Child Oral Health Impact Profile (COHIP) - short form
The Child Oral Health Impact Profile (COHIP) - short form is designed to measure the impact of oral health on children's quality of life. It consists of 11 questions about the child's oral health and how it affects their social-emotional wellbeing, functional wellbeing, and school and peer interaction. The items are scored on a 5-point Likert scale.
In measurement waves 13-14 and 17-18, the COHIP was measured by mobile application.
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8.7 - 12.5 years From 2012-01-01 to 2016-12-31 12.5 - 16.8 years From 2016-01-01 to 2019-12-31 17.0 - 18.0 years From 2020-10-01 (ongoing) |
Mode of collection | SelfAdministeredQuestionnaire |
Analysis unit | Individual |
Instrument name | Child Oral Health Impact Profile (COHIP) - short form |
Measure name | Child's health: Teeth |
References |
Measure was collected within the following cohort study:
Purpose | The purposes of the Generation R study are to (1) describe normal and abnormal growth, development and health from early fetal life to adulthood in a multi-ethnic population; (2) identify (epi-)genetic, biological, social and environmental determinants of this normal and abnormal growth, development and health; and (3) contribute to the development of strategies for optimizing health and healthcare for pregnant women and children. |
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Time method | Longitudinal |
Universe | Youth, and their parents, from the general population followed since prenatal life until young adulthood, all born in Rotterdam, the Netherlands. |
Measure was collected within the following cohort(s):
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Description | The Generation R Study is a population-based prospective cohort study from fetal life until adulthood. The study is designed to identify early environmental and genetic pathways leading to normal and abnormal growth, development and health. An important focus of Generation R is to identify early life determinants of common (mostly non-communicable) diseases in adulthood. Pregnant women living in the Rotterdam area, the Netherlands, were included between 2002 and 2006. After birth, the children and their parents have been followed in multiple assessment waves up until young adulthood. |
Purpose | The purposes of the Generation R study are to (1) describe normal and abnormal growth, development and health from early fetal life to adulthood in a multi-ethnic population; (2) identify (epi-)genetic, biological, social and environmental determinants of this normal and abnormal growth, development and health; and (3) contribute to the development of strategies for optimizing health and healthcare for pregnant women and children. |
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Country code | NL |
Geographic location | 3010-3070 |
Lowest geographic reference | postal code |
Highest geographic reference | city |
Cohort universe description | Pregnant women living in the Rotterdam area, the Netherlands, were included between 2002 and 2006. After birth, the children and their parents have been followed in multiple assessment waves up until young adulthood. |
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Time method | Longitudinal.CohortEventBased |
Measure was collected within the following wave(s):
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Short description of the wave | The 9-10 years wave consisted of parent and child self-reported questionnaires, brain imaging, behavioral assessments, blood samples and anthropometrics measured at a visit to the research center around the age of 10 years (mean age: 9.7 years). |
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(sub) cohort | Generation R: Generation R |
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Start date wave collection | 2012-01-01 |
End date wave collection | 2016-12-31 |
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Description of physical data product | Digital files, biological samples |
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Short description of the wave | The 13-14 years wave consisted of parent and child self-reported questionnaires, brain imaging, behavioral assessments, blood samples and anthropometrics taken during a visit to the research center around the age of 13 years (mean age: 13.6 years). |
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(sub) cohort | Generation R: Generation R |
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Start date wave collection | 2016-01-01 |
End date wave collection | 2019-12-31 |
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Description of physical data product | Digital files, biological samples |
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Short description of the wave | The 17-18 years wave consisted of parent and child self-reported questionnaires, brain imaging, a psychiatric interview, blood samples and anthropometrics taken during a visit to the research center around the age of 18 years. |
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(sub) cohort | Generation R: Generation R |
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Start date wave collection | 2020-10-01 |
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Description of physical data product | Digital files, biological samples |
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author | None |
author_email | None |
creator_user_id | 34768773-4537-4d74-8d9d-11e2b32cbbaf |
dc_additional_info | In measurement waves 13-14 and 17-18, the COHIP was measured by mobile application. |
dc_analysis_unit | {Individual} |
dc_cohort | GenR |
dc_instrument_name | Child Oral Health Impact Profile (COHIP) - short form |
dc_measure_name | Child's health: Teeth |
id | 916b8fcc-4f89-41b4-9473-3d735a3e5f1e |
isopen | False |
license_title | None |
maintainer | None |
maintainer_email | None |
metadata_created | 2024-10-17T12:30:01.615811 |
metadata_modified | 2024-10-20T12:46:42.679393 |
name | 4cd94156bb814b4af2cbe2095caa504e |
notes | The Child Oral Health Impact Profile (COHIP) - short form is designed to measure the impact of oral health on children's quality of life. It consists of 11 questions about the child's oral health and how it affects their social-emotional wellbeing, functional wellbeing, and school and peer interaction. The items are scored on a 5-point Likert scale. |
num_resources | 0 |
num_tags | 0 |
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owner_org | 8dee8702-82b1-4d76-ba66-bdb5f4b47fa4 |
private | False |
state | active |
title | Child Oral Health Impact Profile (COHIP) - short form |
type | measure |
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'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}, {'cohort_reference_citation': '\xa0The Generation R Study: design and cohort update 2012', 'cohort_reference_identifier': 'https://doi.org/10.1007/s10654-012-9735-1', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}, {'cohort_reference_citation': 'Pediatric population-based neuroimaging and the Generation R Study: the intersection of developmental neuroscience and epidemiology', 'cohort_reference_identifier': 'https://doi.org/10.1007/s10654-013-9768-0', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}, {'cohort_reference_citation': 'The Generation R Study: Biobank update 2015', 'cohort_reference_identifier': 'https://doi.org/10.1007/s10654-014-9980-6', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}, {'cohort_reference_citation': 'The Generation R Study: design and cohort update 2017', 'cohort_reference_identifier': 'https://doi.org/10.1007/s10654-016-0224-9', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}]}] |
dc_DOI | [{'dc_identifier_type': 'DOI', 'dc_pid': '10.60641/ze2f-bh95'}] |
dc_constructs | [{'dc_construct': 'physical health'}] |
dc_labels | [{'dc_label': 'oral health'}, {'dc_label': 'physical health'}, {'dc_label': 'teeth'}, {'dc_label': 'daily life'}, {'dc_label': 'social interaction'}, {'dc_label': 'mental health'}, {'dc_label': 'quality of life'}, {'dc_label': 'wellbeing'}] |
dc_measurement_references | [{'dc_measurements_references_citation': 'Broder, H. L., & Wilson‐Genderson, M. (2007). Reliability and convergent and discriminant validity of the Child Oral Health Impact Profile (COHIP Child’s version). Community Dentistry and Oral Epidemiology, 35(s1), 20–31. Portico. https://doi.org/10.1111/j.1600-0528.2007.0002.x\n', 'dc_measurements_references_doi': 'https://doi.org/10.1111/j.1600-0528.2007.0002.x'}, {'dc_measurements_references_citation': 'Kragt, L., Tiemeier, H., Wolvius, E. B., & Ongkosuwito, E. M. (2015). Measuring oral health‐related quality of life in orthodontic patients with a short version of the <scp>C</scp>hild <scp>O</scp>ral <scp>H</scp>ealth <scp>I</scp>mpact <scp>P</scp>rofile (<scp>COHIP</scp>). Journal of Public Health Dentistry, 76(2), 105–112. Portico. https://doi.org/10.1111/jphd.12118\n', 'dc_measurements_references_doi': 'https://doi.org/10.1111/jphd.12118'}] |
dc_modes_of_collection | [{'dc_mode_of_collection': 'SelfAdministeredQuestionnaire'}] |
measure_age_range | [{'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': 121}, {'measure_age_month': 122}, {'measure_age_month': 123}, {'measure_age_month': 124}, {'measure_age_month': 125}, {'measure_age_month': 126}, {'measure_age_month': 127}, {'measure_age_month': 128}, {'measure_age_month': 129}, {'measure_age_month': 130}, {'measure_age_month': 131}, {'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}, {'measure_age_month': 193}, {'measure_age_month': 194}, {'measure_age_month': 195}, {'measure_age_month': 196}, {'measure_age_month': 197}, {'measure_age_month': 198}, {'measure_age_month': 199}, {'measure_age_month': 200}, {'measure_age_month': 201}, {'measure_age_month': 202}, {'measure_age_month': 204}, {'measure_age_month': 205}, {'measure_age_month': 206}, {'measure_age_month': 207}, {'measure_age_month': 208}, {'measure_age_month': 209}, {'measure_age_month': 210}, {'measure_age_month': 211}, {'measure_age_month': 212}, {'measure_age_month': 213}, {'measure_age_month': 214}, {'measure_age_month': 215}, {'measure_age_month': 216}] |
study | [{'study_alternate_title': ['Generation R', 'Gen-R'], 'study_language': 'NL', 'study_purpose': 'The purposes of the Generation R study are to (1) describe normal and abnormal growth, development and health from early fetal life to adulthood in a multi-ethnic population; (2) identify (epi-)genetic, biological, social and environmental determinants of this normal and abnormal growth, development and health; and (3) contribute to the development of strategies for optimizing health and healthcare for pregnant women and children.', 'study_time_method': 'Longitudinal', 'study_universe': 'Youth, and their parents, from the general population followed since prenatal life until young adulthood, all born in Rotterdam, the Netherlands.', 'title': 'The Generation R Study', 'study_contact': [{'study_contact_affiliation': 'Erasmus MC', 'study_contact_mail': 'generationr@erasmusmc.nl', 'study_contact_name': 'Generation R Data Management'}], 'study_contributor': [{'study_contributor_affiliation': 'Erasmus MC', 'study_contributor_affiliation_identifier': 'https://ror.org/018906e22', 'study_contributor_affiliation_identifier_scheme': 'ROR', 'study_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'study_contributor_identifier_type': 'url', 'study_contributor_name': 'The Generation R Study Group', 'study_contributor_pid': 'https://generationr.nl/algemeen/organisatie/'}], 'study_data_access': [{'study_data_access_URL': 'https://generationr.nl/', 'study_data_access_description': 'Data access requests can be directed to the data management team of the Generation R Study (generationr@erasmusmc.nl), which has a protocol for approving data requests. 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groups | [] |
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