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Related Concept Videos

Pulse rhythm01:30

Pulse rhythm

Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac muscle...

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Effects of Self-Monitoring Physical Activity Using Technology in Primary Care: A Pilot Intervention.

Wanda L Csaky1, Louise H Knox2, Ashley Helvig Coombe3

  • 1Emory University, Atlanta, GA wcsaky@emory.edu.

Journal of Doctoral Nursing Practice
|August 4, 2021
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Summary

A pilot study found that clinician-guided physical activity (PA) self-monitoring using a smartphone app was acceptable for obese adults. While not statistically significant, the intervention showed positive trends in improving PA and BMI.

Keywords:
accelerometerphysical activityself-efficacyself-monitoring

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Area of Science:

  • Health Technology
  • Obesity Research
  • Preventive Medicine

Background:

  • Physical activity (PA) is crucial for chronic disease prevention, but adherence is low among US adults.
  • Obesity remains a significant public health concern, necessitating effective interventions.
  • Technology-assisted self-monitoring offers a potential avenue to improve PA levels.

Purpose of the Study:

  • To assess the feasibility and acceptability of a technology-based PA self-monitoring intervention.
  • To evaluate the impact of this intervention on PA, BMI, and self-efficacy in obese primary care patients.

Main Methods:

  • Prospective, single-group, pretest/posttest design over 6 months.
  • Utilized accelerometers and a smartphone app for PA monitoring.
  • Collected demographic, PA, BMI, and self-efficacy for exercise (SEE) data.

Main Results:

  • Observed gradual improvements in PA and BMI, though not statistically significant at 6 months (p > .130).
  • Found a strong negative correlation between PA and BMI (r = -0.727, p < .01).
  • Anecdotal evidence suggested high patient acceptability of the smartphone app.

Conclusions:

  • Clinician-initiated PA self-monitoring via smartphone app is acceptable and demonstrates favorable trends in obese adults.
  • Technology-driven PA interventions show promise for implementation in primary care settings.
  • Further research is warranted to optimize and validate these digital health tools.