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.

scholarly journals Patients with obesity use of activity monitors when attending a weight-loss programme—a qualitative study

2020 ◽  
Author(s):  
Ingrid Sørdal Følling ◽  
Line Oldervoll ◽  
Christina Hilmarsen ◽  
Ellen M I Ersfjord
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Weight Loss Program ◽  
Health Concern ◽  
Structured Interviews ◽  
Health Habits ◽  
Self Monitoring ◽  
Activity Monitors ◽  
Weight Loss Programme ◽  
Registration Number

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 program.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 ZipTM, Mio FuseTM, or Mio SliceTM. 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.Trial Registration: The study was registered in ClinicalTrials.gov on July 7 2016, with the registration number NCT02826122 and URL: https://clinicaltrials.gov/ct2/show/NCT02826122?term=NCT02826122&draw=2&rank=1.

scholarly journals A qualitative study of men’s behavioural changes during weight loss maintenance

2020 ◽  
Vol 140 (6) ◽  
pp. 317-326
Author(s):  
L Lozano-Sufrategui ◽  
A Pringle ◽  
D Carless ◽  
KJ Drew
Keyword(s):  
Weight Loss ◽  
Thematic Analysis ◽  
Weight Maintenance ◽  
Weight Loss Maintenance ◽  
Photo Elicitation ◽  
Structured Interviews ◽  
Behavioural Changes ◽  
Weight Loss Programme ◽  
Maintain Weight Loss ◽  
Long Term Impact

Aim: This study aims to understand the behaviour changes men who attended a weight loss programme engage in during weight maintenance. Understanding the needs of men in the context of weight loss maintenance is important, as they are underrepresented in this body of literature. Method: Given its focus on personal experience, this study adopted a qualitative design. Semi-structured interviews supported by participant-generated photo-elicitation techniques to explore the behavioural changes 12 men engaged in 6 months after attending a men-only weight loss programme. Data analysis was undertaken through thematic analysis and Gleeson’s polytextual thematic analysis. Results: This study suggests that the key behaviours men engaged in to maintain weight loss can be classified into four categories: (1) ‘Small’ changes, (2) Informed decisions, (3) Monitoring of behaviours, and (4) Dealing with ambivalence. Conclusion: This study makes an original contribution to knowledge and can have important implications for practice in the area of men’s health, particularly with regard to the long-term impact of weight loss interventions.

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 Using a consumer-based wearable activity tracker for physical activity goal setting and measuring steps in pregnant women with gestational diabetes mellitus: exploring acceptance and validity

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Samantha F. Ehrlich ◽  
Jill M. Maples ◽  
Cristina S. Barroso ◽  
Kathleen C. Brown ◽  
David R. Bassett ◽  
...  
Keyword(s):  
Physical Activity ◽  
Gestational Diabetes ◽  
Goal Setting ◽  
Equivalence Testing ◽  
Structured Interviews ◽  
Self Monitoring ◽  
Activity Tracker ◽  
Wearable Activity Tracker ◽  
Stepping In Place ◽  
Monitoring Devices

Abstract Background Activity monitoring devices may be used to facilitate goal-setting, self-monitoring, and feedback towards a step-based physical activity (PA) goal. This study examined the performance of the wrist-worn Fitbit Charge 3™ (FC3) and sought opinions on walking and stepping-in-place from women with gestational diabetes (GDM). Methods Participants completed six 2-min metronome-assisted over ground bouts that varied by cadence (67, 84, or 100 steps per minute) and mode (walking or stepping-in-place; N = 15), with the sequence randomized. Steps were estimated by FC3 and measured, in duplicate, by direct observation (hand-tally device, criterion). Equivalence testing by the two one-sided tests (TOST) method assessed agreement within ± 15%. Mean absolute percent error (MAPE) of steps were compared to 10%, the accuracy standard of the Consumer Technology Association (CTA)™. A subset (n = 10) completed a timed, 200-m self-paced walk to assess natural walking pace and cadence. All participants completed semi-structured interviews, which were transcribed and analyzed using descriptive and interpretive coding. Results Mean age was 27.0 years (SD 4.2), prepregnancy BMI 29.4 kg/m2 (8.3), and gestational age 32.8 weeks (SD 2.6). The FC3 was equivalent to hand-tally for bouts of metronome-assisted walking and stepping-in-place at 84 and 100 steps per minute (i.e., P < .05), although walking at 100 steps per minute (P = .01) was no longer equivalent upon adjustment for multiple comparisons (i.e., at P < .007). The FC3 was equivalent to hand-tally during the 200-m walk (i.e., P < .001), in which mean pace was 68.2 m per minute (SD 10.7), or 2.5 miles per hour, and mean cadence 108.5 steps per minute (SD 6.5). For walking at 84 and 100 steps per minute, stepping-in-place at 100 steps per minute, and the 200-m walk, MAPE was within 10%, the accuracy standard of the CTA™. Interviews revealed motivation for PA, that stepping-in-place was an acceptable alternative to walking, and competing responsibilities made it difficult to find time for PA. Conclusions The FC3 appears to be a valid step counter during the third trimester, particularly when walking or stepping-in-place at or close to women’s preferred cadence.

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).

Weight-Loss Resilience Among Low-Income Postpartum Women: Association With Health Habits

2019 ◽  
Vol 41 (12) ◽  
pp. 1709-1723 ◽  
Author(s):  
Lorraine O. Walker ◽  
Sookja Kang ◽  
Bobbie S. Sterling
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Weight Loss ◽  
Perceived Stress ◽  
Low Income ◽  
Group Intervention ◽  
Dietary Habits ◽  
Control Group ◽  
Postpartum Women ◽  
Health Habits

Using a weight resilience framework, health habits of diet and physical activity, social support, and perceived stress were compared in women who lost weight (resilient) and those who did not lose or gained weight (nonresilient) during a weight-loss intervention. Participants were low-income postpartum women participating in a 13-week randomized treatment-control group intervention, with 20 of 50 classified as resilient in losing weight. Measures included the Postpartum Support Scale, the Perceived Stress Scale, and health habit items from the Self Care Inventory. Weight-loss resilient women showed significantly more frequent healthful dietary habits, such as eating a nutritious breakfast, and less frequent unhealthy habits, such as substituting junk food for meals, and less perceived stress than their nonresilient counterparts at both the midpoint and end of the study. Weight-loss resilient women also showed significantly more frequent physical activity habits at the end of the study. No social support differences were found.

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