The Pregnancy Depression Scale (PDS): a screening tool for depression in pregnancy.
ABSTRACT Depression in pregnancy can be underdiagnosed as a consequence of the symptoms being misattributed to "normal pregnancy." There are currently no validated clinician-rated scales that assess for depression specifically during pregnancy. We sought to develop a brief, convenient screening tool to identify depression in pregnant women in the community setting. Prospective mood data using the 28-item Hamilton Depression Rating Scale (HDRS) were collected monthly in 196 pregnant women with a history of a major depressive disorder. These data were analyzed to delineate those HDRS items associated (elevated) with normal pregnancy vs. those indicative of a pregnant woman meeting diagnostic criteria for a major depressive episode. Endorsement of symptoms on seven items of the HDRS were highly predictive of having a major depressive episode during pregnancy. We present a well-validated, brief scale to screen pregnant women for clinical depression. Whether this study will generalize to women who do not have a history of major depression remains to be studied.
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ABSTRACT: Search Engine Marketing (SEM) is the practice of manipulating and/or paying the search engines (Google, Yahoo!, Bing, etc.) to drive traffic to websites. The SEM community has developed techniques that can channel visitors to websites; however, little work has been done to develop models able to estimate the amount of traffic generated by SEM. In this paper, we develop formulae that can be used to estimate traffic resulting from SEM campaigns that can be used by search marketing agencies for competition analysis and by web hosting providers for performance analysis and capacity planning. Our experimental results show that our models work best for targeted marketing campaigns, but the formulae presented can be generalized to broader marketing domains.Computer Standards & Interfaces 11/2012; DOI:10.1016/j.csi.2011.10.008 · 1.18 Impact Factor
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ABSTRACT: The following critical issues of liquid lithium used in tokamak conditions are considered: major physical properties of lithium, physico-chemical aspects of lithium interaction and compatibility with structural materials of fusion reactors. Lithium capillary-porous system (CPS) is considered as advanced plasma facing material for power fusion reactor and its main properties are presented. Review of plasma facing element (PFE) structures based on lithium CPS and tests results in T-11M, T-10 and FTU tokamaks are included. Brief review of projects of lithium limiter of FTU with active system for thermal stabilization and module of lithium divertor for KTM tokamak with liquid metal (Na–K) cooling system based on the lithium CPS use are presented.Fusion Engineering and Design 11/2010; 85(6):924-929. DOI:10.1016/j.fusengdes.2010.08.036 · 1.15 Impact Factor
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ABSTRACT: Pregnancy represents a unique period of time when women are at an increased risk of developing depression. Although the Beck Depression Inventory-Second Edition (BDI-II) is one of the most widely used self-report measures of depression symptomology, its psychometric properties and underlying factor structures have not been determined for antenatal women and among Latinas. The current study evaluated the latent symptom structure of the BDI-II in a community-based sample of Latina pregnant women (N = 217) identified to be at high risk for depression. Exploratory factor analyses were used to identify underlying salient individual item loadings for two- and three-factor models. Confirmatory factor analyses then examined several different indices to determine the best model fit. Examination of exploratory and confirmatory factor analyses supports a three-factor oblique structure of the BDI-II composed of Cognitive-Affective, Somatic, and Pregnancy Symptoms. The three-factor model provides clinicians with the ability to target specific constellations of depressive symptoms instead of relying on the BDI-II total score that represents the overall severity of depression in this population.Maternal and Child Health Journal 08/2013; DOI:10.1007/s10995-013-1343-5 · 2.24 Impact Factor