排序方式: 共有2条查询结果,搜索用时 31 毫秒
1
1.
Bernice Asiedu Yvonne Anang Adraina Nyarko Derek Amartey Doku Brodrick Y. Amoah Sheila Santa 《The aging male》2017,20(1):17-22
Introduction: The etiology of benign prostatic hyperplasia (BPH) remains a mystery to scientists; estrogen/androgen imbalance in aged men has been implicated.Methods: Thirty (30) apparently healthy men and newly diagnosed BPH patients were recruited from the Ghana Police Hospital. Lower urinary tract syndrome (LUTS) and prostate volume were assessed via the prostate symptom score sheet (IPSS) and abdominopelvic scan, respectively. Laboratory assays for total prostate specific antigen (tPSA) and hormones [androstenedione (AED), testosterone (T), dihydrotestosterone (DHT), androstanedioladiol (3α-adiol), androstanediol (3β-diol), estrone (E1) and estradiol (E2)] were performed via ELISA techniques. Non-parametric analyses were employed. p?0.05 was considered significant.Results: AED was significantly higher in controls compared to the BPH patients. AKRIC2 (3α-diol/DHT) was significantly higher in the BPH group (p?0.001) whiles AKRIC1 (3β-diol/DHT) was significantly lower. Estradiol was significantly higher in BPH (p=?0.029). Age correlated negatively with T, while a negative correlation was observed between TIPSS and 3β-diol and AKRIC1. Also, prostate volume correlated negatively with fT.tPSA correlated positively with E2 and aromatase activity (E2/T) and negatively with fT. On multiple linear regression, DHT and 3β-diol remained independent predictors for TIPSS and fT for tPSA.Conclusion: Estrogens and androstanediols seem to play a role in BPH development. 相似文献
2.
ABSTRACTMultivariate Fay-Herriot (MFH) models become popular methods to produce reliable parameter estimates of some related multiple characteristics of interest that are commonly produced from many surveys. This article studies the application of MFH models for estimating household consumption per capita expenditure (HCPE) on food and HCPE of non-food. Both of those associated direct estimates, which are obtained from the National Socioeconomic Surveys conducted regularly by Statistics Indonesia, have a strong correlation. The effects of correlation in MFH models are evaluated by employing a simulation study. The simulation showed that the strength of correlation between variables of interest, instead of the number of domains, plays a prominent role in MFH models. The application showed that MFH models have more efficient than univariate models in terms of standard errors of regression parameter estimates. The roots of mean squared errors (RMSEs) of the estimates obtained from the empirical best linear unbiased prediction (EBLUP) estimators of MFH models are smaller than RMSEs obtained from the direct estimators. Based on MFH model, the HCPE estimates of food by districts in Central Java, Indonesia, are higher than the HCPE estimates of non-food. The average of HCPE estimates of food and non-food in Central Java, Indonesia in 2015 are IDR 383,100.6 and IDR 280,653.6, respectively. 相似文献
1