Dataset Information

Risk factors for anxiety and depression among pregnant women during the COVID-19 pandemic: Results of a web-based multinational cross-sectional study.

ABSTRACT:

Objective

To assess risk factors for anxiety and depression among pregnant women during the COVID-19 pandemic using Mind-COVID, a prospective cross-sectional study that compares outcomes in middle-income economies and high-income economies.

Methods

A total of 7102 pregnant women from 12 high-income economies and nine middle-income economies were included. The web-based survey used two standardized instruments, General Anxiety Disorder-7 (GAD-7) and Patient Health Questionnaire-9 (PHQ-9).

Result

Pregnant women in high-income economies reported higher PHQ-9 (0.18 standard deviation [SD], P < 0.001) and GAD-7 (0.08 SD, P = 0.005) scores than those living in middle-income economies. Multivariate regression analysis showed that increasing PHQ-9 and GAD-7 scales were associated with mental health problems during pregnancy and the need for psychiatric treatment before pregnancy. PHQ-9 was associated with a feeling of burden related to restrictions in social distancing, and access to leisure activities. GAD-7 scores were associated with a pregnancy-related complication, fear of adverse outcomes in children related to COVID-19, and feeling of burden related to finances.

Conclusions

According to this study, the imposed public health measures and hospital restrictions have left pregnant women more vulnerable during these difficult times. Adequate partner and family support during pregnancy and childbirth can be one of the most important protective factors against anxiety and depression, regardless of national economic status.

SUBMITTER: Kajdy A

PROVIDER: S-EPMC9538861 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature

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Publications

Risk factors for anxiety and depression among pregnant women during the COVID-19 pandemic: Results of a web-based multinational cross-sectional study.

Kajdy Anna A Sys Dorota D Pokropek Artur A Shaw Steven W SW Chang Tung-Yao TY Calda Pavel P Acharya Ganesh G Ben-Zion Maya M Biron-Shental Tal T Borowski Dariusz D Czuba Bartosz B Etchegaray Adolfo A Feduniw Stepan S Garcia-Mandujano Rosario R Santacruz Monica Garcia MG Gil Maria M MM Hassan Sonia S Kwiatkowski Sebastian S Martin-Arias Arancha A Martinez-Portilla Raigam Jafet RJ Prefumo Federico F Rabijewski Michał M Salomon Laurent J LJ Tiller Heidi H Verlohren Stefan S Voon Hian Yan HY Yanque-Robles Omar Fernando OF Yong Soon Leong SL Poon Liona C LC

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics 20220820 1

<h4>Objective</h4>To assess risk factors for anxiety and depression among pregnant women during the COVID-19 pandemic using Mind-COVID, a prospective cross-sectional study that compares outcomes in middle-income economies and high-income economies.<h4>Methods</h4>A total of 7102 pregnant women from 12 high-income economies and nine middle-income economies were included. The web-based survey used two standardized instruments, General Anxiety Disorder-7 (GAD-7) and Patient Health Questionnaire-9 ( ...[more]

PMID: 35932096

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Project description:IntroductionEvidence on perinatal mental health during the coronavirus disease 2019 (COVID-19) pandemic and its potential determinants is limited. Therefore, this multinational study aimed to assess the mental health status of pregnant and breastfeeding women during the pandemic, and to explore potential associations between depressive symptoms, anxiety, and stress and women's sociodemographic, health, and reproductive characteristics.Material and methodsA cross-sectional, web-based study was performed in Ireland, Norway, Switzerland, the Netherlands, and the UK between 16 June and 14 July 2020. Pregnant and breastfeeding women up to 3 months postpartum who were older than 18 years of age were eligible. The online, anonymous survey was promoted through social media and hospital websites. The Edinburgh Depression Scale (EDS), the Generalized Anxiety Disorder seven-item scale (GAD-7), and the Perceived Stress Scale (PSS) were used to assess mental health status. Regression model analysis was used to identify factors associated with poor mental health status.ResultsIn total, 9041 women participated (including 3907 pregnant and 5134 breastfeeding women). The prevalence of major depressive symptoms (EDS ≥ 13) was 15% in the pregnancy cohort and and 13% the breastfeeding cohort. Moderate to severe generalized anxiety symptoms (GAD ≥ 10) were found among 11% and 10% of the pregnant and breastfeeding women. The mean (±SD) PSS scores for pregnant and breastfeeding women were 14.1 ± 6.6 and 13.7 ± 6.6, respectively. Risk factors associated with poor mental health included having a chronic mental illness, a chronic somatic illness in the postpartum period, smoking, having an unplanned pregnancy, professional status, and living in the UK or Ireland.ConclusionsThis multinational study found high levels of depressive symptoms and generalized anxiety among pregnant and breastfeeding women during the COVID-19 outbreak. The study findings underline the importance of monitoring perinatal mental health during pandemics and other societal crises to safeguard maternal and infant mental health.

Project description:BackgroundThe 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.MethodsA 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.ResultsThe 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.ConclusionThe 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.

Project description:Intercountry comparability between studies on medication use in pregnancy is difficult due to dissimilarities in study design and methodology. This study aimed to examine patterns and factors associated with medications use in pregnancy from a multinational perspective, with emphasis on type of medication utilised and indication for use.Cross-sectional, web-based study performed within the period from 1 October 2011 to 29 February 2012. Uniform collection of drug utilisation data was performed via an anonymous online questionnaire.Multinational study in Europe (Western, Northern and Eastern), North and South America and Australia.Pregnant women and new mothers with children less than 1 year of age.Prevalence of and factors associated with medication use for acute/short-term illnesses, chronic/long-term disorders and over-the-counter (OTC) medication use.The study population included 9459 women, of which 81.2% reported use of at least one medication (prescribed or OTC) during pregnancy. Overall, OTC medication use occurred in 66.9% of the pregnancies, whereas 68.4% and 17% of women reported use of at least one medication for treatment of acute/short-term illnesses and chronic/long-term disorders, respectively. The extent of self-reported medicated illnesses and types of medication used by indication varied across regions, especially in relation to urinary tract infections, depression or OTC nasal sprays. Women with higher age or lower educational level, housewives or women with an unplanned pregnancy were those most often reporting use of medication for chronic/long-term disorders. Immigrant women in Western (adjusted OR (aOR): 0.55, 95% CI 0.34 to 0.87) and Northern Europe (aOR: 0.50, 95% CI 0.31 to 0.83) were less likely to report use of medication for chronic/long-term disorders during pregnancy than non-immigrants.In this study, the majority of women in Europe, North America, South America and Australia used at least one medication during pregnancy. There was a substantial inter-region variability in the types of medication used.

Project description:Background: Maternal depression and anxiety are significant public health concerns that play an important role in the health and well-being of mothers and children. The COVID-19 pandemic, the consequential lockdowns and related safety restrictions worldwide negatively affected the mental health of pregnant and postpartum women. Methods: This regional study aimed to develop a machine learning (ML) model for the prediction of maternal depression and anxiety. The study used a dataset collected from five Arab countries during the COVID-19 pandemic between July to December 2020. The population sample included 3569 women (1939 pregnant and 1630 postpartum) from five countries (Jordan, Palestine, Lebanon, Saudi Arabia, and Bahrain). The performance of seven machine learning algorithms was assessed for the prediction of depression and anxiety symptoms. Results: The Gradient Boosting (GB) and Random Forest (RF) models outperformed other studied ML algorithms with accuracy values of 83.3% and 83.2% for depression, respectively, and values of 82.9% and 81.3% for anxiety, respectively. The Mathew's Correlation Coefficient was evaluated for the ML models; the Naïve Bayes (NB) and GB models presented the highest performance measures (0.63 and 0.59) for depression and (0.74 and 0.73) for anxiety, respectively. The features' importance ranking was evaluated, the results showed that stress during pregnancy, family support, financial issues, income, and social support were the most significant values in predicting anxiety and depression. Conclusion: Overall, the study evidenced the power of ML models in predicting maternal depression and anxiety and proved to be an efficient tool for identifying and predicting the associated risk factors that influence maternal mental health. The deployment of machine learning models for screening and early detection of depression and anxiety among pregnant and postpartum women might facilitate the development of health prevention and intervention programs that will enhance maternal and child health in low- and middle-income countries.

Dataset Information

Risk factors for anxiety and depression among pregnant women during the COVID-19 pandemic: Results of a web-based multinational cross-sectional study.

Objective

Methods

Result

Conclusions

Publications

Risk factors for anxiety and depression among pregnant women during the COVID-19 pandemic: Results of a web-based multinational cross-sectional study.

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