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Background: Accumulating research has shown associations between excessive social media use (SMU) with depressive symptoms. Depression is common during pregnancy, but it is not known whether SMU plays a role in the etiology and clinical course of depressive symptoms during pregnancy., Methods: The current study is a prospective cohort study with Dutch-speaking pregnant women recruited at the first antenatal appointment (N = 697). Depressive symptoms were measured at each trimester of pregnancy using the Edinburgh Depression Scale. Growth mixture modeling was used to determine classes of women based on longitudinal trajectories of depressive symptoms. SMU was assessed at 12 weeks of pregnancy, specifically, intensity (time and frequency) and problematic SMU (Bergen Social Media Addiction Scale). Multinomial logistic regression analyses were used to examine the associations between SMU and trajectories of depressive symptoms., Results: Three trajectories of depressive symptoms during pregnancy were identified: a low stable (N = 489, 70.2 %), intermediate stable (N = 183, 26.3 %), and high stable (N = 25, 3.6 %) class. SMU Time and Frequency were significantly associated with belonging to the high stable class. Problematic SMU was significantly associated with belonging to the intermediate or high stable class., Limitations: The study does not allow to draw conclusions about causality. The group sizes of the three trajectories differed considerably. Data were collected during the COVID-19 pandemic which may have influenced the results. SMU was measured by self-report., Conclusions: These results indicate that both higher intensity of SMU (time and frequency) and problematic SMU may be a risk factor for higher levels of prenatal depressive symptoms during pregnancy., Competing Interests: Declaration of competing interest All other authors declare that they have no conflicts of interest., (Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.)

Objective: To assess the association between trajectories of comorbid anxiety and depressive (CAD) symptoms assessed in each pregnancy trimester and physiological birth., Design: Large longitudinal prospective cohort study with recruitment between January 2013 and September 2014., Setting: Primary care, in the Netherlands., Population: Dutch-speaking pregnant women with gestational age at birth ≥37 weeks, and without multiple pregnancy, severe psychiatric disorder or chronic disease history., Methods: Pregnancy-specific anxiety and depressive symptoms were measured prospectively in each trimester of pregnancy using the negative affect subscale of the Tilburg Pregnancy Distress Scale and Edinburgh (Postnatal) Depression Scale. Data on physiological birth were obtained from obstetric records. Multivariate growth mixture modelling was performed in MPLUS to determine longitudinal trajectories of CAD symptoms. Multiple logistic regression analysis was used to examine the association between trajectories and physiological birth., Main Outcome Measures: Trajectories of CAD symptoms and physiological birth., Results: Seven trajectories (classes) of CAD symptoms were identified in 1682 women and subsequently merged into three groups: group 1-persistently low levels of symptoms (reference class 1; 79.0%), group 2-intermittently high levels of symptoms (classes 3, 6 and 7; 11.2%), and group 3-persistently high levels of symptoms (classes 2, 4 and 5; 9.8%). Persistently high levels of CAD symptoms (group 3) were associated with a lower likelihood of physiological birth (odds ratio 0.67, 95% confidence interval 0.47-0.95, P = 0.027) compared with the reference group (persistently low levels of symptoms), after adjusting for confounders., Conclusions: This study is the first showing evidence that persistently high CAD levels, assessed in each pregnancy trimester, are associated with a lower likelihood of physiological birth., (© 2022 The Authors. BJOG: An International Journal of Obstetrics and Gynaecology published by John Wiley & Sons Ltd.)

Background: Exploring possible protective factors against antenatal depression is important since antenatal depression is common and affects both mother and child. The person characteristic trait mindfulness may be such a protective factor. Because of the high variability in depressive symptoms over time, we aimed to assess the association between trait mindfulness and trajectories of depressive symptoms during pregnancy., Methods: A subsample of 762 women participating in the HAPPY study completed the Three Facet Mindfulness Questionnaire-Short Form at 22 weeks of pregnancy. Possible different trajectories of Edinburgh Postnatal Depression Scale (EPDS) scores, assessed at each pregnancy trimester, were explored with growth mixture modeling., Results: Three EPDS trajectories (classes) were identified: low stable symptom scores (N = 607, 79.7%), decreasing symptom scores (N = 74, 9.7%) and increasing symptom scores (N = 81, 10.6%). Compared to belonging to the low stable class (reference), women with higher scores on the trait mindfulness facets 'acting with awareness' and 'non-judging' were less likely to belong to the decreasing class (OR = 0.81, 95% CI [0.73, 0.90] and OR = 0.77, 95% CI [0.70, 0.84]) and increasing class (OR = 0.88, 95% CI [0.80, 0.97] and OR = 0.72, 95% CI [0.65, 0.79]). Women with higher scores on 'non-reacting' were less likely to belong to the increasing class (OR = 0.89, 95% CI [0.82, 0.97]), but not the decreasing class (OR = 0.96, 95% CI [0.87, 1.04]). All analyses were adjusted for confounders., Conclusions: Characteristics of trait mindfulness predicted low stable levels of depressive symptoms throughout pregnancy. Mindfulness-based programs may be beneficial for pregnant women as a strategy to alleviate depression risks., (Copyright © 2022 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Background: Psychological distress during pregnancy is common: up to 20% of the childbearing women experience symptoms of depression and anxiety. Apart from the adverse effects on the woman herself, pregnancy distress can negatively affect pregnancy outcomes, infant health, postpartum mother-child interaction and child development. Therefore, the development of interventions that reduce pregnancy distress is very important. Mindfulness-based interventions (MBIs) show promising positive effects on pregnancy distress, but there is a need for randomized controlled trials with sufficient power. Trials on online MBIs, which are readily accessible and not expensive, also show positive effects on stress reduction in non-pregnant populations. Moreover, specific working mechanisms of MBIs remain unclear. The aim of the current study is to test the effectiveness of an online MBI in pregnant women with pregnancy distress, as well as exploring potential working mechanisms., Methods: The current study is a randomized controlled trial with repeated measures. Consenting women with elevated levels of pregnancy distress will be randomized into an intervention group (MBI) or control group (care as usual) around 12 weeks of pregnancy, with an intended sample size of 103 women in each group. The primary outcome, pregnancy distress, will be assessed via questionnaires at baseline, halfway through the intervention and post intervention in both intervention and control group, and after 8 weeks follow-up in the intervention group. Secondary outcomes are mindfulness skills, rumination and self-compassion, which are also seen as potential working mechanisms, and will be assessed via questionnaires before intervention, halfway through the intervention, post intervention and after 8 weeks follow-up in the intervention group. Tertiary outcome variables are obstetric data and will be collected from the obstetric records for both intervention and control group. Analyses will be based on the intention-to-treat principle. Multilevel regression models for repeated measures (mixed models) will be used to evaluate changes in primary and secondary outcome variables. Tertiary outcomes will be compared between groups using independent t-tests and Chi Square analyses., Discussion: The trial is expected to increase knowledge about the effectiveness of online MBIs during pregnancy in women with pregnancy distress and to evaluate potential working mechanisms., Trial Registration: ClinicalTrials.gov: NCT03917745, registered on 4 March 2019. Protocol Version 3.0., 20 February 2020.

Background: Receiving epidural analgesia during labor can possibly have negative consequences for mother and child. Yet, the use of epidural analgesia rapidly increased in the Netherlands over the last decade. Since antenatal plans for labor pain relief have been related to epidural analgesia use during labor, the aim of the current study was to develop a Labor Pain Relief Attitude Questionnaire for pregnant women (LPRAQ-p).Methods: Three focus group interviews were conducted with pregnant women, new mothers and caregivers and 13 candidate items were derived. Psychometric properties were tested with explorative factor analysis in sample I (N = 429) and a subsequent confirmatory factor analysis in a different sample II (N = 432).Results: The explorative factor analysis suggested a two-factor seven-item solution: a 'women's perception' and 'social environment' subscale. The confirmatory factor analysis confirmed an excellent six-item model fit with appropriate internal consistency. Higher scores on the six-item LPRAQ-p indicate greater willingness for request of pain relief medication during labor. Two-tailed t-tests showed that women with elevated levels of depression and pregnancy-specific distress symptoms, nulliparous women and multiparous women with complications during a previous delivery had greater willingness for request of pain relief medication during labor. Linear regression showed that the most important association with higher scores on the LPRAQ-p were high pregnancy-specific distress symptoms.Conclusions: This study showed the LPRAQ-p to be a valid instrument to evaluate attitude towards labor pain relief in pregnant women. High scores on this questionnaire are associated with high levels of pregnancy-specific distress symptoms. [ABSTRACT FROM AUTHOR]