Rurality and Risk of Perinatal Depression Among Women in the United States

Maternal Sleep Health, Social Support, and Distress: A Mixed-Methods Analysis of Mothers of Infants and Young Children in Rural US

OBJECTIVES

The purpose of this study was to explore sleep health in rural maternal populations through a social-ecological framework and identify risk and protective factors for this population.

METHODS

39 individuals who are mothers of infants or children under the age of 5 years completed an online survey, 35 of which completed a subsequent semi-structured interview. Recruitment was limited to one rural community and was in partnership with community healthcare providers. Results were integrated using a convergent, parallel mixed-methods design.

RESULTS

Poor sleep health and high prevalence of insomnia symptoms in rural mothers were evident and associated with social support and maternal distress. Qualitative content from interviews indicated that well-established precipitating and perpetuating factors for insomnia may contribute to poor maternal sleep health. Results also revealed a gap in knowledge and language surrounding sleep health among rural mothers.

CONCLUSIONS

Sleep health is challenged during the transition to motherhood and rural mothers have less access to specialized perinatal and behavioral health care than their urban counterparts. In this sample, poor sleep was attributable to distress in addition to nocturnal infant and child sleep patterns which has implications for psychoeducation and promotion of sleep health in mothers. Sleep is a modifiable health indicator that is associated with several other maternal health outcomes and should be considered an element of a comprehensive maternal health for prevention and intervention across individual, interpersonal, and societal domains of the social-ecological model of sleep health.

Disparities in Screening and Treatment Patterns for Depression and Anxiety During Pregnancy: An Integrative Review

INTRODUCTION

Symptoms of untreated depression and anxiety during pregnancy are associated with serious adverse effects for the pregnant person, birth outcomes, and child development. However, pregnant persons are less likely to be screened and treated compared with nonpregnant people. In this systematic review, we aimed to explore individual, provider, and systems factors that impact screening, identification, and treatment patterns for depression and anxiety during pregnancy.

METHODS

Studies were eligible for inclusion if they were conducted within the United States and published in English between January 2012 and January 2023. Each study included analysis that compared rates of screening, identification, or treatment engagement and explicitly discussed disparities or health equity in marginalized groups. Fifteen articles met full inclusion criteria.

RESULTS

Results demonstrated variation in the screening, identification, and treatment of depression and anxiety during pregnancy among diverse groups of patients. Screening rates ranged from 51.3% in Puerto Rico to 90.7% in Alaska. Among specific clinical populations, rates were as low as 2.0%. Fewer than half of patients were referred to treatment when indicated by screening or diagnoses. Patient characteristics such as age, race, ethnicity, socioeconomic and health factors, mental health history, and obesity were associated with variation in the rates of screening, diagnoses, or treatment engagement. Language factors were the most common factor associated with lower rates of screening and treatment access.

DISCUSSION

Results suggest that many pregnant people are being overlooked and lack appropriate referrals or resources to access treatment. Results are consistent with previous findings that role confusion and lack of time, provider training, and interest contribute to low rates of screening and treatment. Future research must focus on system level factors to address perceived barriers to screening and treating depression and anxiety during pregnancy in a systematic and equitable way.

Barriers to help-seeking for postpartum depression mapped onto the socio-ecological model and recommendations to address barriers

Postpartum depression affects nearly a quarter of women up to a year after childbirth. Although it is treatable, significant barriers to help-seeking prevent women from being treated. This paper assesses key literature on the barriers for help-seeking among women with postpartum depression. The barriers identified have been mapped onto the socio-ecological model in addition to potential recommendations that professionals can use to address barriers on individual, interpersonal, organizational, community and societal levels. The recommendations provided are meant to serve as leverage points for professionals in efforts to create appropriate support and interventions. As such, this paper serves as a mapping tool for healthcare and public health professionals to assess obstacles to women's help-seeking and to guide multi-pronged interventions on various levels of the socio-ecological model that may increase help-seeking among women with postpartum depression. Holistically and comprehensively providing support to women will require significant effort throughout all sectors of society as opposed to isolated, siloed interventions.

Association between digital engagement and urban-rural disparities in Chinese women's depressive symptoms: A national-level cross-sectional study

Objectives

This study aims to investigate the impact of digital engagement on urban-rural disparities in depressive symptoms among Chinese women.

Methods

Using a dataset from the China Family Panel Studies (CFPS) wave 2020, this study analyzes the impact of digital engagement on the urban-rural disparity in women's depressive symptoms using multiple linear regression and recentered influence function (RIF) models. Furthermore, the extent to which digital engagement affects the urban-rural disparity in women's depressive symptoms was calculated using the RIF decomposition method.

Results

Analysis showed that rural women had significantly higher levels of depressive symptoms compared to urban women; digital engagement significantly reduced women's depressive symptoms levels and mitigated the urban-rural disparity for women with moderate to high levels of depressive symptoms, and the mitigating effect was stronger for the highly depressed sample, but still widened the urban-rural disparity in women's depressive symptoms overall. In addition, the results of the RIF decomposition showed that digital engagement explained 28.28% of the urban-rural disparity in women's depressive symptoms.

Conclusion

There is a significant disparity in depressive symptoms levels between urban and rural women in China. Digital engagement reduces women's depressive symptoms, but it also widens the depressive symptoms disparity between urban and rural women overall. Digital engagement is potentially positive for reducing women's depressive symptoms.

Rural/urban differences in health care utilization and costs by perinatal depression status among commercial enrollees

PURPOSE

To understand differences in health care utilization and medical expenditures by perinatal depression (PND) status during pregnancy and 1-year postpartum overall and by rural/urban status.

METHODS

We estimated differences in health care utilization and medical expenditures by PND status for individuals with an inpatient live-birth delivery in 2017, continuously enrolled in commercial insurance from 3 months before pregnancy through 1-year postpartum (study period), using MarketScan Commercial Claims data. Multivariable regression was used to examine differences by rurality.

FINDINGS

Ten percent of commercially insured individuals had claims with PND. A smaller proportion of rural (8.7%) versus urban residents (10.0%) had a depression diagnosis (p < 0.0001). Of those with PND, a smaller proportion of rural (5.5%) versus urban residents (9.6%) had a depression claim 3 months before pregnancy (p < 0.0001). Compared with urban residents, rural residents had greater differences by PND status in total inpatient days (rural: 0.7, 95% confidence interval [CI]: 0.6-0.9 vs. urban: 0.5, 95% CI: 0.5-0.6) and emergency department (ED) visits (rural: 0.7, 95% CI: 0.6-0.9 vs. urban: 0.5, 95% CI: 0.4-0.5), but a smaller difference by PND status in the number of outpatient visits (rural: 9.2, 95% CI: 8.2-10.2 vs. urban: 13.1, 95% CI: 12.7-13.5). Differences in expenditures for inpatient services by PND status differed by rural/urban status (rural: $2654; 95% CI: $1823-$3485 vs. urban: $1786; 95% CI: $1445-$2127).

CONCLUSIONS

Commercially insured rural residents had more utilization for inpatient and ED services and less utilization for outpatient services. Rural locations can present barriers to evidence-based care to address PND.

Correlates of maternal depression, anxiety and functioning across an urban-rural gradient in northern Ecuador

Maternal depression remains under characterised in many low- and middle-income countries, especially in rural settings. We aimed to describe maternal depression and anxiety symptoms in rural and urban communities in northern Ecuador and to identify socioeconomic and demographic factors associated with these symptoms. Data from 508 mothers participating in a longitudinal cohort study were included. Depression and anxiety symptoms were assessed using the Hopkins Symptom Checklist (HSCL-25), and maternal psychological functioning was assessed using a checklist of daily activities. Tobit regression models were used to examine associations with sociodemographic variables and urbanicity. The median HSCL-25 score was 1.2 (IQR: 0.4) and 14% of women scored above the threshold for clinically relevant symptoms. Rural women reported similar food insecurity, less education, younger age of first pregnancy, and lower socio-economic status compared to their urban counterparts. After adjusting for these factors, rural women reported lower HSCL-25 scores compared to women lin urban areas (β = -0.48, 95%CI:0.65, -0.31). Rural residence was also associated with lower depression and anxiety HSCL-25 sub-scale scores, and similar levels of maternal functioning, compared to urban residence. Our results suggest that both household and community-level factors are risk factors for maternal depression and anxiety in this context.

Mental Health Within 24 Months After Delivery Among Women with Common Pregnancy Conditions

Objective: The aim of this study is to estimate the risk of a new mental health diagnosis within the first 24 months postpartum among women with common pregnancy conditions, overall and by rurality. Materials and Methods: This longitudinal population-based study used the Maine Health Data Organization's All-Payer Claims Data to estimate the cumulative risk of a new mental health disorder diagnosis in the first 24 months postpartum among women with deliveries during 2007-2019 and who did not have a mental health diagnosis before pregnancy. Cox models were used to estimate hazard ratios for common pregnancy conditions (prenatal depression, gestational diabetes [GDM], and hypertensive disorders of pregnancy [HDP]) on the new diagnosis of five mental health conditions, separately. Models were adjusted for maternal demographics and pregnancy characteristics. Results: Of the 123,125 deliveries, the cumulative risk of being diagnosed in the first 24 months postpartum with depression was 28%, anxiety 25%, bipolar disorder 3%, post-traumatic stress disorder 6%, and schizophrenia/psychotic disorder 1%. Women with prenatal depression were at higher risk of having a postpartum mental health diagnosis compared with women without prenatal depression (adjusted hazard ratios [aHRs] ranged from 2.5 [for anxiety] to 4.1 [for postpartum depression]). Risk of having postpartum depression was modestly higher among women with HDP, as was the risk of postpartum bipolar disorder among those with GDM. Findings were generally similar between women living in rural versus urban areas. Conclusions: Effective interventions to prevent, screen, and treat mental health conditions among women with pregnancy complications for an extended time postpartum are warranted.

How prenatal cortisol levels relate to grandmother-mother relationships among a cohort of Latina women

INTRODUCTION

As part of the human reproductive strategy, mothers receive childcare assistance from others. For kin, allomothers are adaptively incentivized to provide assistance due to inclusive fitness benefits. Previous studies across a broad range of populations identify grandmothers as particularly consistent allomothers. Minimal attention has been paid to the possibility that allomothers may begin investing in offspring quality during the prenatal stage of life. Here, we innovate within the area of grandmother allocare research by examining the prenatal stage of life and biopsychosocial mechanisms by which prenatal grandmother effects may be enacted.

METHODS

Data derive from the Mothers' Cultural Experiences study, a cohort of 107 pregnant Latina women in Southern California. At <16 weeks' gestation, we administered questionnaires, collected morning urine samples, and measured cortisol by enzyme-linked immunosorbent assay, correcting for specific gravity. We measured the soon-to-be maternal and paternal grandmothers' relationship quality, social support, frequency of seeing each other, communicating, and geographic proximity to pregnant mothers, that is, their daughters and daughters-in-law. These measures were self-reported by the pregnant mothers. We assessed how grandmother constructs related to the pregnant women's depression, stress, anxiety, and cortisol levels.

RESULTS

We observed benefits conferred by maternal grandmothers for mothers' prenatal mental health and lower cortisol levels. Paternal grandmothers also conferred mental health benefits to pregnant daughters-in-law, but higher cortisol levels.

CONCLUSION

Our results suggest that grandmothers, especially maternal grandmothers, are able to improve their inclusive fitness by caring for pregnant daughters, and allomother support may positively impact prenatal health. This work extends the traditional cooperative breeding model by identifying a prenatal grandmother effect, and, by examining a maternal biomarker.

Social and Behavioral Problems in School-Aged Children After Maternal Postpartum Depression: A Secondary Analysis of Future of Families and Child Wellbeing Study

OBJECTIVES

To examine the relation between perinatal depression at child age 1 year and behavioral issues and altered social functioning at school age.

METHODS

The Future of Families (formerly Fragile Families) and Child Wellbeing Study longitudinal cohort age 9 nationally representative urban sample was used to examine associations between maternal depression at child age 1 and child behavior and social functioning at age 9 (n = 2,305 children and their mothers). Measures included the Composite International Diagnostics Interview (depression), Child Behavior Checklist total score (child behavior problems) and social function subscale. Clinical significance of child behavior problems and social function problems were determined by normed T-scores. Analyses included chi square, t-tests, and linear regression using SAS 9.4 Survey procedures.

RESULTS

Higher household income was associated with lower behavior problem scores (F = 8.76, p < 0.0001, R2 = 0.07. School-aged children whose mothers had major depression at child age 1 (10.8%) were more than twice as likely to have clinically significant behavior problems (OR 2.46, p < 0.0001) than children whose mothers did not have depression (4.1%). Further, children with depressed mothers were more than twice as likely to have clinically significant social function problems than children whose mothers were not depressed (OR = 2.09, p < 0.0001).

CONCLUSIONS FOR PRACTICE

Children whose mothers were depressed at child age 1 have higher risk of having behavior problems and poor social functioning at age 9. Early and repeated maternal depression screening is needed to treat the disease sooner and attempt to avoid these outcomes.

Prevalence and Risk Factors of Depression and Anxiety among Women in the Last Trimester of Pregnancy: A Cross-Sectional Study

Pregnancy represents a psychologically and emotionally vulnerable period, and research indicates that pregnant women have a higher prevalence of symptoms of anxiety and depression, debunking the myth that hormonal changes associated with pregnancy protect the mother. In recent years, several researchers have focused on the study of prenatal anxiety/depression-emotional disorders manifested by mood lability and low interest in activities-with a high prevalence. The main objective of this research was to conduct an antenatal screening in a cohort of pregnant women hospitalized for delivery in order to assess the prevalence of anxiety and depression. The secondary objective was to identify the risk factors associated with depression and anxiety in women in the third trimester of pregnancy. We carried out a prospective study in which we evaluated 215 pregnant women in the third trimester of pregnancy hospitalized for childbirth at the Obstetrics and Gynecology Clinic of the Târgu-Mureș County Clinical Hospital. The research was carried out between December 2019 and December 2021. The results showed that age and the environment of origin are the strongest predictors of mental health during pregnancy (OR = 0.904, 95%CI: 0.826-0.991; p = 0.029). For women from urban areas, there is an increased probability of falling at a higher level on the dependent variable (moderate depression) (OR = 2.454, 95%CI: 1.086-5.545; p = 0.032). In terms of health behaviors, none of the variables were statistically significant predictors of the outcome variable. The study highlights the importance of monitoring mental health during pregnancy and identifying relevant risk factors to provide appropriate care to pregnant women and the need for interventions to support the mental health of pregnant women. Especially in Romania, where there is no antenatal or postnatal screening for depression or other mental health conditions, these results could be used to encourage the implementation of such screening programs and appropriate interventions.

Rurality as a predictor of perinatal mental health and well-being in an Australian cohort

OBJECTIVE

Perinatal emotional well-being is more than the presence or absence of depressive and anxiety disorders; it encompasses a wide range of factors that contribute to emotional well-being. This study compares perinatal well-being between women living in metropolitan and rural regions.

DESIGN

Prospective, longitudinal cohort.

PARTICIPANTS/SETTING

Eight hundred and six women from Victoria and Western Australia recruited before 20 weeks of pregnancy and followed up to 12 months postpartum.

MAIN OUTCOME MEASURES

Rurality was assessed using the Modified Monash Model (MM Model) with 578 in metropolitan cities MM1, 185 in regional and large rural towns MM2-MM3 and 43 in rural to remote MM4-MM7. The Structured Clinical Interview for DSM-IV (SCID-IV) was administered at recruitment to assess depression, and symptoms of depression and anxiety were measured using the Edinburgh Post-natal Depression Scale and the State and Trait Anxiety Scale, respectively. Other measures included stressful events, diet, exercise, partner support, parenting and sleep.

RESULTS

The prevalence of depressive disorders did not differ across rurality. There was also no difference in breastfeeding cessation, exercise, sleep or partner support. Women living in rural communities and who also had depression reported significantly higher parenting stress than metropolitan women and lower access to parenting activities.

CONCLUSIONS

Our study suggests while many of the challenges of the perinatal period were shared between women in all areas, there were important differences in parenting stress and access to activities. Furthermore, these findings suggest that guidelines and interventions designed for perinatal mental health should consider rurality.

Perinatal Women's Views of Pharmacist-Delivered Perinatal Depression Screening: A Qualitative Study

Internationally, 20% of women experience perinatal depression (PND). Healthcare providers including general practitioners and midwives are critical in providing PND screening and support; however, the current workforce is unable to meet growing demands for PND care. As accessible and trusted primary healthcare professionals, pharmacists could provide PND care to complement existing services, thereby contributing to early detection and intervention. This study aimed to explore perinatal women's views of community pharmacist-delivered PND screening and care, with a focus on their attitudes towards and acceptability of PND screening implementation in community pharmacy. Semi-structured interviews with women (n = 41) were undertaken, whereby interview data were transcribed verbatim and then inductively and thematically analysed. Five overarching themes emerged; "patient experience with existing PND support and screening services"; "familiarity with pharmacists' roles"; "pharmacist visibility in PND screening care"; "patient-pharmacist relationships" and "factors influencing service accessibility". Themes and subthemes were mapped to the Consolidated Framework for Implementation Research. Findings highlight participants' generally positive attitudes towards community pharmacist-delivered PND screening and care, and the potential acceptability of such services provided pharmacists are trained and referral pathways are established. Addressing perceived barriers and facilitators would allow community pharmacist-delivered PND screening and care to support existing PND care models.

Rural Maternal Health Care Outcomes, Drivers, and Patient Perspectives

Rural communities are a vital segment of the US population; however, these communities are shrinking, and their population is aging. Rural women experience health disparities including increased risk of maternal morbidity and mortality. In this article, we will explore these trends and their determinants both within and external to the health care system. Health care providers, public health professionals, and policymakers should be aware of these social and structural factors that influence health outcomes and take action to reduce generational cycles of health disparity. Opportunities to improve the health and pregnancy outcomes for rural women and rural populations are highlighted.

Racial/Ethnic Disparities in Postpartum Health Insurance Coverage Among Rural and Urban U.S. Residents

Objective: Half of maternal deaths occur during the postpartum year, with data suggesting greater risks among Black, Indigenous, and people of color (BIPOC) and rural residents. Being insured after childbirth improves postpartum health-related outcomes, and recent policy efforts focus on extending postpartum Medicaid coverage from 60 days to 1 year postpartum. The purpose of this study is to describe postpartum health insurance coverage for rural and urban U.S. residents who are BIPOC compared to those who are white. Materials and Methods: Using data from the 2016-2019 Pregnancy Risk Assessment Monitoring System (n = 150,273), we describe health insurance coverage categorized as Medicaid, commercial, or uninsured at the time of childbirth and postpartum. We measured continuity of insurance coverage across these periods, focusing on postpartum Medicaid disruptions. Analyses were conducted among white and BIPOC residents from rural and urban U.S. counties. Results: Three-quarters (75.3%) of rural white people and 85.3% of urban white people were continuously insured from childbirth to postpartum, compared to 60.5% of rural BIPOC people and 65.6% of urban BIPOC people. Postpartum insurance disruptions were frequent among people with Medicaid coverage at childbirth, particularly among BIPOC individuals, compared to those with private insurance; 17.0% of rural BIPOC residents had Medicaid at birth and became uninsured postpartum compared with 3.4% of urban white people. Conclusions: Health insurance coverage at childbirth, postpartum, and across these timepoints varies by race/ethnicity and rural compared with urban residents. Policy efforts to extend postpartum Medicaid coverage may reduce inequities at the intersection of racial/ethnic identity and rural geography.

The MI-PHOTOS Project: Understanding the Health and Wellbeing of Rural Historically Marginalized Mothers Through Photovoice

Despite the persistent health inequities faced by rural women in the United States, few researchers have partnered with women in rural communities to co-create sustainable change. To fill this gap, Mothers Improving Pregnancy and Postpartum Health Outcomes Through stOry Sharing (MI-PHOTOS) employed a community-based participatory research (CBPR) approach by partnering with mothers, community leaders, and community-based organizations in Robeson County, North Carolina, a rural, racially diverse county. The project's aims were (a) to promote maternal health by listening to mothers' stories of having and raising children in their community and (b) to develop a shared understanding of these mothers' strengths and challenges. MI-PHOTOS utilized photovoice, an exploratory and qualitative CBPR methodology. Grounded theory guided data analysis. During photovoice discussions, conversation focused on maternal experiences and evoked strengths, facilitators, and barriers impacting maternal health. Themes focused on (a) MI-PHOTOS serving as a social support group for the community and family stressors that mothers faced and (b) the necessity of professional support programs. Three overarching findings emerged during this process: (a) MI-PHOTOS as an informal support group, (b) mental health stigmatization, and (c) the need to bridge home visiting programs with peer and confidential therapeutic services. Future work should incorporate mothers' and communities' strengths into program development by drawing on existing home visiting programs, identifying opportunities for peer-support, and creating referral networks for individual, confidential therapeutic services. Through continued community partnership, we can generate fuller understandings of mothers' experiences of having and raising children and ultimately promote health equity among rural mothers.

Regional Differences in Various Risk Factors for Postpartum Depression: Applying Mixed Models to the PRAMS Dataset

Purpose: The purpose of this study was to assess the association between various risk factors with postpartum depression severity using a large dataset that included variables such as previous mental health status, social factors, societal factors, health care access, and other state-wide or region-specific variables.

Methods: We obtained the most recently available (2016–2017) dataset from the Pregnancy Risk Assessment Monitoring System (PRAMS), which is a dataset compiled by the Centers for Disease Control (CDC) that collects state-specific, population-based data on maternal attitudes and experiences before, during, and shortly after pregnancy from over 73,000 women in 39 states. We utilized a hierarchical linear model to analyze the data across various levels, with a symptom severity scale (0–8) as the dependent variable.

Results: Of the 21 variables included in the final model, nine variables were statistically significant predictors of symptom severity. Statistically significant predictors of increased postpartum depression symptom severity included previous depression diagnosis and depression symptoms during pregnancy, baby not residing with mother, unintentional pregnancy, women with less than a high school degree and more than a college degree, Women Infants Children (WIC) enrollment, and married women. In contrast to these other factors, attendance at a postpartum follow up appointment was associated with significantly increased symptom severity. Age revealed an inverted curve in predicting postpartum symptom severity.

Conclusions: There was no significant difference in symptom severity scores across the 39 participating states. Most notably, postpartum depression symptom severity was associated with previous depression diagnosis and previous symptom severity, but our results also reveal novel social and education factors that contribute to the support and well-being of the mother and child.

Social-ecological considerations for the sleep health of rural mothers

Using a social-ecological framework, we identify social determinants that interact to influence sleep health, identify gaps in the literature, and make recommendations for targeting sleep health in rural mothers. Rural mothers experience unique challenges and protective factors in maintaining adequate sleep health during the postpartum and early maternal years. Geographic isolation, barriers to comprehensive behavioral medicine services, and intra-rural ethno-racial disparities are discussed at the societal (e.g., public policy), social (e.g., community) and individual levels (e.g., stress) of the social-ecological model. Research on sleep health would benefit from attention to methodological considerations of factors affecting rural mothers such as including parity in population-level analyses or applying community-based participatory research principles. Future sleep health programs would benefit from using existing social support networks to disseminate sleep health information, integrating behavioral health services into clinical care frameworks, and tailoring culturally-appropriate Telehealth/mHealth programs to enhance the sleep health of rural mothers.

Examining the Prevalence of Peripartum Depressive Symptoms in a Border Community

Introduction: Depression is one of the most common complications in pregnancy, affecting 10% to 20% of women. Untreated peripartum depression increases the risk of adverse life events, more considerable distress, homelessness, and illness later in life. This study explored the prevalence of peripartum depression and associated demographic characteristics in a population of low-income, Healthy Start program participants in one New Mexico county along the U.S.-Mexico border where knowledge of depression prevalence is lacking. Materials and Methods: Healthy Start caseworkers routinely administered the 10-item Edinburgh Postnatal Depression Scale (EPDS) to all pregnant and recently pregnant program participants between 2009 and 2017. Scores for the first prenatal screen, first postpartum screen, and all screens for 1453 women were studied. A score of >10 points out of a possible 30 indicated a positive screen. Screening outcome was examined in relation to age, race, ethnicity, primary language, and trimester of the prenatal screen. Crude and adjusted odds ratios were generated from logistic regression models. Results: Overall, 16.4% of women screened positive for depression. English-speaking women, non-Hispanic white women, and those ages >35 years were more likely to screen positive. Women >35 years also had higher odds of reporting thoughts of self-harm than younger women. Conclusion: In this low-income border population, non-Hispanic white, English-speaking women over the age of 35 were at the greatest risk of peripartum depression. These findings underscore the need for peripartum depression screening in this population.

Perceived social support and postpartum depression symptoms across geographical contexts: Findings from the 2016 Ohio Pregnancy Assessment survey

BACKGROUND

The purpose of this study was to examine the association between perceived social support and postpartum depression symptoms (PDS) and to understand how this association may differ for urban, suburban, rural Appalachian, and rural non-Appalachian women in Ohio.

METHODS

Data were obtained via the 2016 Ohio Pregnancy Assessment Survey (n = 3382), a representative sample of postpartum women in Ohio. We conducted bivariate analyses to assess the associations between self-perceived social support and PDS, and covariates. Univariate and multivariate logistic regressions were conducted using a modified Poisson distribution to estimate the association between social support and PDS, adjusting for sociodemographic characteristics. We also examined geographical context as an independent predictor of PDS and as an effect modifier for the association between social support and PDS.

RESULTS

15.6% of survey respondents experienced PDS. Women with low levels of social support had slightly higher prevalence (aPR: 1.4, 95% CI: 1.0-2.1) of PDS compared to women with high social support. Geographic context was an independent predictor of PDS; women in rural Appalachia had significantly lower prevalence (aPR: 0.5, 95% CI: 0.2-0.9) of PDS compared to women in urban areas. We did not find that geographical context modified the relationship between social support and PDS (Wald P = .5).

CONCLUSIONS

Low social support was associated with increased PDS but did not reach statistical significance. Women living in rural Appalachia had a lower prevalence of PDS. Future studies should explore the reasons for lower rates of PDS in rural Appalachia.

Treating postpartum depression in rural veterans using internet delivered CBT: program evaluation of MomMoodBooster

Depression in the postpartum period impacts approximately 13–26% of the general population. This number can be much higher for rural veteran women who face additional barriers to accessing specialized mental health services due to isolation and cultural factors. This study reports on a program evaluation of MomMoodBooster, a coach-supported internet-delivered CBT program for the treatment of maternal depression in veteran women. Repeated measures ANOVA, run with this sample of 326 women, demonstrated an overall positive effect size across outcome measures and engagement with no differences found between rural women and their urban counterparts. Some differences between urban and rural participants were found in total and average time spent with coaches as well as ratings of coach helpfulness, possibly indicating some cultural differences between coaches and rural women that need to be addressed. These results and the results of earlier trials suggest that MomMoodBooster can be a valid and efficacious option for reaching under-served veteran populations with specialized postpartum mental health support and is as effective with rural women as with urban women

Mexican pregnant women show higher depression and anxiety with rising age and in the case of being single

Background

Pregnancy is an important predisposition period to develop anxiety and depression, with a direct impact on the woman's offspring. The aim of this study was to report the correlation between depression and anxiety in pregnant women and its association with the marital status and age.

Materials

A  descriptive, retrospective and cross-sectional study was conducted in the outpatient care of the Psychology Service at the "Mónica Pretelini Sáenz" Maternal Perinatal Hospital (HMPMPS), Toluca, Mexico, from June 2012 to March 2019. As routine, the  Beck Depression Inventory (BDI-II) and the  Beck Anxiety Inventory-Trait (BAIT), were applied to all women seeking attention at the  HMPMPS. Only pregnant patients were selected for this study, with the women referred for the first time to the external Psychology Clinic as inclusion criteria. Pearson's correlation coefficient and the frequency of cases for age, BDI-II, and BAIT were obtained using the IBM SPSS Statistics ^® v.23 software.

Results

The  study included 2947 pregnant patients with a mean age of 28.6 ± 6.9 years. Of these, 2616 (88.8%) presented with mild anxiety, 269 (9.1%) with moderate, and 62 (2.1%) with severe anxiety. On the other hand, 2149 (72.9%) patients presented with minimal depression, 341 (11.6%) mild depression, 268 (9.1%) moderate depression, and 189 (6.4%) had severe depression. The correlations between age and BDI-II was -0.026 (P = 0.152), between age and BAI was -0.038 (P = 0.037), and between BAIT and BDI-II 0.650 (P ≤ 0.001).

Conclusions

The age group with the highest frequency of depression and anxiety was from 20 to 29 years. The absence of a stable partner represented an important risk factor for anxiety and depression during pregnancy.