Consistent self-monitoring in a commercial app-based intervention for weight loss: results from a randomized trial

Patel, Michele L.; Brooks, Taylor L; Bennett, Gary G.

doi:10.1007/s10865-019-00091-8

Cited by 26 publications

(49 citation statements)

References 41 publications

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“…We identified 4,248 records in our database and hand searches. After the deduplication and screening stages, 53 papers describing 39 unique RCTs met all inclusion criteria (32‐84).…”

Section: Resultsmentioning

confidence: 99%

Self‐Monitoring via Digital Health in Weight Loss Interventions: A Systematic Review Among Adults with Overweight or Obesity

Patel

Wakayama

Bennett

2021

Obesity

Self Cite

113

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Objective: Self-monitoring is a core component of behavioral obesity treatment, but it is unknown how digital health has been used for selfmonitoring, what engagement rates are achieved in these interventions, and how self-monitoring and weight loss are related. Methods: This systematic review examined digital self-monitoring in behavioral weight loss interventions among adults with overweight or obesity. Six databases (PubMed, Embase, Scopus, PsycInfo, CINAHL, and ProQuest Dissertations & Theses) were searched for randomized controlled trials with interventions ≥ 12 weeks, weight outcomes ≥ 6 months, and outcomes on self-monitoring engagement and their relationship to weight loss. Results: Thirty-nine studies from 2009 to 2019 met inclusion criteria. Among the 67 interventions with digital self-monitoring, weight was tracked in 72% of them, diet in 81%, and physical activity in 82%. Websites were the most common self-monitoring modality, followed by mobile applications, wearables, electronic scales, and, finally, text messaging. Few interventions had digital self-monitoring engagement rates ≥ 75% of days. Rates were higher in digital-than in paper-based arms in 21 out of 34 comparisons and lower in just 2. Interventions with counseling had similar rates to standalone interventions. Greater digital self-monitoring was linked to weight loss in 74% of occurrences. Conclusions: Self-monitoring via digital health is consistently associated with weight loss in behavioral obesity treatment.

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“…We identified 4,248 records in our database and hand searches. After the deduplication and screening stages, 53 papers describing 39 unique RCTs met all inclusion criteria (32‐84).…”

Section: Resultsmentioning

confidence: 99%

Self‐Monitoring via Digital Health in Weight Loss Interventions: A Systematic Review Among Adults with Overweight or Obesity

Patel

Wakayama

Bennett

2021

Obesity

Self Cite

113

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“…The increased effort and time burden associated with active self-monitoring may thus adversely affect participant consistency and engagement. Indeed, other research has also demonstrated higher rates of engagement for behaviors that are passively versus actively self-monitored [ 37 , 38 ]. In addition, although self-monitoring weight via smart scales does not represent a similar time burden as self-monitoring of dietary intake, engagement may be impacted by other barriers such as negative emotions.…”

Section: Discussionmentioning

confidence: 99%

Consistency With and Disengagement From Self-monitoring of Weight, Dietary Intake, and Physical Activity in a Technology-Based Weight Loss Program: Exploratory Study

Carpenter¹,

Eastman²,

Ross³

2022

JMIR Form Res

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Background Digital self-monitoring tools offer promise to improve adherence to self-monitoring of weight and weight-related behaviors; however, less is known regarding the patterns of participant consistency and disengagement with these tools. Objective This study characterizes the consistency of use and time to disengagement with digital self-monitoring tools during a 6-month weight loss intervention and investigates whether the provision of phone-based intervention improved self-monitoring adherence. Methods Participants were 54 adults with overweight or obesity (mean age 49.6 years, SD 12.4 years; mean BMI 32.6 kg/m2, SD 3.2 kg/m2) enrolled in a pilot trial assessing the impact of self-monitoring technology (Fitbit Zip, Aria scale, and smartphone app), with and without additional interventionist contact, on weight loss. All participants received weight loss education and were asked to self-monitor weight, dietary intake, and physical activity daily throughout the 6-month program. Consistency was defined as the number of weeks that participants adhered to self-monitoring recommendations (7 out of 7 days). Disengagement was defined as the first of 2 consecutive weeks that the 7-day self-monitoring adherence goal was not met. Wilcoxon signed-rank tests were used to examine differences in consistency and disengagement by behavioral targets. t tests (2-tailed) and Cox proportional hazards models were used to examine whether providing additional interventionist contact would lead to significant improvements in consistency and time to disengagement from self-monitoring tools, respectively. Linear regressions were used to examine associations between consistency, time to disengagement, and weight loss. Results Participants consistently self-monitored physical activity for more weeks (mean 17.4 weeks, SD 8.5 weeks) than weight (mean 11.1 weeks, SD 8.5 weeks) or dietary intake (mean 10.8 weeks, SD 8.7 weeks; P<.05). Similarly, participants had a significantly longer time to disengagement from self-monitoring of physical activity (median 19.5 weeks) than weight (4 weeks) or dietary intake (10 weeks; P<.001). Participants randomized to receive additional interventionist contact had significantly greater consistency and longer time to disengagement for self-monitoring of dietary intake compared with participants who did not (P=.006); however, there were no statistically significant differences between groups for self-monitoring of weight or physical activity (P=.24 and P=.25, respectively). Greater consistency and longer time to disengagement were associated with greater weight loss for self-monitoring of weight and dietary intake (P<.001 and P=.004, respectively) but not for physical activity (P=.57). Conclusions Results demonstrated that self-monitoring adherence differed by behavioral target, with greater consistency and longer time to disengagement associated with lower-burden tools (ie, self-monitoring of physical activity). Consistent with supportive accountability theory, additional interventionist contact improved consistency and lengthened time to disengagement from self-monitoring of dietary intake. Given the observed associations between consistency, disengagement, and weight loss outcomes, it is important to identify additional methods of increasing consistency and engagement with digital self-monitoring tools.

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“…Short lifecycle of RMA adversely impacts scientifically valuable observational data, e.g., long-term digital impact and observation of behavior change. Whereas, CMA can enable long-term scientific observations as well as being promising in effective intervention design (5). Very few researchers were successful to conduct long term observations through RMA, if they secure a continuing funding or commercialization pathway.…”

Section: Converging Commercial Mobile App and Research Mobile Appmentioning

confidence: 99%

Can We Use Commercial Mobile Apps Instead of Research Mobile Apps in Healthcare Research?

Sezgın

2021

Front. Public Health

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Consistent self-monitoring in a commercial app-based intervention for weight loss: results from a randomized trial

Cited by 26 publications

References 41 publications

Self‐Monitoring via Digital Health in Weight Loss Interventions: A Systematic Review Among Adults with Overweight or Obesity

Self‐Monitoring via Digital Health in Weight Loss Interventions: A Systematic Review Among Adults with Overweight or Obesity

Consistency With and Disengagement From Self-monitoring of Weight, Dietary Intake, and Physical Activity in a Technology-Based Weight Loss Program: Exploratory Study

Can We Use Commercial Mobile Apps Instead of Research Mobile Apps in Healthcare Research?

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