Feeling the Void: Lack of Support for Isolation and Sleep Difficulties in Pregnant Women during the COVID-19 Pandemic Revealed by Twitter Data Analysis

Women's mental health and COVID-19: increased vulnerability and inequalities

Introduction

The impact of COVID-19 on mental health has become a relevant object of research. Studies have demonstrated that women have experienced greater mental health challenges, highlighting the importance of public health systems to address women's specific needs.

Methods

This literature review explores the effects of the coronavirus pandemic on psychological distress among women, aiming to provide a comprehensive understanding of the subject and to explore how these research findings can guide public mental health care responses in crisis settings. A total of 131 studies were analyzed and four dimensions were discussed: study characteristics, factors impacting women's mental health in the pandemic setting, particularities of pregnancy and the postpartum period, and proposed interventions. Most studies exclusively addressed populations of adult women, predominantly during pregnancy and the postpartum period.

Results

Anxiety, depression, and stress were the most common outcomes. Lower education and income, preexisting mental health problems, and living alone or with children were risk factors for higher levels of anxiety and depression.

Discussion

A comprehensive care approach supported by public health policies and focused on intersectional factors, including race, socioeconomic status, and access to resources, is necessary to improve women's mental health care response in future crises.

Twitter discussions on breastfeeding during the COVID-19 pandemic

BACKGROUND

Breastfeeding is a critical health intervention in infants. Recent literature reported that the COVID-19 pandemic resulted in significant mental health issues in pregnant and breastfeeding women due to social isolation and lack of direct professional support. These maternal mental health issues affected infant nutrition and decreased breastfeeding rates during COVID-19. Twitter, a popular social media platform, can provide insight into public perceptions and sentiment about various health-related topics. With evidence of significant mental health issues among women during the COVID-19 pandemic, the perception of infant nutrition, specifically breastfeeding, remains unknown.

METHODS

We aimed to understand public perceptions and sentiment regarding breastfeeding during the COVID-19 pandemic through Twitter analysis using natural language processing techniques. We collected and analyzed tweets related to breastfeeding and COVID-19 during the pandemic from January 2020 to May 2022. We used Python software (v3.9.0) for all data processing and analyses. We performed sentiment and emotion analysis of the tweets using natural language processing libraries and topic modeling using an unsupervised machine-learning algorithm.

RESULTS

We analyzed 40,628 tweets related to breastfeeding and COVID-19 generated by 28,216 users. Emotion analysis revealed predominantly "Positive emotions" regarding breastfeeding, comprising 72% of tweets. The overall tweet sentiment was positive, with a mean weekly sentiment of 0.25 throughout, and was affected by external events. Topic modeling revealed six significant themes related to breastfeeding and COVID-19. Passive immunity through breastfeeding after maternal vaccination had the highest mean positive sentiment score of 0.32.

CONCLUSIONS

Our study provides insight into public perceptions and sentiment regarding breastfeeding during the COVID-19 pandemic. Contrary to other topics we explored in the context of COVID (e.g., ivermectin, disinformation), we found that breastfeeding had an overall positive sentiment during the pandemic despite the documented rise in mental health challenges in pregnant and breastfeeding mothers. The wide range of topics on Twitter related to breastfeeding provides an opportunity for active engagement by the medical community and timely dissemination of advice, support, and guidance. Future studies should leverage social media analysis to gain real-time insight into public health topics of importance in child health and apply targeted interventions.

Experiences of women in prenatal, childbirth, and postpartum care during the COVID-19 pandemic in selected cities in Brazil: The resignification of the experience of pregnancy and giving birth

The COVID-19 pandemic has impacted public and private health systems around the world, impairing good practices in women's health care. However, little is known about the experiences, knowledge, and feelings of Brazilian women in this period. The objective was to analyze the experiences of women, seen at maternity hospitals accredited by the Brazilian Unified Health System (SUS, acronym in Portuguese), regarding health care during pregnancy, childbirth, and postpartum periods, their interpersonal relationships, and perceptions and feelings about the pandemic. This was a qualitative, exploratory research, carried out in three Brazilian municipalities with women hospitalized in 2020, during pregnancy, childbirth, or postpartum period, with COVID-19 or not. For data collection, semi-structured individual interviews (in person, by telephone, or by digital platform) were conducted, recorded and transcribed. The content analysis of thematic modalities was displayed as per the following axes: i) Knowledge about the disease; ii) Search for health care in prenatal, childbirth, and postpartum periods; iii) Experience of suffering from COVID-19; iv) Income and work; and v) Family dynamics and social support network. A total of 46 women were interviewed in São Luís-MA, Pelotas-RS, and Niterói-RJ. Use of media was important to convey information and fight fake news. The pandemic negatively impacted access to health care in the prenatal, childbirth, and postpartum periods, contributing to worsening of the population's social and economic vulnerabilities. Women experienced diverse manifestations of the disease, and psychic disorders were very frequent. Social isolation during the pandemic disrupted the support network of these women, who found social support strategies in communication technologies. Women-centered care-including qualified listening and mental health support-can reduce the severity of COVID-19 cases in pregnant, parturient, and postpartum women. Sustainable employment and income maintenance policies are essential to mitigate social vulnerabilities and reduce risks for these women.

Impact of the COVID-19 pandemic on maternal mental health, early childhood development, and parental practices: a global scoping review

BACKGROUND

In March 2020, the COVID-19 outbreak was declared a pandemic by the World Health Organization (WHO), generating stark economic and social repercussions that directly or indirectly affected families' wellbeing and health status.

AIMS

This review aims at mapping the existing evidence on the impact of the COVID-19 pandemic on maternal mental health, early childhood development, and parental practices, worldwide, to identify evidence gaps and better inform future delivery of care and health policy measures.

METHODS

Following the protocol defined by PRISMA-ScR, this scoping review has searched for relevant studies published between January 2020 and June 2021, selecting evidence sources based on pre-established criteria. From a total of 2,308 articles, data were extracted from 537 publications from 35 countries on all three health domains.

RESULTS

The combined stressors brought forth by the pandemic have exerted a heavy burden on the mental health of mothers and the development of young children, partly mediated by its impact on parental practices.

CONCLUSIONS

Despite remaining gaps, we have identified sufficient evidence pointing to an urgent need for more concerted global research efforts and rapid policy responses to timely address severe and pervasive negative impacts to the mental health of mothers and children at a key developmental stage.

The Influence of Social Media on the Perception of Autism Spectrum Disorders: Content Analysis of Public Discourse on YouTube Videos

BACKGROUND

Little is known about how social media shapes the public's perception of autism spectrum disorder (ASD). We used a media content analysis approach to analyze the public's perception of ASD.

METHODS

We conducted a YouTube search in 2019 using keywords related to ASD. The first 10 videos displayed after each search that met the eligibility criteria were selected for analysis. The final sample size of videos analyzed was 50. The top 10 comments from each respective video were selected for commentary analysis. A total of 500 comments were used for this study. Videos and comments were categorized based on sentiment, evident themes, and subthemes. In 2022, using the same key words, we conducted a subsequent YouTube search using the same criteria, except that the videos had to be 10 min or less, whereby nine videos were selected out of 70 for commentary analysis, and a total of 180 comments were used.

RESULTS

The dominant themes were "providing educational information on ASD characteristics" with the main subtheme being "no specific age or sex focus". The most common category of comments was "anecdote". The overwhelming sentiments of both the videos and comments were "mixed". Individuals with ASD were stigmatized as not being able to understand emotion. Furthermore, ASD was also stigmatized as being a monolithic condition only manifesting itself in the most severe form when autism varies in severity.

INTERPRETATION

YouTube is a powerful tool that allows people and organizations to raise awareness about ASD by providing a more dynamic view on autism and fostering an environment for public empathy and support.

Understanding the Response of Canadians to the COVID-19 Pandemic Using the Kübler-Ross Model: Twitter Data Analysis

Coronavirus disease 2019 (COVID-19) was declared a pandemic in March 2020, which led to the implementation of non-pharmaceutical interventions that had inadvertent physical, mental and social effects. The purpose of this retrospective study was to examine the experiences and responses of Canadians to these interventions on Twitter using the Kübler-Ross Change Curve (KRCC) during the first six months of the pandemic. Tweets were analyzed using sentiment analysis, thematic content analysis and KRCC. The findings highlight that many Canadians attempted to adapt to the changes but had a predominantly negative outlook on policies due to the financial and social repercussions.

Estimation of Bedtimes of Reddit Users: Integrated Analysis of Time Stamps and Surveys

BACKGROUND

Individuals with later bedtimes have an increased risk of difficulties with mood and substances. To investigate the causes and consequences of late bedtimes and other sleep patterns, researchers are exploring social media as a data source. Pioneering studies inferred sleep patterns directly from social media data. While innovative, these efforts are variously unscalable, context dependent, confined to specific sleep parameters, or rest on untested assumptions, and none of the reviewed studies apply to the popular Reddit platform or release software to the research community.

OBJECTIVE

This study builds on this prior work. We estimate the bedtimes of Reddit users from the times tamps of their posts, test inference validity against survey data, and release our model as an R package (The R Foundation).

METHODS

We included 159 sufficiently active Reddit users with known time zones and known, nonanomalous bedtimes, together with the time stamps of their 2.1 million posts. The model's form was chosen by visualizing the aggregate distribution of the timing of users' posts relative to their reported bedtimes. The chosen model represents a user's frequency of Reddit posting by time of day, with a flat portion before bedtime and a quadratic depletion that begins near the user's bedtime, with parameters fitted to the data. This model estimates the bedtimes of individual Reddit users from the time stamps of their posts. Model performance is assessed through k-fold cross-validation. We then apply the model to estimate the bedtimes of 51,372 sufficiently active, nonbot Reddit users with known time zones from the time stamps of their 140 million posts.

RESULTS

The Pearson correlation between expected and observed Reddit posting frequencies in our model was 0.997 on aggregate data. On average, posting starts declining 45 minutes before bedtime, reaches a nadir 4.75 hours after bedtime that is 87% lower than the daytime rate, and returns to baseline 10.25 hours after bedtime. The Pearson correlation between inferred and reported bedtimes for individual users was 0.61 (P<.001). In 90 of 159 cases (56.6%), our estimate was within 1 hour of the reported bedtime; 128 cases (80.5%) were within 2 hours. There was equivalent accuracy in hold-out sets versus training sets of k-fold cross-validation, arguing against overfitting. The model was more accurate than a random forest approach.

CONCLUSIONS

We uncovered a simple, reproducible relationship between Reddit users' reported bedtimes and the time of day when high daytime posting rates transition to low nighttime posting rates. We captured this relationship in a model that estimates users' bedtimes from the time stamps of their posts. Limitations include applicability only to users who post frequently, the requirement for time zone data, and limits on generalizability. Nonetheless, it is a step forward for inferring the sleep parameters of social media users passively at scale. Our model and precomputed estimated bedtimes of 50,000 Reddit users are freely available.

The effect of Augmented-Reality media-based health education on healthy lifestyle knowledge, attitude, and healthy lifestyle behaviors among pregnant women during COVID-19 pandemic in Jakarta, Indonesia

Pregnancy is a critical period. Pregnant women need to perform healthy lifestyle behavior in order to ensure good fetal development. During COVID-19 pandemic, Augmented-Reality (AR) media may be used in pregnant women health education. However, there is a lack of research that investigated the effect of AR media use in pregnant women health education. Therefore, this research aimed to investigate the impact of AR media use on healthy lifestyle knowledge, attitude, and behaviors among pregnant women during COVID-19 pandemic. This cohort-longitudinal study involved 86 pregnant women aged 18-45 years. The subjects who participated in this research received health education interventions using AR media for 5 months. The data collection was performed at the pre-post-intervention through a survey with questionnaire. Changes in subjects' healthy lifestyle knowledge, attitude, and behaviors were analyzed by using t-test. The research results show that the AR media use in health education significantly improved the subjects' scores for healthy lifestyle knowledge (5.0 ± 10.9; p < .05) and behaviors (9.7 ± 17.5; p < .05). However, the subject score for attitude was not significantly improved (0.3 ± 7.1; p ≥ .05). This research results provide evidence of the importance of using AR media in health education for pregnant women during COVID-19 pandemic.

Sentiment Analysis of Insomnia-Related Tweets via a Combination of Transformers Using Dempster-Shafer Theory: Pre- and Peri-COVID-19 Pandemic Retrospective Study

BACKGROUND

The COVID-19 pandemic has imposed additional stress on population health that may result in a change of sleeping behavior.

OBJECTIVE

In this study, we hypothesized that using natural language processing to explore social media would help with assessing the mental health conditions of people experiencing insomnia after the outbreak of COVID-19.

METHODS

We designed a retrospective study that used public social media content from Twitter. We categorized insomnia-related tweets based on time, using the following two intervals: the prepandemic (January 1, 2019, to January 1, 2020) and peripandemic (January 1, 2020, to January 1, 2021) intervals. We performed a sentiment analysis by using pretrained transformers in conjunction with Dempster-Shafer theory (DST) to classify the polarity of emotions as positive, negative, and neutral. We validated the proposed pipeline on 300 annotated tweets. Additionally, we performed a temporal analysis to examine the effect of time on Twitter users' insomnia experiences, using logistic regression.

RESULTS

We extracted 305,321 tweets containing the word insomnia (prepandemic tweets: n=139,561; peripandemic tweets: n=165,760). The best combination of pretrained transformers (combined via DST) yielded 84% accuracy. By using this pipeline, we found that the odds of posting negative tweets (odds ratio [OR] 1.39, 95% CI 1.37-1.41; P<.001) were higher in the peripandemic interval compared to those in the prepandemic interval. The likelihood of posting negative tweets after midnight was 21% higher than that before midnight (OR 1.21, 95% CI 1.19-1.23; P<.001). In the prepandemic interval, while the odds of posting negative tweets were 2% higher after midnight compared to those before midnight (OR 1.02, 95% CI 1.00-1.07; P=.008), they were 43% higher (OR 1.43, 95% CI 1.40-1.46; P<.001) in the peripandemic interval.

CONCLUSIONS

The proposed novel sentiment analysis pipeline, which combines pretrained transformers via DST, is capable of classifying the emotions and sentiments of insomnia-related tweets. Twitter users shared more negative tweets about insomnia in the peripandemic interval than in the prepandemic interval. Future studies using a natural language processing framework could assess tweets about other types of psychological distress, habit changes, weight gain resulting from inactivity, and the effect of viral infection on sleep.

Psychological Distress and Behavioural Changes in Pregnant and Postpartum Individuals During the COVID-19 Pandemic

OBJECTIVES

To determine the psychological and behavioural effects of the COVID-19 pandemic on a Canadian cohort of individuals during pregnancy and the postpartum period.

METHODS

In 2020, individuals between 20 weeks gestation and 3 months postpartum receiving maternity care from an urban Canadian clinic were invited to complete a questionnaire. The purpose-built questionnaire used validated scales including the Medical Outcomes Study Social Support Survey (MOS), Depression, Anxiety, and Stress Scale (DASS-21), Edinburgh Postnatal Depression Scale (EPDS), and questions from a SARS study.

RESULTS

One hundred nine people completed the questionnaire (response rate, 55%) of whom 57% (n = 62) were postpartum. Most respondents (107, 98%) were married and had completed post-secondary education (104, 95%). Despite these protective factors, moderate to severe levels of depression (22%), anxiety (19%) and stress (27%), were recorded using the DASS-21, and 25% of participants (26) had depression (score ≥11) using the EPDS. Despite high social support in all MOS domains (median scores 84-100), a majority of participants reported loneliness (69, 67%) and were nearly or totally housebound (65, 64%). About half of participants worried about themselves (50, 46.3%) or their baby (59, 54%) contracting COVID-19, while the majority postponed (80, 74.1%) and cancelled (79, 73.2%) prenatal appointments. Being homebound or feeling lonely / lacking support were significant risk factors for psychological distress (P = 0.02) whereas exercise and strong social support were protective (P < 0.05).

CONCLUSION

Pregnant and postpartum individuals experienced moderate to severe depression, anxiety, and stress during the COVID-19 pandemic. Exercise and strong social support were protective. Health care provider enquiry of home circumstances and activity may identify individuals needing enhanced supports.

Physical Health, Media Use, Stress, and Mental Health in Pregnant Women during the COVID-19 Pandemic

Background: The COVID-19 pandemic has led to significant changes in the care of pregnant women and their fetuses. Emerging data show elevated depression and anxiety symptoms among pregnant women. Aims: The purpose of this article is to investigate the psychological and behavioral impact of the COVID-19 pandemic on pregnant women in Greece during the first national lockdown. Methods: We used a cross-sectional, anonymous survey to collect data in two fetal medicine clinics in the largest urban centers of Greece during the months of April and May 2020. The questionnaire was largely based on the CoRonavIruS Health Impact Survey (CRISIS), and assessed sociodemographic characteristics, general health and obstetric data and COVID-19-related worries and life changes. Mood symptoms, substance use and lifestyle behaviors were assessed at two time points (3 months prior to the pandemic and the 2 weeks before taking the survey), while perceived stress was measured with the perceived stress scale (PSS-14). Results: A total of 308 pregnant women (Mage = 34.72), with a mean gestation of 21.19 weeks participated in the study. Over one-third of the women found COVID-19 restrictions stressful, and their highest COVID-19-related worry was having to be isolated from their baby. Mean PSS-14 score was 21.94, suggesting moderate stress. The strongest predictors of stress were physical and mental health status before COVID-19 and having experienced a stressful life event during their pregnancy. Compared to 3 months before the pandemic, women reported higher scores on mood symptoms (p < 0.001), TV use (p = 0.01) and social media use (p = 0.031) in the last 2 weeks before taking the survey. Conclusion: Our study provides important preliminary evidence of the negative impact of the COVID-19 pandemic and the lockdown on pregnant women’s well-being and functioning.

Maternidade em tempos de pandemia de Covid-19: o que nos revelam as mães atendidas em um hospital de referência

A pandemia de Covid-19 afetou todas as esferas da nossa vida. Mulheres no período perinatal têm necessidades únicas, demandando diretrizes de saúde e segurança devido aos riscos do isolamento social. Objetivou-se conhecer a vivência de mulheres na gestação ou puerpério no contexto da pandemia durante atendimento em hospital de referência. Estudo qualitativo pautado em referenciais da integralidade do cuidado e cotidiano. Participaram 18 mulheres, gestantes e puérperas. Três temas emergiram: repercussões na gestação e puerpério; repercussões na vida prática; e estratégias de enfrentamento criadas pelas mulheres. Os relatos desvelam diferentes repercussões da pandemia na vida das mulheres e de suas famílias, bem como estratégias e cuidados usados para mitigar os efeitos adversos. Sugere-se o direcionamento de medidas preventivas e políticas públicas que priorizem mulheres grávidas e puérperas, reconhecendo e acolhendo questões subjetivas envolvidas nesse momento na vida da mulher.

Pregnant during the COVID-19 pandemic: an exploration of patients' lived experiences

BACKGROUND

Infectious outbreaks are known to cause fear and panic. Exploration of pregnant individuals' psychosocial condition using a qualitative lens during an infectious outbreak is limited. In this study we explore pregnant individuals' lived experiences as well as their psychological and behavioural responses during COVID-19 with the goal of providing useful strategies from the patient's perspective to enable health care providers to help pregnant patients navigate this and future pandemics.

METHODS

Pregnant individuals between 20-weeks gestation and 3 months postpartum who received maternity care from an urban academic interprofessional teaching unit in Toronto, Canada were invited to participate. Semi-structured 60 min interviews were audio-recorded, transcribed and analyzed using descriptive thematic analysis. Interview questions probed psychological responses to the pandemic, behavioural and lifestyle changes, strategies to mitigate distress while pregnant during COVID-19 and advice for other patients and the healthcare team.

RESULTS

There were 12 participants, mean age 35 years (range 30-43 years), all 1 to 6 months postpartum. Six main themes emerged: 1) Childbearing-related challenges to everyday life; 2) Increased worry, uncertainty and fear; 3) Pervasive sense of loss; 4) Challenges accessing care; 5) Strategies for coping with pandemic stress; 6) Reflections and advice to other pregnant people and health care professionals. Pregnant individuals described lack of social support due to COVID-19 pandemic restrictions and a profound sense of loss of what they thought their pregnancy and postpartum period should have been. Advice to healthcare providers included providing mental health support, clear and up to date communication as well as more postpartum and breastfeeding support.

CONCLUSIONS

These participants described experiencing psychosocial distress during their pregnancies and postpartum. In a stressful situation such as a global pandemic, health care providers need to play a pivotal role to ensure pregnant individuals feel supported and receive consistent care throughout the pregnancy and postpartum period. The health care provider should ensure that mental health concerns are addressed and provide postpartum and breastfeeding support. Without addressing this need for support, parental mental health, relationships, parent-infant bonding, and infant development may be negatively impacted.

Understanding the emotional response to COVID-19 information in news and social media: A mental health perspective

The impact of the COVID-19 pandemic and ensuing social restrictions has been profound, affecting the health, livelihoods, and wellbeing of populations worldwide. Studies have shown widespread effects on mental health, with an increase in stress, loneliness, and depression symptoms related to the pandemic. Media plays a critical role in containing and managing crises, by informing society and fostering positive behavior change. Social restrictions have led to a large increase in reliance on online media channels, and this can influence mental health and wellbeing. Anxiety levels, for instance, may be exacerbated by exposure to COVID-related content, contagion of negative sentiment among social networks, and "fake news." In some cases, this may trigger abstinence, leading to isolation and limited access to vital information. To be able to communicate distressing news during crises while protecting the wellbeing of individuals is not trivial; it requires a deeper understanding of people's emotional response to online and social media content. This paper selectively reviews research into consequences of social media usage and online news consumption for wellbeing and mental health, focusing on and discussing their effects in the context of the pandemic. Advances in Artificial Intelligence and Data Science, for example, Natural Language Processing, Sentiment Analysis, and Emotion Recognition, are discussed as useful methods for investigating effects on population mental health as the pandemic situation evolves. We present suggestions for future research, and for using these advances to assess large data sets of users' online content, to potentially inform strategies that enhance the mental health of social media users going forward.

Advances of Sentiment Analysis Applications in Obstetrics/Gynecology and Midwifery

BACKGROUND

Sentiment analysis, which is also referred to as 'opinion mining' or 'emotion AI', processes natural language, analyzes text and employs computational linguistics, and biometrics to identify and analyze emotions and subjective information. Sentiment analysis is mostly applied in domains such as marketing and customer service but also in clinical medicine. Clinical medicine- related sentiment analysis has advanced recently, as more and more researchers are performing studies with the help of this valuable technique, having noticed its ability to contribute in the field.

OBJECTIVE

The aim of this review was to present important facts about sentimental analysis described in deposited articles in on-line databases and the relevant articles critically appraised and a narrative synthesis conducted.

METHODS

A systematic search of four electronic databases (PubMed, APA PsycINFO, SCOPUS, ScienceDirect) was performed. This review considered only quantitative, primary studies in English language, without geographical limitations, published from 2006-2021 and relevant to the objective. Searching terms were 'Sentiment analysis' AND 'Obstetrics' OR 'pregnancy', OR 'COVID' OR 'Perinatal distress' OR 'postpartum period' OR 'fetal' OR 'breast feeding' OR 'cervical'.

RESULTS AND DISCUSSION

Relevant articles were critically appraised and a narrative synthesis was conducted. As a large number of studies, illustrates the use of sentiment analysis in the domain of clinical medicine, it is proved to be extremely helpful, assisting in the investigation of some highly important and even previously unexplored issues.

CONCLUSION

Since pregnant women express their thoughts and feelings more openly than ever before, sentiment analysis is becoming an essential tool to monitor and understand that sentiment. Given the vast knowledge sentiment analysis has already offered, further studies employing this technique are expected in the future.

What can internet users' behaviours reveal about the mental health impacts of the COVID-19 pandemic? A systematic review

OBJECTIVES

At the end of 2019, an acute infectious pneumonia (coronavirus disease 2019 [COVID-19]) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) began in Wuhan, China, and subsequently spread around the world starting a pandemic. Globally, to date, there have been >118 million confirmed cases, including >2 million deaths. In this context, it has been shown that the psychological impact of the pandemic is important and that it can be associated with an increase in internet searches related to fear, anxiety, depression, as well as protective behaviours, health knowledge and even maladaptive behaviours.

STUDY DESIGN

This is a systematic review.

METHODS

This review aims to collect, analyse and synthesise available evidence on novel data streams for surveillance purposes and/or their potential for capturing the public reaction to epidemic outbreaks, particularly focusing on mental health effects and emotions.

RESULTS

At the end of the screening process, 19 articles were included in this systematic review. Our results show that the COVID-19 pandemic had a great impact on internet searches for mental health of entire populations, which manifests itself in a significant increase of depressed, anxious and stressed internet users' emotions.

CONCLUSIONS

Novel data streams can support public health experts and policymakers in establishing priorities and setting up long-term strategies to mitigate symptoms and tackle mental health disorders.

Social Media Opinions on Working From Home in the United States During the COVID-19 Pandemic: Observational Study

BACKGROUND

Since March 2020, companies nationwide have started work from home (WFH) owing to the rapid increase of confirmed COVID-19 cases in an attempt to help prevent the disease from spreading and to rescue the economy from the pandemic. Many organizations have conducted surveys to understand people's opinions toward WFH. However, the findings are limited owing to a small sample size and the dynamic topics over time.

OBJECTIVE

This study aims to understand public opinions regarding WFH in the United States during the COVID-19 pandemic.

METHODS

We conducted a large-scale social media study using Twitter data to portray different groups of individuals who have positive or negative opinions on WFH. We performed an ordinary least squares regression analysis to investigate the relationship between the sentiment about WFH and user characteristics including gender, age, ethnicity, median household income, and population density. To better understand the public opinion, we used latent Dirichlet allocation to extract topics and investigate how tweet contents are related to people's attitude.

RESULTS

On performing ordinary least squares regression analysis using a large-scale data set of publicly available Twitter posts (n=28,579) regarding WFH during April 10-22, 2020, we found that the sentiment on WFH varies across user characteristics. In particular, women tend to be more positive about WFH (P<.001). People in their 40s are more positive toward WFH than those in other age groups (P<.001). People from high-income areas are more likely to have positive opinions about WFH (P<.001). These nuanced differences are supported by a more fine-grained topic analysis. At a higher level, we found that the most negative sentiment about WFH roughly corresponds to the discussion on government policy. However, people express a more positive sentiment when discussing topics on "remote work or study" and "encouragement." Furthermore, topic distributions vary across different user groups. Women pay more attention to family activities than men (P<.05). Older people talk more about work and express a more positive sentiment regarding WFH.

CONCLUSIONS

This paper presents a large-scale social media-based study to understand the public opinion on WFH in the United States during the COVID-19 pandemic. We hope that this study can contribute to policymaking both at the national and institution or company levels to improve the overall population's experience with WFH.

Postpartum stress and protective factors in women who gave birth in the United States during the COVID-19 pandemic

OBJECTIVES

The COVID-19 pandemic has caused considerable stress throughout the world. Little is known about how postpartum women who gave birth during the early months of the pandemic were impacted. The purpose of this study was to explore and describe the associations between potential risk, protective factors, and psychological distress among postpartum women who gave birth during the early months of the COVID-19 pandemic.

METHODS

Postpartum women over the age of 18 years who gave birth in the US hospitals between March and July of 2020 and spoke English completed a survey about their experiences. Demographic and health variables were measured via self-report. Stress was measured using the Perceived Stress Scale-10. Mastery was measured with the Pearlin Mastery Scale. Resilience was measured with the Connor-Davidson Resilience Scale-2.

RESULTS

This study included 885 women. Participants had higher stress and lower resilience relative to pre-pandemic norms. Participants had high levels of depression, anxiety, and stress. Women who had an infant admitted to the neonatal intensive care unit had more stress. Income, full-time employment, and partnered relationships were associated with lower stress. Resilience and mastery were related to lower stress, depression, and anxiety. Black, Indigenous, or People of Color women showed higher stress and lower resiliency. Single women were likely to report lower levels of mastery than partnered women.

CONCLUSION

Stress, depression, and anxiety were high in postpartum women in this study. Income, partnered relationships, and employment security, along with protective traits such as mastery and resilience, may reduce the impact of stress on postpartum women in a pandemic. Care models should be modified to support women during a pandemic. Health disparities exist in postpartum stress. Future interventions should focus on building resiliency and mastery and ensuring appropriate resources are available to postpartum women in a pandemic.