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Joëlle Darwiche Anne Milek Jean-Philippe Antonietti Yvan Vial 《Women and birth : journal of the Australian College of Midwives》2019,32(2):e264-e271
Background
Pregnancy after infertility is a challenging experience. The first-trimester screening test may add stress. Partner support reduces psychological distress in pregnant women after spontaneous conception. No data are available for women who conceive via assisted reproductive technology.Aim
To assess whether there was a difference between couples who underwent assisted reproductive technology and couples who conceived spontaneously in the support they felt they provided to their partner and whether their perception of support received from their partner reduced their distress.Methods
This longitudinal prospective study included 52 women (spontaneous conception) and 53 women (assisted reproductive technology), as well as their partners. Participants completed the state scale of the State-Trait Anxiety Inventory, the Edinburgh Depression Scale, and two partner-support subscales of the Dyadic Coping Inventory: before prenatal testing (gestational age 12 weeks), immediately after receiving the results (gestational age of approximately 14 weeks), and once all the prenatal screenings had been completed (gestational age 22 weeks).Findings
Women who underwent assisted reproductive technology felt less able to help their partner cope with stress and felt their partner was less able to help them cope with stress than women with spontaneous pregnancy. This difference was not observed in men. Higher perceived partner support lowered the anxiety and depression of couples who conceived spontaneously, but did not benefit couples who followed fertility treatment.Conclusion
These results add to our knowledge of the emotional state of women and their partners during pregnancy after infertility. This knowledge may allow prenatal care providers to offer specialized counselling to women and their partners in the transition from infertility to parenthood. 相似文献2.
We propose a new approach to the selection of partially linear models based on the conditional expected prediction square loss function, which is estimated using the bootstrap. Because of the different speeds of convergence of the linear and the nonlinear parts, a key idea is to select each part separately. In the first step, we select the nonlinear components using an ' m -out-of- n ' residual bootstrap that ensures good properties for the nonparametric bootstrap estimator. The second step selects the linear components from the remaining explanatory variables, and the non-zero parameters are selected based on a two-level residual bootstrap. We show that the model selection procedure is consistent under some conditions, and our simulations suggest that it selects the true model most often than the other selection procedures considered. 相似文献
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This note complements the study of Burke, Carillo, and Vakharia ( 2009 hereafter “BCV”) which analyzes a class of single‐product multisourcing problems under stochastic demand and random yields. The purpose is twofold. First, we prove that the objective function used by these authors is only a lower bound for the expected profit for which we provide the correct expression. Second, we show on some of the numerical instances provided in BCV's study that the structure and the performance of the BCV ordering policy may be substantially different from the optimal ordering policy. We conclude by giving general qualitative insights characterizing suboptimality of the BCV solution. 相似文献
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