Elevated eating disorder symptoms in women with a history of oral contraceptive side effects

Hormonal contraceptive use and women's well-being: links with body image, eating behavior, and sleep

The goal of the current study was to examine associations between hormonal contraceptive use and indicators of well-being including body image, eating behavior, sleep and energy level. Drawing on a health protection framework, we expected that individuals who use hormonal contraceptives would be more attuned to health and report more positive health attitudes and behaviors on these dimensions. Undergraduate college women (N = 270; M = 19.39 years, SD = 2.43, range 18-39 years) from diverse racial/ethnic and sexual orientation groups completed a survey online. Measures included hormonal contraception use, body image, weight control behavior, breakfast consumption, sleep behavior, and daytime energy level. Nearly 1/3 (30.9%) of the sample reported current hormonal contraceptive use, with most users reporting use of birth control pills (74.7%). Women who used hormonal contraceptives reported significantly higher appearance orientation and body surveillance, lower average energy, more frequent night awakenings, and more naps. Longer duration of hormonal contraceptive use was significantly related to higher body surveillance, and engaging in more unhealthy weight control behavior. Hormonal contraceptive use is not related to indicators of greater well-being. Rather, hormonal contraceptive use is related to greater attention to appearance, lower daytime energy, and some indicators of poorer sleep quality. Clinicians who prescribe hormonal contraceptives should attend to body image, sleep and energy concerns among users.

Female intrasexual competitiveness interacts with body mass index to predict willingness to use a risky diet pill

Introduction

Previous research has highlighted the putative role of intrasexual competition (IC) in predicting women's body dissatisfaction, weight loss effort, and, at its extreme, eating disorders. However, extant research reporting on these links is limited by its exclusion of potential confounds, including psychopathologies such as depression. Moreover, it is presently unclear whether women higher in body mass index (BMI) may be more prone to the influence of IC in taking dieting risks.

Methods

To address these gaps in the literature, 189 young adult women completed measures of IC, depressive symptoms, willingness to use a risky diet pill, and had their height and weight measured.

Results

Results showed that IC interacted with BMI to predict willingness to use a risky diet pill, such that women high in both IC and BMI were most likely to take the risky diet pill. Further exploratory analyses considering potential directional links between BMI and depression supported mediating roles of depression (from BMI) and BMI (from depression) in predicting willingness to use a risky diet pill.

Discussion

Results suggest that links between IC and dieting risks may be moderated by women's BMI, and that these links hold when considering depressive symptoms. Future longitudinal research would benefit from a better understanding of the potential directional links between BMI, depression, and diet pill use.

Network analysis of eating disorder symptoms in women in perimenopause and early postmenopause

OBJECTIVE

Eating disorders (EDs) are often stereotyped as disorders of adolescence and young adulthood; however, they can occur at any age. Prevalence of EDs at midlife are approximately 3.5% and specific symptoms at midlife can have prevalences as high as 29.3%. Studies also inconsistently suggest that EDs and related symptoms may be more prevalent in midlife aged women during perimenopause compared with midlife aged women at pre-menopause. To date few studies have examined the structure of and associations between ED symptoms in women specifically during perimenopause and early postmenopause. Thus, the purpose of the current study is to investigate the structure of ED symptoms specifically during perimenopause and early postmenopause.

METHODS

Participants included 36 participants (45-61 y old) in a larger clinical trial who completed the Eating Disorder Examination Questionnaire (EDE-Q) at a baseline study visit. Network analysis statistical models were used to examine the structure of and associations between ED symptoms assessed via the EDE-Q.

RESULTS

Shape dissatisfaction and weight dissatisfaction were the top 2 central symptoms in the network.

CONCLUSIONS

Results corroborate previous studies and indicate that, similar to young adult samples, dissatisfaction with body image is a core feature of ED pathology across the lifespan.

Understanding comorbidity between eating disorder and premenstrual symptoms using a network analysis approach

Eating disorder symptoms are associated with ovarian hormones and fluctuate predictably across the menstrual cycle. However, the specific symptoms that underlie these associations remain unclear. The current study aims to examine which specific eating disorder and premenstrual symptoms confer risk and maintain comorbidity using network analysis. Eating disorder and premenstrual symptoms were measured using the Eating Pathology Symptoms Inventory and the Daily Record of Severity of Problems, respectively, in a large sample of young adult females. Network analysis was used to explicate the structure of eating and premenstrual symptom networks separately and together. Eating disorder networks replicated previous literature and identified body dissatisfaction as a core feature, but was unique in identifying monitoring calories as an additional core feature. Central symptoms identified in the premenstrual symptom network were symptoms interference with daily life and activities and negative emotions brought on by hormone changes. Bridge symptoms between networks were identified as relating to eating behaviors, interference with daily activities, joint and muscle pain, and negative emotions brought on by hormone changes. This study suggests that the links between eating disorder and premenstrual symptoms extend past their individual effects on eating behavior and are indicative of a shared underlying mechanism.

Combined oral contraceptive use and risk for binge eating in women: Potential gene × hormone interactions

Extant animal and human data suggest endogenous ovarian hormones increase risk for binge eating in females, possibly via gene × hormone interactions and hormonally induced increases in genetic influences. Approximately 85 % of women will take combined oral contraceptives (COCs) that mimic the riskiest hormonal milieu for binge eating (i.e., post-ovulation when both estrogen and progesterone are present). The purpose of this narrative review is to synthesize findings of binge eating risk in COC users. Few studies have been conducted, but results suggest that COCs may increase risk for binge eating and related phenotypes (e.g., craving for sweets), particularly in genetically vulnerable women. Larger, more systematic human and animal studies of COCs and binge eating are needed. The goal of this work should be to advance personalized medicine by identifying the extent of COC risk as well as the role of gene × hormone interactions in susceptibility.

Premenstrual symptoms as a marker of ovarian hormone sensitivity in eating disorders

OBJECTIVE

Research indicates a link between ovarian hormones and eating pathology, suggesting that some women with an eating disorder may be ovarian hormone sensitive. Using premenstrual symptoms (PMS) as an indirect measure of ovarian hormone sensitivity, we investigated the association between 11 PMS domains and four core eating disorder symptoms: body dissatisfaction, binge eating, purging, and restriction.

METHOD

Participants were young adult women (N = 455) who completed an online survey. PMS were assessed using the Daily Record of Severity of Problems and eating pathology with the Eating Pathology Symptoms Inventory. Pearson correlations were calculated between PMS domains and eating disorder symptoms followed by a stepwise regression to create a more refined model for each eating disorder symptom, including relevant covariates.

RESULTS

Significant correlations between a majority of eating disorder symptoms and PMS emerged (r's = .13-.37; p < .01). Backward regression revealed significant PMS domain predictors for each symptom. The final models captured a small-to-moderate amount of variance for each eating disorder symptom (R² = 0.06-0.25).

DISCUSSION

Women who experience physical and psychological PMS may be at risk for eating disorder symptoms; PMS could be a marker of ovarian hormone sensitivity in women at risk for an eating disorder. Future studies should address mechanisms underlying this association.