scholarly journals The effects of ovarian hormones and emotional eating on changes in weight preoccupation across the menstrual cycle

2014 ◽  
Vol 48 (5) ◽  
pp. 477-486 ◽  
Author(s):  
Britny A. Hildebrandt ◽  
Sarah E. Racine ◽  
Pamela K. Keel ◽  
S. Alexandra Burt ◽  
Michael Neale ◽  
...  
2013 ◽  
Vol 14 (2) ◽  
pp. 161-166 ◽  
Author(s):  
Sarah E. Racine ◽  
Pamela K. Keel ◽  
S. Alexandra Burt ◽  
Cheryl L. Sisk ◽  
Michael Neale ◽  
...  

2019 ◽  
Vol 52 (2) ◽  
pp. 195-199
Author(s):  
Natasha Fowler ◽  
Pamela K. Keel ◽  
S. Alexandra Burt ◽  
Michael Neale ◽  
Steven Boker ◽  
...  

2008 ◽  
Vol 38 (12) ◽  
pp. 1749-1757 ◽  
Author(s):  
K. L. Klump ◽  
P. K. Keel ◽  
K. M. Culbert ◽  
C. Edler

BackgroundSignificant associations between changes in ovarian hormones and binge eating are present across the menstrual cycle in women with bulimia nervosa. However, no study has examined these relationships in a non-clinical sample, despite the need for these data for designing risk-factor studies.MethodIn study 1, we modified several continuous measures of binge eating and identified those that were most sensitive to menstrual-cycle fluctuations in a non-clinical sample of 10 women who completed measures for 35 days. In study 2, we explored associations between ovarian hormones and binge-eating scores in nine women who completed these same measures for 65 days and provided daily saliva samples for assays of estradiol and progesterone concentrations.ResultsIn study 1, the Emotional Eating subscale of the Dutch Eating Behavior Questionnaire exhibited superior reliability and was most sensitive to predicted menstrual-cycle changes in binge eating (i.e. increased scores in the mid-luteal/premenstrual compared with follicular/ovulatory phases). In study 2, this scale showed predicted inverse associations with estradiol and positive associations with progesterone across the menstrual cycle that could not be accounted for by changes in negative affect.ConclusionAssociations between ovarian hormones and binge eating are robust and present in clinical and non-clinical samples. Findings support the ability to examine the role of ovarian hormones as risk factors for binge eating in large-scale prospective studies and twin studies.


Appetite ◽  
2016 ◽  
Vol 107 ◽  
pp. 106-115 ◽  
Author(s):  
Marta Campolier ◽  
Sangeetha Pariyarath Thondre ◽  
Miriam Clegg ◽  
Amir Shafat ◽  
Ali Mcintosh ◽  
...  

2013 ◽  
Vol 122 (1) ◽  
pp. 131-137 ◽  
Author(s):  
Kelly L. Klump ◽  
Pamela K. Keel ◽  
Sarah E. Racine ◽  
S. Alexandra Burt ◽  
Michael Neale ◽  
...  

Epidemiology ◽  
2002 ◽  
Vol 13 (6) ◽  
pp. 675-684 ◽  
Author(s):  
Gayle C. Windham ◽  
Eric Elkin ◽  
Laura Fenster ◽  
Kirsten Waller ◽  
Meredith Anderson ◽  
...  

2015 ◽  
Vol 17 (4) ◽  
pp. 407-421 ◽  
Author(s):  
A. H. Weinberger ◽  
P. H. Smith ◽  
S. S. Allen ◽  
K. P. Cosgrove ◽  
M. E. Saladin ◽  
...  

SLEEP ◽  
2021 ◽  
Author(s):  
Christophe Moderie ◽  
Philippe Boudreau ◽  
Ari Shechter ◽  
Paul Lesperance ◽  
Diane B Boivin

Abstract We previously found normal polysomnographic (PSG) sleep efficiency, increased slow wave sleep (SWS) and a blunted melatonin secretion in women with premenstrual dysphoric disorder (PMDD) compared to controls. Here, we investigated the effects of exogenous melatonin in five patients previously studied. They took 2 mg of slow-release melatonin 1 hour before bedtime during their luteal phase (LP) for three menstrual cycles. At baseline, patients spent every third night throughout one menstrual cycle sleeping in the laboratory. Measures included morning urinary 6-sulfatoxymelatonin (aMt6), PSG sleep, nocturnal core body temperature (CBT), visual analogue scale for mood (VAS-Mood), Prospective Record of the Impact and Severity of Menstrual Symptoms (PRISM), and ovarian hormones. Participants also underwent two 24-hour intensive physiological monitoring (during the follicular phase and LP) in time-isolation/constant conditions to determine 24-hour plasma melatonin and CBT rhythms. The same measures were repeated during their third menstrual cycle of melatonin administration. In the intervention condition compared to baseline, we found increased urinary aMt6 (p<0.001), reduced objective SOL (p=0.01), reduced SWS (p<0.001) and increased Stage 2 sleep (p<0.001). Increased urinary aMt6 was associated with reduced SWS (r=-0.51, p<0.001). Circadian parameters derived from 24-hour plasma melatonin and CBT did not differ between conditions, except for an increased melatonin mesor in the intervention condition (p=0.01). Ovarian hormones were comparable between the conditions (p≥0.28). Symptoms improved in the intervention condition, as measured by the VAS-Mood (p=0.02) and the PRISM (p<0.001). These findings support a role for disturbed melatonergic system in PMDD that can be partially corrected by exogenous melatonin.


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