We conducted an anonymous online cross-sectional survey of pregnant and postpartum women in 64 countries between May and June 2020. Participation was voluntary and no personal identifiers were collected. All potential participants were informed of the research objectives, as well as the standards of confidentiality regarding the use of the data. The survey, hosted on the Pregistry platform for COVID-19 studies (https://corona.pregistry.com), was advertised predominantly across social media platforms and online parenting forums. The advertisements and survey were made available in 12 languages (Arabic, English, French, German, Italian, Korean, Portuguese, Russian, Spanish, Simplified Chinese, Turkish, and Urdu) with translation undertaken by humans. Interested participants were invited to follow a link to take the survey. The survey collected standard demographic data and included questions that addressed topics such as COVID-19 exposure and worries, lifestyle changes, media exposure, protective factors, and mental health.
Participants
Women who self-identified as being 18 years of age or older at the time of the survey, and as currently pregnant or having given birth within the past six months, were eligible to participate. The study was classified exempt by the Harvard Longwood Campus Institutional Review Board (HLC IRB) per the regulations found at 45 CFR 46.104(d)(2) on the basis that it posed no greater than minimal risk and that the recorded information was non-disclosive in nature. The total number of participants at the close of enrollment was 7,561 across 64 countries.
COVID-19 worries
Participants were asked to rate their overall level of worry about COVID-19 on a Likert Scale ranging from 1 for “not worried at all” to 4 for “very worried” (33). They were then asked to endorse fifteen specific worries on a list developed for this study. Exploratory factor analyses were conducted to identify domains within the questionnaire with oblimin rotation on a tetrachoric correlation matrix due to the binary nature of the variables. Details of the factor analyses are presented with the supplementary material. Worries were categorized into the following domains: social (parents/grandparents unable to visit, family unable to visit, not able to have a baby shower, not able to attend a funeral), COVID-19 infection-related (participant or partner will bring infection home, family or friends will get COVID-19), child-related (no adequate childcare, other children will get COVID-19), delivery-related (partner not present during delivery, changes to delivery plan, unborn baby will get COVID-19, not able to breastfeed), economic (significantly affect economic situation/finances), and missing doctor appointments.
Sociodemographic factors and potential confounders
Standard socio-demographic measures were collected including age, education (categorized as never attended school, elementary school, some high school, high school graduate or general equivalency diploma (GED), some college/university, college diploma or university degree, master’s degree, professional degree, doctoral degree), self-identified race/ethnicity (categorized as White/Caucasian, Latina/Hispanic, Asian, South Asian, Black, Middle Eastern, Native Hawaiian or Other Pacific Islander, American Indian or Alaska Native, Other/Multiracial), employment status (healthcare worker in a hospital or clinic, worked in a nursing home, essential/key worker, none of these, don’t know), medical coverage status, marital status (married, living with partner, divorced, separated, single, widowed), weeks pregnant/postpartum (first trimester 0 to <13 weeks, second trimester 13 to <28 weeks, third trimester 28+ weeks, postpartum). Participants indicated their country of residence which was classified by region for analytic purposes.
All methods carried out in this study were in accordance with relevant guidelines and regulations. All participants indicated their written conformity with a Permission to Take Part in a Human Research Study document. The requirement for a signed consent form was classified exempt by the Harvard Longwood Campus Institutional Review Board (HLC IRB, Protocol #: IRB20-0905) per the regulations found at 45 CFR 46.104(d)(2) on the basis that this study posed no greater than minimal risk and that the recorded information was non-disclosive in nature.
Statistical Methods
Simple tabulations and cross-tabulations were used to describe the sample (counts and percentages for categorical variables and means and standard deviation (SD) for those that were continuous). Whenever applicable, a z-test for proportions was implemented to compare responses across groups. P-values <0.05 were considered statistically significant. All descriptive analyses were conducted with the programming language R (34), using the dplyr and expss packages.
Conditional logistic regression models were undertaken to determine the odds of each group of having a higher/lower worry level compared to other groups adjusting for potential confounders. Odds ratios (OR) and 95% confidence intervals (CI) were computed for each relevant variable. Worry level (1=Not worried at all, 2=Not very worried, 3=Somewhat worried, 4=Very worried) was modelled in five separate models: demographic factors, psychological constructs, media exposure variables, levels of support from family and friends, and stress levels around family and friends. All regression analyses were performed using the polr function in the R Package ‘MASS’.