Prevalence of and relevant factors for depression and anxiety symptoms among pregnant women on the eastern seaboard of China in the post-COVID-19 era: a cross-sectional study

Development and application of a machine learning-based antenatal depression prediction model

BACKGROUND

Antenatal depression (AND), occurring during pregnancy, is associated with severe outcomes. However, there is a lack of objective and universally applicable prediction methods for AND in clinical practice. We leveraged sociodemographic and pregnancy-related data to develop and validate a machine learning-based AND prediction model.

METHODS

Data from 20,950 pregnant women form 3 hospitals were used and divided into training and test sets. AND was defined as an EPDS score of 10 or above. Using machine learning, we selected 34 characteristic variables and divided them into three categories based on clinical practice: Base Variables, General Variables, and Obstetric Variables. Based on this classification, we constructed four different AND random forest prediction models: the Base Model, the Base+General Model, the Base+Obstetric Model, and the Full Model.

RESULTS

The AUC range in the test set was 0.687-0.710. The Base+General Model achieved the best performance with an AUC of 0.710 (95 % CI: 0.693-0.710) in predicting AND risk during the late pregnancy period. The AUC of the Base Model was only 0.022 lower than that of the top-performing model, indicating its solid foundation for early AND screening.

LIMITATIONS

We have only analyzed the dataset from two eastern cities, and have not yet validated our models in an external dataset.

CONCLUSIONS

Machine learning-based prediction models offer the capability to anticipate the risk of AND across different pregnancy stages. This enables the earlier and more accurate identification of pregnant women who may be at risk, facilitating timely interventions for improving outcomes for both mothers and their offspring.

Prevalence and correlates of depressive and anxiety symptoms among pregnant women from an urban informal settlement in Nairobi, Kenya: a community-based cross-sectional study

PURPOSE

Previous research, largely from the Global North, reports high rates of common mental health disorders among women in the antenatal period, but there is paucity of such data in contexts like Kenya. This study investigated the prevalence and correlates of depressive and anxiety symptoms among pregnant women in an urban informal settlement in Kenya's capital - Nairobi.

METHODS

An analysis of baseline cross-sectional data from a pilot cluster randomized trial of an integrated early childhood development programme. Participants were pregnant women in their third pregnancy trimester (N = 249), residing in an urban informal settlement in Nairobi County. Mental health measures [(Patient health questionnaire (PHQ-9) and generalized anxiety disorder scale (GAD-7)] were administered alongside other sociodemographic, pregnancy, and health-related questionnaires. Linear regression analysis was performed to investigate correlates of antenatal depressive and anxiety symptoms.

RESULTS

Participant's mean age was 27.5 years (SD = 5.6). The prevalence of antenatal depressive and anxiety symptoms was 26.9% (95%CI: 21.4-32.4) and 6.4% (95%CI: 3.4-9.4), based on the PHQ-9 and GAD-7 cut-off scores of ≥ 10 respectively. Being married was a significant correlate for decreased depressive and anxiety symptoms. Higher levels of education (secondary or tertiary), history of three or more previous pregnancies, and an experience of moderate-to-extreme pain were significant correlates for elevated depressive symptoms. Similarly, tertiary level of education, history of four or more previous pregnancies, and experiencing pain were significant correlates for elevated anxiety symptoms for the pregnant women. Participants reporting feeling unwell had significantly higher anxiety symptom scores.

CONCLUSION

In this setting, correlates of antenatal depressive and anxiety symptoms cut across demographic, pregnancy and health-related factors with implications for targeted interventions. Findings point to the need for screening of depression and anxiety as part of routine antenatal care. Further research is needed to understand these contextual correlates.

TRIAL REGISTRATION

This study was part of the integrated early childhood development pilot cluster randomised control trial, retrospectively registered in the Pan African Clinical Trial Registry on 26/03/2021, registration number PACTR202103514565914.

A pathway study of factors influencing anxiety in patients with gestational diabetes mellitus

BACKGROUND

This study aims to assess anxiety severity among patients with and to elucidate the predominant psychological factors, informing the development of targeted anxiety management strategies.

METHODS

The cross-sectional study recruited 421 GDM patients via convenience sampling from Guangdong Province, China. Self-administered questionnaires, including the Pregnancy-related Anxiety Scale, Simplified Coping Style Questionnaire, Type D Personality Scale, Perceived Social Support Scale, and General Self-Efficacy Scale, were utilized to gather data. Data analysis was performed using Structural Equation Modeling (SEM) in AMOS 25.0 and SPSS 25.0.

RESULTS

Among patients with GDM, anxiety was significantly and positively associated with negative coping styles (β = 0.190, P < 0.01) and Type D personality (β = 0.167, P < 0.01), indicating their roles in exacerbating anxiety. In contrast, positive coping (β=-0.136, P < 0.01), perceived social support (β=-0.206, P < 0.01) and general self efficacy (β=-0.49, P < 0.01) had direct negative impacts on anxiety, suggesting their protective influence. Mediation analysis revealed that negative coping and Type D personality exerted significant mediating effects on anxiety, with the pathway from negative coping through Type D personality explaining 16% of the indirect effect (β = 2.302, 95% CI: 1.411 ~ 3.350) and the pathway from Type D personality through perceived social support explaining 32% of the indirect effect (β = 4.528, 95% CI: 3.231 ~ 5.913).

CONCLUSION

The study identifies key psychological modifiers of anxiety in GDM, suggesting that targeted psychological support could mitigate anxiety and improve pregnancy outcomes.

Association between chronic health conditions and severe acute respiratory syndrome in pregnant women: an exploratory study

OBJECTIVE

To analyze the association between chronic health conditions and severe acute respiratory syndrome in pregnant women.

METHOD

Retrospective, exploratory study conducted with 1,152 pregnant women from all 27 states of Brazil who sought hospital treatment and were diagnosed with severe acute respiratory syndrome between 2020 and 2022. Public data from the Influenza Epidemiological Surveillance Information System (SIVEP-Gripe) of the Brazilian Ministry of Health were used. Nonparametric tests were performed in data interpretation.

RESULTS

The mortality rate of pregnant women due to severe acute respiratory syndrome in Brazil was 7%. Severe acute respiratory syndrome was statistically associated with the previous presence of diabetes (p = 0.023), neurological disease (p = 0.001), and drug use (p = 0.001). The epidemiological investigation of respiratory syndrome cases took longer in Black pregnant women (p = 0.012), unvaccinated women (p < 0.001) and women living in the north and south of the country (p = 0.011).

CONCLUSION

Severe acute respiratory syndrome was more common in pregnant women with diabetes, neurological disease and drug users. However, these conditions did not lead to an increase in the number of deaths.

Profiles and associated factors of prenatal psychological symptoms and their association with health-related quality of life among pregnant women: a cross-sectional study

OBJECTIVES

To cluster prenatal psychological symptoms into different profiles and investigate prenatal psychological symptoms' sociodemographic, health-related and pregnancy-related factors. Furthermore, health-related quality of life was compared across prenatal psychological symptom profiles.

DESIGN

Cross-sectional study.

SETTING

Obstetrics clinics of two university-affiliated, governmental, tertiary hospitals in Xi'an City, Northwestern China.

PARTICIPANTS

Between June and August 2020, 1020 pregnant women who maintained their health assessment appointments at the two research sites participated in this study.

PRIMARY AND SECONDARY OUTCOME MEASURES

This study's primary outcome was the creation of latent profiles of prenatal psychological symptoms. These were represented by the coexisting symptoms of three common psychological disorders: depression measured using the eight-item Patient Health Questionnaire, anxiety measured using the Generalised Anxiety Disorder-7 and stress measured using the Pregnancy Stress Rating Scale. Secondary outcomes included potential sociodemographic, health-related and pregnancy-related factors associated with prenatal psychological symptoms, which were measured using a researcher-designed information sheet, and health-related quality of life, measured using the 5-Level EuroQol 5-Dimension questionnaire.

RESULTS

Prenatal psychological symptoms were classified into three latent profiles using latent profile analysis: low (62.9%), moderate (31.3%) and severe (5.8%). Factors associated with the severity of prenatal psychological symptoms included age, relationship with partner, relationship with mother-in-law, history of gynaecological diseases, history of dysmenorrhoea, stage of pregnancy, unplanned pregnancy, severity of vomiting symptoms and abnormal pregnancy indicators. Moreover, an inverse association was identified between the severity of prenatal psychological symptoms and health-related quality of life.

CONCLUSIONS

Considering the high prevalence of prenatal psychological symptoms and their adverse effects on health-related quality of life, the assessment of prenatal psychological symptoms should be integrated into prenatal healthcare and made routine practice. Investigating the relevant associated factors would be beneficial for identifying vulnerable individuals.

Risk factors for antenatal anxiety: a cross-sectional study in field antenatal clinics in Sri Lanka

OBJECTIVES

We aimed to determine the prevalence and factors affecting antenatal anxiety (AA) among Sri Lankan women.

DESIGN

We conducted a cross-sectional analysis of first trimester data from a population-based cohort of antenatal women.

SETTING

Field antenatal clinics of four field health areas in Colombo District, Sri Lanka.

PARTICIPANTS

Antenatal women (n=535) in the first trimester of pregnancy and aged ≥18 years were sequentially recruited when they attended antenatal clinics selected using random cluster sampling. Those with hearing difficulty, visual and speaking problems or currently on treatment for mental disorders were excluded.

MEASURES

We used an interviewer-administered questionnaire to collect data. The AA was identified using the validated Sinhala version of Perinatal Anxiety Screening Scale (PASS-S). Self-reported demographic and pregnancy-related information were verified against health records. Psychosocial risk factors were self-reported. We investigated the associations between potential risk factors and AA using regression models that included confounders identified through a directed acyclic graph and reported using adjusted odds ratios (ORs) with 95% confidence intervals (CIs).

RESULTS

The prevalence of AA during the first trimester of pregnancy, identified using a PASS threshold of ≥20, was 34.4% (n=184). We found several novel risk factors for AA, namely, physical (OR 2.1; 95% CI 1.4 to 3.2) and mental health problems of self (OR 2.3; 95% CI 1.2 to 4.4), physical (OR 2.1; 95% CI 1.4 to 3.4) and mental health problems of parents/spouse (OR 6.7; 95% CI 2.8 to 16.2), traumatic life situations (OR 2.7; 95% CI 1.5 to 4.8), substance abuse by the spouse (OR 3.5; 95% CI 1.9 to 6.6) and the spouse being away (OR 2.0; 95% CI 1.1 to 3.7). The other risk factors that we identified included domestic violence among family members (OR 6.4; 95% CI 1.3 to 31.0), loss of family support (OR 2.2; 95% CI 1.0 to 5.2), financial hardships (OR 1.7; 95% CI 1.0 to 2.8), accommodation-related issues (OR 2.2; 95% CI 1.0 to 4.9), unplanned pregnancy (OR 3.7; 95% CI 1.9 to 7.3), difficulties due to pregnancy (OR 2.0; 95% CI 1.1 to 3.4), changed or stopped education (OR 2.9; 95% CI 1.7 to 5.1), recent loss of employment (OR 2.9; 95% CI 1.2 to 7.0), recent death of a loved one (OR 3.5; 95% CI 2.0 to 5.9) and sleep problems during pregnancy (OR 1.6; 95% CI 1.1 to 2.3).

CONCLUSIONS

The prevalence of antenatal anxiety is high in Sri Lanka and is associated with several risk factors, not previously described, which are potentially modifiable.

Effects of pain, hospitalization, and medication on depressive symptom in Syrian patients with chronic diseases

Chronic diseases and pain exacerbate depressive symptom in Syria. Limited research on hospital-induced depressive symptom among Syrian patients with chronic diseases warrants further study. A cross-sectional study in four Damascus hospitals revealed high rates of pain and depressive symptom. This study aims to investigate the prevalence and severity of chronic pain and hospital-induced depressive symptom in Syrian patients, as well as the relationship between pain, depressive symptom, and medication behavior. This study analyzes the impact of pain, hospitalization, and medication on patients with chronic diseases. The four Damascus hospitals included 453 patients from various departments. Data were collected through structured interviews and internationally recognized scales such as the PSEQ, HADS, and MMAS. These findings offer insights into pain management and psychological well-being, with implications for patient care and support strategies. The study involved 453 patients with chronic diseases, with gender distribution showing 46.6% females and 53.4% males. The age range was from 7 to 87 years, with an average of 46.87 years. Chi-square tests revealed a significant connection between gender and HADS-A scores, where 48.3% of females had abnormalities (χ2 (1, N = 453) = 7.125, p = 0.028). Marital status was significantly associated with anxiety and depressive symptom levels, particularly among widowed and divorced patients. Employment status, education, and comorbidity were linked to abnormal HADS-A scores, while education level showed a positive correlation with HADS-D scores. ANOVA tests showed significant differences in MMAS scores across income groups (F (3, 449) = 3.167, p = 0.024), with a notable difference between low-income and lower-middle-income groups (mean difference = 0.389, p = 0.031. Chronic pain and HID are prevalent among Syrian patients with chronic diseases and influenced by socio-demographic factors. Personalized interventions are needed to address psychological symptoms and medication behavior.

Suicidal ideation in Chinese adolescents: prevalence, risk factors, and partial mediation by family support, a cross-sectional study

Background

Suicidal ideation is a pressing public health concern, particularly among adolescents. The objective of this study was to examine the prevalence of and factors associated with suicidal ideation in Chinese adolescents, addressing an important gap in current research.

Methods

This study employed an online survey of 3443 adolescents in Lianyungang, using a cross-sectional design. The assessment included the use of the Patient Health Questionnaire-9, the seven-item Generalized Anxiety Disorder instrument, and the Perceived Social Support Scale to evaluate suicidal ideation, anxiety symptoms, and social support in adolescents, respectively.

Results

In adolescents, the prevalence of suicidal ideation was 22.1%, with a significantly higher proportion among female adolescents than among males (27.9% vs 16.9%, P < 0.001). Binary regression analysis identified (OR = 1.788, 95% CI: 1.467-2.177, P < 0.001), anxiety symptoms (OR = 10.035, 95% CI: 7.441-13.534, P < 0.001), total PHQ-9 scores of mothers (OR = 1.040, 95%CI: 1.003 - 1.078, P = 0.034), total GAD-7 scores of mothers (OR = 0.958, 95%CI: 0.919 - 0.998, P = 0.039), and moderate parental relationships (OR = 2.042, 95% CI: 1.630-2.557, P < 0.001) to be risk factors for suicidal ideation; family support was a protective factor (OR = 0.888, 95% CI: 0.859-0.918, P < 0.001). Furthermore, family support partially mediates the relationship between anxiety symptoms and suicidal ideation among adolescents (9.28%).

Conclusions

This study highlights high adolescent suicidal ideation rates and recommends gender-specific interventions, anxiety management, and family support for improvement in mental health status.

Prevalence and factors associated with antenatal depressive symptoms across trimesters: a study of 110,584 pregnant women covered by a mobile app-based screening programme in Shenzhen, China

BACKGROUND

Antenatal depression is a significant public health issue affecting pregnant women both globally and in China. Using data from a mobile app-based screening programme, this study explored the prevalence and factors associated with antenatal depressive symptoms across different trimesters in Shenzhen.

METHODS

A retrospective cross-sectional study was conducted on pregnant women who gave birth in any hospital in Shenzhen between July 2021 and May 2022 and underwent depression screening using an official maternal and infant health mobile app at least once during pregnancy. Depressive symptoms were evaluated using the 9-item Patient Health Questionnaire (PHQ-9), with cut-off scores of 5 and 10 for mild and high level of symptoms, respectively. The prevalence for each trimester was determined by calculating the proportion of women scoring 5 or higher. A variety of sociodemographic, obstetric, psychological, and lifestyle factors were assessed for their association with depressive symptoms. Chi-square test and multivariate logistic regression were performed to identify significant predictors.

RESULTS

A total of 110,584 pregnant women were included in the study, with an overall prevalence of depressive symptoms of 18.0% and a prevalence of high-level symptoms of 4.2%. Depressive symptoms were most prevalent in the first trimester (10.9%) and decreased in the second (6.2%) and third trimesters (6.3%). Only a small proportion (0.4%) of women showed persistent depressive symptoms across all trimesters. Anxiety symptoms in early pregnancy emerged as the most significant predictor of depressive symptoms. Other factors linked to an increased risk throughout pregnancy include lower marital satisfaction, living with parents-in-law, experience of negative life events, as well as drinking before and during pregnancy. Factors associated with a reduced risk throughout pregnancy include multiparity and daily physical activity.

CONCLUSIONS

This large-scale study provides valuable insights into the prevalence and factors associated with antenatal depressive symptoms in Shenzhen. The findings underscore the need for targeted interventions for high-risk groups and the integration of mental health care into routine antenatal services. Continuous, dynamic monitoring of depressive symptoms for pregnant women and ensuring at-risk women receive comprehensive follow-up and appropriate psychological or psychiatric care are crucial for effectively addressing antenatal depression and improving maternal and infant health outcomes.

Pregnant Women's Dyadic Coping and Associated Factors: A Cross-Sectional Study Utilizing Latent Profile Analysis

Background

The problem of maternal mental health is a priority issue of global concern. Dyadic coping refers to the co-managing and making decisions between two parties in response to a joint stressful event. At present, china has limited focus on dyadic coping for pregnant women during pregnancy. This study aimed to investigate different categories and characteristics of dyadic coping in pregnant women throughout pregnancy and to analyze the factors that influence these categories.

Methods

This study was a cross-sectional, and 376 pregnant women who visited the obstetric clinic at a tertiary hospital in Sichuan province from June to September 2023 were interviewed face-to-face using convenience sampling. Data were collected using a sociodemographic questionnaire, dyadic coping scale, and family adaptability and cohesion evaluation scale. The data were imported into excel and exported to spss 27.0 to analyze the potential characteristics of pregnant women's dyadic coping during pregnancy and to explore the effects of this using univariate analysis and multifactorial logistic regression.

Results

A total of 376 valid questionnaires were collected. The results of the potential profile analysis showed that the dyadic coping of pregnant women during pregnancy could be categorized into three different groups: the "low coping group" (21.3%), the "general coping group" (67.5%), and the "high coping group" (11.2%). Multiple logistic regression analyses revealed that low monthly family income, early pregnancy, primipara, family adaptability and cohesion were the factors influencing the dyadic coping of pregnant women during pregnancy.

Conclusion

During pregnancy, pregnant women exhibit moderate levels of dyadic coping. Three different categories of dyadic coping patterns were exhibited: low coping group, general coping group, and high coping group, with significant heterogeneity. Therefore, there is a need to focus on the dyadic coping status of various categories of pregnant women and implement targeted couple and family-wide interventions.

Psychological impact and associated factors of the COVID-19 pandemic among pregnant women in Fafan Zone health institutions, Somali Region, Eastern Ethiopia, 2021

BACKGROUND

Despite pregnant women's vulnerability to respiratory illnesses and pregnancy complications during the COVID-19 pandemic, research on its psychological impact in the study area, is limited.

OBJECTIVE

This study aims to fill this gap by examining the prevalence and factors linked to the psychological impact among pregnant women in the Fafan zone, Somali region of Ethiopia.

METHODS

A cross-sectional study conducted from April 1st to April 30th, 2021, randomly selected health facilities for inclusion. The Impact of Event Scale-Revised (IES-R) assessed psychological impact, and data were analyzed using SPSS V 22. Variables with a p-value ≤ 0.25 in bivariate analysis were considered for multivariate analysis via multiple logistic regressions with the backward elimination method.

RESULTS

The study involved 294 pregnant women, constituting 73% of the respondents. The prevalence of psychological impact attributed to the COVID-19 pandemic was 27.2%. Factors such as being in the first trimester of pregnancy (AOR: 5.32), travel history to infected areas (AOR: 3.71), obtaining COVID-19 information from television (AOR: 4.81), and using social media for 1 to 2 hours daily for updates (AOR: 1.35) were significantly associated with this impact.

CONCLUSION

While the psychological impact among pregnant women in this study was relatively lower compared to other research, factors such as gestational age, TV media exposure, travel history, and social media usage for COVID-19 updates were strongly linked to this impact, highlighting the necessity for psychological support services for pregnant women during challenging times.

Are Providers Adequately Screening for Anxiety Symptoms During Pregnancy?

OBJECTIVE

To examine the difference in prevalence of self-reported anxiety symptoms throughout pregnancy compared to clinical diagnosis of an anxiety disorder by a provider.

DESIGN

Secondary data analysis of a prospective cohort study of 50 pregnant individuals.

SETTING/LOCAL PROBLEM

Pregnant individuals commonly experience heightened anxiety symptoms, which are associated with adverse perinatal outcomes. However, a diagnosis of an anxiety disorder by a health care provider is less common, which may result in insufficient mental health intervention.

PARTICIPANTS

Pregnant individuals were recruited at their first prenatal appointment and followed until birth.

INTERVENTION/MEASUREMENTS

We examined anxiety symptoms using the Edinburgh Postnatal Depression Scale Anxiety subscale. We conducted a medical record review to examine if pregnant individuals were clinically diagnosed with an anxiety disorder.

RESULTS

Based on an Edinburgh Postnatal Depression Scale Anxiety subscale cutoff score of ≥5, 40% (n = 20) of individuals experienced anxiety symptoms during pregnancy. However, only 16% (n = 8) of participants were diagnosed with an anxiety disorder by a health care provider.

CONCLUSION

Anxiety symptoms are prevalent throughout pregnancy and may be underdiagnosed by health care providers. An intervention to increase clinical diagnosis of an anxiety disorder and subsequent referral to a mental health specialist may be indicated.

The knowns and unknowns of long COVID-19: from mechanisms to therapeutical approaches

The coronavirus disease 2019 (COVID-19) pandemic caused by SARS-CoV-2 has been defined as the greatest global health and socioeconomic crisis of modern times. While most people recover after being infected with the virus, a significant proportion of them continue to experience health issues weeks, months and even years after acute infection with SARS-CoV-2. This persistence of clinical symptoms in infected individuals for at least three months after the onset of the disease or the emergence of new symptoms lasting more than two months, without any other explanation and alternative diagnosis have been named long COVID, long-haul COVID, post-COVID-19 conditions, chronic COVID, or post-acute sequelae of SARS-CoV-2 (PASC). Long COVID has been characterized as a constellation of symptoms and disorders that vary widely in their manifestations. Further, the mechanisms underlying long COVID are not fully understood, which hamper efficient treatment options. This review describes predictors and the most common symptoms related to long COVID's effects on the central and peripheral nervous system and other organs and tissues. Furthermore, the transcriptional markers, molecular signaling pathways and risk factors for long COVID, such as sex, age, pre-existing condition, hospitalization during acute phase of COVID-19, vaccination, and lifestyle are presented. Finally, recommendations for patient rehabilitation and disease management, as well as alternative therapeutical approaches to long COVID sequelae are discussed. Understanding the complexity of this disease, its symptoms across multiple organ systems and overlapping pathologies and its possible mechanisms are paramount in developing diagnostic tools and treatments.

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.