The American Academy of Health Behavior (AAHB) hosted it's 21th Annual Scientific Meeting online in March 2021. The meeting's theme was "Transforming the Narrative to Meet Emerging Health Behavior Challenges". This publication describes the meeting theme and includes the refereed abstracts presented at the 2021 Annual Scientific Meeting.
{"title":"The American Academy of Health Behavior 2021 Annual Scientific Meeting: \"Transforming the Narrative to Meet Emerging Health Behavior Challenges\"","authors":"L. Ann","doi":"10.4148/2572-1836.1121","DOIUrl":"https://doi.org/10.4148/2572-1836.1121","url":null,"abstract":"The American Academy of Health Behavior (AAHB) hosted it's 21th Annual Scientific Meeting online in March 2021. The meeting's theme was \"Transforming the Narrative to Meet Emerging Health Behavior Challenges\". This publication describes the meeting theme and includes the refereed abstracts presented at the 2021 Annual Scientific Meeting.","PeriodicalId":73205,"journal":{"name":"Health behavior research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47121346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jordan L. Nelon, Mandy N. Spadine, Meg Patterson, Sydney E. Brown, Christina L Bookout, Lauren M. Woods, Sara K. Fehr
Abstract The ‘me too’ movement originated to help survivors of sexual violence by providing resources and building a community of advocates to exemplify the magnitude of sexual violence victimization. This movement gained momentum via Twitter due to the viral hashtag—#metoo. YouTube is often used as a means of expression in younger generations, thus sexual violence survivors began using the platform as a way to disseminate ‘me too’ narratives. Therefore, this study aimed to examine how sexual violence narratives resulting from the ‘me too’ movement are being told on YouTube and understand the components of the narratives related to self-blaming mindsets. Based on predetermined search criteria, researchers identified and screened YouTube videos of people sharing ‘me too’ narratives, and developed themes and codes (e.g., type of violence, perpetrator characteristics). Descriptive statistics and a logistic regression were conducted using demographic, experience, and attitudinal data to predict self-blaming mindsets. Sixty-two YouTube videos were included, consisting of 96 individual ‘me too’ stories. The sample was mostly female, and perpetrators were predominately strangers. The model explained 19.3% of the variance in self-blaming attitudes. Odds of self-blaming rose 4.589 times for those who experienced sexual harassment, and 6.109 times for those who experienced rape. If the perpetrator was not mentioned in the video, odds of self-blaming dropped by 89.4%. This study suggests self-blaming beliefs are prominent among victims, even when they have the space to share their story. Overall, our findings support the continued need for further education and support for victims. Abstract The ‘me too’ movement originated to help survivors of sexual violence by providing resources and building a community of advocates to exemplify the magnitude of sexual violence victimization. This movement gained momentum via Twitter due to the viral hashtag—#metoo. YouTube is often used as a means of expression in younger generations, thus sexual violence survivors began using the platform as a way to disseminate ‘me too’ narratives. Therefore, this study aimed to examine how sexual violence narratives resulting from the ‘me too’ movement are being told on YouTube and understand the components of the narratives related to self-blaming mindsets. Based on predetermined search criteria, researchers identified and screened YouTube videos of people sharing ‘me too’ narratives, and developed themes and codes (e.g., type of violence, perpetrator characteristics). Descriptive statistics and a logistic regression were conducted using demographic, experience, and attitudinal data to predict self-blaming mindsets. Sixty-two YouTube videos were included, consisting of 96 individual ‘me too’ stories. The sample was mostly female, and perpetrators were predominately strangers. The model explained 19.3% of the variance in self-blaming attitudes. Odds of self-blaming rose 4.589 times f
{"title":"An Observational Analysis of ‘Me Too’ Narratives from YouTube","authors":"Jordan L. Nelon, Mandy N. Spadine, Meg Patterson, Sydney E. Brown, Christina L Bookout, Lauren M. Woods, Sara K. Fehr","doi":"10.4148/2572-1836.1088","DOIUrl":"https://doi.org/10.4148/2572-1836.1088","url":null,"abstract":"Abstract The ‘me too’ movement originated to help survivors of sexual violence by providing resources and building a community of advocates to exemplify the magnitude of sexual violence victimization. This movement gained momentum via Twitter due to the viral hashtag—#metoo. YouTube is often used as a means of expression in younger generations, thus sexual violence survivors began using the platform as a way to disseminate ‘me too’ narratives. Therefore, this study aimed to examine how sexual violence narratives resulting from the ‘me too’ movement are being told on YouTube and understand the components of the narratives related to self-blaming mindsets. Based on predetermined search criteria, researchers identified and screened YouTube videos of people sharing ‘me too’ narratives, and developed themes and codes (e.g., type of violence, perpetrator characteristics). Descriptive statistics and a logistic regression were conducted using demographic, experience, and attitudinal data to predict self-blaming mindsets. Sixty-two YouTube videos were included, consisting of 96 individual ‘me too’ stories. The sample was mostly female, and perpetrators were predominately strangers. The model explained 19.3% of the variance in self-blaming attitudes. Odds of self-blaming rose 4.589 times for those who experienced sexual harassment, and 6.109 times for those who experienced rape. If the perpetrator was not mentioned in the video, odds of self-blaming dropped by 89.4%. This study suggests self-blaming beliefs are prominent among victims, even when they have the space to share their story. Overall, our findings support the continued need for further education and support for victims. Abstract The ‘me too’ movement originated to help survivors of sexual violence by providing resources and building a community of advocates to exemplify the magnitude of sexual violence victimization. This movement gained momentum via Twitter due to the viral hashtag—#metoo. YouTube is often used as a means of expression in younger generations, thus sexual violence survivors began using the platform as a way to disseminate ‘me too’ narratives. Therefore, this study aimed to examine how sexual violence narratives resulting from the ‘me too’ movement are being told on YouTube and understand the components of the narratives related to self-blaming mindsets. Based on predetermined search criteria, researchers identified and screened YouTube videos of people sharing ‘me too’ narratives, and developed themes and codes (e.g., type of violence, perpetrator characteristics). Descriptive statistics and a logistic regression were conducted using demographic, experience, and attitudinal data to predict self-blaming mindsets. Sixty-two YouTube videos were included, consisting of 96 individual ‘me too’ stories. The sample was mostly female, and perpetrators were predominately strangers. The model explained 19.3% of the variance in self-blaming attitudes. Odds of self-blaming rose 4.589 times f","PeriodicalId":73205,"journal":{"name":"Health behavior research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49204693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Reliance on social media for health information is widespread, yet impacts of social media use (SMU) on health behaviors during infectious disease pandemics are poorly understood. We used a random sample from a university student directory to invite students to take a cross-sectional online survey during the coronavirus pandemic. Survey questions assessed adherence to public health guidelines, knowledge of COVID-19/SARS-CoV2, and mental health symptoms. Students were classified based on their level of SMU for information on COVID-19 as: (1) none, (2) some use, or (3) main source. Weighted regressions were used to relate SMU to adherence (five-point scale) and knowledge (six-point scale), with higher scores representing higher adherence/knowledge, and to mental health (PHQ-8 and GAD-7 scales). The weighted prevalence of SMU for COVD-19 information was 71.3%, and 17.1% of students identified SMU as their main source of COVID-19 information (total N = 181). Mean adherence ranged from 3.71±0.17 (SEM) for none, to 3.94±0.14 (SEM) for main source, and differences were not statistically significant at the 95% confidence level. Knowledge scores decreased from 5.44±0.11 (SEM) for none, to 5.38±0.08 for some, and 5.23±0.16 for main source (p = 0.056). The weighted prevalence of depression was 38.7%, 43.1%, and 51.9% for none, some use, and main source; weighted prevalence of anxiety was 19.7%, 27.0%, and 36.7%, respectively. Effects of SMU for information during pandemics on health behavior merits further research, especially regarding adherence to public health guidelines. In the case of COVID-19, SMU may be negatively correlated with knowledge and mental health.
{"title":"Social Media Use and COVID-19: A Cross-Sectional Study Examining Health Behaviors, Knowledge, and Mental Health Among University of Nevada, Reno Students","authors":"Molly M. Hagen, S. Hartzell, Paul G. Devereux","doi":"10.4148/2572-1836.1100","DOIUrl":"https://doi.org/10.4148/2572-1836.1100","url":null,"abstract":"Reliance on social media for health information is widespread, yet impacts of social media use (SMU) on health behaviors during infectious disease pandemics are poorly understood. We used a random sample from a university student directory to invite students to take a cross-sectional online survey during the coronavirus pandemic. Survey questions assessed adherence to public health guidelines, knowledge of COVID-19/SARS-CoV2, and mental health symptoms. Students were classified based on their level of SMU for information on COVID-19 as: (1) none, (2) some use, or (3) main source. Weighted regressions were used to relate SMU to adherence (five-point scale) and knowledge (six-point scale), with higher scores representing higher adherence/knowledge, and to mental health (PHQ-8 and GAD-7 scales). The weighted prevalence of SMU for COVD-19 information was 71.3%, and 17.1% of students identified SMU as their main source of COVID-19 information (total N = 181). Mean adherence ranged from 3.71±0.17 (SEM) for none, to 3.94±0.14 (SEM) for main source, and differences were not statistically significant at the 95% confidence level. Knowledge scores decreased from 5.44±0.11 (SEM) for none, to 5.38±0.08 for some, and 5.23±0.16 for main source (p = 0.056). The weighted prevalence of depression was 38.7%, 43.1%, and 51.9% for none, some use, and main source; weighted prevalence of anxiety was 19.7%, 27.0%, and 36.7%, respectively. Effects of SMU for information during pandemics on health behavior merits further research, especially regarding adherence to public health guidelines. In the case of COVID-19, SMU may be negatively correlated with knowledge and mental health.","PeriodicalId":73205,"journal":{"name":"Health behavior research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41816054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Dunlap, Yu Lu, P. Dobbs, Nisha Khanal, Julia Oehlers, M. Cheney
The purpose of this study was to examine how college students post or share JUUL-related content on social media. Using a sequential explanatory mixed-methods design, current JUUL users (n = 667) completed a cross-sectional survey in March of 2019, then 51 participants completed in-person follow-up interviews in April of 2019. Survey questions asked about JUUL-related social media postings and commenting history as well as demographic questions. Interview participants were asked to explain their survey responses and were then shown the survey results and asked for reasons why they and others did not post or comment about JUUL on social media. Qualitative data were coded independently by two coders using NVivo, and analyzed for themes. Survey participant (ages 18-24, mean age 20 years, 50.5% female, and 80.6% white) responses showed 81% had not posted a JUUL-focused comment on social media and had not posted a picture of themselves JUULing in the past year. However, interviewees reported they had continued to post about JUUL on social media but moved away from more public social media accounts (e.g., Facebook); private Instagram and Snapchat accounts were used to post both JUUL use and JUUL-focused content without risk of damaging their personal image to family or potential employers. How social media use questions are asked is critical for understanding college student promotion of JUULing and social norms. Young adults protect their social media presence by not including themselves in JUUL-focused content; thus, the spread of JUULing through private social media like Snapchat or Finstas may not be identified and young adults normalize JUUL use through memes or
{"title":"College Students’ Use of Social Media and E-Cigarettes: How Correctly Identifying Platform Type Influences Findings","authors":"C. Dunlap, Yu Lu, P. Dobbs, Nisha Khanal, Julia Oehlers, M. Cheney","doi":"10.4148/2572-1836.1090","DOIUrl":"https://doi.org/10.4148/2572-1836.1090","url":null,"abstract":"The purpose of this study was to examine how college students post or share JUUL-related content on social media. Using a sequential explanatory mixed-methods design, current JUUL users (n = 667) completed a cross-sectional survey in March of 2019, then 51 participants completed in-person follow-up interviews in April of 2019. Survey questions asked about JUUL-related social media postings and commenting history as well as demographic questions. Interview participants were asked to explain their survey responses and were then shown the survey results and asked for reasons why they and others did not post or comment about JUUL on social media. Qualitative data were coded independently by two coders using NVivo, and analyzed for themes. Survey participant (ages 18-24, mean age 20 years, 50.5% female, and 80.6% white) responses showed 81% had not posted a JUUL-focused comment on social media and had not posted a picture of themselves JUULing in the past year. However, interviewees reported they had continued to post about JUUL on social media but moved away from more public social media accounts (e.g., Facebook); private Instagram and Snapchat accounts were used to post both JUUL use and JUUL-focused content without risk of damaging their personal image to family or potential employers. How social media use questions are asked is critical for understanding college student promotion of JUULing and social norms. Young adults protect their social media presence by not including themselves in JUUL-focused content; thus, the spread of JUULing through private social media like Snapchat or Finstas may not be identified and young adults normalize JUUL use through memes or","PeriodicalId":73205,"journal":{"name":"Health behavior research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45894529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Male college students have been observed to have low mental health literacy and help-seeking behaviors. The purpose of this study was to apply social marketing theory to address mental health literacy among male undergraduate students in order to improve both mental health literacy and help-seeking behaviors. The current study employed qualitative methods involving key informant interviews among male undergraduate university students (n = 26). Participants were provided three vignettes representing a male college student presenting with anxiety, depression, or stress during the key informant interviews. The concepts from the key informant interviews were mapped onto the social marketing theory marketing mix (product, price, place, promotion). The social marketing mix identified methods to improve professional help-seeking behaviors (product) among male undergraduate students by reducing stigma, both perceived social stigma and self-stigma, as well as addressing masculine norms (price) in locations where students are comfortable, such as the university health center or the Internet (place), by connecting the physical signs and symptoms (promotion) to mental health concerns. Findings were translated into a targeted and tailored social marketing campaign implemented in male restrooms in the campus recreation center. Social marketing theory is a valuable tool for developing targeted and tailored social marketing programs for mental well-being among college students.
{"title":"An Application of Social Marketing Theory to develop a social marketing campaign to address mental health literacy and help-seeking behavior among male college students","authors":"R. DeBate, Amy Gatto","doi":"10.4148/2572-1836.1095","DOIUrl":"https://doi.org/10.4148/2572-1836.1095","url":null,"abstract":"Male college students have been observed to have low mental health literacy and help-seeking behaviors. The purpose of this study was to apply social marketing theory to address mental health literacy among male undergraduate students in order to improve both mental health literacy and help-seeking behaviors. The current study employed qualitative methods involving key informant interviews among male undergraduate university students (n = 26). Participants were provided three vignettes representing a male college student presenting with anxiety, depression, or stress during the key informant interviews. The concepts from the key informant interviews were mapped onto the social marketing theory marketing mix (product, price, place, promotion). The social marketing mix identified methods to improve professional help-seeking behaviors (product) among male undergraduate students by reducing stigma, both perceived social stigma and self-stigma, as well as addressing masculine norms (price) in locations where students are comfortable, such as the university health center or the Internet (place), by connecting the physical signs and symptoms (promotion) to mental health concerns. Findings were translated into a targeted and tailored social marketing campaign implemented in male restrooms in the campus recreation center. Social marketing theory is a valuable tool for developing targeted and tailored social marketing programs for mental well-being among college students.","PeriodicalId":73205,"journal":{"name":"Health behavior research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44234060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Keeping the Dream Alive: The Back Story","authors":"Elbert D. Glover","doi":"10.4148/2572-1836.1116","DOIUrl":"https://doi.org/10.4148/2572-1836.1116","url":null,"abstract":"","PeriodicalId":73205,"journal":{"name":"Health behavior research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48561660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Litt, Angeles Astorga, Kayla Tate, E. Thompson, Melissa A. Lewis
Although there is a robust literature examining normative discrepancies for drinking, less is known related to normative discrepancies related to alcohol-posting behavior on social networking sites (SNS). Given that SNS are posited to be an important risk factor for adolescent and young adult alcohol use, the aims of the present study were to: (1) document descriptive and injunctive normative discrepancies for number of alcohol-related posts on SNS, (2) examine associations between frequency of using SNS platforms (Facebook, Instagram, Snapchat) and descriptive and injunctive normative discrepancies, and (3) to examine whether descriptive and injunctive normative discrepancies are associated with willingness to use alcohol and drinking among adolescents and young adults. Data were drawn from the baseline assessment of a larger longitudinal experimental study (N= 306, age 15-20). Overall, participants perceived that their peers are more approving of and post about alcohol use more often than they do themselves, thus indicating significant descriptive and injunctive normative discrepancies. More frequent use of Facebook was associated with having greater descriptive normative discrepancies, whereas frequency of both Facebook and Instagram use were associated with greater injunctive normative discrepancies. Results further indicated that controlling for frequency of SNS use, descriptive normative discrepancies, but not injunctive, were associated with greater willingness to drink and drinks per week. Results provide evidence that in particular, descriptive normative discrepancies for SNS use may be important to target when planning intervention programs to reduce the impact of SNS use on adolescent and young adult alcohol use.
{"title":"Disentangling Associations Between Frequency of Specific Social Networking Site Platform Use, Normative Discrepancies, and Alcohol Use Among Adolescents and Underage Young Adults","authors":"D. Litt, Angeles Astorga, Kayla Tate, E. Thompson, Melissa A. Lewis","doi":"10.4148/2572-1836.1099","DOIUrl":"https://doi.org/10.4148/2572-1836.1099","url":null,"abstract":"Although there is a robust literature examining normative discrepancies for drinking, less is known related to normative discrepancies related to alcohol-posting behavior on social networking sites (SNS). Given that SNS are posited to be an important risk factor for adolescent and young adult alcohol use, the aims of the present study were to: (1) document descriptive and injunctive normative discrepancies for number of alcohol-related posts on SNS, (2) examine associations between frequency of using SNS platforms (Facebook, Instagram, Snapchat) and descriptive and injunctive normative discrepancies, and (3) to examine whether descriptive and injunctive normative discrepancies are associated with willingness to use alcohol and drinking among adolescents and young adults. Data were drawn from the baseline assessment of a larger longitudinal experimental study (N= 306, age 15-20). Overall, participants perceived that their peers are more approving of and post about alcohol use more often than they do themselves, thus indicating significant descriptive and injunctive normative discrepancies. More frequent use of Facebook was associated with having greater descriptive normative discrepancies, whereas frequency of both Facebook and Instagram use were associated with greater injunctive normative discrepancies. Results further indicated that controlling for frequency of SNS use, descriptive normative discrepancies, but not injunctive, were associated with greater willingness to drink and drinks per week. Results provide evidence that in particular, descriptive normative discrepancies for SNS use may be important to target when planning intervention programs to reduce the impact of SNS use on adolescent and young adult alcohol use.","PeriodicalId":73205,"journal":{"name":"Health behavior research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41283820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Social media platforms like Instagram serve as an important mechanism for transmitting social information and influence. However, the nature and use of these platforms are known to perpetuate eating disorders (EDs) or further disorder eating symptoms. This concept paper proposes merging health behavior and communication theory to create a comprehensive and applicable framework for remediating pro-eating disorder social media content among people who have eating disorders. To this end, the Social Media Wellness Model, which is adapted from the Health Belief Model, the Uses and Gratifications approach, the MAIN model of media affordances, and media literacy training, is proposed. This paper shows how theoretical model components can be mapped back to behaviors typified by individuals with EDs, or those predisposed to developing EDs. Subsequently, we propose a training intervention to highlight salient literacy cues, and outline next steps for testing and developing this model with the ongoing support of a community advisory board (CAB). Creating a CAB with individuals who have lived experience of an ED or disordered eating, and who use social media, will be vital to testing the applicability of this conceptual Social Media Wellness Model for ED recovery.
{"title":"Leveraging Health Behavior and Communication Theories to Support Adolescent and Young Adults: Conceptualizing Social Media Wellness in Relation to Disordered Eating","authors":"E. Claydon, K. Zullig, Mary M. Step","doi":"10.4148/2572-1836.1103","DOIUrl":"https://doi.org/10.4148/2572-1836.1103","url":null,"abstract":"Social media platforms like Instagram serve as an important mechanism for transmitting social information and influence. However, the nature and use of these platforms are known to perpetuate eating disorders (EDs) or further disorder eating symptoms. This concept paper proposes merging health behavior and communication theory to create a comprehensive and applicable framework for remediating pro-eating disorder social media content among people who have eating disorders. To this end, the Social Media Wellness Model, which is adapted from the Health Belief Model, the Uses and Gratifications approach, the MAIN model of media affordances, and media literacy training, is proposed. This paper shows how theoretical model components can be mapped back to behaviors typified by individuals with EDs, or those predisposed to developing EDs. Subsequently, we propose a training intervention to highlight salient literacy cues, and outline next steps for testing and developing this model with the ongoing support of a community advisory board (CAB). Creating a CAB with individuals who have lived experience of an ED or disordered eating, and who use social media, will be vital to testing the applicability of this conceptual Social Media Wellness Model for ED recovery.","PeriodicalId":73205,"journal":{"name":"Health behavior research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44277170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Social media content is one of the most visible sources of big data and is often used in health studies to draw inferences about various behaviors. Though much can be gleaned from social media data and mining, the approaches used to collect and analyze data are generally strengthened when examined through established theoretical frameworks. Health behavior, a theory driven field, encourages interdisciplinary collaboration across fields and theories to help us draw robust conclusions about phenomena. This pilot study uses a combined computer informatics and SNA approach to analyze information spread about mask-wearing as a personal mitigation effort during the COVID-19 pandemic. We analyzed one week’s worth of Twitter data (n = 10,107 tweets across 4,289 users) by using at least one of four popular mask-support hashtags (e.g., #maskup). We calculated network-measures to assess structures and patterns present within the Twitter network, and used exponential random graph modeling (ERGM) to test factors related to the presence of retweets between users. The pro-mask Twitter network was largely fragmented, with a select few nodes occupying the most influential positions in the network. Verified accounts, accounts with more followers, and those who generated more tweets were more likely to be retweeted. Contrarily, verified accounts and those with more followers were less likely to retweet others. SNA revealed patterns and structures theoretically important to how information spreads across Twitter. We demonstrated the utility of an interdisciplinary collaboration between computer informatics and SNA to draw conclusions from social media data.
{"title":"The importance of interdisciplinary frameworks in social media mining: An exploratory approach between Computational Informatics and Social Network Analysis (SNA)","authors":"Danny Valdez, Meg Patterson, Tyler Prochnow MEd","doi":"10.4148/2572-1836.1098","DOIUrl":"https://doi.org/10.4148/2572-1836.1098","url":null,"abstract":"Social media content is one of the most visible sources of big data and is often used in health studies to draw inferences about various behaviors. Though much can be gleaned from social media data and mining, the approaches used to collect and analyze data are generally strengthened when examined through established theoretical frameworks. Health behavior, a theory driven field, encourages interdisciplinary collaboration across fields and theories to help us draw robust conclusions about phenomena. This pilot study uses a combined computer informatics and SNA approach to analyze information spread about mask-wearing as a personal mitigation effort during the COVID-19 pandemic. We analyzed one week’s worth of Twitter data (n = 10,107 tweets across 4,289 users) by using at least one of four popular mask-support hashtags (e.g., #maskup). We calculated network-measures to assess structures and patterns present within the Twitter network, and used exponential random graph modeling (ERGM) to test factors related to the presence of retweets between users. The pro-mask Twitter network was largely fragmented, with a select few nodes occupying the most influential positions in the network. Verified accounts, accounts with more followers, and those who generated more tweets were more likely to be retweeted. Contrarily, verified accounts and those with more followers were less likely to retweet others. SNA revealed patterns and structures theoretically important to how information spreads across Twitter. We demonstrated the utility of an interdisciplinary collaboration between computer informatics and SNA to draw conclusions from social media data.","PeriodicalId":73205,"journal":{"name":"Health behavior research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47291828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yexinyu Yang, K. Krupsky, Sarah Keim, R. McAdams, Kristin Roberts, Lara B McKenzie
Abstract Breastfeeding benefits infants, but support is often needed to meet breastfeeding goals. Social media may help disseminate infant feeding information to caregivers. The relationship between parents’ health information-seeking behaviors (HISB) on social media and infant feeding practices remains understudied. Based on social cognitive theory (SCT), parents’ self-efficacy and outcome expectations are two potential factors for improving online HISB. We aimed to use SCT to describe associations between outcome expectations, self-efficacy (eHealth literacy), and online HISB across infant feeding groups among a nationally representative sample of U.S. parents. Eligible participants (N = 580) completed a cross-sectional online survey assessing infant feeding practices (never breastfed, only pumped, only fed-at-the-breast, and both pumped and fed-at-the-breast), self-efficacy (using eHealth literacy as a proxy), outcome expectations in online HISB, parents’ online HISB on social media, and demographic information. Survey weighted linear and logistic regression models were constructed. No online activities differed by infant feeding practices. Parents who pumped only had significantly lower eHealth literacy than parents who never breastfed (adjusted β = -2.63, 95% CI: -4.73, -0.53). Parents who used both methods had 1.78 times greater odds of considering online tools useful for making health-related decisions (95% CI: 0.96, 3.28) and 1.49 times greater odds of considering online tools important for accessing health information (95% Cl: 0.70, 3.15) than parents who never breastfed, though neither association was statistically significant. Understanding these associations between infant feeding practices and online HISB, as well as the two potential factors of parents’ self-efficacy and outcome expectations, may offer implications for tailoring online social media resources to promote breastfeeding outcomes. Abstract Breastfeeding benefits infants, but support is often needed to meet breastfeeding goals. Social media may help disseminate infant feeding information to caregivers. The relationship between parents’ health information-seeking behaviors (HISB) on social media and infant feeding practices remains understudied. Based on social cognitive theory (SCT), parents’ self-efficacy and outcome expectations are two potential factors for improving online HISB. We aimed to use SCT to describe associations between outcome expectations, self-efficacy (eHealth literacy), and online HISB across infant feeding groups among a nationally representative sample of U.S. parents. Eligible participants ( N = 580) completed a cross-sectional online survey assessing infant feeding practices (never breastfed, only pumped, only fed-at-the-breast, and both pumped and fed-at-the-breast), self-efficacy (using eHealth literacy as a proxy), outcome expectations in online HISB, parents’ online HISB on social media, and demographic information. Survey weighted linear and l
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