Prevalence of depression symptoms and its influencing factors among pregnant women in late pregnancy in urban areas of Hengyang City, Hunan Province, China: a cross-sectional study

Depression, anxiety, and stress among HIV-positive pregnant women during the COVID-19 pandemic: a hospital-based cross-sectional study in India

BACKGROUND

The COVID-19 pandemic has caused an unparalleled increase in psychological distress among everyone and everywhere. Perinatal depression, anxiety, and stress (DAS) are more prominent among HIV-positive pregnant women and are associated with poor maternal and neonatal outcomes. Therefore, this study aimed to assess the prevalence and explore the factors associated with DAS among HIV-positive pregnant women in India.

METHODS

A multicentric, cross-sectional, analytical study was conducted among all HIV-positive pregnant women, aged more than 18 years, taking antiretroviral therapy, and attending antenatal care visits at two hospitals that are offering HIV care services in Anantapur District, Andhra Pradesh, India. Women who were unable to communicate were mentally ill, and refused to give consent were excluded. The study was conducted for a period of eighteen months from April 2020 to September 2021. A validated and interview-based data collection form was used to capture sociodemographic, obstetric profiles, clinical and support-related profiles, and COVID-19 stressors among study participants. The DASS-21 scale was used to assess depression, anxiety, and stress among study participants. Univariable and multivariable Poisson regression analyses were used to identify factors associated with DAS among study participants.

RESULTS

The prevalence of depression, anxiety, and stress among HIV-positive pregnant women was found to be 50.3% (95% CI 23.6-76.4), 56.2% (95% CI 28.3-80.3), and 42.2% (95% CI 18.5-69.9), respectively. A multivariate Poisson regression analysis showed that participants living in a rural area (adj. PR 1.43,1.08-1.91), primigravidae (adj. PR 1.37, 1.09-1.72), less number of ANC visits (adj. PR 1.41, 1.12-1.76), identified HIV during pregnancy (adj. PR 1.42, 1.13-1.77), non-disclosure of HIV status with one's partner (adj. PR 1.43, 1.11-1.83), no partner support (adj. PR 1.84, 1.31-2.59), and having a negative HIV status sexual partner (adj. PR 1.35, 1.02-1.79) were all significantly associated with depression. Factors such as lack of partner support (adj. PR 1.48, 1.09-1.99) and known HIV status during pregnancy (adj. PR 1.24, 1.01-1.52) were significantly associated with anxiety. Participants who had less ANC visits (adj. PR 1.50, 1.12-2.02), non-disclosure of HIV status with partner (adj. PR 1.47, 1.08-2.02), known HIV status during pregnancy (adj. PR 1.62, 1.23-2.15), negative HIV status of sexual partner (adj. PR 1.44, 1.02-2.02), and no partner's support (adj. PR 1.85, 1.25-2.74) were significantly associated with stress.

CONCLUSION

The study concludes that about one-third of the HIV-positive pregnant women reported anxiety, and more than half of the women were feeling stressed and depressed during COVID-19. Factors such as residence and primigravidae were linked with antenatal depression. Whereas variables like ANC visits, knowing HIV status during pregnancy, non-disclosure of HIV status, no partner's support, and sexual partner HIV negative status were associated with depression and stress. The anxiety symptoms are very high among women who are HIV positive during pregnancy, and not having a partner's support. Demographic, clinical, and support-related determinants and COVID-19 stressors of DAS provide insights for interventions to reduce the burden of mental health problems among HIV-positive pregnant women.

The effects of maternal health literacy, family functioning and self-efficacy on antepartum depression in pregnant women in China: a moderated mediation model

BACKGROUND

Antepartum depression (AD) is associated with a greater risk of adverse outcomes for both mothers and fetuses. Maternal health literacy (MHL), family functioning (FF), and self-efficacy (SE) are important factors affecting antepartum depression (AD) in pregnant women. Therefore, this study aimed to explore the associations between these factors and whether MHL and SE mediate the relationship between FF and AD.

METHODS

This cross-sectional study included 1392 pregnant women from 6 hospitals in Chongqing, China. Data were collected via structured scales, including the Edinburgh Postpartum Depression Scale, the APGAR Family Care Index Scale, the Maternal Health Literacy Scale and the General Self-Efficacy Scale (GSES). Structural equation modeling(SEM) was used to test the hypothesized relationships among the variables.

RESULTS

In our survey, 31.90% participants had depression symptoms. Correlation analysis revealed that all the variables were significantly correlated with AD (p < 0.01). The model indicated that FF had the strongest correlation with AD (β = -0.276, p < 0.01), followed by MHL (β = -0.248, p < 0.01) and self-efficacy (SE) (β = -0.222, p < 0.01). SE fully mediated the relationship between FF and AD and mediated the relationship between MHL and AD. There was no evidence of a mediating effect of MHL on the relationship between FF and AD.

CONCLUSIONS

AD is correlated with MHL, SE and FF. MHL and FF can directly affect AD and mediate AD through SE. Future programs should consider MHL promotion, FF improvement and SE strengthening as breakthrough points when planning educational programs.

Global prevalence of depression, anxiety, and stress symptoms in different trimesters of pregnancy: A meta-analysis and meta-regression

The global prevalence of psychological problems in different trimesters is unclear due to methodological constraints in previous reviews. A precise estimate would be a key first step in raising awareness and allocating resources. This review aims to (1) calculate the global prevalence of depression, anxiety, and stress symptoms during different trimesters and (2) determine the factors influencing their prevalence estimates. A comprehensive search across eight databases was conducted. The meta packages in R software were used to perform meta-analysis, subgroup analysis, and meta-regression analysis. The Newcastle Ottawa Scale was used to assess the study quality, while the Grading of Recommendations, Assessment, Development, and Evaluation method was utilized to assess the certainty of the evidence. A total of 88 studies with 61,719 participants across 48 countries were included. The prevalences of depression, anxiety, and stress symptoms during all trimesters were 27% (95% CI: 23-31), 37% (95% CI: 31-42), and 26% (95% CI: 9-49), respectively. The second trimester had the highest prevalence of depression (30%) and anxiety (28%) symptoms, whereas the third trimester had the highest prevalence of stress symptoms (52%). A series of subgroup and meta-regression analyses revealed that regions, economic levels of the country, setting, the COVID-19 pandemic, and quality of study were significant factors. Most studies were high quality, but the certainty of the evidence was very low. Findings can contribute as evidence to raising awareness about specific psychological problems during different trimesters. Implementing effective policies and launching targeted interventions can help minimize the prevalence.

Sleep quality disparities in different pregnancy trimesters in low- and middle-income countries: a systematic review and meta-analysis

INTRODUCTION

Sleep is a crucial determinant of maternal and fetal health, significantly impacting the well-being of both the mother and her developing fetus. Poor sleep quality, characterized by difficulties in falling asleep or staying asleep, can cause poor pregnancy outcome. Conversely, studies came with inconsistent result in the prevalence of poor sleep quality in different trimester of pregnancy. Therefore, this systematic review and meta-analysis study aimed to compare the prevalence of poor sleep quality in different trimesters.

METHOD

A systematic review and meta-analysis were done on published studies. Electronic data base search was done from PubMed, Hinari, Medline and Google Scholar. Data were extracted with Excel and the analysis were done using STATA version 17. Publication bias was assessed both graphically and statistically. I-square test was used to identify heterogeneity.

RESULT

In this meta-analysis, 38 studies that measured poor sleep quality using the Pittsburg Sleep Quality Index (PSQI ≥ 5) were included. The pooled prevalence of poor sleep quality was identified as 37.46% (95% CI: 29.26, 45.67) in the first trimester, 47.62% (95% CI: 42.23, 53.02) in the second trimester, and 60.05% (95% CI: 51.32, 68.78) in the third trimester.

CONCLUSION

This study identified a significant discrepancy in the prevalence of poor sleep quality, which increases as gestational age advances. Therefore, this discrepancy should be addressed, and additional support should be provided to pregnant women to help them achieve adequate sleep, especially as gestational age advances.

Do inexperienced nurses in the lactation period experience workplace violence? A qualitative study

INTRODUCTION

Among clinical healthcare personnel, nurses face the highest proportion of workplace violence, which has a significant impact on their physical and mental well-being as well as their personal and professional lives. However, little is known about the effects of workplace violence on inexperienced breastfeeding nurses and their experiences during and after breastfeeding when they return to work. This study aimed to explore the experiences of inexperienced breastfeeding nurses who encountered workplace violence and its resulting impacts.

METHODS

This study employed a descriptive qualitative design. Semi-structured in-depth interviews were conducted with 20 nurses working in various positions and departments at three tertiary hospitals. Purposive and maximum variation sampling techniques were employed. The interview data were analyzed using Colaizzi's method, and the research findings were reported according to Consolidated Criteria for Reporting Qualitative Studies (COREQ)standards.

RESULTS

Inferences regarding workplace violence and risks for inexperienced breastfeeding nurses included physical labor (such as lifting heavy objects and performing cardiopulmonary resuscitation), conflicts, inadequate job skills, role confusion, occupational exposure risks, patient violence, and pressure from older adults. An inductive thematic investigation revealed the "Challenges faced during breastfeeding," "Conflicting professional and family roles," "Out of balance," and "Coping strategies."

CONCLUSION

Inexperienced breastfeeding nurses experience several negative consequences due to workplace violence. Therefore, it is essential to plan and implement preventive strategies and management programs that specifically target workplace violence among inexperienced breastfeeding nurses.

Prevalence and predictors of prenatal depression during the COVID-19 pandemic: A multistage observational study in Beijing, China

OBJECTIVE

While growing psychological health issues among pregnant women during the COVID-19 pandemic have been clearly validated, most research was conducted in countries with relatively lax quarantine measures. This study aimed to compare the prevalence of prenatal depression among pre-, peak-, and post-COVID-19 in Beijing, the region with a stringent response policy in China. We also explore predictors of prenatal depression throughout the outbreak.

METHODS

We investigated prenatal depression among 742 pregnant women who received antenatal checkups in Beijing from March 28, 2019 to May 07, 2021 using the Edinburgh Postnatal Depression Scale and associative demographic, pregnancy-related, and psychosocial characteristics were measured. The phase was divided into pre-, peak-, and post-COVID-19 in light of the trajectory of COVID-19. Pearson's Chi-square test was used after the examination of confounders homogeneity. The bivariable and multivariable logistic regression was conducted to explore predictors.

RESULTS

The pooled prevalence of prenatal depression was 11.9% throughout the COVID-19 pandemic. Rates at different phases were 10.6%, 15.2%, and 11.1% respectively and no significant difference was observed. Multivariable logistic regression revealed that history of mental illness, number of boy-preference from both pregnant women and husband's family, social support, occupation, and living space were independent predictors of prenatal depression in Beijing.

CONCLUSION

Our data suggested that the impact of this pandemic on prenatal depression in Beijing appears to be not significant, which will strengthen confidence in adhering to current policy for decision-makers and provide important guidance for the development of major outbreak control and management policies in the future. Our findings may also provide a more efficient measure to identify high-risk pregnant women for professionals and help raise gender equity awareness of pregnant women and their husbands' families. Future studies should focus on the value of targeted care and family relations on the mental health of pregnant women.

Current Situation and Mental Health of Pregnant Women During the Prevention and Control of Novel Coronavirus Infection: A Cross-Sectional Study on the Investigation of Influencing Factors

Background

COVID-19 is a highly contagious respiratory infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which became a global public health crisis. In the past 3 years, the COVID-19 pandemic has resulted in a dramatic increase in the occurrence of psychological symptoms such as depression, anxiety, and stress in global populations. Therefore, it is important to help pregnant women cope with major public emergencies and improve their physical and mental health.

Objective

To investigate the status and influencing factors of anxiety, insomnia, and psychological stress disorder in pregnant women with COVID-19 to provide a theoretical basis for psychological intervention in pregnant women in the case of public health emergency events.

Patients and methods

A cross-sectional survey was conducted with 435 pregnant women from multiple tertiary hospitals in Zhengzhou from November 6 to December 6, 2022. The questionnaire contents included the general information of pregnant women, insomnia scale, generalized anxiety scale, and the revised version of the Accident Impact Scale.

Results

There are 251 pregnant women with anxiety (57.7%, 95% CI: (53.0%-62.4%).There are 166 pregnant women with insomnia.(38.2%, 95% CI: 33.6%-42.7%), There are 314 pregnant women with stress disorder.(72.2%, 95% CI: 68.0%-76.4%). During the epidemic prevention and control period, whether pregnant women had a history of adverse pregnancy had a statistically significant difference in anxiety, insomnia and stress disorders.

Conclusion and Recommendation

During the COVID-19 pandemic, pregnant women appeared to generally have anxiety, insomnia, and stress disorders. Poor pregnancy history is a protective factor for pregnant women with anxiety, insomnia, and post-traumatic stress disorder. In the case of similar public health emergencies, attention bias modification (ABM) may be a potential intervention measure to provide potentially new ideas for alleviating the psychological disorders of pregnant women during this special period.

The magnitude of perinatal depression and associated factors among women in Kutaber woreda public health institution and Boru Meda general hospital, Ethiopia, 2022: a cross-sectional study

Background

Perinatal depression, characterized by the presence of depressive symptoms during pregnancy and/or within the first 12 months postpartum, poses a significant global public health concern. It contributes to a multitude of health risks for mothers, their infants, and their families. Understanding of perinatal depression and its associated factors is crucial for effective prevention and intervention strategies. However, there is a lack of comprehensive research on this topic in Ethiopia. Therefore, this study aims to determine the prevalence and factors contributing to perinatal depression among Ethiopian women.

Methods

An institutional-based cross-sectional study was conducted, involving 552 women receiving perinatal services at Kutaber district health institution and Boru Meda General Hospital. Study participants were selected through systematic random sampling techniques. Perinatal depression was assessed using the Depression, Anxiety, and Stress Scale-21 (DASS-21). The associations between various determinants and perinatal depression were examined using binary logistic regression, and factors with a p-value of less than 0.2 were included in the multiple logistic regression analysis. A p-value less than 0.05 was considered statistically significant.

Results

The prevalence of perinatal depression was found to be 32.2%. The prevalence of perinatal depression was found to be 32.2%. Factors significantly associated with perinatal depression included being a student [adjusted odds ratio (AOR) = 4.364, 95% confidence interval (CI): 1.386, 13.744], experiencing excessive pregnancy-related concerns (AOR = 1.886, 95% CI: 1.176, 3.041), past substance use (AOR = 2.203, 95% CI: 1.149, 4.225), the presence of anxiety symptoms (AOR = 3.671, 95% CI: 2.122, 6.352), experiencing stress symptoms (AOR = 6.397, 95% CI: 3.394-12.055), and daytime sleepiness (AOR = 2.593, 95% CI: 1.558, 4.316).

Conclusion

The findings of this study indicate a relatively high prevalence and valuable factors associated with perinatal depression. It highlights the need for a comprehensive approach to perinatal mental health that takes into account not only the biological aspects of pregnancy but also the psychological, social, and lifestyle factors that can impact a person's mental well-being during this critical period.

Fear of childbirth and sleep quality among pregnant women: a generalized additive model and moderated mediation analysis

OBJECTIVES

This study aims to examine the associations among fear of childbirth, psychological distress, resilience, and sleep quality among Chinese pregnant women.

METHODS

A cross-sectional survey was carried out between January 2022 to March 2022 among pregnant women who met the inclusion criteria and sought healthcare services at The First Affiliated Hospital of Guangzhou University of Chinese Medicine in Guangdong Province, Southern China. Data was collected using a structured questionnaire that included sociodemographic characteristics, childbirth attitudes questionnaires (CAQ), hospital anxiety and depression scale (HADS), Connor-Davidson resilience scale (CD-RISC), and Pittsburgh sleep quality index (PSQI). A generalized additive model and moderated mediation analysis were employed for data analysis.

RESULTS

A non-linear and negative association between fear of childbirth and sleep quality was found in the second trimester and antenatal period. Psychological distress significantly mediated the relationship between fear of childbirth and sleep quality (first trimester: β = 0.044, 95%CI:0.022-0.071; second trimester: β = 0.029, 95%CI:0.009-0.056; third trimester: β = 0.064, 95%CI:0.046-0.088; antenatal period: β = 0.050, 95%CI:0.037-0.063). The moderating role of resilience between fear of childbirth and sleep quality was significant (second trimester: β=-0.006, 95%CI:-0.012-0.001, P = 0.025; antenatal period: β=-0.004, 95%CI:-0.007--0.001, P = 0.014), as well as between fear of childbirth and psychological distress (first trimester: β=-0.016, 95%CI:-0.026--0.005, P = 0.004; antenatal period: β=-0.005, 95%CI:-0.009--0.001, P = 0.014).

CONCLUSIONS

Fear of childbirth, psychological distress, and resilience are three important factors affecting sleep quality in Chinese pregnant women.

Risk factors of positive depression screening during the third trimester of pregnancy in a Chinese tertiary hospital: a cross-sectional study

OBJECTIVE

Pregnant women experience enormous psychological pressure, particularly during the late trimester. Symptoms of depression in late pregnancy may persist postpartum, increasing the incidence of postpartum depression. This study is aimed to investigate the factors influencing depressive symptoms among pregnant women in their third trimester at a Chinese tertiary hospital and provide information for effective intervention.

METHODS

Pregnant women in their third trimester who visited the Ningbo Women and Children's Hospital between January 1, 2020 and June 30, 2022 participated in this study. A score of ≥ 13 on the Edinburgh Postnatal Depression Scale (EPDS) was considered as positive for depressive symptom. Potential influencing factors were examined by using an online questionnaire and analyzed using multivariate logistic regression.

RESULTS

A total of 1196 participants were recruited. The mean EPDS score was 7.12 ± 4.22. The positive screening rate for depressive symptom was 9.9%. Univariate analysis showed that living with partner, annual family income, planned pregnancy, sleep quality, and partner's drinking habits were related to positive screening for depression(P < 0.05). Furthermore, multivariate logistic regression analysis showed that living away from the partner (odds ratio [OR]: 2.054, 95% confidence interval [CI]: 1.094-3.696, P = 0.02), annual family income < 150,000 Chinese Yuan (CNY; OR: 1.762, 95% CI: 1.170-2.678, P = 0.007), poor sleep quality (OR: 4.123, 95% CI: 2.764-6.163, P < 0.001), and partner's frequent drinking habit (OR: 2.227, 95% CI: 1.129-4.323, P = 0.019) were independent influencing factors for positive depression screening (P < 0.05).

CONCLUSION

Family's economic condition, sleep quality, living with partner, and partner's drinking habits were related to positive depression screening in late pregnancy. Pregnant women with these risk factors should be given more attention and supported to avoid developing depression.

Prevalence of Perinatal Anxiety and Related Disorders in Low- and Middle-Income Countries: A Systematic Review and Meta-Analysis

Importance

Anxiety disorders are associated with poor maternal and neonatal outcomes. Women in low- and middle-income countries (LMICs) are thought to be disproportionally burdened by these disorders, yet their prevalence is unclear.

Objective

To conduct a systematic review and meta-analysis to determine the prevalence of 6 anxiety and related disorders among perinatal women in LMICs.

Data Sources

Embase, MEDLINE, PsycINFO, Cochrane Library, CINAHL, and Web of Science databases were searched from inception until September 7, 2023.

Study Selection

Studies conducted in World Bank-defined LMICs and reporting prevalence of generalized anxiety disorder, obsessive-compulsive disorder, social anxiety disorder, posttraumatic stress disorder, panic disorder, or adjustment disorder during the perinatal period (conception to 12 months post partum) using a validated method were included.

Data Extraction and Synthesis

This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guideline. Study eligibility, extracted data, and risk of bias of included studies were assessed by 2 independent reviewers. Random-effects meta-analysis was used to estimate pooled point prevalence. Subgroup analyses were performed by specific anxiety disorder.

Main Outcomes and Measures

Main outcomes were prevalence estimates of each anxiety disorder, measured as percentage point estimates and corresponding 95% CIs.

Results

At total of 10 617 studies were identified, 203 of which met the inclusion criteria and reported the outcomes of 212 318 women from 33 LMICs. Generalized anxiety disorder was the most reported (184 studies [90.6%]) and most prevalent disorder at 22.2% (95% CI, 19.4%-25.0%; n = 173 553). Posttraumatic stress disorder was the second most prevalent (8.3%; 95% CI, 5.0%-12.2%; 33 studies; n = 22 452). Adjustment disorder was least prevalent (2.9%; 95% CI, 0.0%-14.1%; 2 studies; n = 475). The prevalence of generalized anxiety varied by country income status, with the highest prevalence among lower-middle-income countries (27.6%; 95% CI, 21.6%-33.9%; 59 studies; n = 25 109), followed by low-income (24.0%; 95% CI, 15.3%-33.8%; 11 studies; n = 4961) and upper-middle-income (19.1%; 95% CI, 16.0%-22.4%; 110 studies; n = 138 496) countries.

Conclusions and Relevance

These findings suggest that 1 in 5 women living in LMICs experience anxiety disorders during pregnancy and post partum. Targeted action is needed to reduce this high burden.

Influence of resilience on depression among nurses in clean operating departments: The mediating effect of life satisfaction

BACKGROUND

A clean operating room is an important part of surgical and critical treatment in hospitals. The workload is substantial, the pace is rapid, and the working environment is intense; therefore, nurses who work in clean operating rooms are constantly challenged, which can lead to anxiety, depression, and other mental health issues. Life satisfaction and resilience are important factors that ensure mental health. Therefore, exploring the mediating role of life satisfaction in the influence of resilience on depression among nurses in clean operating rooms can help improve nursing services and teamwork.

AIM

To explore the mediating effect of satisfaction on the influence of resilience on depression among nurses in a clean operating department.

METHODS

From April to November 2022, 196 nurses from the Department of Clean Operating at Harbin Medical University Cancer Hospital participated in this study. Participants were selected using convenience sampling. Participants' gender, age, marital status, position, length of service, personal monthly income, daily working hours, employment status, and professional title were collected, and the Connor-Davidson resilience scale, satisfaction with life scale, and self-rating depression scale were used to evaluate resilience, life satisfaction, and depression. The researchers conducted professional training in advance, introduced the research methods to the participants before the investigation, and explained the study's significance and purpose. Surveys were distributed and collected on-site. Each questionnaire took 30 min to complete.

RESULTS

The average scores for life satisfaction, resilience, and depression were 3.13 (± 0.28), 4.09 (± 0.78), and 56.21 (± 8.70), respectively. The correlation between resilience and depression was negative (r = -0.829, P < 0.01). Life satisfaction was positively related to resilience (r = 0.855, P < 0.01) and negatively related to depression (r = -0.778, P < 0.01). The relationship between resilience and depression was partially mediated by life satisfaction. The value of the mediating effect was -6.853 (26.68% of the total effect).

CONCLUSION

Life satisfaction partially mediates the link between resilience and depression among nurses in clean operating departments.

Changes in Intrapersonal Factors of Participants in the Pregnancy Remote Monitoring Study Who Are at Risk for Pregnancy-Induced Hypertension: Descriptive Quantitative Study

BACKGROUND

The peripartum period, defined as the period from the beginning of the gestation until 1 year after the delivery, has long been shown to be potentially associated with increased levels of stress and anxiety with regard to one's transition to the status of parent and the accompanying parental tasks. Yet, no research to date has investigated changes in intrapersonal factors during the peripartum period in women at risk for pregnancy-induced hypertension (PIH).

OBJECTIVE

The aim of this study is to explore and describe changes in intrapersonal factors in participants at risk for PIH.

METHODS

We used an explorative design in which 3 questionnaires were sent by email to 110 participants the day following enrollment in the Pregnancy Remote Monitoring program for pregnant women at risk for PIH. Women were invited to complete the questionnaires at the beginning of their participation in the Pregnancy Remote Monitoring project (mostly at 14 weeks of gestation) and after approaching 32 weeks of gestational age (GA). The Generalized Anxiety Disorder-7 Scale (GAD-7) and the Patient Health Questionnaire-9 were used to assess anxiety and depression, and adaptation of the Pain Catastrophizing Scale was used to measure trait pain catastrophizing.

RESULTS

Scores were significantly higher at 32 weeks of GA than at the moment of enrollment (GAD-7 score=7, range 4-11 vs 5, range 3-8; P=.01; and Patient Health Questionnaire-9 score=6, range 4-10 vs 4, range 2-7; P<.001). The subscale scores of the Pain Catastrophizing Scale were all lower at 32 weeks of GA compared with 14 weeks of GA (rumination: 4, range 1-6 vs 5, range 2-9.5; P=.11; magnification: 3, range 1-5.5 vs 4, range 3-7; P=.04; and helplessness: 5, range 2-9 vs 6, range 3.5-12; P=.06). The proportion of women with a risk for depression (GAD-7 score >10) was 13.3% (10/75) at enrollment and had increased to 35.6% (26/75) at 32 weeks of GA.

CONCLUSIONS

This study shows that pregnant women at risk for PIH have higher levels of stress and anxiety at 32 weeks of GA than at the moment of enrollment. Further research is recommended to investigate potential strategies to help pregnant women at risk for PIH manage feelings of stress and anxiety.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03246737; https://clinicaltrials.gov/study/NCT03246737.

Excessive gestational weight gain and emotional eating are positively associated with postpartum depressive symptoms among taiwanese women

BACKGROUND

Excessive gestational weight gain and emotional eating may be associated with postpartum depression symptoms. This study was designed to identify how gestational weight gain and eating behaviors are related to postpartum depression (PPD) symptoms among women in Taiwan.

METHODS

A cross-sectional study was conducted from March 2022 to October 2022 with 318 postpartum women recruited in Taipei, Taiwan. Gestational weight gain (GWG) for the total pregnancy period was recorded as inadequate, adequate, or excessive, based on the 2009 Institute of Medicine recommendations (IOM), accounting for pre-pregnancy body mass index category. Eating behavior at one month postpartum was measured on a 16-item 5-point Likert scale with three subscales: uncontrolled, restrained, and emotional. Maternal depressive symptoms were measured using the Edinburgh Postnatal Depression Scale with a cutoff score of 13.

RESULTS

The prevalence of postpartum depression symptoms (Edinburgh Postnatal Depression Scale ≥ 13) was 23.9% at one month postpartum. Logistic regression analysis revealed that excessive gestational weight gain and emotional eating were positively associated with postpartum depression symptoms at that time.

CONCLUSION

Evidence presented here suggests that emotional eating and excessive GWG are associated with PPD symptoms in a Taiwanese population. In addition, it should be a public health priority to ensure a particular focus on mental health during the postpartum period. Healthcare providers should discourage pregnant women from unhealthy eating habits by targeting appropriate GWG and focusing on demand eating to reduce PPD in the postpartum period.

Prevalence and risk factors of anxious and depressive symptoms in first-trimester females and their partners: a study during the pandemic era of COVID-19 in China

BACKGROUND

The pandemic of coronavirus disease 2019 lastingly affects public mental health. Many studies have described symptoms of anxiety and depression in pregnant women before the pandemic. However, the limited study focuses on the prevalence and risk factors of mood symptoms among first-trimester females and their partners during the pandemic in China, which was the aim of the study.

METHODS

One hundred and sixty-nine first-trimester couples were enrolled. The Edinburgh Postnatal Depression Scale, Patient Health Questionnaire-9, Generalized Anxiety Disorder 7-Item, Family Assessment Device-General Functioning (FAD-GF), and Quality of Life Enjoyment and Satisfaction Questionnaire, Short Form (Q-LES-Q-SF) were applied. Data were mainly analyzed through logistic regression analysis.

RESULTS

17.75% and 5.92% of first-trimester females had depressive and anxious symptoms, respectively. Among partners, 11.83% and 9.47% had depressive and anxious symptoms, respectively. In females, higher scores of FAD-GF (OR = 5.46 and 13.09; P < 0.05) and lower scores of Q-LES-Q-SF (OR = 0.83 and 0.70; P < 0.01) were related to the risk of depressive and anxious symptoms. Higher scores of FAD-GF were associated with the risk of depressive and anxious symptoms in partners (OR = 3.95 and 6.89; P < 0.05). A history of smoking was also related to males' depressive symptoms (OR = 4.49; P < 0.05).

CONCLUSION

This study prompted prominent mood symptoms during the pandemic. Family functioning, quality of life, and smoking history increased risks of mood symptoms among early pregnant families, which facilitated the updating of medical intervention. However, the current study did not explore interventions based on these findings.

Levels and Determinants of Antenatal Breastfeeding Attitudes among Pregnant Women: A Cross-Sectional Study

Breastfeeding attitudes are strong predictors of breastfeeding behavior. Gaining a deeper understanding on the levels and determinants of antenatal breastfeeding attitudes is crucial. This cross-sectional study involved 124 pregnant women at a tertiary hospital in Hunan, China. A self-administered questionnaire, the Iowa Infant Feeding Attitude Scale, the Edinburgh Postnatal Depression Scale, the Pregnancy Stress Rating Scale, the Childbirth Attitude Questionnaire, the Perceived Social Support Scale, and the Breastfeeding Knowledge Questionnaire were assessed during their first-trimester, second-trimester, and third-trimester hospital visit. Multiple linear regression was conducted to identify the determinants of breastfeeding attitudes. The participants reported neutral (56.39 ± 5.69) levels of breastfeeding attitudes. The determinants of antenatal breastfeeding attitudes were other family members' support for exclusive breastfeeding: moderate (β = 0.278, p < 0.05), depressive symptoms (β = -0.191, p < 0.05), and breastfeeding knowledge (β = 0.434, p < 0.001). The variables explained 33.9% (adjusted R²) of the total variation in breastfeeding attitudes scores (F = 4.507, p < 0.001). Namely, other family members' support for EBF was a negative influence on positive breastfeeding attitudes. The women whose other family members were moderate of EBF had more positive attitudes toward breastfeeding compared to those whose other family members were very supportive of EBF. The depressive symptoms were negatively associated with positive breastfeeding attitudes, and lower levels of depressive symptoms were associated with higher levels of positive breastfeeding attitudes among pregnant women. Additionally, breastfeeding knowledge was positively associated with positive breastfeeding attitudes. The more knowledgeable about breastfeeding, the more positive the attitude towards breastfeeding. Health professionals should identify these modifiable factors that may contribute to poorer breastfeeding attitudes, which is useful in targeting promotions of breastfeeding.

Effects of the Covid-19 Pandemic on the Prevalence of Insomnia, Anxiety, and Depression During Pregnancy: A Systematic Review and Meta-Analysis

This systematic review and meta-analysis study aims to determine the effects of the Covid-19 pandemic on the prevalence of insomnia, anxiety, and depression symptoms during pregnancy. Reviews were done through PubMed, EBSCO (Medline, CINAHL), Embase (OVID), Web of Science, PsycINFO, TR Index, Turkish Thesis Center databases using (pregnancy OR pregnant) and (sleep OR sleep disorders OR insomnia), and (anxiety OR depression) keywords between April and May 2021. The meta-analysis included 48 articles (sample: 77,299). It was found that the Covid-19 pandemic did not affect the prevalence of depression symptoms and anxiety during pregnancy, but it increased insomnia. While insomnia ratio was reported 39.6% (95% CI: 0.253-0.560) in the studies conducted before the pandemic, it was reported 88.8% (95% CI: 0.821-0.921) in the studies conducted during the pandemic. This study found that the Covid-19 pandemic did not have effects on depression symptoms and anxiety, but it increased insomnia complaints.

Self-efficacy and social support as mediators of mental health among abused women

Supportive counseling and facilitated referrals to support organizations have shown positive effects on mental health and coping with domestic and family violence. However, the reasons why and how such effects are significant remain unknown. The current paper used data from a randomized controlled trial of a psychosocial intervention implemented in Nepal among 140 abused pregnant women. The hypothesized mediating effects of self-efficacy and social support on mental health and quality of life of abused pregnant women were tested using serial mediation analyses. Significance of parameter estimates and bias-corrected 95% confidence intervals (CIs) for the indirect effects were generated using bootstrapping. The postintervention changes in self-efficacy and social support were found to have significant mediating effects on the relationship between the intervention and changes in both mental health and quality of life of participants post intervention. The positive effects on outcomes were seen at follow-up as well, though to a lesser extent. Further interventions should focus on enhancing abused women's self-efficacy and social support to ensure their positive mental health and better lives.

Prevalence of perinatal anxiety in low- and middle-income countries: A systematic review and meta-analysis

BACKGROUND

Perinatal anxiety is associated with adverse outcomes for women and their infants. Women in low- and middle-income countries (LMIC) may be at higher risk of perinatal anxiety. We aimed to systematically review and synthesise the evidence on prevalence of perinatal anxiety in LMIC.

METHOD

We searched MEDLINE, Embase, PscyhINFO, Global Health and Web of Science to identify studies assessing prevalence of perinatal anxiety in LMIC. Studies published since January 2016 were included. Screening and data extraction was conducted independently by two reviewers. Pooled prevalence estimates were calculated using random-effect meta-analyses and sources of heterogeneity explored through subgroup analyses and meta-regression.

RESULTS

We screened 9494 titles and abstracts, reviewed 700 full-texts and included 54 studies in the systematic review and meta-analysis. The pooled prevalence of self-reported anxiety symptoms was 29.2% (95%CI 24.5-34.2; I² 98.7%; 36 studies; n = 28,755) antenatally and 24.4% (95%CI 16.2-33.7; I² 98.5%; 15 studies; n = 6370) postnatally. The prevalence of clinically-diagnosed anxiety disorder was 8.1% (95%CI 4.4-12.8; I² 88.1% 5 studies; n = 1659) antenatally and 16.0% (95% CI 13.5-18.9; n = 113) postnatally.

LIMITATIONS

Our search was limited to studies published since January 2016 in order to update a previous review on this topic.

CONCLUSION

Perinatal anxiety represents a significant burden in LMIC, with one in four women experiencing symptoms during pregnancy or postpartum. Research remains lacking in a significant proportion of LMIC, particularly in the lowest income countries. Further research should guide application of screening tools in clinical settings to identify women with anxiety disorders in order to provide appropriate treatment.

Association between intimate partner violence and prenatal anxiety and depression in pregnant women: a cross-sectional survey during the COVID-19 epidemic in Shenzhen, China

OBJECTIVES

Intimate partner violence (IPV) against women remains a major global public health problem with harmful consequences for individuals and society. People's lifestyles have been greatly affected by the COVID-19 pandemic. This study investigated the prevalence of and relationship between IPV and anxiety and depression in pregnant Chinese women during the pandemic.

DESIGN

Cross-sectional study.

SETTING

This investigation was conducted in Shenzhen City, Guangdong Province, China from 15 September to 15 December 2020.

PARTICIPANTS

A total of 3434 pregnant women were screened with the Abuse Assessment Screen Questionnaire to evaluate IPV and General Anxiety Disorder and Patient Health Questionnaire to evaluate symptoms of anxiety and depression, respectively. Pregnant women with perinatal health records at Shenzhen District Maternity and Child Healthcare Hospitals who consented to participate were enrolled. Women with psychotic disorders such as schizophrenia, mania or substance dependence and pregnant women who refused to participate were excluded. Data were analysed with the χ² test and by logistic regression analysis.

RESULTS

The prevalence of IPV among pregnant women was 2.2%. Mental violence was the most common type of violence (2.2%), followed by physical (0.6%) and sexual (0.7%) violence. The prevalence of anxiety and depression symptoms was 9.8% and 6.9%, respectively. After adjusting for covariates, there was a statistically significant association between IPV and prenatal anxiety (OR=4.207, 95% CI: 2.469 to 7.166) and depression (OR=3.864, 95% CI: 2.095 to 7.125).

CONCLUSIONS

IPV increased the risk of prenatal anxiety and depression in pregnant women in China during the COVID-19 pandemic. Efforts should be made by the government and civil society to promote long-lasting antenatal interventions to ensure the safety and protect the mental health of pregnant women.

Prevalence of depressive symptoms and correlated factors among pregnant women during their second and third trimesters in northwest rural China: a cross-sectional study

BACKGROUND

The depression mood during their second and third trimesters has a negative impact on both the mother and her child. Compared with pregnant women in urban areas, rural pregnant women who are in more disadvantaged situation may have more serious psychological problems. Particular, many rural pregnant women had internal migrant work experience during pregnancy in rural China. It is thus necessary to study the prevalence of depressive symptoms and correlated factors among Chinese northwest rural pregnant women.

METHODS

This study was conducted from October 2017 to April 2018 and surveyed 1053 pregnant women in the middle and late stages of pregnancy who were registered in rural areas, gave informed consent and did not suffer from cognitive impairment or severe mental illness. Depressive symptoms were evaluated by the Chinese Version of the Short Depression Anxiety and Stress Scale (DASS-C21). Demographic characteristics, pregnancy characteristics and family factors were obtained through structured questionnaires. This study employed multiple factor logistic regression to analyze the relationship between depressive symptoms and their correlates.

RESULTS

The prevalence of depressive symptoms among pregnant women during their second and third trimesters was 16.14% (95%CI 13.92%-18.36%). Higher education levels (OR = 0.50; 95%CI 0.29-0.85) and taking folic acid (OR = 0.59; 95%CI 0.39-0.89) reduced the risk of depression symptoms. The family receiving rural welfare (OR = 1.69; 95%CI 1.04-2.75), migration for work (OR = 1.95; 95%CI 1.03-3.71) and living with both parents and parents-in-law (OR = 2.55; 95%CI 1.09-5.96) increased the risk of depressive symptoms.

CONCLUSIONS

The prevalence of depressive symptoms among pregnant women during their second and third trimesters in Northwest rural China was 16.14% that was nearly 4 percentage points higher than the average survey result of the pregnant women in developed countries and was higher than the findings in Chinese urban areas. To prevent depression symptoms, it's essential to early screen and provide folic acid for free when antenatal examination. Moreover, maternal examination files should be established so that wo pay attention to the psychological status of pregnant women who were with low education levels, poor family economic situations, excessive parental burden and who had been migrant workers.

Poor Sleep Quality and Factors Among Reproductive-Age Women in Southwest Ethiopia

BACKGROUND

Adequate sleep is vital for physical and mental wellbeing. Sleep-related problems including poor quality of sleep have been increasing throughout the world among reproductive-aged women. Poor sleep quality has been related with number of diseases and health problems However, evidences are scarce regarding poor sleep quality and its associated factors among women of the reproductive age group in Ethiopia.

OBJECTIVE

To assess sleep quality and associated factors among women of reproductive age group in Mizan Aman town, Southwest Ethiopia.

METHOD

Community-based cross-sectional study was conducted among 606 reproductive-aged women from 06 November to 20 December 2020, in Mizan Aman town. Data were collected using structured interview administered questionnaires. Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality. Multivariable logistic regression was applied using an adjusted odds ratio with a corresponding 95% confidence interval to evaluate the statistical significance of associated factors.

RESULT

The overall prevalence of poor sleep quality was 71.3%. The late age group of 42-49 (AOR, 95% CI; 1.21 (1.08-5.76), palpable/visible thyroid gland (AOR, 95% CI; 2. 12 (1.08-3.82), current substance use (AOR, 95% CI; 1.76 (1.11-6.10) and having premenstrual syndrome (AOR, 95% CI; 1.86 (1.38-3.12) were significantly associated with poor sleep quality among reproductive age group women.

CONCLUSION

Significant majority of reproductive age group women faced poor sleep quality. Therefore, screening of sleep patterns among this particular age group is warranted. Moreover, education about sleep hygiene needs to be given considering the identified factors to improve sleep quality.

Sleep quality and associated factors among pregnant women attending antenatal care at Jimma Medical Center, Jimma, Southwest Ethiopia, 2020: cross-sectional study

BACKGROUND

Sleep is a natural physiological process vital for the physical and mental wellbeing of pregnant women and their fetuses. Even though poor sleep quality is a common problem among pregnant women, it is not studied in developing countries including Ethiopia. Therefore, this study was aimed to assess the poor sleep quality and associated factors among pregnant women attending antenatal care at Jimma medical center, Jimma, Southwest Ethiopia, 2020.

METHODS

A cross-sectional study design was conducted among 415 pregnant women at Jimma Medical Center (JMC). The study subjects were selected using a systematic random sampling technique. Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality using face-to-face interviews. SPSS version 25 was used to analyze data. Bivariate and multivariable logistic regressions were done to identify factors related to sleep quality. In multivariable logistic regression variables with a p-value less than 0.05 was considered significant and, adjusted OR (AOR) with 95% CI was used to present the strength of the association.

RESULTS

The prevalence of poor sleep quality among pregnant women was found to be 30.8% (95% CI (26.5, 35.2). In multivariable analysis, age ≥ 30 years old (AOR = 1.94;95%CI:1.03,3.66), Multigravida (AOR = 1.90;95%CI:1.90,3.32),depression (AOR = 4.26;95%CI:2.54,7.14),stress (AOR = 1.85;95%CI:1.20,3.02) were variables significantly associated with poor sleep quality.

CONCLUSION

This study found a high prevalence of poor sleep quality among pregnant women. Older age, gravidity, depression, and stress were associated with poor sleep quality. It is better to have routine sleep pattern screening and teach sleep hygiene practice for pregnant women.

The Prevalence of Psychological Symptoms in Pregnant Healthcare Workers (HCWs) and Pregnant Non-HCWs During the Early Stage of COVID-19 Pandemic in Chongqing, China

Background: Studies showed that healthcare workers (HCWs) and pregnant women bore the burden of mental problems during the coronavirus disease 2019 (COVID-19) pandemic. While, few studies have focused on the psychological impact of COVID-19 pandemic on pregnant women who work at healthcare settings. This study aimed to investigate and compare the prevalence difference of psychological symptoms between pregnant HCWs and pregnant non-HCWs during the early stage of COVID-19 pandemic in China. Methods: A cross-sectional online survey with anonymous structured questionnaires was conducted from February 15 to March 9, 2020. A total of 205 pregnant women in Chongqing, China were recruited. The mental health status was assessed using symptom checklist-90 (SCL-90). Results: Our sample was composed of 83 pregnant HCWs (mean age = 29.8) and 122 pregnant non-HCWs (mean age = 30.8). The results suggested the prevalence of psychological symptoms (the factor score ≥2) among all pregnant women ranged from 6.83% (psychosis symptoms) to 17.56% (obsessive-compulsive symptoms). Compared with pregnant non-HCWs, pregnant HCWs reported higher prevalence of psychological symptoms in 10 factors of SCL-90. After controlling the confounding variables, multiple logistic regression demonstrated that pregnant HCWs experienced higher prevalence of psychological symptoms of somatization (18.07 vs. 5.74%, p = 0.006, aOR = 4.52), anxiety disorders (16.87 vs. 6.56%, p = 0.016, aOR = 3.54), and hostility (24.10 vs. 10.66%, p = 0.027, aOR = 2.70) than those among pregnant non-HCW. Conclusion: Our study indicated that pregnant HCWs were more likely to suffer from mental health distress than pregnant non-HCWs during the early stage of COVID-19 pandemic. It is vital to implement targeted psychological interventions for pregnant women, especially for pregnant HCWs to cope with distress when facing the emerging infectious diseases.

Prevalence and contributory factors of anxiety and depression among pregnant women in the post-pandemic era of COVID-19 in Shenzhen, China

BACKGROUND

Pregnant women are emotionally vulnerable and have suffered great psychological impacts. Following the coronavirus disease 2019 (COVID-19) outbreak, a study was undertaken of the prevalence of, and factors contributing to, symptoms of anxiety and depression among pregnant women in Shenzhen, China.

METHODS

A cross-sectional study on pregnant women was conducted from September to December 2020 in Shenzhen, using a random-recruit method. The General Anxiety Disorder (GAD-7) and Patient Health Questionnaire (PHQ-9) surveys were used to evaluate symptoms of anxiety and depression. A multivariate logistic regression model was developed to explore factors potentially associated with symptoms of anxiety and depression during pregnancy.

RESULTS

A total of 3,434 pregnant women aged 15 to 59 years were enrolled. Symptoms of anxiety and depression were present in 9.8% and 6.9%, respectively. Logistic regression analysis using a stepwise procedure revealed that an increased risk of symptoms of anxiety and depression was associated with unmarried/divorced/widowed, unemployed, received professional psychological counseling, family dysfunction, the first trimester of pregnancy, pregnancy complications and vaginal bleeding, unplanned pregnancy, decline in household income and disputes between partners caused by the COVID-19 pandemic, consumption of alcoholic drinks by women and their partners, smoking, lack of exercise and sedentary lifestyle. Women with education from junior high school through college were less likely to experience symptoms of prenatal depression.

CONCLUSIONS

Our study revealed factors associated with psychological symptoms among pregnant women in the post-COVID-19-pandemic era. These results should help to update guidance for psychological interventions for pregnant women during the period of COVID-19.