<clinical_study>
  <!-- This xml conforms to an XML Schema at:
    https://clinicaltrials.gov/ct2/html/images/info/public.xsd -->
  <required_header>
    <download_date>ClinicalTrials.gov processed this data on September 20, 2023</download_date>
    <link_text>Link to the current ClinicalTrials.gov record.</link_text>
    <url>https://clinicaltrials.gov/ct2/show/NCT03032289</url>
  </required_header>
  <id_info>
    <org_study_id>UoL_MINAP_Cycling</org_study_id>
    <nct_id>NCT03032289</nct_id>
  </id_info>
  <brief_title>Association Between Active Transport and Acute Myocardial Infarction</brief_title>
  <official_title>Association Between Active Transport and Acute Myocardial Infarction: Cross Sectional Ecological Study Using National Registry and Census Data</official_title>
  <sponsors>
    <lead_sponsor>
      <agency>University of Leeds</agency>
      <agency_class>Other</agency_class>
    </lead_sponsor>
  </sponsors>
  <source>University of Leeds</source>
  <oversight_info>
    <is_fda_regulated_drug>No</is_fda_regulated_drug>
    <is_fda_regulated_device>No</is_fda_regulated_device>
  </oversight_info>
  <brief_summary>
    <textblock>
      This study aims to investigate the association between active transport and the incidence of&#xD;
      acute myocardial infarction in England.&#xD;
    </textblock>
  </brief_summary>
  <detailed_description>
    <textblock>
      This is a cross sectional ecological study using aggregated data from the existing Myocardial&#xD;
      Ischaemia National Audit Project between 2010 and 2013. Data on active transport according to&#xD;
      local authority was obtained from the UK 2001 and 2011 census, whilst important confounders&#xD;
      including deprivation levels, prevalence of obesity and population smoking estimates were&#xD;
      obtained from Public Health England.&#xD;
&#xD;
      In addition to investigating the association between active transport and AMI, we also&#xD;
      studied the extent to which the components of active transport, cycling and walking, were&#xD;
      associated with AMI, and investigated whether any associations were contingent on a time lag&#xD;
      effect between the dates of exposure to active transport and indecent AMI.&#xD;
    </textblock>
  </detailed_description>
  <overall_status>Completed</overall_status>
  <start_date type="Actual">January 1, 2010</start_date>
  <completion_date type="Actual">December 31, 2013</completion_date>
  <primary_completion_date type="Actual">December 31, 2013</primary_completion_date>
  <study_type>Observational [Patient Registry]</study_type>
  <has_expanded_access>No</has_expanded_access>
  <study_design_info>
    <observational_model>Ecologic or Community</observational_model>
    <time_perspective>Cross-Sectional</time_perspective>
  </study_design_info>
  <target_duration>3 Years</target_duration>
  <primary_outcome>
    <measure>Acute myocardial infarction</measure>
    <time_frame>2010 to 2013</time_frame>
    <description>Admissions for acute myocardial infarction as recorded in MINAP</description>
  </primary_outcome>
  <enrollment type="Actual">100482</enrollment>
  <condition>Acute Myocardial Infarction</condition>
  <intervention>
    <intervention_type>Behavioral</intervention_type>
    <intervention_name>Active Transport</intervention_name>
    <description>Active transport, most commonly walking or cycling, is the use of physical activity to commute.</description>
  </intervention>
  <eligibility>
    <study_pop>
      <textblock>
        All cases of acute myocardial infarction recorded in the Myocardial Ischaemia National&#xD;
        Audit Project (MINAP).&#xD;
      </textblock>
    </study_pop>
    <sampling_method>Non-Probability Sample</sampling_method>
    <criteria>
      <textblock>
        Inclusion Criteria:&#xD;
&#xD;
          -  All cases of acute myocardial infarction recorded in MINAP between 2003 and 2010&#xD;
&#xD;
        Exclusion Criteria:&#xD;
&#xD;
          -  Cases aged &lt;16 and &gt;64 years&#xD;
      </textblock>
    </criteria>
    <gender>All</gender>
    <minimum_age>16 Years</minimum_age>
    <maximum_age>64 Years</maximum_age>
  </eligibility>
  <location>
    <facility>
      <name>Leeds Institute for Data Analytics</name>
      <address>
        <city>Leeds</city>
        <country>United Kingdom</country>
      </address>
    </facility>
  </location>
  <location_countries>
    <country>United Kingdom</country>
  </location_countries>
  <verification_date>January 2017</verification_date>
  <study_first_submitted>January 24, 2017</study_first_submitted>
  <study_first_submitted_qc>January 25, 2017</study_first_submitted_qc>
  <study_first_posted type="Estimate">January 26, 2017</study_first_posted>
  <last_update_submitted>January 25, 2017</last_update_submitted>
  <last_update_submitted_qc>January 25, 2017</last_update_submitted_qc>
  <last_update_posted type="Estimate">January 26, 2017</last_update_posted>
  <responsible_party>
    <responsible_party_type>Principal Investigator</responsible_party_type>
    <investigator_affiliation>University of Leeds</investigator_affiliation>
    <investigator_full_name>Marlous Hall</investigator_full_name>
    <investigator_title>Senior Epidemiologist</investigator_title>
  </responsible_party>
  <keyword>active transport</keyword>
  <keyword>cycling</keyword>
  <keyword>walking</keyword>
  <condition_browse>
    <!-- CAUTION:  The following MeSH terms are assigned with an imperfect algorithm            -->
    <mesh_term>Myocardial Infarction</mesh_term>
    <mesh_term>Infarction</mesh_term>
  </condition_browse>
  <!-- Results have not yet been posted for this study                                          -->
</clinical_study>


download date: ClinicalTrials.gov processed this data on September 20, 2023
link text: Link to the current ClinicalTrials.gov record.
url: https://clinicaltrials.gov/ct2/show/NCT03032289
org study id: UoL_MINAP_Cycling
nct id: NCT03032289
lead sponsor: 
is fda regulated drug: No
is fda regulated device: No
This study aims to investigate the association between active transport and the incidence of
      acute myocardial infarction in England.
This is a cross sectional ecological study using aggregated data from the existing Myocardial
      Ischaemia National Audit Project between 2010 and 2013. Data on active transport according to
      local authority was obtained from the UK 2001 and 2011 census, whilst important confounders
      including deprivation levels, prevalence of obesity and population smoking estimates were
      obtained from Public Health England.

      In addition to investigating the association between active transport and AMI, we also
      studied the extent to which the components of active transport, cycling and walking, were
      associated with AMI, and investigated whether any associations were contingent on a time lag
      effect between the dates of exposure to active transport and indecent AMI.
observational model: Ecologic or Community
time perspective: Cross-Sectional
measure: Acute myocardial infarction
time frame: 2010 to 2013
description: Admissions for acute myocardial infarction as recorded in MINAP
intervention type: Behavioral
intervention name: Active Transport
description: Active transport, most commonly walking or cycling, is the use of physical activity to commute.
study pop: 
sampling method: Non-Probability Sample
criteria: 
gender: All
minimum age: 16 Years
maximum age: 64 Years
facility: 
country: United Kingdom
responsible party type: Principal Investigator
investigator affiliation: University of Leeds
investigator full name: Marlous Hall
investigator title: Senior Epidemiologist
mesh term: Myocardial Infarction
mesh term: Infarction