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This study aims to determine the prevalence and predictors of postpartum depression (PPD) among nursing mothers in Nsukka, Nigeria.

This study was a descriptive cross-sectional survey among nursing mothers in three hospitals in Nsukka, Nigeria. Data was collected using a self-administered Edinburgh Postpartum Depression Scale (EPDS) and sociodemographic form. The data obtained were analyzed using descriptive statistics, chi-square test and binary logistic regression.

A total of 270 nursing mothers participated in this survey, giving a response rate of 94.4%. The prevalence of PPD among the study group was 20.0%. However, women who did not have complications during childbirth were about two times (AOR = 0.417, 95% CI = 0.204, 0.852, P = 0.016) less likely to develop symptoms of PPD than women who experienced birth complications. In addition, women who had poor relationships with their partners have approximately seven times (AOR = 6.994, 95% CI = 1.110, 44.059, P = 0.038) higher odds of developing PPD compared with those women who had excellent relationships with their partners.

The sample size was small, hence, might limit the generalizability of its findings beyond the study group. Health-care practitioners should provide appropriate interventions to women at a higher risk of developing PPD on the need to maintain a healthy and supportive relationship with their partners.

This study provides unique insight into PPD among nursing mothers and its determinants from a different regional, socioeconomic, societal expectations, social support system, access to health care and cultural context.

The study aims to investigate how pregnant and nursing mothers’ stories have been neglected in writing about gender, security and spaces.

The study chronicles Agogo Traditional Area’s pregnant and nursing mothers’ resistance and survival in this conflicted environment. The author used photo voices in a participatory photography design to give conflict-area women a voice. Interviews and observations supported this. Pregnant and nursing mothers were sampled using the purposive and snowball sampling techniques. The data analysis considered narrative analysis, photographic and inductive approaches.

The findings highlighted how these mothers in vicious settings experienced healthcare access and problems, societal issues including gender dynamics, food insecurity, and emotional and psychological well-being.

The findings in this study expand the socio-cultural narratives of pregnant and nursing mothers in violent spaces.

This study aims to measure the level of satisfaction among women with childbirth services provided at public health facilities. Further, to analyse the impact of their socio-economic and obstetric characteristics on their level of satisfaction.

To accomplish these objectives a cross-sectional survey was conducted in two districts of an Indian state, Bihar. Structured questionnaire was developed based on the scale proposed by Okumu and Oyugi (2018) both for vaginal and caesarean birth patients. For empirical analysis multiple linear regression model was employed.

Results suggest that majority of mothers are satisfied with the care they received during childbirth, regardless of whether they chose a caesarean (55%) or vaginal delivery (53%). Women report the lowest levels of satisfaction with postpartum care and the privacy that was preserved by healthcare personnel at health facility. Further the study also confirms the association between patient’s socio-economic characteristics and their satisfaction level.

This is the first study of its kind to highlight the situation of public healthcare system in Bihar, which is the third most populated state in India with poor social and health indicators.

This paper aims to understand the maternal health vulnerabilities of migrant women in slums and explore their challenges during and after childbirth.

The study used a qualitative approach, including in-depth interviews through purposive and snowball sampling techniques. Thematic analysis was used for analysing data. The consolidated criteria for reporting qualitative studies (COREQ)-32 items were followed for reporting this study.

The study found that migrant women were highly susceptible to adverse birthing outcomes due to risks involved in birthing, lack of care and hygiene, lack of skilled care in dealing with complicated pregnancies and exposure to domestic and obstetric violence.

The study intends to highlight the narratives of female migrants’ birthing and maternal health challenges. The entire process of childbirth in slums with consequences can result in maternal and infant morbidities and mortalities.

This study aims to examine the relationship between medication for opioid use disorder (MOUD) among pregnant individuals, referral source, mental health, political affiliation and substance use policies in all 50 states in the USA.

This study describes MOUD receipt among pregnant people with an opioid use disorder (OUD) in 2018. The authors explored sociodemographic differences in MOUD receipt, referrals and co-occurring mental health disorders. The authors included a comparison of MOUD receipt among states that have varying substance use policies and examined the impact of these policies and the political affiliation on MOUD. The authors used multilevel binary logistic regression to examine effects of individual and state-level characteristics on MOUD.

Among 8,790 pregnant admissions with OUD, the majority who received MOUD occurred in the Northeast region (71.52%), and 14.99% were referred by the criminal justice system (n = 1,318). Of those who were self-referred, 66.39% received MOUD, while only 30.8% of referrals from the criminal justice system received MOUD. Those referred from the criminal justice system or who had a co-occurring mental health disorder were least likely to receive MOUD. The multilevel model showed that while policies were not a significant predictor, a state’s political affiliation was a significant predictor of MOUD.

The study has some methodological limitations; a state-level analysis, even when considering the individual factors, may not provide sufficient description of community-level or other social factors that may influence MOUD receipt. This study adds to the growing literature on the ineffectiveness of prenatal substance use policies designed specifically to increase the use of MOUD. If such policies are consistently assessed as not contributing to substantial increase in MOUD among pregnant women over time, it is imperative to investigate potential mechanisms in these policies that may not facilitate MOUD access the way they are intended to.

Findings from this study aid in understanding the impact that a political affiliation may have on treatment access; states that leaned more Democratic were more likely to have higher rates of MOUD, and this finding can lead to research that focuses on how and why this contributes to greater treatment utilization. This study provides estimates of underutilization at a state level and the mechanisms that act as barriers, which is a stronger assessment of how state-specific policies and practices are performing in addressing prenatal substance use and a necessary step in implementing changes that can improve the links between pregnant women and MOUD.

To the best of the authors’ knowledge, this is the first study to explore individual-level factors that include mental health and referral sources to treatment that lead to MOUD use in the context of state-level policy and political environments. Most studies estimate national-level rates of treatment use only, which can be useful, but what is necessary is to understand what mechanisms are at work that vary by state. This study also found that while substance use policies were designed to increase MOUD for pregnant women, this was not as prominent a predictor as other factors, like mental health, being referred from the criminal justice system, and living in a state with more Democratic-leaning affiliations.

The present paper seeks to reveal the factors underlying the intentions of women on maternity leave to engage in informal economy activities.

A representative cross sectional survey of 417 women on maternity leave was selected as a main research approach. A structural equation modelling – partial equation modelling served as a research tool.

The study revealed that the most important determinants of intentions to become involved in informal economy activities during maternity leave are unsatisfactory financial situation, complicated legal regulation and fear of becoming uncompetitive in the labour market.

To the best of authors’ knowledge, it is the first scientific attempt to investigate the informal work/economy during maternal leave.