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).

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.

scholarly journals Characterizing Self-Monitoring Behavior and Its Association With Physical Activity and Weight Loss Maintenance

2018 ◽  
pp. 155982761879055 ◽  
Author(s):  
Kara L. Gavin ◽  
Nancy E. Sherwood ◽  
Julian Wolfson ◽  
Mark A. Pereira ◽  
Jennifer A. Linde
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Weight Loss Maintenance ◽  
Self Monitoring ◽  
Monitoring Behavior

scholarly journals Exploring use of activity monitors for patients with obesity during weight-loss treatment - a qualitative study

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Ingrid S. Følling ◽  
Line M. Oldervoll ◽  
Christina Hilmarsen ◽  
Ellen M. I. Ersfjord
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Health Concern ◽  
Use Of Self ◽  
Structured Interviews ◽  
Health Habits ◽  
Self Monitoring ◽  
Major Health ◽  
Activity Monitors ◽  
Weight Loss Programme

Abstract Background Obesity is a major health concern in western countries. In Norway, patients with obesity can attend weight-loss programmes, which focus on changes in dietary and physical activity habits. Use of self-monitoring is advocated when changing dietary and physical activity habits for adults with obesity. This study aimed to explore the experiences of patients with obesity who used activity monitors while attending a weight-loss programme. Methods Patients with body mass index (BMI) > 35 kg/m2 with weight related comorbidities or a BMI > 40 kg/m2 referred to an intermittent weight-loss programme were recruited into this study. They were introduced to one of three different activity monitors, Fitbit Zip™, Mio Fuse™, or Mio Slice™. Semi-structured interviews were performed with patients six months into the weight-loss programme. Thematic analysis was applied when analysing the data. Results Of the 29 informants (aged 21 to 66 years) interviewed, 59% were female. Their experience with activity monitors was related to their adherence to the weight-loss programme. Two main themes emerged from the informants stories: 1. “Activity monitors visualize proof of effort or failure to change health habits”. 2. “Activity monitors act as a positive or negative enforcer when incorporating change”. Conclusions Using activity monitors either strengthens or undermines patients’ attempts to change health habits when attending a weight-loss program. Our findings suggest a need for more individualized weight-loss programmes for patients with obesity.

The impact of self-monitoring food intake on motivation, physical activity and weight loss in rural adults

2017 ◽  
Vol 35 ◽  
pp. 36-41 ◽  
Author(s):  
Jill R. Reed ◽  
Leeza Struwe ◽  
Matthew R. Bice ◽  
Bernice C. Yates
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Food Intake ◽  
Self Monitoring ◽  
The Impact ◽  
Rural Adults

Influence of Pre-operative Self-Monitoring of Physical Activity on Pre-operative Physical Activity, and Post-operative Weight Loss Outcomes

2017 ◽  
Vol 13 (10) ◽  
pp. S93-S94
Author(s):  
Genna Hymowitz ◽  
Cathering Tuppo ◽  
Jessica Salwen-Deremer ◽  
Konstantinos Spaniolas ◽  
Aurora Pryor
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Self Monitoring ◽  
Weight Loss Outcomes

Associations Among Self-monitoring, Leisure Physical Activity, And Weight Loss: 6-month Results From The Smart Trial

2010 ◽  
Vol 42 ◽  
pp. 164
Author(s):  
Molly B. Conroy ◽  
Kyeongra Yang ◽  
Okan U. Elci ◽  
Mindi Styn ◽  
Jing Wang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Self Monitoring ◽  
Leisure Physical Activity
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