View clinical trials related to Postpartum Anxiety.
Filter by:This is a prospective, longitudinal and observational study designed to investigate the trajectories of postpartum anxiety and its determinants in the first year after childbirth. This study also examine the associations between postpartum anxiety and infant health outcome, including breastfeeding patterns, excessive crying and body weight growth. Primipara aged 20-49 with term baby will be invited. Demographics, maternal-newborn characteristics, and anxiety symptoms will be collected during the first week postpartum (T1). Questionnaires will be follow-up by mail and telephone reminder in 1 (T2), 3 (T3), 6 (T4) and 12 months (T5) postpartum. The primary outcome is postpartum anxiety using the Spielberger's State-Trait Anxiety Inventory (STAI); the secondary outcomes are infant health outcomes including breastfeeding patterns, excessive crying and body weight growth. A linear mixed model (LMM) is used to determine the trajectories of postpartum anxiety over time and to examine whether specific demographic and maternal characteristics predict the trajectories of postpartum anxiety. The key findings may contribute to promote early identification and secondary preventive interventions for women with postpartum anxiety.
To evaluate the effects of gestational age and other factors on maternal attachment relationship. There are different results in studies examining the effects of birth type on postpartum depression and mother-infant interaction. The aim of this study was to evaluate factors which affected mother-infant bond (MIB) using maternal attachment inventory (MAI).
Mental health symptoms - especially depression and anxiety - are very common in new parents, affecting close to 20% of mothers and at least 10% of fathers. When such symptoms progress to severe levels, they can be more difficult to treat. Early identification of symptoms and prompt treatment are ideal. Despite broad awareness that mental health symptoms in new parents are common, few systems are in place to automatically assess and monitor such symptoms. Evidence-based symptom surveys that can identify parents at risk for postpartum mental health disorders exist, and effective medication and non-medication treatment options are available. Yet, most primary care settings do not have systems in place to ensure that parents with mental health problems (and especially fathers) are identified and treated. This study will use a digital application with a customized website, electronic medical record and email integration to engage parents in assessing their mental health symptoms within weeks of the birth of their new baby. Electronic symptom surveys, sent on behalf of the family doctor, will be used to support proactive, personalized postpartum mental healthcare (P3MH). Responses will be used to enable a tailored care plan for the patient, including advice about options for referrals, treatment, and local community-based psycho-educational and/or social supports. This eHealth intervention includes a web-based application for parents and seamless integration in the EMR, so that when the family doctor sees the patient in clinic, relevant information is ready to be discussed. In this study, a co-design process will be carried with patients and health professionals to refine this eHealth intervention, and determine the usability, user experience, and perceived value of this process in terms of whether it enables mental health symptoms to be caught early and managed in the best way possible for each parent. The procedures will also be piloted for a future large-scale evaluation.
The objective of this cross-sectional study is to assess the prevalence of depression at 2 months, 6 months, and 1 year postpartum in women who had an immediate postpartum hemorrhage (immediate PPH defined as blood loss ≥ 500 mL within 24 hours of delivery). The potential serious consequences of PPH may lead to a greater number of psychological disorders in these women than in women without PPH.