<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/NCT04453228</url>
  </required_header>
  <id_info>
    <org_study_id>M2020108</org_study_id>
    <nct_id>NCT04453228</nct_id>
  </id_info>
  <brief_title>Analysis of the Mass Skiers' Injury in a Large Ski Resort in Chongli, China</brief_title>
  <official_title>Analysis of the Mass Skiers' Injury in a Large Ski Resort in Chongli, China</official_title>
  <sponsors>
    <lead_sponsor>
      <agency>Peking University Third Hospital</agency>
      <agency_class>Other</agency_class>
    </lead_sponsor>
  </sponsors>
  <source>Peking University Third Hospital</source>
  <oversight_info>
    <has_dmc>No</has_dmc>
    <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 takes the injury situation of a large ski resort in Chongli during the 2017-2018&#xD;
      and 2018-2019 snow seasons as an example, aiming to preliminarily understand the injury&#xD;
      situation of mass skiing in ski resorts in China, and provide a basis for predicting the&#xD;
      rapidly growing medical demand for treatment and treatment of ski injuries in the context of&#xD;
      2022 Winter Olympic Games.&#xD;
    </textblock>
  </brief_summary>
  <detailed_description>
    <textblock>
      Objective: To make a retrospective analysis of the injuries of skiing population in a large&#xD;
      ski resort in Chongli, China and provide a basis for predicting the rapidly increasing&#xD;
      medical needs for ski injuries in the context of the 2022 winter Olympic Games.&#xD;
&#xD;
      Methods: The basic data of all injured skiers who were treated in a medical station of a&#xD;
      large ski resort in Chongli during the 2017-2018 and 2018-2019 snow seasons were collected.&#xD;
      The number of skiers, the number of injuries, the causes of injuries, the types of injuries&#xD;
      and the locations of injuries were compared.&#xD;
    </textblock>
  </detailed_description>
  <overall_status>Completed</overall_status>
  <start_date type="Actual">March 22, 2020</start_date>
  <completion_date type="Actual">May 22, 2020</completion_date>
  <primary_completion_date type="Actual">April 22, 2020</primary_completion_date>
  <study_type>Observational</study_type>
  <has_expanded_access>No</has_expanded_access>
  <study_design_info>
    <observational_model>Case-Only</observational_model>
    <time_perspective>Retrospective</time_perspective>
  </study_design_info>
  <primary_outcome>
    <measure>Injury rate during the snow season</measure>
    <time_frame>Injury rate during a snow season,an average of 5 months</time_frame>
    <description>This study statistically analyzed the injury rates of the two snow seasons to see if there was any difference</description>
  </primary_outcome>
  <number_of_groups>2</number_of_groups>
  <enrollment type="Actual">753</enrollment>
  <condition>Skiing Injury</condition>
  <arm_group>
    <arm_group_label>2017-2018 snow season</arm_group_label>
    <description>Injured skiers in the 2017-2018 snow season</description>
  </arm_group>
  <arm_group>
    <arm_group_label>2018-2019 snow season</arm_group_label>
    <description>Injured skiers in the 2018-2019 snow season</description>
  </arm_group>
  <intervention>
    <intervention_type>Other</intervention_type>
    <intervention_name>Classification statistics</intervention_name>
    <description>We classified skiers in the two snow seasons by injury site, type of injury, cause of injury, etc</description>
    <arm_group_label>2017-2018 snow season</arm_group_label>
    <arm_group_label>2018-2019 snow season</arm_group_label>
  </intervention>
  <eligibility>
    <study_pop>
      <textblock>
        During the 2017-2018 and 2018-2019 snow season, the injured skiers were amateurs.There were&#xD;
        teenagers and teachers.But most of them were young and middle-aged.&#xD;
      </textblock>
    </study_pop>
    <sampling_method>Non-Probability Sample</sampling_method>
    <criteria>
      <textblock>
        Inclusion Criteria:&#xD;
&#xD;
          -  All of the injured in a snow season at a snow resort&#xD;
&#xD;
        Exclusion Criteria:&#xD;
&#xD;
          -  None&#xD;
      </textblock>
    </criteria>
    <gender>All</gender>
    <minimum_age>N/A</minimum_age>
    <maximum_age>N/A</maximum_age>
    <healthy_volunteers>No</healthy_volunteers>
  </eligibility>
  <location>
    <facility>
      <name>Peking University Third Hospital</name>
      <address>
        <city>Beijing</city>
        <state>Beijing</state>
        <zip>100191</zip>
        <country>China</country>
      </address>
    </facility>
  </location>
  <location_countries>
    <country>China</country>
  </location_countries>
  <verification_date>June 2020</verification_date>
  <study_first_submitted>June 25, 2020</study_first_submitted>
  <study_first_submitted_qc>June 27, 2020</study_first_submitted_qc>
  <study_first_posted type="Actual">July 1, 2020</study_first_posted>
  <last_update_submitted>June 27, 2020</last_update_submitted>
  <last_update_submitted_qc>June 27, 2020</last_update_submitted_qc>
  <last_update_posted type="Actual">July 1, 2020</last_update_posted>
  <responsible_party>
    <responsible_party_type>Sponsor</responsible_party_type>
  </responsible_party>
  <keyword>Ski resorts</keyword>
  <keyword>Skiing</keyword>
  <keyword>Sports injury</keyword>
  <keyword>The winter Olympics</keyword>
  <condition_browse>
    <!-- CAUTION:  The following MeSH terms are assigned with an imperfect algorithm            -->
    <mesh_term>Wounds and Injuries</mesh_term>
  </condition_browse>
  <patient_data>
    <sharing_ipd>No</sharing_ipd>
  </patient_data>
  <!-- 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/NCT04453228
org study id: M2020108
nct id: NCT04453228
lead sponsor: 
has dmc: No
is fda regulated drug: No
is fda regulated device: No
This study takes the injury situation of a large ski resort in Chongli during the 2017-2018
      and 2018-2019 snow seasons as an example, aiming to preliminarily understand the injury
      situation of mass skiing in ski resorts in China, and provide a basis for predicting the
      rapidly growing medical demand for treatment and treatment of ski injuries in the context of
      2022 Winter Olympic Games.
Objective: To make a retrospective analysis of the injuries of skiing population in a large
      ski resort in Chongli, China and provide a basis for predicting the rapidly increasing
      medical needs for ski injuries in the context of the 2022 winter Olympic Games.

      Methods: The basic data of all injured skiers who were treated in a medical station of a
      large ski resort in Chongli during the 2017-2018 and 2018-2019 snow seasons were collected.
      The number of skiers, the number of injuries, the causes of injuries, the types of injuries
      and the locations of injuries were compared.
observational model: Case-Only
time perspective: Retrospective
measure: Injury rate during the snow season
time frame: Injury rate during a snow season,an average of 5 months
description: This study statistically analyzed the injury rates of the two snow seasons to see if there was any difference
arm group label: 2017-2018 snow season
description: Injured skiers in the 2017-2018 snow season
arm group label: 2018-2019 snow season
description: Injured skiers in the 2018-2019 snow season
intervention type: Other
intervention name: Classification statistics
description: We classified skiers in the two snow seasons by injury site, type of injury, cause of injury, etc
arm group label: 2017-2018 snow season
arm group label: 2018-2019 snow season
study pop: 
sampling method: Non-Probability Sample
criteria: 
gender: All
minimum age: N/A
maximum age: N/A
healthy volunteers: No
facility: 
country: China
responsible party type: Sponsor
mesh term: Wounds and Injuries
sharing ipd: No