scholarly journals Combining Activity Trackers With Motivational Interviewing and Mutual Support to Increase Physical Activity in Parent-Adolescent Dyads: Longitudinal Observational Feasibility Study

2017 ◽  
Author(s):  
Josette Bianchi-Hayes ◽  
Elinor Schoenfeld ◽  
Rosa Cataldo ◽  
Wei Hou ◽  
Catherine Messina ◽  
...  
Keyword(s):  
Physical Activity ◽  
Motivational Interviewing ◽  
Feasibility Study ◽  
Mutual Support ◽  
Activity Trackers

scholarly journals Evaluating Motivational Interviewing and Habit Formation to Enhance the Effect of Activity Trackers on Healthy Adults’ Activity Levels: Randomized Intervention (Preprint)

2018 ◽  
Author(s):  
Laura D Ellingson ◽  
Jeni E Lansing ◽  
Kathryn J DeShaw ◽  
Karissa L Peyer ◽  
Yang Bai ◽  
...  
Keyword(s):  
Physical Activity ◽  
Behavior Change ◽  
Motivational Interviewing ◽  
Vigorous Physical Activity ◽  
Healthy Adults ◽  
Activity Levels ◽  
Regression Analyses ◽  
Sedentary Behaviors ◽  
Wear Time ◽  
Activity Trackers

BACKGROUND While widely used and endorsed, there is limited evidence supporting the benefits of activity trackers for increasing physical activity; these devices may be more effective when combined with additional strategies that promote sustained behavior change like motivational interviewing (MI) and habit development. OBJECTIVE This study aims to determine the utility of wearable activity trackers alone or in combination with these behavior change strategies for promoting improvements in active and sedentary behaviors. METHODS A sample of 91 adults (48/91 female, 53%) was randomized to receive a Fitbit Charge alone or in combination with MI and habit education for 12 weeks. Active and sedentary behaviors were assessed pre and post using research-grade activity monitors (ActiGraph and activPAL), and the development of habits surrounding the use of the trackers was assessed postintervention with the Self-Reported Habit Index. During the intervention, Fitbit wear time and activity levels were monitored with the activity trackers. Linear regression analyses were used to determine the influence of the trial on outcomes of physical activity and sedentary time. The influence of habits was examined using correlation coefficients relating habits of tracker use (wearing the tracker and checking data on the tracker and associated app) to Fitbit wear time and activity levels during the intervention and at follow-up. RESULTS Regression analyses revealed no significant differences by group in any of the primary outcomes (all P>.05). However, personal characteristics, including lower baseline activity levels (beta=–.49, P=.01) and lack of previous experience with pedometers (beta=–.23, P=.03) were predictive of greater improvements in moderate and vigorous physical activity. Furthermore, for individuals with higher activity levels at the baseline, MI and habit education were more effective for maintaining these activity levels when compared with receiving a Fitbit alone (eg, small increase of ~48 steps/day, d=0.01, vs large decrease of ~1830 steps/day, d=0.95). Finally, habit development was significantly related to steps/day during (r=.30, P=.004) and following the intervention (r=.27, P=.03). CONCLUSIONS This study suggests that activity trackers may have beneficial effects on physical activity in healthy adults, but benefits vary based on individual factors. Furthermore, this study highlights the importance of habit development surrounding the wear and use of activity trackers and the associated software to promote increases in physical activity. CLINICALTRIAL ClinicalTrials.gov NCT03837366; https://clinicaltrials.gov/ct2/show/NCT03837366

scholarly journals P59 Monitoring the recovery time of children after elective tonsillectomies using commercial activity trackers, an prospective feasibility study

2019 ◽  
Vol 104 (6) ◽  
pp. e41.2-e42
Author(s):  
PIP Lambrechtse ◽  
VC Ziesenitz ◽  
A Atkinson ◽  
EJ Bos ◽  
T Welzel ◽  
...  
Keyword(s):  
Physical Activity ◽  
Feasibility Study ◽  
Recovery Time ◽  
List Type ◽  
Age Group ◽  
Validity And Reliability ◽  
Open Label ◽  
Activity Data ◽  
Activity Trackers ◽  
Wearable Activity Trackers

IntroductionWearable activity trackers are increasingly incorporated into daily life and are advancing in their technology in means of accuracy, validity and acceptability,1-6 however there is deficient knowledge on using these devices in a paediatric setting. The objective of this pilot study was to assess the feasibility of physical activity tracking in children7 before and after a standardized surgical intervention and to assess the recovery time after surgery.MethodsThis was a single centre, open-label, prospective feasibility study. We aimed at recruiting 24 children and adolescents 4–16 years of age undergoing elective tonsillectomy. The preoperative period was 10 days before surgery and the postoperative period was 28 days. Activity data were gathered with activity trackers.8 Reference activity was defined as the individual mean of daily steps preoperatively. Recovery time was defined as the number of days that the patient needed to reach reference activity postoperatively. The population was stratified according to age (4–7, 8–16 years).ResultsTwelve male and twelve female patients participated (mean age 6yr, mean BMI percentile 44.7). The age group 4–7 years had a mean recovery time of 11.2 days (SD 5.0) compared to 8.3 days (SD 1.7) in the age group 8–16. The difference was 2.9 days. The tracker datasets were 58% complete. The rate of technical failures of the trackers was 29.2% for the total study period.ConclusionsActivity trackers are a potential tool viable to assess recovery time after surgery in children. Recovery time after tonsillectomy seems to be age-dependent with older children recovering faster. For future studies, we recommend using trackers as a part of assessing physical activity as a parameter of general wellbeing of child during or after an intervention. Using wearable activity trackers is a more modern and appropriate method to assess physical activity,9-14 especially in a paediatric population.ReferencesBrooke SM, An HS, Kang SK, Noble JM, Berg KE, Lee JM. Concurrent validity of wearable activity trackers under free-living conditions. J Strength Cond Res 2017;31(4).Fokkema T, Kooiman TJM, Krijnen WP, Van Der Schans CP, De Groot M. Reliability and validity of ten consumer activity trackers depend on walking speed. Med Sci Sports Exerc. 2017;49(4).Evenson KR, Goto MM, Furberg RD. Systematic review of the validity and reliability of consumer-wearable activity trackers. Vol. 12, International Journal of Behavioral Nutrition and Physical Activity 2015.Huang Y, Xu J, Yu B, Shull PB. Validity of FitBit, Jawbone UP, Nike+ and other wearable devices for level and stair walking. Gait Posture 2016;Hein IM, Troost PW, De Vries MC, Knibbe CAJ, Van Goudoever JB, Lindauer RJL. Why do children decide not to participate in clinical research: A quantitative and qualitative study. Pediatr Res 2015;Van Berge Henegouwen MTH, Van Driel HF, Kasteleijn-Nolst Trenité DGA. A patient diary as a tool to improve medicine compliance. Pharm World Sci 1999;21(1):21–4.Stone AA. Patient non-compliance with paper diaries. BMJ 2002;Disclosure(s)Nothing to disclose

scholarly journals Group Outdoor Health Walks Using Activity Trackers: Measurement and Implementation Insight from a Mixed Methods Feasibility Study

2020 ◽  
Vol 17 (7) ◽  
pp. 2515 ◽  
Author(s):  
Katherine N. Irvine ◽  
Melissa R. Marselle ◽  
Alan Melrose ◽  
Sara L. Warber
Keyword(s):  
Physical Activity ◽  
Mixed Methods ◽  
Feasibility Study ◽  
Large Scale ◽  
Holistic Health ◽  
Physical Activity Guidelines ◽  
Health And Wellbeing ◽  
Activity Trackers ◽  
Outdoor Walking ◽  
Programme Delivery

Outdoor walking groups are nature-based interventions (NBIs) that promote health and wellbeing by modifying individual behaviour. The challenges of such NBIs include the motivation of inactive adults to participate and measurement issues. This feasibility study investigates a 12-week group outdoor health walk (GOHW) incorporating activity trackers and use of a holistic health and wellbeing measure, the Self-sasessment of Change (SAC) scale. A mixed methods design explored participant recruitment and retention, programme delivery, and measures of physical activity and health and wellbeing. Walker data included: pre-post questionnaires, daily step counts, and interviews. Programme delivery information included: weekly checklists, staff reflections, stakeholder meeting minutes, and a report. Thirteen adults (age 63–81, 76% female) joined and completed the activity tracker GOHW. Activity trackers motivated walkers to join and be more active but complicated programme delivery. Activity trackers allowed the quantification of physical activity and the SAC health and wellbeing measure was easy to use. By week 12, all participants met national physical activity guidelines. Clinically relevant changes on the SAC scale included: sleeping well, experiencing vibrant senses, and feeling energised, focused, joyful, calm and whole. Results illustrate the feasibility of using activity trackers to motivate engagement in and provide a measure of physical activity from GOHWs. The SAC scale offers a promising measure for nature–health research. A conceptual model is provided for the development of future large-scale studies of NBIs, such as group outdoor health walks.

Physical Activity Trackers in Combination with Motivational Interviewing to Increase Activity

2017 ◽  
Vol 49 (5S) ◽  
pp. 495
Author(s):  
Maria Perez ◽  
Laura Ellingson ◽  
Yang Bai ◽  
Karissa Peyer ◽  
Gregory Welk
Keyword(s):  
Physical Activity ◽  
Motivational Interviewing ◽  
Activity Trackers

scholarly journals Effects of an Activity Tracker and App Intervention to Increase Physical Activity in Whole Families—The Step It Up Family Feasibility Study

2020 ◽  
Vol 17 (20) ◽  
pp. 7655
Author(s):  
Stephanie Schoeppe ◽  
Jo Salmon ◽  
Susan L. Williams ◽  
Deborah Power ◽  
Stephanie Alley ◽  
...  
Keyword(s):  
Physical Activity ◽  
Feasibility Study ◽  
Text Messages ◽  
Post Intervention ◽  
Physical Activity Guidelines ◽  
Mothers And Fathers ◽  
Activity Tracker ◽  
Activity Trackers ◽  
Family Program ◽  
The Mean

(1) Background: Interventions using activity trackers and smartphone apps have demonstrated their ability to increase physical activity in children and adults. However, they have not been tested in whole families. Further, few family-centered interventions have actively involved both parents and assessed physical activity effects separately for children, mothers and fathers. Objective: To examine the feasibility and short-term effects of an activity tracker and app intervention to increase physical activity in the whole family (children, mothers and fathers). (2) Methods: This was a single-arm feasibility study with pre-post intervention measures. Between 2017–2018, 40 families (58 children aged 6–10 years, 39 mothers, 33 fathers) participated in the 6-week Step it Up Family program in Queensland, Australia. Using commercial activity trackers combined with apps (Garmin Vivofit Jr for children, Vivofit 3 for adults; Garmin Australasia Pty Ltd., Sydney, Australia), the intervention included individual and family-level goal-setting, self-monitoring, performance feedback, family step challenges, family social support and modelling, weekly motivational text messages and an introductory session. Parent surveys were used to assess physical activity effects measured as pre-post intervention changes in moderate-to-vigorous physical activity (MVPA) in children, mothers and fathers. Objective Garmin activity tracker data was recorded to assess physical activity levels (steps, active minutes) during the intervention. (3) Results: Thirty-eight families completed the post intervention survey (95% retention). At post intervention, MVPA had increased in children by 58 min/day (boys: 54 min/day, girls: 62 min/day; all p < 0.001). In mothers, MVPA increased by 27 min/day (p < 0.001) and in fathers, it increased by 31 min/day (p < 0.001). The percentage of children meeting Australia’s physical activity guidelines for children (≥60 MVPA min/day) increased from 34% to 89% (p < 0.001). The percentage of mothers and fathers meeting Australia’s physical activity guidelines for adults (≥150 MVPA min/week) increased from 8% to 57% (p < 0.001) in mothers and from 21% to 68% (p < 0.001) in fathers. The percentage of families with ‘at least one child and both parents’ meeting the physical activity guidelines increased from 0% to 41% (p < 0.001). Objective activity tracker data recorded during the intervention showed that the mean (SD) number of active minutes per day in children was 82.1 (17.1). Further, the mean (SD) steps per day was 9590.7 (2425.3) in children, 7397.5 (1954.2) in mothers and 8161.7 (3370.3) in fathers. (4) Conclusions: Acknowledging the uncontrolled study design, the large pre-post changes in MVPA and rather high step counts recorded during the intervention suggest that an activity tracker and app intervention can increase physical activity in whole families. The Step it Up Family program warrants further efficacy testing in a larger, randomized controlled trial.

scholarly journals Effects of Physical Activity Trackers and Motivational Interviewing on Mood in Chronic Low Back Pain

2018 ◽  
Vol 50 (5S) ◽  
pp. 757-758
Author(s):  
Maria Perez ◽  
Laura D. Ellingson ◽  
Jeni E. Lansing ◽  
Kathryn J. Southard ◽  
Jacob D. Meyer ◽  
...  
Keyword(s):  
Physical Activity ◽  
Low Back Pain ◽  
Back Pain ◽  
Motivational Interviewing ◽  
Chronic Low Back Pain ◽  
Low Back ◽  
Activity Trackers

The impact of participant pathways on the effectiveness of a community-based physical activity intervention grounded in motivational interviewing

2020 ◽  
Author(s):  
Matthew Wade ◽  
Nicola Brown ◽  
James Steele ◽  
Steven Mann ◽  
Bernadette Dancy ◽  
...  
Keyword(s):  
Physical Activity ◽  
Primary Care ◽  
Motivational Interviewing ◽  
Social Action ◽  
Multilevel Models ◽  
Physical Activity Intervention ◽  
Mental Wellbeing ◽  
Community Based ◽  
The Impact ◽  
Time Point

Background: Brief advice is recommended to increase physical activity (PA) within primary care. This study assessed change in PA levels and mental wellbeing after a motivational interviewing (MI) community-based PA intervention and the impact of signposting [SP] and Social Action [SA] (i.e. weekly group support) pathways. Methods: Participants (n=2084) took part in a community-based, primary care PA programme using MI techniques. Self-reported PA and mental wellbeing data were collected at baseline (following an initial 30-minute MI appointment), 12-weeks, six-months, and 12-months. Participants were assigned based upon the surgery they attended to the SP or SA pathway. Multilevel models were used to derive point estimates and 95%CIs for outcomes at each time point and change scores. Results: Participants increased PA and mental wellbeing at each follow-up time point through both participant pathways and with little difference between pathways. Retention was similar between pathways at 12-weeks, but the SP pathway retained more participants at six-months and 12-months. Conclusions: Both pathways produced similar improvements in PA and mental wellbeing, suggesting the effectiveness of MI based PA interventions. However, due to lower resources required yet similar effects, SP pathways are recommended over SA to support PA in primary care settings.

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