The Pain-Note smartphone app as a tool to measure the relationship between step count and pain levels (Preprint)

2020 ◽  
Author(s):  
Takahisa Ogawa ◽  
Luis Castelo-Branco ◽  
Chie Usui

BACKGROUND Chronic pain is the leading cause of disability, affecting nearly half of the global population. One of the recommended treatments for chronic pain is physical activity, which can be measured in daily life by a pedometer. However, low adherence to the pedometer use could result in incorrect measurements. Due to the ubiquitous use of smartphones, we developed the “Pain-Note” app to collect step count and moving distance. With the use of the Pain-Note app, we obtained the real-world information with a smartphone built-in pedometer and assessed the relationship between daily life step count and pain. OBJECTIVE The aim of our research is (1) to evaluate the association between the daily step count and pain level using a pedometer developed on the iPhone smartphone among patients with chronic pain, and (2) determine if the association between the daily step count and pain levels is curvilinear. METHODS We conducted cross-sectional research with data collected from the “Pain-Note” app on step count and questionnaires, including the duration and intensity of pain, the widespread pain index (WPI) and symptom severity score (SS score), the insomnia severity scale (ISS), and 7 questions for depressive symptoms. We analyzed the association between step count and pain levels considering a non-linear relationship using a restricted cubic spline model. RESULTS Between June 1, 2018 to June 11, 2020, a total of 6,138 records were identified and a total of 1,323 were analyzed. Participants in the 4th quartile (more than 5793 steps a day) had an increased number of step count significantly associated with less pain in numeric pain scale (mean difference, -0.38; 95%CI, -0.74- -0.02; P=.037), compared to the 1st quartile and the restricted cubic splines for the association between step count and pain scale displayed a steep decline followed by a moderate decrease as the step count increased. However, this association was not observed among those who met the fibromyalgia criteria. CONCLUSIONS Step count measured by the “Pain-Note”-based pedometer showed an association with pain levels with an inflection point among individuals with chronic pain, whereas among participants who met the fibromyalgia criteria there was no association. These findings suggest that participants who meet the criteria for fibromyalgia present a different response between walking and pain perception than those in the general chronic pain population.

10.2196/25591 ◽  
2021 ◽  
Vol 23 (6) ◽  
pp. e25591
Author(s):  
Mayank Sardana ◽  
Honghuang Lin ◽  
Yuankai Zhang ◽  
Chunyu Liu ◽  
Ludovic Trinquart ◽  
...  

Background When studied in community-based samples, the association of physical activity with blood pressure (BP) remains controversial and is perhaps dependent on the intensity of physical activity. Prior studies have not explored the association of smartwatch-measured physical activity with home BP. Objective We aimed to study the association of habitual physical activity with home BP. Methods Consenting electronic Framingham Heart Study (eFHS) participants were provided with a study smartwatch (Apple Watch Series 0) and Bluetooth-enabled home BP cuff. Participants were instructed to wear the watch daily and transmit BP values weekly. We measured habitual physical activity as the average daily step count determined by the smartwatch. We estimated the cross-sectional association between physical activity and average home BP using linear mixed effects models adjusting for age, sex, wear time, antihypertensive drug use, and familial structure. Results We studied 660 eFHS participants (mean age 53 years, SD 9 years; 387 [58.6%] women; 602 [91.2%] White) who wore the smartwatch 5 or more hours per day for 30 or more days and transmitted three or more BP readings. The mean daily step count was 7595 (SD 2718). The mean home systolic and diastolic BP (mmHg) were 122 (SD 12) and 76 (SD 8). Every 1000 increase in the step count was associated with a 0.49 mmHg lower home systolic BP (P=.004) and 0.36 mmHg lower home diastolic BP (P=.003). The association, however, was attenuated and became statistically nonsignificant with further adjustment for BMI. Conclusions In this community-based sample of adults, higher daily habitual physical activity measured by a smartwatch was associated with a moderate, but statistically significant, reduction in home BP. Differences in BMI among study participants accounted for the majority of the observed association.


2020 ◽  
Author(s):  
Jay Kim ◽  
Jeffrey Wensman ◽  
Natalie Colabianchi ◽  
Deanna Gates

Abstract Background: Powered prosthetic ankles provide battery-powered mechanical push-off, with the aim of reducing the metabolic demands of walking for people with transtibial amputations. The efficacy of powered ankles has been shown in active, high functioning individuals with transtibial amputation, but is less clear in other populations. Additionally, it is unclear how powered prosthetic use influences everyday physical activity and mobility.Methods: Individuals with unilateral transtibial amputations participated in a randomized clinical trial comparing their prescribed, unpowered prosthesis and the BiOM powered prosthesis. Participants’ metabolic costs and self-selected walking speeds were measured in the laboratory and daily step count, daily steps away from home, and walking speed were measured over two weeks of at-home prosthetic use. Participants also rated their perception of mobility and quality of life and provided free-form feedback. Dependent measures were compared between prostheses and the relationships between metabolic cost, perception of mobility, and characteristics of walking in daily life were explored using Pearson’s correlations.Results: Twelve people were randomly allocated to the powered prosthesis first (n = 7) or unpowered prosthesis first (n = 5) and ten completed the full study. There were no differences in metabolic costs (p = 0.585), daily step count (p = 0.995), walking speed (p ≥ 0.145), or perception of mobility between prostheses (p ≥ 0.058). Changes varied across participants, however. There were several medium- and large-sized effects for device comparisons. With the powered prosthesis, participants had decreased walking speeds in daily life (g = 0.310), increased self-reported ambulation (g = 0.682), and decreased frustration (g = 0.506). Greater preference for the powered prosthesis was moderately correlated with increased everyday walking speed (r = 0.636, p = 0.090).Conclusions: There were no universal benefits of the powered prosthesis on function in the lab or home environment. However, the effects were subject-specific, with some reporting preference for power and improved mobility, and some increasing their activity and decreasing their metabolic effort. Additionally, self-reported preferences did not often correlate with objective measures of function. This highlights the need for future clinical research to include both perception and objective measures to better inform prosthetic prescription.Trial registration: https://clinicaltrials.gov, #NCT02828982. Registered 12 July 2016, https://clinicaltrials.gov/ct2/show/NCT02828982


Author(s):  
Kade Birkeland ◽  
Raj M Khandwalla ◽  
Ilan Kedan ◽  
Chrisandra L Shufelt ◽  
Puja K Mehta ◽  
...  

Background: Since late Na channel inhibition (ranolazine) improves exercise duration in the stress laboratory among angina patients, we questioned if this benefit would translate to impact step-count during daily life assessed by a "wearable" device. Methods: We conducted a pilot substudy within a randomized, double-blinded, placebo-controlled, cross-over trial of subjects with angina, non-obstructive coronary artery disease and coronary microvascular dysfunction. Ranolazine was administered (500-1000mg BID for 2 weeks). The outcome of interest was difference in Fitbit Flex daily step-count during weeks 2 of ranolazine or placebo treatment. Other outcomes included angina, quality of life, ischemia, diastolic function. Results: 30 subjects were analyzed. Overall, late Na channel inhibition reduced daily step-count vs. placebo (5757 +/- 3076 vs. 6593 +/- 3393, p=0.01) and did not improve angina. However, among those with improved angina (SAQ-7 improvement), a direct correlation with increased step-count (0.42, p=0.02) was observed, most due to typical angina (0.57, p=0.05) (Fig). Conclusions: We report the "first" data set from a wearable monitor to measure step-count in a controlled late Na channel inhibition trial. Our results suggest short-term late Na channel inhibition (ranolazine) does not increase step-count during daily life.


2020 ◽  
Author(s):  
Mayank Sardana ◽  
Honghuang Lin ◽  
Yuankai Zhang ◽  
Chunyu Liu ◽  
Ludovic Trinquart ◽  
...  

BACKGROUND When studied in community-based samples, the association of physical activity with blood pressure (BP) remains controversial and is perhaps dependent on the intensity of physical activity. Prior studies have not explored the association of smartwatch-measured physical activity with home BP. OBJECTIVE We aimed to study the association of habitual physical activity with home BP. METHODS Consenting electronic Framingham Heart Study (eFHS) participants were provided with a study smartwatch (Apple Watch Series 0) and Bluetooth-enabled home BP cuff. Participants were instructed to wear the watch daily and transmit BP values weekly. We measured habitual physical activity as the average daily step count determined by the smartwatch. We estimated the cross-sectional association between physical activity and average home BP using linear mixed effects models adjusting for age, sex, wear time, antihypertensive drug use, and familial structure. RESULTS We studied 660 eFHS participants (mean age 53 years, SD 9 years; 387 [58.6%] women; 602 [91.2%] White) who wore the smartwatch 5 or more hours per day for 30 or more days and transmitted three or more BP readings. The mean daily step count was 7595 (SD 2718). The mean home systolic and diastolic BP (mmHg) were 122 (SD 12) and 76 (SD 8). Every 1000 increase in the step count was associated with a 0.49 mmHg lower home systolic BP (<i>P</i>=.004) and 0.36 mmHg lower home diastolic BP (<i>P</i>=.003). The association, however, was attenuated and became statistically nonsignificant with further adjustment for BMI. CONCLUSIONS In this community-based sample of adults, higher daily habitual physical activity measured by a smartwatch was associated with a moderate, but statistically significant, reduction in home BP. Differences in BMI among study participants accounted for the majority of the observed association.


2021 ◽  
pp. 174462952110334
Author(s):  
Brianne Tomaszewski ◽  
Melissa N Savage ◽  
Kara Hume

Adults with autism and co-occurring intellectual disability engage in low levels of physical activity and are at increased risk of developing secondary health conditions attributed to physical inactivity compared to adults in the general population. Few studies have examined the use of objective measures to characterize physical activity levels for adults with autism and intellectual disability. The current study aimed to examine the relationship between physical activity, using an activity tracker, and quality of life in adults with autism and intellectual disability. In the current study, 38 adults with autism and intellectual disability, ages 18–55, wore a Fitbit Flex 2® activity tracker for 1 week, and completed the Quality of Life Questionnaire. The relationship between average daily step count quality of life was examined. Most adults in the sample were overweight and taking fewer daily steps than recommended guidelines. Increased average daily step count was significantly associated with quality of life.


2020 ◽  
Vol 52 (7S) ◽  
pp. 420-420
Author(s):  
Sakura Koriyama ◽  
Susumu S. Sawada ◽  
Noriko Takeda ◽  
Dong Wang ◽  
Ryoko Kawakami ◽  
...  

Author(s):  
Jay Kim ◽  
Jeffrey Wensman ◽  
Natalie Colabianchi ◽  
Deanna H. Gates

Abstract Background Powered prosthetic ankles provide battery-powered mechanical push-off, with the aim of reducing the metabolic demands of walking for people with transtibial amputations. The efficacy of powered ankles has been shown in active, high functioning individuals with transtibial amputation, but is less clear in other populations. Additionally, it is unclear how use of a powered prosthesis influences everyday physical activity and mobility. Methods Individuals with unilateral transtibial amputations participated in a randomized clinical trial comparing their prescribed, unpowered prosthesis and the BiOM powered prosthesis. Participants’ metabolic costs and self-selected walking speeds were measured in the laboratory and daily step count, daily steps away from home, and walking speed were measured over two weeks of at-home prosthesis use. Participants also rated their perception of mobility and quality of life and provided free-form feedback. Dependent measures were compared between prostheses and the relationships between metabolic cost, perception of mobility, and characteristics of walking in daily life were explored using Pearson’s correlations. Results Twelve people were randomly allocated to the powered prosthesis first (n = 7) or unpowered prosthesis first (n = 5) and ten completed the full study. There were no differences in metabolic costs (p = 0.585), daily step count (p = 0.995), walking speed in-lab (p = 0.145) and in daily life (p = 0.226), or perception of mobility between prostheses (p ≥ 0.058). Changes varied across participants, however. There were several medium-sized effects for device comparisons. With the powered prosthesis, participants had increased self-reported ambulation (g = 0.682) and decreased frustration (g = 0.506). Conclusions There were no universal benefits of the powered prosthesis on function in the lab or home environment. However, the effects were subject-specific, with some reporting preference for power and improved mobility, and some increasing their activity and decreasing their metabolic effort. Additionally, self-reported preferences did not often correlate with objective measures of function. This highlights the need for future clinical research to include both perception and objective measures to better inform prosthetic prescription. Trial registration: https://clinicaltrials.gov, #NCT02828982. Registered 12 July 2016, https://clinicaltrials.gov/ct2/show/NCT02828982


2014 ◽  
Vol 33 (10) ◽  
pp. 1051-1057 ◽  
Author(s):  
Marieke De Craemer ◽  
Ellen De Decker ◽  
Ilse De Bourdeaudhuij ◽  
Maïté Verloigne ◽  
Yannis Manios ◽  
...  

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Seth S Martin ◽  
David I Feldman ◽  
Roger S Blumenthal ◽  
Steven R Jones ◽  
Wendy S Post ◽  
...  

Introduction: The recent advent of smartphone-linked wearable pedometers offers a novel opportunity to promote physical activity using mobile health (mHealth) technology. Hypothesis: We hypothesized that digital activity tracking and smart (automated, real-time, personalized) texting would increase physical activity. Methods: mActive (NCT01917812) was a 5-week, blinded, sequentially-randomized, parallel group trial that enrolled patients at an academic preventive cardiovascular center in Baltimore, MD, USA from January 17 th to May 20 th , 2014. Eligible patients were 18-69 year old smartphone users who reported low leisure-time physical activity by a standardized survey. After establishing baseline activity during a 1-week blinded run-in, we randomized 2:1 to unblinded or blinded tracking in phase I (2 weeks), then randomized unblinded participants 1:1 to receive or not receive smart texts in phase II (2 weeks). Smart texts provided automated, personalized, real-time coaching 3 times/day towards a daily goal of 10,000 steps. The primary outcome was change in daily step count. Results: Forty-eight patients (22 women, 26 men) enrolled with a mean (SD) age of 58 (8) years, body mass index of 31 (6), and baseline daily step count of 9670 (4350). The phase I change in activity was non-significantly higher in unblinded participants versus blinded controls by 1024 steps/day (95% CI -580-2628, p=0.21). In phase II, smart text receiving participants increased their daily steps over those not receiving texts by 2534 (1318-3750, p<0.001) and over blinded controls by 3376 (1951-4801, p<0.001). The unblinded-texts group had the highest proportion attaining the 10,000 steps/day goal (p=0.02) (Figure). Conclusions: In present-day adult smartphone users receiving preventive cardiovascular care in the United States, a technologically-integrated mHealth strategy combining digital tracking with automated, personalized, real-time text message coaching resulted in a large short-term increase in physical activity.


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