. Likewise, 95% CIs for the LH surge in controls exceeded the fitted line for cases around the time associates with the LH surge. The cases and controls were not different according to dietary intake (energy, protein, calcium), family history of osteoporosis, reproductive characteristics (parity, age at menarche, age of first pregnancy), follicular phase serum hormone levels, calciotropic hormone levels, or by evidence of perimenopause. We conclude that these healthy, menstruating women with BMD at the lowest 10th percentile from a population-based study had significantly lower urinary sex steroid hormone levels during the luteal phase of menstrual cycles as compared with hormone levels in premenopausal women with BMD between the 50th and 75th percentile of the same population-based study, even after considering the role of body size. These data suggest that subclinical decreases in circulating gonadal steroids may impair the attainment and/or maintenance of bone mass in otherwise reproductively normal women.

Entities:  

Mesh:

Substances:

Year:  1998        PMID: 9661084     DOI: 10.1359/jbmr.1998.13.7.1191

Source DB:  PubMed          Journal:  J Bone Miner Res        ISSN: 0884-0431            Impact factor:   6.741


  14 in total

1.  Assessment of urinary total testosterone production by a highly sensitive time-resolved fluorescence immunoassay.

Authors:  Shihua Bao; Yifeng Peng; Shile Sheng; Qide Lin
Journal:  J Clin Lab Anal       Date:  2008       Impact factor: 2.352

Review 2.  Premenopausal women and low bone density.

Authors:  Aliya Khan
Journal:  Can Fam Physician       Date:  2006-06       Impact factor: 3.275

3.  Actigraphy-defined measures of sleep and movement across the menstrual cycle in midlife menstruating women: Study of Women's Health Across the Nation Sleep Study.

Authors:  Huiyong Zheng; Siobán D Harlow; Howard M Kravitz; Joyce Bromberger; Daniel J Buysse; Karen A Matthews; Ellen B Gold; Jane F Owens; Martica Hall
Journal:  Menopause       Date:  2015-01       Impact factor: 2.953

4.  Menstrual cycle lengths and bone mineral density: a cross-sectional, population-based study in rural Chinese women ages 30-49 years.

Authors:  F Ouyang; X Wang; L Arguelles; L L Rosul; S A Venners; C Chen; Y-H Hsu; H Terwedow; D Wu; G Tang; J Yang; H Xing; T Zang; B Wang; X Xu
Journal:  Osteoporos Int       Date:  2006-09-21       Impact factor: 4.507

5.  Semiparametric estimation of covariance matrices for longitudinal data.

Authors:  Jianqing Fan; Yichao Wu
Journal:  J Am Stat Assoc       Date:  2008-12-01       Impact factor: 5.033

6.  Progesterone and bone: actions promoting bone health in women.

Authors:  Vanadin Seifert-Klauss; Jerilynn C Prior
Journal:  J Osteoporos       Date:  2010-10-31

7.  Vasomotor symptoms in infertile premenopausal women: a hitherto unappreciated risk for low bone mineral density.

Authors:  Lubna Pal; John Norian; Gohar Zeitlian; Kris Bevilacqua; Ruth Freeman; Nanette Santoro
Journal:  Fertil Steril       Date:  2008-02-20       Impact factor: 7.329

8.  Fragility fractures and bone mineral density in HIV positive women: a case-control population-based study.

Authors:  J Prior; D Burdge; E Maan; R Milner; C Hankins; M Klein; S Walmsley
Journal:  Osteoporos Int       Date:  2007-07-31       Impact factor: 4.507

9.  Bayesian inference in semiparametric mixed models for longitudinal data.

Authors:  Yisheng Li; Xihong Lin; Peter Müller
Journal:  Biometrics       Date:  2009-05-07       Impact factor: 2.571

10.  Idiopathic osteoporosis in premenopausal women.

Authors:  Mishaela R Rubin; Debra H Schussheim; Carolina A M Kulak; Etah S Kurland; Clifford J Rosen; John P Bilezikian; Elizabeth Shane
Journal:  Osteoporos Int       Date:  2004-08-05       Impact factor: 4.507

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.