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'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake
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YouTube Video Comments on Healthy Eating: Descriptive and Predictive Analysis.

Shasha Teng1, Kok Wei Khong1, Saeed Pahlevan Sharif1

  • 1Faculty of Business and Law, Taylor's University, Subang Jaya, Malaysia.

JMIR Public Health and Surveillance
|October 1, 2020
PubMed
Summary
This summary is machine-generated.

Analyzing YouTube comments reveals that while people value healthy eating, factors like cost, taste, and availability influence their food choices. Understanding these perceptions is key to promoting better nutrition.

Keywords:
YouTube commentsclusteringhealthy eatingstructural equation modelingtext mining

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Area of Science:

  • Social Science
  • Health Communication
  • Computational Linguistics

Background:

  • Poor nutrition and food choices contribute to significant health issues like obesity, cardiovascular disease, diabetes, and cancer.
  • Online communities, particularly YouTube, offer a rich source of data for understanding public perceptions of healthy eating.
  • This study investigates food choices and sentiments related to healthy eating within networked communities using YouTube comments.

Purpose of the Study:

  • To explore the determinants, motives, and barriers influencing healthy eating behaviors in online communities.
  • To gain insight into YouTube video commenters' perceptions and sentiments regarding healthy eating.
  • To apply text mining techniques for analyzing healthy eating discourse.

Main Methods:

  • Applied text mining techniques to a dataset of 4654 YouTube comments from Malaysia.
  • Identified and categorized determinants of healthy eating, including food ingredients, price, choice, portion, well-being, cooking, and culture.
  • Utilized variance-based structural equation modeling to test a proposed model of healthy eating perceptions.

Main Results:

  • Ten distinct clusters related to healthy eating were identified.
  • All identified clusters showed a statistically significant positive association with healthy eating (P < .001).
  • Complex beliefs about healthy eating were observed; cost, taste, variety, and availability were identified as barriers to healthy food choices.

Conclusions:

  • Social media data from YouTube provides valuable insights into health-related studies.
  • Integrated text mining and predictive modeling to analyze healthy eating sentiments and thematic constructs.
  • Findings highlight the multifaceted nature of healthy eating perceptions and behaviors in online environments.