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Previously submitted to: JMIR Public Health and Surveillance (no longer under consideration since Apr 12, 2018)

Date Submitted: Apr 12, 2018
Open Peer Review Period: Apr 12, 2018 - Apr 12, 2018
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Unique views on obesity-related behaviors and environments: research using still and video images

Carlson J, Hipp JA, Kerr J, Horowitz T, Berrigan D

Unique views on obesity-related behaviors and environments: research using still and video images

DOI: 10.1123/jmpb.2018-0021

NOTE: This is an unreviewed Preprint

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Unique views on obesity-related behaviors and environments: research using still and video images

  • Jordan Carlson; 
  • J. Aaron Hipp; 
  • Jacqueline Kerr; 
  • Todd Horowitz; 
  • David Berrigan

Background:

Image based data collection for obesity research is in its infancy.

Objective:

The present study aimed to document challenges to and benefits from such research by capturing examples of research involving the use of images to assess physical activity- or nutrition-related behaviors and/or environments.

Methods:

Researchers (i.e., key informants) using image capture in their research were identified through knowledge and networks of the authors of this paper and through literature search. Twenty-nine key informants completed a survey covering the type of research, source of images, and challenges and benefits experienced, developed specifically for this study.

Results:

Most respondents used still images in their research, with only 26.7% using video. Image sources were categorized as participant generated (N = 13; e.g., participants using smartphones for dietary assessment), researcher generated (N = 10; e.g., wearable cameras with automatic image capture), or curated from third parties (N = 7; e.g., Google Street View). Two of the major challenges that emerged included the need for automated processing of large datasets (58.8%) and participant recruitment/compliance (41.2%). Benefit-related themes included greater perspectives on obesity with increased data coverage (34.6%) and improved accuracy of behavior and environment assessment (34.6%).

Conclusions:

Technological advances will support the increased use of images in the assessment of physical activity, nutrition behaviors, and environments. To advance this area of research, more effective collaborations are needed between health and computer scientists. In particular development of automated data extraction methods for diverse aspects of behavior, environment, and food characteristics are needed. Additionally, progress in standards for addressing ethical issues related to image capture for research purposes are critical.

ClinicalTrial:

NA


 Citation

Please cite as:

Carlson J, Hipp JA, Kerr J, Horowitz T, Berrigan D

Unique views on obesity-related behaviors and environments: research using still and video images

JMIR Preprints. 12/04/2018:10648

DOI: 10.2196/preprints.10648

URL: https://preprints.jmir.org/preprint/10648

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