Published on in Vol 4, No 1 (2015): Jan-Mar

Information Seeking in Social Media: A Review of YouTube for Sedentary Behavior Content

Information Seeking in Social Media: A Review of YouTube for Sedentary Behavior Content

Information Seeking in Social Media: A Review of YouTube for Sedentary Behavior Content


1University of Western Ontario, Health and Rehabilitation Sciences, London, ON, Canada

2Wilfrid Laurier University, Waterloo, ON, Canada

3University of Western Ontario, Kinesiology, London, ON, Canada

4University of Prince Edward Island, Faculty of Science, Charlottetown, PE, Canada

*all authors contributed equally

Corresponding Author:

Emily Knight, BSc

University of Western Ontario

Health and Rehabilitation Sciences

1201 Western Road

London, ON, N6G 1H1


Phone: 1 519 685 4292

Fax:1 519 685 4071


Background: The global prevalence of sedentary lifestyles is of grave concern for public health around the world. Moreover, the health risk of sedentary behaviors is of growing interest for researchers, clinicians, and the general public as evidence demonstrates that prolonged amounts of sedentary time increases risk for lifestyle-related diseases. There is a growing trend in the literature that reports how social media can facilitate knowledge sharing and collaboration. Social sites like YouTube facilitate the sharing of media content between users.

Objective: The purpose of this project was to identify sedentary behavior content on YouTube and describe features of this content that may impact the effectiveness of YouTube for knowledge translation.

Methods: YouTube was searched on a single day by 3 independent reviewers for evidence-based sedentary behavior content. Subjective data (eg, video purpose, source, and activity type portrayed) and objective data (eg, number of views, comments, shares, and length of the video) were collected from video.

Results: In total, 106 videos met inclusion criteria. Videos were uploaded from 13 countries around the globe (ie, Australia, Barbados, Belgium, Canada, Colombia, Kenya, New Zealand, Russia, South Africa, Spain, Ukraine, United Kingdom, United States). The median video length was 3:00 minutes: interquartile range (IQR) 1:44-5:40. On average, videos had been on YouTube for 15.0 months (IQR 6.0-27.5) and had been viewed 239.0 times (IQR 44.5-917.5). Videos had remarkably low numbers of shares (median 0) and comments (median 1). Only 37.7% (40/106) of videos portrayed content on sedentary behaviors, while the remaining 66 videos portrayed physical activity or a mix of behaviors. Academic/health organizations (39.6%, 42/106) and individuals (38.7%, 41/106) were the most prevalent source of videos, and most videos (67.0%, 71/106) aimed to educate viewers about the topic.

Conclusions: This study explored sedentary behavior content available on YouTube. Findings demonstrate that there is confusion between physical activity and sedentary behaviors, that content is being uploaded to the site from around the globe, that content is primarily from health organizations and individuals with the purpose of educating fellow users, but that low views, comments, and shares suggest that sedentary behavior content is relatively underutilized on YouTube. Future research may wish to leverage social platforms, such as YouTube, to facilitate implementation and sharing of evidence-based sedentary behavior content.

Interact J Med Res 2015;4(1):e3



Sedentary Behavior

Since the 1950s, researchers have understood the importance of physical activity in promoting health [1]. An active lifestyle is now understood to reduce both the morbidity and mortality of a wide range of chronic diseases ranging from cancer to cardiovascular disease [2]. Insufficient levels of physical activity are responsible for 6% of global mortality and are the fourth leading cause of death around the world [3].

While the health importance of physical activity is well established, recent evidence suggests that sedentary behavior (eg, activities done while sitting) [4] also plays an important role in the development of chronic disease. For example, sedentary behaviors are associated with adverse health effects, including undesirable changes in cardiometabolic markers, vascular, bone, and psychosocial health independent of exercise [5-8]. This is important, given that it is possible to accumulate high amounts of both sedentary and exercise behaviors during a single day [6,7,9-11]. Further, the proportion of time spent in sedentary behavior dwarfs that spent in physical activity. For example, Canadian adults spend roughly 70% of their waking hours engaging in sedentary behavior, while just 3% engaged in moderate or vigorous physical activity [12]. Not surprisingly, recent studies have estimated that sedentary behavior may reduce the life expectancy of Western nations by 1-2 years [13,14]. Given these important differences, researchers have recently argued that sedentary behavior should be viewed as an independent and distinct construct, rather than simply the lack of physical activity [4]. Further, it has been shown that sedentary behavior and physical activity have independent and distinct relationships with health.

Knowledge Translation

The knowledge-to-action framework from Graham et al [15] highlights the multifaceted nature of knowledge creation and implementation. Knowledge about the health effects of prolonged sedentary behaviors has been generated (ie, the knowledge creation cycle). However, a gap exists in understanding how this information is being implemented to impact the health of lay users (ie, the knowledge utilization cycle).

In North America, the Internet is a primary source of health information, with more than half of users seeking health information online [16-18]. Previous evidence has reported that over half of American and European citizens have used the Internet to seek health-related information [19]. Online mediums may help to bridge the research to action gap by allowing evidence-based information to freely reach the homes of a broad spectrum of users. There is a growing trend in the literature reporting how social media can facilitate knowledge sharing and collaboration [20].


YouTube is among the top three most popular websites visited around the world, with more than 4 billion videos being watched by users daily [21,22]. The primary concept of social media sites like YouTube is the sharing of media content between users [23]. Videos allow for the sharing of complex ideas in a simple format [22]. The Health Care Social Media List form the Mayo Clinic identifies over 700 health-related associations in the United States that have established a presence on YouTube [24]. A strength of the social media format for knowledge translation is its capacity for timely updates, in contrast to the slow uptake and evolution of information shared through traditional peer-reviewed formats [19]. However, there is a lack of regulation on the content available through YouTube. Previous research has reported that misleading information posted through videos on YouTube could endanger viewers [22].


There is a growing body of evidence exploring health content available through YouTube. Research has identified that health-related videos posted to YouTube may contain erroneous and potentially harmful health information [20,22,25]. As knowledge about the health risk of sedentary behavior transitions from research to practice, there is value in understanding if the information available on YouTube is evidence-based. Therefore, the purpose of this project was to identify sedentary behavior content on YouTube and describe features of this content that may impact the effectiveness of YouTube for knowledge translation, such as evidence-informed messages and description of video characteristics. Understanding what information is currently available may help researchers tailor their messages to promote more effective knowledge translation and uptake.

Search Strategy

YouTube was searched on a single day (May 25, 2014) by 3 independent reviewers (EK, BI, AM). Computers were set to “incognito”/“worldwide” to limit any filtering by the site to previous user data and to help ensure that search results would not be limited to local country of searching but instead include videos from around the globe.

Similar to the methods of Williams et al [26], Google AdWords [27] was used to search keyword phrases frequently used by the public when searching Google in relation to “sedentary behavior” to develop a list of popular phrases for the topic that could be searched on YouTube. Subsequently, three keyword searches of YouTube were conducted (“sedentary behaviour”, “sedentary behavior”, and “sedentary lifestyle”) as well as a category search of the YouTube-generated “sedentary lifestyle” topic channel. Currently, YouTube algorithms create topic channels based on volume of content on the site, in the present case linked to the keyword phrase “sedentary lifestyle”. The channel’s main page presents three popular videos sorted by relevance to the topic channel for six subcategories: (1) popular sedentary lifestyle videos, (2) popular sedentary lifestyle and health videos, (3) popular sedentary lifestyle and physical exercise videos, (4) popular sedentary lifestyle and obesity videos, (5) popular sedentary lifestyle & lifestyle videos, and (6) popular sedentary lifestyle and childhood obesity videos.

For each of the four searches (three keyword, one topic channel), results were sorted by both relevance and views using the YouTube search features, and the first two result pages (approximately 40 videos) were assessed. The goal of the search process was to identify YouTube content that users are accessing the most. Searching was limited to the initial two pages of results based on the following a priori criteria: (1) saturation of the topic becomes evident in most cases by the end of the second page at which point search results are obviously not related to the search phrase, and unlike the searching process employed in systematic reviews, (2) typical YouTube users may be less likely to continue scanning results past the initial two pages of results, especially when videos appear not to be linked to the search phrase. Videos were excluded if they were not available in English or portrayed content obviously not related to the search (eg, music videos, product advertisements). Additionally, individual users’ channels that were generated in the search results were not reviewed, as they contained multiple videos posted by the user with varying relation to the desired search content.

Data Management and Analysis

Video data were coded into an electronic spreadsheet and analyzed in June 2014. For each video, we collected both objective data (video title, URL, number of views, number of shares, the length of the video, number of comments posted by YouTube users, descriptive text and keywords that the user who uploaded the video included, and the YouTube category used to classify the video) and subjective data (the purpose and source of the video, and the type of activity content included in the video). Textbox 1 defines coding themes used for subjective data. To ensure consistency in coding, a representative video from each search was coded collaboratively until consensus was reached.

Descriptive statistics were performed to understand the context of evidence available on YouTube. Specifically, there was interest in understanding if the information available on YouTube represents best evidence for sedentary behavior, if users are seeking information on sedentary behavior through this medium, and describing video content in terms of who is producing the video to help inform future initiatives for leveraging YouTube as a knowledge translation vehicle. To explore the descriptive statistics by popularity of content on the YouTube site, interquartile range of view counts were used to group videos based on number of views. Pearson correlation coefficient (r) was calculated to explore the relationship between views, keyword search, video length, video source, and activity classification. Statistical significance was set at P<.05.

Definition of coding themes for subjective data extraction.

Video Source

  • Media: Video presented by an identified news/media source
  • Individual: Video presented by an individual
  • Academic/Health Organization: Video presented by an academic conference, research group, or medical organization
  • Consumer: Video endorsing and/or promoting sale of a product/service

Video Purpose

  • Educate: Video informs/teaches about the topic, which includes evidence-based information
  • Opinion: Video portraying an individual’s or organization’s perspective on the topic
  • Academic Presentation: Video of a presentation to academic audiences (eg, conference proceedings)
  • Commercial: Video promoting a company’s or individual’s product(s)

Activity Classification

  • Physical Activity: Video portraying information on physical activity and the health benefits and/or public health recommendations for this activity
  • Sedentary Behavior: Video portraying information on the behavior and/or health outcomes of activities in a sitting or reclining posture
  • Mixed: Video incorporating information of both physical activity as well as activities in sitting/reclining postures
Textbox 1. Definition of coding themes for subjective data extraction.

Figure 1 shows the search results. The initial search yielded 232 videos. After removing ineligible and duplicate results, data were analyzed from 106 videos. Table 1 summarizes the included videos. The location of the uploader was not discernable via the YouTube site. Therefore, an independent online database (YouTube Stats [28]) was used to search the country of origin for videos. It should be noted that the database provides only a source of origin for videos with >4 subscribers; therefore, it did not provide a complete source for origin of all videos in this sample (Table 2). Figure 2 shows the distribution of videos around the globe and demonstrates a substantial representation of content from North America.

Table 1. Video results.
Result No.URLTitleMonths on YouTubeLength (min)Views
1 Minute Basic Workout for the Sedentary Individual193:40495
2 Sedentary Lifestyle and How To Improve Cardiovascular Endurance with Exercise616:3913,100
3 Osteoporosis Sedentary Lifestyle101:3019
4 JustStand Wellness Summit; Dr David Dunstan, Baker IDI Heart and Diabetes Institute959:4167
5 Physical Activity Forum - Get Up, Stand Up01:03:0312
6 Weight Loss Tips for a Sedentary Lifestyle233:1665
7 Idle: Sedentary Time and Health13:280
8\'s Walking | A Call to Action | A Sedentary Lifestyle508:54913
9 Introduction to Active vs. Sedentary Lifestyles as it Relates to Chronic Disease.wmv502:053822
10 you Active or Sedentary? How can you become more Active for FREE? Easy tips Lisa in Marbella24:3054
11 Sedentary Lifestyle26:4014
12 Pain & Sedentary Life Style194:58258
13 Sedentary Behavior at Prince of Wales school111:39150
14 of a Standing Desk on your Feet Australia Campaign35:2590
15 Spring: Can we Design our Way out of the Obesity Epidemic?3142:39132
16 at Work90:47101
17 the Sedentary Lifestyle102:5217
18 in Sedentary Time are Associated with Reduced Health Risk in Children.54:18128
19 Abilities: A Vision of a Healthier Lifestyle463:081079
20 & Sedentary Behavior66:4953
21 Teacher Challenges for Managing PA: Reduce Sedentary Behavior with Strctu211:21922
22 a Sedentary Lifestyle - Penn State Hershey121:00517
23 Director Pitch - BSc Hons Physical Activity Exercise and Health02:2344
24 Oliver and Ryan Durden\'s Video Presentation14:4612
25 of a Sedentary Lifestyle128:06461
26 of a Sedentary Lifestyle261:20718
27 Breaking Sedentary behavior111:3632
28 Ways to Increase Physical Activity490:5812,298
29 the Student Body: Taking Physical Activity and Physical Education to School122:4010,810
30 of Physical Activity on Serum Prostate-Specific Antigen Concentrations165:05117
31 2012- Sedentary Behavior, Physical Activity and Incident Coronary Heart Disease267:26366
32 has been Overweight her Whole Life523:422003
33 & Weight Loss - Episode 7 - Summer Tomato Live3643:12:001343
34 training Alters Subcutaneous White Adipose Tissue (scWAT)112:18684
35 Paradigm2143:2556
36 Up Your Sedentary Lifestyle372:37594
37 Norman - Physical Activity and Sedentary Behavior Classification Using Motion Sensor and SM724:1538
38 & Fitness Tips For Truck Drivers Revealed By Twin Drivers41:081434
39 Eating vs. Sedentary Lifestyle - Fabio Viviani124:551201
40 Ken Etics22:061991
41 to Avoid a Sedentary Lifestyle:461:475964
42 to Pronounce Sedentary140:202151
43 Speech-Sedentary Lifestyle-Wilkey137:4230
45 Korea Affected by an Abdominal Obesity and Sedentary Lifestyle Epidemic?150:3745
46 Desks492:23119
47 Rogan on Fresh Food and a Sedentary Lifestyle25:42328
48 Speech - Dr Kong Chen - Be Active 20121850:16147
49 Health Online task Intro.wmv302:2027
50 2, The Benefits of a Healthy Lifestyle302:10741
51 Ageing and Health253:431866
52 for Continued Involvement in Physical Activity224:33348
53 A Heavy Burden41:07:52239
54 Women Spend 2/3rd of Time Sedentary30:3310
55 Activity and Sedentary Jobs364:47406
56 Stuart Biddle - Teaser70:5023
57 Play: Reimagining Youth Sports in America31:14:194459
58 More Physical Activity and Less Sedentary Behaviour in Young People70:27214
59 Sedentary Lifestyle245:35513
60 Kids Less Active02:342
61 Behavior257:2237
62 Behavior and your Health50:5131
63 Behavior in College Students100:5528
64 Behavior in Youth65:1124
65 Behavior- Target for Change, Challenge to Assess2513:171056
66 Behaviour & Health: Is the Chair the Most Important Threat to Health in 21st Century?031:564
67 Behaviour (Get off the couch)142:34233
68 Behaviour Researchers - A Guaranteed Standing Ovation190:10179
69 Behaviour: Not Even Once142:17252
70 Life—Barriers to Physical Activities2623:36644
71 Lifestyle164:1556
72 Lifestyle11:4581
73 lifestyle124:1717
74 Lifestyle - Get Fit or Get Fat362:291451
75 Lifestyle - It\'s Bad!!! This\'s How I solved My Problem of Chronic Sedentary Lifestyle - p12710:39244
76 Lifestyle and Obesity202:203738
77 Lifestyle As Damaging As Smoking, Study Says461:551651
78 Lifestyle Doubles Disability Risk in Seniors, Study Finds31:1937
79 lifestyle p2 -It\'s Bad!!! This\'s How I solved My Problem of Chronic Sedentary Lifestyle284:52127
80 Lifestyle Takes Toll on Health32:0176
81 to Active Lifestyle794:55883
82 Sedentary Lifestyle Be Considered a Medical Condition211:27138
83 Is the New Smoking??32:172577
84 Talks to Heath24213:281643
85 Needs to Change his Sedentary Lifestyle.523:57608
86 Sitting Your Life Away101:421294
87 American Sedentary Lifestyle401:581061
88 Defense81:44:46235
89 Good Health: Battling Chronic Diseases Episode 12912:2933
90 on the Move01:4322
91 Health and Fitness201:052796
92 with Wellness22:0225
93 Get the Word Out151:17535
94 are Leading Sedentary Lives, Says Health Minister42:1616
95 are Risk Factors Associated with Sedentary Lifestyle and Poor Nutritional Habits in Brazil?351:18263
96 can we do to Combat a Sedentary Lifestyle?123:1468
97 Chair Is Killing You - Ernesto Ramirez395:15842
98 Interview on KRON 4 News194:45301
99 Inactivity: The Biggest Public Health Problem of the 21st Century71:07:171542
100 Much TV Bad for Your Health?351:495253
101 Increases Heart Disease Risk | Heart Disease91:22707
102 Says: Physical Inactivity Kills 5 Million a Year227:19108
103 Rutledge Cause of Obesity: Excessive Calories/Lack of Exercise. Calories In and Calorie Out515:51720
104 Sedentary Lifestyle Be Considered a Medical Condition211:27361
105 Relationship Between Physical Activity and Childhood Overweight and Obesity421:5584
106 Potato Toddlers381:09635
Table 2. Location of origin for videos (N=106).
CountryVideos, n (%)
Australia4 (3.7)
Barbados1 (0.9)
Belgium1 (0.9)
Canada12 (11.3)
Colombia1 (0.9)
Kenya1 (0.9)
New Zealand1 (0.9)
Russia1 (0.9)
South Africa1 (0.9)
Spain2 (1.9)
Ukraine1 (0.9)
United Kingdom8 (7.6)
United States44 (41.5)
Not available28 (26.4)
Figure 1. Search results.
View this figure
Figure 2. Global distribution of search results.
View this figure

Video Features

The four search phrases (“sedentary behavior”, “sedentary behaviour”, “sedentary lifestyle”, and YouTube topic channel) and two search methods (sorted by relevance or views) generated 58.5% (62/106) duplicate results. Of the results that were unique to a single search phrase (41.5%, 44/106), “sedentary lifestyle” generated 65.9% (29/44), “sedentary behaviour” generated 20.5% (9/44), and “sedentary behavior” generated 13.6% (6/44).

Table 3 presents the means and interquartile ranges of video views, length, time since uploaded to the YouTube site, and quantity of comments posted by users. There was no relationship between number of views and video length (r=-.10, P>.05), or the search phrase (r=.08, P>.05). Similarly, no relationship was evident between search phrase and the source of the video (r=-.05, P>.05) or the activity type presented in the video (r=-.09, P>.05).

Table 3. Descriptive features of video results (N=106).

Mean (SD)25th percentile50th percentile75th percentile
Views1008.9 (2202)44.5239.0917.5
Video length (minutes)9:01 (16:31)1:443:005:40
Time on YouTube (months)19.2 (17.0)
Comments1.7 (5.7)011
Shares1.2 (3.9)001

Activity Type

Videos that portrayed content on sedentary behaviors alone represented 37.7% (40/106) of the results. Videos that portrayed a combination of sedentary and physical activity behaviors represented 31.1% (33/106) of the sample, and videos that portrayed physical activity behaviors alone similarly comprised 31.1% (33/106) of the sample. Videos with the highest view counts (ie >240 views) portrayed physical activity behavior content, not specifically sedentary behavior content (Figure 3).

Figure 3. Activity type portrayed in videos by interquartile range of views.
View this figure

Source of the Content

Academic/Health Organizations and Individuals were the most common source of content, representing 39.6% (42/106) and 38.7% (41/106) of videos, respectively. News/Media comprised 12.3% (13/106) of the videos, and 9.4% (10/106) of videos were Consumer. The trend was similar across view count ranges (Figure 4).

Figure 4. Source of videos presented by interquartile range of views.
View this figure

Purpose of the Content

The predominant purpose of videos was coded as Educational (71/106, 67.0%). Academic presentations (16/106, 15.1%) and Opinions (14/106, 13.2%) contributed to a smaller portion of the available content. Minimal videos (5/106, 4.7%) were Consumer-based, aiming to sell products or services. Moreover, Educational videos were more dominant across all view count ranges (Figure 5).

Figure 5. Purpose of video presented by interquartile range of views.
View this figure

Popularity of Content

YouTube is a popular social media site that facilitates the sharing of content, evidence-based or otherwise, with a large body of users. The purpose of this study was to explore descriptive features of sedentary behavior content on YouTube to enhance future knowledge translation efforts of evidence-informed sedentary behavior content. Results from 106 sedentary behavior videos demonstrate that content is being uploaded from around the world, which further underscores the value of this medium as a way to link the global community. Moreover, these results may underestimate the global reach of content via this social platform due to eligibility criteria from this study excluding videos not available in English.

Google AdWords [27] was used to generate a list of search phrases common to Internet users. The search phrase “sedentary lifestyle” generated more unique search results on YouTube than the other search phrases. However, no relationship was evident between search phrase and either views or source of the video. These results suggest that certain key terms are more prevalent on the site, yet this does not appear to impact viewership of sedentary behavior content on this social media platform.

To help design the future development of sedentary behavior content for YouTube, our investigation explored the relationship between length of videos and view counts. There was no relationship, suggesting that length of video does not impact the viewership. Therefore, knowledge translation efforts may need to consider aspects other than length of videos in order to increase viewership.

User-generated comments on videos represent the interactive and collaborative nature of YouTube content. The videos included this analysis had generated very few comments on the YouTube site (Table 3), which may indicate that sedentary behavior content currently on YouTube is not generating discussion and collaboration among users. Similarly, there were a remarkably low number of shares for sedentary behavior videos, indicating that users are not engaging in further social features of the YouTube site to enhance the reach of sedentary behavior content.

Moreover, view counts can be used to compare popularity of content on YouTube. Typically, popular videos on the site generate hundreds of thousands to millions of views. The median view count of sedentary behavior videos was 239 (Table 3), which suggests that the sedentary behavior content posted to the site is not popular among users. This presents a substantial opportunity for sedentary behavior researchers to improve the reach and impact of evidence through this social platform.

Evidence-Based Content

In the past, the term “sedentary” was often used to refer to individuals who were not sufficiently physically active [4,29]. However, as noted above, available evidence suggests that sedentary behavior and physical activity should be viewed as separate and distinct constructs [4,30]. Thus, a growing number of researchers have suggested that the term “sedentary” should be used only to describe sedentary behaviors (eg, activities done while sitting), as opposed to the lack of physical activity [4].

Despite the widely used academic definition of sedentary behavior as activities characterized by sitting, approximately one third of this sample of videos displayed content on physical activity, not sedentary behaviors. Further, videos with higher view counts tended to portray information on physical activity, not sedentary behaviors (Figure 3). Finally, there was no relationship between search phrase and the type of activity behavior presented in the video (ie, sedentary behavior, physical activity, or mixed). These results further underscore the confusion between physical activity and sedentary behavior, which may impact knowledge users’ understanding of both the behaviors themselves and the associated health outcomes of these distinct behaviors.


The source and content of information is variable in this medium. There is currently a lack of standardized tools for assessing quality of content on social media sites like YouTube. Unlike systematic reviews of traditional evidence, a gap exists in the literature describing an evidence-based quality assessment tool for the purpose of reviewing social media content.

Moreover, previous research has highlighted concerns about the regulation of content available online. For example, one study that examined YouTube for evidence-based immunization content found that videos containing information that contradicted public health guidelines on the topic of interest were more likely to receive high view counts and user ratings and accounted for more than half of YouTube content on the topic [20]. Moreover, another study that examined YouTube for video content on eating disorders found that one third of videos glorified the unhealthy behaviors, and that these videos were more likely to have higher view counts than videos that discouraged the behavior [25]. These findings may further underscore the importance of the research community leveraging the popularity of YouTube as a knowledge translation vehicle to promote evidence-based information.

While YouTube is accessible around the world, and results from this study demonstrate content being uploaded from across the globe, many workplaces and educational institutions restrict user access to social media sites like YouTube. Restricted access may limit the impact of this medium for translation of evidence-based information to users. Research demonstrating the cultural value of YouTube [31,32] in conjunction with the potential of the social platform for sharing evidence-based content may be of value for informing the future development of policies governing access to social sites like YouTube.


While physical activity is a well-established research domain, the focus on sedentary behavior research is much more recent. Therefore, many information seekers are not only unaware of the health consequences of prolonged sedentary behaviors, but also of the distinction between “too much sitting” and “not enough exercise”. Moreover, there is a shortage of evidence describing the implementation and translation of evidence-based sedentary behavior information into lay landscapes, which could further impede an individual’s understanding of this health risk.

Our study explored sedentary behavior content available on YouTube. Findings demonstrate that there is confusion between physical activity and sedentary behaviors, that content is being uploaded to the site from around the globe, that content is primarily from health organizations and individuals with the purpose of educating fellow users, but that low views and comments suggest that sedentary behavior content is relatively underutilized on YouTube. Future research may wish to leverage social platforms, such as YouTube, to facilitate implementation of evidence-based sedentary behavior content.


EK is supported by a Canadian Institutes of Health Research Doctoral Research Award. Sponsors had no role in the development of this project or the submission of this manuscript for publication.

Authors' Contributions

EK contributed to research design, implementation, data collection, data analysis, and manuscript preparation. BI contributed to data collection, analysis, and manuscript preparation. AM contributed to data collection, analysis, and manuscript preparation. TJS contributed to research design, data analysis, and manuscript preparation. All authors approved the manuscript for publication.

Conflicts of Interest

TJS was the creator of one of the videos included in this analysis.

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Edited by G Eysenbach; submitted 02.09.14; peer-reviewed by S Sullivan, DM Liou; comments to author 22.09.14; revised version received 02.10.14; accepted 04.11.14; published 20.01.15


©Emily Knight, Brittany Intzandt, Alicia MacDougall, Travis J Saunders. Originally published in the Interactive Journal of Medical Research (, 20.01.2015.

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