{"id":{"repo_id":"vt","oai_identifier":"oai:vtechworks.lib.vt.edu:10919/80907"},"canonical_url":"https://search.dev.ndltd.org/etd/vt/oai:vtechworks.lib.vt.edu:10919/80907","repository":{"repo_id":"vt","name":"Virginia Tech","base_url":"https://vtechworks.lib.vt.edu/oai/request"},"display":{"title":"Uptake of a Wearable Activity Tracker in a Community-Based Weight Loss Program","abstract":"The purpose of this thesis was to determine the proportion of participants enrolled in a community-based weight loss program that would accept and use a wearable device (Fitbit) if included as part of the program. A sample of 526 newly enrolled, adult, female weight loss program participants (BMI ≥ 30 kg/m2 ) were recruited. Participants were randomized to either a Fitbit experimental condition or no-Fitbit control condition, and received emailed information on program features. The experimental condition email also included a free Fitbit offer. The full sample (n=526) was 44±12.6 years old with a BMI of 37±6.2 kg/m2. The proportion of experimental sample (n=266) that accepted and synced was 50% and 23%, respectively. Twenty-two participants in the control condition (8%) also independently obtained and synced a Fitbit. Ninety-nine percent passively declined (did not respond to request for Fitbit color and size information). Those that declined were older (46±13.4 vs. 42±11.3 years of age, p=.001) and weighed less (214±38.9lbs. vs. 231±41.3lbs., p=.01) than those who accepted. Those in the experimental sample who synced were younger (42±10.0 vs. 45±13.2 years of age, p=.012), and weighed more (237±45.2lbs. vs. 217±38.1lbs., p=.002) than those who accepted but did not sync. This thesis provides preliminary support that 23% of participants will accept and sync a free wearable device. These data can be used for decision making, combined with effectiveness and cost data, and research on wearable activity trackers and community, incentive, and web-based weight loss.","abstract_html":"The purpose of this thesis was to determine the proportion of participants enrolled in a community-based weight loss program that would accept and use a wearable device (Fitbit) if included as part of the program. A sample of 526 newly enrolled, adult, female weight loss program participants (BMI ≥ 30 kg/m2 ) were recruited. Participants were randomized to either a Fitbit experimental condition or no-Fitbit control condition, and received emailed information on program features. The experimental condition email also included a free Fitbit offer. The full sample (n=526) was 44±12.6 years old with a BMI of 37±6.2 kg/m2. The proportion of experimental sample (n=266) that accepted and synced was 50% and 23%, respectively. Twenty-two participants in the control condition (8%) also independently obtained and synced a Fitbit. Ninety-nine percent passively declined (did not respond to request for Fitbit color and size information). Those that declined were older (46±13.4 vs. 42±11.3 years of age, p=.001) and weighed less (214±38.9lbs. vs. 231±41.3lbs., p=.01) than those who accepted. Those in the experimental sample who synced were younger (42±10.0 vs. 45±13.2 years of age, p=.012), and weighed more (237±45.2lbs. vs. 217±38.1lbs., p=.002) than those who accepted but did not sync. This thesis provides preliminary support that 23% of participants will accept and sync a free wearable device. These data can be used for decision making, combined with effectiveness and cost data, and research on wearable activity trackers and community, incentive, and web-based weight loss.","abstract_has_math":false,"creators":["Taggart, Anna Elizabeth"],"institution":"Virginia Tech","degree_name":"Master of Science","degree_level":"masters","degree_discipline":"Human Nutrition, Foods, and Exercise","degree_department":"Human Nutrition, Foods, and Exercise","school":null,"contributors":[],"advisors":[],"committee_chairs":["Estabrooks, Paul A."],"committee_members":["Wilson, Kathryn E.","You, Wen","Harden, Samantha M."],"year":2016,"date_issued":"2016-06-08","date_published":"2016-06-08","updated_at":"2026-07-22T22:19:03Z","subjects":["Obesity","wearable devices","weight loss","incentives","RE-AIM","reach","social cognitive theory","behavioral science"],"languages":[],"rights":["In Copyright"],"rights_urls":["http://rightsstatements.org/vocab/InC/1.0/"],"identifier_entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["vt_gsexam:8158"],"render_values":[{"text":"vt_gsexam:8158","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/10919/80907","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.committeechair","label":"Committee Chair","values":["Estabrooks, Paul A."]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Wilson, Kathryn E.","You, Wen","Harden, Samantha M."]},{"key":"dc:contributor.department","label":"Department","values":["Human Nutrition, Foods, and Exercise"]},{"key":"dc:creator","label":"Author","values":["Taggart, Anna Elizabeth"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2017-12-01T07:00:34Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2017-12-01T07:00:34Z"]},{"key":"dc:date.issued","label":"Date","values":["2016-06-08"]},{"key":"dc:publisher","label":"Institution","values":["Virginia Tech"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Human Nutrition, Foods, and Exercise"]},{"key":"thesis:degree_level","label":"Degree Level","values":["masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Virginia Polytechnic Institute and State University"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Obesity","wearable devices","weight loss","incentives","RE-AIM","reach","social cognitive theory","behavioral science"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["In Copyright"]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://rightsstatements.org/vocab/InC/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["vt_gsexam:8158"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10919/80907"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The purpose of this thesis was to determine the proportion of participants enrolled in a community-based weight loss program that would accept and use a wearable device (Fitbit) if included as part of the program. A sample of 526 newly enrolled, adult, female weight loss program participants (BMI ≥ 30 kg/m2 ) were recruited. Participants were randomized to either a Fitbit experimental condition or no-Fitbit control condition, and received emailed information on program features. The experimental condition email also included a free Fitbit offer. The full sample (n=526) was 44±12.6 years old with a BMI of 37±6.2 kg/m2. The proportion of experimental sample (n=266) that accepted and synced was 50% and 23%, respectively. Twenty-two participants in the control condition (8%) also independently obtained and synced a Fitbit. Ninety-nine percent passively declined (did not respond to request for Fitbit color and size information). Those that declined were older (46±13.4 vs. 42±11.3 years of age, p=.001) and weighed less (214±38.9lbs. vs. 231±41.3lbs., p=.01) than those who accepted. Those in the experimental sample who synced were younger (42±10.0 vs. 45±13.2 years of age, p=.012), and weighed more (237±45.2lbs. vs. 217±38.1lbs., p=.002) than those who accepted but did not sync. This thesis provides preliminary support that 23% of participants will accept and sync a free wearable device. These data can be used for decision making, combined with effectiveness and cost data, and research on wearable activity trackers and community, incentive, and web-based weight loss."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["Master of Science"]},{"key":"dc:format.medium","label":"Dc Format Medium","values":["ETD"]},{"key":"dc:title","label":"Title","values":["Uptake of a Wearable Activity Tracker in a Community-Based Weight Loss Program"]}]}],"canonical_facts":{"dc:contributor.committeechair":["Estabrooks, Paul A."],"dc:contributor.committeemember":["Wilson, Kathryn E.","You, Wen","Harden, Samantha M."],"dc:contributor.department":["Human Nutrition, Foods, and Exercise"],"dc:creator":["Taggart, Anna Elizabeth"],"dc:date.accessioned":["2017-12-01T07:00:34Z"],"dc:date.available":["2017-12-01T07:00:34Z"],"dc:date.issued":["2016-06-08"],"dc:description.abstract":["The purpose of this thesis was to determine the proportion of participants enrolled in a community-based weight loss program that would accept and use a wearable device (Fitbit) if included as part of the program. A sample of 526 newly enrolled, adult, female weight loss program participants (BMI ≥ 30 kg/m2 ) were recruited. Participants were randomized to either a Fitbit experimental condition or no-Fitbit control condition, and received emailed information on program features. The experimental condition email also included a free Fitbit offer. The full sample (n=526) was 44±12.6 years old with a BMI of 37±6.2 kg/m2. The proportion of experimental sample (n=266) that accepted and synced was 50% and 23%, respectively. Twenty-two participants in the control condition (8%) also independently obtained and synced a Fitbit. Ninety-nine percent passively declined (did not respond to request for Fitbit color and size information). Those that declined were older (46±13.4 vs. 42±11.3 years of age, p=.001) and weighed less (214±38.9lbs. vs. 231±41.3lbs., p=.01) than those who accepted. Those in the experimental sample who synced were younger (42±10.0 vs. 45±13.2 years of age, p=.012), and weighed more (237±45.2lbs. vs. 217±38.1lbs., p=.002) than those who accepted but did not sync. This thesis provides preliminary support that 23% of participants will accept and sync a free wearable device. These data can be used for decision making, combined with effectiveness and cost data, and research on wearable activity trackers and community, incentive, and web-based weight loss."],"dc:description.degree":["Master of Science"],"dc:format.medium":["ETD"],"dc:identifier.other":["vt_gsexam:8158"],"dc:identifier.uri":["http://hdl.handle.net/10919/80907"],"dc:publisher":["Virginia Tech"],"dc:rights":["In Copyright"],"dc:rights.uri":["http://rightsstatements.org/vocab/InC/1.0/"],"dc:subject":["Obesity","wearable devices","weight loss","incentives","RE-AIM","reach","social cognitive theory","behavioral science"],"dc:title":["Uptake of a Wearable Activity Tracker in a Community-Based Weight Loss Program"],"dc:type":["Thesis"],"thesis:degree_discipline":["Human Nutrition, Foods, and Exercise"],"thesis:degree_level":["masters"],"thesis:degree_name":["Master of Science"],"thesis:institution_name":["Virginia Polytechnic Institute and State University"]},"updated_at":"2026-07-22T22:19:03Z"}