Prospective and dyadic associations between expectant parents’ prenatal hormone changes and postpartum parenting outcomes

During the transition to parenthood, both men and women experience hormone changes that are thought to promote parental care. Yet very few studies have explicitly tested the hypothesis that prenatal hormone changes are associated with postpartum parenting behavior. In a longitudinal study of 27 first‐time expectant couples, we assessed whether prenatal hormone changes were moderated by self‐ and partner‐reported parenting outcomes at 3 months postpartum. Expectant fathers showed prenatal declines in testosterone and estradiol, and larger declines in these hormones were associated with greater contributions to household and infant care tasks postpartum. Women whose partners showed larger testosterone declines also reported receiving more support and more help with household tasks. Expectant mothers showed prenatal increases in testosterone and estradiol, and larger increases in these hormones were associated with lower partner‐rated support. Together, our findings provide some of the first evidence that prenatal hormone changes may indeed be functional and that the implications of these changes may be detectable by co‐parents.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/135629/1/dev21469_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/135629/2/dev21469.pd

The transition to parenthood in obstetrics: Enhancing prenatal care for 2-generation impact

Obstetrics, the specialty overseeing infant and parent health before birth, could be expanded to address the interrelated areas of parents\u27 prenatal impact on children\u27s brain development and their own psychosocial needs during a time of immense change and neuroplasticity. Obstetrics is primed for the shift that is happening in pediatrics, which is moving from its traditional focus on physical health to a coordinated, whole-child, 2- or multigeneration approach. Pediatric care now includes developmental screening, parenting education, parent coaching, access to developmental specialists, brain-building caregiving skills, linkages to community resources, and tiered interventions with psychologists. Drawing on decades of developmental origins of health and disease research highlighting the prenatal beginnings of future health and new studies on the transition to parenthood describing adult development from pregnancy to early postpartum, we have proposed that, similar to pediatrics, the integration of education and intervention strategies into the prenatal care ecosystem should be tested for its potential to improve child cognitive and social-emotional development and parental mental health. Pediatric care programs can serve as models of change for the systematic development, testing and, incorporation of new content into prenatal care as universal, first-tier treatment and evidenced-based, triaged interventions according to the level of need. To promote optimal beginnings for the whole family, we have proposed an augmented prenatal care ecosystem that aligns with, and could build on, current major efforts to enhance perinatal care individualization through consideration of medical, social, and structural determinants of health

Assessing the scholarly impact of health psychology: A citation analysis of articles published from 1993 to 2003.

ObjectiveWe conducted a citation analysis to explore the impact of articles published in Health Psychology and determine whether the journal is fulfilling its stated mission.DesignSix years of articles (N = 408) representing three editorial tenures from 1993-2003 were selected for analysis.Main outcome measuresArticles were coded for several dimensions enabling examination of the relationship of article features to subsequent citations rates. Journals citing articles published in Health Psychology were classified into four categories: (1) psychology, (2) medicine, (3) public health and health policy, and (4) other journals.ResultsThe majority of citations of Health Psychology articles were in psychology journals, followed closely by medical journals. Studies reporting data collected from college students, and discussing the theoretical implications of findings, were more likely to be cited in psychology journals, whereas studies reporting data from clinical populations, and discussing the practice implications of findings, were more likely to be cited in medical journals. Time since publication and page length were both associated with increased citation counts, and review articles were cited more frequently than observational studies.ConclusionArticles published in Health Psychology have a wide reach, informing psychology, medicine, public health and health policy. Certain characteristics of articles affect their subsequent pattern of citation

Best practices in research mentoring in clinical science.

The growth of clinical science as a field depends on the work of engaged mentors nurturing future generations of scientists. Effective research mentoring has been shown to predict positive outcomes, including greater scholarly productivity, reduced attrition, and increased satisfaction with training and/or employment, which ultimately may enhance the quality of the clinical-science research enterprise. Barriers to effective research mentoring, however, pose significant challenges for both mentees and mentors, as well as for labs, training programs, and/or departments. We discuss some key issues as they apply to clinical-science mentoring and note how they are affected across different developmental levels (undergraduate, postbaccalaureate, doctoral, internship, postdoctoral associates, and early career faculty). Although we do not proclaim expertise on these issues-and have struggled with them in our own careers-we believe an open discussion around best mentoring practices will enhance our collective effectiveness and help mentees and our field to flourish. (PsycINFO Database Record (c) 2019 APA, all rights reserved)

Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies

Given the powerful implications of relationship quality for health and well-being, a central mission of relationship science is explaining why some romantic relationships thrive more than others. This large-scale project used machine learning (i.e., Random Forests) to 1) quantify the extent to which relationship quality is predictable and 2) identify which constructs reliably predict relationship quality. Across 43 dyadic longitudinal datasets from 29 laboratories, the top relationship-specific predictors of relationship quality were perceived-partner commitment, appreciation, sexual satisfaction, perceived-partner satisfaction, and conflict. The top individual-difference predictors were life satisfaction, negative affect, depression, attachment avoidance, and attachment anxiety. Overall, relationship-specific variables predicted up to 45% of variance at baseline, and up to 18% of variance at the end of each study. Individual differences also performed well (21% and 12%, respectively). Actor-reported variables (i.e., own relationship-specific and individual-difference variables) predicted two to four times more variance than partner-reported variables (i.e., the partner’s ratings on those variables). Importantly, individual differences and partner reports had no predictive effects beyond actor-reported relationship-specific variables alone. These findings imply that the sum of all individual differences and partner experiences exert their influence on relationship quality via a person’s own relationship-specific experiences, and effects due to moderation by individual differences and moderation by partner-reports may be quite small. Finally, relationship-quality change (i.e., increases or decreases in relationship quality over the course of a study) was largely unpredictable from any combination of self-report variables. This collective effort should guide future models of relationships

Maternal prenatal plasma oxytocin is positively associated with prenatal psychological symptoms, but method of immunoassay extraction may affect results

•We measured plasma oxytocin in 75 first-time expectant mothers.•Oxytocin was measured via two immunoassay methods: with and without extraction.•Oxytocin levels measured with and without extraction were not correlated.•Unextracted & extracted oxytocin were positively correlated with depressive symptoms.•Oxytocin levels measured without extraction were positively correlated with anxiety. We examined associations between prenatal plasma oxytocin levels and depressive symptoms, state anxiety, and pregnancy anxiety in 75 women who visited the laboratory with their partners during mid-to-late pregnancy and engaged in relationship discussion tasks prior to a blood draw. Given controversy in the literature regarding oxytocin measurement, we compared two widely-used immunoassay approaches (with and without extraction prior to immunoassay). Levels of immunoreactive oxytocin measured with and without extraction were not correlated with each other. However, both extracted and unextracted oxytocin were positively associated with women’s prenatal depressive symptoms in a model that controlled for pregnancy stage and body mass index. Only unextracted oxytocin was associated with state anxiety and pregnancy-specific anxiety. In summary, elevated plasma oxytocin levels in expectant mothers might indicate risk for mental health symptoms during the prenatal period, but results for anxiety are mixed and appear to depend on the immunoassay approach employed

Postpartum Depressive Symptoms Following Consecutive Pregnancies: Stability, Change, and Mechanisms.

Postpartum depression is a major mental health issue for women and society. We examined stability and change in symptoms of depression over two consecutive pregnancies and tested life stress as a potential mechanism. The Community Child Health Network followed an ethnically/racially diverse sample from one month after a birth for two years. A subset of 228 women had a second birth. Interview measures of depression symptoms (EPDS) and life stress (life events, perceived stress, chronic stress, interpersonal aggression) were obtained during home visits. Three-quarters of the sample showed intra-individual stability in depressive symptoms from one postpartum period to the next, and 24% of the sample had clinically significant symptoms after at least one pregnancy (9% first, 7.5% second, 3.5% both). Each of the four life stressors significantly mediated the association between depressive symptoms across two postpartum periods. Stress between pregnancies for women may be an important mechanism perpetuating postpartum depression