Background: Characterizing normal heart rate variability (HRV) and resting heart rate (RHR) in healthy women over the course of a pregnancy allows for further investigation into disease states, as pregnancy is the ideal time period for these explorations due to known decreases in cardiovascular health. To our knowledge, this is the first study to continuously monitor HRV and RHR using wearable technology in healthy pregnant women. Methods: A total of 18 healthy women participated in a prospective cohort study of HRV and RHR while wearing a WHOOP® strap prior to conception, throughout pregnancy, and into postpartum. The study lasted from March 2019 to July 2021; data were analyzed using linear mixed models with splines for non-linear trends. Results: Eighteen women were followed for an average of 405.8 days (SD = 153). Minutes of logged daily activity decreased from 28 minutes pre-pregnancy to 14 minutes by third trimester. A steady decrease in daily HRV and increase in daily RHR were generally seen during pregnancy (HRV Est. = − 0.10, P < 0.0001; RHR Est. = 0.05, P < 0.0001). The effect was moderated by activity minutes for both HRV and RHR. However, at 49 days prior to birth there was a reversal of these indices with a steady increase in daily HRV (Est. = 0.38, P < 0.0001) and decrease in daily RHR (Est. = − 0.23, P < 0.0001), regardless of activity level, that continued into the postpartum period. Conclusions: In healthy women, there were significant changes to HRV and RHR throughout pregnancy, including a rapid improvement in cardiovascular health prior to birth that was not otherwise known. Physical activity minutes of any type moderated the known negative consequences of pregnancy on cardiovascular health. By establishing normal changes using daily data, future research can now evaluate disease states as well as physical activity interventions during pregnancy and their impact on cardiovascular fitness.

Women with eating disorders are more likely to negatively react to finding out they are pregnant, although this difference in attitudes between women with eating disorders and controls disappears at 18-weeks’ gestation. Those with anorexia also are twice as likely to have an unplanned pregnancy and those with bulimia have a 30-fold increased chance compared with healthy controls. Therefore, due to these considerations, pregnancy and the transition to motherhood can be an extremely challenging time for these women both psychologically and physically. The purpose of this qualitative descriptive study was to understand the intersection between eating disorders and pregnancy from the lived experience of women who have been pregnant or want to or do not want to become pregnant. A total of 15 women with a current or past history of an eating disorder were recruited, including nine women who have had previous pregnancies as well as six nonparous women. Interviews were the primary unit of data collection, in addition to document analysis of diaries or blogs. Data analysis was based on verbatim transcripts from audio recordings. NVIVO 11© was used to manage the data from these interviews and thematic analysis was then conducted for emergence of major and sub themes. A total of six themes emerged from the iterative process of coding and categorizing. They were: Control, Disclosure to Others, Battle between Mothering & Eating Disorder, Fear of Intergenerational Transmission, Weight and Body Image Concerns, and Coping Strategies. One theme, Battle between Mothering & Eating Disorder also had three sub-themes: Decision to Have Child, Emotions Towards Pregnancy, and Focus on Child/Greater Good. It is hoped that quotes and themes derived from this study will help inform both prenatal and postnatal care and interventions, as well as addressing intergenerational transmission concerns among mothers with eating disorders.

Objective: There is a paucity of research exploring eating disorders (EDs) and academic performance (AP). This study aimed to understand the effect of ED treatment on AP, hypothesizing that students receiving treatment for EDs would have a higher GPA. Participants: The Spring 2010 – Spring 2011 National College Health Assessment data (N = 231,586) was utilized. Methods: Ordinal logistic regressions, controlling for key confounders, analyzed the association between those diagnosed with anorexia or bulimia and GPA. Results: Students diagnosed with anorexia or bulimia and treated with medication and psychotherapy were respectively 1.49 (1.24, 1.80; p < .0001) or 1.35 (1.13, 1.61; p = .0009) times more likely to have a higher GPA (p < .0001) compared to students without EDs. Conclusion: Findings expand the literature on EDs and AP among college students. Additional research is needed to determine whether the combination of medication and psychotherapy is the most effective way to improve AP among students with EDs.

Rapid screening tools are useful for identifying at-risk patients and referring them for further assessment and treatment, but none exist that consider the unique medical needs of pregnant women with eating disorders (EDs). There is a need for a rapid, sensitive, and specific screening tool that can be used to identify a potential ED in pregnancy. We started with a set of 25 questions, developed from our qualitative work along with other ED screening tools, and tested on a development (n = 190) and validation sample (n = 167). Statistical analysis included factor analysis and logistic regressions with ROC curves. Development and validation samples were combined for trimester analysis (n = 357). Refining the tool to 12 items demonstrated strong internal reliability (development alpha = 0.95, validation alpha = 0.91). With correlated errors, questions demonstrated acceptable CFA fit (development: GFI: 0.91, RMSEA: 0.10, NNFI: 0.95; validation: GFI: 0.85, RMSEA: 0.14, NNFI: 0.86). Similar fits were seen by trimester: first trimester n = 127, GFI: 0.89, RMSEA: 0.12, NNFI: 0.94; second trimester n = 150, GFI: 0.83, RMSEA: 0.14, NNFI: 0.88; third trimester n = 80, GFI: 0.99, NNFI: 0.99. Validation against current ED diagnosis demonstrated acceptable sensitivity and specificity using a cutoff of 39 (development sensitivity = 80.7%, specificity = 79.7%, OR = 16.42, 95% CI: 7.51, 35.88; validation sensitivity = 69.2%, specificity = 86.5%, OR: 17.43, 95% CI: 6.46, 47.01). Findings suggest the PEBS tool can reliably and sensitively detect EDs across pregnancy trimesters with 12 questions. A further implication of this work is to reduce health and mental health treatment disparities through this standard and rapid screening measure to ensure early identification and treatment.

Background: Research has shown that university students engage in behaviors that are associated with poor sleep quality, such as higher caffeine and alcohol intake. Yet studies exploring eating habits and weight loss mechanisms related to sleep quality have generally been inconclusive. This study explored total daily caffeine consumption (along with different sources of caffeine) as well as dieting and exercising to lose weight in the last 30 days as risk factors for poor sleep quality among an undergraduate university population. Methods: Full-time undergraduate students (n = 400) participated in an anonymous online survey about various health behaviors at a large, mid-Atlantic university. Multivariable linear regressions were run to consider subjective sleep quality in relation to caffeine consumption and dieting behavior along with other covariates. A sensitivity analysis was run to explore how different types of caffeinated beverages were associated with sleep quality as well. All analyses were conducted using SAS JMP Version 16. Results: A stepwise multivariable linear regression controlling for alcohol use, grade point average, biological sex, and stress showed significant increases in sleep quality scores (indicating worsening sleep quality). Total caffeine consumption remained significant through the models until psychosocial factors were added (B = 0.003, p = 0.0035). The sensitivity analysis indicated that total caffeine consumption from soda remained significant across all models, significantly increasing sleep quality scores (B = 0.01; p = 0.0054). Discussion: Higher amounts of caffeine from sodas were associated with more significant decreases in sleep quality than other types of caffeine, including energy drinks, coffee, and tea. Dieting or exercising to lose weight was not significantly associated with sleep quality. The results of this study can help to refine intervention efforts designed to improve sleep quality among undergraduate university students. Behavioral interventions specific to reducing caffeine intake, specifically from caffeinated sodas, may prove to be beneficial with this population. Plain Language Summary: In college, students face risks for worse sleep quality, like consuming more caffeine and feeling more stressed. When scientists studied how eating habits affect sleep, the results were mixed. This study was conducted to see how much caffeine and weight-loss methods affect sleep quality for college students. Researchers used a survey to ask college students about their sleep, caffeine, weight-loss methods, and other behaviors. This study found that drinking more soda was associated with worse sleep quality when compared to drinking coffee, tea, or energy drinks. Drinking alcohol and being stressed also was connected with poorer sleep quality worse. However, researchers did not find a link between weight-loss methods and sleep quality. For college students to have better sleep, interventions should try to lower caffeine intake (especially from soda), alcohol intake, and stress levels.

Purpose: There is little investigation into the causes of food addiction. The aim of this study was to determine the impact of early life influences on the development of food addiction in college-attending young adults aged 18–29. Methods: This study utilized a sequential explanatory mixed-methods research design. College-attending young adults were invited to complete an online survey measuring Adverse Childhood Experiences (ACEs), food addiction, depression, anxiety, stress, and demographic information. Correlations between food addiction and the other variables were analyzed and significant variables were placed into a nominal logistic regression model to predict the development of food addiction. Participants who met the criteria for food addiction were invited to participate in interviews to examine their childhood eating environment and when their symptoms emerged. Interviews were transcribed and thematically analyzed. Quantitative analysis was conducted using JMP Pro Version 16.0 and qualitative analysis was conducted using NVIVO Software Version 12.0. Results: Survey respondents (n = 1645) had an overall 21.9% prevalence of food addiction. Significant correlations were observed between food addiction and ACEs, depression, anxiety, stress, and sex (p < .01 for all). Depression was the only significant predictor of the development of food addiction (OR = 3.33 95% CI 2.19, 5.05). The most common eating environment described by interview participants (n = 36) was an emphasis on diet culture, ideal body image, and restrictive environments. Symptoms frequently emerged after transitioning into college and having the ability to make their own food choices. Conclusion: These results show the impact of early life eating environments and young adulthood mental health on the development of food addiction. These findings contribute to the understanding of underlying causes of food addiction. Level of evidence: Level V, Opinions of authorities, based on descriptive studies, narrative reviews, clinical experience, or reports of expert committees.