#Healthy Selfies: Exploration of Health Topics on Instagram

#WhatIEatInADay: The effects of viewing food diary TikTok videos on young adults' body image and intent to diet

The rise of short-form video content has prompted research into its impact on body image; however, little remains known regarding the effects of exposure to food-related content of this type. The present study aimed to fill this gap in the literature by conducting a between-subjects experiment (N = 316) examining the effects of exposure to low-calorie versus high-calorie "What I Eat in A Day" food diary TikTok videos on young adults' body appreciation, body dissatisfaction, and diet intentions. Additionally, this study sought to explore how social comparison and mood might affect participants' responses to these videos. Results indicate that social comparison mediated the relationship between video type (low- vs high- calorie) and positive mood, such that low-calorie videos increased upward social comparison and decreased positive mood, and high-calorie videos increased downward social comparison and increased positive mood. Positive direct effects of positive mood on body appreciation and diet intentions occurred, and a negative direct effect on body dissatisfaction was found. Additionally, positive mood mediated the path from social comparison to diet intentions. These findings highlight the importance of further research into the nuanced impacts of food diary social media content on young adults' body image and behaviors.

Understanding PCOS-Related Content across Social Media Platforms-A Cross-Sectional Analysis

INTRODUCTION

Polycystic ovarian syndrome (PCOS) is commonly diagnosed in adolescence, and information about the condition is often shared online. We aimed to assess the extent, content, and engagement of PCOS-related information across social media platforms.

METHODS

We performed a cross-sectional content analysis of PCOS-related posts on TikTok, Instagram, and Reddit. Top PCOS posts were collected from TikTok and Instagram (N = 100). Two researchers independently coded all posts using a codebook including symptoms, interventions, and qualities. Logistic regression assessed the relationship between user engagement and creator conflicts of interest. On Reddit, posts from 2020 to 2022 (N = 34,208) were collected. Topic modeling using latent Dirichlet allocation and non-negative matrix factorization (NMF) was applied to discover topics in the textual data.

RESULTS

PCOS content received high engagement across all platforms, with an average of 1.8 million views on TikTok. "Weight" and "Diet" were the most frequently mentioned topics on TikTok and Instagram, and interactions with medical providers were discussed in 30% of posts. A financial conflict of interest was present in 45% of TikTok posts and 89% of Instagram posts. NMF identified 15 coherent topics, including symptoms, interventions, interactions with the medical system, and information-seeking. Reddit posts under "Symptom Management" received the most comments.

DISCUSSION

PCOS content is present and pervasive across social media platforms, suggesting the ability of information from non-clinician sources to reach and engage with a large population using novel modes of health information sharing. Further studies of this content will allow for a deeper understanding of patient perceptions, misconceptions, and knowledge of PCOS, with the potential to inform patient-centered counseling.

Social media for obesity education: a general overview for the novice creator

Rates of obesity continue to rise in the United States and across the globe. Obesity is a risk factor for developing insulin resistance, type 2 diabetes, and cardiovascular disease. For clinicians, other health care providers, and educators, providing patients with accurate and meaningful information about obesity, including lifestyle (diet and exercise) interventions and symptom monitoring, is challenging because of infrequent contact, methods of communication, a lack of effective patient education resources, and inefficient patient feedback methods. Evidence suggests that significantly more patients are now getting their health care information online from general medical websites, disease-specific network communities, and social media. Thus, harnessing the power of technologies, including personal computers and smartphones, with attention to social media may equip health care providers with methods to serve their patients better by addressing challenges, improving indirect patient contact, and enhancing health outcomes. This article aims to provide an overview of technology with a focus on social media use in obesity education and outreach. Practical information is provided related to creating content, delivering content, and managing the social media space for the novice creator.NEW & NOTEWORTHY Rates of obesity continue to increase. Health care providers have a limited time to cover the nuances of obesity. Technology and social media are tools that can help health care workers provide obesity education to a large audience. This article provides the foundations for obesity education content generation and delivery for the novice creator.

#Fail: the quality and accuracy of nutrition-related information by influential Australian Instagram accounts

BACKGROUND

Social media is a popular source of information about food and nutrition. There is a high degree of inaccurate and poor-quality nutrition-related information present online. The aim of this study was to evaluate the quality and accuracy of nutrition-related information posted by popular Australian Instagram accounts and examine trends in quality and accuracy based on author, topic, post engagement, account verification and number of followers.

METHODS

A sample of posts by Australian Instagram accounts with ≥ 100,000 followers who primarily posted about nutrition was collected between September 2020 and September 2021. Posts containing nutrition-related information were evaluated to determine the quality and accuracy of the information. Quality was assessed using the Principles for Health-Related Information on Social Media tool and accuracy was assessed against information contained in the Australian Dietary Guidelines, Practice-based Evidence in Nutrition database, Nutrient Reference Values and Metafact.

RESULTS

A total of 676 posts were evaluated for quality and 510 posts for accuracy, originating from 47 Instagram accounts. Overall, 34.8% of posts were classified as being of poor quality, 59.2% mediocre, 6.1% good and no posts were of excellent quality. A total of 44.7% of posts contained inaccuracies. Posts authored by nutritionists or dietitians were associated with higher quality scores (β, 17.8, CI 13.94-21.65; P < 0.001) and higher accuracy scores (OR 4.69, CI 1.81-12.14, P = 0.001) compared to brands and other accounts. Information about supplements was of lower accuracy (OR 0.23, CI 0.10-0.51, P < 0.001) compared to information about weight loss and other nutrition topics. Engagement tended to be higher for posts of lower quality (β -0.59, P = 0.012), as did engagement rate (β -0.57, P = 0.016). There was no relationship between followers or account verification and information quality or accuracy and no relationship between engagement and accuracy.

CONCLUSIONS

Nutrition-related information published by influential Australian Instagram accounts is often inaccurate and of suboptimal quality. Information about supplements and posts by brand accounts is of the lowest quality and accuracy and information posted by nutritionists and dietitians is of a higher standard. Instagram users are at risk of being misinformed when engaging with Australian Instagram content for information about nutrition.

Previvorship Posting: Why Breast Cancer Previvors Share Their Stories on Social Media

Research on previvors, individuals with a genetic predisposition to develop hereditary breast and ovarian cancer but who have not yet been diagnosed with breast or other cancers, examines online information gathering and community support to alleviate uncertainty. However, research exploring online content published by previvors themselves is limited. We examined content published to Instagram and TikTok to explore how breast cancer previvors discussed their lived experience which included, but was not limited to, genetic testing, diagnosis with a BRCA1/2 pathogenic (i.e. risk-increasing) variant, the decision to undergo preventative measures like surgery and/or reconstruction, and how they cope after diagnosis and surgical procedures. In the findings, we explicate how many previvors feel a responsibility to share their authentic experience on social media in order to help others and mitigate their own feelings of uncertainty. This study offers a snapshot of how women are sharing breast cancer previvorship and building social connections with each other online.

Using a health observance event to raise awareness: An assessment of World Birth Defects Day

World Birth Defects Day (WorldBDDay), observed annually on March 3, was launched in 2015 to advocate for public health surveillance, research, and prevention of birth defects, along with improved care and treatment for affected individuals. Following its fifth observance in 2019, we assessed WorldBDDay by analyzing: (a) engagement and content of over 2000 WorldBDDay posts on Facebook, Twitter, and Instagram; (b) interview responses from 9 WorldBDDay charter (founding) organizations on their perceptions of strengths and areas for improvement for WorldBDDay; (c) survey responses from 61 WorldBDDay 2019 partner (participating) organizations on their WorldBDDay 2019 activities; and (d) post-2019 social media engagement. Most social media posts (60%) occurred from organizations using Twitter (80% vs. 14% for Instagram and 6% for Facebook), although posts from individuals had higher levels of engagement (e.g., likes and comments). The highest engagement occurred for posts focused on general awareness, prevention, or events. Charter organizations reported the need for existing and new partner engagement, including a designated WorldBDDay contact for regular communication and coordination of activities and prepared prevention-focused messaging. Partner organizations reported using the WorldBDDay toolkit, especially key messages and social media tips, and suggested expanding the toolkit with relevant resources. Post-2019 Twitter engagement was lower than 2019 WorldBDDay (peak event) but showed similar reach to WorldBDDay events prior to 2019. Our assessment identified WorldBDDay health observance events as an important tool to support knowledge dissemination and global community engagement around birth defects. Moving forward, engagement with more individuals and organizations may improve the reach of WorldBDDay.

Methods for Analyzing the Contents of Social Media for Health Care: Scoping Review

BACKGROUND

Given the rapid development of social media, effective extraction and analysis of the contents of social media for health care have attracted widespread attention from health care providers. As far as we know, most of the reviews focus on the application of social media, and there is a lack of reviews that integrate the methods for analyzing social media information for health care.

OBJECTIVE

This scoping review aims to answer the following 4 questions: (1) What types of research have been used to investigate social media for health care, (2) what methods have been used to analyze the existing health information on social media, (3) what indicators should be applied to collect and evaluate the characteristics of methods for analyzing the contents of social media for health care, and (4) what are the current problems and development directions of methods used to analyze the contents of social media for health care?

METHODS

A scoping review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines was conducted. We searched PubMed, the Web of Science, EMBASE, the Cumulative Index to Nursing and Allied Health Literature, and the Cochrane Library for the period from 2010 to May 2023 for primary studies focusing on social media and health care. Two independent reviewers screened eligible studies against inclusion criteria. A narrative synthesis of the included studies was conducted.

RESULTS

Of 16,161 identified citations, 134 (0.8%) studies were included in this review. These included 67 (50.0%) qualitative designs, 43 (32.1%) quantitative designs, and 24 (17.9%) mixed methods designs. The applied research methods were classified based on the following aspects: (1) manual analysis methods (content analysis methodology, grounded theory, ethnography, classification analysis, thematic analysis, and scoring tables) and computer-aided analysis methods (latent Dirichlet allocation, support vector machine, probabilistic clustering, image analysis, topic modeling, sentiment analysis, and other natural language processing technologies), (2) categories of research contents, and (3) health care areas (health practice, health services, and health education).

CONCLUSIONS

Based on an extensive literature review, we investigated the methods for analyzing the contents of social media for health care to determine the main applications, differences, trends, and existing problems. We also discussed the implications for the future. Traditional content analysis is still the mainstream method for analyzing social media content, and future research may be combined with big data research. With the progress of computers, mobile phones, smartwatches, and other smart devices, social media information sources will become more diversified. Future research can combine new sources, such as pictures, videos, and physiological signals, with online social networking to adapt to the development trend of the internet. More medical information talents need to be trained in the future to better solve the problem of network information analysis. Overall, this scoping review can be useful for a large audience that includes researchers entering the field.

Nutrition-Related Information on Instagram: A Content Analysis of Posts by Popular Australian Accounts

Social media is a popular source of nutrition information and can influence food choice. Instagram is widely used in Australia, and nutrition is frequently discussed on Instagram. However, little is known about the content of nutrition information published on Instagram. The aim of this study was to examine the content of nutrition-related posts from popular Australian Instagram accounts. Australian Instagram accounts with ≥100,000 followers, that primarily posted about nutrition, were identified. All posts from included accounts, from September 2020 to September 2021, were extracted and posts about nutrition were included. Post captions were analysed using Leximancer, a content analysis software, to identify concepts and themes. Text from each theme was read to develop a description and select illustrative quotes. The final sample included 10,964 posts from 61 accounts. Five themes were identified: (1) recipes; (2) food and nutrition practices; (3) body goals; (4) food literacy and (5) cooking at home. Recipes and practical information about nutrition and food preparation are popular on Instagram. Content about weight loss and physique-related goals is also popular and nutrition-related Instagram posts frequently include marketing of supplements, food and online programs. The popularity of nutrition-related content indicates that Instagram may be a useful health-promotion setting.

'Scanxiety': Content analysis of pre-MRI patient experience on Instagram

INTRODUCTION

Distress and anxiety are commonly reported during the Magnetic Resonance Imaging (MRI) experience with prior studies suggesting the pre-MRI period is a time of heightened distress. There is a paucity of literature exploring preprocedural distress and anxiety, in particular qualitative research analysing patient experience. Instagram is rapidly becoming an important social media platform though which to conduct health research. A gradually increasing number of studies have examined social media to gain insight into patient experience within medical radiation science (MRS). This study is considered as the first to explore patient experience of MRI using Instagram as a data source.

METHODS

This study investigated the patient experience during the pre-MRI period by performing a content analysis on open-source Instagram posts. Ethical approval for the study was sought and approved by the Charles Sturt University, Human Research Ethics Committee.

RESULTS

Six themes emerged from the extracted data; Journey to the MRI, Waiting, Anticipating the MRI procedure, Preparing for the MRI procedure, Negative interaction, and Fear of the results.

CONCLUSION

The findings of this study provide novel self-reported and unsolicited insight into the diverse, multifactorial, and often concomitant nature of preprocedural MRI anxiety and distress.

IMPLICATIONS FOR PRACTICE

This study adds to a growing body of literature advocating for a compassionate, holistic, and person-centered approach when caring for patients in MRI that also considers their emotional and psychological wellbeing.

Use of Social Media for Patient Education in Dermatology: Narrative Review

BACKGROUND

Social media has rapidly become one of the main avenues for news and communication among those with access to technology. Nearly 60% or 4.7 billion people worldwide use social media. Different social media networks provide users with a barrage of posts, opinions, and transformations. With this noticeable uptick in physician and patient education usage of social media, exploration of the impacts of social media on patient education in dermatology is crucial.

OBJECTIVE

The goal of this narrative review was to evaluate existing peer-reviewed literature examining the use of social media for patient education in dermatology and to establish trends and implications. Additional attention was given to different social media sites, and potential differences in modalities of posts such as short-form videos on TikTok and Instagram Reels, long-form videos on YouTube, and infographics on Twitter, Instagram, and Facebook.

METHODS

PubMed, Access DermatologyDxRx, and Scopus searches of peer-reviewed publications were performed to discover articles with social media and patient education keywords in combination with other health care-relevant or dermatology-relevant keywords. Subsequently, the screening of these studies was performed by the author who has experience with education and research experience in health care, dermatology, social media, and telehealth. Ultimately, the selected articles were summarized through qualitative analysis of key points and presented for further discussion.

RESULTS

Through this narrative review, the researcher was able to identify several publications focusing on dermatology and social media. Some common subject areas included the use of social media for the promotion of private dermatology practices, residency programs, and research journals. So long as providers, such as dermatologists, take ethical considerations into account, these platforms can provide patients with curated educational content. In addition, several publications emphasized the use of social media as a form of patient education on dermatologic conditions but also as a source of misinformation.

CONCLUSIONS

This narrative review illuminated the use of social media as a form of patient education for dermatology, with its applications addressed across many demographics and situations. As social media platforms continue to update their algorithms, content filters, and posts, social media may become a reputable form of patient education in dermatology. Future studies and innovations should continue to explore innovations in this space, the efficacy of different modalities of posts, and longitudinal differences in patient outcomes and health literacy.

Readability and topics of the German Health Web: Exploratory study and text analysis

BACKGROUND

The internet has become an increasingly important resource for health information, especially for lay people. However, the information found does not necessarily comply with the user's health literacy level. Therefore, it is vital to (1) identify prominent information providers, (2) quantify the readability of written health information, and (3) to analyze how different types of information sources are suited for people with differing health literacy levels.

OBJECTIVE

In previous work, we showed the use of a focused crawler to "capture" and describe a large sample of the "German Health Web", which we call the "Sampled German Health Web" (sGHW). It includes health-related web content of the three mostly German speaking countries Germany, Austria, and Switzerland, i.e. country-code top-level domains (ccTLDs) ".de", ".at" and ".ch". Based on the crawled data, we now provide a fully automated readability and vocabulary analysis of a subsample of the sGHW, an analysis of the sGHW's graph structure covering its size, its content providers and a ratio of public to private stakeholders. In addition, we apply Latent Dirichlet Allocation (LDA) to identify topics and themes within the sGHW.

METHODS

Important web sites were identified by applying PageRank on the sGHW's graph representation. LDA was used to discover topics within the top-ranked web sites. Next, a computer-based readability and vocabulary analysis was performed on each health-related web page. Flesch Reading Ease (FRE) and the 4th Vienna formula (WSTF) were used to assess the readability. Vocabulary was assessed by a specifically trained Support Vector Machine classifier.

RESULTS

In total, n = 14,193,743 health-related web pages were collected during the study period of 370 days. The resulting host-aggregated web graph comprises 231,733 nodes connected via 429,530 edges (network diameter = 25; average path length = 6.804; average degree = 1.854; modularity = 0.723). Among 3000 top-ranked pages (1000 per ccTLD according to PageRank), 18.50%(555/3000) belong to web sites from governmental or public institutions, 18.03% (541/3000) from nonprofit organizations, 54.03% (1621/3000) from private organizations, 4.07% (122/3000) from news agencies, 3.87% (116/3000) from pharmaceutical companies, 0.90% (27/3000) from private bloggers, and 0.60% (18/3000) are from others. LDA identified 50 topics, which we grouped into 11 themes: "Research & Science", "Illness & Injury", "The State", "Healthcare structures", "Diet & Food", "Medical Specialities", "Economy", "Food production", "Health communication", "Family" and "Other". The most prevalent themes were "Research & Science" and "Illness & Injury" accounting for 21.04% and 17.92% of all topics across all ccTLDs and provider types, respectively. Our readability analysis reveals that the majority of the collected web sites is structurally difficult or very difficult to read: 84.63% (2539/3000) scored a WSTF ≥ 12, 89.70% (2691/3000) scored a FRE ≤ 49. Moreover, our vocabulary analysis shows that 44.00% (1320/3000) web sites use vocabulary that is well suited for a lay audience.

CONCLUSIONS

We were able to identify major information hubs as well as topics and themes within the sGHW. Results indicate that the readability within the sGHW is low. As a consequence, patients may face barriers, even though the vocabulary used seems appropriate from a medical perspective. In future work, the authors intend to extend their analyses to identify trustworthy health information web sites.

Ifood: Development and usability study of a social media-based applet for dietary monitoring

Background

Dietary monitoring is critical to maintaining human health. Social media platforms are widely used for daily recording and communication for individuals' diets and activities. The textual content shared on social media offers valuable resources for dietary monitoring.

Objective

This study aims to describe the development of iFood, an applet providing personal dietary monitoring based on social media content, and validate its usability, which will enable efficient personal dietary monitoring.

Methods

The process of the development and validation of iFood is divided into four steps: Diet datasets construction, diet record and analysis, diet monitoring applet design, and diet monitoring applet usability assessment. The diet datasets were constructed with the data collected from Weibo, Meishijie, and diet guidelines, which will be used as the basic knowledge for further model training in the phase of diet record and analysis. Then, the friendly user interface was designed to link users with backend functions. Finally, the applet was deployed as a WeChat applet and 10 users from the Beijing Union Medical College have been recruited to validate the usability of iFood.

Results

Three dietary datasets, including User Visual-Textual Dataset, Dietary Information Expansion Dataset, and Diet Recipe Dataset have been constructed. The performance of 4 models for recognizing diet and fusing unimodality data was 40.43%(dictionary-based model), 18.45%(rule-based model), 59.95%(Inception-ResNet-v2), and 51.38% (K-nearest neighbor), respectively. Furthermore, we have designed a user-friendly interface for the iFood applet and conducted a usability assessment, which resulted in an above-average usability score.

Conclusions

iFood is effective for managing individual dietary behaviors through its seamless integration with social media data. This study suggests that future products could utilize social media data to promote healthy lifestyles.

Deciphering Latent Health Information in Social Media Using a Mixed-Methods Design

Natural language processing techniques have increased the volume and variety of text data that can be analyzed. The aim of this study was to identify the positive and negative topical sentiments among diet, diabetes, exercise, and obesity tweets. Using a sequential explanatory mixed-method design for our analytical framework, we analyzed a data corpus of 1.7 million diet, diabetes, exercise, and obesity (DDEO)-related tweets collected over 12 months. Sentiment analysis and topic modeling were used to analyze the data. The results show that overall, 29% of the tweets were positive, and 17% were negative. Using sentiment analysis and latent Dirichlet allocation (LDA) topic modeling, we analyzed 800 positive and negative DDEO topics. From the 800 LDA topics—after the qualitative and computational removal of incoherent topics—473 topics were characterized as coherent. Obesity was the only query health topic with a higher percentage of negative tweets. The use of social media by public health practitioners should focus not only on the dissemination of health information based on the topics discovered but also consider what they can do for the health consumer as a result of the interaction in digital spaces such as social media. Future studies will benefit from using multiclass sentiment analysis methods associated with other novel topic modeling approaches.

Food Bloggers on the Twitter Social Network: Yummy, Healthy, Homemade, and Vegan Food

Many people now consider social networking to be an indispensable tool. There are now over 4.6 billion social media users, who leave a digital footprint through their online interactions. These big data provide enormous research potential for identifying the social and cultural aspects of the monitored topic. Moreover, the use of social media platforms has been found to have an impact on eating habits. The analysis of these social networks is thus essential to understand the factors that influence eating habits. To this aim, we identified the main topics associated with food bloggers on Twitter using the Social Media Analysis based on the Hashtag Research Framework of 686,450 Tweets captured from 171,243 unique users from 1 January 2017 to 30 May 2022. Based on the analysis of communication on Twitter, the most communicated hashtags in the food blogger sphere were as follows: #yummy, #healthy, #homemade, and #vegan. From the point of view of communities, three major clusters were identified, including (1) healthy lifestyle, (2) home-made food, and (3) fast food, and two minor clusters were identified, namely, (4) breakfast and brunch and (5) food traveling.

Benefits, drawbacks, and challenges of social media use in dermatology: A systematic review

The presence of dermatological information on social media has grown exponentially over the last two decades. Consequently, the recent literature on this topic is abundant. Many authors have highlighted that social media constitutes a unique opportunity for patient education. Additionally, numerous other benefits of these platforms have been reported. However, other authors have focused on the potential risks that these networks involve. The main concerns are patient confidentiality, legal considerations and ethical issues. Therefore, we stand at a crossroads where the many advantages of social media use in dermatology seem to be underestimated due to the presence of potential drawbacks. At this point, we propose that a systematic review of the positive and negative aspects of using social media in dermatology is necessary. We carried out a comprehensive systematic review dating from inception to July 2021. Finally, 161 articles were included. Fifteen benefits, 11 drawbacks and 10 challenges of social media use in dermatology were identified and discussed. Suggested strategies to address the identified drawbacks were provided. Overall, while there are risks to using social media, they are outnumbered by their benefits. Therefore, dermatologists should embrace this opportunity to educate patients and aim to create rigorous and engaging content.

Evaluating the Presence of Hospitals on Social Media

Today, adults are use social media to seek health information. Evidence suggests that hospitals using Instagram reported better patient engagement and in turn increased profit and reputation. Yet, little is known about how public and private hospitals are leveraging Instagram. This study aims to analyze the presence of hospitals on Instagram using Kuwait as a case study. Hospitals were identified using the Ministry of Health’s website and Instagram. Posts collected from 7 odd months were analyzed using the Constant Comparison method. A total of 3,439 posts were distributed across six categories: Health advice & education, operations & services, current events, hospital community, seasonal occasions, and trivia. Public and private hospitals differed in their activity on Instagram in terms of health topics covered, post categories, and interactions. Hospitals should improve their presence on Instagram to promote healthy lifestyles, augment public health campaigns, and be a source of reliable and accessible health information online.

Nurses' use of social media during the COVID-19 pandemic-A scoping review

BACKGROUND

During the COVID-19 pandemic, nurses stand in an unknown situation while facing continuous news feeds. Social media is a ubiquitous tool to gain and share reliable knowledge and experiences regarding COVID-19. The article aims to explore how nurses use social media in relation to the COVID-19 pandemic.

METHOD

A scoping review inspired by Arksey and O'Mally was conducted by searches in Medline, CINAHL, Academic Search Complete and Web of Sciences. Empirical research studies investigating nurses' use of social media in relation to COVID-19 were included. Exclusion criteria were: Literature reviews, articles in languages other than English, articles about E-health, and articles investigating healthcare professionals without specification of nurses included. Articles, published in January-November 2020, were included and analysed through a thematic analysis. The PRISMA-ScR checklist was used.

RESULTS

Most of the eleven included studies were cross-sectional surveys, conducted in developing countries, and had neither social media nor nurses as their main focus of interest. Three themes were identified: 'Social media as a knowledge node', 'Social media functioned as profession-promoting channels' and 'Social media as a disciplinary tool'. Nurses used social media as channels to gain and share information about COVID-19, and to support each other by highlighting the need for training and changes in delivery of care and redeployment. Further, social media functioned as profession-promoting channels partly sharing heroic self-representations and acknowledgment of frontline persons in the pandemic, partly by displaying critical working conditions. Finally, nurses used social media to educate people to perform the 'right 'COVID-19' behaviours in society.

CONCLUSION

This review provided snapshots of nurses' uses of social media from various regions in the world, but revealed a need for studies from further countries and continents. The study calls for further multi-methodological and in depth qualitative research, including theoretically framed studies, with a specific focus on the uses of social media among nurses during the pandemic.

Picturing Mental Health on Instagram: Insights from a Quantitative Study Using Different Content Formats

Background: COVID-19 has changed individual lives to the core. Through national curfews and social distancing, individuals’ social lives changed and led to increased levels of stress and mental health problems. As another consequence, communication, especially among young people, has shifted to social networking sites, where particularly young adults sought help for their mental health problems. In recent years, Instagram has received recognition for its health-enhancing potentials. On this social networking site, more than 1 billion users worldwide post 500 million stories and images per day. Methods: During COVID-19, increasing mental health incidences were reported throughout the world, and have led mental health influencers to gain in relevance. The proposed study is based on a quantitative survey. In order to test how different content formats utilized by mental health influencers —motivational quotes, comics, or influencer posts—are evaluated by Instagram users, a cross-sectional quantitative study was conducted in April 2021. Data collection was based on convenience sampling. In total, 532 Austrian respondents between 16 and 34 years of age participated in the survey. Results: Overall, the content that received the most favorable evaluations were both the motivational quote (M = 4.23) and the influencer post (M = 4.12), while the comics scored lower in terms of evaluations (M = 3.72). Conclusions: Respondents’ preference of content suggests that individuals seek out content that boosts their esteem or content with a “human touch”. Explanations as to why the selected content formats were preferred over the other formats are offered alongside a future research outlook.

Nutrition-Related Content on Instagram in the United States of America: Analytical Cross-Sectional Study

Background: The Internet is today the largest platform for food distribution, and there are concerns about the impact that digital marketing has in the field of nutrition by promoting non-evidence-based recommendations. The purpose of this study was to describe the user profile that draws on Instagram to follow nutrition-related content versus not, and to analyze the frequency and type of content of the information provided by nutritional influencers. Methods: A cross-sectional study involving randomly selected United States residents having an Instagram account was performed. Participants completed an anonymous online survey link. Results: From 898 respondents, 78.7% were women, and 75.6% were Millennials. Scientific evidence present in the posts was 14.3%. Influencers promoted a product or a brand in more than 90% of posts. Women followed more nutrition-related content than men (p < 0.001). Millennials, followed by Generation-Z, followed more nutrition-related content (p < 0.001). There were no significant relationships between the following status of nutrition-related content with BMI, type of job, household income, education degree, or smoking habits. Conclusions: Women and Millennials followed more nutrition-related content. Scientific evidence was scarce and commercial interest in the network was evident. The vast majority of the posts were not based on scientific evidence and instead promoted a product/supplement.

Radiology on Instagram: Analysis of Public Accounts and Identified Areas for Content Creation

RATIONALE AND OBJECTIVES

Radiology social media research has focused on Twitter, Facebook, and YouTube, with minimal attention to Instagram, which may be a natural platform for engagement. We evaluated features of public radiology-related Instagram accounts.

MATERIALS AND METHODS

Instagram accounts were searched using the term "radiology." Two independent raters used a coding system developed through initial content review to categorize account user types and post aims over the study month (October 2019). Multivariate linear regressions were performed.

RESULTS

49 Instagram accounts and their 459 posts were retrieved. Users had median 117 total posts (interquartile range 43-203), 9 posts during the study month (1-16), 3079 followers (695-19,600), and 106 followed users (50-351). Most users were radiologists (41%, most commonly academic), radiology practices (12%, most commonly academic) and 10% radiology professional societies. The 459 posts had median 178 likes (interquartile range 51-353) and 2 comments (0-5); single videos had median 4693 views (2183-6080). 75% of posts were radiology images or videos (of these, 29% MRI, 28% CT). 65% of posts were clinical imaging cases (most commonly neuroradiology). Seven posts violated HIPAA regulations, all originating outside the U.S. When controlling for number of account followers, posts by radiology society (β = -130.6, p = 0.017) and practice accounts (β = -90.6, p = 0.049) had fewer post likes. An artwork post was the only significant predictor of greater post likes (β = +866.2, p < 0.001) and comments (β = +14.3, p < 0.001).

CONCLUSION

Instagram is commonly used by academic radiologists to present clinical imaging cases. Radiologists should consider opportunities for greater application of this unique image-based social media platform.

A framework to extract biomedical knowledge from gluten-related tweets: The case of dietary concerns in digital era

Big data importance and potential are becoming more and more relevant nowadays, enhanced by the explosive growth of information volume that is being generated on the Internet in the last years. In this sense, many experts agree that social media networks are one of the internet areas with higher growth in recent years and one of the fields that are expected to have a more significant increment in the coming years. Similarly, social media sites are quickly becoming one of the most popular platforms to discuss health issues and exchange social support with others. In this context, this work presents a new methodology to process, classify, visualise and analyse the big data knowledge produced by the sociome on social media platforms. This work proposes a methodology that combines natural language processing techniques, ontology-based named entity recognition methods, machine learning algorithms and graph mining techniques to: (i) reduce the irrelevant messages by identifying and focusing the analysis only on individuals and patient experiences from the public discussion; (ii) reduce the lexical noise produced by the different ways in how users express themselves through the use of domain ontologies; (iii) infer the demographic data of the individuals through the combined analysis of textual, geographical and visual profile information; (iv) perform a community detection and evaluate the health topic study combining the semantic processing of the public discourse with knowledge graph representation techniques; and (v) gain information about the shared resources combining the social media statistics with the semantical analysis of the web contents. The practical relevance of the proposed methodology has been proven in the study of 1.1 million unique messages from >400,000 distinct users related to one of the most popular dietary fads that evolve into a multibillion-dollar industry, i.e., gluten-free food. Besides, this work analysed one of the least research fields studied on Twitter concerning public health (i.e., the allergies or immunology diseases as celiac disease), discovering a wide range of health-related conclusions.

Pre-exposure Prophylaxis (PrEP) Information on Instagram: Content Analysis

Background

There is still an HIV epidemic in the United States, which is a substantial issue for populations bearing a disproportionate burden of HIV infections. Daily oral pre-exposure prophylaxis (PrEP) has proven to be safe and effective in reducing HIV acquisition risk. However, studies document that PrEP awareness/usage is low. There is also limited understanding of social media platforms, such as Instagram, as PrEP information sources.

Objective

Given the paucity of research on PrEP-related Instagram posts and popularity of this social media platform, the purpose of this research is to describe the source characteristics, image types, and textual contents of PrEP-related posts on Instagram.

Methods

Using Crowdtangle Search, a public insights tool owned/operated by Facebook, we retrieved publicly accessible and English-language-only Instagram posts for the 12-month period preceding April 22, 2020, using the following terms: Truvada or “pre-exposure prophylaxis” or #truvada or #truvadaprep or #truvadawhore or #truvadaforprep. We employed a qualitative coding methodology to manually extract information from posts. Using a pretested codebook, we performed content analysis on 250 posts, examining message and source characteristics (ie, organization type [eg, government, news] and individual type [eg, physician]), including information about PrEP (eg, how it works, cost), and indicated users. Frequencies and percentages were calculated for all categorical variables. A Chi-square test was conducted to determine differences between source types on a variety of message characteristics.

Results

Three-quarters of the posts (193/250, 77.2%) were posted by organizations. Of the 250 posts reviewed, approximately two-thirds (174/250, 69.6%) included a photograph, more than half (142/250, 56.8%) included an infographic, and approximately one-tenth (30/250, 12%) included a video. More than half defined PrEP (137/250, 54.8%), but fewer posts promoted PrEP use, explained how PrEP works, and included information on the effectiveness of PrEP or who can use it. The most commonly hashtagged populations among posts were men who have sex with men (MSM), but not necessarily bisexual men. Few posts contained race-/ethnicity-related hashtags (11/250, 4.4%). Fewer posts contained transgender-associated tags (eg, #transgirl; 5/250, 2%). No posts contained tags related to heterosexuals or injection drug users. We found statistical differences between source types (ie, individual versus organization). Specifically, posts from organizations more frequently contained information about who can use PrEP, whereas posts from individuals more frequently contained information describing adverse effects.

Conclusions

This study is among the first to review Instagram for PrEP-related content, and it answers the National AIDS Strategy’s call for a clearer articulation of the science surrounding HIV risk/prevention through better understanding of the current public information environment. This study offers a snapshot of how PrEP is being discussed (and by whom) on one of the most popular social media platforms and provides a foundation for developing and implementing PrEP promotion interventions on Instagram.

Healthy Food on Instagram Social Network: Vegan, Homemade and Clean Eating

Social media platforms have become part of many people's lives. Users are spending more and more time on these platforms, creating an active and passive digital footprint through their interaction. This footprint has high research potential in many research areas because understanding people's communication on social media is essential in understanding their values, attitudes, experiences and behaviors. Researchers found that the use of social networking sites impacts adolescents' eating behavior. If we define adolescents as individuals between ages 10 and 24 (WHO's definition), 76% of USA young people at age 18-⁠24 use Instagram, so the Instagram social network analysis is important for understanding young people's expressions in the context of healthy food. This study aims to identify the main topic associated with healthy food on the Instagram social network via hashtag and community analysis based on 2,045,653 messages created by 427,936 individual users. The results show that users most associate Healthy food with healthy lifestyle, fitness, weight loss and diet. In terms of food, these are foods that are Vegan, Homemade, Clean and Plant-based. Given that young people change their behavior in relation to people's behavior on social networks, it is possible to use this data to predict their future association with healthy food characteristics.

A call for better understanding of social media in surveillance and management of noncommunicable diseases

Using social media for health purposes has attracted much attention over the past decade. Given the challenges of population ageing and changes in national health profile and disease patterns following the epidemiologic transition, researchers and policy-makers should pay attention to the potential of social media in chronic disease surveillance, management and support. This commentary overviews the evidence base for this inquiry and outlines the key challenges to research laying ahead. The authors provide concrete suggestions and recommendations for developing a research agenda to guide future investigation and action on this topic.

Limit your body area -a COVID-19 mass radicalisation challenging autonomy and basic human rights

Purpose

This paper aims to explore articulations of how individuals internalise official demands on handling COVID-19 and the function of social media in this process, and further to discuss this from a human rights’ perspective.

Design/methodology/approach

A thematic analysis of qualitative data from an international survey on COVID-19 and social media. The analysis was inspired by Berger and Luckmann's theory of reality as a social construction.

Findings

Articulations expressed an instant internalisation and externalisation of the officially defined “new normal”. However, negotiations of this “new normal” were articulated, whereby everyday life activities could proceed. Resistance to the “new normal” appeared, as routines and common sense understandings of everyday life were threatened. Health-care professionals were put in a paradoxical situation, living in accordance with the “new normal” outside work and legitimately deviating from it at work. The “new normal” calls for individuals’ “oughtonomy” rather than autonomy. Social media were used to push individual’s re-socialisation into the “new normal”. The latter both promoted and challenged human rights as the individual's right to self-determination extends beyond the self as it risks threatening other people's right to life.

Originality/value

With the means of a theoretically based thematic analysis inspired by Berger and Luckmann, the current study shows how articulations on COVID-19 and social media can both support and challenge human rights and reality as a facticity as dictated by dominant organisations and discourses in society.

#Menopause on Instagram: a mixed-methods study

OBJECTIVE

The aims of this study were to: (1) characterize the menopause transition (MT) on social media and (2) determine if concordance or discordance exists when comparing MT-focused social media posts and biomedical research literature.

METHODS

We analyzed 440 sequential Instagram posts with the hashtag #menopause over 2 weeks from January to February 2019. Posts were composed of 299 unique accounts, resulting in an average of 1.7 posts per account (standard deviation [SD] 1; range 1-9; median 1 and interquartile range [IQR] 1-2). Each account had an average of 2,616 followers (SD 11,271; range 3-129,000; median 421.5 and IQR 177-1,101). Content and thematic analyses were completed for posts, images, and videos to identify codes related to the MT. The top 15 codes were then searched along with the key term "menopause" in PubMed to ascertain the level of concordance between Instagram content and peer-reviewed literature on the MT.

RESULTS

We identified 69 codes in our corpus of Instagram content, resulting in 9 categories: physical health, mental health, complementary and integrative health, advertising, social, advice, self-care, nature, and self-expression (kappa 0.95-1.00). The most prevalent codes were related to weight loss/fitness (20.5%) and hormones (18.4%). The majority of frequent codes identified in Instagram posts were infrequently listed in biomedical literature related to menopause. However, there were two codes, Weight loss/Fitness and Hot flashes, that were frequently discussed in Instagram posts and the biomedical literature.

CONCLUSIONS

The examination of #menopause on Instagram provides novel insights for researchers and clinicians. Our findings provide a better understanding of the experiences and support needs of individuals experiencing menopause. Furthermore, codes related to menopause have low prominence in the biomedical literature, suggesting key topics that could be explored in the future.

"Immune Boosting" in the time of COVID: selling immunity on Instagram

"Immune boosting" is a trending topic during the COVID-19 pandemic. The concept of "immune boosting" is scientifically misleading and often used to market unproven products and therapies. This paper presents an analysis of popular immune-boosting posts from Instagram. Of the sampled posts, all promoted "immune boosting" as beneficial, nearly all involved commercial interests, and many used scientific and medical rhetoric in their messaging.

Infodemiology and Infoveillance: Scoping Review

Background

Web-based sources are increasingly employed in the analysis, detection, and forecasting of diseases and epidemics, and in predicting human behavior toward several health topics. This use of the internet has come to be known as infodemiology, a concept introduced by Gunther Eysenbach. Infodemiology and infoveillance studies use web-based data and have become an integral part of health informatics research over the past decade.

Objective

The aim of this paper is to provide a scoping review of the state-of-the-art in infodemiology along with the background and history of the concept, to identify sources and health categories and topics, to elaborate on the validity of the employed methods, and to discuss the gaps identified in current research.

Methods

The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines were followed to extract the publications that fall under the umbrella of infodemiology and infoveillance from the JMIR, PubMed, and Scopus databases. A total of 338 documents were extracted for assessment.

Results

Of the 338 studies, the vast majority (n=282, 83.4%) were published with JMIR Publications. The Journal of Medical Internet Research features almost half of the publications (n=168, 49.7%), and JMIR Public Health and Surveillance has more than one-fifth of the examined studies (n=74, 21.9%). The interest in the subject has been increasing every year, with 2018 featuring more than one-fourth of the total publications (n=89, 26.3%), and the publications in 2017 and 2018 combined accounted for more than half (n=171, 50.6%) of the total number of publications in the last decade. The most popular source was Twitter with 45.0% (n=152), followed by Google with 24.6% (n=83), websites and platforms with 13.9% (n=47), blogs and forums with 10.1% (n=34), Facebook with 8.9% (n=30), and other search engines with 5.6% (n=19). As for the subjects examined, conditions and diseases with 17.2% (n=58) and epidemics and outbreaks with 15.7% (n=53) were the most popular categories identified in this review, followed by health care (n=39, 11.5%), drugs (n=40, 10.4%), and smoking and alcohol (n=29, 8.6%).

Conclusions

The field of infodemiology is becoming increasingly popular, employing innovative methods and approaches for health assessment. The use of web-based sources, which provide us with information that would not be accessible otherwise and tackles the issues arising from the time-consuming traditional methods, shows that infodemiology plays an important role in health informatics research.

Mental illness on Instagram: a mixed method study to characterize public content, sentiments, and trends of antidepressant use

BACKGROUND

Individuals with mental illness use social media to share treatment experiences and anecdotal information. Despite the significant impact of social media on individuals with mental illness, posts related to antidepressants have not been studied systematically.

AIMS

This study evaluates public sentiments and content posted on Instagram regarding the use of antidepressants.

METHODS

Instagram posts from July 2010 to June 30, 2018 containing hashtags of commonly prescribed antidepressants and anxiety/depression-related terms were gathered (n = 13,096). Approximately 1,000 posts were randomly selected and evaluated for photo content, anecdotal experiences, sentiments towards antidepressants, and mentions of psychotherapy, comorbidities, polypharmacy, or adverse effects.

RESULTS

Instagram posts describing antidepressant use have increased exponentially from 2010, and 43% provided anecdotal experiences. Among these posts, 58% expressed negative sentiments towards antidepressant usage, citing adverse effects and lack of improvement. Posts that also mentioned psychotherapy, comorbidities, or polypharmacy differed in their collective sentiments. Misinformation was present in analyzed posts, and none mentioned recovery-oriented materials (i.e., mental health facility, hotline, etc.).

CONCLUSIONS

Instagram is a useful resource for exploring public sentiments related to antidepressant use. Mental health professionals should be cognizant of these sentiments/perceptions in order to tailor communication with patients and should consider increasing their social media presence.

Exploring the association between problem drinking and language use on Facebook in young adults

Recent literature suggests that variations in both formal and content aspects of texts shared on social media tend to reflect user-level differences in demographic, psychosocial, and behavioral characteristics. In the present study, we examined associations between language use on Facebook and problematic alcohol use. We collected texts shared on Facebook by a sample of 296 adult social media users (66.9% females; mean age = 28.44 years (SD = 7.38)). Texts were mined using the closed-vocabulary approach based on the Linguistic Inquiry Word Count (LIWC) semantic dictionary, and an open-vocabulary approach performed via Latent Dirichlet Allocation (LDA). Then, we examined associations between emerging textual features and alcohol-drinking scores as assessed using the AUDIT-C questionnaire. As a final aim, we employed the Random Forest machine-learning algorithm to determine and compare the predictive accuracy of closed- and open-vocabulary features over users' AUDIT-C scores. We found use of words about family, school, and positive feelings and emotions to be negatively associated with alcohol use and problematic drinking, while words suggesting interest in sport events, politics and economics, nightlife, and use of coarse language were more frequent among problematic drinkers. Results coming from LIWC and LDA analyses were quite similar, but LDA added information that could not be retrieved only with LIWC analysis. Furthermore, open-vocabulary features outperformed closed-vocabulary features in terms of predictive power over participants’ AUDIT-C scores (r = .46 vs. r = .28, respectively). Emerging relationships between text features and offline behaviors may have important implications for alcohol screening purposes in the online environment.

Zika discourse in the Americas: A multilingual topic analysis of Twitter

This work examines Twitter discussion surrounding the 2015 outbreak of Zika, a virus that is most often mild but has been associated with serious birth defects and neurological syndromes. We introduce and analyze a collection of 3.9 million tweets mentioning Zika geolocated to North and South America, where the virus is most prevalent. Using a multilingual topic model, we automatically identify and extract the key topics of discussion across the dataset in English, Spanish, and Portuguese. We examine the variation in Twitter activity across time and location, finding that rises in activity tend to follow to major events, and geographic rates of Zika-related discussion are moderately correlated with Zika incidence (ρ = .398).