Strengths and Weaknesses of Attention-Deficit/Hyperactivity Disorder Symptoms and Normal Behavior Scale (SWAN)
The Strengths and Weaknesses of Attention-Deficit/Hyperactivity Disorder Symptoms and Normal Behavior Scale (SWAN) is an 18-item parent questionnaire for children and adolescents under 18 years old. This rating scale includes positive “weaknesses” and negative “strengths” scoring, assessing symptoms of Attention-Deficit/Hyperactivity Disorder.
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8.0 - 10.0 years From 2016-03-14 to 2020-04-14 |
| Mode of collection | SelfAdministeredQuestionnaire |
| Analysis unit | Individual |
| Instrument name | Strengths and Weaknesses of Attention-Deficit/Hyperactivity Disorder Symptoms and Normal Behavior Scale (SWAN) |
| Alternate name | Aandacht en activiteit van mijn kind |
| Measure name | ADHD symptoms (SWAN) |
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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 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 |
| Analysis unit | |
| 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 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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| Coverage percentage of the measurement for this wave | |
| 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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| author | None |
| author_email | None |
| creator_user_id | 34768773-4537-4d74-8d9d-11e2b32cbbaf |
| dc_alternate_name | Aandacht en activiteit van mijn kind |
| dc_analysis_unit | {Individual} |
| dc_cohort | YOUth |
| dc_common_id | 0080_CD2 |
| dc_instrument_name | Strengths and Weaknesses of Attention-Deficit/Hyperactivity Disorder Symptoms and Normal Behavior Scale (SWAN) |
| dc_measure_name | ADHD symptoms (SWAN) |
| id | e0b7b8d2-da4e-421d-91fa-d2223a04beca |
| isopen | False |
| license_title | None |
| maintainer | None |
| maintainer_email | None |
| metadata_created | 2024-10-17T11:59:16.432894 |
| metadata_modified | 2024-10-20T12:26:37.057728 |
| name | 5519c2b2be922730f3dc9884a927af9f |
| notes | The Strengths and Weaknesses of Attention-Deficit/Hyperactivity Disorder Symptoms and Normal Behavior Scale (SWAN) is an 18-item parent questionnaire for children and adolescents under 18 years old. This rating scale includes positive “weaknesses” and negative “strengths” scoring, assessing symptoms of Attention-Deficit/Hyperactivity Disorder. |
| 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 | Strengths and Weaknesses of Attention-Deficit/Hyperactivity Disorder Symptoms and Normal Behavior Scale (SWAN) |
| type | measure |
| cohort | [{'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', 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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/mpt7-yb89'}] |
| dc_constructs | [{'dc_construct': 'mental health'}] |
| dc_labels | [{'dc_label': 'attention deficit disorder'}, {'dc_label': 'behavioral control'}, {'dc_label': 'hyperactivity'}, {'dc_label': 'psychiatric symptom'}, {'dc_label': 'attention'}, {'dc_label': 'impulsivity'}, {'dc_label': 'attention deficit hyperactivity disorder'}] |
| dc_measurement_references | [{'dc_measurements_references_citation': 'Swanson J.M., Schuck S., Porter M.M., Carlson C., Hartman C.A., Sergeant J.A., Clevenger W., Wasdell M., McCleary R., Lakes K., Wigal T. (2012). Categorical and Dimensional Definitions and Evaluations of Symptoms of ADHD: History of the SNAP and the SWAN Rating Scales. International Journal of Educational and Psychological Assessment. 10(1), 51-70. PMID: 26504617', 'dc_measurements_references_doi': 'https://doi.org/10.1590/1414-431X20154528'}, {'dc_measurements_references_citation': 'PMCID: PMC4618695.', 'dc_measurements_references_doi': 'https://doi.org/10.1016/s1566-2772(01)00007-x'}] |
| dc_modes_of_collection | [{'dc_mode_of_collection': 'SelfAdministeredQuestionnaire'}] |
| measure_age_range | [{'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}] |
| 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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