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In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
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Recruitment for exercise or physical activity interventions: a protocol for systematic review.

Jeffrey C Hoover1, Aqeel M Alenazi1,2, Shaima Alothman1

  • 1Department of Physical Therapy and Rehabilitation Science, University of Kansas Medical Center, Kansas City, Kansas, USA.

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Summary

This systematic review analyzes factors influencing participant recruitment in exercise and physical activity trials. Understanding these factors, including methodology and demographics, can improve future study designs and recruitment strategies.

Keywords:
participant recruitmentphysical activity and exerciseprotocolquantitative reviewsystematic review

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Area of Science:

  • Clinical Research
  • Exercise Science
  • Public Health

Background:

  • Participant recruitment is crucial for advancing scientific knowledge through clinical research.
  • Recruiting for exercise and physical activity interventions presents unique challenges due to significant time and effort commitments.
  • Existing research lacks a comprehensive analysis of factors affecting recruitment in these specific populations.

Purpose of the Study:

  • To systematically review and analyze how methodological factors, intervention characteristics, and participant demographics impact recruitment rates in physical activity research.
  • To identify key elements that enhance or hinder participant enrollment in exercise intervention studies.
  • To provide evidence-based recommendations for improving recruitment strategies in future physical activity research.

Main Methods:

  • A mixed methods systematic review will be conducted.
  • Literature searches will be performed in PubMed, CINAHL, and ORRCT databases up to February 10, 2017.
  • Data extraction and methodological quality assessment will be followed by exploratory multivariate regression analysis.

Main Results:

  • The review will identify and quantify the impact of various factors on recruitment rates.
  • Specific methodological approaches, intervention designs, and participant characteristics associated with higher recruitment will be highlighted.
  • Regression models will elucidate the relationships between identified factors and recruitment success.

Conclusions:

  • The findings will offer valuable insights for optimizing participant recruitment in exercise and physical activity trials.
  • Improved recruitment strategies can accelerate the pace of scientific discovery in this field.
  • This systematic review aims to enhance the efficiency and effectiveness of clinical trial recruitment.