scholarly journals Effect of adherence to self-monitoring of diet and physical activity on weight loss in a technology-supported behavioral intervention

2012 ◽  
pp. 221 ◽  
Author(s):  
Jing Wang ◽  
Susan Sereika ◽  
Chasens ◽  
Ewing ◽  
Matthews ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Behavioral Intervention ◽  
Self Monitoring ◽  
Diet And Physical Activity

scholarly journals Design and Development of a Digital Weight Management Intervention (ToDAy): Qualitative Study

10.2196/17919 ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. e17919
Author(s):  
Charlene L Shoneye ◽  
Barbara Mullan ◽  
Andrea Begley ◽  
Christina M Pollard ◽  
Jonine Jancey ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Qualitative Study ◽  
Focus Groups ◽  
Weight Management ◽  
Self Monitoring ◽  
Management Intervention ◽  
Monitoring Tools ◽  
Diet And Physical Activity ◽  
Weight Management Intervention

Background The Tailored Diet and Activity (ToDAy) study aims to build on the campaign by adding a digital intervention with the potential to provide wide-reaching, cost-effective weight management support. Objective The ToDAy study aims to build a tailored intervention using mobile technology to improve diet and physical activity behaviours in adults with overweight and obesity. The main objectives were to identify behavior change techniques for diet and physical activity (PA) change for weight loss and explore preferences for digital intervention features that would be effective in changing diet and PA behaviors. Methods This qualitative study uses the principles of a person-based approach to intervention development; the behavioral intervention technology framework; and the capability, opportunity, motivation, and behavior (COM-B) framework. Focus groups and telephone interviews were conducted with 56 adults in Western Australia. Open-ended questions and example intervention features were used to explore the usability and acceptability of the self-monitoring tools, knowledge about effective weight-loss strategies, and acceptability of tailored feedback. Findings from the focus groups and interviews were analyzed using thematic analysis. Results Qualitative findings revealed an awareness of key public health messages but a lack of confidence in how to perform these behaviors to help manage their weight. A total of 4 major themes were identified and mapped to the domains of the COM-B framework: (1) misinformation, (2) environmental support, (3) social norms, and (4) confidence. Conclusions This study explores users’ capability, opportunity, and motivation to perform the target behaviors for weight loss. The findings suggested that a digital weight management intervention using a mobile food record and activity trackers to inform tailored feedback may be acceptable and feasible. Participants expressed a preference for simple expert advice, digital self-monitoring tools, and visual feedback. International Registered Report Identifier (IRRID) RR2-10.2196/12782

scholarly journals Design and Development of a Digital Weight Management Intervention (ToDAy): Qualitative Study (Preprint)

2020 ◽  
Author(s):  
Charlene L Shoneye ◽  
Barbara Mullan ◽  
Andrea Begley ◽  
Christina M Pollard ◽  
Jonine Jancey ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Qualitative Study ◽  
Focus Groups ◽  
Weight Management ◽  
Self Monitoring ◽  
Management Intervention ◽  
Monitoring Tools ◽  
Diet And Physical Activity ◽  
Weight Management Intervention

BACKGROUND The Tailored Diet and Activity (ToDAy) study aims to build on the campaign by adding a digital intervention with the potential to provide wide-reaching, cost-effective weight management support. OBJECTIVE The ToDAy study aims to build a tailored intervention using mobile technology to improve diet and physical activity behaviours in adults with overweight and obesity. The main objectives were to identify behavior change techniques for diet and physical activity (PA) change for weight loss and explore preferences for digital intervention features that would be effective in changing diet and PA behaviors. METHODS This qualitative study uses the principles of a person-based approach to intervention development; the behavioral intervention technology framework; and the capability, opportunity, motivation, and behavior (COM-B) framework. Focus groups and telephone interviews were conducted with 56 adults in Western Australia. Open-ended questions and example intervention features were used to explore the usability and acceptability of the self-monitoring tools, knowledge about effective weight-loss strategies, and acceptability of tailored feedback. Findings from the focus groups and interviews were analyzed using thematic analysis. RESULTS Qualitative findings revealed an awareness of key public health messages but a lack of confidence in how to perform these behaviors to help manage their weight. A total of 4 major themes were identified and mapped to the domains of the COM-B framework: (1) misinformation, (2) environmental support, (3) social norms, and (4) confidence. CONCLUSIONS This study explores users’ capability, opportunity, and motivation to perform the target behaviors for weight loss. The findings suggested that a digital weight management intervention using a mobile food record and activity trackers to inform tailored feedback may be acceptable and feasible. Participants expressed a preference for simple expert advice, digital self-monitoring tools, and visual feedback. INTERNATIONAL REGISTERED REPORT RR2-10.2196/12782

Pilot Test of an Acceptance-Based Behavioral Intervention to Promote Physical Activity During Weight Loss Maintenance

2016 ◽  
Vol 44 (1) ◽  
pp. 77-87 ◽  
Author(s):  
Meghan L. Butryn ◽  
Stephanie Kerrigan ◽  
Danielle Arigo ◽  
Greer Raggio ◽  
Evan M. Forman
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Behavioral Intervention ◽  
Weight Loss Maintenance ◽  
Pilot Test

scholarly journals Physical Activity Self-Monitoring and Weight Loss

2011 ◽  
Vol 43 (8) ◽  
pp. 1568-1574 ◽  
Author(s):  
MOLLY B. CONROY ◽  
KYEONGRA YANG ◽  
OKAN U. ELCI ◽  
KELLEY PETTEE GABRIEL ◽  
MINDI A. STYN ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Self Monitoring

scholarly journals Describing Transitions in Adherence to Physical Activity Self-monitoring and Goal Attainment in an Online Behavioral Weight Loss Program: Secondary Analysis of a Randomized Controlled Trial (Preprint)

2021 ◽  
Author(s):  
Melissa Lee Stansbury ◽  
Jean R Harvey ◽  
Rebecca A Krukowski ◽  
Christine A Pellegrini ◽  
Xuewen Wang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Goal Attainment ◽  
Vigorous Physical Activity ◽  
Secondary Analysis ◽  
Individual Characteristics ◽  
Behavioral Weight Loss ◽  
Self Monitoring ◽  
Program Goal ◽  
Monitoring Behavior

BACKGROUND Standard behavioral weight loss interventions often set uniform physical activity (PA) goals and promote PA self-monitoring; however, adherence remains a challenge and recommendations may not accommodate all individuals. Identifying patterns of PA goal attainment and self-monitoring behavior will offer a deeper understanding of how individuals adhere to different types of commonly prescribed PA recommendations (ie., minutes of moderate-to-vigorous physical activity [MVPA] and daily steps) and guide future recommendations for improved intervention effectiveness. OBJECTIVE This study examined weekly patterns of adherence to steps-based and minutes-based PA goals and self-monitoring behavior during a 6-month online behavioral weight loss intervention. METHODS Participants were prescribed weekly PA goals for steps (7,000 to 10,000 steps/day) and minutes of MVPA (50 to 200 minutes/week) as part of a lifestyle program. Goals gradually increased during the initial 2 months, followed by 4 months of fixed goals. PA was self-reported daily on the study website. For each week, participants were categorized as “adherent” if they self-monitored their PA and met the program PA goal, “suboptimally adherent” if they self-monitored but did not meet the program goal, or “nonadherent” if they did not self-monitor. The probability of transitioning into a less adherent status was examined using multinomial logistic regression. RESULTS Individuals (N=212) were predominantly middle-aged females with obesity, and 31.6% self-identified as a racial/ethnic minority. Initially, 34.4% were categorized as “adherent” to steps-based goals (51.9% “suboptimally adherent” and 13.7% “nonadherent”), and there was a high probability of either remaining “suboptimally adherent” from week-to-week or transitioning to a “nonadherent” status. On the other hand, 70.3% of individuals started out “adherent” to minutes-based goals (16.0% “suboptimally adherent” and 13.7% “nonadherent”), with “suboptimally adherent” seen as the most variable status. During the graded goal phase, individuals were more likely to transition to a less adherent status for minutes-based goals (OR 1.39, 95% CI 1.31-1.48) compared to steps-based goals (OR 1.24, 95% CI 1.17-1.30); however, no differences were seen during the fixed goal phase (minutes-based goals: OR 1.06, 95% CI 1.05, 1.08 versus steps-based goals: OR 1.07, 95% CI 1.05, 1.08). CONCLUSIONS States of vulnerability to poor PA adherence can emerge rapidly and early in obesity treatment. There is a window of opportunity within the initial two months to bring more people towards “adherent” behavior, especially those who fail to meet the prescribed goals but engage in self-monitoring. While this study describes the probability of adhering to steps-based and minutes-based targets, it will be prudent to determine how individual characteristics and contextual states relate to these behavioral patterns, which can inform how best to adapt interventions. CLINICALTRIAL This study was a secondary analysis of a pre-registered randomized trial (Trial Registration: ClinicalTrials.gov NCT02688621).

Effect of weight loss on cardiometabolic risk factors in obese patients

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
A Penesova ◽  
J Babjakova ◽  
A Havranova ◽  
R Imrich ◽  
M Vlcek
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Insulin Sensitivity ◽  
Physical Fitness ◽  
Cardiometabolic Risk ◽  
Hdl Cholesterol ◽  
Diet And Physical Activity ◽  
Life Style Intervention ◽  
Group A ◽  
Group B

Abstract Background Central obesity and dyslipidemia are a cardinal features of the metabolic syndrome and represents increased cardiometabolic risk. It has been shown that weight loss is capable to improve insulin sensitivity and lipid parameters. The aim of our study was to analyze the effect of a weight-lowering program (diet and physical activity) on LDL- and HDL-cholesterol subfractions and cardiometabolic risk factors (waist circumference, blood pressure, insulin sensitivity, physical fitness). Methods We studied 2 groups of obese subjects, group A composed of 43 patients with obesity grade 1 and 2 (30F/13M; age: 43.2 ±12.4 years; BMI 31.3 ± 6.1 kg/m2); group B composed of patients with obesity grade 3 (6F/7M; age: 34.7 ±9.8 years; BMI 51.7 ± 7.9 kg/m2). The weight loss interventional program (NCT02325804) in duration of 8-week (group A) or 24 weeks (group B) consisted of hypocaloric diet and physical activity. Body composition, physical fitness, blood lipids profile (using the Lipoprint system (Quantimetrix Corp., CA, USA), and insulin sensitivity were measured. Results The average weight loss was 7.3±1.9 kg in group A and 35.3±16.0 kg in group B. Systolic, diastolic blood pressure (BP) as well as heart rate decreased in group A, in group B only systolic BP. Fasting plasma glucose and insulin decreased as well as insulin sensitivity and physical fitness has been improved after intervention. Total, LDL2, HDL2 cholesterol, as well as triglycerides (TG) decreased with weight in group A and total, LDL, TG, VLDL, LDL2 large, and small HDL subfractions decreased and intermediate HDL increased in group B. Conclusions Short term life style intervention (diet and physical activity) in patients with obesity lead to notable improvement of cardiometabolic parameters (decreased body fat mass, improved insulin sensitivity, lipid profile) as well as atheroprotective changes in LDL subfractions. Funding Supported by grants APVV 17-0099; VEGA 2/0129/20; VEGA 2/0072/18 Key messages Short term life style intervention in patients with obesity lead to notable improvement of cardiometabolic parameters. Weight-lowering program (diet and physical activity) lead to positive changes in LDL- and HDL-cholesterol subfractions.

The relationship between self-monitoring, outcome expectancies, difficulties with eating and exercise, and physical activity and weight loss treatment outcomes

2005 ◽  
Vol 30 (3) ◽  
pp. 182-190 ◽  
Author(s):  
Robert A. Carels ◽  
Lynn A. Darby ◽  
Sofia Rydin ◽  
Olivia M. Douglass ◽  
Holly M. Cacciapaglia ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Treatment Outcomes ◽  
Outcome Expectancies ◽  
Weight Loss Treatment ◽  
Self Monitoring ◽  
The Relationship

Barriers to Weight Loss and Physical Activity, and Coach Approaches to Addressing Barriers, in a Real-World Adaptation of the DPP Lifestyle Intervention: A Process Analysis

2019 ◽  
Vol 45 (6) ◽  
pp. 596-606 ◽  
Author(s):  
Linda M. Delahanty ◽  
Paula M. Trief ◽  
Donald A. Cibula ◽  
Ruth S. Weinstock
Keyword(s):  
Physical Activity ◽  
At Risk ◽  
Weight Loss ◽  
Real World ◽  
Positive Impact ◽  
Process Analysis ◽  
Community Sample ◽  
Diabetes Prevention Program ◽  
Care Staff ◽  
Self Monitoring

Purpose The purpose of this study is to identify barriers to weight loss and physical activity, as well as approaches used by coaches, in a real-world, community sample of adults with metabolic syndrome (at risk for type 2 diabetes) who participated in a Diabetes Prevention Program (DPP)–adapted weight loss intervention and compare findings to data from the screened and highly selected DPP sample. Methods SHINE (Support, Health Information, Nutrition, and Exercise) was a telephonic DPP adaptation. Primary care staff delivered the DPP curriculum, and lifestyle coaches provided monthly direction to achieve weight loss. For this substudy, barriers to weight loss and physical activity described by participants, as well as approaches coaches used to address them, were gathered. Groupings of barriers (DPP defined) were analyzed in relation to demographic characteristics and compared to data from the DPP sample. Results Top weight loss barriers were problems with self-monitoring, too little physical activity, internal thought/mood cues, vacation/holidays, and social cues. Percentages reporting a barrier were much higher in SHINE. Top physical activity barriers were problems with self-monitoring, access/weather, time management, aches/pains, and vacation/holidays. These did not correspond closely to DPP data. Coaches used problem solving, self-monitoring skills review, increased physical activity, and motivational strategies. SHINE coaches were more likely than DPP coaches to use alternative approaches. Conclusions Barriers to weight loss and physical activity in a community sample of persons at risk for diabetes occurred at much higher rates than in the highly screened DPP sample. Training coaches in a variety of patient-centered approaches may maximize their positive impact.

Sign in / Sign up

Export Citation Format

Share Document