<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/NCT01722500</url>
  </required_header>
  <id_info>
    <org_study_id>PBRC 10042CC</org_study_id>
    <nct_id>NCT01722500</nct_id>
  </id_info>
  <brief_title>International Study of Childhood Obesity, Lifestyle and the Environment</brief_title>
  <acronym>ISCOLE</acronym>
  <official_title>International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE)</official_title>
  <sponsors>
    <lead_sponsor>
      <agency>Pennington Biomedical Research Center</agency>
      <agency_class>Other</agency_class>
    </lead_sponsor>
    <collaborator>
      <agency>The Coca-Cola Company</agency>
      <agency_class>Industry</agency_class>
    </collaborator>
  </sponsors>
  <source>Pennington Biomedical Research Center</source>
  <oversight_info>
    <has_dmc>Yes</has_dmc>
  </oversight_info>
  <brief_summary>
    <textblock>
      The primary aim of the International Study of Childhood Obesity, Lifestyle and the&#xD;
      Environment (ISCOLE) is to determine the relationship between lifestyle characteristics and&#xD;
      obesity in a large multi-national study of 10 year-old children, and to investigate the&#xD;
      influence of behavioral settings and physical, social and policy environments on the observed&#xD;
      relationships within each country.&#xD;
    </textblock>
  </brief_summary>
  <detailed_description>
    <textblock>
      Data will be collected in 12 countries (500 children per site) from five major regions of the&#xD;
      world (Eurasia &amp; Africa, Europe, Latin America, North America, and the Pacific).&#xD;
      Cross-sectional evaluations will be undertaken in each country. The physical characteristics&#xD;
      of the children will be directly measured in order to classify their body weight and&#xD;
      adiposity status, and physical activity and dietary patterns will be measured with the most&#xD;
      objective techniques currently available. A concise set of environmental measures that are&#xD;
      feasible, valid and meaningful across the international settings included in this research&#xD;
      will also be employed. The results of this study will provide a robust examination of the&#xD;
      correlates of obesity and weight gain in children, focusing on both sides of the energy&#xD;
      balance equation. The results will also provide important new information that will inform&#xD;
      the development of lifestyle interventions to address childhood obesity that can be&#xD;
      culturally adapted for implementation around the world.&#xD;
    </textblock>
  </detailed_description>
  <overall_status>Completed</overall_status>
  <start_date>December 2010</start_date>
  <completion_date type="Actual">December 2014</completion_date>
  <primary_completion_date type="Actual">December 2014</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>Cross-Sectional</time_perspective>
  </study_design_info>
  <primary_outcome>
    <measure>Testing of Children</measure>
    <time_frame>Baseline</time_frame>
    <description>BMI (kg/m2)</description>
  </primary_outcome>
  <primary_outcome>
    <measure>Testing of Children</measure>
    <time_frame>Baseline</time_frame>
    <description>Waist Circumference (cm)</description>
  </primary_outcome>
  <primary_outcome>
    <measure>Testing of Children</measure>
    <time_frame>Baseline</time_frame>
    <description>Percent Body Fat (%)</description>
  </primary_outcome>
  <secondary_outcome>
    <measure>Testing of Children</measure>
    <time_frame>Baseline</time_frame>
    <description>Physical activity (minutes/day)</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Testing of Children</measure>
    <time_frame>Baseline</time_frame>
    <description>Dietary intake (principal components analysis score)</description>
  </secondary_outcome>
  <number_of_groups>1</number_of_groups>
  <enrollment type="Actual">7806</enrollment>
  <condition>Childhood Obesity</condition>
  <arm_group>
    <arm_group_label>10 year old children</arm_group_label>
    <description>500 children with mean age 10.5 years from each of 12 countries</description>
  </arm_group>
  <eligibility>
    <study_pop>
      <textblock>
        boys and girls who are approximately 10 years&#xD;
      </textblock>
    </study_pop>
    <sampling_method>Non-Probability Sample</sampling_method>
    <criteria>
      <textblock>
        Inclusion Criteria:&#xD;
&#xD;
          -  students 10 years of age&#xD;
&#xD;
        Exclusion Criteria:&#xD;
&#xD;
          -  has pacemaker or other internal medical devices&#xD;
      </textblock>
    </criteria>
    <gender>All</gender>
    <minimum_age>9 Years</minimum_age>
    <maximum_age>11 Years</maximum_age>
    <healthy_volunteers>Accepts Healthy Volunteers</healthy_volunteers>
  </eligibility>
  <overall_official>
    <last_name>Peter T. Katzmarzyk, PhD, FACSM</last_name>
    <role>Principal Investigator</role>
    <affiliation>Pennington Biomedical Research Center</affiliation>
  </overall_official>
  <overall_official>
    <last_name>Timothy S. Church, MD, MPH, PhD</last_name>
    <role>Principal Investigator</role>
    <affiliation>Pennington Biomedical Research Center</affiliation>
  </overall_official>
  <location>
    <facility>
      <name>Pennington Biomedical Research Center</name>
      <address>
        <city>Baton Rouge</city>
        <state>Louisiana</state>
        <zip>70808</zip>
        <country>United States</country>
      </address>
    </facility>
  </location>
  <location>
    <facility>
      <name>School of Health Sciences at University of South Australia</name>
      <address>
        <city>Adelaide</city>
        <zip>5001</zip>
        <country>Australia</country>
      </address>
    </facility>
  </location>
  <location>
    <facility>
      <name>Centro de Estudos do Laboratório de Aptidão Física de São Caetano do Sul (CELAFISCS)</name>
      <address>
        <city>Sao Paulo</city>
        <zip>09501-000</zip>
        <country>Brazil</country>
      </address>
    </facility>
  </location>
  <location>
    <facility>
      <name>Department of Pediatrics, University of Ottawa</name>
      <address>
        <city>Ottawa</city>
        <state>Ontario</state>
        <zip>K1N 6N5</zip>
        <country>Canada</country>
      </address>
    </facility>
  </location>
  <location>
    <facility>
      <name>Tianjin Women's &amp; Children's Health Center</name>
      <address>
        <city>Tianjin</city>
        <zip>300070</zip>
        <country>China</country>
      </address>
    </facility>
  </location>
  <location>
    <facility>
      <name>Department of Public Health School of Medicine at Universidad de los Andes</name>
      <address>
        <city>Carrera</city>
        <state>Bogata</state>
        <country>Colombia</country>
      </address>
    </facility>
  </location>
  <location>
    <facility>
      <name>Department of Food &amp; Environmental Sciences, University of Helsinki</name>
      <address>
        <city>Helsinki</city>
        <zip>00014</zip>
        <country>Finland</country>
      </address>
    </facility>
  </location>
  <location>
    <facility>
      <name>St John's National Academy of Health Sciences</name>
      <address>
        <city>Bangalore</city>
        <state>Karnataka</state>
        <zip>560034</zip>
        <country>India</country>
      </address>
    </facility>
  </location>
  <location>
    <facility>
      <name>Department of Exercise, Recreation and Sports Science at Kenyatta University</name>
      <address>
        <city>Nairobi</city>
        <country>Kenya</country>
      </address>
    </facility>
  </location>
  <location>
    <facility>
      <name>Faculty of Sport Sciences and Physical Education - University of Porto</name>
      <address>
        <city>Porto</city>
        <zip>4200-450</zip>
        <country>Portugal</country>
      </address>
    </facility>
  </location>
  <location>
    <facility>
      <name>University of Cape Town</name>
      <address>
        <city>Rondebosch</city>
        <state>Cape Town</state>
        <zip>7701</zip>
        <country>South Africa</country>
      </address>
    </facility>
  </location>
  <location>
    <facility>
      <name>Department of Health at University of Bath</name>
      <address>
        <city>Bath</city>
        <zip>BA2 7AY</zip>
        <country>United Kingdom</country>
      </address>
    </facility>
  </location>
  <location_countries>
    <country>Australia</country>
    <country>Brazil</country>
    <country>Canada</country>
    <country>China</country>
    <country>Colombia</country>
    <country>Finland</country>
    <country>India</country>
    <country>Kenya</country>
    <country>Portugal</country>
    <country>South Africa</country>
    <country>United Kingdom</country>
    <country>United States</country>
  </location_countries>
  <results_reference>
    <citation>Katzmarzyk PT, Barreira TV, Broyles ST, Champagne CM, Chaput JP, Fogelholm M, Hu G, Johnson WD, Kuriyan R, Kurpad A, Lambert EV, Maher C, Maia J, Matsudo V, Olds T, Onywera V, Sarmiento OL, Standage M, Tremblay MS, Tudor-Locke C, Zhao P, Church TS. The International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE): design and methods. BMC Public Health. 2013 Sep 30;13:900. doi: 10.1186/1471-2458-13-900.</citation>
    <PMID>24079373</PMID>
  </results_reference>
  <results_reference>
    <citation>Tudor-Locke C, Barreira TV, Schuna JM Jr, Mire EF, Katzmarzyk PT. Fully automated waist-worn accelerometer algorithm for detecting children's sleep-period time separate from 24-h physical activity or sedentary behaviors. Appl Physiol Nutr Metab. 2014 Jan;39(1):53-7. doi: 10.1139/apnm-2013-0173. Epub 2013 Jun 26.</citation>
    <PMID>24383507</PMID>
  </results_reference>
  <results_reference>
    <citation>Barreira TV, Schuna JM Jr, Mire EF, Katzmarzyk PT, Chaput JP, Leduc G, Tudor-Locke C. Identifying children's nocturnal sleep using 24-h waist accelerometry. Med Sci Sports Exerc. 2015 May;47(5):937-43. doi: 10.1249/MSS.0000000000000486.</citation>
    <PMID>25202840</PMID>
  </results_reference>
  <results_reference>
    <citation>Katzmarzyk PT, Barreira TV, Broyles ST, Champagne CM, Chaput JP, Fogelholm M, Hu G, Johnson WD, Kuriyan R, Kurpad A, Lambert EV, Maher C, Maia J, Matsudo V, Olds T, Onywera V, Sarmiento OL, Standage M, Tremblay MS, Tudor-Locke C, Zhao P, Church TS. Physical Activity, Sedentary Time, and Obesity in an International Sample of Children. Med Sci Sports Exerc. 2015 Oct;47(10):2062-9. doi: 10.1249/MSS.0000000000000649.</citation>
    <PMID>25751770</PMID>
  </results_reference>
  <results_reference>
    <citation>Tudor-Locke C, Barreira TV, Schuna JM Jr, Mire EF, Chaput JP, Fogelholm M, Hu G, Kuriyan R, Kurpad A, Lambert EV, Maher C, Maia J, Matsudo V, Olds T, Onywera V, Sarmiento OL, Standage M, Tremblay MS, Zhao P, Church TS, Katzmarzyk PT; ISCOLE Research Group. Improving wear time compliance with a 24-hour waist-worn accelerometer protocol in the International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE). Int J Behav Nutr Phys Act. 2015 Feb 11;12:11. doi: 10.1186/s12966-015-0172-x.</citation>
    <PMID>25881074</PMID>
  </results_reference>
  <results_reference>
    <citation>Pereira S, Gomes TN, Borges A, Santos D, Souza M, dos Santos FK, Chaves RN, Katzmarzyk PT, Maia JA. Variability and Stability in Daily Moderate-to-Vigorous Physical Activity among 10 Year Old Children. Int J Environ Res Public Health. 2015 Aug 7;12(8):9248-63. doi: 10.3390/ijerph120809248.</citation>
    <PMID>26262632</PMID>
  </results_reference>
  <results_reference>
    <citation>Gomes TN, Hedeker D, dos Santos FK, Pereira S, Katzmarzyk PT, Maia JA. Why Are Children Different in Their Daily Sedentariness? An Approach Based on the Mixed-Effects Location Scale Model. PLoS One. 2015 Jul 31;10(7):e0132192. doi: 10.1371/journal.pone.0132192. eCollection 2015.</citation>
    <PMID>26230652</PMID>
  </results_reference>
  <results_reference>
    <citation>Gomes TN, Katzmarzyk PT, dos Santos FK, de Chaves RN, Santos D, Pereira S, Champagne CM, Hedeker D, Maia J. Are BMI and Sedentariness Correlated? A Multilevel Study in Children. Nutrients. 2015 Jul 16;7(7):5889-904. doi: 10.3390/nu7075258.</citation>
    <PMID>26193311</PMID>
  </results_reference>
  <results_reference>
    <citation>Katzmarzyk PT, Barreira TV, Broyles ST, Champagne CM, Chaput JP, Fogelholm M, Hu G, Johnson WD, Kuriyan R, Kurpad A, Lambert EV, Maher C, Maia J, Matsudo V, Olds T, Onywera V, Sarmiento OL, Standage M, Tremblay MS, Tudor-Locke C, Zhao P, Church TS; ISCOLE Research Group. Relationship between lifestyle behaviors and obesity in children ages 9-11: Results from a 12-country study. Obesity (Silver Spring). 2015 Aug;23(8):1696-702. doi: 10.1002/oby.21152. Epub 2015 Jul 14.</citation>
    <PMID>26173093</PMID>
  </results_reference>
  <results_reference>
    <citation>LeBlanc AG, Katzmarzyk PT, Barreira TV, Broyles ST, Chaput JP, Church TS, Fogelholm M, Harrington DM, Hu G, Kuriyan R, Kurpad A, Lambert EV, Maher C, Maia J, Matsudo V, Olds T, Onywera V, Sarmiento OL, Standage M, Tudor-Locke C, Zhao P, Tremblay MS; ISCOLE Research Group. Correlates of Total Sedentary Time and Screen Time in 9-11 Year-Old Children around the World: The International Study of Childhood Obesity, Lifestyle and the Environment. PLoS One. 2015 Jun 11;10(6):e0129622. doi: 10.1371/journal.pone.0129622. eCollection 2015.</citation>
    <PMID>26068231</PMID>
  </results_reference>
  <results_reference>
    <citation>Pereira S, Katzmarzyk PT, Gomes TN, Borges A, Santos D, Souza M, dos Santos FK, Chaves RN, Champagne CM, Barreira TV, Maia JA. Profiling physical activity, diet, screen and sleep habits in Portuguese children. Nutrients. 2015 Jun 2;7(6):4345-62. doi: 10.3390/nu7064345.</citation>
    <PMID>26043034</PMID>
  </results_reference>
  <results_reference>
    <citation>Borghese MM, Tremblay MS, Katzmarzyk PT, Tudor-Locke C, Schuna JM Jr, Leduc G, Boyer C, LeBlanc AG, Chaput JP. Mediating role of television time, diet patterns, physical activity and sleep duration in the association between television in the bedroom and adiposity in 10 year-old children. Int J Behav Nutr Phys Act. 2015 May 13;12:60. doi: 10.1186/s12966-015-0221-5.</citation>
    <PMID>25967920</PMID>
  </results_reference>
  <results_reference>
    <citation>Tudor-Locke C, Mire EF, Dentro KN, Barreira TV, Schuna JM Jr, Zhao P, Tremblay MS, Standage M, Sarmiento OL, Onywera V, Olds T, Matsudo V, Maia J, Maher C, Lambert EV, Kurpad A, Kuriyan R, Hu G, Fogelholm M, Chaput JP, Church TS, Katzmarzyk PT; ISCOLE Research Group. A model for presenting accelerometer paradata in large studies: ISCOLE. Int J Behav Nutr Phys Act. 2015 Apr 20;12:52. doi: 10.1186/s12966-015-0213-5.</citation>
    <PMID>25927615</PMID>
  </results_reference>
  <results_reference>
    <citation>Ferrari GL, Oliveira LC, Araujo TL, Matsudo V, Barreira TV, Tudor-Locke C, Katzmarzyk P. Moderate-to-Vigorous Physical Activity and Sedentary Behavior: Independent Associations With Body Composition Variables in Brazilian Children. Pediatr Exerc Sci. 2015 Aug;27(3):380-9. doi: 10.1123/pes.2014-0150. Epub 2015 Apr 22.</citation>
    <PMID>25902556</PMID>
  </results_reference>
  <results_reference>
    <citation>Ferrari GL, Araujo TL, Oliveira L, Matsudo V, Mire E, Barreira TV, Tudor-Locke C, Katzmarzyk PT. Association Between Television Viewing and Physical Activity in 10-Year-Old Brazilian Children. J Phys Act Health. 2015 Oct;12(10):1401-8. doi: 10.1123/jpah.2014-0406. Epub 2015 Mar 31.</citation>
    <PMID>25831554</PMID>
  </results_reference>
  <results_reference>
    <citation>Borges A, Gomes TN, Santos D, Pereira S, dos Santos FK, Chaves R, Katzmarzyk PT, Maia J. A count model to study the correlates of 60 min of daily physical activity in Portuguese children. Int J Environ Res Public Health. 2015 Feb 26;12(3):2557-73. doi: 10.3390/ijerph120302557.</citation>
    <PMID>25730296</PMID>
  </results_reference>
  <results_reference>
    <citation>Gomes TN, Katzmarzyk PT, dos Santos FK, Souza M, Pereira S, Maia JA. Overweight and obesity in Portuguese children: prevalence and correlates. Int J Environ Res Public Health. 2014 Nov 3;11(11):11398-417. doi: 10.3390/ijerph111111398.</citation>
    <PMID>25372884</PMID>
  </results_reference>
  <results_reference>
    <citation>Gomes TN, dos Santos FK, Santos D, Pereira S, Chaves R, Katzmarzyk PT, Maia J. Correlates of sedentary time in children: a multilevel modelling approach. BMC Public Health. 2014 Aug 30;14:890. doi: 10.1186/1471-2458-14-890.</citation>
    <PMID>25174736</PMID>
  </results_reference>
  <results_reference>
    <citation>Muthuri SK, Wachira LJ, Onywera VO, Tremblay MS. Associations Between Parental Perceptions of the Neighborhood Environment and Childhood Physical Activity: Results from ISCOLE-Kenya. J Phys Act Health. 2016 Mar;13(3):333-43. doi: 10.1123/jpah.2014-0595. Epub 2015 Aug 13.</citation>
    <PMID>26285040</PMID>
  </results_reference>
  <results_reference>
    <citation>Borghese MM, Tremblay MS, Leduc G, Boyer C, Belanger P, LeBlanc AG, Francis C, Chaput JP. Television viewing and food intake during television viewing in normal-weight, overweight and obese 9- to 11-year-old Canadian children: a cross-sectional analysis. J Nutr Sci. 2015 Feb 27;4:e8. doi: 10.1017/jns.2014.72. eCollection 2015.</citation>
    <PMID>26090104</PMID>
  </results_reference>
  <results_reference>
    <citation>LeBlanc AG, Broyles ST, Chaput JP, Leduc G, Boyer C, Borghese MM, Tremblay MS. Correlates of objectively measured sedentary time and self-reported screen time in Canadian children. Int J Behav Nutr Phys Act. 2015 Mar 18;12:38. doi: 10.1186/s12966-015-0197-1.</citation>
    <PMID>25889903</PMID>
  </results_reference>
  <results_reference>
    <citation>Mcneil J, Tremblay MS, Leduc G, Boyer C, Belanger P, Leblanc AG, Borghese MM, Chaput JP. Objectively-measured sleep and its association with adiposity and physical activity in a sample of Canadian children. J Sleep Res. 2015 Apr;24(2):131-9. doi: 10.1111/jsr.12241. Epub 2014 Sep 30.</citation>
    <PMID>25266575</PMID>
  </results_reference>
  <results_reference>
    <citation>Chaput JP, Leduc G, Boyer C, Belanger P, LeBlanc AG, Borghese MM, Tremblay MS. Electronic screens in children's bedrooms and adiposity, physical activity and sleep: do the number and type of electronic devices matter? Can J Public Health. 2014 Jul 11;105(4):e273-9. doi: 10.17269/cjph.105.4511.</citation>
    <PMID>25166130</PMID>
  </results_reference>
  <results_reference>
    <citation>Muthuri SK, Wachira LJ, Onywera VO, Tremblay MS. Direct and self-reported measures of physical activity and sedentary behaviours by weight status in school-aged children: results from ISCOLE-Kenya. Ann Hum Biol. 2015;42(3):237-45. doi: 10.3109/03014460.2014.932847. Epub 2014 Jul 15.</citation>
    <PMID>25026181</PMID>
  </results_reference>
  <results_reference>
    <citation>Borghese MM, Tremblay MS, Leduc G, Boyer C, Belanger P, LeBlanc AG, Francis C, Chaput JP. Independent and combined associations of total sedentary time and television viewing time with food intake patterns of 9- to 11-year-old Canadian children. Appl Physiol Nutr Metab. 2014 Aug;39(8):937-43. doi: 10.1139/apnm-2013-0551. Epub 2014 Mar 14.</citation>
    <PMID>24892903</PMID>
  </results_reference>
  <results_reference>
    <citation>Larouche R, Chaput JP, Leduc G, Boyer C, Belanger P, LeBlanc AG, Borghese MM, Tremblay MS. A cross-sectional examination of socio-demographic and school-level correlates of children's school travel mode in Ottawa, Canada. BMC Public Health. 2014 May 23;14:497. doi: 10.1186/1471-2458-14-497.</citation>
    <PMID>24886211</PMID>
  </results_reference>
  <results_reference>
    <citation>Muthuri SK, Wachira LJ, Onywera VO, Tremblay MS. Correlates of objectively measured overweight/obesity and physical activity in Kenyan school children: results from ISCOLE-Kenya. BMC Public Health. 2014 May 9;14:436. doi: 10.1186/1471-2458-14-436.</citation>
    <PMID>24885924</PMID>
  </results_reference>
  <verification_date>February 2016</verification_date>
  <study_first_submitted>October 29, 2012</study_first_submitted>
  <study_first_submitted_qc>November 3, 2012</study_first_submitted_qc>
  <study_first_posted type="Estimate">November 7, 2012</study_first_posted>
  <last_update_submitted>February 4, 2016</last_update_submitted>
  <last_update_submitted_qc>February 4, 2016</last_update_submitted_qc>
  <last_update_posted type="Estimate">February 5, 2016</last_update_posted>
  <responsible_party>
    <responsible_party_type>Principal Investigator</responsible_party_type>
    <investigator_affiliation>Pennington Biomedical Research Center</investigator_affiliation>
    <investigator_full_name>Peter T. Katzmarzyk</investigator_full_name>
    <investigator_title>Associate Executive Director of Population Science</investigator_title>
  </responsible_party>
  <keyword>International</keyword>
  <keyword>Childhood</keyword>
  <keyword>Obesity</keyword>
  <keyword>ISCOLE</keyword>
  <keyword>Pennington Biomedical Research Center</keyword>
  <keyword>PBRC</keyword>
  <keyword>longitudinal</keyword>
  <keyword>multinational</keyword>
  <condition_browse>
    <!-- CAUTION:  The following MeSH terms are assigned with an imperfect algorithm            -->
    <mesh_term>Obesity</mesh_term>
    <mesh_term>Pediatric Obesity</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/NCT01722500
org study id: PBRC 10042CC
nct id: NCT01722500
lead sponsor: 
collaborator: 
has dmc: Yes
The primary aim of the International Study of Childhood Obesity, Lifestyle and the
      Environment (ISCOLE) is to determine the relationship between lifestyle characteristics and
      obesity in a large multi-national study of 10 year-old children, and to investigate the
      influence of behavioral settings and physical, social and policy environments on the observed
      relationships within each country.
Data will be collected in 12 countries (500 children per site) from five major regions of the
      world (Eurasia & Africa, Europe, Latin America, North America, and the Pacific).
      Cross-sectional evaluations will be undertaken in each country. The physical characteristics
      of the children will be directly measured in order to classify their body weight and
      adiposity status, and physical activity and dietary patterns will be measured with the most
      objective techniques currently available. A concise set of environmental measures that are
      feasible, valid and meaningful across the international settings included in this research
      will also be employed. The results of this study will provide a robust examination of the
      correlates of obesity and weight gain in children, focusing on both sides of the energy
      balance equation. The results will also provide important new information that will inform
      the development of lifestyle interventions to address childhood obesity that can be
      culturally adapted for implementation around the world.
observational model: Cohort
time perspective: Cross-Sectional
measure: Testing of Children
time frame: Baseline
description: BMI (kg/m2)
measure: Testing of Children
time frame: Baseline
description: Waist Circumference (cm)
measure: Testing of Children
time frame: Baseline
description: Percent Body Fat (%)
measure: Testing of Children
time frame: Baseline
description: Physical activity (minutes/day)
measure: Testing of Children
time frame: Baseline
description: Dietary intake (principal components analysis score)
arm group label: 10 year old children
description: 500 children with mean age 10.5 years from each of 12 countries
study pop: 
sampling method: Non-Probability Sample
criteria: 
gender: All
minimum age: 9 Years
maximum age: 11 Years
healthy volunteers: Accepts Healthy Volunteers
last name: Peter T. Katzmarzyk, PhD, FACSM
role: Principal Investigator
affiliation: Pennington Biomedical Research Center
last name: Timothy S. Church, MD, MPH, PhD
role: Principal Investigator
affiliation: Pennington Biomedical Research Center
facility: 
facility: 
facility: 
facility: 
facility: 
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country: Australia
country: Brazil
country: Canada
country: China
country: Colombia
country: Finland
country: India
country: Kenya
country: Portugal
country: South Africa
country: United Kingdom
country: United States
citation: Katzmarzyk PT, Barreira TV, Broyles ST, Champagne CM, Chaput JP, Fogelholm M, Hu G, Johnson WD, Kuriyan R, Kurpad A, Lambert EV, Maher C, Maia J, Matsudo V, Olds T, Onywera V, Sarmiento OL, Standage M, Tremblay MS, Tudor-Locke C, Zhao P, Church TS. The International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE): design and methods. BMC Public Health. 2013 Sep 30;13:900. doi: 10.1186/1471-2458-13-900.
PMID: 24079373
citation: Tudor-Locke C, Barreira TV, Schuna JM Jr, Mire EF, Katzmarzyk PT. Fully automated waist-worn accelerometer algorithm for detecting children's sleep-period time separate from 24-h physical activity or sedentary behaviors. Appl Physiol Nutr Metab. 2014 Jan;39(1):53-7. doi: 10.1139/apnm-2013-0173. Epub 2013 Jun 26.
PMID: 24383507
citation: Barreira TV, Schuna JM Jr, Mire EF, Katzmarzyk PT, Chaput JP, Leduc G, Tudor-Locke C. Identifying children's nocturnal sleep using 24-h waist accelerometry. Med Sci Sports Exerc. 2015 May;47(5):937-43. doi: 10.1249/MSS.0000000000000486.
PMID: 25202840
citation: Katzmarzyk PT, Barreira TV, Broyles ST, Champagne CM, Chaput JP, Fogelholm M, Hu G, Johnson WD, Kuriyan R, Kurpad A, Lambert EV, Maher C, Maia J, Matsudo V, Olds T, Onywera V, Sarmiento OL, Standage M, Tremblay MS, Tudor-Locke C, Zhao P, Church TS. Physical Activity, Sedentary Time, and Obesity in an International Sample of Children. Med Sci Sports Exerc. 2015 Oct;47(10):2062-9. doi: 10.1249/MSS.0000000000000649.
PMID: 25751770
citation: Tudor-Locke C, Barreira TV, Schuna JM Jr, Mire EF, Chaput JP, Fogelholm M, Hu G, Kuriyan R, Kurpad A, Lambert EV, Maher C, Maia J, Matsudo V, Olds T, Onywera V, Sarmiento OL, Standage M, Tremblay MS, Zhao P, Church TS, Katzmarzyk PT; ISCOLE Research Group. Improving wear time compliance with a 24-hour waist-worn accelerometer protocol in the International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE). Int J Behav Nutr Phys Act. 2015 Feb 11;12:11. doi: 10.1186/s12966-015-0172-x.
PMID: 25881074
citation: Pereira S, Gomes TN, Borges A, Santos D, Souza M, dos Santos FK, Chaves RN, Katzmarzyk PT, Maia JA. Variability and Stability in Daily Moderate-to-Vigorous Physical Activity among 10 Year Old Children. Int J Environ Res Public Health. 2015 Aug 7;12(8):9248-63. doi: 10.3390/ijerph120809248.
PMID: 26262632
citation: Gomes TN, Hedeker D, dos Santos FK, Pereira S, Katzmarzyk PT, Maia JA. Why Are Children Different in Their Daily Sedentariness? An Approach Based on the Mixed-Effects Location Scale Model. PLoS One. 2015 Jul 31;10(7):e0132192. doi: 10.1371/journal.pone.0132192. eCollection 2015.
PMID: 26230652
citation: Gomes TN, Katzmarzyk PT, dos Santos FK, de Chaves RN, Santos D, Pereira S, Champagne CM, Hedeker D, Maia J. Are BMI and Sedentariness Correlated? A Multilevel Study in Children. Nutrients. 2015 Jul 16;7(7):5889-904. doi: 10.3390/nu7075258.
PMID: 26193311
citation: Katzmarzyk PT, Barreira TV, Broyles ST, Champagne CM, Chaput JP, Fogelholm M, Hu G, Johnson WD, Kuriyan R, Kurpad A, Lambert EV, Maher C, Maia J, Matsudo V, Olds T, Onywera V, Sarmiento OL, Standage M, Tremblay MS, Tudor-Locke C, Zhao P, Church TS; ISCOLE Research Group. Relationship between lifestyle behaviors and obesity in children ages 9-11: Results from a 12-country study. Obesity (Silver Spring). 2015 Aug;23(8):1696-702. doi: 10.1002/oby.21152. Epub 2015 Jul 14.
PMID: 26173093
citation: LeBlanc AG, Katzmarzyk PT, Barreira TV, Broyles ST, Chaput JP, Church TS, Fogelholm M, Harrington DM, Hu G, Kuriyan R, Kurpad A, Lambert EV, Maher C, Maia J, Matsudo V, Olds T, Onywera V, Sarmiento OL, Standage M, Tudor-Locke C, Zhao P, Tremblay MS; ISCOLE Research Group. Correlates of Total Sedentary Time and Screen Time in 9-11 Year-Old Children around the World: The International Study of Childhood Obesity, Lifestyle and the Environment. PLoS One. 2015 Jun 11;10(6):e0129622. doi: 10.1371/journal.pone.0129622. eCollection 2015.
PMID: 26068231
citation: Pereira S, Katzmarzyk PT, Gomes TN, Borges A, Santos D, Souza M, dos Santos FK, Chaves RN, Champagne CM, Barreira TV, Maia JA. Profiling physical activity, diet, screen and sleep habits in Portuguese children. Nutrients. 2015 Jun 2;7(6):4345-62. doi: 10.3390/nu7064345.
PMID: 26043034
citation: Borghese MM, Tremblay MS, Katzmarzyk PT, Tudor-Locke C, Schuna JM Jr, Leduc G, Boyer C, LeBlanc AG, Chaput JP. Mediating role of television time, diet patterns, physical activity and sleep duration in the association between television in the bedroom and adiposity in 10 year-old children. Int J Behav Nutr Phys Act. 2015 May 13;12:60. doi: 10.1186/s12966-015-0221-5.
PMID: 25967920
citation: Tudor-Locke C, Mire EF, Dentro KN, Barreira TV, Schuna JM Jr, Zhao P, Tremblay MS, Standage M, Sarmiento OL, Onywera V, Olds T, Matsudo V, Maia J, Maher C, Lambert EV, Kurpad A, Kuriyan R, Hu G, Fogelholm M, Chaput JP, Church TS, Katzmarzyk PT; ISCOLE Research Group. A model for presenting accelerometer paradata in large studies: ISCOLE. Int J Behav Nutr Phys Act. 2015 Apr 20;12:52. doi: 10.1186/s12966-015-0213-5.
PMID: 25927615
citation: Ferrari GL, Oliveira LC, Araujo TL, Matsudo V, Barreira TV, Tudor-Locke C, Katzmarzyk P. Moderate-to-Vigorous Physical Activity and Sedentary Behavior: Independent Associations With Body Composition Variables in Brazilian Children. Pediatr Exerc Sci. 2015 Aug;27(3):380-9. doi: 10.1123/pes.2014-0150. Epub 2015 Apr 22.
PMID: 25902556
citation: Ferrari GL, Araujo TL, Oliveira L, Matsudo V, Mire E, Barreira TV, Tudor-Locke C, Katzmarzyk PT. Association Between Television Viewing and Physical Activity in 10-Year-Old Brazilian Children. J Phys Act Health. 2015 Oct;12(10):1401-8. doi: 10.1123/jpah.2014-0406. Epub 2015 Mar 31.
PMID: 25831554
citation: Borges A, Gomes TN, Santos D, Pereira S, dos Santos FK, Chaves R, Katzmarzyk PT, Maia J. A count model to study the correlates of 60 min of daily physical activity in Portuguese children. Int J Environ Res Public Health. 2015 Feb 26;12(3):2557-73. doi: 10.3390/ijerph120302557.
PMID: 25730296
citation: Gomes TN, Katzmarzyk PT, dos Santos FK, Souza M, Pereira S, Maia JA. Overweight and obesity in Portuguese children: prevalence and correlates. Int J Environ Res Public Health. 2014 Nov 3;11(11):11398-417. doi: 10.3390/ijerph111111398.
PMID: 25372884
citation: Gomes TN, dos Santos FK, Santos D, Pereira S, Chaves R, Katzmarzyk PT, Maia J. Correlates of sedentary time in children: a multilevel modelling approach. BMC Public Health. 2014 Aug 30;14:890. doi: 10.1186/1471-2458-14-890.
PMID: 25174736
citation: Muthuri SK, Wachira LJ, Onywera VO, Tremblay MS. Associations Between Parental Perceptions of the Neighborhood Environment and Childhood Physical Activity: Results from ISCOLE-Kenya. J Phys Act Health. 2016 Mar;13(3):333-43. doi: 10.1123/jpah.2014-0595. Epub 2015 Aug 13.
PMID: 26285040
citation: Borghese MM, Tremblay MS, Leduc G, Boyer C, Belanger P, LeBlanc AG, Francis C, Chaput JP. Television viewing and food intake during television viewing in normal-weight, overweight and obese 9- to 11-year-old Canadian children: a cross-sectional analysis. J Nutr Sci. 2015 Feb 27;4:e8. doi: 10.1017/jns.2014.72. eCollection 2015.
PMID: 26090104
citation: LeBlanc AG, Broyles ST, Chaput JP, Leduc G, Boyer C, Borghese MM, Tremblay MS. Correlates of objectively measured sedentary time and self-reported screen time in Canadian children. Int J Behav Nutr Phys Act. 2015 Mar 18;12:38. doi: 10.1186/s12966-015-0197-1.
PMID: 25889903
citation: Mcneil J, Tremblay MS, Leduc G, Boyer C, Belanger P, Leblanc AG, Borghese MM, Chaput JP. Objectively-measured sleep and its association with adiposity and physical activity in a sample of Canadian children. J Sleep Res. 2015 Apr;24(2):131-9. doi: 10.1111/jsr.12241. Epub 2014 Sep 30.
PMID: 25266575
citation: Chaput JP, Leduc G, Boyer C, Belanger P, LeBlanc AG, Borghese MM, Tremblay MS. Electronic screens in children's bedrooms and adiposity, physical activity and sleep: do the number and type of electronic devices matter? Can J Public Health. 2014 Jul 11;105(4):e273-9. doi: 10.17269/cjph.105.4511.
PMID: 25166130
citation: Muthuri SK, Wachira LJ, Onywera VO, Tremblay MS. Direct and self-reported measures of physical activity and sedentary behaviours by weight status in school-aged children: results from ISCOLE-Kenya. Ann Hum Biol. 2015;42(3):237-45. doi: 10.3109/03014460.2014.932847. Epub 2014 Jul 15.
PMID: 25026181
citation: Borghese MM, Tremblay MS, Leduc G, Boyer C, Belanger P, LeBlanc AG, Francis C, Chaput JP. Independent and combined associations of total sedentary time and television viewing time with food intake patterns of 9- to 11-year-old Canadian children. Appl Physiol Nutr Metab. 2014 Aug;39(8):937-43. doi: 10.1139/apnm-2013-0551. Epub 2014 Mar 14.
PMID: 24892903
citation: Larouche R, Chaput JP, Leduc G, Boyer C, Belanger P, LeBlanc AG, Borghese MM, Tremblay MS. A cross-sectional examination of socio-demographic and school-level correlates of children's school travel mode in Ottawa, Canada. BMC Public Health. 2014 May 23;14:497. doi: 10.1186/1471-2458-14-497.
PMID: 24886211
citation: Muthuri SK, Wachira LJ, Onywera VO, Tremblay MS. Correlates of objectively measured overweight/obesity and physical activity in Kenyan school children: results from ISCOLE-Kenya. BMC Public Health. 2014 May 9;14:436. doi: 10.1186/1471-2458-14-436.
PMID: 24885924
responsible party type: Principal Investigator
investigator affiliation: Pennington Biomedical Research Center
investigator full name: Peter T. Katzmarzyk
investigator title: Associate Executive Director of Population Science
mesh term: Obesity
mesh term: Pediatric Obesity
sharing ipd: No