﻿<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>Tabriz University of Medical Sciences</PublisherName>
      <JournalTitle>Health Promotion Perspectives</JournalTitle>
      <Issn>2228-6497</Issn>
      <Volume>13</Volume>
      <Issue>4</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2023</Year>
        <Month>12</Month>
        <DAY>16</DAY>
      </PubDate>
    </Journal>
    <ArticleTitle>Relationships between physical activity and other health-related measures using state-based prevalence estimates</ArticleTitle>
    <FirstPage>308</FirstPage>
    <LastPage>315</LastPage>
    <ELocationID EIdType="doi">10.34172/hpp.2023.36</ELocationID>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName>Peter D.</FirstName>
        <LastName>Hart</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0002-4947-9310</Identifier>
      </Author>
      <Author>
        <FirstName>Nestor</FirstName>
        <LastName>Asiamah</LastName>
      </Author>
      <Author>
        <FirstName>Getu</FirstName>
        <LastName>Teferi</LastName>
      </Author>
      <Author>
        <FirstName>Ivan</FirstName>
        <LastName>Uher</LastName>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <ArticleIdList>
      <ArticleId IdType="doi">10.34172/hpp.2023.36</ArticleId>
    </ArticleIdList>
    <History>
      <PubDate PubStatus="received">
        <Year>2023</Year>
        <Month>07</Month>
        <Day>18</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2023</Year>
        <Month>08</Month>
        <Day>14</Day>
      </PubDate>
    </History>
    <Abstract>Background: Both physical activity and muscle-strengthening activity have known relationships with other health-related variables such as alcohol and tobacco use, diet, and health-related quality of life (HRQOL). The purpose of this study was to explore and quantify the associations between physical activity measures and health-related variables at the higher state level. Methods: This cross-sectional study used data from the 2017 and 2019 Behavioral Risk Factor Surveillance System surveys. State-based prevalence (%) estimates were computed for meeting physical activity guidelines (PA), meeting muscle-strengthening activity guidelines (MS), both PA and MS (MB), drinking alcohol (D1), heavy alcohol drinking (HD), fruit consumption (F1), vegetable consumption (V1), good self-rated health (GH), overweight (OW), obesity (OB), current smoking (SN), and smokeless tobacco use (SL). Descriptive statistics, correlation coefficients, and data visualization methods were employed. Results: Strongest associations were seen between PA and F1 (2017: r=0.717 &amp; 2019: r=0.695), MS and OB (2017: r=-0.781 &amp; 2019: r=-0.599), PA and GH (2017: r=0.631 &amp; 2019: r=0.649), PA and OB (2017: r=-0.645 &amp; 2019: r=-0.763), and MB and SN (2017: r=-0.713 &amp; 2019: r=-0.645). V1 was associated only with PA (2017: r=0.335 &amp; 2019: r=0.357) whereas OW was not associated only with PA. Canonical correlation analysis showed the physical activity variables were directly related (r c=0.884, P&lt;0.001) to the health variables. Conclusion: This study used high-level data to support the many known relationships between PA measures and health-related variables. </Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Physical activity</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Muscle stretching exercises</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Obesity</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Health behavior</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Behavioral risk factor surveillance system</Param>
      </Object>
    </ObjectList>
  </Article>
</ArticleSet>