How influencers motivate inactive adolescents to be more physically active: a mixed methods study.

Introduction: Regular physical activity offers numerous health benefits, particularly for adolescents. However, only 14% of school-aged children in Switzerland achieve the World Health Organization's recommendation of 60 min of moderate to vigorous physical activity per day. Changing health behaviors is a complex process in which understanding behavioral and communication patterns is crucial. Because adolescents spend substantial time on social media channels and obtain information from them, these are potential channels for accessing health-related content. This study explores the questions of which influencers and what content motivate adolescents to be more physically active and whether influencers can impact enjoyment and the intention to engage in physical activity. Methods: The study employed a convergent mixed methods approach, combining self-assessment questionnaires and semi-structured interviews. Ninety-three adolescents aged 14-20 years who exercised < 1 h per day participated. They followed one of the six participating influencers on Instagram. Over 6 weeks, the questionnaires collected quantitative data, measuring enjoyment, stages of change, and physical activity levels. Furthermore, semi-structured interviews were conducted with 23 adolescents and six influencers to gain in-depth insights. Results: The quantitative findings indicate that adolescent followers enjoyed physical activity more after the social media intervention and at follow-up than at the beginning of the study. The followers' stages of change progressed over time. Compared with those following more athletic influencers, followers of nonathletic influencers (that is, a singer, a journalist, and an eFootballer) showed increased physical activity over time. Qualitative analysis highlighted Instagram factors influencing physical activity, including resonance with influencers' lifestyles and preference for simple, relatable activities. Authentic content was positively associated with increased exercise, particularly among already motivated followers. Discussion: Unexpectedly, nonathletic influencers, such as a singer, a journalist, and an eFootballer, motivated adolescents best despite their nontraditional focus on physical activity. Their success stems from relatable lifestyles and simple activities that are easily incorporated into their daily routines. Conversely, athletic influencers demonstrated challenging exercises that were fascinating but difficult to adopt. This finding suggests the potential for utilizing nonathletic influencers in future campaigns targeting inactive adolescents.

Cultural values and digital gap: Overview of behavioral patterns.

The study uses different statistical techniques to understand the relationship between variables explaining the digital divide and classification based on The Inglehart-Welzel Cultural Map for 2023. To achieve this purpose variables focusing on Digital Penetration (the percentage of internet and social media users and mobile cellular connections), Operating Systems share (iOS and Android), Device Traffic (laptop/mobile phone-based web traffic) as well as Mobile Commerce variables (bills and payments using mobile internet) were included in the analysis. To minimize any effects arithmetic means of data was calculated.: The results from one-way ANOVA tests indicate significant differences among groups classified by cultural values for almost all measured variables of digitalization. The mean squares and F-values across variables like cellular mobile connections, internet users, and active social media users are significant indicating a shift towards more secular and self-expressive cultural values. The results of the GLM procedure show that significant portions of the total variance in digitalization variables are associated with membership in groups based on the cultural map. This suggests that cultural classifications can explain substantial differences in digital behavior and preferences across populations. Spearman's correlation coefficients showed strong positive correlations between Traditional/Secular values and several digitalization metrics, such as the use of mobile phones or the internet for payments, and negative correlations with others like share of web traffic by device type (mobile vs. laptop/computer). These correlations suggest that cultural values play a substantial role in influencing digital habits and accessibility.

Public Response to Federal Electronic Cigarette Regulations Analyzed Using Social Media Data Through Natural Language Processing: Topic Modeling Study.

BACKGROUND: e-Cigarette (electronic cigarette) use has been a public health issue in the United States. On June 23, 2022, the US Food and Drug Administration (FDA) issued marketing denial orders (MDOs) to Juul Labs Inc for all their products currently marketed in the United States. However, one day later, on June 24, 2022, a federal appeals court granted a temporary reprieve to Juul Labs that allowed it to keep its e-cigarettes on the market. As the conversation around Juul continues to evolve, it is crucial to gain insights into the sentiments and opinions expressed by individuals on social media. OBJECTIVE: This study aims to conduct a comprehensive analysis of tweets before and after the ban on Juul, aiming to shed light on public perceptions and sentiments surrounding this contentious topic and to better understand the life cycle of public health-related policy on social media. METHODS: Natural language processing (NLP) techniques were used, including state-of-the-art BERTopic topic modeling and sentiment analysis. A total of 6023 tweets and 22,288 replies or retweets were collected from Twitter (rebranded as X in 2023) between June 2022 and October 2022. The encoded topics were used in time-trend analysis to depict the boom-and-bust cycle. Content analyses of retweets were also performed to better understand public perceptions and sentiments about this contentious topic. RESULTS: The attention surrounding the FDA's ban on Juul lasted no longer than a week on Twitter. Not only the news (ie, tweets with a YouTube link that directs to the news site) related to the announcement itself, but the surrounding discussions (eg, potential consequences of this ban or block and concerns toward kids or youth health) diminished shortly after June 23, 2022, the date when the ban was officially announced. Although a short rebound was observed on July 4, 2022, which was contributed by the suspension on the following day, discussions dried out in 2 days. Out of the top 50 most retweeted tweets, we observed that, except for neutral (23/45, 51%) sentiment that broadcasted the announcement, posters responded more negatively (19/45, 42%) to the FDA's ban. CONCLUSIONS: We observed a short life cycle for this news announcement, with a preponderance of negative sentiment toward the FDA's ban on Juul. Policy makers could use tactics such as issuing ongoing updates and reminders about the ban, highlighting its impact on public health, and actively engaging with influential social media users who can help maintain the conversation.

Social identity correlates of social media engagement before and after the 2022 Russian invasion of Ukraine.

Despite the global presence of social media platforms, the reasons why people like and share content are still poorly understood. We investigate how group identity mentions and expressions of ingroup solidarity and outgroup hostility in posts correlate with engagement on Ukrainian social media (i.e., shares, likes, and other reactions) before and after the 2022 Russian invasion of Ukraine. We use a dataset of 1.6 million posts from Ukrainian news source pages on Facebook and Twitter (currently X) and a geolocated sample of 149 thousand Ukrainian tweets. Before the 2022 Russian invasion, we observe that outgroup mentions in posts from news source pages are generally more strongly associated with engagement than negative, positive, and moral-emotional language. After the invasion, social identity mentions become less strongly associated with engagement. Moreover, post-invasion ingroup solidarity posts are strongly related to engagement, whereas posts expressing outgroup hostility show smaller associations. This is the case for both news and non-news social media data. Our correlational results suggest that signaling solidarity with one's ingroup online is associated with more engagement than negativity about outgroups during intense periods of intergroup conflicts, at least in the context of the Russian-Ukrainian war.

Patient considerations of social media account management after death.

PURPOSE: Social media is widely used but few studies have examined how patients with advanced cancer want their accounts managed after death. The objective of this study was to determine the proportion of our patients with advanced cancer who have discussed the post-mortem management of their social media accounts with their family or friends. METHODS: This was a cross-sectional survey in which patients with advanced cancer at an outpatient Supportive Care Clinic at a tertiary cancer center completed a novel survey on social media use that assessed patients' social media use practices, attitudes and preferences, and reactions to the survey. RESULTS: Of 117 patients, 72 (61.5%) were women, and the mean age was 56.4 years old. We found that 24 (21%) of our patients have discussed their preferences for management of their social media accounts after death. Patients with a lower annual income were significantly more likely to report having such conversations (p = 0.0036). Completing the survey motivated 76 patients (67%) to discuss their social media accounts and 82 patients (71.3%) to explore how social media will be managed after their death. Half of our study participants reported social media as an important source of coping. CONCLUSION: Few patients have had conversations on the management of their accounts after death, although more were interested in exploring their options further. More research is needed to examine the role of social media as a digital legacy and a coping tool for patients with advanced cancer.

Fluctuations and extreme events in the public attention on Italian legislative elections.

The share of social media attention to political candidates was shown to be a good predictor of election outcomes in several studies. This attention to individual candidates fluctuates due to incoming daily news and sometimes reflects long-term trends. By analyzing Twitter data in the 2013 and 2022 election campaign we observe that, on short timescales, the dynamics can be effectively characterized by a mean-reverting diffusion process on a logarithmic scale. This implies that the response to news and the exchange of opinions on Twitter lead to attention fluctuations spanning orders of magnitudes. However, these fluctuations remain centered around certain average levels of popularity, which change slowly in contrast to the rapid daily and hourly variations driven by Twitter trends and news. In particular, on our 2013 data we are able to estimate the dominant timescale of fluctuations at around three hours. Finally, by considering the extreme data points in the tail of the attention variation distribution, we could identify critical events in the electoral campaign period and extract useful information from the flow of data.

Social media uses amongst adolescents: motives, minority stress and eudaimonic well-being / Uso de redes sociales en adolescentes: motivación, estrés de minorías y bienestar eudaimónico

Introduction: The scientific evidence regarding the effects of online social media use on the well-being of adolescents is mixed. In gen-eral, passive uses (receiving, viewing content without interacting) and more screen time are related to lower well-being when compared with active uses (direct interactions and interpersonal exchanges). Objectives:This study ex-amines the types and motives for social media usage amongst adolescents, differentiating them by gender identity and sexual orientation, as well as its effects on eudaimonic well-being and minority stress. Method: A cross-sectional study was conducted with 1259 adolescents, aged 14 to 19 (M= 16.19; SD= 1.08), analysing the Scale of Motives for Using Social Net-working Sites, eudaimonic well-being, the Sexual Minority Adolescent Stress Inventory, screen time and profile type. Results:The results found that longer use time is related to finding partners, social connection and friendships; that gay and bisexual (GB) adolescents perceive more distal stressors online;and that females have higher levels of well-being. Discus-sion: The public profiles of GB males increase self-expression, although minority stress can be related to discrimination, rejection or exclusion. Dif-ferentiated socialization may contribute to a higher level of well-being in females, with both active and passive uses positively effecting eudaimonic well-being in adolescents.(AU)

Introduction: The scientific evidence regarding the effects of online social media use on the well-being of adolescents is mixed. In general, passive uses (receiving, viewing content without interacting) and more screen time are related to lower well-being when compared with active uses (direct interactions and interpersonal exchanges). Objectives: This study examines the types and motives for social media usage amongst adolescents, differentiating them by gender identity and sexual orientation, as well as its effects on eudaimonic well-being and minority stress. Method: A cross-sectional study was conducted with 1259 adolescents, aged 14 to 19 (M = 16.19; SD = 1.08), analysing the Scale of Motives for Using Social Networking Sites, eudaimonic well-being, the Sexual Minority Adolescent Stress Inventory, screen time and profile type. Results: The results found that longer use time is related to finding partners, social connection and friendships; that gay and bisexual (GB) adolescents perceive more distal stressors online; and that females have higher levels of well-being. Discussion: The public profiles of GB males increase self-expression, although minority stress can be related to discrimination, rejection or exclusion. Differentiated socialization may contribute to a higher level of well-being in females, with both active and passive uses positively effecting eudaimonic well-being in adolescents.(AU)

Mirror, mirror on my screen: Focus on self-presentation on social media is associated with perfectionism and disordered eating among adolescents. Results from the "LifeOnSoMe"-study.

BACKGROUND: Social media use, perfectionism, and disordered eating have all increased over the last decades. Some studies indicate that there is a relationship between self-presentation behaviors and being exposed to others' self-presentation on social media, and disordered eating. Studies also show that the relationship between focus on self-presentation and highly visual social media is stronger than for non-visual social media, hence facilitating upward social comparison. Nevertheless, no previous studies have investigated the link between adolescents' focus on self-presentation and upward social comparison on social media, and perfectionism and disordered eating, which is the aim of the present study. METHOD: The present study is based on a cross-sectional survey from the "LifeOnSoMe"-study (N = 3424), conducted in 2020 and 2021. Respondents were high school students (mean age 17.3 years, 56% females) in Bergen, Norway. Multiple regression analysis was performed, where SPAUSCIS, a measure of self-presentation and upward social comparison, was the independent variable. Perfectionism and disordered eating were dependent variables. Self-reported age, gender, and subjective socioeconomic status were used as covariates, as well as frequency and duration of social media use. Regression models were performed to compare proportions across the median split of SPAUSCIS. RESULTS: The multiple regression analysis showed that increased focus on self-presentation and upward social comparison on social media were positively associated with both perfectionism (standardized coefficient 0.28) and disordered eating. A stronger association for girls than boys was found for disordered eating (standardized coefficient 0.39 for girls and 0.29 for boys). There was no gender moderation for perfectionism. CONCLUSIONS: Findings suggest that focus on self-presentation and upward social comparison on social media is associated with perfectionism and disordered eating. We recommend promoting a healthy use of social media. This could be established by increasing adolescents' ability to reflect on and think critically about self-presentation and upward social comparison on social media.

Understanding mediated sports consumption by Irish children: a qualitative study exploring their exposure and understanding of gambling marketing, risks and harms.

BACKGROUND: Gambling marketing communications create a public health risk by increasing the normalisation of gambling in sports. In a context where broad level studies report significant underage gambling, currently no evidence exists on how these communications are received by children in the Republic of Ireland (hereafter Ireland) and Northern Ireland. To build this evidence base and provide granular detail below broad level data, this study explored the sport consumption habits and views of Irish children (aged 14-17 years) on their exposure, awareness and perceptions of the relationship between sport and gambling. METHODS: Drawing on a constructivist approach to data collection, 6 face-to-face focus groups were staged with a total of 51 youth sport consumers from both sides of the border region on the island of Ireland. RESULTS: Four main themes were established. First, mediated sport consumption was predominantly via mobile social media. Second, we found that their exposure to gambling marketing was high and while frequently seen through social media channels it was also prevalent in peer-to-peer conversations and on the main street. Third, we found mixed responses on their perceptions about gambling and sport. While many felt that sport and gambling were a good fit, they were aware of the financial risks involved. Few children understood the wider social risks with gambling harm. Fourth, children were sceptical of claims made in gambling communications. These findings highlight concerns about how exposure to gambling marketing is impacting children's views on sport and on gambling. These views need to be taken into consideration when broadcasters and sport organizations are entering into commercial associations. CONCLUSIONS: Gambling marketing is noticed by children watching mass and social media, and in the towns in the border regions of the island of Ireland. Our study provides children's viewpoints on this topic which complements the larger quantitative studies in Ireland and Northern Ireland that highlight the growing prevalence of children and gambling. This study not only extends the literature on the exposure, awareness and perceptions of children on the island of Ireland but provides crucial evidence to public health advocates in this region demonstrating the pervasiveness of gambling communications in and around children's spaces.

Using geotagged facial expressions to visualize and characterize different demographic groups' emotion in theme parks.

Tourism is an emotional sphere, and researchers focus on emotions to optimize tourism experiences. Tourism studies on emotions mostly ignore differences in emotions across demographic tourist groups by gender and age, thus limiting the understanding of emotions to the explicit characteristics of tourists' emotions. On the basis of geotagged facial expressions on social media platforms, this study aims to visualize the emotions of groups in scenic spots and then reveal the variations between groups' emotions within theme parks. By employing a facial recognition algorithm, an emotion distribution graph was proposed to represent groups' emotions in detail. Some analytical methods were combined to characterize of the emotion distribution of each group. Through a comprehensive comparison, the results suggest that there are unique characteristics of emotion distribution for each group and considerable variations between them. This study helps researchers achieve a deeper understanding of tourists' emotional differences and enhances the theorization of emotions. This research also highlights the advantages and significant practical implications of our method framework.

A quantitative content analysis of topical characteristics of the online COVID-19 infodemic in the United States and Japan.

BACKGROUND: The COVID-19 pandemic has spurred the growth of a global infodemic. In order to combat the COVID-19 infodemic, it is necessary to understand what kinds of misinformation are spreading. Furthermore, various local factors influence how the infodemic manifests in different countries. Therefore, understanding how and why infodemics differ between countries is a matter of interest for public health. This study aims to elucidate and compare the types of COVID-19 misinformation produced from the infodemic in the US and Japan. METHODS: COVID-19 fact-checking articles were obtained from the two largest publishers of fact-checking articles in each language. 1,743 US articles and 148 Japanese articles in their respective languages were gathered, with articles published between 23 January 2020 and 4 November 2022. Articles were analyzed using the free text mining software KH Coder. Exploration of frequently-occurring words and groups of related words was carried out. Based on agglomeration plots and prior research, eight categories of misinformation were created. Lastly, coding rules were created for these eight categories, and a chi-squared test was performed to compare the two datasets. RESULTS: Overall, the most frequent words in both languages were related to health-related terms, but the Japan dataset had more words referring to foreign countries. Among the eight categories, differences with chi-squared p ≤ 0.01 were found after Holm-Bonferroni p value adjustment for the proportions of misinformation regarding statistics (US 40.0% vs. JP 25.7%, ϕ 0.0792); origin of the virus and resultant discrimination (US 7.0% vs. JP 20.3%, ϕ 0.1311); and COVID-19 disease severity, treatment, or testing (US 32.6% vs. JP 45.9%, ϕ 0.0756). CONCLUSIONS: Local contextual factors were found that likely influenced the infodemic in both countries; representations of these factors include societal polarization in the US and the HPV vaccine scare in Japan. It is possible that Japan's relative resistance to misinformation affects the kinds of misinformation consumed, directing attention away from conspiracy theories and towards health-related issues. However, more studies need to be done to verify whether misinformation resistance affects misinformation consumption patterns this way.

Is YouTube a sufficient source of information on Sarcoidosis?

BACKGROUND: The internet is a common source of health information for patients and caregivers. To date, content and information quality of YouTube videos on sarcoidosis has not been studied. The aim of our study was to investigate the content and quality of information on sarcoidosis provided by YouTube videos. METHODS: Of the first 200 results under the search term "sarcoidosis," all English-language videos with content directed at patients were included. Two independent investigators assessed the content of the videos based on 25 predefined key features (content score with 0-25 points), as well as reliability and quality (HONCode score with 0-8 points, DISCERN score with 1-5 points). Misinformation contained in the videos was described qualitatively. RESULTS: The majority of the 85 included videos were from an academic or governmental source (n = 63, 74%), and median time since upload was 33 months (IQR 10-55). Median video duration was 8 min (IQR 3-13) and had a median of 2,044 views (IQR 504 - 13,203). Quality assessment suggested partially sufficient information: mean HONCode score was 4.4 (SD 0.9) with 91% of videos having a medium quality HONCode evaluation. Mean DISCERN score was 2.3 (SD 0.5). Video content was generally poor with a mean of 10.5 points (SD 0.6). Frequently absent key features included information on the course of disease (6%), presence of substantial geographical variation (7%), and importance of screening for extrapulmonary manifestations (11%). HONCode scores were higher in videos from academic or governmental sources (p = 0.003), particularly regarding "transparency of sponsorship" (p < 0.001). DISCERN and content scores did not differ by video category. CONCLUSIONS: Most YouTube videos present incomplete information reflected in a poor content score, especially regarding screening for extrapulmonary manifestations. Quality was partially sufficient with higher scores in videos from academic or governmental sources, but often missing references and citing specific evidence. Improving patient access to trustworthy and up to date information is needed.

ChatGPT to the rescue?

For years, but especially since the pandemic, this page and many others in Science and elsewhere have been filled with lamentations about the spread of scientific misinformation-and hand wringing on how to prevent it. High-speed sharing and the relentless activity of social media influencers have made this difficult problem even worse. Dangerous skepticism about the COVID-19 vaccine, for example, continues to stoke wider hesitancy to other vaccines, a disastrous consequence for public health. Solutions to blunt scientific misinformation have been elusive. Now a new study, reported in this issue of Science, suggests that artificial intelligence (AI) could provide a means to dispel misinformation and in a way that lasts.

Reclaiming the concept of professionalism in the digital context: a principle-based concept analysis.

BACKGROUND: There has been an alarming surge in the usage of social networking sites (SNSs) by healthcare professionals (HCPs) without adherence to the principles of professionalism. The widespread use of SNSs in medical practices has been coupled with reports of breaches of professional behaviors. Despite the benefits of SNSs, skepticism prevails about a clearly defined role for SNSs within medicine based upon the core principles of professionalism. Thus, there is a need to understand the manifestations of professionalism in the digital context, classically known as e-professionalism. This study systematically examines HCPs' perceptions of e-professionalism to advance a thorough understanding of e-professionalism. METHODS: This concept analysis was performed using the principle-based approach of Penrod and Hupcey. In January 2023, we searched the databases of PubMed and ISI Web of Science for English-language articles specific to 'e-professionalism' in the medical field. The final selected research corpus of 63 articles was analyzed in this study. RESULTS: A comprehensive analysis of the selected articles highlighted that e-professionalism is an epistemologically mature and distinct concept by a standard definition. However, inconsistencies in conceptual meanings were reported due to varied interpretations despite digital literacy. The pragmatic utility showed a lack of sound methodological and philosophical paradigms. Perhaps the rapid technological advancements and manifestations have hampered linguistic maturity. However, logically, e-professionalism is perceived as an extension of conventional professionalism but with a focus on a distinct framework with a set of attributes to be digitally relevant. CONCLUSION: This study identifies a scarcity of research about the collective perspective of essential stakeholders, underpinning the need to further explore e-professionalism due to its emerging complex nature within the digital context. There is also a recognition that a framework is essential to guide future HCPs to yield a profound understanding and to provide remediation strategies in the rapidly advancing medical field in digital realm.

This principle-based concept analysis provides a nuanced understanding of e-professionalism, addressing its theoretical integration, practical utility, linguistic challenges, and logical boundaries.E-professionalism is acknowledged as a distinct concept across medical disciplines but variations in its interpretation demands a standard, unified, and multi-construct framework.A wealth of generational perceptions surround the concept of e-professionalism, including digital literacy and competency gap, signifying the importance of tailored educational strategies to ensure healthcare professionals uphold high standards while practicing in the digital realm.

Natural Language Processing for Depression Prediction on Sina Weibo: Method Study and Analysis.

Background: Depression represents a pressing global public health concern, impacting the physical and mental well-being of hundreds of millions worldwide. Notwithstanding advances in clinical practice, an alarming number of individuals at risk for depression continue to face significant barriers to timely diagnosis and effective treatment, thereby exacerbating a burgeoning social health crisis. Objective: This study seeks to develop a novel online depression risk detection method using natural language processing technology to identify individuals at risk of depression on the Chinese social media platform Sina Weibo. Methods: First, we collected approximately 527,333 posts publicly shared over 1 year from 1600 individuals with depression and 1600 individuals without depression on the Sina Weibo platform. We then developed a hierarchical transformer network for learning user-level semantic representations, which consists of 3 primary components: a word-level encoder, a post-level encoder, and a semantic aggregation encoder. The word-level encoder learns semantic embeddings from individual posts, while the post-level encoder explores features in user post sequences. The semantic aggregation encoder aggregates post sequence semantics to generate a user-level semantic representation that can be classified as depressed or nondepressed. Next, a classifier is employed to predict the risk of depression. Finally, we conducted statistical and linguistic analyses of the post content from individuals with and without depression using the Chinese Linguistic Inquiry and Word Count. Results: We divided the original data set into training, validation, and test sets. The training set consisted of 1000 individuals with depression and 1000 individuals without depression. Similarly, each validation and test set comprised 600 users, with 300 individuals from both cohorts (depression and nondepression). Our method achieved an accuracy of 84.62%, precision of 84.43%, recall of 84.50%, and F1-score of 84.32% on the test set without employing sampling techniques. However, by applying our proposed retrieval-based sampling strategy, we observed significant improvements in performance: an accuracy of 95.46%, precision of 95.30%, recall of 95.70%, and F1-score of 95.43%. These outstanding results clearly demonstrate the effectiveness and superiority of our proposed depression risk detection model and retrieval-based sampling technique. This breakthrough provides new insights for large-scale depression detection through social media. Through language behavior analysis, we discovered that individuals with depression are more likely to use negation words (the value of "swear" is 0.001253). This may indicate the presence of negative emotions, rejection, doubt, disagreement, or aversion in individuals with depression. Additionally, our analysis revealed that individuals with depression tend to use negative emotional vocabulary in their expressions ("NegEmo": 0.022306; "Anx": 0.003829; "Anger": 0.004327; "Sad": 0.005740), which may reflect their internal negative emotions and psychological state. This frequent use of negative vocabulary could be a way for individuals with depression to express negative feelings toward life, themselves, or their surrounding environment. Conclusions: The research results indicate the feasibility and effectiveness of using deep learning methods to detect the risk of depression. These findings provide insights into the potential for large-scale, automated, and noninvasive prediction of depression among online social media users.

Factors Associated With the Use of Digital Technology Among Youth in Zimbabwe: Findings From a Cross-Sectional Population-Based Survey.

BACKGROUND: Globally, the increasing use of digital technologies such as mobile phones and the internet has allowed for the development of innovative mobile health interventions, particularly for reaching and engaging with youth. However, there is a risk that using such technologies may exclude those who lack access to them. OBJECTIVE: In this study, we investigated the sociodemographic factors associated with mobile phone ownership, internet use, and social media use among youth in Zimbabwe. METHODS: A population-based prevalence survey was conducted in 24 urban and periurban communities across 3 provinces of Zimbabwe (Harare, Mashonaland East, and Bulawayo). Youths aged 18 to 24 years resident in randomly selected households in the study communities completed an interviewer-administered questionnaire. The primary outcomes were mobile phone ownership and current internet and social media use. A household wealth indicator was developed using principal components analysis, based on household asset ownership. Multivariable logistic regression was used to investigate the factors associated with each primary outcome. Age, sex, and province were considered a priori confounders. Household wealth, marital status, education level, employment status, time lived at current address, and HIV status were included in the final multivariable model if there was an age-, sex-, and province-adjusted association with a primary outcome on univariable analysis at a significance level of P<.10. RESULTS: Of the 17,636 participants assessed for the primary outcome, 16,370 (92.82%) had access to a mobile phone, and 15,454 (87.63%) owned a mobile phone. Among participants with access to a mobile phone, 58.61% (9594/16,370) and 57.79% (9460/16,370), respectively, used internet and social media at least weekly. Older age (adjusted odds ratio [aOR] 1.76, 95% CI 1.55-2.00), increasing wealth (ranging from aOR 1.85, 95% CI 1.58-2.16, for wealth quintile 2 to aOR 3.80, 95% CI 3.00-4.80, for wealth quintile 5, with quintile 1 as reference), and higher education level (secondary: aOR 1.96, 95% CI 1.60-2.39; tertiary: aOR 8.36, 95% CI 5.29-13.20) were associated with mobile phone ownership. Older age, male sex, increasing wealth, having never been married, higher education level, being in education or formal employment, and having lived at the same address for ≥2 years were associated with higher levels of internet and social media use. CONCLUSIONS: While mobile phone ownership was near-universal, over one-third of youths in urban and periurban settings did not have access to the internet and social media. Access to the internet and social media use were strongly associated with household wealth and education level. Mobile health interventions must ensure that they do not amplify existing inequalities in access to health care. Such interventions must be accompanied by alternative strategies to engage and enroll individuals without internet or social media access to prevent the exclusion of young people by sex and socioeconomic status.

[To evaluate the effect of health science popularization in child caregivers by using WeChat and Weibo as communication media].

Objective: To evaluate the effect of health science popularization in child caregivers by using social media of WeChat and Weibo in China in 2020. Methods: A questionnaire was designed based on the knowledge of children health from January to March 2020, and the public were invited to participate in the survey by visiting the official accounts of WeChat and Weibo of China CDC to analyze the awareness of health related knowledge and the change of daily behaviors in the child caregivers. Results: In the 1 325 child caregivers included in this survey, the awareness rate of chronic disease reexamine was lowest (74.94%), and the awareness rate of quality-oriented education was highest (99.55%). In the 7 questions in the questionnaire, the correct answer rate of the question about the reexamine of chronic disease was <75.00% (below the standard), the correct answer rate to other six questions were all ≥75.00% (above the standard). Logistic regression analysis showed that the education levels of senior high school or technical secondary school, junior college, bachelor's degree, master's degree or above, being worker, business/service personnel, teacher and company employee were the influencing factors for the awareness of the chronic disease related knowledge in child caregivers (all P<0.05). The daily behaviors of child caregivers after acquiring health knowledge were significantly improved (all P<0.001). Conclusions: In the season with high incidence of respiratory diseases, the use of new media platforms, such as WeChat and Weibo, to conduct health education had a good performance, resulting in higher rate of knowledge about healthy parenting and a significant improvement in daily behaviors in child caregivers. The results showed that the health education about the reexamine of chronic diseases in children should be focused on child caregivers with low education level, especially workers, business/service personnel.

Diet culture on TikTok: a descriptive content analysis.

OBJECTIVE: To investigate how dieting is portrayed on TikTok and the potential implications for public health considering the effect of diet culture on eating disorders amongst young people. DESIGN: A cross-sectional descriptive content analysis of 250 videos from the five most popular diet-related hashtags. A codebook was developed to analyse the content of the videos and collect the engagement for each video (likes, comments and shares). SETTING: TikTok website. PARTICIPANTS: There were no participants in this study. RESULTS: More than half of the videos portrayed 'body checking', a potentially harmful practice for body image. Of the videos that represented body image, almost half represented body image negatively. However, most videos promoted the idea of 'healthy eating', and only 6·4 % displayed disordered eating behaviours. Over half of the videos provided dietary advice, and of those videos, most content creators claimed to be experts (64 %). Claiming expertise was not significantly associated with engagement; however, the use of humour was significantly associated with engagement. Additionally, males were more likely than females to disclose their goals of the diet. CONCLUSIONS: Overall, it appears that TikTok is commonly used to share nutrition tips and personal experiences around dieting and eating in general, often employing humour as an effective technique. The popularity of the platform and rapid dissemination of information would be a useful tool for health professionals, especially those working with eating disorders, to utilise.

Exploring nutrition-related interests of the transgender and gender-diverse community: a content analysis of a transgender-centric discussion forum on Reddit.

OBJECTIVE: The solicitation of nutrition-related health advice on social media platforms is on the rise. However, there is a paucity of research on the distinctive nutrition-related concerns and needs faced by transgender and gender-diverse individuals. Understanding patterns of nutrition-related information-seeking behaviour is vital to advancing health promotion efforts within this community. This study aimed to characterise the nutrition-related questions posed by the transgender community on a prominent social media outlet, Reddit. DESIGN: A qualitative, cross-sectional content analysis was conducted, focusing on the top 100 submissions (ranked by popularity) within a transgender-centric online subreddit (r/asktransgender). Data extraction was facilitated using the Application Programming Interface Pushshift. The content analysis was conducted using NVivo. SETTING: The study was situated within the discussion forum of the social media platform, Reddit. RESULTS: A total of 148 references from 90 eligible posts were identified and coded. The major themes included the effects of hormone replacement therapy (HRT) on nutritional health (n 66), weight status (n 45), dietary needs and behaviours (n 21), physical activity and weight loss on body shape (n 9), social undermining (n 4) and effects of health behaviours on HRT (n 3). CONCLUSION: This study underscores the pressing need for tailored and evidence-based nutrition guidelines and communication toolkits that specifically address the distinct needs and experiences of transgender individuals, particularly those undergoing HRT.

Letter to editor: A randomized controlled trial of social media promotion in neurosurgical publishing.

This letter recognizes the authors' commendable work in examining the role of social media in promoting neurosurgical research. It also underscores the necessity for more robust methodologies in future studies to clearly assess the impact of social media promotion and to ensure that findings are generalizable, addressing the limitations of the current study.