Impact of binge eating during pregnancy on gestational weight gain and postpartum weight retention among women with gestational diabetes mellitus: LINDA-Brasil

Mindfulness acting with awareness and emotional eating among polycystic ovary syndrome women with infertility: the mediating role of depression

Emotional eating, characterized by the tendency to increase food intake in response to negative emotional states, is often linked to poor emotion regulation. While mindfulness-based interventions have been studied for their benefits in reducing emotional eating, less is known about how inherent mindfulness traits, relate to emotional regulation particularly among individuals with polycystic ovary syndrome (PCOS), a population known for high rates of psychological distress and disordered eating behaviors. This study investigates the associations between different facets of mindfulness, depressive symptoms, and emotional eating among individuals with PCOS and infertility who had not received any formal mindfulness intervention. A cross-sectional study was conducted involving 334 individuals. Participants completed the Five Facet Mindfulness Questionnaire-Short Form (FFMQ-SF), the Patient Health Questionnaire (PHQ-9) to assess depressive symptoms, and the Dutch Eating Behavior Questionnaire (DEBQ) to measure emotional eating. Structural Equation Modeling (SEM) was employed to examine the relationships between inherent mindfulness traits (i.e., observation, describing, acting with awareness, non-reactivity, and non-judgment), depressive symptoms, anxiety, and emotional eating. The findings indicated that the trait of acting with awareness may reduce emotional eating through its influence on depressive symptoms, while observational mindfulness was found to be associated with increased emotional eating without prior external mindfulness training. In conclusion, Mindfulness is a multidimensional construct, with its facets contributing differently to emotional regulation and eating behaviors in individuals with PCOS and infertility. Future research should explore these nuances to develop more targeted interventions.

Artificial intelligence as a virtual coach in a cognitive behavioural intervention for perfectionism in young people: A randomised feasibility trial

Background

We examined the feasibility and outcomes of Artificial Intelligence (AI) as a virtual coach in guided self-help (GSH-AI) compared to pure self-help (PSH).

Method

Participants (N = 85 undergraduate university students; M age = 20.65 years [SD = 2.38]; 84 % female) were randomised to PSH (N = 42) or GSH-AI (N = 43). The intervention was a brief 11-module online cognitive behaviour therapy for perfectionism intervention completed over 4-weeks. GSH-AI participants were given suggested questions to ask AI for guidance in completing the intervention. Data were collected at baseline, 4- and 8-weeks post-randomisation.

Results

Engagement was good, only one person in each group did not use any modules; module completion was equivalent across conditions (6.67, SD = 3.22 and 6.18, SD = 3.42 respectively). Between baseline and post-intervention people in the GSH-AI condition showed an almost 3.5 times increase in preferring support to be received from AI versus other modes of support. Only 52 % and 22 % of participants completed 4- and 8-week post-randomisation surveys, with no differences in psychological outcomes between the PSH and GSH-AI groups. Main effects of time indicated moderate to large within-group effect size improvements for disordered eating, stress, anxiety, and perfectionism.

Conclusions

Qualitative feedback indicated that AI was initially acceptable as a guide and became even more acceptable after it had been experienced. Fully powered trials are required to determine the impact of AI guidance on outcomes, and whether type of AI platform (customised versus generic) and type of mental health disorder interact with its effects.

Prevalence and related factors of eating disorders in pregnancy: a systematic review and meta-analysis

PURPOSE

To reveal the prevalence of eating disorders (EDs) and related factors in pregnancy.

METHODS

The search was performed in PubMed, EBSCOhost, Web of Science, Scopus, Google Scholar, and Ovid databases search up to April 3, 2022, using the keywords combination of "(eating disorders OR anorexia nervosa OR bulimia nervosa OR binge eating disorder) AND (pregnancy OR pregnant)". Two researchers independently extracted data from the articles using a standard form. We evaluated the quality of the studies according to the Joanna Briggs Institute assessment tools.

RESULTS

The prevalence of EDs in pregnant women in the 11 studies involving 2,369,520 pregnant women was ranging between 0.5 and 10.6%. The prevalence of EDs in pregnant women was 4.3% (95% confidence interval 2%-9%; I2 = 99.5%). The prevalence of anorexia nervosa and binge eating disorder during pregnancy shows a statistically significant increase compared to pre-pregnancy, and the prevalence of bulimia nervosa during pregnancy decreases. The prevalence of EDs is higher in pregnant women under 30 years of age, secondary school graduates, married, and with normal BMI. Half of the pregnant women with EDs had anxiety and about one-third of pregnant women had depression. Excessive exercise is observed in 0.7% of pregnant women, fasting in 0.3%, laxative or diuretic use in 0.1%, and self-induced vomiting in 0.6%.

CONCLUSIONS

This study is important as it is the first systematic review and meta-analysis to reveal the global prevalence of EDs in pregnant women and related factors. Continuing routine screening tests to detect EDs during pregnancy may contribute to taking special preventive measures for risk groups and protecting mother-child health.

TRIAL REGISTRATION

PROSPERO registration number (CRD42022324721), date of registration: 10/05/2022.

Gestational diabetes mellitus according to different diagnostic criteria: Prevalence and related factors

OBJECTIVE

Gestational diabetes mellitus (GDM) has an impact on maternal health; however, there is no consensus about the diagnostic criterion and frequency of disease. The objective of this study was to estimate the prevalence of GDM and to evaluate the clinical characteristics of normoglycemic pregnant women and of those diagnosed with gestational diabetes mellitus, based on each criterion.

METHODS

Prospective cohort study. Third-trimester pregnant women participated, with the occurrence of GDM being verified, according to two different diagnostic criteria. Prevalence was estimated in each category, and the prevalence ratios (PR) and 95% confidence intervals were adjusted using Poisson Regression.

RESULTS

A total of 8.7% of women were diagnosed with GDM (glycemia ≥95) and 8% had glycemic levels ≥92mg/dL according to IADPSG diagnosis. Factors related to the disease were the same, although the magnitude of the associations differed according to the diagnosis criteria. Pre-gestational obesity (PR 3.59 CI 1.28-10,07), previous diseases (PR 3.03 CI 1.15-7.94), and excessive weight gain (PR 4.71 CI 1.80-12.33) were factors related to total GDM, plus low nutritional knowledge (PR 3.17 CI 1.10-9.11). Regardless of the diagnostic criterion, women with GDM were at higher risk of intercurrences during pregnancy.

CONCLUSION

Nutritional knowledge and status were associated with GDM occurrence, independently of the diagnosis criteria. The adoption of the glycemic cutoff point of ≥ 92mg/dL indicated an important portion of the population without a diagnosis, suggesting that this cutoff point, more sensitive, should be used in order to guide women and minimize untoward outcomes.