Recovery of physical activity levels in adolescents after lower limb fractures: a longitudinal, accelerometry-based activity monitor study

Background Low physical activity levels can negatively affect the health of nurses. Given the low physical activity levels reported by nurses, there is a clear need for brief and economical interventions designed to increase physical activity levels in this population. We developed a web-based intervention that used motivational strategies to increase nurses’ physical activity levels. The intervention provided the nurses with feedback from an activity monitor coupled with a web-based individual, friend, or team physical activity challenge. Objective In this parallel-group randomized trial, we examine whether nurses’ motivation at baseline predicted changes in objectively measured physical activity levels during the 6-week intervention. Methods The participants were 76 nurses (n=74, 97% female; mean age 46, SD 11 years) randomly assigned to 1 of 3 physical activity challenge conditions: (1) individual, (2) friend, or (3) team. The nurses completed a web-based questionnaire designed to assess motivational regulations for physical activity levels before the intervention and wore a Tractivity activity monitor before and during the 6-week intervention. We analyzed data using multilevel modeling for repeated measures. Results The nurses’ physical activity levels increased (linear estimate=10.30, SE 3.15; P=.001), but the rate of change decreased over time (quadratic estimate=−2.06, SE 0.52; P<.001). External and identified regulations (ß=−2.08 to 11.55; P=.02 to .04), but not intrinsic and introjected regulations (ß=−.91 to 6.29; P=.06 to .36), predicted changes in the nurses’ physical activity levels. Conclusions Our findings provide evidence that an intervention that incorporates self-monitoring and physical activity challenges can be generally effective in increasing nurses’ physical activity levels in the short term. They also suggest that drawing solely on organismic integration theory to predict changes in physical activity levels among the nurses participating in web-based worksite interventions may have been insufficient. Future research should examine additional personal (eg, self-efficacy) and occupational factors (eg, shift length and shift type) that influence physical activity levels to identify potential targets for intervention among nurses. Trial Registration ClinicalTrials.gov NCT04524572; https://clinicaltrials.gov/ct2/show/NCT04524572

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The efficacy of a multimodal physical activity intervention with supervised exercises, health coaching and an activity monitor on physical activity levels of patients with chronic, nonspecific low back pain (Physical Activity for Back Pain (PAyBACK) trial): study protocol for a randomised controlled trial

Trials ◽

10.1186/s13063-017-2436-z ◽

2018 ◽

Vol 19 (1) ◽

Cited By ~ 5

Author(s):

Crystian B. Oliveira ◽

Márcia R. Franco ◽

Chris G. Maher ◽

Anne Tiedemann ◽

Fernanda G. Silva ◽

...

Keyword(s):

Physical Activity ◽

Low Back Pain ◽

Back Pain ◽

Physical Activity Intervention ◽

Controlled Trial ◽

Activity Monitor ◽

Activity Levels ◽

Low Back ◽

Physical Activity Levels ◽

Randomised Controlled

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Motivation Predicts Change in Nurses’ Physical Activity Levels During a Web-Based Worksite Intervention: Results From a Randomized Trial (Preprint)

10.2196/preprints.11543 ◽

2018 ◽

Author(s):

Jennifer Brunet ◽

Heather E Tulloch ◽

Emily Wolfe Phillips ◽

Robert D Reid ◽

Andrew L Pipe ◽

...

Keyword(s):

Physical Activity ◽

Randomized Trial ◽

Repeated Measures ◽

Activity Monitor ◽

Rate Of Change ◽

Integration Theory ◽

Activity Levels ◽

Web Based ◽

Group Randomized Trial ◽

Physical Activity Levels

BACKGROUND Low physical activity levels can negatively affect the health of nurses. Given the low physical activity levels reported by nurses, there is a clear need for brief and economical interventions designed to increase physical activity levels in this population. We developed a web-based intervention that used motivational strategies to increase nurses’ physical activity levels. The intervention provided the nurses with feedback from an activity monitor coupled with a web-based individual, friend, or team physical activity challenge. OBJECTIVE In this parallel-group randomized trial, we examine whether nurses’ motivation at baseline predicted changes in objectively measured physical activity levels during the 6-week intervention. METHODS The participants were 76 nurses (n=74, 97% female; mean age 46, SD 11 years) randomly assigned to 1 of 3 physical activity challenge conditions: (1) individual, (2) friend, or (3) team. The nurses completed a web-based questionnaire designed to assess motivational regulations for physical activity levels before the intervention and wore a Tractivity activity monitor before and during the 6-week intervention. We analyzed data using multilevel modeling for repeated measures. RESULTS The nurses’ physical activity levels increased (linear estimate=10.30, SE 3.15; P=.001), but the rate of change decreased over time (quadratic estimate=−2.06, SE 0.52; P<.001). External and identified regulations (ß=−2.08 to 11.55; P=.02 to .04), but not intrinsic and introjected regulations (ß=−.91 to 6.29; P=.06 to .36), predicted changes in the nurses’ physical activity levels. CONCLUSIONS Our findings provide evidence that an intervention that incorporates self-monitoring and physical activity challenges can be generally effective in increasing nurses’ physical activity levels in the short term. They also suggest that drawing solely on organismic integration theory to predict changes in physical activity levels among the nurses participating in web-based worksite interventions may have been insufficient. Future research should examine additional personal (eg, self-efficacy) and occupational factors (eg, shift length and shift type) that influence physical activity levels to identify potential targets for intervention among nurses. CLINICALTRIAL ClinicalTrials.gov NCT04524572; https://clinicaltrials.gov/ct2/show/NCT04524572

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Effects of a long-term exercise program on lower limb mobility, physiological responses, walking performance, and physical activity levels in patients with peripheral arterial disease

Journal of Vascular Surgery ◽

10.1016/j.jvs.2007.10.038 ◽

2008 ◽

Vol 47 (2) ◽

pp. 303-309 ◽

Cited By ~ 65

Author(s):

Robert G. Crowther ◽

Warwick L. Spinks ◽

Anthony S. Leicht ◽

Kunwarjit Sangla ◽

Frank Quigley ◽

...

Keyword(s):

Physical Activity ◽

Lower Limb ◽

Physiological Responses ◽

Exercise Program ◽

Arterial Disease ◽

Activity Levels ◽

Physical Activity Levels ◽

Walking Performance ◽

Peripheral Arterial

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Activity monitor use among persons with multiple sclerosis: Report on rate, pattern, and association with physical activity levels

Multiple Sclerosis Journal - Experimental Translational and Clinical ◽

10.1177/2055217319887986 ◽

2019 ◽

Vol 5 (4) ◽

pp. 205521731988798

Author(s):

Stephanie L Silveira ◽

Robert W Motl

Keyword(s):

Physical Activity ◽

Multiple Sclerosis ◽

Activity Monitor ◽

Activity Levels ◽

Physical Activity Levels

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Physical activity dimensions after stroke: patterns and relation with lower limb motor function

Journal of NeuroEngineering and Rehabilitation ◽

10.1186/s12984-021-00960-x ◽

2021 ◽

Vol 18 (1) ◽

Author(s):

Hanneke E. M. Braakhuis ◽

Monique A. M. Berger ◽

Ruben G. R. H. Regterschot ◽

Erwin E. H. van Wegen ◽

Ruud W. Selles ◽

...

Keyword(s):

Physical Activity ◽

Motor Function ◽

Lower Limb ◽

Inpatient Rehabilitation ◽

Individual Variability ◽

Motor Recovery ◽

Stroke Survivors ◽

Activity Levels ◽

Significant Interaction Effect ◽

Physical Activity Levels

Abstract Background Stroke survivors show deteriorated physical functioning and physical activity levels. Physical activity levels of stroke survivors are generally low. It is increasingly recognized that physical activity is a multidimensional construct that cannot be captured in a single outcome. In-depth insight into multidimensional physical activity patterns may guide the development and timing of targeted rehabilitation interventions. This longitudinal cohort study explored how multidimensional physical activity outcomes develop during recovery in the subacute phase after stroke and if changes in physical activity were correlated to recovery of lower limb motor function. Methods Patients were recruited during inpatient rehabilitation. At 3, 12, and 26 weeks post-onset, motor function was measured by the Fugl-Meyer Lower Extremity Assessment (FMA-LE). Physical activity was measured with the Activ8 accelerometer in multiple outcomes: counts per minute during walking (CPMwalking; a measure of Intensity), number of active bouts (Frequency), mean length of active bouts (Distribution) and % of waking time in upright positions (Duration). Generalized estimating equations (GEE) were used to study changes in physical activity over time and the relation with the change in lower limb motor recovery. Results Thirty-nine patients (age 56 ± 9, 77% male, 89% ischemic stroke) were included. GEE models showed a significant main effect of time for PA Intensity (+ 13%, p = 0.007) and Duration (+ 64%, p = 0.012) between 3 and 12 weeks. Motor function did not show a significant effect in all PA models across the 3 timepoints (p > 0.020). A significant interaction effect of time × motor function was observed (p < 0.001). Conclusions Patterns of PA recovery depend on the PA dimensions: PA Intensity and Duration increased mostly between 3 and 12 weeks post-stroke, whereas Frequency and Distribution did not show substantial changes. Further, no strong associations with motor recovery and high inter-individual variability were documented, which underlies the need to consider factors specific to the disease, the individual patient and the context.

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