scholarly journals Feedback on Physical Activity Through a Wearable Device Connected to a Mobile Phone App in Patients With Metabolic Syndrome: Pilot Study

10.2196/13381 ◽  
2019 ◽  
Vol 7 (6) ◽  
pp. e13381 ◽  
Author(s):  
Up Huh ◽  
Young Jin Tak ◽  
Seunghwan Song ◽  
Sung Woon Chung ◽  
Sang Min Sung ◽  
...  
Keyword(s):  
Physical Activity ◽  
Metabolic Syndrome ◽  
Pilot Study ◽  
Mobile Phone ◽  
Wearable Device

scholarly journals Feedback on Physical Activity Through a Wearable Device Connected to a Mobile Phone App in Patients With Metabolic Syndrome: Pilot Study (Preprint)

2019 ◽  
Author(s):  
Up Huh ◽  
Young Jin Tak ◽  
Seunghwan Song ◽  
Sung Woon Chung ◽  
Sang Min Sung ◽  
...  
Keyword(s):  
Physical Activity ◽  
Metabolic Syndrome ◽  
Mobile Phone ◽  
Wearable Device ◽  
Secondary Outcome ◽  
Clinical Settings ◽  
Telephone Consultation ◽  
Significant Difference ◽  
The Mean ◽  
Calorie Expenditure

BACKGROUND Little is known of the effect of wearable devices on metabolic impairments in clinical settings. We hypothesized that a wearable device that can monitor and provide feedback on physical activity may help resolve metabolic syndrome. OBJECTIVE This study aimed to examine the objective effects of the use of these devices on metabolic syndrome resolution. METHODS Patients diagnosed with metabolic syndrome were recruited. Participants were prescribed regular walking using a wearable device (Coffee WALKIE +Dv.3, GC Healthcare CI, Korea) on their wrist for 12 weeks. Participants received self-feedback on the amount of their exercise through an app on their mobile phone. The information on physical activities of the participants was uploaded automatically to a website. Thus, a trained nurse could provide individuals with feedback regarding the physical activity via telephone consultation on alternate weeks. Blood pressure (BP), body composition, fasting plasma glucose, and lipid profiles were recorded. The primary outcome was metabolic syndrome resolution. The secondary outcome was an improvement in the components of metabolic impairment. RESULTS Of the 53 participants recruited, 20 participants with a median age of 46 (range 36-50) years completed the trial. There was no significant difference in the amount of calorie expenditure at weeks 4, 8, and 12. After 12 weeks, metabolic syndrome was resolved in 9 of 20 participants (45%), and the mean number of metabolic impairment components per person decreased from 3.4 to 2.9. Particularly, the mean systolic and diastolic BP decreased from mean 136.6 (SD 18.5) mm Hg to mean 127.4 (SD 19.5) mm Hg and from mean 84.0 (SD 8.1) mm Hg to mean 77.4 (SD 14.4) mm Hg (both P=.02), respectively. CONCLUSIONS This study found that a 12-week intervention via feedback, based on a wearable physical activity monitor, helped metabolic syndrome patients to be more engaged in regular walking and it improved impaired metabolic components, especially in BP. However, some practical challenges regarding patients’ adherence and sustained engagement were observed.

scholarly journals Cardiorespiratory Fitness, Sedentary Behaviour and Physical Activity Are Independently Associated with the Metabolic Syndrome, Results from the SCAPIS Pilot Study

PLoS ONE ◽  
2015 ◽  
Vol 10 (6) ◽  
pp. e0131586 ◽  
Author(s):  
Örjan Ekblom ◽  
Elin Ekblom-Bak ◽  
Annika Rosengren ◽  
Mattias Hallsten ◽  
Göran Bergström ◽  
...  
Keyword(s):  
Physical Activity ◽  
Metabolic Syndrome ◽  
Pilot Study ◽  
Sedentary Behaviour ◽  
Cardiorespiratory Fitness ◽  
The Metabolic Syndrome

scholarly journals Feasibility and Acceptability of Mobile Phone–Based Auto-Personalized Physical Activity Recommendations for Chronic Pain Self-Management: Pilot Study on Adults (Preprint)

2018 ◽  
Author(s):  
Mashfiqui Rabbi ◽  
Min SH Aung ◽  
Geri Gay ◽  
M Cary Reid ◽  
Tanzeem Choudhury
Keyword(s):  
Physical Activity ◽  
Chronic Pain ◽  
Back Pain ◽  
Pilot Study ◽  
Mobile Phone ◽  
Chronic Back Pain ◽  
Positive Effects ◽  
Future Improvement ◽  
Physical Activity Recommendations ◽  
Activity Recommendations

BACKGROUND Chronic pain is a globally prevalent condition. It is closely linked with psychological well-being, and it is often concomitant with anxiety, negative affect, and in some cases even depressive disorders. In the case of musculoskeletal chronic pain, frequent physical activity is beneficial. However, reluctance to engage in physical activity is common due to negative psychological associations (eg, fear) between movement and pain. It is known that encouragement, self-efficacy, and positive beliefs are effective to bolster physical activity. However, given that the majority of time is spent away from personnel who can give such encouragement, there is a great need for an automated ubiquitous solution. OBJECTIVE MyBehaviorCBP is a mobile phone app that uses machine learning on sensor-based and self-reported physical activity data to find routine behaviors and automatically generate physical activity recommendations that are similar to existing behaviors. Since the recommendations are based on routine behavior, they are likely to be perceived as familiar and therefore likely to be actualized even in the presence of negative beliefs. In this paper, we report the preliminary efficacy of MyBehaviorCBP based on a pilot trial on individuals with chronic back pain. METHODS A 5-week pilot study was conducted on people with chronic back pain (N=10). After a week long baseline period with no recommendations, participants received generic recommendations from an expert for 2 weeks, which served as the control condition. Then, in the next 2 weeks, MyBehaviorCBP recommendations were issued. An exit survey was conducted to compare acceptance toward the different forms of recommendations and map out future improvement opportunities. RESULTS In all, 90% (9/10) of participants felt positive about trying the MyBehaviorCBP recommendations, and no participant found the recommendations unhelpful. Several significant differences were observed in other outcome measures. Participants found MyBehaviorCBP recommendations easier to adopt compared to the control (βint=0.42, P<.001) on a 5-point Likert scale. The MyBehaviorCBP recommendations were actualized more (βint=0.46, P<.001) with an increase in approximately 5 minutes of further walking per day (βint=4.9 minutes, P=.02) compared to the control. For future improvement opportunities, participants wanted push notifications and adaptation for weather, pain level, or weekend/weekday. CONCLUSIONS In the pilot study, MyBehaviorCBP’s automated approach was found to have positive effects. Specifically, the recommendations were actualized more, and perceived to be easier to follow. To the best of our knowledge, this is the first time an automated approach has achieved preliminary success to promote physical activity in a chronic pain context. Further studies are needed to examine MyBehaviorCBP’s efficacy on a larger cohort and over a longer period of time.

scholarly journals Innovation to motivation—pilot study of a mobile phone intervention to increase physical activity among sedentary women

2010 ◽  
Vol 51 (3-4) ◽  
pp. 287-289 ◽  
Author(s):  
Yoshimi Fukuoka ◽  
Eric Vittinghoff ◽  
So Son Jong ◽  
William Haskell
Keyword(s):  
Physical Activity ◽  
Pilot Study ◽  
Mobile Phone ◽  
Sedentary Women
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