Trait Negative Affect Interacts With Ovarian Hormones to Predict Risk for Emotional Eating
CLINICAL PSYCHOLOGICAL SCIENCE
Authors: Mikhail, Megan E.; Keel, Pamela K.; Burt, S. Alexandra; Sisk, Cheryl L.; Neale, Michael; Boker, Steven; Klump, Kelly L.
Abstract
Ovarian hormones significantly influence dysregulated eating in females. However, most women do not develop appreciable disordered eating, which suggests that ovarian hormones may not affect all women equally. We examined whether individual differences in trait negative affect (NA) moderate ovarian hormone-dysregulated eating associations in 446 women who provided saliva samples for hormone measurements and ratings of NA and emotional eating daily for 45 consecutive days. Women were at greatest risk for emotional eating when they had high trait NA and experienced a hormonal milieu characterized by low estradiol or high progesterone. Although effects were evident in all women, the combination of high trait NA and high progesterone was particularly risky for women with a history of clinically significant binge-eating episodes. These findings provide initial evidence that affective and hormonal risk interact to promote emotional eating and that effects may be amplified in women with clinically significant binge eating.
Sensitive Determination of 17 beta-estradiol using a Magneto Sensor Based on Magnetic Molecularly Imprinted Polymer
ELECTROANALYSIS
Authors: Nunes da Silva, Daniela; Leijoto de Oliveira, Hanna; Borges, Keyller Bastos; Pereira, Arnaldo Cesar
Abstract
The analysis of 17 beta-estradiol with high sensitivity and selectivity is extremely relevant to control the impacts that this compound can cause on health and the environment. Thus, we describe the development and application of a magneto carbon paste electrode based on magnetic molecularly imprinted polymer (MCPE-MMIP) for determination of 17 beta-estradiol. The analyte adsorbed on the MMIP was immobilized on the electrode surface by magnetic capture. The morphological and structural characterization of the obtained MMIP suggests that the material was effectively synthesized. MCPE-MMIP showed an improvement in the sensitivity for 17 beta-estradiol detection when compared to electrode configurations in the absence of this material. The optimum conditions (0.10 mol L(-1)phosphate buffer pH 7.0) were reached by differential pulse adsorptive stripping voltammetry (DPAdSV), in which the method presented linearity ranged from 0.06 to 175 mu mol L(-1)with limits of detection and quantification of 0.02 and 0.06 mu mol L-1, respectively. The proposed sensor was applied effectively in the analysis of 17 beta-estradiol in river water and raw milk samples, exhibiting excellent recovery values (between 96.20 and 104 %), which were confirmed by HPLC analysis.