<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/NCT04422418</url>
  </required_header>
  <id_info>
    <org_study_id>CPRA-2020-034</org_study_id>
    <nct_id>NCT04422418</nct_id>
  </id_info>
  <brief_title>Impact of Burnout on Cardiovascular and Immune Biomarkers in Healthcare Professionals - Covid-19 Pandemic in Abu Dhabi</brief_title>
  <official_title>Multi-Center Prospective Cohort Study: Impact of Burnout on Cardiovascular and Immune Biomarkers Among Frontline Healthcare Professionals During Covid-19 Pandemic in Abu Dhabi Emirate</official_title>
  <sponsors>
    <lead_sponsor>
      <agency>Khalifa University for Science and Technology</agency>
      <agency_class>Other</agency_class>
    </lead_sponsor>
    <collaborator>
      <agency>Zayed Military Hospital</agency>
      <agency_class>Other</agency_class>
    </collaborator>
    <collaborator>
      <agency>Abu Dhabi University</agency>
      <agency_class>Other</agency_class>
    </collaborator>
    <collaborator>
      <agency>Cleveland Clinic Abu Dhabi</agency>
      <agency_class>Other</agency_class>
    </collaborator>
    <collaborator>
      <agency>Sheikh Khalifa Medical City</agency>
      <agency_class>Other</agency_class>
    </collaborator>
    <collaborator>
      <agency>Sheikh Shakhbout Medical City</agency>
      <agency_class>Other</agency_class>
    </collaborator>
    <collaborator>
      <agency>Mediclinic Middle East</agency>
      <agency_class>Industry</agency_class>
    </collaborator>
    <collaborator>
      <agency>Myriad Global Solutions</agency>
      <agency_class>Other</agency_class>
    </collaborator>
  </sponsors>
  <source>Khalifa University for Science and Technology</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>
      The main objective of our project is to investigate the evolution of psychosocial,&#xD;
      cardiovascular and immune markers in healthcare with different levels of exposure to the&#xD;
      COVID-19 pandemic.&#xD;
    </textblock>
  </brief_summary>
  <detailed_description>
    <textblock>
      Introduction: The coronavirus disease 2019 (COVID-19) pandemic has created new and&#xD;
      unpredictable challenges for healthcare systems. Healthcare professionals are heavily&#xD;
      affected by this rapidly changing situation. They may experience psychological burden,&#xD;
      especially nurses, women, and frontline health care professionals directly engaged in the&#xD;
      diagnosis, treatment, and care for patients with COVID-19. The objective of this study is to&#xD;
      investigate the evolution of psychosocial, cardiovascular and immune markers in healthcare&#xD;
      professionals with different levels of exposure to the COVID-19 pandemic. The effects of the&#xD;
      pandemic work burden on psychological, cardiovascular and immune biomarkers will be&#xD;
      stratified per level of exposure to the COVID-19 pandemic, positive diagnosis to COVID-19,&#xD;
      profession, sex, age and already existent cardiovascular risk.&#xD;
&#xD;
      Methods: A STROBE compliant, blended exploratory study involving online and onsite approach&#xD;
      with wearable monitoring will be implemented. A planned random probability sample of&#xD;
      residents, staff physicians, nurses and auxiliary healthcare professionals will be recruited&#xD;
      from both inpatient and outpatient medicine services will be stratified by exposure to&#xD;
      COVID-19 pandemic (frontline versus second line). In a first step, will be an online&#xD;
      recruitment with e-consent and e-survey with Maslach Burnout Inventory, Fuster-BEWAT score&#xD;
      and sociodemographic characteristics, and planning for onsite visit; in a second step, will&#xD;
      be a setup for wearable monitoring of heart rate, actimetry and sleep quality together with&#xD;
      blood sampling for immune biomarkers; steps 1 &amp; 2 will be repeated at 2-3 months, 6 months.&#xD;
      Power BI &amp; Tableau will be used for data visualization purposes, while the front-end data&#xD;
      capture application will be used for data collection and will be built using specific&#xD;
      survey/questionnaire related tools for healthcare usage data linkage.&#xD;
&#xD;
      Ethics and dissemination: Institutional Review Board approval has been obtained from Khalifa&#xD;
      University (protocol # CPRA-2020-034) and Department of Health-Abu Dhabi (protocol #&#xD;
      CVDC-20-05/2020-8). Data analysis, release of results and publication of manuscripts are&#xD;
      scheduled to start in early 2021. Data and findings may be useful to healthcare policymakers&#xD;
      for developing preventive strategies to reduce or prevent burnout, cardiovascular risk and&#xD;
      immune dysfunction.&#xD;
    </textblock>
  </detailed_description>
  <overall_status>Unknown status</overall_status>
  <last_known_status>Recruiting</last_known_status>
  <start_date type="Actual">July 1, 2020</start_date>
  <completion_date type="Anticipated">December 31, 2020</completion_date>
  <primary_completion_date type="Anticipated">December 14, 2020</primary_completion_date>
  <study_type>Observational</study_type>
  <has_expanded_access>No</has_expanded_access>
  <study_design_info>
    <observational_model>Cohort</observational_model>
    <time_perspective>Prospective</time_perspective>
  </study_design_info>
  <primary_outcome>
    <measure>Change from Baseline Burnout at 2-3 months and 6 months</measure>
    <time_frame>baseline, 2-3 months, 6 months</time_frame>
    <description>Burnout - through self-reported stress and burnout thoughts, beliefs, emotions, behavior related to Covid-19 using Maslach Burnout Inventory. Maslach Burnout Inventory - is a 22-item survey that covers 3 areas: Emotional Exhaustion (EE), Depersonalization (DP), and low sense of Personal Accomplishment (PA). Each subscale includes multiple questions with frequency rating choices of Never, A few times a year or less, Once a month or less, A few times a month, Once a week, A few times a week, or Every day.</description>
  </primary_outcome>
  <primary_outcome>
    <measure>Change from Baseline Cardiovascular Risk Cardiovascular Risk Through Heart Rate Variability Markers at 2-3 months and 6 months</measure>
    <time_frame>baseline, 2-3 months, 6 months</time_frame>
    <description>Data is collected through wearable monitoring technology. Cardiovascular risk through monitoring of heart rate variability (HRV) markers. Changes of heart rate variability (HRV) reflecting cardiac autonomic dysfunction are associated with greater risks for cardiac morbidity and mortality.</description>
  </primary_outcome>
  <primary_outcome>
    <measure>Change from Baseline Through Actigraphy at 2-3 months and 6 months</measure>
    <time_frame>baseline, 2-3 months, 6 months</time_frame>
    <description>Data is collected through wearable monitoring technology. Actigraphy data is collected in 1 min epochs using the zero-crossing modes.</description>
  </primary_outcome>
  <primary_outcome>
    <measure>Change from Baseline Through Sleep Quality at 2-3 months and 6 months</measure>
    <time_frame>baseline, 2-3 months, 6 months</time_frame>
    <description>Data is collected through wearable monitoring technology. Sleep efficiency is defined as the proportion of the estimated sleep periods spent asleep. Sleep latency is the length of time taken to fall asleep, calculated as the time between 'lights off' to the first period of 3 min of consecutive epochs scored as sleep.</description>
  </primary_outcome>
  <primary_outcome>
    <measure>Change from Baseline Cardiovascular Risk Through Fuster-BEWAT score at 2-3 months and 6 months</measure>
    <time_frame>baseline, 2-3 months, 6 months</time_frame>
    <description>Cardiovascular risk through Fuster-BEWAT score. The Fuster-BEWAT score will be analyzed as a continuous variable with total score ranging from 0 to 15 points. Additionally, each component will be categorized as ideal (3) or nonideal (0 to 2), and participants will be classified as having poor, intermediate, or ideal cardiovascular health based on the total number of ideal components (0 to 1 = poor, 2 to 3 = intermediate, 4 to 5 = ideal) (Fernández-Alvira et al., 2017).</description>
  </primary_outcome>
  <primary_outcome>
    <measure>Change from Baseline Immune Dysfunction at 2-3 months and 6 months</measure>
    <time_frame>baseline, 2-3 months, 6 months</time_frame>
    <description>Classification of the immune function will be screened.</description>
  </primary_outcome>
  <secondary_outcome>
    <measure>Change from Baseline Cardio-Respiratory Fitness at 2-3 months and 6 months</measure>
    <time_frame>baseline, 2-3 months, 6 months</time_frame>
    <description>Submaximal field test and maximal oxygen consumption (VO2, mL/kg/min).</description>
  </secondary_outcome>
  <enrollment type="Anticipated">200</enrollment>
  <condition>Cardiovascular Risk Factor</condition>
  <condition>Burnout</condition>
  <condition>Immune Deficiency</condition>
  <eligibility>
    <study_pop>
      <textblock>
        Residents, staff physicians, nurses and auxiliary healthcare professionals (adult males and&#xD;
        females over 18 years) from both inpatient and outpatient medicine services&#xD;
      </textblock>
    </study_pop>
    <sampling_method>Probability Sample</sampling_method>
    <criteria>
      <textblock>
        Inclusion Criteria:&#xD;
&#xD;
          -  all residents, staff physicians, nurses and auxiliary healthcare professionals from&#xD;
             both inpatient and outpatient medicine services who agreed to be a part of the study&#xD;
             will be provided with heart rate tracking devices to monitor heart rate.&#xD;
&#xD;
        Exclusion Criteria:&#xD;
&#xD;
          -  not willing to complete written consent form.&#xD;
      </textblock>
    </criteria>
    <gender>All</gender>
    <minimum_age>18 Years</minimum_age>
    <maximum_age>N/A</maximum_age>
    <healthy_volunteers>No</healthy_volunteers>
  </eligibility>
  <overall_official>
    <last_name>Wael Almahmeed, MD</last_name>
    <role>Study Chair</role>
    <affiliation>Cleveland Clinic Abu Dhabi</affiliation>
  </overall_official>
  <overall_contact>
    <last_name>Ovidiu C Baltatu, MD PhD</last_name>
    <phone>‭+971 2 810 9797</phone>
    <email>ovidiu.baltatu@ku.ac.ae</email>
  </overall_contact>
  <overall_contact_backup>
    <last_name>Hashel Al Tunaiji, MD MSc</last_name>
    <phone>+971 50 635 5002</phone>
    <email>dr.tunaiji@ymail.com</email>
  </overall_contact_backup>
  <location>
    <facility>
      <name>Cleveland Clinic Abu Dhabi</name>
      <address>
        <city>Abu Dhabi</city>
        <country>United Arab Emirates</country>
      </address>
    </facility>
    <status>Recruiting</status>
    <contact>
      <last_name>Wael Almahmeed, MD</last_name>
      <email>MahmeeW@ClevelandClinicAbuDhabi.ae</email>
    </contact>
    <investigator>
      <last_name>Khurram Ali, MD</last_name>
      <role>Principal Investigator</role>
    </investigator>
  </location>
  <location>
    <facility>
      <name>Mediclinic</name>
      <address>
        <city>Abu Dhabi</city>
        <country>United Arab Emirates</country>
      </address>
    </facility>
    <status>Recruiting</status>
    <contact>
      <last_name>Ahmad Mounir, MD</last_name>
      <email>farah8feb@yahoo.co.uk</email>
    </contact>
  </location>
  <location>
    <facility>
      <name>Sheikh Khalifa Medical City</name>
      <address>
        <city>Abu Dhabi</city>
        <country>United Arab Emirates</country>
      </address>
    </facility>
    <status>Recruiting</status>
    <contact>
      <last_name>Seema El Khider Nour, MD</last_name>
      <email>snour@seha.ae</email>
    </contact>
  </location>
  <location>
    <facility>
      <name>Sheikh Shakhbout Medical City</name>
      <address>
        <city>Abu Dhabi</city>
        <country>United Arab Emirates</country>
      </address>
    </facility>
    <status>Recruiting</status>
    <contact>
      <last_name>Nadya Matroushi, MD</last_name>
      <email>nmatroshi@seha.ae</email>
    </contact>
  </location>
  <location_countries>
    <country>United Arab Emirates</country>
  </location_countries>
  <reference>
    <citation>Pereira VL Jr, Dobre M, Dos Santos SG, Fuzatti JS, Oliveira CR, Campos LA, Brateanu A, Baltatu OC. Association between Carotid Intima Media Thickness and Heart Rate Variability in Adults at Increased Cardiovascular Risk. Front Physiol. 2017 Apr 26;8:248. doi: 10.3389/fphys.2017.00248. eCollection 2017.</citation>
    <PMID>28491040</PMID>
  </reference>
  <reference>
    <citation>Pinheiro Ade O, Pereira VL Jr, Baltatu OC, Campos LA. Cardiac autonomic dysfunction in elderly women with myocardial infarction. Curr Med Res Opin. 2015;31(10):1849-54. doi: 10.1185/03007995.2015.1074065. Epub 2015 Aug 26.</citation>
    <PMID>26196167</PMID>
  </reference>
  <reference>
    <citation>da Silva ELP, Pereira R, Reis LN, Pereira VL Jr, Campos LA, Wessel N, Baltatu OC. Heart rate detrended fluctuation indexes as estimate of obstructive sleep apnea severity. Medicine (Baltimore). 2015 Jan;94(4):e516. doi: 10.1097/MD.0000000000000516.</citation>
    <PMID>25634206</PMID>
  </reference>
  <reference>
    <citation>Gomez-Pardo E, Fernandez-Alvira JM, Vilanova M, Haro D, Martinez R, Carvajal I, Carral V, Rodriguez C, de Miguel M, Bodega P, Santos-Beneit G, Penalvo JL, Marina I, Perez-Farinos N, Dal Re M, Villar C, Robledo T, Vedanthan R, Bansilal S, Fuster V. A Comprehensive Lifestyle Peer Group-Based Intervention on Cardiovascular Risk Factors: The Randomized Controlled Fifty-Fifty Program. J Am Coll Cardiol. 2016 Feb 9;67(5):476-85. doi: 10.1016/j.jacc.2015.10.033. Epub 2015 Nov 9. Erratum In: J Am Coll Cardiol. 2016 Mar 22;67(11):1385.</citation>
    <PMID>26562047</PMID>
  </reference>
  <reference>
    <citation>Fernandez-Alvira JM, Fuster V, Pocock S, Sanz J, Fernandez-Friera L, Laclaustra M, Fernandez-Jimenez R, Mendiguren J, Fernandez-Ortiz A, Ibanez B, Bueno H. Predicting Subclinical Atherosclerosis in Low-Risk Individuals: Ideal Cardiovascular Health Score and Fuster-BEWAT Score. J Am Coll Cardiol. 2017 Nov 14;70(20):2463-2473. doi: 10.1016/j.jacc.2017.09.032.</citation>
    <PMID>29145946</PMID>
  </reference>
  <reference>
    <citation>Henriksen A, Grimsgaard S, Horsch A, Hartvigsen G, Hopstock L. Validity of the Polar M430 Activity Monitor in Free-Living Conditions: Validation Study. JMIR Form Res. 2019 Aug 16;3(3):e14438. doi: 10.2196/14438.</citation>
    <PMID>31420958</PMID>
  </reference>
  <verification_date>June 2020</verification_date>
  <study_first_submitted>June 3, 2020</study_first_submitted>
  <study_first_submitted_qc>June 7, 2020</study_first_submitted_qc>
  <study_first_posted type="Actual">June 9, 2020</study_first_posted>
  <last_update_submitted>November 1, 2020</last_update_submitted>
  <last_update_submitted_qc>November 1, 2020</last_update_submitted_qc>
  <last_update_posted type="Actual">November 3, 2020</last_update_posted>
  <responsible_party>
    <responsible_party_type>Sponsor</responsible_party_type>
  </responsible_party>
  <keyword>Pandemics</keyword>
  <keyword>Healthcare professionals</keyword>
  <keyword>Burnout</keyword>
  <keyword>Cardiovascular risk</keyword>
  <condition_browse>
    <!-- CAUTION:  The following MeSH terms are assigned with an imperfect algorithm            -->
    <mesh_term>COVID-19</mesh_term>
    <mesh_term>Immunologic Deficiency Syndromes</mesh_term>
    <mesh_term>Burnout, Psychological</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/NCT04422418
org study id: CPRA-2020-034
nct id: NCT04422418
lead sponsor: 
collaborator: 
collaborator: 
collaborator: 
collaborator: 
collaborator: 
collaborator: 
collaborator: 
has dmc: No
is fda regulated drug: No
is fda regulated device: No
The main objective of our project is to investigate the evolution of psychosocial,
      cardiovascular and immune markers in healthcare with different levels of exposure to the
      COVID-19 pandemic.
Introduction: The coronavirus disease 2019 (COVID-19) pandemic has created new and
      unpredictable challenges for healthcare systems. Healthcare professionals are heavily
      affected by this rapidly changing situation. They may experience psychological burden,
      especially nurses, women, and frontline health care professionals directly engaged in the
      diagnosis, treatment, and care for patients with COVID-19. The objective of this study is to
      investigate the evolution of psychosocial, cardiovascular and immune markers in healthcare
      professionals with different levels of exposure to the COVID-19 pandemic. The effects of the
      pandemic work burden on psychological, cardiovascular and immune biomarkers will be
      stratified per level of exposure to the COVID-19 pandemic, positive diagnosis to COVID-19,
      profession, sex, age and already existent cardiovascular risk.

      Methods: A STROBE compliant, blended exploratory study involving online and onsite approach
      with wearable monitoring will be implemented. A planned random probability sample of
      residents, staff physicians, nurses and auxiliary healthcare professionals will be recruited
      from both inpatient and outpatient medicine services will be stratified by exposure to
      COVID-19 pandemic (frontline versus second line). In a first step, will be an online
      recruitment with e-consent and e-survey with Maslach Burnout Inventory, Fuster-BEWAT score
      and sociodemographic characteristics, and planning for onsite visit; in a second step, will
      be a setup for wearable monitoring of heart rate, actimetry and sleep quality together with
      blood sampling for immune biomarkers; steps 1 & 2 will be repeated at 2-3 months, 6 months.
      Power BI & Tableau will be used for data visualization purposes, while the front-end data
      capture application will be used for data collection and will be built using specific
      survey/questionnaire related tools for healthcare usage data linkage.

      Ethics and dissemination: Institutional Review Board approval has been obtained from Khalifa
      University (protocol # CPRA-2020-034) and Department of Health-Abu Dhabi (protocol #
      CVDC-20-05/2020-8). Data analysis, release of results and publication of manuscripts are
      scheduled to start in early 2021. Data and findings may be useful to healthcare policymakers
      for developing preventive strategies to reduce or prevent burnout, cardiovascular risk and
      immune dysfunction.
observational model: Cohort
time perspective: Prospective
measure: Change from Baseline Burnout at 2-3 months and 6 months
time frame: baseline, 2-3 months, 6 months
description: Burnout - through self-reported stress and burnout thoughts, beliefs, emotions, behavior related to Covid-19 using Maslach Burnout Inventory. Maslach Burnout Inventory - is a 22-item survey that covers 3 areas: Emotional Exhaustion (EE), Depersonalization (DP), and low sense of Personal Accomplishment (PA). Each subscale includes multiple questions with frequency rating choices of Never, A few times a year or less, Once a month or less, A few times a month, Once a week, A few times a week, or Every day.
measure: Change from Baseline Cardiovascular Risk Cardiovascular Risk Through Heart Rate Variability Markers at 2-3 months and 6 months
time frame: baseline, 2-3 months, 6 months
description: Data is collected through wearable monitoring technology. Cardiovascular risk through monitoring of heart rate variability (HRV) markers. Changes of heart rate variability (HRV) reflecting cardiac autonomic dysfunction are associated with greater risks for cardiac morbidity and mortality.
measure: Change from Baseline Through Actigraphy at 2-3 months and 6 months
time frame: baseline, 2-3 months, 6 months
description: Data is collected through wearable monitoring technology. Actigraphy data is collected in 1 min epochs using the zero-crossing modes.
measure: Change from Baseline Through Sleep Quality at 2-3 months and 6 months
time frame: baseline, 2-3 months, 6 months
description: Data is collected through wearable monitoring technology. Sleep efficiency is defined as the proportion of the estimated sleep periods spent asleep. Sleep latency is the length of time taken to fall asleep, calculated as the time between 'lights off' to the first period of 3 min of consecutive epochs scored as sleep.
measure: Change from Baseline Cardiovascular Risk Through Fuster-BEWAT score at 2-3 months and 6 months
time frame: baseline, 2-3 months, 6 months
description: Cardiovascular risk through Fuster-BEWAT score. The Fuster-BEWAT score will be analyzed as a continuous variable with total score ranging from 0 to 15 points. Additionally, each component will be categorized as ideal (3) or nonideal (0 to 2), and participants will be classified as having poor, intermediate, or ideal cardiovascular health based on the total number of ideal components (0 to 1 = poor, 2 to 3 = intermediate, 4 to 5 = ideal) (Fernández-Alvira et al., 2017).
measure: Change from Baseline Immune Dysfunction at 2-3 months and 6 months
time frame: baseline, 2-3 months, 6 months
description: Classification of the immune function will be screened.
measure: Change from Baseline Cardio-Respiratory Fitness at 2-3 months and 6 months
time frame: baseline, 2-3 months, 6 months
description: Submaximal field test and maximal oxygen consumption (VO2, mL/kg/min).
study pop: 
sampling method: Probability Sample
criteria: 
gender: All
minimum age: 18 Years
maximum age: N/A
healthy volunteers: No
last name: Wael Almahmeed, MD
role: Study Chair
affiliation: Cleveland Clinic Abu Dhabi
last name: Ovidiu C Baltatu, MD PhD
phone: ‭+971 2 810 9797
email: ovidiu.baltatu@ku.ac.ae
last name: Hashel Al Tunaiji, MD MSc
phone: +971 50 635 5002
email: dr.tunaiji@ymail.com
facility: 
status: Recruiting
contact: 
investigator: 
facility: 
status: Recruiting
contact: 
facility: 
status: Recruiting
contact: 
facility: 
status: Recruiting
contact: 
country: United Arab Emirates
citation: Pereira VL Jr, Dobre M, Dos Santos SG, Fuzatti JS, Oliveira CR, Campos LA, Brateanu A, Baltatu OC. Association between Carotid Intima Media Thickness and Heart Rate Variability in Adults at Increased Cardiovascular Risk. Front Physiol. 2017 Apr 26;8:248. doi: 10.3389/fphys.2017.00248. eCollection 2017.
PMID: 28491040
citation: Pinheiro Ade O, Pereira VL Jr, Baltatu OC, Campos LA. Cardiac autonomic dysfunction in elderly women with myocardial infarction. Curr Med Res Opin. 2015;31(10):1849-54. doi: 10.1185/03007995.2015.1074065. Epub 2015 Aug 26.
PMID: 26196167
citation: da Silva ELP, Pereira R, Reis LN, Pereira VL Jr, Campos LA, Wessel N, Baltatu OC. Heart rate detrended fluctuation indexes as estimate of obstructive sleep apnea severity. Medicine (Baltimore). 2015 Jan;94(4):e516. doi: 10.1097/MD.0000000000000516.
PMID: 25634206
citation: Gomez-Pardo E, Fernandez-Alvira JM, Vilanova M, Haro D, Martinez R, Carvajal I, Carral V, Rodriguez C, de Miguel M, Bodega P, Santos-Beneit G, Penalvo JL, Marina I, Perez-Farinos N, Dal Re M, Villar C, Robledo T, Vedanthan R, Bansilal S, Fuster V. A Comprehensive Lifestyle Peer Group-Based Intervention on Cardiovascular Risk Factors: The Randomized Controlled Fifty-Fifty Program. J Am Coll Cardiol. 2016 Feb 9;67(5):476-85. doi: 10.1016/j.jacc.2015.10.033. Epub 2015 Nov 9. Erratum In: J Am Coll Cardiol. 2016 Mar 22;67(11):1385.
PMID: 26562047
citation: Fernandez-Alvira JM, Fuster V, Pocock S, Sanz J, Fernandez-Friera L, Laclaustra M, Fernandez-Jimenez R, Mendiguren J, Fernandez-Ortiz A, Ibanez B, Bueno H. Predicting Subclinical Atherosclerosis in Low-Risk Individuals: Ideal Cardiovascular Health Score and Fuster-BEWAT Score. J Am Coll Cardiol. 2017 Nov 14;70(20):2463-2473. doi: 10.1016/j.jacc.2017.09.032.
PMID: 29145946
citation: Henriksen A, Grimsgaard S, Horsch A, Hartvigsen G, Hopstock L. Validity of the Polar M430 Activity Monitor in Free-Living Conditions: Validation Study. JMIR Form Res. 2019 Aug 16;3(3):e14438. doi: 10.2196/14438.
PMID: 31420958
responsible party type: Sponsor
mesh term: COVID-19
mesh term: Immunologic Deficiency Syndromes
mesh term: Burnout, Psychological