scholarly journals Use of Fitbit Devices in Physical Activity Intervention Studies across the Life Course: Narrative Review (Preprint)

10.2196/23411 ◽  
2020 ◽  
Author(s):  
Ruth Gaelle St Fleur ◽  
Sara Mijares St. George ◽  
Rafael Leite ◽  
Marissa Kobayashi ◽  
Yaray Agosto ◽  
...  
Keyword(s):  
Physical Activity ◽  
Life Course ◽  
Intervention Studies ◽  
Physical Activity Intervention ◽  
Narrative Review ◽  
The Life Course

scholarly journals Use of Fitbit Devices in Physical Activity Intervention Studies across the Life Course: A Review (Preprint)

2020 ◽  
Author(s):  
Ruth Gaelle St Fleur ◽  
Sara Mijares St. George ◽  
Rafael Leite ◽  
Marissa Kobayashi ◽  
Yaray Agosto ◽  
...  
Keyword(s):  
Life Course ◽  
Intervention Studies ◽  
Developmental Stages ◽  
Physical Activity Intervention ◽  
Developmentally Appropriate ◽  
Self Report ◽  
Research Library ◽  
Eligibility Criteria ◽  
Wear Time ◽  
The Life Course

BACKGROUND Commercial off-the-shelf activity trackers (e.g., Fitbit) allow users to self-monitor their daily activity, including number of steps, type of PA, and amount of sleep, among other features. Fitbits have been used as both measurement and intervention tools. However, it is not clear how they are being incorporated into PA intervention studies, and differences in use protocols across the life course (e.g., models, strategies to boost wear time) are not known. OBJECTIVE This paper aimed to review the use of Fitbit devices in PA intervention research across the life course in order to provide intervention scientists with a synthesis of information that may inform their future trials involving Fitbit devices. METHODS We conducted a search of the Fitabase Fitbit Research Library. Of the 682 studies available on the Fitabase Fitbit Research Library, 79 interventions met the eligibility criteria for this review and 44 were selected for inclusion, representing interventions conducted in childhood, adolescence, early, middle, and older adulthood. RESULTS Most studies used developmentally appropriate behavior change techniques and wear time instructions. Device wear instructions differed substantially across studies, ranging from a specific number of hours over a given assessment period to daily wear for the duration of the intervention. Strategies to boost wear time included daily reminders through texts and syncing Fitbit data. Minimum wear time criteria differed considerably, both within and between developmental stages. Additionally, rates of adherence to wear time criteria were reported using varying metrics. Most studies supplemented the use of Fitbits with additional objective or self-report measures for PA. CONCLUSIONS Future work should focus on developing standardized protocols for using commercially available devices, especially the most popular ones, in the context of research.

A life course approach for understanding later life sustainability

2017 ◽  
pp. 103-110
Author(s):  
Holly Syddall ◽  
Avan Aihie Sayer
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Life Course ◽  
Grip Strength ◽  
Optimal Strategies ◽  
Later Life ◽  
Present Evidence ◽  
Considerable Evidence ◽  
Life Course Approach ◽  
The Life Course

This chapter describes a life course approach for understanding later life sustainability, focusing on grip strength as a marker of physical sustainability, and explaining how a life course approach recognizes that muscle strength in later life reflects not only rate of loss in later life, but also the peak attained earlier in life. We present evidence that risk factors operating throughout the life course have an impact on physical sustainability in later life with particular consideration of the effects of body size, socioeconomic position, physical activity, diet, and smoking. We have shown that low birth weight is associated with weaker grip strength across the life course and that there is considerable evidence for developmental influences on ageing skeletal muscle. Finally, a life course approach suggests opportunities for early intervention to promote later life physical sustainability; but optimal strategies and timings for intervention are yet to be identified.

Physical Activity: An Underestimated Investment in Human Capital?

2013 ◽  
Vol 10 (3) ◽  
pp. 289-308 ◽  
Author(s):  
Richard Bailey ◽  
Charles Hillman ◽  
Shawn Arent ◽  
Albert Petitpas
Keyword(s):  
Physical Activity ◽  
Human Capital ◽  
Life Course ◽  
Human Development ◽  
Well Being ◽  
Domain Specific ◽  
Capital Growth ◽  
To Come ◽  
Healthy Functioning ◽  
The Life Course

Despite the fact that physical activity is universally acknowledged to be an important part of healthy functioning and well-being, the full scope of its value is rarely appreciated. This article introduces a novel framework for understanding the relationships between physical activity (and specifically sport-related forms of physical activity) and different aspects of human development. It proposes that the outcomes of physical activity can be framed as differential ‘capitals’ that represent investments in domain-specific assets: Emotional, Financial, Individual, Intellectual, Physical, and Social. These investments, especially when made early in the life course, can yield significant rewards, both at that time and for years to come. The paper presents a new model—the Human Capital Model—that makes sense of these effects, outlines the different capitals, and briefly articulates the conditions necessary for the realization of Human Capital growth through physical activity.

Moderate-to-vigorous intensity physical activity across the life course and risk of pre- and post-menopausal breast cancer

2013 ◽  
Vol 139 (3) ◽  
pp. 851-861 ◽  
Author(s):  
Lindsay C. Kobayashi ◽  
Ian Janssen ◽  
Harriet Richardson ◽  
Agnes S. Lai ◽  
John J. Spinelli ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Physical Activity ◽  
Life Course ◽  
Intensity Physical Activity ◽  
Vigorous Intensity ◽  
Post Menopausal ◽  
The Life Course

Life Cycle Patterns of Physical Activity among Sedentary and Active Older Women

1995 ◽  
Vol 3 (4) ◽  
pp. 340-359 ◽  
Author(s):  
Sandra O’Briem Cousins ◽  
Norah Keating
Keyword(s):  
Physical Activity ◽  
Life Cycle ◽  
Life Course ◽  
Older Women ◽  
Elderly Women ◽  
Life Course Perspective ◽  
Time Activity ◽  
Health Promoting ◽  
The Life Course ◽  
Life Cycle Patterns

Federal studies report that health-promoting physical activity declines markedly over the life course, so that by late life, about half of Canadian elderly women are sedentary. Although some older women are engaged in optimal levels of exercise, others develop lifestyles that are generally sedentary. This divergence of women's pursuit of leisure-time activity requires examination. Focus groups with active and sedentary older women were conducted to explore the variability Of participation in health-promoting forms of physical activity over the life course. The life course perspective of Bengston and Allen (1993) provided a framework for the investigation of the life cycle patterns of these women. Although life stages and life events of these women were similar, the pathways of coping with life challenges differed between the two groups. Content analysis highlighted the importance of turning points that led women to either significantly increase or decrease physical activity.

scholarly journals Latent class growth modelling for the evaluation of intervention outcomes: example from a physical activity intervention

2021 ◽  
Author(s):  
Anna-Maria Lampousi ◽  
Jette Möller ◽  
Yajun Liang ◽  
Daniel Berglind ◽  
Yvonne Forsell
Keyword(s):  
Physical Activity ◽  
Latent Class ◽  
Intervention Studies ◽  
Physical Activity Intervention ◽  
Controlled Trial ◽  
Vigorous Physical Activity ◽  
Mobile App ◽  
Growth Modelling ◽  
Significant Difference ◽  
Latent Class Growth

AbstractIntervention studies often assume that changes in an outcome are homogenous across the population, however this assumption might not always hold. This article describes how latent class growth modelling (LCGM) can be performed in intervention studies, using an empirical example, and discusses the challenges and potential implications of this method. The analysis included 110 young adults with mobility disability that had participated in a parallel randomized controlled trial and received either a mobile app program (n = 55) or a supervised health program (n = 55) for 12 weeks. The primary outcome was accelerometer measured moderate to vigorous physical activity (MVPA) levels in min/day assessed at baseline, 6 weeks, 12 weeks, and 1-year post intervention. The mean change of MVPA from baseline to 1-year was estimated using paired t-test. LCGM was performed to determine the trajectories of MVPA. Logistic regression models were used to identify potential predictors of trajectories. There was no significant difference between baseline and 1-year MVPA levels (4.8 min/day, 95% CI: −1.4, 10.9). Four MVPA trajectories, ‘Normal/Decrease’, ‘Normal/Increase’, ‘Normal/Rapid increase’, and ‘High/Increase’, were identified through LCGM. Individuals with younger age and higher baseline MVPA were more likely to have increasing trajectories of MVPA. LCGM uncovered hidden trajectories of physical activity that were not represented by the average pattern. This approach could provide significant insights when included in intervention studies. For higher accuracy it is recommended to include larger sample sizes.

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