This dissertation focuses on managing and understanding obesity. Three manuscripts were written addressing this topic. First, a meta-analysis was performed assessing the joint association between cardiorespiratory fitness and excessive body weight compared to mortality. After searching two databases and applying inclusion and exclusion criteria, 9 articles were included in the analysis. Individuals who are fat and also fit had the same risk of mortality (Hazard ratio and 95% confidence intervals, 1.12, 0.97-1.29) as normal weight and fit individuals. Furthermore, unfit individuals, regardless if they were normal weight (2.01, 1.63-2.48) or fat (2.09, 1.71-2.54), had twice the risk of death compared to normal weight and fit individuals. Second, the rationale, design, intervention and outcome measures of a randomized controlled trial were discussed. Third, data from the randomized controlled trial were analyzed to assess electronic (i.e. SenseWear Armband) lifestyle self-monitoring (i.e. physical activity and dietary intake) and its relation to weight reduction. After the 9 month intervention, participants were categorized into self-monitoring groups (i.e. low, moderate and high) based on adherence to lifestyle self-monitoring during the intervention. Weight loss outcomes were then compared between groups. Participants who self-monitored at high levels lost significantly more weight (-9.0, 95% CI, -5.2 - -12.8%) than participants who self-monitored at moderate (-4.5, -8.0 - -1.1%) and low levels (0.0, -1.4 - 1.5%). For clinically significant (i.e. > 5%) weight loss, participants wore the electronic device on average 13 hours and 55 minutes per day, 80% of the time (i.e. 178 of 222 days) and tracked food consumption 47% of the time (i.e. 104 of 222 days) . To help reduce obesity levels health care professionals and scientists should promote high levels of lifestyle self-monitoring. Furthermore, more focus should be place on attaining and maintaining habitual physical activity and less on weight loss for mortality risk reduction.
","abstract_html":"<p>This dissertation focuses on managing and understanding obesity. Three manuscripts were written addressing this topic. First, a meta-analysis was performed assessing the joint association between cardiorespiratory fitness and excessive body weight compared to mortality. After searching two databases and applying inclusion and exclusion criteria, 9 articles were included in the analysis. Individuals who are fat and also fit had the same risk of mortality (Hazard ratio and 95% confidence intervals, 1.12, 0.97-1.29) as normal weight and fit individuals. Furthermore, unfit individuals, regardless if they were normal weight (2.01, 1.63-2.48) or fat (2.09, 1.71-2.54), had twice the risk of death compared to normal weight and fit individuals. Second, the rationale, design, intervention and outcome measures of a randomized controlled trial were discussed. Third, data from the randomized controlled trial were analyzed to assess electronic (i.e. SenseWear Armband) lifestyle self-monitoring (i.e. physical activity and dietary intake) and its relation to weight reduction. After the 9 month intervention, participants were categorized into self-monitoring groups (i.e. low, moderate and high) based on adherence to lifestyle self-monitoring during the intervention. Weight loss outcomes were then compared between groups. Participants who self-monitored at high levels lost significantly more weight (-9.0, 95% CI, -5.2 - -12.8%) than participants who self-monitored at moderate (-4.5, -8.0 - -1.1%) and low levels (0.0, -1.4 - 1.5%). For clinically significant (i.e. > 5%) weight loss, participants wore the electronic device on average 13 hours and 55 minutes per day, 80% of the time (i.e. 178 of 222 days) and tracked food consumption 47% of the time (i.e. 104 of 222 days) . To help reduce obesity levels health care professionals and scientists should promote high levels of lifestyle self-monitoring. Furthermore, more focus should be place on attaining and maintaining habitual physical activity and less on weight loss for mortality risk reduction.</p>","abstract_has_math":false,"creators":["Barry, Vaughn Wesley"],"institution":null,"degree_name":"Ph.D.","degree_level":"Campus Access Dissertation","degree_discipline":"Exercise Science","degree_department":null,"school":null,"contributors":["Steven N Blair"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011-01-01T08:00:00Z","date_published":"2011-01-01T08:00:00Z","updated_at":"2026-07-24T04:37:28Z","subjects":["Exercise Science","Kinesiology","Life Sciences","Cardiorespiratory","fit/fat","Fitness","meta-analysis","Obesity","Self-monitoring"],"languages":[],"rights":["© 2011, Vaughn Wesley Barry"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://scholarcommons.sc.edu/etd/1194","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Steven N Blair"]},{"key":"dc:creator","label":"Author","values":["Barry, Vaughn Wesley"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Exercise Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Campus Access Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Exercise Science","Kinesiology","Life Sciences","Cardiorespiratory","fit/fat","Fitness","meta-analysis","Obesity","Self-monitoring"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["© 2011, Vaughn Wesley Barry"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholarcommons.sc.edu/etd/1194"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This dissertation focuses on managing and understanding obesity. Three manuscripts were written addressing this topic. First, a meta-analysis was performed assessing the joint association between cardiorespiratory fitness and excessive body weight compared to mortality. After searching two databases and applying inclusion and exclusion criteria, 9 articles were included in the analysis. Individuals who are fat and also fit had the same risk of mortality (Hazard ratio and 95% confidence intervals, 1.12, 0.97-1.29) as normal weight and fit individuals. Furthermore, unfit individuals, regardless if they were normal weight (2.01, 1.63-2.48) or fat (2.09, 1.71-2.54), had twice the risk of death compared to normal weight and fit individuals. Second, the rationale, design, intervention and outcome measures of a randomized controlled trial were discussed. Third, data from the randomized controlled trial were analyzed to assess electronic (i.e. SenseWear Armband) lifestyle self-monitoring (i.e. physical activity and dietary intake) and its relation to weight reduction. After the 9 month intervention, participants were categorized into self-monitoring groups (i.e. low, moderate and high) based on adherence to lifestyle self-monitoring during the intervention. Weight loss outcomes were then compared between groups. Participants who self-monitored at high levels lost significantly more weight (-9.0, 95% CI, -5.2 - -12.8%) than participants who self-monitored at moderate (-4.5, -8.0 - -1.1%) and low levels (0.0, -1.4 - 1.5%). For clinically significant (i.e. > 5%) weight loss, participants wore the electronic device on average 13 hours and 55 minutes per day, 80% of the time (i.e. 178 of 222 days) and tracked food consumption 47% of the time (i.e. 104 of 222 days) . To help reduce obesity levels health care professionals and scientists should promote high levels of lifestyle self-monitoring. Furthermore, more focus should be place on attaining and maintaining habitual physical activity and less on weight loss for mortality risk reduction.
"]},{"key":"dc:title","label":"Title","values":["An Assessment of Obesity Through Lifestyle Self-monitoring and Cardiorespiratory Fitness"]}]}],"canonical_facts":{"dc:contributor":["Steven N Blair"],"dc:creator":["Barry, Vaughn Wesley"],"dc:description.abstract":["This dissertation focuses on managing and understanding obesity. Three manuscripts were written addressing this topic. First, a meta-analysis was performed assessing the joint association between cardiorespiratory fitness and excessive body weight compared to mortality. After searching two databases and applying inclusion and exclusion criteria, 9 articles were included in the analysis. Individuals who are fat and also fit had the same risk of mortality (Hazard ratio and 95% confidence intervals, 1.12, 0.97-1.29) as normal weight and fit individuals. Furthermore, unfit individuals, regardless if they were normal weight (2.01, 1.63-2.48) or fat (2.09, 1.71-2.54), had twice the risk of death compared to normal weight and fit individuals. Second, the rationale, design, intervention and outcome measures of a randomized controlled trial were discussed. Third, data from the randomized controlled trial were analyzed to assess electronic (i.e. SenseWear Armband) lifestyle self-monitoring (i.e. physical activity and dietary intake) and its relation to weight reduction. After the 9 month intervention, participants were categorized into self-monitoring groups (i.e. low, moderate and high) based on adherence to lifestyle self-monitoring during the intervention. Weight loss outcomes were then compared between groups. Participants who self-monitored at high levels lost significantly more weight (-9.0, 95% CI, -5.2 - -12.8%) than participants who self-monitored at moderate (-4.5, -8.0 - -1.1%) and low levels (0.0, -1.4 - 1.5%). For clinically significant (i.e. > 5%) weight loss, participants wore the electronic device on average 13 hours and 55 minutes per day, 80% of the time (i.e. 178 of 222 days) and tracked food consumption 47% of the time (i.e. 104 of 222 days) . To help reduce obesity levels health care professionals and scientists should promote high levels of lifestyle self-monitoring. Furthermore, more focus should be place on attaining and maintaining habitual physical activity and less on weight loss for mortality risk reduction.
"],"dc:identifier":["https://scholarcommons.sc.edu/etd/1194"],"dc:rights":["© 2011, Vaughn Wesley Barry"],"dc:subject":["Exercise Science","Kinesiology","Life Sciences","Cardiorespiratory","fit/fat","Fitness","meta-analysis","Obesity","Self-monitoring"],"dc:title":["An Assessment of Obesity Through Lifestyle Self-monitoring and Cardiorespiratory Fitness"],"thesis:degree_discipline":["Exercise Science"],"thesis:degree_level":["Campus Access Dissertation"],"thesis:degree_name":["Ph.D."]},"updated_at":"2026-07-24T04:37:28Z"}