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Ovarian age assessment is an important indicator to evaluate the ovarian reserve function and reproductive potential of women. At present, the application of ovarian age prediction model in China needs further improvement and optimization to make it more suitable for the actual situation of women in China. In this study, we collected subjects and their data in three ways: firstly, we collected clinical data from a number of women go to local hospital, including healthy women and women with DOR or PCOS; secondly, we obtained data by recruited healthy women through CRO companies for a fee; thirdly, we collected data from a number of healthy women using WeChat applet. Using the data collected by CRO company and WeChat applet, we applied the generalized linear model to optimize the ovarian age prediction model. The optimized formula is: OvAge = exp (3.5254–0.0001*PRL-0.0231*AMH), where P = 0.8195 for PRL and P = 0.0003 for AMH. Applying the formula to the hospital population data set for testing, it showed that the predicted ovarian age in the healthy women was comparable to their actual age, with a root mean squared error (RMSE) = 5.6324. The prediction accuracy was high. These data suggest that our modification of the ovarian age prediction model is feasible and that the formula is currently a more appropriate model for ovarian age assessment in healthy Chinese women. This study explored a new way to collect clinical data, namely, an online ovarian age calculator developed based on a WeChat applet, which can collect data from a large number of subjects in a short period of time and is more economical, efficient, and convenient. In addition, this study introduced real data to optimize the model, which could provide insights for model localization and improvement. [ABSTRACT FROM AUTHOR]

We aimed to illustrate ambulatory blood pressure monitoring parameters responses to low sodium intake and their differences between salt-sensitive and non-salt-sensitive individuals. A total of 186 participants were included in this analysis. Twenty-four hour, day-time and night-time blood pressure (BP) and BP load decreased during low sodium intervention, especially in salt-sensitive (SS) group. After multivariable adjustment, 24-h systolic BP, diastolic BP, mean arterial pressure and BP load responses to low sodium intervention of SS individuals were more pronounced than those of non–salt-sensitive individuals. Thus, reducing salt intake is potentially needed for the prevention of hypertension, especially in SS individuals. [ABSTRACT FROM AUTHOR]

Due to its important geographic location and unique environment, the Gansu and Qinghai region in China has been witnessing the emergence and development of Chinese civilization. This previously neglected region has recently been attracting people's attention. Existing studies have been mainly aiming to relate the spatiotemporal distributions of settlements to environmental changes. However, they generally fail to consider the evolution of social organizations and its role in impacting the spatiotemporal variations of prehistoric settlements. In this paper, we analyzed the spatiotemporal distribution and rank-size of prehistoric settlements in the Gansu-Qinghai region based on GIS analytical methods and reconstructed the process of cultural inheritance and social evolution. The examined chronological periods were demonstrated to be concomitant with different settlement development patterns, and most settlements in an older period were abandoned in the subsequently younger period, indicating poor inheritance. The occurrence of a three-tier regional settlement system during the late Yangshao–Majiayao period indicates fundamental changes in social organization, which is possibly related to the rise of a chiefdom-level society. Such a regional social stratification was intensified during the Qijia period, when a four-tier settlement system emerged. However, the complexity of the settlement system got weakened during the Bronze Age, as is indicated by the lowered hierarchy of the settlement system. The drying and cooling climatic event rendered nomadism the prevalent subsistence among the humans in the Gansu and Qinghai region who used to survive by participating in agricultural activities. • Use Gis to analyse the settlement morophology. • Use the rank-size to analyse the settlement system. • Development of trajectories settlement system. [ABSTRACT FROM AUTHOR]