Prenatal mental health data and birth outcomes in the pregnancy during the COVID-19 Pandemic dataset.

The COVID-19 pandemic was a substantial stressor, especially for pregnant individuals. We aimed to understand the impact of COVID-19-related stresses on pregnant individuals and their infants and collected survey-based data across Canada as part of the Pregnancy during the COVID-19 Pandemic (PdP) project. The dataset described here provides baseline prenatal data and basic birth outcomes from PdP participants. This data includes information from pregnant individuals as well as their infants. At enrolment and time of completion of the baseline survey, participants were pregnant, ≥17 years of age, ≤35 weeks of gestation, living in Canada, and able to read and write in English or French. Baseline data were collected between April 2020-April 2021. Infant data were collected between May 2020-December 2021. All data were collected via self-report using online questionnaires in REDCAP. Questionnaires were available in both English and French. Data were checked for completeness and plausibility, and duplicates were removed. The dataset described here includes age, education, and household income of the pregnant individuals reported at the baseline/enrollment survey. Raw scores are provided for the Edinburgh Postnatal Depression Scale (EPDS) and the PROMIS Anxiety scale. Ratings are also given for three variables describing fear of the COVID-19 virus. Birth outcomes are provided for infants, including gestational age at birth, birthweight, length, mode of delivery, and whether the infant spent time in the neonatal intensive care unit (NICU). Delivery date is reported as month and year. These data will be beneficial for anyone interested in researching stress during pregnancy or birth outcomes in the context of the COVID-19 pandemic. They will also be useful to researchers interested in examining more general effects of prenatal distress on birth outcomes in children. Data could also be compared to other datasets from the COVID-19 pandemic to establish generalizability, or to pre-pandemic datasets to determine the extent of changes during the COVID-19 pandemic.

Effect of Remote Peer-Counsellor- delivered Behavioral Activation and Peer-support for Antenatal Depression on Gestational Age at Delivery: a single-blind, randomized control trial.

BACKGROUND: Antenatal depression (AD) is the most common complication of pregnancy in developed countries and increases the risk of preterm birth (PTB). Many pregnant individuals with AD do not obtain treatment due in part to risks associated with antidepressant medications, the expense and wait times for psychological services, and perceived stigma. Accessible and timely treatment of antenatal depression is crucial to minimize foetal impacts and associated long-term child health outcomes. Previous studies show that behavioural activation and peer support are promising avenues of treatment for perinatal depression. Additionally, remote and paraprofessional counselling interventions show promise as more accessible, sustainable, and cost-effective treatment avenues than traditional psychological services. The primary aim of this trial is to test the effectiveness of a remote, behavioural activation and peer support intervention, administered by trained peer para-professionals, for increasing gestational age at delivery among those with antenatal depression. The secondary aims are to evaluate the effectiveness for treating AD prior to delivery, with persistence into the postpartum; improving anxiety symptoms; and improving parenting self-efficacy compared to controls. METHODS: A two-arm, single-blinded, parallel groups randomized controlled trial (RCT) with repeated measures will be conducted. Participants scoring >10 on the Edinburgh Postnatal Depression Scale will be recruited from the larger P3 cohort and invited to enroll. Assessments will be conducted prior to 27 weeks' gestation at trial intake (T1), post-intervention, prior to delivery (T2), 5-6 months postpartum (T3), and 11-12 months postpartum (T4) and will include self-report questionnaires and linked medical records. DISCUSSION: Our remote, peer paraprofessional-delivered behavioural activation plus peer support intervention has the potential to successfully reduce symptoms of AD, which may in turn decrease the risk of PTB and subsequent health impacts. The current trial builds on previous findings and uses a patient-oriented approach to address priorities for patient care and to provide a cost-effective, accessible, and evidence-based treatment to pregnant individuals with AD. TRIAL REGISTRATION: International Standard Randomised Controlled Trial Number (ISRCTN) registry (ISRCTN51098220) ISRCTN51098220. Registered on April 7, 2022.

Building Emotional Awareness and Mental Health (BEAM): an open-pilot and feasibility study of a digital mental health and parenting intervention for mothers of infants.

BACKGROUND: Maternal mental health concerns and parenting stress in the first few years following childbirth are common and pose significant risks to maternal and child well-being. The COVID-19 pandemic has led to increases in maternal depression and anxiety and has presented unique parenting stressors. Although early intervention is crucial, there are significant barriers to accessing care. METHODS: To inform a larger randomized controlled trial, the current open-pilot trial investigated initial evidence for the feasibility, acceptability, and efficacy of a newly developed online group therapy and app-based mental health and parenting program (BEAM) for mothers of infants. Forty-six mothers 18 years or older with clinically elevated depression scores, with an infant aged 6-17 months old, and who lived in Manitoba or Alberta were enrolled in the 10-week program (starting in July 2021) and completed self-report surveys. RESULTS: The majority of participants engaged in each of the program components at least once and participants indicated relatively high levels of app satisfaction, ease of use, and usefulness. However, there was a high level of attrition (46%). Paired-sample t-tests indicated significant pre- to post-intervention change in maternal depression, anxiety, and parenting stress, and in child internalizing, but not externalizing symptoms. Effect sizes were in the medium to high range, with the largest effect size observed for depressive symptoms (Cohen's d = .93). DISCUSSION: This study shows moderate levels of feasibility and strong preliminary efficacy of the BEAM program. Limitations to program design and delivery are being addressed for testing in adequately powered follow-up trials of the BEAM program for mothers of infants. TRIAL REGISTRATION: NCT04772677 . Registered on February 26 2021.

Trait mindfulness and sleep: Interactions between observing and nonreactivity in the association with sleep health.

The current study investigated the associations between trait mindfulness and sleep health and examined the interactions between theoretically related mindfulness subscales. Participants (n = 162, Mage = 19.93) reported trait levels of mindfulness and sleep was assessed using questionnaires and actigraphy. Higher mindfulness scores in awareness, nonreactivity, and nonjudgment were associated with better sleep health. The associations between observing and sleep health were moderated by nonreactivity. Results indicate that observing is associated with better sleep health at higher levels of nonreactivity and worse sleep health at lower levels, helping to explain the often-contradictory findings between observing and health outcomes.

Building Emotional Awareness and Mental Health (BEAM): study protocol for a phase III randomized controlled trial of the BEAM app-based program for mothers of children 18-36 months.

BACKGROUND: The prevalence of maternal depression and anxiety has increased during the COVID-19 pandemic, and pregnant individuals are experiencing concerningly elevated levels of mental health symptoms worldwide. Many individuals may now be at heightened risk of postpartum mental health disorders. There are significant concerns that a cohort of children may be at-risk for impaired self-regulation and mental illness due to elevated exposure to perinatal mental illness. With both an increased prevalence of depression and limited availability of services due to the pandemic, there is an urgent need for accessible eHealth interventions for mothers of young children. The aims of this trial are to evaluate the efficacy of the Building Emotion Awareness and Mental Health (BEAM) app-based program for reducing maternal depression symptoms (primary outcome) and improve anxiety symptoms, parenting stress, family relationships, and mother and child functioning (secondary outcomes) compared to treatment as usual (TAU). METHODS: A two-arm randomized controlled trial (RCT) with repeated measures will be used to evaluate the efficacy of the BEAM intervention compared to TAU among a sample of 140 mothers with children aged 18 to 36 months, who self-report moderate-to-severe symptoms of depression and/or anxiety. Individuals will be recruited online, and those randomized to the treatment group will participate in 10 weeks of psychoeducation modules, an online social support forum, and weekly group teletherapy sessions. Assessments will occur at 18-36 months postpartum (pre-test, T1), immediately after the last week of the BEAM intervention (post-test, T2), and at 3 months after the intervention (follow-up, T3). DISCUSSION: eHealth interventions have the potential to address elevated maternal mental health symptoms, parenting stress, and child functioning concerns during and after the COVID-19 pandemic and to provide accessible programming to mothers who are in need of support. This RCT will build on an open pilot trial of the BEAM program and provide further evaluation of this evidence-based intervention. Findings will increase our understanding of depression in mothers with young children and reveal the potential for long-term improvements in maternal and child health and family well-being. TRIAL REGISTRATION: ClinicalTrials.gov NCT05306626 . Registered on April 1, 2022.

Sex and gender terminology: a glossary for gender-inclusive epidemiology.

There is increased interest in inclusion, diversity and representativeness in epidemiological and community health research. Despite this progress, misunderstanding and conflation of sex and gender have precluded both the accurate description of sex and gender as sample demographics and their inclusion in scientific enquiry aiming to distinguish health disparities due to biological systems, gendered experiences or their social and environmental interactions. The present glossary aims to define and improve understanding of current sex-related and gender-related terminology as an important step to gender-inclusive epidemiological research. Effectively, a proper understanding of sex, gender and their subtleties as well as acknowledgement and inclusion of diverse gender identities and modalities can make epidemiology not only more equitable, but also more scientifically accurate and representative. In turn, this can improve public health efforts aimed at promoting the well-being of all communities and reducing health inequities.

Gender-inclusive writing for epidemiological research on pregnancy.

People who have a uterus but are not cisgender women may carry pregnancies. Unfortunately, to date, academic language surrounding pregnancy remains largely (cis) woman-centric. The exclusion of gender-diverse people in the language of pregnancy research in English is pervasive. In reviewing a random sample of 500 recent articles on pregnancy or pregnant populations across health research fields, we found that only 1.2% of articles used gender-inclusive language (none of them in epidemiology), while the remaining 98.8% used (cis) woman-centric language. First and foremost, recent recommendations highlight the need to include trans, non-binary and gender-diverse people in study design. Meanwhile, there remains a lack of awareness that all research on pregnancy can contribute to inclusiveness, including in dissemination and retroactive description. We explain how the ubiquitous use of (cis) woman-centric language in pregnancy-related research contributes to (1) the erasure of gender diversity; (2) inaccurate scientific communication and (3) negative societal impacts, such as perpetuating the use of exclusionary language by students, practitioners, clinicians, policy-makers and the media. We follow with recommendations for gender-inclusive language in every section (ie, introductions, methods, results, discussions) of epidemiological articles on pregnant populations. The erasure of gender-diverse people in the rhetoric of research about pregnant people can be addressed immediately, including in the dissemination of results from ongoing studies that did not take gender diversity into consideration. This makes gender-inclusive language a crucial first step towards the inclusion of gender-diverse people in epidemiological research on pregnant people and other health research more globally.