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PURPOSE OF REVIEW The aim of this review is to understand why and how to improve the detection rate of the fetal anomalies in the first trimester. RECENT FINDINGS The role of the first trimester is evolving from aneuploid and basic anatomical screening to a necessary tool to identifying early fetal malformations. In the past 20 years, several studies were conducted to assess the detection rate of anomalies in the first trimester, and despite the improvement in the diagnoses of spina bifida and cleft lip, many anomalies detectable in the first trimester are still being diagnosed in the second trimester scan. Analyzing the factors that improve the detection rate can show the reason why, even in recent years, only 50% of the anomalies are diagnosed in the first trimester. SUMMARY Thanks to the improvement in the ultrasound technology, the fetus can be thoroughly studied even in early gestation and it is, therefore, indispensable to increase the detection rate of the anomalies diagnosable from the first trimester. The sonographer's utmost attention should be applied to all pregnancies, not only in high-risk patients, and new protocols based on the mid trimester scan are needed to spread the concept of first trimester anatomical scan.

OBJECTIVE Test the hypothesis that the efficacy of a dissonance-based obesity/eating disorder prevention program, Project Health, could be enhanced by implementing it in single-sex groups and adding food response inhibition and attention training. METHOD Using a 2 × 2 factorial design, young adults (N = 261; Mage = 19.3, 79% female; 64% White) were randomized to (a) single-sex or (b) mixed-sex groups that completed food response inhibition and attention training or (c) single-sex or (d) mixed-sex groups that completed generic response inhibition and attention training with nonfood images. Preregistered primary outcomes (body fat, Body Mass Index [BMI]), eating disorder symptoms and other outcomes were assessed at pretest and posttest. RESULTS For one preregistered primary outcome, body fat loss, there was a significant interaction between the two manipulated factors (d = -.28), as well as significant main effects for sex composition of groups (d = -.18) and food response inhibition and attention training (d = -0.17), with the largest body fat loss occurring for single-sex groups implemented with food response inhibition and attention training. Although the two manipulated factors did not significantly affect the other outcomes (including BMI, the other preregistered primary outcome), there was a significant reduction in eating disorder symptoms across the conditions (within participant d = -.78), converging with prior evidence that Project Health produced larger reductions in symptoms than educational control participants. CONCLUSIONS Results suggest that implementing Project Health in single-sex groups with food response inhibition and attention training produced the largest body fat loss effects, as well as significant reductions in eating disorder symptoms, suggesting that efforts to disseminate this prevention program are warranted. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Background Eating disorders (EDs) are complex mental illnesses with debilitating, pervasive psychological and physiological consequences when left untreated. Unfortunately, patients may face barriers to receiving treatment, such as stereotypes surrounding EDs, denial of illness severity, lack of motivation for treatment, and lack of knowledge about treatment resources. Barriers such as these result in a large treatment gap: only 20% of those with EDs will ever receive treatment. Digital tools like chatbots show potential to disseminate mental health–related interventions to large populations while offering a user-friendly, cost-effective, accessible, and anonymous means of tackling patient concerns. Objective This study developed and evaluated the usability of a chatbot designed for pairing with online ED screening. The tool aimed to promote mental health service utilization by improving motivation for treatment and self-efficacy among individuals with EDs. Methods A chatbot prototype, Alex, was designed using decision trees and theoretically informed components: psychoeducation, motivational interviewing, personalized recommendations, and repeated administration. Usability testing was conducted over 4 iterative cycles, with user feedback informing refinements to the next iteration. Postintervention, participants (N=21) completed the System Usability Scale (SUS), the Usefulness, Satisfaction, and Ease of Use Questionnaire (USE), and a semistructured interview. This process aimed to create an optimized chatbot by the final cycle for use in a randomized trial. Results Interview feedback detailed chatbot aspects participants enjoyed and aspects necessitating improvement. Feedback converged on four themes: user experience, chatbot qualities, chatbot content, and ease of use. Following refinements, users described Alex as humanlike, supportive, and encouraging. Content was perceived as novel and personally relevant. USE scores across domains were generally above average (~5 out of 7), and SUS scores indicated “good” to “excellent” usability across cycles, with the final iteration receiving the highest average SUS score. Conclusions Overall, participants responded well in interactions with Alex, including the initial version. Refinements between cycles further improved user experiences. This study provides preliminary evidence of the feasibility and acceptance of a chatbot designed to promote motivation for and use of services among individuals with EDs. Alex is the first chatbot designed for pairing with an ED or other mental health–related online screen, with the goal of ultimately increasing service utilization. Acknowledgments This research was supported by K08 MH120341 from the National Institute of Mental Health. Availability of Data, Materials, and Code The data will be made available by reasonable request to the corresponding author. Authors’ Contributions EEFC conceptualized and designed the study. OL and BD conducted the investigation process. BD and JS assisted with data curation and conducted formal thematic analyses. JS conducted formal statistical analyses. JS wrote the original manuscript, with contribution from BD. EEFC, CBT, DEW, and SSS designed the data collection instruments, and coordinated and supervised data collection, in addition to reviewing and editing the manuscript with LS, LMF, LAF, and LD. Conflicts of Interest None declared.

Objective Consistent self-monitoring of dietary intake, weight, and physical activity predicts better outcomes during behavioral weight loss, but the factors that influence self-monitoring adherence are not well understood. This study attempted to fill gaps in the existing literature by examining whether pre-treatment eating behaviors predict adherence to digital self-monitoring during a behavioral weight loss program. Method Participants (N = 77) reported on binge eating, uncontrolled eating, and emotional eating at baseline, and were instructed to self-monitor their food intake, weight, and physical activity using digital devices (food logging app, Fitbit, and wireless “smart” scale) throughout the 12-week treatment. Adherence to self-monitoring was assessed using data captured from these devices. Results Greater baseline binge eating severity predicted greater adherence to self-monitoring of weight (ρ = 0.25, p = .03) and eating (ρ = 0.25, p = .03), but not self-monitoring of physical activity. Uncontrolled eating and emotional eating did not significantly predict self-monitoring adherence. Conclusions In contrast to previous research, this study found that participants with greater pre-treatment binge eating severity had better adherence to self-monitoring of eating, and for the first time established a relationship between binge eating severity and digital self-monitoring of weight in behavioral weight loss. Individuals with greater pre-treatment binge eating may exhibit characteristics, such as motivation or rigidity, that are beneficial during the initial period of weight loss. Future studies should determine if there are features of analogue versus digital self-monitoring that may explain this pattern of findings, and examine these associations longitudinally.

Weight suppression (WS) predicts future weight gain and increases in eating disorder symptoms in community and clinical samples but has received minimal attention in obesity and eating disorder prevention programs. In a sample of emerging adults (N = 364) in a randomized controlled trial evaluating two obesity and eating disorder prevention interventions versus a control condition, this study aimed to replicate the findings that WS and its interaction with baseline BMI predict increases in weight and eating disorder symptoms and test a novel hypothesis that WS would moderate the effects of the interventions on change in weight and eating disorder symptoms. Participants completed assessments at baseline, post-intervention, 6-, 12-, and 24-months. WS was calculated as the difference between highest lifetime weight and baseline weight. WS interacted with baseline BMI to predict greater weight gain over 24-months, such that those with high WS and lower baseline BMI gained weight most rapidly. WS did not predict eating disorder symptom change and did not moderate the effects of the prevention programs. Given that individuals with WS are at increased risk for weight gain, expressly targeting this high-risk population with evidence-based obesity prevention programs may be useful. Clinicaltrials.gov registration NCT01680224.

INTRODUCTION The purpose of the study was to evaluate the differences in individual histopathologic placental lesions in pregnancies complicated by early-onset (