Pregnancy posting: exploring characteristics of social media posts around pregnancy and user engagement

Interest in an Instagram-delivered gestational weight gain intervention among pregnant women with pre-pregnancy overweight or obesity

Background

Barriers to attending in-person lifestyle interventions are common during pregnancy. The majority of young adults use Instagram, and pregnancy-related content abounds on this social media platform. The aims of this study were to assess interest in an Instagram-delivered gestational weight gain (GWG) intervention, examine characteristics associated with program interest, describe interest in specific program components, and to explore perceived advantages of and concerns about the proposed intervention.

Methods

English-speaking pregnant women with pre-pregnancy overweight or obesity in the US who use Instagram completed a cross-sectional online survey (N=229). Participants reported interest in a proposed Instagram-delivered GWG intervention (very/quite a bit versus somewhat/a little bit/not at all interested), demographics, and Instagram use habits. Characteristics associated with program interest were examined using logistic regression models. Responses to open-ended questions about program likes and concerns were content-analyzed.

Results

Thirty-four percent were very or quite a bit interested in an Instagram-delivered GWG intervention, and women with children, those who were more extraverted, and those with greater engagement on Instagram were more likely to report interest. Among participants with high program interest, 63-95% were interested in specific intervention components and 52-82% were willing to engage in different aspects of the intervention. Participants liked the potential for information, peer support, convenience, and accountability, but reported concerns about privacy/confidentiality, social pressure, time required, and negative psychological consequences.

Conclusions

Fostering a positive, supportive group culture may be key to leveraging Instagram to deliver a GWG intervention.

Browsing throughout pregnancy: The longitudinal course of social media use during pregnancy

BACKGROUND

The number of people using social media has substantially increased over the past years. Previous studies have shown associations between social media overuse and mental health problems during pregnancy. The current study evaluates changes in social media use during pregnancy.

METHODS

Pregnant women were recruited at their first antenatal appointment between January 2020 and July 2022 (N = 1135). The time spent on social media, frequency of social media use and problematic social media use, using the Bergen Social Media Addiction Scale (BSMAS), were assessed at 12, 20 and 28 weeks of pregnancy. Pearson r correlations and repeated measures ANOVAs were performed to assess possible changes in social media use over the course of pregnancy. Lastly, we stratified social media use throughout pregnancy for parity.

RESULTS

There was a significant change in social media use over time, for the time spent on social media, frequency of social media use and problematic social media use. Mean social media scores were the lowest at 12 weeks of pregnancy and increased significantly at 20 weeks of pregnancy, after which they remained stable at 28 weeks. Compared to multiparous women, primiparous women spent more time on social media at 20 weeks of pregnancy, but not at 12 or 28 weeks.

CONCLUSION

Because overuse of social media has been associated with poor mental health, healthcare professionals should be aware of the intensity of social media use throughout pregnancy.

Which educational messengers do medical students prefer for receiving healthinformation? Development and psychometrics of using health messengers questionnaire

INTRODUCTION

Individuals vary in their selection of health messengers. This research aimed to construct an instrument to measure the preferences of medical students in selecting health messengers and in the next step to validate the aforementioned questionnaire.

METHOD

This research is a descriptive survey with an approach to construct a questionnaire. The statistical population included all students studying at Shiraz University of Medical Sciences in March to June 2022 in the academic year 2021-2022. 500 participants were involved in the study. To determine the types of health messengers and review the texts, a group of 15 primary items consisting of the 6 components of academic sources (2-items), formal news sources (2-items), mass media (3-items), internet search (2-items), social networks and messenger applications (4-items), and informal conversation (2-items) were compiled. A 4-point scale was developed the content validity of which was confirmed using CVI and CVR method and the reliability index was calculated to be 0.818. Factor analysis was also used to determine the construct validity and factor loading of each item.

RESULTS

The research covers university students in different medical fields. Using factor analysis, together with KMO = 0.810 and Bartlett's sphericity index P < 0.0001, saturation and the suitability of the test were confirmed. Students' preferences based on factor load were social media (28.92%), official and unofficial health sources(10.76%), academic sources (9.08%), internet search (8.18%), and mass media (7.13%), respectively. Among social media, Telegram (0.85) had the highest factor load followed by Instagram (0.79), and WhatsApp (0.71).

CONCLUSION

Medical students are always on the move and naturally prioritize mobile-based methods. They prefer messengers that are free from time and space restrictions. The widespread availability of mobile devices and the ability to search for and access information make it easier to test health information. Therefore, in health policy, attention should be paid to the virtual capabilities, especially mobile-based approaches.

Automated classification of lay health articles using natural language processing: a case study on pregnancy health and postpartum depression

Objective

Evidence suggests that high-quality health education and effective communication within the framework of social support hold significant potential in preventing postpartum depression. Yet, developing trustworthy and engaging health education and communication materials requires extensive expertise and substantial resources. In light of this, we propose an innovative approach that involves leveraging natural language processing (NLP) to classify publicly accessible lay articles based on their relevance and subject matter to pregnancy and mental health.

Materials and methods

We manually reviewed online lay articles from credible and medically validated sources to create a gold standard corpus. This manual review process categorized the articles based on their pertinence to pregnancy and related subtopics. To streamline and expand the classification procedure for relevance and topics, we employed advanced NLP models such as Random Forest, Bidirectional Encoder Representations from Transformers (BERT), and Generative Pre-trained Transformer model (gpt-3.5-turbo).

Results

The gold standard corpus included 392 pregnancy-related articles. Our manual review process categorized the reading materials according to lifestyle factors associated with postpartum depression: diet, exercise, mental health, and health literacy. A BERT-based model performed best (F1 = 0.974) in an end-to-end classification of relevance and topics. In a two-step approach, given articles already classified as pregnancy-related, gpt-3.5-turbo performed best (F1 = 0.972) in classifying the above topics.

Discussion

Utilizing NLP, we can guide patients to high-quality lay reading materials as cost-effective, readily available health education and communication sources. This approach allows us to scale the information delivery specifically to individuals, enhancing the relevance and impact of the materials provided.

Strangers helping strangers in a strange land: Vietnamese immigrant (expectant) mothers in the US use social media to navigate health issues in acculturation

Objectives

Trying to adapt to a new culture, Vietnamese (expectant) mothers in the USA gathered in few Facebook groups with thousands of members discussing pregnancy, health, and child caring issues. However, there is little research exploring how social support was given/taken among these (expectant) mothers. This empirical research aims at shedding light on how such mothers use social media groups for social support seeking/providing regarding health utilization during their acculturation process.

Methods

Drawing from Andersen's Behavioral Model of Health Utilization, acculturation, and online social support conceptual frameworks, this study analyzes 18 in-depth interviews with immigrant Vietnamese (expectant) mothers in the United States on the use of social media in navigating health acculturation during their pregnancy and motherhood.

Results

Results show that these mothers give and take all forms of social support including informational, emotional, relational, and instrumental ones. Facebook groups do not provide the best environment for improving "bonding" social capital for its members. However, these groups provide a platform where "strangers help strangers" overcome various barriers to sufficiently understand and independently access and use the official healthcare system. The groups, hence, aid these women's pregnancy and their child(ren)'s health. The informational and emotional support provided by Facebook groups among (soon-to-be) mothers helped them tremendously in overcoming acculturative stress. Moreover, with better language skills, knowledge, and experience in using health and social security systems, help-seekers tend to be transformed into help providers to deliver support for those "newcomers."

Conclusions

This research provides insights into personal experience on the uses of social media in navigating health behavior in the process of acculturation among Vietnamese immigrant (expectant) mothers in the United States. The research seeks to contribute to the conceptual frameworks and practical experience of behavioral model of health utitlization among immigrant Vietnamese ethnic immigrant pregnant women and mothers of babies and toddlers in navigating health during acculturation process in the United States. The limitations and future research suggestions are also discussed.

Feedback on Instagram posts for a gestational weight gain intervention

Lifestyle interventions can facilitate healthy gestational weight gain but attending in-person meetings can be challenging. High rates of use and the popularity of pregnancy content suggests Instagram as a possible platform for delivering gestational weight gain interventions. We assessed the logistics and acceptability of creating a private Instagram group and to obtain feedback on intervention posts. We conducted a 2-week study with pregnant women with pre-pregnancy overweight or obesity who use Instagram daily. Participants created a private Instagram account and followed other participants and a moderator who shared twice-daily posts about physical activity and healthy eating during pregnancy. Participants provided feedback through a follow-up survey and focus group/interviews. Engagement data was abstracted from Instagram. Participants (N = 11) were on average 26.3 (SD: 7.4) weeks gestation and 54% had obesity pre-pregnancy. All participants followed the moderator's account, 73% followed all other participants, participants engaged with 100% of study posts, 82% felt comfortable sharing in the group, and 73% would participate in a similar group if pregnant in the future. While participants felt the posts were visually attractive and included helpful information, they wanted more personalized content and felt reluctant to post photos they felt were not "Instagram worthy." Moderators should foster an environment in which participants feel comfortable posting unedited, authentic photos of their lives, perhaps by sharing personal photos that are relatable and represent their own imperfect lives. Results will inform further development and testing of an Instagram-delivered gestational weight gain intervention.

The Use of Social Media for Preconception Information and Pregnancy Planning among Young Women

Young women of reproductive age (18–25 years) often seek and engage with health-related information via social media. However, the extent to which this population group seek preconception and pregnancy-related information has not been explored. Therefore, this study aimed to: (1) examine the proportion, type, and frequency of social media use to seek general health, preconception, and pregnancy-related information or advice among young women; and (2) explore the relationship between age, education status, relationship status, and planning a pregnancy on social media use for preconception and pregnancy-related health information. Ninety-one Australian women aged 18–25 years completed an online survey about their patterns and preferences of social media use for this information. Forty percent of women used social media for general health information (most often daily), 32% for preconception health advice (most commonly weekly), and 20% for pregnancy-related information (most often weekly), with Facebook the most frequently used platform. Planning a pregnancy within the next 5 years and younger age were associated with greater likelihood of using social media for such information. It is necessary that social media platforms are leveraged to disseminate preconception and pregnancy planning health advice, support, and education to provide better health promotion and preventive care to young women.

#Antivaccination on Instagram: A Computational Analysis of Hashtag Activism through Photos and Public Responses

A dramatic increase has been registered in the number of social media posts in photo form as well as in hashtag activism. Hashtags, which manifest thoughts and feelings clearly and concisely, originated on Twitter, where the length of a post is limited; their use, however, has expanded into other social media services, including Instagram. Hashtags, which make it easy to find and express support for posts of interest, have been widely used for online activism, although they have been criticized for fostering confirmation bias. Moreover, hashtag activism in photo form has been relatively understudied. This research analyzed Instagram photos with antivaccination hashtags as an example of hashtag activism through photos. In addition, we examined how the photo features were related to public response, which was manifested via engagement and comment sentiment. The results suggest that the photos which were categorized into “text” took the largest share. It was also found that the major way of claiming was to imprint key messages that persuade people not to vaccinate with remarks from professionals on photos and provide a source of supporting information in the post text with hashtags of antivaccine intention. Various photo features showed associations with engagement and comment sentiment, but the directions of correlation were usually the opposite: these results suggest that engagement and comment sentiment are separate domains that reveal different public responses.