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<records>
  <record>
    <language>eng</language>
    <publisher>Science and Education Publishing</publisher>
    <journalTitle>Journal of Physical Activity Research</journalTitle>
    <eissn>2574-4437</eissn>
    <publicationDate>2023-09-12</publicationDate>
    <volume>8</volume>
    <issue>1</issue>
    <startPage>52</startPage>
    <endPage>55</endPage>
    <doi>10.12691/jpar-8-1-9</doi>
    <publisherRecordId>JPAR2023819</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">Proposed Analytical Method for Assessing Individual Benefit: a Case Study</title>
    <authors>
      <author>
        <name>John Hart DC MHSc</name>
        <email>jhartec@yahoo.com</email>
        <affiliationId>1</affiliationId>
      </author>
    </authors>
    <affiliationsList>
      <affiliationName affiliationId="1">Hart Chiropractic, Greenville, South Carolina</affiliationName>
    </affiliationsList>
    <abstract language="eng">Exercise often improves health status as evidenced by improvements in physiological measures such as heart rate variability.  With modern technology, such as heart rate apps for smartphones, an individual can track his or her own data on a daily basis. They may also go a step further and enter their data into a spreadsheet for further analysis. In this way they can study their own data, e.g., when a change in training occurs, to see if there is a benefit following the change. The present case study provides an example of how the approach can be used.</abstract>
    <fullTextUrl format="pdf">http://pubs.sciepub.com/jpar/8/1/9/jpar-8-1-9.pdf</fullTextUrl>
    <keywords language="eng">
      <keyword>Exercise</keyword>
      <keyword>heart rate variability</keyword>
      <keyword>self-measurement</keyword>
      <keyword>health</keyword>
    </keywords>
  </record>
</records>