The impact of the Covid-19 pandemic on postnatal anxiety and posttraumatic stress: Analysis of two population-based national maternity surveys in England.

BACKGROUND: Few studies have evaluated postnatal anxiety and posttraumatic stress (PTS) before and during the Covid-19 pandemic using comparable data across time. We used data from two national maternity surveys in England to explore the impact of the pandemic on prevalence and risk factors for postnatal anxiety and PTS. METHODS: Analysis was conducted using population-based surveys carried out in 2018 (n = 4509) and 2020 (n = 4611). Weighted prevalence estimates for postnatal anxiety and PTS were compared across surveys. Adjusted risk ratios (aRR) were estimated for the association between risk factors and postnatal anxiety and PTS. FINDINGS: Prevalence of postnatal anxiety increased from 13.7 % in 2018 to 15.1 % in 2020 (+1.4 %(95%CI:-0.4-3.1)). Prevalence of postnatal PTS increased from 9.7 % in 2018 to 11.5 % in 2020 (+1.8 %(95%CI:0.3-3.4)), due to an increase in PTS related to birth trauma from 2.5 % to 4.3 % (+1.8 %(95%CI:0.9-2.6); there was no increase in PTS related to non-birth trauma. Younger age (aRR = 1.31-1.51), being born in the UK (aRR = 1.29-1.59), long-term physical or mental health problem(s) (aRR = 1.27-1.94), and antenatal anxiety (aRR = 1.97-2.22) were associated with increased risk of postnatal anxiety and PTS before and during the pandemic, whereas higher satisfaction with birth (aRR = 0.92-0.94) and social support (aRR = 0.81-0.82) were associated with decreased risk. INTERPRETATION: Prevalence of postnatal PTS was significantly higher during the pandemic, compared to before the pandemic, due to an increase in PTS related to birth trauma. Prevalence of postnatal anxiety was not significantly higher during the pandemic. Risk factors for postnatal anxiety and PTS were similar before and during the pandemic.

Suicidal ideation in the perinatal period: findings from the Thailand-Myanmar border.

BACKGROUND: Suicide is a leading cause of maternal death globally. Migrant and refugee populations may experience higher risk of suicide. We report data on suicidal ideation from migrant and refugee women living on the Thailand-Myanmar border. METHODS: Women were recruited in their first trimester of pregnancy. Depression status was assessed by diagnostic interview in the first, second and third trimesters and at 1 month post-partum. We calculated prevalence of suicidal ideation and used logistic regression to identify associated socio-demographic factors. RESULTS: During the perinatal period, 5.3% (30/568) women experienced suicidal ideation. Refugee women were more likely to experience suicidal ideation than migrant women (8.0 versus 3.1%; P = 0.01). Most women with suicidal ideation did not have severe depression. Previous trauma (OR 2.32; 95% CI: 1.70-3.15) and unplanned pregnancy (OR 2.74; 95% CI: 1.10-6.86) were significantly associated with suicidal ideation after controlling for all other variables. CONCLUSIONS: Suicidal ideation represents an important symptom among migrant and refugee women on the Thailand-Myanmar border. Screening only those with severe depression may be insufficient to identify women at risk of suicide. Community-level interventions addressing social and gender inequalities and prioritization of family planning programmes are needed alongside targeted suicide prevention initiatives to help lower the rates of people dying by suicide.

Perinatal mental health in India: protocol for a validation and cohort study.

BACKGROUND: Common mental disorders (CMD) are among the largest contributors to global maternal morbidity and mortality. Although research on perinatal mental health in India has grown in recent years, important evidence gaps remain, especially regarding CMD. Our study aims to improve understanding of CMD among perinatal and non-perinatal women of reproductive age across two settings in India: Bangalore (Karnataka) and Tanda (Himachal Pradesh). METHODS: The study is embedded within the Maternal and Perinatal Health Research Collaboration India (MaatHRI). This mixed-methods observational study comprises three consecutive phases: (i) focus group discussions and individual interviews to explore women's knowledge and seek feedback on CMD screening tools; (ii) validation of CMD screening tools; and (iii) prospective cohort study to identify CMD incidence, prevalence and risk factors among perinatal and non-perinatal women. Results of the three phases will be analyzed using inductive thematic analysis, psychometric analysis and multivariable regression analysis, respectively. CONCLUSION: Improving understanding, detection and management of CMD among women is key to improving women's health and promoting gender equality. This study will provide evidence of CMD screening tools for perinatal and non-perinatal women in two diverse Indian settings, produce data on CMD prevalence, incidence and risk factors and enhance understanding of the specific contribution of the perinatal state to CMD.

Migration and perinatal mental health in women from low- and middle-income countries: a systematic review and meta-analysis.

BACKGROUND: Migrant women are at risk of perinatal mental disorders due to stressors experienced before, during and after migration. OBJECTIVES: This systematic review and meta-analysis summarises the prevalence, associated factors and interventions for perinatal mental disorders in migrant women from low- and middle-income countries (LMIC). SEARCH STRATEGY: We systematically searched nine electronic databases and the grey literature using a predefined search strategy. SELECTION CRITERIA: Studies were included if they assessed pregnant or postpartum migrants from LMIC, used a structured tool and a case-control, cross-sectional, cohort or intervention study design. DATA COLLECTION AND ANALYSIS: Data was double-extracted. We calculated pooled prevalence of depression and weighted mean anxiety and depression scores. We calculated crude odds ratios from risk factor studies and summarised intervention studies descriptively. MAIN RESULTS: Forty studies were identified from 10 123 references. Pooled prevalence was 31% [95% condidence interval (CI) 23%-40%] for any depressive disorder and 17% (95% CI 12-23%) for major depressive disorder. Previous depression and lower social support were associated with perinatal depression. There were insufficient data to assess the burden of anxiety, post-traumatic stress disorder or psychosis in this population. CONCLUSIONS: One in three migrant women from LMIC experiences symptoms of perinatal depression. Social support is an important protective factor. Evidence on LMIC women relocating to other LMIC is lacking. Given the adverse consequences of perinatal mental illness on women and their children, further research in low-resource settings is a priority. TWEETABLE ABSTRACT: One in three migrant women from low- and middle-income countries has symptoms of perinatal depression.

Estimate of 2009 H1N1 influenza cases in Shenzhen--the biggest migratory city in China.

The 2009 novel H1N1 influenza pandemic had a significant impact on Shenzhen's population with 2063 laboratory-confirmed human H1N1 cases and five deaths being reported. We used parameters from two population-based surveys and the Shenzhen Influenza Surveillance System to estimate the total number of H1N1 influenza infections in Shenzhen in the 2009 pandemic. The attack rate of influenza-like illness (ILI) in family households was 11·2% (95% CI 9·4-13·0), with 80·2% (95% CI 77·8-82·5) seeking medical care. The ILI attack rate in workers was 38·1% (95% CI 34·3-41·7) with 72·5% (95% CI 66·9-78·0) seeking medical care. The average H1N1 positive rate in individuals reporting ILI and testing by polymerase chain reaction was 22·7%. A total of 611 000-768 000 people, or 4·7-5·9% of the Shenzhen population, are estimated to have experienced H1N1 influenza. The estimated total number of cases of H1N1 is likely to be 330 times greater than the number of laboratory-confirmed cases.