Dropping out of a peripartum depression mHealth study: participants' motives and suggestions for improvement.

Background: Peripartum depression is a common but potentially debilitating pregnancy complication. Mobile applications can be used to collect data throughout the pregnancy and postpartum period to improve understanding of early risk indicators.

Aim: This study aimed to improve understanding of why women drop out of a peripartum depression mHealth study, and how we can improve the app design.

A registry study on nonsyndromic craniosynostosis: Long-term associations with academic achievement.

Objective: To assess the association between nonsyndromic craniosynostosis (NSC) and academic achievement.

Methods: Registry data were analyzed on demographic background, presence of craniosynostosis and other comorbidities, grades, and results on national standardized tests (NSTs) across primary and upper secondary school, as well as the presence of academic degrees. The analysis used regression modeling on a sample of N = 1110 individuals with NSC and a matched cohort of N = 10,654 individuals.

(ω_{1},ω_{2})-temporal random hyperbolic graphs.

We extend a recent model of temporal random hyperbolic graphs by allowing connections and disconnections to persist across network snapshots with different probabilities ω_{1} and ω_{2}. This extension, while conceptually simple, poses analytical challenges involving the Appell F_{1} series. Despite these challenges, we are able to analyze key properties of the model, which include the distributions of contact and intercontact durations, as well as the expected time-aggregated degree.

Gender-specific play behavior in relation to autistic traits and behavioral difficulties at the age of seven in the SELMA study.

Background: Childhood gender nonconformity is related to psychological distress and behavioral difficulties. Similarly, there is evidence for a link between gender nonconformity, or gender dysphoria in some studies, and autism spectrum disorder and related traits. Our knowledge on those associations mostly originates from clinical populations, which might lead to overestimation.

Exploring User Experiences of the Mom2B mHealth Research App During the Perinatal Period: Qualitative Study.

Background: Perinatal depression affects a significant number of women during pregnancy and after birth, and early identification is imperative for timely interventions and improved prognosis. Mobile apps offer the potential to overcome barriers to health care provision and facilitate clinical research. However, little is known about users' perceptions and acceptability of these apps, particularly digital phenotyping and ecological momentary assessment apps, a relatively novel category of apps and approach to data collection.