Science Says

Introduction: Many medical education journals use Twitter to garner attention for their articles. The purpose of this study was to test the effects of tweeting on article page views and downloads.

Methods: The authors conducted a randomized trial using Academic Medicine articles published in 2015. Beginning in February through May 2018, one article per day was randomly assigned to a Twitter (case) or control group. Daily, an individual tweet was generated for each article in the Twitter group that included the title, #MedEd, and a link to the article. The link delivered users to the article’s landing page, which included immediate access to the HTML full text and a PDF link. The authors extracted HTML page views and PDF downloads from the publisher. To assess differences in page views and downloads between cases and controls, a time-centered approach was used, with outcomes measured at 1, 7, and 30 days.

Results: In total, 189 articles (94 cases, 95 controls) were analyzed. After days 1 and 7, there were no statistically significant differences between cases and controls on any metric. On day 30, HTML page views exhibited a 63% increase for cases (M = 14.72, SD = 63.68) when compared to controls (M = 9.01, SD = 14.34; incident rate ratio = 1.63, p = 0.01). There were no differences between cases and controls for PDF downloads on day 30.

Discussion: Contrary to the authors’ hypothesis, only one statistically significant difference in page views between the Twitter and control groups was found. These findings provide preliminary evidence that after 30 days a tweet can have a small positive effect on article page views.

Maggio LA, Leroux TC, Artino AR Jr. To tweet or not to tweet, that is the question: A randomized trial of Twitter effects in medical education. PLoS One. 2019;14(10):e0223992. Published 2019 Oct 16. doi:10.1371/journal.pone.0223992

This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

Sections of the Abstract, Introduction, and Discussion are presented in the Podcast. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6795488/

The practice of medicine is changing with the development of new Artificial Intelligence (AI) methods of machine learning. Coupled with rapid improvements in computer processing, these AI-based systems are already improving the accuracy and efficiency of diagnosis and treatment across various specializations. The increasing focus of AI in radiology has led to some experts suggesting that someday AI may even replace radiologists. These suggestions raise the question of whether AI-based systems will eventually replace physicians in some specializations or will augment the role of physicians without actually replacing them. To assess the impact on physicians this research seeks to better understand this technology and how it is transforming medicine. To that end this paper researches the role of AI-based systems in performing medical work in specializations including radiology, pathology, ophthalmology, and cardiology. It concludes that AI-based systems will augment physicians and are unlikely to replace the traditional physician–patient relationship.

Ahuja AS. The impact of artificial intelligence in medicine on the future role of the physician. PeerJ. 2019;7:e7702. Published 2019 Oct 4. doi:10.7717/peerj.7702.

This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

Sections of the Abstract, Introduction, and Conclusion are presented in the Podcast. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6779111/

Convergent creativity is a form of creative thinking that uses existing knowledge or traditional methods to analyze available information and generate an appropriate solution. The differences in the performance of participants in convergent creativity caused by bilingual learning is a popular research area in creativity. A final sample of 68 participants was asked to complete the remote associates test (RAT). The results indicate that a moderate positive correlation exists between bilingual learning and convergent creativity. Students who want to study abroad perform better on the RAT than those who do not, and this effect is mediated by second language proficiency. These findings suggest that improving students’ English proficiency and increasing their opportunities to study abroad may be effective ways to promoting convergent creativity.

Zhao Y, Yuan Y, Shen W, Zhu C, Liu D. The relationships between bilingual learning, willingness to study abroad and convergent creativity. PeerJ. 2019;7:e7776. Published 2019 Sep 26. doi:10.7717/peerj.7776.

This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

Sections of the Abstract, Introduction, Discussion, and Conclusion are presented in the Podcast. Link to the full-text article:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6766371/

Using artificial intelligence and machine learning techniques in different medical fields, especially emergency medicine is rapidly growing. In this paper, studies conducted in the recent years on using artificial intelligence in emergency medicine have been collected and assessed. These studies belonged to three categories: prediction and detection of disease; prediction of need for admission, discharge and also mortality; and machine learning based triage systems. In each of these categories, the most important studies have been chosen and accuracy and results of the algorithms have been briefly evaluated by mentioning machine learning techniques and used datasets.

Shafaf N, Malek H. Applications of Machine Learning Approaches in Emergency Medicine; a Review Article. Arch Acad Emerg Med. 2019;7(1):34. Published 2019 Jun 3.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Sections of the Abstract, Introduction, and Conclusion are presented in the Podcast. Link to the full-text article: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6732202/

Due to the societal dissemination of digital technology, people are increasingly experiencing environmental topics through digital media channels such as social networks. Several researchers therefore have proposed these channels as a possibility to strengthen sustainable development based on their cost-efficient nature. But while prior studies have investigated isolated factors for understanding environmental social media behavior, there is still scarce understanding of the relevant underlying motivational factors and possible connections with more traditional environmental behaviors. Therefore, the present study applied the established socio-psychological model of goal-directed behavior and compared the desires for liking as a fundamental form of digital social media behavior with the desires for two traditional environmental behaviors (money donation and volunteering) in a cross-sectional research design. Within the biodiversity conservation case of the Andean bear (Tremarctos ornatus) in Ecuador, we compared the antecedents for the desires for the corresponding environmental behaviors (RQ1) as well as their connections between each other (RQ2). Within a sample of 407 Ecuadorian students (Mage = 20.94 years, SD = 2.25, 61.2% female), we found the marginal effect of perceived behavioral control on the desires for liking on social media as the main difference concerning the antecedents of the behaviors because money donation and volunteering largely depended on personal resources such as time or money. Furthermore, gender emerged as the second main difference between the behaviors due to it only being predictive for the liking motivation. Enjoyment was the only variable that coherently predicted all three behaviors. Finally, desires for liking on social media predicted both other behaviors in robust regression analyses, but were only predictive for volunteering in corresponding path models. The results illustrate how cost-efficient digital environmental behaviors such as liking may be suitable for sparking low-level environmental action, which may entail more pronounced forms of environmental activism, at least when they involve feasible personal costs. Overall, the findings are in line with prior research regarding the less demanding nature of liking, but further elaborate on the importance of gender for digital environmental behavior and correlates between digital and classical environmental behaviors.

Büssing AG, Thielking A, Menzel S. Can a Like Save the Planet? Comparing Antecedents of and Correlations Between Environmental Liking on Social Media, Money Donation, and Volunteering. Front Psychol. 2019;10:1989. Published 2019 Aug 28. doi:10.3389/fpsyg.2019.01989.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Sections of the Abstract, Introduction, and Discussion are presented in the Podcast. Link to the full-text article: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6722222/

Adolescence is a period of life during which peers play a pivotal role in decision-making. The narrative of social influence during adolescence often revolves around risky and maladaptive decisions, like driving under the influence, and using illegal substances (Steinberg, 2005). However, research has also shown that social influence can lead to increased prosocial behaviors (Van Hoorn et al., 2017) and a reduction in risk-taking (Braams et al., 2019). While many studies support the notion that adolescents are more sensitive to peer influence than children or adults, the developmental processes that underlie this sensitivity remain poorly understood. We argue that one important reason for this lack of understanding is the absence of precisely formulated models. To make a first step toward formal models of social influence during adolescence, we first identify three prominent verbal models of social influence in the literature: (1) social motivation, (2) reward sensitivity, and (3) distraction. We then illustrate how these can be translated into formal models, and how such formal models can inform experimental design and help identify developmental processes. Finally, by applying our formal models to existing datasets, we demonstrate the usefulness of formalization by synthesizing different studies with seemingly disparate results. We conclude with a discussion on how formal modeling can be utilized to better investigate the development of peer influence in adolescence.

Ciranka S, van den Bos W. Social Influence in Adolescent Decision-Making: A Formal Framework. Front Psychol. 2019;10:1915. Published 2019 Aug 29. doi:10.3389/fpsyg.2019.01915.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Sections of the Abstract, Introduction, and Discussion are presented in the Podcast. Link to the full-text article: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6727856/

American parents greatly value children’s happiness, citing it well above other possible priorities. This commitment to happiness, shared with parents in other Western societies but not elsewhere, is an important feature of popular emotional culture. But the commitment is also the product of modern history, emerging clearly only in the 19th century. This article explains the contrast between more traditional and modern views, and explains the origins but also the evolution of the idea of a happy childhood. Early outcomes, for example, included the novel practice of hosting parties for children’s birthdays, another mid-19th-century innovation that has expanded over time. Explaining the intensification of the happiness commitment also reveals some of the downsides of this aspect of popular emotional culture, for example in measurably complicating reactions to childish unhappiness. The basic goal of the essay is to use this important facet of modern emotional history to evaluate a commitment that many modern parents assume is simply natural.

Stearns PN. Happy Children: A Modern Emotional Commitment. Front Psychol. 2019;10:2025. Published 2019 Sep 6. doi:10.3389/fpsyg.2019.02025.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Link to the full-text article: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6742924/

Background: Public health and governmental organizations are expected to provide guidance to the public on emerging health issues in accessible formats. It is, therefore, important to examine how such organizations are discussing cannabis online and the information that is being provided to the public about this increasingly legal and available substance.

Methods: This paper presents a concise thematic analysis of both the volume and content of cannabis-related health information from selected (n = 13) national-level public health and governmental organizations in Canada and the U.S. on Twitter.

Results: There were eight themes identified in Tweets including 1) health-related topics; 2) legalization and legislation; 3) research on cannabis; 4) special populations; 5) driving and cannabis; 6) population issues; 7) medical cannabis, and 8) public health issues. The majority of cannabis-related Tweets from the organizations studied came from relatively few organizations and there were substantial differences between the topics covered by U.S. and Canadian organizations. The organizations studied provided limited information regarding how to use cannabis in ways that will minimize health-related harms.

Conclusions: Authoritative organizations that deal with public health may consider designing timely social media communications with emerging cannabis-related information, to benefit a general public otherwise exposed to primarily pro-cannabis content on Twitter.

van Draanen J, Krishna T, Tsang C, Liu S. Keeping up with the times: how national public health and governmental organizations communicate about cannabis on Twitter. Subst Abuse Treat Prev Policy. 2019;14(1):38. Published 2019 Sep 12. doi:10.1186/s13011-019-0224-3.

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Sections of the Abstract, Introduction, Methods, and Conclusion are presented in the Podcast. Link to the full-text article: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6739954/

Investigating the mood-creativity relationship in everyday life is important for innovation promotion in organizational management. This study explores the relationship between mood states and everyday creativity using two different measurement methods. Both the experience sampling method (ESM) and the day reconstruction method (DRM) were simultaneously applied to conduct a 15-day follow-up study of the relationship between 10 typical positive and negative moods and creativity in daily situations. In total, 31 corporate employees participated in the study. Participants reported their mood states and creativity at three time points per day by using ESM; they also recalled and reported their mood states and creativity for at least three major events per day at the end of each day by using DRM. In total, we collected 935 valid measurements from ESM and 1260 valid measurements from DRM. The results revealed that highly active, positive moods including happiness, concentration, feeling active and interested had significant positive correlations with creativity, while the low-activity, negative mood states of feeling tired and sleepy were associated with low creativity. Both DRM-based and ESM-based results were largely consistent in measuring individual’s mood states and everyday creativity. To our knowledge, this is the first study to conduct DRM for mood-creativity relationship. The high consistency between the two daily research methods provides further empirical evidence toward a comprehensive understanding of mood and creativity. As DRM imposes a lessened respondent load on the participants as compared to ESM, our results suggest DRM as a promising tool for further mood-creativity research.

Han W, Feng X, Zhang M, Peng K, Zhang D. Mood States and Everyday Creativity: Employing an Experience Sampling Method and a Day Reconstruction Method. Front Psychol. 2019;10:1698. Published 2019 Jul 19. doi:10.3389/fpsyg.2019.01698.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Sections of the Abstract, Introduction, and Discussion are presented in the Podcast. Link to the full-text article: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6658875/

Background: Eating disorders among adolescents are an ongoing public health concern. Sustainable health promotion programmes require a thorough understanding of the social context in which minors engage. Initial studies show that young people make extensive use of social networks in order to exchange experiences and gather information. During this process their (buying) behaviour is significantly affected by so-called influencers.

Methods: The exploratory research studies non-campaign driven health communication on dieting and exercise by influencers in social networks with a focus on content, techniques and visible impact. In a mixed methods approach, we initially analysed 1000 posts from influencers on Instagram quantitatively. Subsequently we conducted an in-depth content analysis of 9 extreme and 27 typical communication threads.

Results: Influencers gain the trust and friendship of their followers by designing body-shape focused visual content and targeted communication techniques. They identify and define diet and exercise as factors to be controlled for body perfection. By consuming dietary supplements and wearing tight-fitting branded sportswear, influencers promise a simplified way of optimizing one’s appearance as the key to happiness. Direct and surreptitious advertising of industry-specific products constitutes the communicative focus. At the same time, minors identify with the roles and ideals demonstrated by influencers and their needs are satisfied on several different levels. This creates a relationship of dependency between influencers and their followers.

Conclusions: The dynamics in the field of health communication by influencers on social networks will become increasingly important in the coming years. This is largely due to the targeted demand on the part of (mainly) underage users and the high attractiveness of influencer marketing on the part of companies. Influencers suggest a dependence on happiness, well-being, health and beauty. Only those who create a body shaped through control and discipline are healthy and beautiful - and can be happy. The indirectly communicated conclusions, which can be considered as extremely critical, illustrate the need for action in order to protect and positively accompany young people in their psychological and physical development. The shift of authority figures within Generation Z, as well as identified communication techniques, can be considered and may be harnessed by targeted, group-oriented campaign designs.

Pilgrim K, Bohnet-Joschko S. Selling health and happiness how influencers communicate on Instagram about dieting and exercise: mixed methods research. BMC Public Health. 2019;19(1):1054. Published 2019 Aug 6. doi:10.1186/s12889-019-7387-8.

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Sections of the Abstract, Introduction, and Conclusion are presented in the Podcast. Link to the full-text article: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6683418