CoRonavIruS health Impact Survey (CRISIS)
The CoRonavIruS health Impact Survey (CRISIS) assesses mental, behavioral, and physical health effects of the Covid-19 pandemic, as well as a range of pandemic-related and pre-existing risk and protective factors. The baseline version of the CRISIS assesses the following domains: background information about the household, physical and mental health prior to the Covid-19 pandemic, Covid-19 exposure and infection status, life changes due to the pandemic, Covid-19-related concerns, current well-being, and behavioral factors such as media use, sleep and physical activity. The follow-up version excludes the sections on the background information and health prior to the Covid-19 pandemic. There are adult, parent-report, child- and adolescent versions available.
In YOUth, a Dutch self-translated version of the CRISIS was used. For both the primary parent and the other parent, a baseline measurement took place in April/May of 2020 (round 1), followed by follow-ups in May/June of 2020 (round 2), September/October of 2020 (round 3), February/March of 2021 (round 4), December/January of 2022 (round 5) and July/August of 2022 (round 6b).
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0 months - 5 months From 2015-07-23 to 2023-11-01 0 months - 6 months From 2015-09-25 to 2023-11-01 0 months From 2015-11-16 to 2023-11-01 4 months - 7 months From 2016-05-27 to 2023-11-01 9 months - 16 months From 2016-08-22 to 2023-11-01 24 months - 5.0 years From 2018-06-22 to 2023-11-01 5.0 - 7.0 years From 2022-07-01 to 2023-11-01 8.0 - 10.0 years From 2016-03-14 to 2020-04-14 11.0 - 16.0 years From 2019-07-04 to 2022-12-01 |
Mode of collection | SelfAdministeredQuestionnaire |
Analysis unit | Individual |
Instrument name | CoRonavIruS health Impact Survey (CRISIS) |
Alternate name | Crisis baseline and follow-up |
Measure name | Crisis baseline and follow-up |
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Measure was collected within the following cohort study:
Purpose | To understand brain and behavioral development of children, we measure a broad range of biological, child-related and environmental determinants. Specifically, we investigate how these determinants influence the development of social competence and behavioral control, and how this relationship is mediated by the developing brain. |
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Time method | Longitudinal |
Universe | YOUth stands for Youth Of Utrecht, as we aim to include a population-based sample from Utrecht and its surrounding areas in the Netherlands. The region from which the participants are recruited is a densely populated region that combines both urban and rural areas, and covers the province of Utrecht and a few cities on the borders of this province. The catchment area of YOUth represents approximately 7.6 % of the Dutch population of currently over 17 million inhabitants in the country. Approximately 16 % of the inhabitants of the province of Utrecht are 0–10 years old. Compared to the rest of the Netherlands, inhabitants of the province of Utrecht are relatively highly educated; In 2015 approximately 38 % of the population was highly educated compared to 28 % in the rest of the country. |
Measure was collected within the following cohort(s):
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Description | The YOUth Baby & Child cohort includes 3000 pregnant women at 20 weeks of pregnancy, and their partners. The children that were born from these pregnancies visit our Child Research Center at several moments during their lives and are followed for at least 6 years. |
Purpose | To understand brain and behavioral development of children, we measure a broad range of biological, child-related and environmental determinants. Specifically, we investigate how these determinants influence the development of social competence and behavioral control and how this relationship is mediated by the developing brain. |
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Country code | NL |
Geographic location | Utrecht region |
Lowest geographic reference | postal code |
Highest geographic reference | country |
Cohort universe description | Children aged 0-6 from the Utrecht region |
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Additional info (URL) | https://doi.org/10.24416/UU01-729A2Y |
Additional information | Dummy data for all YOUth data are publicly available via Yoda. |
Time method | Longitudinal.CohortEventBased |
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Description | The YOUth Child & Adolescent cohort includes 1338 children aged 8, 9 or 10 and their parents through primary schools and events. For a subset of these children, data from a second measurement wave (Around 12 years old) is available. |
Purpose | To understand brain and behavioral development of children, we measure a broad range of biological, child-related and environmental determinants. Specifically, we investigate how these determinants influence the development of social competence and behavioral control and how this relationship is mediated by the developing brain. |
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Country code | NL |
Geographic location | Utrecht region |
Lowest geographic reference | postal code |
Highest geographic reference | country |
Cohort universe description | Children aged 8 to 16 from the Utrecht region |
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Additional info (URL) | https://doi.org/10.24416/UU01-729A2Y |
Additional information | Dummy data for all YOUth data are publicly available via Yoda. |
Time method | Longitudinal.CohortEventBased |
Measure was collected within the following wave(s):
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Short description of the wave | The 20w wave in the YOUth Baby & Child Cohort consisted of biological measurements and questionnaires measured among women who were pregnant for around 20 weeks, and their partners. |
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(sub) cohort | YOUth: Baby and Child |
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Start date wave collection | 2015-07-23 |
End date wave collection | 2023-11-01 |
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Description of physical data product | Digital files, biomedical samples |
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Short description of the wave | The 30w wave in the YOUth Baby & Child Cohort consisted of biological measurements and questionnaires measured among women who were pregnant for around 30 weeks, and their partners. |
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(sub) cohort | YOUth: Baby and Child |
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Start date wave collection | 2015-09-25 |
End date wave collection | 2023-11-01 |
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Description of physical data product | Digital files, biomedical samples |
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Short description of the wave | The 0m wave in the YOUth Baby & Child Cohort consisted of biological measurements, fetal Magnetic Resonance Imaging (MRI), and questionnaires measured among women who had recently given birth, and their partners. |
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(sub) cohort | YOUth: Baby and Child |
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Start date wave collection | 2015-11-16 |
End date wave collection | 2023-11-01 |
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Description of physical data product | Digital files, biomedical samples |
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Short description of the wave | The 5m wave in the YOUth Baby & Child Cohort consisted of tasks, electroencephalograpy (EEG), eyetracking and biological measurements, and parent-child interaction among children aged around 5 months of age, and questionnaires filled out by their parents. |
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(sub) cohort | YOUth: Baby and Child |
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Start date wave collection | 2016-05-27 |
End date wave collection | 2023-11-01 |
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Description of physical data product | Digital files, biomedical samples |
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Short description of the wave | The 10m wave in the YOUth Baby & Child Cohort consisted of tasks, electroencephalograpy (EEG), eyetracking, and biological measurements, and parent-child interaction among children aged around 10 months of age, and questionnaires filled out by their parents. |
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(sub) cohort | YOUth: Baby and Child |
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Start date wave collection | 2016-08-22 |
End date wave collection | 2023-11-01 |
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Description of physical data product | Digital files, biomedical samples |
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Short description of the wave | The 3y wave in the YOUth Baby & Child Cohort consisted of tasks, electroencephalograpy (EEG), eyetracking, and biological measurements, and parent-child interaction among children aged 2-4 years old and questionnaires filled out by their parents. |
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(sub) cohort | YOUth: Baby and Child |
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Start date wave collection | 2018-06-22 |
End date wave collection | 2023-11-01 |
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Description of physical data product | Digital files, biomedical samples |
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Short description of the wave | The 6y wave in the YOUth Baby & Child Cohort consisted of tasks, electroencephalograpy (EEG), eyetracking, and biological measurements, and parent-child interaction among children aged 5-7 years old and questionnaires filled out by their parents. |
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(sub) cohort | YOUth: Baby and Child |
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Start date wave collection | 2022-07-01 |
End date wave collection | 2023-11-01 |
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Description of physical data product | Digital files, biomedical samples |
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Short description of the wave | The 9y wave in the YOUth Child & Adolescent Cohort consisted of questionnaires, biological samples (blood, buccal, saliva, hair), eyetracking, Magnetic Resonance Imaging (MRI), tasks, and parent-child interaction measured among children aged 8-10 years old and their parents, and a teacher-report questionnaire. |
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(sub) cohort | YOUth: Child and Adolescent |
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Start date wave collection | 2016-03-14 |
End date wave collection | 2020-04-14 |
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Description of physical data product | Digital files, biomedical samples |
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Short description of the wave | The 12y wave in the YOUth Child & Adolescent Cohort consisted of questionnaires, biological samples (blood, buccal, saliva, hair), eyetracking, Magnetic Resonance Imaging (MRI), tasks, and parent-child interaction measured among children aged 11-16 years old, and questionnaires filled out by their parents. Originally, the 12y wave was intended to measure 11-13 year old children, but due to the Covid-19 pandemic and other factors, the 12y and the 15y waves had to merged. |
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(sub) cohort | YOUth: Child and Adolescent |
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Start date wave collection | 2019-07-04 |
End date wave collection | 2022-12-01 |
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Description of physical data product | Digital files, biomedical samples |
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author | None |
author_email | None |
creator_user_id | 34768773-4537-4d74-8d9d-11e2b32cbbaf |
dc_additional_info | In YOUth, a Dutch self-translated version of the CRISIS was used. For both the primary parent and the other parent, a baseline measurement took place in April/May of 2020 (round 1), followed by follow-ups in May/June of 2020 (round 2), September/October of 2020 (round 3), February/March of 2021 (round 4), December/January of 2022 (round 5) and July/August of 2022 (round 6b). |
dc_alternate_name | Crisis baseline and follow-up |
dc_analysis_unit | {Individual} |
dc_cohort | YOUth |
dc_common_id | 0101_CD2 |
dc_instrument_name | CoRonavIruS health Impact Survey (CRISIS) |
dc_measure_name | Crisis baseline and follow-up |
id | 47ef0566-e7e8-40da-bef0-036ae6aabda0 |
isopen | False |
license_title | None |
maintainer | None |
maintainer_email | None |
metadata_created | 2024-10-17T11:44:57.244263 |
metadata_modified | 2024-10-20T12:24:47.666328 |
name | 927913c113ca8e19287543066f9abff0 |
notes | The CoRonavIruS health Impact Survey (CRISIS) assesses mental, behavioral, and physical health effects of the Covid-19 pandemic, as well as a range of pandemic-related and pre-existing risk and protective factors. The baseline version of the CRISIS assesses the following domains: background information about the household, physical and mental health prior to the Covid-19 pandemic, Covid-19 exposure and infection status, life changes due to the pandemic, Covid-19-related concerns, current well-being, and behavioral factors such as media use, sleep and physical activity. The follow-up version excludes the sections on the background information and health prior to the Covid-19 pandemic. There are adult, parent-report, child- and adolescent versions available. |
num_resources | 0 |
num_tags | 0 |
organization | {'id': 'c64f3b11-639d-4246-ac50-2e6d78c8d155', 'name': 'youth', 'title': 'YOUth', 'type': 'organization', 'description': "YOUth is a large-scale longitudinal cohort study following children from the city of Utrecht and its surrounding areas in their development from pregnancy until early adulthood. The YOUth cohort focuses on neurocognitive development involved in two core characteristics of behavioral development: social competence and behavioral control. YOUth includes children from the general population to cover the whole range of variation in behavioral development, ranging from uncomplicated development, through problem behavior, to psychiatric disorders. To understand why some children develop problematic behavior, and others show resilience, YOUth measures a broad range of biological, child-related and environmental determinants.YOUth conducts repeated measurements at regular intervals (i.e. 'waves'). Specifically, the study has two inclusion moments: YOUth Baby & Child and YOUth Child & Adolescent. YOUth applies a flexible longitudinal design to the cohorts, meaning that children are measured at broader age ranges (3-year age ranges) at each wave. The main benefit of the flexible age design is that it provides more detailed information on the neurodevelopmental curves over time.An extensive data set is generated, including 3D-ultrasound sweeps of the fetal brain, eye tracking, EEG, (f)MRI, computer tasks, cognitive measurements and parent-child observations. We also collect a broad range of questionnaires on behavior, personality, health, lifestyle, parenting, child development, use of (social) media and more. Finally, (umbilical) blood samples, buccal swabs, saliva and hair samples are collected at each visit, and stored in the UMC Utrecht Biobank.", 'image_url': 'https://data.individualdevelopment.nl/img/logo_youth.png', 'created': '2024-10-17T13:42:26.820616', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'} |
owner_org | c64f3b11-639d-4246-ac50-2e6d78c8d155 |
private | False |
state | active |
title | CoRonavIruS health Impact Survey (CRISIS) |
type | measure |
cohort | [{'cohort_alternate_title': ['YOUth Baby and Child', 'Baby & Child', 'YOUth baby en kind'], 'cohort_description': 'The YOUth Baby & Child cohort includes 3000 pregnant women at 20 weeks of pregnancy, and their partners. The children that were born from these pregnancies visit our Child Research Center at several moments during their lives and are followed for at least 6 years.', 'cohort_info_description': 'Dummy data for all YOUth data are publicly available via Yoda.', 'cohort_info_url': 'https://doi.org/10.24416/UU01-729A2Y', 'cohort_language': 'NL', 'cohort_purpose': 'To understand brain and behavioral development of children, we measure a broad range of biological, child-related and environmental determinants. 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'cohort_contributor_identifier_type': 'ORCID', 'cohort_contributor_pid': '0000-0001-9015-3550'}], 'cohort_creator': [{'cohort_creator_affiliation': 'Utrecht University', 'cohort_creator_affiliation_identifier': 'https://ror.org/04pp8hn57', 'cohort_creator_affiliation_identifier_scheme': 'ROR', 'cohort_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'cohort_creator_identifier_schemeuri': 'https://orcid.org/', 'cohort_creator_identifier_type': 'ORCID', 'cohort_creator_name': 'Kemner, Chantal', 'cohort_creator_pid': '0000-0002-8879-2588'}], 'cohort_funding': [{'cohort_funder': 'Dutch Research Council', 'cohort_funder_award_title': 'Gravitation program', 'cohort_funder_identifier': 'https://ror.org/04jsz6e67', 'cohort_funder_identifier_schemuri': 'https://ror.org/', 'cohort_funder_identifier_type': 'ROR', 'cohort_grant_number': '024.001.003'}], 'cohort_publisher': [{'cohort_publisher_identifier': 'https://ror.org/04pp8hn57', 'cohort_publisher_identifier_type': 'ROR', 'cohort_publisher_name': 'Utrecht University'}, {'cohort_publisher_identifier': 'https://ror.org/0575yy874', 'cohort_publisher_identifier_type': 'ROR', 'cohort_publisher_name': 'University Medical Center Utrecht'}], 'cohort_references': [{'cohort_reference_citation': 'Onland-Moret, N. C., Buizer-Voskamp, J. E., Albers, M. E., Brouwer, R. M., Buimer, E. E., Hessels, R. S., ... & Kemner, C. (2020). The YOUth study: Rationale, design, and study procedures. Developmental cognitive neuroscience, 46, 100868. https://doi.org/10.1016/j.dcn.2020.100868', 'cohort_reference_identifier': 'https://doi.org/10.1016/j.dcn.2020.100868', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}]}, {'cohort_alternate_title': ['YOUth Child and Adolescent', 'Child & Adolescent', 'YOUth kind en tiener'], 'cohort_description': 'The YOUth Child & Adolescent\xa0cohort includes 1338 children aged 8, 9 or 10\xa0and their parents through primary schools and events. For a subset of these children, data from a second measurement wave (Around 12 years old) is available.', 'cohort_info_description': 'Dummy data for all YOUth data are publicly available via Yoda.', 'cohort_info_url': 'https://doi.org/10.24416/UU01-729A2Y', 'cohort_language': 'NL', 'cohort_purpose': 'To understand brain and behavioral development of children, we measure a broad range of biological, child-related and environmental determinants. Specifically, we investigate how these determinants influence the development of social competence and behavioral control and how this relationship is mediated by the developing brain.', 'cohort_spatial_country_code': 'NL', 'cohort_spatial_geographic_location': 'Utrecht region', 'cohort_spatial_highest_reference': 'country', 'cohort_spatial_lowest_reference': 'postal code', 'cohort_time_method': 'Longitudinal.CohortEventBased', 'cohort_title': 'YOUth: Child and Adolescent', 'cohort_universe': 'Children aged 8 to 16 from the Utrecht region', 'cohort_contributor': [{'cohort_contributor': 'Scholten, Ron', 'cohort_contributor_affiliation': 'Utrecht University', 'cohort_contributor_affiliation_identifier': 'https://ror.org/04pp8hn57', 'cohort_contributor_affiliation_identifier_scheme': 'ROR', 'cohort_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'cohort_contributor_identifier_schemeuri': 'https://orcid.org/', 'cohort_contributor_identifier_type': 'ORCID', 'cohort_contributor_pid': '0000-0002-4571-8855'}, {'cohort_contributor': 'Hulshoff Pol, Hilleke', 'cohort_contributor_affiliation': 'Utrecht University', 'cohort_contributor_affiliation_identifier': 'https://ror.org/04pp8hn57', 'cohort_contributor_affiliation_identifier_scheme': 'ROR', 'cohort_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'cohort_contributor_identifier_schemeuri': 'https://orcid.org/', 'cohort_contributor_identifier_type': 'ORCID', 'cohort_contributor_pid': '0000-0002-2038-5281'}, {'cohort_contributor': 'Bos, Dienke', 'cohort_contributor_affiliation': 'Utrecht University', 'cohort_contributor_affiliation_identifier': 'https://ror.org/04pp8hn57', 'cohort_contributor_affiliation_identifier_scheme': 'ROR', 'cohort_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'cohort_contributor_identifier_schemeuri': 'https://orcid.org/', 'cohort_contributor_identifier_type': 'ORCID', 'cohort_contributor_pid': '0000-0002-0427-4573'}, {'cohort_contributor': 'Veldkamp, Coosje', 'cohort_contributor_affiliation': 'Utrecht University', 'cohort_contributor_affiliation_identifier': 'https://ror.org/04pp8hn57', 'cohort_contributor_affiliation_identifier_scheme': 'ROR', 'cohort_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'cohort_contributor_identifier_schemeuri': 'https://orcid.org/', 'cohort_contributor_identifier_type': 'ORCID', 'cohort_contributor_pid': '0000-0003-3596-5980'}, {'cohort_contributor': 'Pas, Pascal', 'cohort_contributor_affiliation': 'Utrecht University', 'cohort_contributor_affiliation_identifier': 'https://ror.org/04pp8hn57', 'cohort_contributor_affiliation_identifier_scheme': 'ROR', 'cohort_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'cohort_contributor_identifier_schemeuri': 'https://orcid.org/', 'cohort_contributor_identifier_type': 'ORCID', 'cohort_contributor_pid': '0000-0002-2200-7591'}, {'cohort_contributor': 'van Wielink, Lilli', 'cohort_contributor_affiliation': 'Utrecht University', 'cohort_contributor_affiliation_identifier': 'https://ror.org/04pp8hn57', 'cohort_contributor_affiliation_identifier_scheme': 'ROR', 'cohort_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'cohort_contributor_identifier_schemeuri': '', 'cohort_contributor_identifier_type': '', 'cohort_contributor_pid': ''}, {'cohort_contributor': 'Witsenboer, Marije', 'cohort_contributor_affiliation': 'Utrecht University', 'cohort_contributor_affiliation_identifier': 'https://ror.org/04pp8hn57', 'cohort_contributor_affiliation_identifier_scheme': 'ROR', 'cohort_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'cohort_contributor_identifier_schemeuri': '', 'cohort_contributor_identifier_type': '', 'cohort_contributor_pid': ''}, {'cohort_contributor': 'Bekker, Mireille', 'cohort_contributor_affiliation': 'University Medical Center Utrecht', 'cohort_contributor_affiliation_identifier': 'https://ror.org/0575yy874', 'cohort_contributor_affiliation_identifier_scheme': 'ROR', 'cohort_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'cohort_contributor_identifier_schemeuri': 'https://orcid.org/', 'cohort_contributor_identifier_type': 'ORCID', 'cohort_contributor_pid': '0000-0002-7372-4291'}, {'cohort_contributor': 'van den Boomen, Carlijn', 'cohort_contributor_affiliation': 'Utrecht University', 'cohort_contributor_affiliation_identifier': 'https://ror.org/04pp8hn57', 'cohort_contributor_affiliation_identifier_scheme': 'ROR', 'cohort_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'cohort_contributor_identifier_schemeuri': 'https://orcid.org/', 'cohort_contributor_identifier_type': 'ORCID', 'cohort_contributor_pid': '0000-0002-0110-9919'}, {'cohort_contributor': 'Gehring, Ulrike', 'cohort_contributor_affiliation': 'Utrecht University', 'cohort_contributor_affiliation_identifier': 'https://ror.org/04pp8hn57', 'cohort_contributor_affiliation_identifier_scheme': 'ROR', 'cohort_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'cohort_contributor_identifier_schemeuri': 'https://orcid.org/', 'cohort_contributor_identifier_type': 'ORCID', 'cohort_contributor_pid': '0000-0003-3612-5780'}, {'cohort_contributor': 'Hessels, Roy', 'cohort_contributor_affiliation': 'Utrecht University', 'cohort_contributor_affiliation_identifier': 'https://ror.org/04pp8hn57', 'cohort_contributor_affiliation_identifier_scheme': 'ROR', 'cohort_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'cohort_contributor_identifier_schemeuri': 'https://orcid.org/', 'cohort_contributor_identifier_type': 'ORCID', 'cohort_contributor_pid': '0000-0002-4907-1067'}, {'cohort_contributor': 'Huijding, Jorg', 'cohort_contributor_affiliation': 'Utrecht University', 'cohort_contributor_affiliation_identifier': 'https://ror.org/04pp8hn57', 'cohort_contributor_affiliation_identifier_scheme': 'ROR', 'cohort_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'cohort_contributor_identifier_schemeuri': 'https://orcid.org/', 'cohort_contributor_identifier_type': 'ORCID', 'cohort_contributor_pid': '0000-0002-9320-9959'}, {'cohort_contributor': 'Junge, Caroline', 'cohort_contributor_affiliation': 'Utrecht University', 'cohort_contributor_affiliation_identifier': 'https://ror.org/04pp8hn57', 'cohort_contributor_affiliation_identifier_scheme': 'ROR', 'cohort_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'cohort_contributor_identifier_schemeuri': 'https://orcid.org/', 'cohort_contributor_identifier_type': 'ORCID', 'cohort_contributor_pid': '0000-0001-9876-8058'}, {'cohort_contributor': 'Leemans, Alexander', 'cohort_contributor_affiliation': 'University Medical Center Utrecht', 'cohort_contributor_affiliation_identifier': 'https://ror.org/0575yy874', 'cohort_contributor_affiliation_identifier_scheme': 'ROR', 'cohort_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'cohort_contributor_identifier_schemeuri': 'https://orcid.org/', 'cohort_contributor_identifier_type': 'ORCID', 'cohort_contributor_pid': '0000-0002-9306-6126'}, {'cohort_contributor': 'Peeters, Margot', 'cohort_contributor_affiliation': 'Utrecht University', 'cohort_contributor_affiliation_identifier': 'https://ror.org/04pp8hn57', 'cohort_contributor_affiliation_identifier_scheme': 'ROR', 'cohort_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'cohort_contributor_identifier_schemeuri': 'https://orcid.org/', 'cohort_contributor_identifier_type': 'ORCID', 'cohort_contributor_pid': '0000-0001-8861-5744'}, {'cohort_contributor': 'Raemaekers, Mathijs', 'cohort_contributor_affiliation': 'University Medical Center Utrecht', 'cohort_contributor_affiliation_identifier': 'https://ror.org/0575yy874', 'cohort_contributor_affiliation_identifier_scheme': 'ROR', 'cohort_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'cohort_contributor_identifier_schemeuri': 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'cohort_contributor_identifier_type': 'ORCID', 'cohort_contributor_pid': '0000-0001-9015-3550'}], 'cohort_creator': [{'cohort_creator_affiliation': 'Utrecht University', 'cohort_creator_affiliation_identifier': 'https://ror.org/04pp8hn57', 'cohort_creator_affiliation_identifier_scheme': 'ROR', 'cohort_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'cohort_creator_identifier_schemeuri': 'https://orcid.org/', 'cohort_creator_identifier_type': 'ORCID', 'cohort_creator_name': 'Kemner, Chantal', 'cohort_creator_pid': '0000-0002-8879-2588'}], 'cohort_funding': [{'cohort_funder': 'Dutch Research Council', 'cohort_funder_award_title': 'Gravitation program', 'cohort_funder_identifier': 'https://ror.org/04jsz6e67', 'cohort_funder_identifier_schemuri': 'https://ror.org/', 'cohort_funder_identifier_type': 'ROR', 'cohort_grant_number': '024.001.003'}], 'cohort_publisher': [{'cohort_publisher_identifier': 'https://ror.org/04pp8hn57', 'cohort_publisher_identifier_type': 'ROR', 'cohort_publisher_name': 'Utrecht University'}, {'cohort_publisher_identifier': 'https://ror.org/0575yy874', 'cohort_publisher_identifier_type': 'ROR', 'cohort_publisher_name': 'University Medical Center Utrecht'}], 'cohort_references': [{'cohort_reference_citation': 'Onland-Moret, N. C., Buizer-Voskamp, J. E., Albers, M. E., Brouwer, R. M., Buimer, E. E., Hessels, R. S., ... & Kemner, C. (2020). The YOUth study: Rationale, design, and study procedures. Developmental cognitive neuroscience, 46, 100868. https://doi.org/10.1016/j.dcn.2020.100868', 'cohort_reference_identifier': 'https://doi.org/10.1016/j.dcn.2020.100868', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}, {'cohort_reference_citation': 'Buimer, E. E., Pas, P., Brouwer, R. M., Froeling, M., Hoogduin, H., Leemans, A., ... & Mandl, R. C. (2020). The YOUth cohort study: MRI protocol and test-retest reliability in adults. Developmental cognitive neuroscience, 45, 100816. https://doi.org/10.1016/j.dcn.2020.100816', 'cohort_reference_identifier': 'https://doi.org/10.1016/j.dcn.2020.100816', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}]}] |
dc_DOI | [{'dc_identifier_type': 'DOI', 'dc_pid': '10.60641/c683-yc02'}] |
dc_constructs | [{'dc_construct': 'mental health'}, {'dc_construct': 'physical health'}] |
dc_labels | [{'dc_label': 'covid-19'}, {'dc_label': 'pandemic'}, {'dc_label': 'covid-19 pandemic'}, {'dc_label': 'physical illness'}, {'dc_label': 'depression'}, {'dc_label': 'living situation'}, {'dc_label': 'health condition'}, {'dc_label': 'covid-19 infection'}, {'dc_label': 'coronavirus'}, {'dc_label': 'covid-19 symptom'}, {'dc_label': 'covid-19 restriction'}, {'dc_label': 'stress'}, {'dc_label': 'social activity'}, {'dc_label': 'relationship quality'}, {'dc_label': 'life events'}, {'dc_label': 'sleep'}, {'dc_label': 'physical exercise'}, {'dc_label': 'worry'}, {'dc_label': 'media use'}, {'dc_label': 'substance use'}, {'dc_label': 'mental wellbeing'}, {'dc_label': 'physical activity'}] |
dc_measurement_references | [{'dc_measurements_references_citation': 'Merikangas, K., Milham, M., Stringaris, A. (2021). The CoRonavIruS Health Impact Survey (CRISIS) V0.3 (2021). Retrieved from: https://github.com/transatlantic-comppsych/CRISIS.', 'dc_measurements_references_doi': 'https://doi.org/10.1038/s41598-021-87270-3'}] |
dc_modes_of_collection | [{'dc_mode_of_collection': 'SelfAdministeredQuestionnaire'}] |
measure_age_range | [{'measure_age_month': 0}, {'measure_age_month': 4}, {'measure_age_month': 5}, {'measure_age_month': 6}, {'measure_age_month': 7}, {'measure_age_month': 9}, {'measure_age_month': 10}, {'measure_age_month': 11}, {'measure_age_month': 12}, {'measure_age_month': 13}, {'measure_age_month': 14}, {'measure_age_month': 15}, {'measure_age_month': 16}, {'measure_age_month': 24}, {'measure_age_month': 25}, {'measure_age_month': 26}, {'measure_age_month': 27}, {'measure_age_month': 28}, {'measure_age_month': 29}, {'measure_age_month': 30}, {'measure_age_month': 31}, {'measure_age_month': 32}, {'measure_age_month': 33}, {'measure_age_month': 34}, {'measure_age_month': 35}, {'measure_age_month': 36}, {'measure_age_month': 37}, {'measure_age_month': 38}, {'measure_age_month': 39}, {'measure_age_month': 40}, {'measure_age_month': 41}, {'measure_age_month': 42}, {'measure_age_month': 43}, {'measure_age_month': 44}, {'measure_age_month': 45}, {'measure_age_month': 46}, {'measure_age_month': 47}, {'measure_age_month': 48}, {'measure_age_month': 49}, {'measure_age_month': 50}, {'measure_age_month': 51}, {'measure_age_month': 52}, {'measure_age_month': 53}, {'measure_age_month': 54}, {'measure_age_month': 55}, {'measure_age_month': 56}, {'measure_age_month': 57}, {'measure_age_month': 58}, {'measure_age_month': 59}, {'measure_age_month': 60}, {'measure_age_month': 61}, {'measure_age_month': 62}, {'measure_age_month': 63}, {'measure_age_month': 64}, {'measure_age_month': 65}, {'measure_age_month': 66}, {'measure_age_month': 67}, {'measure_age_month': 68}, {'measure_age_month': 69}, {'measure_age_month': 70}, {'measure_age_month': 71}, {'measure_age_month': 72}, {'measure_age_month': 73}, {'measure_age_month': 74}, {'measure_age_month': 75}, {'measure_age_month': 76}, {'measure_age_month': 77}, {'measure_age_month': 78}, {'measure_age_month': 79}, {'measure_age_month': 80}, {'measure_age_month': 81}, {'measure_age_month': 82}, {'measure_age_month': 83}, {'measure_age_month': 84}, {'measure_age_month': 96}, {'measure_age_month': 97}, {'measure_age_month': 98}, {'measure_age_month': 99}, {'measure_age_month': 100}, {'measure_age_month': 101}, {'measure_age_month': 102}, {'measure_age_month': 103}, {'measure_age_month': 104}, {'measure_age_month': 105}, {'measure_age_month': 106}, {'measure_age_month': 107}, {'measure_age_month': 108}, {'measure_age_month': 109}, {'measure_age_month': 110}, {'measure_age_month': 111}, {'measure_age_month': 112}, {'measure_age_month': 113}, {'measure_age_month': 114}, {'measure_age_month': 115}, {'measure_age_month': 116}, {'measure_age_month': 117}, {'measure_age_month': 118}, {'measure_age_month': 119}, {'measure_age_month': 120}, {'measure_age_month': 132}, {'measure_age_month': 133}, {'measure_age_month': 134}, {'measure_age_month': 135}, {'measure_age_month': 136}, {'measure_age_month': 137}, {'measure_age_month': 138}, {'measure_age_month': 139}, {'measure_age_month': 140}, {'measure_age_month': 141}, {'measure_age_month': 142}, {'measure_age_month': 143}, {'measure_age_month': 144}, {'measure_age_month': 145}, {'measure_age_month': 146}, {'measure_age_month': 147}, {'measure_age_month': 148}, {'measure_age_month': 149}, {'measure_age_month': 150}, {'measure_age_month': 151}, {'measure_age_month': 152}, {'measure_age_month': 153}, {'measure_age_month': 154}, {'measure_age_month': 155}, {'measure_age_month': 156}, {'measure_age_month': 157}, {'measure_age_month': 158}, {'measure_age_month': 159}, {'measure_age_month': 160}, {'measure_age_month': 161}, {'measure_age_month': 162}, {'measure_age_month': 163}, {'measure_age_month': 164}, {'measure_age_month': 165}, {'measure_age_month': 166}, {'measure_age_month': 167}, {'measure_age_month': 168}, {'measure_age_month': 169}, {'measure_age_month': 170}, {'measure_age_month': 171}, {'measure_age_month': 172}, {'measure_age_month': 173}, {'measure_age_month': 174}, {'measure_age_month': 175}, {'measure_age_month': 176}, {'measure_age_month': 177}, {'measure_age_month': 178}, {'measure_age_month': 179}, {'measure_age_month': 180}, {'measure_age_month': 181}, {'measure_age_month': 182}, {'measure_age_month': 183}, {'measure_age_month': 184}, {'measure_age_month': 185}, {'measure_age_month': 186}, {'measure_age_month': 187}, {'measure_age_month': 188}, {'measure_age_month': 189}, {'measure_age_month': 190}, {'measure_age_month': 191}, {'measure_age_month': 192}] |
study | [{'study_alternate_title': ['YOUth', 'YOUth cohort', 'YOUth cohort study'], 'study_language': 'NL', 'study_purpose': 'To understand brain and behavioral development of children, we measure a broad range of biological, child-related and environmental determinants. Specifically, we investigate how these determinants influence the development of social competence and behavioral control, and how this relationship is mediated by the developing brain.', 'study_time_method': 'Longitudinal', 'study_universe': 'YOUth stands for Youth Of Utrecht, as we aim to include a population-based sample from Utrecht and its surrounding areas in the Netherlands. The region from which the participants are recruited is a densely populated region that combines both urban and rural areas, and covers the province of Utrecht and a few cities on the borders of this province. The catchment area of YOUth represents approximately 7.6 % of the Dutch population of currently over 17 million inhabitants in the country. Approximately 16 % of the inhabitants of the province of Utrecht are 0–10 years old. Compared to the rest of the Netherlands, inhabitants of the province of Utrecht are relatively highly educated; In 2015 approximately 38 % of the population was highly educated compared to 28 % in the rest of the country.', 'title': 'Youth of Utrecht', 'study_contact': [{'study_contact_affiliation': 'Utrecht University', 'study_contact_mail': 'datamanagement.fsw@uu.nl', 'study_contact_name': 'Datamanagement FSW'}], 'study_contributor': [{'study_contributor_affiliation': 'Utrecht University', 'study_contributor_affiliation_identifier': 'https://ror.org/04pp8hn57', 'study_contributor_affiliation_identifier_scheme': 'ROR', 'study_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'study_contributor_identifier_schemeuri': 'https://orcid.org/', 'study_contributor_identifier_type': 'ORCID', 'study_contributor_name': 'Scholten, Ron', 'study_contributor_pid': '0000-0002-4571-8855'}, {'study_contributor_affiliation': 'Utrecht University', 'study_contributor_affiliation_identifier': 'https://ror.org/04pp8hn57', 'study_contributor_affiliation_identifier_scheme': 'ROR', 'study_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'study_contributor_identifier_schemeuri': 'https://orcid.org/', 'study_contributor_identifier_type': 'ORCID', 'study_contributor_name': 'Hulshoff Pol, Hilleke', 'study_contributor_pid': '0000-0002-2038-5281'}, {'study_contributor_affiliation': 'Utrecht University', 'study_contributor_affiliation_identifier': 'https://ror.org/04pp8hn57', 'study_contributor_affiliation_identifier_scheme': 'ROR', 'study_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'study_contributor_identifier_schemeuri': 'https://orcid.org/', 'study_contributor_identifier_type': 'ORCID', 'study_contributor_name': 'Bos, Dienke', 'study_contributor_pid': '0000-0002-0427-4573'}, {'study_contributor_affiliation': 'Utrecht University', 'study_contributor_affiliation_identifier': 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tags | [] |
groups | [] |
relationships_as_subject | [] |
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