Social media captures demographic and regional physical activity

Cesare, Nina; Nguyen, Quynh C.; Grant, Christan; Nsoesie, Elaine O.

doi:10.1136/bmjsem-2019-000567

Cited by 24 publications

(19 citation statements)

References 51 publications

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“…We observe several similarities between the data for males and females. However, major disparities such as, differences in the mention of high intensity physical activities (Cesare et al, 2019) agrees with data suggesting that women are less likely to meet physical activity recommendations compared to men (Centers for Disease Control and Prevention, 2018b). Furthermore, women report foods with higher calories and have an overall higher obesity prevalence Flegal et al, 2016;Tauqeer et al, 2018).…”

Section: Discussionsupporting

confidence: 75%

“…Timely surveillance of changes in physical activity prevalence and dietary habits would be valuable for understanding the association between these factors and obesity prevalence in communities. One approach to surveillance is the use of data from digital sources, which are useful for estimating various health quantities by monitoring the seeking and sharing of health information, as well as changes in behaviors, sentiments or norms (Cesare et al, 2019;Olson et al, 2013;Yuan et al, 2013;Nsoesie et al, 2014;Nsoesie et al, 2015;Nguyen et al, 2016;Nguyen et al, 2017). Specifically, data from Twitter-a social media platformhave been shown to provide insights into trends and disparities in health behaviors including, diet and physical activity (Griffin and Jiao, 2015;Jestico et al, 2016;Nguyen et al, 2017;Cesare et al, 2019;Torres et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Use of social media, search queries, and demographic data to assess obesity prevalence in the United States

et al. 2019

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Obesity is a global epidemic affecting millions. Implementation of interventions to curb obesity rates requires timely surveillance. In this study, we estimated sex-specific obesity prevalence using social media, search queries, demographics and built environment variables. We collected 3,817,125 and 1,382,284 geolocated tweets on food and exercise respectively, from Twitter's streaming API from April 2015 to March 2016. We also obtained searches related to physical activity and diet from Google Search Trends for the same time period. Next, we inferred the gender of Twitter users using machine learning methods and applied mixed-effects state-level linear regression models to estimate obesity prevalence. We observed differences in discussions of physical activity and foods, with males reporting higher intensity physical activities and lower caloric foods across 40 and 48 states, respectively. In addition, counties with the highest percentage of exercise and food tweets had lower male and female obesity prevalence. Lastly, our models separately captured overall male and female spatial trends in obesity prevalence. The average correlation between actual and estimated obesity prevalence was 0.797(95% CI, 0.796, 0.798) and 0.830 (95% CI, 0.830, 0.831) for males and females, respectively. Social media can provide timely community-level data on health information seeking and changes in behaviors, sentiments and norms. Social media data can also be combined with other data types such as, demographics, built environment variables, diet and physical activity indicators from other digital sources (e.g., mobile applications and wearables) to monitor health behaviors at different geographic scales, and to supplement delayed estimates from traditional surveillance systems.

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Section: Discussionsupporting

confidence: 75%

Section: Introductionmentioning

confidence: 99%

Use of social media, search queries, and demographic data to assess obesity prevalence in the United States

et al. 2019

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“…In the current era, learning with digital media is no longer prohibited, even now, during the corona pandemic around the world, learning that was initially face-to-face was replaced with learning using digital media (Cesare et al, 2019). Students of 4 th and 5 th elementary school grade will be very happy if they hold gadget, now this should not be misused just for playing games or using social media, but actually it will be more useful when children are directed to use gadget to help in the learning they are going through.…”

Section: Discussionmentioning

confidence: 99%

The Relations of Using Digital Media and Physical Activity with the Physical Fitness of 4th and 5th Grade Primary School Students

Listyarini

Alim

Oktaviani

et al. 2021

Teor. metod. fiz. vihov.

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The study purpose was to determine the relations of using digital media and physical activity with the physical fitness of 4th and 5th grade students of the state of Ngablak Elementary School in the academic year 2019/2020, Turi, Sleman Regency both individually and wholly. Materials and methods. This research is a correlative study, which aims to find out whether there is a relationship between independent variables and dependent variables. The population of this study was 49 students from 4th and 5th grade of the state of Ngablak Elementary School in the academic year 2019/2020, Turi, Sleman. All of them were used as research subjects. The data collection technique is surveys. The surveys are done by applying collection techniques using surveys, tests and measurements. The instrument used in this study was a questionnaire both for digital media variables and physical activities, as well as the physical fitness test for Indonesian physical fitness variables. Data analysis techniques are regression and correlation analysis, both in simple way and double way through the prerequisite tests for normality and linearity. Results. The results showed that at the level of 5% error means the correlation between the use of digital media and physical activity and the physical fitness of students in 4th and 5th grade of the state of Ngablak Elementary School in 2019/2020 academic year Turi, Sleman Regency, it was Fcount = 11.072 > Ftable = 3.20. Conclusions. Since Fcount > Ftable, it can be concluded there is a significant relation between the use of digital media and physical activity and physical fitness.

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“…Zhang et al (2019) indicated that geographical proximity was the more closely related to differences of regional dish preference than climate proximity. For other scenarios, Cesare et al (2019) analysed data from social media to demonstrate sex and regional variations in preferred exercises, and got significant gender and regional differences. Barone and Assirelli (2019) proved gender inequalities in the labour market.…”

Section: Related Workmentioning

confidence: 99%

Multidimensional mining of public opinion in emergency events

Zhou

Jing

2020

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Purpose The suddenness, urgency and social publicity of emergency events lead to great impacts on public life. The deep analysis of emergency events can provide detailed and comprehensive information for the public to get trends of events timely. With the development of social media, users prefer to express opinions on emergency events online. Thus, massive public opinion information of emergencies has been generated. Hence, this paper aims to conduct multidimensional mining on emergency events based on user-generated contents, so as to obtain finer-grained results. Design/methodology/approach This paper conducted public opinion analysis via fine-grained mining. Specifically, public opinion about an emergency event was collected as experimental data. Secondly, opinion mining was conducted to get users’ opinion polarities. Meanwhile, users’ information was analysed to identify impacts of users’ characteristics on public opinion. Findings The experimental results indicate that public opinion is mainly negative in emergencies. Meanwhile, users in developed regions are more active in expressing opinions. In addition, male users, especially male users with high influence, are more rational in public opinion expression. Originality/value To the best of the authors’ knowledge, this is the first research to identify public opinion in emergency events from multiple dimensions, which can get in-detail differences of users’ online expression.

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Social media captures demographic and regional physical activity

Cited by 24 publications

References 51 publications

Use of social media, search queries, and demographic data to assess obesity prevalence in the United States

Use of social media, search queries, and demographic data to assess obesity prevalence in the United States

The Relations of Using Digital Media and Physical Activity with the Physical Fitness of 4th and 5th Grade Primary School Students

Multidimensional mining of public opinion in emergency events

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