Dataset Information

YouTube Video Comments on Healthy Eating: Descriptive and Predictive Analysis.

ABSTRACT: BACKGROUND:Poor nutrition and food selection lead to health issues such as obesity, cardiovascular disease, diabetes, and cancer. This study of YouTube comments aims to uncover patterns of food choices and the factors driving them, in addition to exploring the sentiments of healthy eating in networked communities. OBJECTIVE:The objectives of the study are to explore the determinants, motives, and barriers to healthy eating behaviors in online communities and provide insight into YouTube video commenters' perceptions and sentiments of healthy eating through text mining techniques. METHODS:This paper applied text mining techniques to identify and categorize meaningful healthy eating determinants. These determinants were then incorporated into hypothetically defined constructs that reflect their thematic and sentimental nature in order to test our proposed model using a variance-based structural equation modeling procedure. RESULTS:With a dataset of 4654 comments extracted from YouTube videos in the context of Malaysia, we apply a text mining method to analyze the perceptions and behavior of healthy eating. There were 10 clusters identified with regard to food ingredients, food price, food choice, food portion, well-being, cooking, and culture in the concept of healthy eating. The structural equation modeling results show that clusters are positively associated with healthy eating with all P values less than .001, indicating a statistical significance of the study results. People hold complex and multifaceted beliefs about healthy eating in the context of YouTube videos. Fruits and vegetables are the epitome of healthy foods. Despite having a favorable perception of healthy eating, people may not purchase commonly recognized healthy food if it has a premium price. People associate healthy eating with weight concerns. Food taste, variety, and availability are identified as reasons why Malaysians cannot act on eating healthily. CONCLUSIONS:This study offers significant value to the existing literature of health-related studies by investigating the rich and diverse social media data gleaned from YouTube. This research integrated text mining analytics with predictive modeling techniques to identify thematic constructs and analyze the sentiments of healthy eating.

SUBMITTER: Teng S

PROVIDER: S-EPMC7563625 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

YouTube Video Comments on Healthy Eating: Descriptive and Predictive Analysis.

Teng Shasha S Khong Kok Wei KW Pahlevan Sharif Saeed S Ahmed Amr A

JMIR public health and surveillance 20201001 4

<h4>Background</h4>Poor nutrition and food selection lead to health issues such as obesity, cardiovascular disease, diabetes, and cancer. This study of YouTube comments aims to uncover patterns of food choices and the factors driving them, in addition to exploring the sentiments of healthy eating in networked communities.<h4>Objective</h4>The objectives of the study are to explore the determinants, motives, and barriers to healthy eating behaviors in online communities and provide insight into Y ...[more]

PMID: 33001036

Similar Datasets

Project description:BACKGROUND:Despite the availability of high-quality evidence and clinical practice guidelines for the effective management of pediatric pain, this evidence is rarely used in practice for managing children's pain from needle procedures such as vaccinations. Parents are generally unaware of pain management strategies they can use with their children. OBJECTIVE:This study aimed to develop, implement, and evaluate the implementation effectiveness of a parent-directed YouTube video on evidence-based strategies to manage needle pain in children. METHODS:This was a descriptive study. Analytics were extracted from YouTube to describe video reach. A Web-based survey was used to seek parent and health care professional (HCP) feedback about the video. The 2-minute 18-second video was launched on YouTube on November 4, 2013. In the video, a 4-year-old girl tells parents what they should and should not do to help needles hurt less. The key evidence-based messages shared in the video were distraction, deep breathing, and topical anesthetic creams. A group of parents (n=163) and HCPs (n=278) completed the Web-based survey. Measures of reach included number of unique views, country where the video was viewed, sex of the viewer, and length of watch time. The Web-based survey assessed implementation outcomes of the video, such as acceptability, appropriateness, penetration, and adoption. RESULTS:As of November 4, 2018 (5 years after launch), the video had 237,132 unique views from 182 countries, with most viewers watching an average of 55.1% (76/138 seconds) of the video. Overall, both parents and HCPs reported strong acceptance of the video (ie, they liked the video, found it helpful, and felt more confident) and reported significant improvements in plans to use distraction, deep breathing, and topical anesthetic creams. CONCLUSIONS:This parent-directed YouTube video was an acceptable and appropriate way to disseminate evidence about the procedure of pain management to a large number of parents.

Project description:BackgroundBlogs are widely being used by health professionals and consumers to communicate and access nutrition information. There are numerous benefits for dietitians to establish and contribute to healthy eating blogs. In particular, to disseminate evidence-based nutrition information to promote healthier dietary practices. The aim of this study was to explore characteristics of popular healthy eating blogs and inform the provision of healthy eating information in the Australian context.MethodsA content analysis approach was used to identify characteristics of popular Australian healthy eating blogs. A purposive and snowball sampling approach was used to identify healthy eating blogs from search engines including Google, Bing and Yahoo. Blogs were deemed eligible if: (1) the author self-identified as a health professional; (2) the blog was written by a single author; (3) the blog was written by an Australian author; (4) the blog had a minimum of one post per month, and (5) the blog focused on communicating healthy eating information to the general adult population.ResultsFive popular blogs were followed over a three-month period (December 2017-March 2018), with 76 blog posts included for analysis. Characteristics of these popular blogs were examined and four main features were identified: (i) clearly conveying the purpose of each post; (ii) developing a strong understanding of the reader base and their preferences; (iii) employing a consistent writing style; use of vocabulary and layout; and (iv) communicating healthy eating information in a practical manner. These findings reveal important insight into the features that promote effective nutrition communication within this context.ConclusionFindings from this study highlight common characteristics of popular healthy eating blogs. Future research into the development of blog guidelines which incorporate the characteristics identified in this study can support dietitians in establishing or contributing to the successful provision of evidence-based nutritional information through blogs.

Project description:PurposeReddit is a social media platform that allows health care professionals (HPs) to anonymously interact with patients. We analyzed content about radiation therapy (RT) on Reddit.Methods and materialsReddit.com/r/cancer was queried with 20 search terms related to RT: IMRT, 3D-CRT, SBRT, EBRT, XRT, radiation, radiotherapy, RT, radio, rad, rads, gamma, gamma knife, gammaknife, cyber knife, cyberknife, cyber, brachytherapy, brachy, and cobalt. The search aimed to identify all posts discussing RT. A random sample of posts and their top 3 comments was selected to generate qualitative thematic codes per author consensus, which were used to characterize all posts and their top 3 voted comments. Posts were analyzed for time to first reply, mention of any specific RT modality, whether a self-identified HP responded, and time to first highly voted comment by an HP.ResultsExactly 190 posts about RT by 178 users were shared from February 2011 to May 2018, and 468 replies by 295 users were also analyzed. Twenty-nine of these users (9.8%) were HPs; however, 48 of 181 top comments were contributed by HPs compared with 45 of 288 non-top comments by HPs (odds ratio, 1.95; 95% confidence interval [CI], 1.23-3.08; P < .004). The most common themes were treatment questions, chronology, and information; toxicities; and social support. The median time to first comment after posting was 64.0 minutes (95% CI, 53.0-82.0), and median time to first highly voted comment from an HP was 264.0 minutes (95% CI, 153.5-427.9; U = 4123.5; P < .0001 2-tailed). Fifty-three posts (27.9%) identified a specific RT modality, with proton therapy (7.4%), CyberKnife (5.3%), brachytherapy (4.2%), and whole brain radiation (4.2%) being the most common.ConclusionsHPs did not reply often to RT posts and generally took longer to do so, but their replies were valued by users. Common themes included treatment questions, chronology, and treatment; toxicities; and social support. Proton therapy received notable attention.

Project description:BACKGROUND:Childhood obesity has risen dramatically in recent decades, reaching epidemic levels. Children need guidance on and support for maintaining a healthy diet and physical activity to ensure that they grow appropriately and develop healthy eating habits. Serious video games have shown positive effects on promoting the nutritional knowledge, and eating attitudes and behaviors of children; however, research about the usefulness of such games with younger children (8-10 years old) is sparse. OBJECTIVE:The objective of this study was to design and test the serious video game FoodRateMaster targeting children between 8 and 10 years old. The game includes nutritional information and behavior change techniques to help children improve their knowledge of healthy and unhealthy foods, increase their intake of healthy food, and reduce their intake of ultraprocessed food. In addition, FoodRateMaster was designed as an active game to promote physical activity. METHODS:An interdisciplinary team developed FoodRateMaster following an iterative methodology based on a user-centered design. A total of 60 participants (mean age 9 years, SD 0.8; 53% male) completed 12 individual gaming sessions in 6 weeks. A food knowledge questionnaire and a food frequency questionnaire were completed before and after game play. In addition, 39 of the participants' parents answered a parent perception questionnaire after the game play. RESULTS:Participants showed increased food knowledge from pregame (mean 56.9, SD 10.7) to postgame play (mean 67.8, SD 10.7; P<.001). In addition, there was a greater self-reported frequency in the consumption of cauliflower and broccoli (P<.001) and corn quesadillas (P<.001). They also indicated a lower self-reported intake of 10 unhealthy foods, including french fries (P=.003), candy and chocolate (P<.001), sweet soft cakes (P=.009), and soft drinks (P=.03). Moreover, most of the parents who answered the parent perception questionnaire agreed that their children showed greater interest in explaining why they should avoid some unhealthy foods (67%, 26/39), in distinguishing between healthy and unhealthy foods (64%, 25/39), and in the intake of fruits (64%, 25/39) and vegetables (59%, 23/39). Finally, 14 parents stated that they introduced some changes in their children's diet based on the comments and suggestions they received from their children. CONCLUSIONS:In an initial evaluation, children between 8 and 10 years old indicated an increased level in nutritional knowledge and their self-reported frequency intake of two healthy foods, and a decreased level in their self-reported intake of 10 unhealthy foods after playing FoodRateMaster. Moreover, the participants' parents agreed that FoodRateMaster positively influenced their children's attitudes toward several healthy eating behaviors. These results support that health games such as FoodRateMaster are viable tools to help young children increase their food knowledge and improve dietary behaviors. A follow-up randomized controlled trial will be conducted to assess the medium- and long-term effects of FoodRateMaster.

Dataset Information

YouTube Video Comments on Healthy Eating: Descriptive and Predictive Analysis.

Publications

YouTube Video Comments on Healthy Eating: Descriptive and Predictive Analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets