Dataset

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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Keywords	attention deficit disorder behavioral control hyperactivity psychiatric symptom attention impulsivity attention deficit hyperactivity disorder
Constructs	mental health
Waves	Young Netherlands Twin Register YC_DSC MC 10.0 - 13.0 years From 2002-01-01 to 2005-01-01 YE_ATTEF2 MC MS 12.0 years From 2002-01-01 to 2004-01-01 YC_ADHMRI MC 15.0 years From 2003-01-01 to 2007-01-01
Mode of collection	SelfAdministeredQuestionnaire
Analysis unit	Individual
References	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 PMCID: PMC4618695.

Purpose	The research carried out by the Netherlands Twin Register focuses on the role of heritability in mental and physical health. For instance, the NTR investigates why some people become more easily depressed than others, or why certain people get diabetes while others do not. Other research areas include lifestyle and habits that influence health and disease, such as smoking, drinking and exercise.
description
Alternate title	NTR
Data access information	Researchers with an approved data sharing request who abide by the rules of the European General Data Protection Regulation can receive temporary access to the NTR data for their own research projects. https://ntr-data-request.psy.vu.nl/
Publisher	Vrije Universiteit Amsterdam
Principal investigators	Boomsma, Dorret I. Vrije Universiteit Amsterdam
Cohort study international identifier
Language	NL
Funding information	Dutch Research Council 480-15-001/674 Funder identifier https://ror.org/04jsz6e67 Funder identifier type ROR Funder identifier type URI https://ror.org/ Funder award title Funder award URI Dutch Research Council 575-25-006 Funder identifier https://ror.org/04jsz6e67 Funder identifier type ROR Funder identifier type URI https://ror.org/ Funder award title Funder award URI Dutch Research Council 480-04-004 Funder identifier https://ror.org/04jsz6e67 Funder identifier type ROR Funder identifier type URI https://ror.org/ Funder award title Funder award URI Dutch Research Council 911-09-032 Funder identifier https://ror.org/04jsz6e67 Funder identifier type ROR Funder identifier type URI https://ror.org/ Funder award title Funder award URI
Contact information	NTR Data Management Vrije Universiteit Amsterdam ntr.datamanagement.fgb@vu.nl
References	Boomsma DI, de Geus EJ, Vink JM, Stubbe JH, Distel MA, Hottenga JJ, Posthuma D, van Beijsterveldt TC, Hudziak JJ, Bartels M, Willemsen G. Netherlands Twin Register: from twins to twin families. Twin Res Hum Genet. 2006 Dec;9(6):849-57. doi: 10.1375/183242706779462426. PMID: 17254420. Boomsma DI, Willemsen G, Vink JM, Bartels M, Groot P, Hottenga JJ, van Beijsterveldt CE, Stroet T, van Dijk R, Wertheim R, Visser M, van der Kleij F. Design and implementation of a twin-family database for behavior genetics and genomics studies. Twin Res Hum Genet. 2008 Jun;11(3):342-8. doi: 10.1375/twin.11.3.342. PMID: 18498212. van Beijsterveldt CE, Groen-Blokhuis M, Hottenga JJ, Franić S, Hudziak JJ, Lamb D, Huppertz C, de Zeeuw E, Nivard M, Schutte N, Swagerman S, Glasner T, van Fulpen M, Brouwer C, Stroet T, Nowotny D, Ehli EA, Davies GE, Scheet P, Orlebeke JF, Kan KJ, Smit D, Dolan CV, Middeldorp CM, de Geus EJ, Bartels M, Boomsma DI. The Young Netherlands Twin Register (YNTR): longitudinal twin and family studies in over 70,000 children. Twin Res Hum Genet. 2013 Feb;16(1):252-67. doi: 10.1017/thg.2012.118. Epub 2012 Nov 28. PMID: 23186620. Ligthart L, van Beijsterveldt CEM, Kevenaar ST, de Zeeuw E, van Bergen E, Bruins S, Pool R, Helmer Q, van Dongen J, Hottenga JJ, Van't Ent D, Dolan CV, Davies GE, Ehli EA, Bartels M, Willemsen G, de Geus EJC, Boomsma DI. The Netherlands Twin Register: Longitudinal Research Based on Twin and Twin-Family Designs. Twin Res Hum Genet. 2019 Dec;22(6):623-636. doi: 10.1017/thg.2019.93. Epub 2019 Oct 31. PMID: 31666148. Bartels M, van Beijsterveldt CE, Derks EM, Stroet TM, Polderman TJ, Hudziak JJ, Boomsma DI. Young Netherlands Twin Register (Y-NTR): a longitudinal multiple informant study of problem behavior. Twin Res Hum Genet. 2007 Feb;10(1):3-11. doi: 10.1375/twin.10.1.3.PMID: 17539360. Boomsma DI, Orlebeke JF, van Baal GC.Behav Genet. The Dutch Twin Register: growth data on weight and height. 1992 Mar;22(2):247-51. doi: 10.1007/BF01067004 Franić S, Dolan CV, van Beijsterveldt CE, Hulshoff Pol HE, Bartels M, Boomsma DI. Genetic and environmental stability of intelligence in childhood and adolescence. Twin Res Hum Genet. 2014 Jun;17(3):151-63. doi: 10.1017/thg.2014.
Additional info (URL)
Additional information
Contributors	YNTR administration Vrije Universiteit Amsterdam
Time method	Longitudinal
Universe	The recruitment into the NTR is fully inclusive without any restrictions on enrolment. In the CID data catalogue, only the NTR projects for children and adolescents (<18 years of age) have been included. This is refered to as the Young Netherlands Twin Register (YNTR).

Alternate title	YNTR
Description	The Young Netherlands Twin Register (YNTR) consists of projects within the Netherlands Twin Register (NTR) that involve families with twins or other multiples under the age of 18.
Purpose	The purpose of the projects within the Young Netherlands Twin Register focus on the role of heritability in mental and physical health. For instance, the NTR investigates why some people become more easily depressed than others, or why certain people get diabetes while others do not. Other research areas include lifestyle and habits that influence health and disease, such as smoking, drinking and exercise.
Publisher	Vrije Universiteit Amsterdam
Creators	Boomsma, Dorret I. Vrije Universiteit Amsterdam
Language	NL
Cohort international identifier
Funding information	Dutch Research Council 480-15-001/674 Funder identifier https://ror.org/04jsz6e67 ROR Identifier type URI https://ror.org/ Funder award title Funder award URI Dutch Research Council 575-25-006 Funder identifier https://ror.org/04jsz6e67 ROR Identifier type URI https://ror.org/ Funder award title Funder award URI Dutch Research Council 480-04-004 Funder identifier https://ror.org/04jsz6e67 ROR Identifier type URI https://ror.org/ Funder award title Funder award URI Dutch Research Council 911-09-032 Funder identifier https://ror.org/04jsz6e67 ROR Identifier type URI https://ror.org/ Funder award title Funder award URI
Cohort reference papers
Classification
Contact information
Waves
Contributors	YNTR administration Vrije Universiteit Amsterdam
References	Boomsma DI, de Geus EJ, Vink JM, Stubbe JH, Distel MA, Hottenga JJ, Posthuma D, van Beijsterveldt TC, Hudziak JJ, Bartels M, Willemsen G. Netherlands Twin Register: from twins to twin families. Twin Res Hum Genet. 2006 Dec;9(6):849-57. doi: 10.1375/183242706779462426. PMID: 17254420. Boomsma DI, Willemsen G, Vink JM, Bartels M, Groot P, Hottenga JJ, van Beijsterveldt CE, Stroet T, van Dijk R, Wertheim R, Visser M, van der Kleij F. Design and implementation of a twin-family database for behavior genetics and genomics studies. Twin Res Hum Genet. 2008 Jun;11(3):342-8. doi: 10.1375/twin.11.3.342. PMID: 18498212. van Beijsterveldt CE, Groen-Blokhuis M, Hottenga JJ, Franić S, Hudziak JJ, Lamb D, Huppertz C, de Zeeuw E, Nivard M, Schutte N, Swagerman S, Glasner T, van Fulpen M, Brouwer C, Stroet T, Nowotny D, Ehli EA, Davies GE, Scheet P, Orlebeke JF, Kan KJ, Smit D, Dolan CV, Middeldorp CM, de Geus EJ, Bartels M, Boomsma DI. The Young Netherlands Twin Register (YNTR): longitudinal twin and family studies in over 70,000 children. Twin Res Hum Genet. 2013 Feb;16(1):252-67. doi: 10.1017/thg.2012.118. Epub 2012 Nov 28. PMID: 23186620. Ligthart L, van Beijsterveldt CEM, Kevenaar ST, de Zeeuw E, van Bergen E, Bruins S, Pool R, Helmer Q, van Dongen J, Hottenga JJ, Van't Ent D, Dolan CV, Davies GE, Ehli EA, Bartels M, Willemsen G, de Geus EJC, Boomsma DI. The Netherlands Twin Register: Longitudinal Research Based on Twin and Twin-Family Designs. Twin Res Hum Genet. 2019 Dec;22(6):623-636. doi: 10.1017/thg.2019.93. Epub 2019 Oct 31. PMID: 31666148.
Country code	NL
Geographic location
Lowest geographic reference	postal code
Highest geographic reference	country
Cohort universe description	Families with twins or other multiples under the age of 18.
Analysis unit
Additional info (URL)
Additional information
Time method	Longitudinal.CohortEventBased

Wave alternate title	DISC-IV DSM diagnosis of ADHD and multi-informant CBCL-AP syndrome scores YC_DSC
Short description of the wave	The purpose of the YC_DSC project was to investigate the relation between Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) diagnosis of ADHD and Child Behavioral Checklist Attention Problems (CBCL-AP) scores. Twins were selected based on their maternal CBCL-AP scores at ages 7, 10 and 12 (mean age = 11.7 years, SD = 0.78 years). Twin pairs were selected if at least one of the twins scored high on AP (affected pairs), or if both twins scored low on AP (control pairs). In families that agreed to participate, the mother of the twins was interviewed by telephone with the Diagnostic Interview Schedule for Children (DISC-IV). Other surveys that were collected are the CBCL, SWAN and YSR. Mouth swabs were used to collect buccal cell samples, from which DNA was extracted.
Type of StudyUnit
Publisher	Vrije Universiteit Amsterdam
Creators	Boomsma, Dorret I. Vrije Universiteit Amsterdam
Funding information	MH58799-03 Funder identifier ROR Identifier type URI https://ror.org/ Funder award title Investigator Initiated Research Grant (R01) Funder award URI
References	Derks EM, Hudziak JJ, Dolan CV, Ferdinand RF, Boomsma DI. The relations between DISC-IV DSM diagnoses of ADHD and multi-informant CBCL-AP syndrome scores. Compr Psychiatry. 2006 Mar-Apr;47(2):116-22. doi: 10.1016/j.comppsych.2005.05.006. PMID: 16490569. Derks, E. M. (2006). Assessment and genetic aetiology of attention problems, hyperactivity, and related disorders. Derks EM, Hudziak JJ, Dolan CV, van Beijsterveldt TC, Verhulst FC, Boomsma DI. Genetic and environmental influences on the relation between attention problems and attention deficit hyperactivity disorder. Behav Genet. 2008 Jan;38(1):11-23. doi: 10.1007/s10519-007-9178-8. Epub 2007 Dec 12. PMID: 18074222; PMCID: PMC2226020.
(sub) cohort	NTR: Young Netherlands Twin Register
Life stage
Coverage percentage of the measurement for this wave
Start date wave collection	2002-01-01
End date wave collection	2005-01-01
Wave universe description	10.0 - 13.0 years
Stage of measurement
Language	NL
Description of physical data product	Data collected through paper-and-pencil surveys have been scanned. All data digitally archived.
Additional info (URL)
Additional information
Contributors	Derks, Eske M. Vrije Universiteit Amsterdam

Wave alternate title	Genetics of attention and executive functioning measurement 2 YE_ATTEF2
Short description of the wave	The YE_ATTEF2 project was the second measurement of a longitudinal study on the source of individual differences of cognition, attention, and executive functioning from preschool to young adulthood. This project included the measurement five years after baseline (YE_ATTEF1) among 12-year old twin pairs (mean age = 12.4 years, SD = 0.14 years) and their 8-16 year old siblings (mean age = 11.97 years, SD = 2.55 years), and additionally recruited new twin pairs and siblings of the twin pairs. Behavioral data were collected with surveys filled in by parents and teachers (Conners, Child Behavior Checklist (CBCL), Strengths and Weaknesses of ADHD symptoms and Normal behavior Scale (SWAN), Teacher Report Form (TRF)) or filled in by children themselves (Youth Self Report (YSR)). To measure pubertal development, children filled in the Tanner questionnaire. Neurocognitive abilities were assessed with computerized ANT tasks, Flanker, Simon and Stroop. IQ was assessed with WISC-R. DNA was collected to determine zygosity and for genotyping SNP’S at candidate gene loci. Saliva was collected to assess cortisol concentrations.
Type of StudyUnit
Publisher	Vrije Universiteit Amsterdam
Creators	Boomsma, Dorret I. Vrije Universiteit Amsterdam
Funding information	904-57-94 Funder identifier ROR Identifier type URI https://ror.org/ Funder award title Funder award URI
References	Polderman, T. J. C. (2007). Genetics of Attention and Executive Functioning. https://research.vu.nl/en/publications/genetics-of-attention-and-executive-functioning. ISBN: 9789086590964.
(sub) cohort	NTR: Young Netherlands Twin Register
Life stage
Coverage percentage of the measurement for this wave
Start date wave collection	2002-01-01
End date wave collection	2004-01-01
Wave universe description	12.0 years
Stage of measurement
Language	NL
Description of physical data product	Data collected through paper-and-pencil surveys have been scanned. All data digitally archived.
Additional info (URL)
Additional information
Contributors	Polderman, Tinca Vrije Universiteit Amsterdam

Wave alternate title	MRI-based research into problem behaviors in twins YC_ADHMRI
Short description of the wave	In the ADHD-MRI project, the genetic and environmental influence on ADHD related neurobiological changes were investigated in monozygotic twins (mean age = 14.9 years, SD = 1.2 years) who were born between 1986 and 1993. Twins were selected based on their Child Behavior Checklist Attention Problems (CBCL-AP) scores obtained in the regular YNTR survey waves and divided into three groups: discordant pairs (one affected, one unaffected), concordant pairs (both affected) and control pairs (both unaffected). To determine the presence of ADHD, mothers of the participants were interviewed with the Diagnostic Interview Schedule for Children (DISC-IV). Additionally, they filled in two behavioral questionnaires (CBCL and Strengths and Weaknesses of ADHD Symptoms and Normal Behavior (SWAN)). The twins filled in the Youth Self Report (YSR). Based on the outcome of the interview and questionnaires, twin pairs that were found eligible for the MRI experiments were invited. Both structural and functional MRI (color-stroop and flanker tasks) were performed. DNA was collected to confirm zygosity.
Type of StudyUnit
Publisher	Vrije Universiteit Amsterdam
Creators	Boomsma, Dorret I. Vrije Universiteit Amsterdam
Funding information	MH58799-03 Funder identifier ROR Identifier type URI https://ror.org/ Funder award title Investigator Initiated Research Grant (R01) Funder award URI
References	Derks EM, Hudziak JJ, Dolan CV, Ferdinand RF, Boomsma DI. The relations between DISC-IV DSM diagnoses of ADHD and multi-informant CBCL-AP syndrome scores. Compr Psychiatry. 2006 Mar-Apr;47(2):116-22. doi: 10.1016/j.comppsych.2005.05.006. PMID: 16490569. Derks, E. M. (2006). Assessment and genetic aetiology of attention problems, hyperactivity, and related disorders. van 't Ent D, Lehn H, Derks EM, Hudziak JJ, Van Strien NM, Veltman DJ, De Geus EJ, Todd RD, Boomsma DI. A structural MRI study in monozygotic twins concordant or discordant for attention/hyperactivity problems: evidence for genetic and environmental heterogeneity in the developing brain. Neuroimage. 2007 Apr 15;35(3):1004-20. doi: 10.1016/j.neuroimage.2007.01.037. Epub 2007 Feb 8. PMID: 17346990; PMCID: PMC1939804. van 't Ent D, van Beijsterveldt CE, Derks EM, Hudziak JJ, Veltman DJ, Todd RD, Boomsma DI, De Geus EJ. Neuroimaging of response interference in twins concordant or discordant for inattention and hyperactivity symptoms. Neuroscience. 2009 Nov 24;164(1):16-29. doi: 10.1016/j.neuroscience.2009.01.056. Epub 2009 Feb 3. PMID: 19409224; PMCID: PMC2760677.
(sub) cohort	NTR: Young Netherlands Twin Register
Life stage
Coverage percentage of the measurement for this wave
Start date wave collection	2003-01-01
End date wave collection	2007-01-01
Wave universe description	15.0 years
Stage of measurement
Language	NL
Description of physical data product	Data collected through paper-and-pencil surveys have been scanned. All data digitally archived.
Additional info (URL)
Additional information
Contributors	Derks, Eske M. Vrije Universiteit Amsterdam

You can also access this dataset using the API (see API Docs).

author	None
author_email	None
creator_user_id	34768773-4537-4d74-8d9d-11e2b32cbbaf
dc_analysis_unit	{Individual}
dc_cohort	NTR
dc_common_id	0080_CD2
id	7c8f4339-7929-4bf3-85d8-5e5107c41c58
isopen	False
license_title	None
maintainer	None
maintainer_email	None
metadata_created	2024-10-17T12:39:18.157318
metadata_modified	2024-10-20T12:51:32.017025
name	2a7680502a86d316ede204a7597979fe
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': '45b26247-5cc8-4bf1-a214-3efb773faa3a', 'name': 'ntr', 'title': 'Netherlands Twin Register', 'type': 'organization', 'description': 'The Netherlands Twin Register (NTR) consists of individuals who have agreed to participate in twin-family studies and was established and is managed by the Department of Biological Psychology, VU University Amsterdam (see: https://tweelingenregister.vu.nl/). The NTR was established in 1987 and has enrolled around 120.000 twins and a roughly equal number of their relatives. The majority of twin families have participated one or more times in survey studies on a host of epidemiological variables including social demography, personality, lifestyle, somatic and mental health, and subsamples took part in biomaterial collection (e.g. DNA) and dedicated projects for e.g. neuropsychological, biomarker, and behavioral traits. The recruitment into the NTR is fully inclusive without any restrictions on enrolment. The NTR is committed to actively seek the commitment of its participants to science and their continued involvement in NTR research by maintaining a website, electronic newsletters, and the MijnNTR portal that provides personalized feedback to participants. The NTR resources, e.g. the longitudinal phenotyping, the extended pedigree structures, and the multi-generation genotyping allow for future twin-family research that will contribute to gene discovery, causality modelling, and studies of genetic and cultural inheritance of behavioral traits and mental and physical health. In the CID data catalogue, only the NTR projects for children and adolescents (<18 years of age) have been included. This is refered to as the Young Netherlands Twin Register (YNTR).', 'image_url': 'https://data.individualdevelopment.nl/img/logo_ntr.png', 'created': '2024-10-17T13:43:56.356410', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}
owner_org	45b26247-5cc8-4bf1-a214-3efb773faa3a
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': 'YNTR', 'cohort_description': 'The Young Netherlands Twin Register (YNTR) consists of projects within the Netherlands Twin Register (NTR) that involve families with twins or other multiples under the age of 18.', 'cohort_language': 'NL', 'cohort_purpose': 'The purpose of the projects within the Young Netherlands Twin Register focus on the role of heritability in mental and physical health. For instance, the NTR investigates why some people become more easily depressed than others, or why certain people get diabetes while others do not. Other research areas include lifestyle and habits that influence health and disease, such as smoking, drinking and exercise.', 'cohort_spatial_country_code': 'NL', 'cohort_spatial_highest_reference': 'country', 'cohort_spatial_lowest_reference': 'postal code', 'cohort_time_method': 'Longitudinal.CohortEventBased', 'cohort_title': 'NTR: Young Netherlands Twin Register', 'cohort_universe': 'Families with twins or other multiples under the age of 18.', 'cohort_contributor': [{'cohort_contributor': 'YNTR administration', 'cohort_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'cohort_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'cohort_contributor_affiliation_identifier_scheme': 'ROR', 'cohort_contributor_affiliation_identifier_schemeuri': 'https://ror.org/'}], 'cohort_creator': [{'cohort_creator_affiliation': 'Vrije Universiteit Amsterdam', 'cohort_creator_affiliation_identifier': 'https://ror.org/008xxew50', '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': 'Boomsma, Dorret I.', 'cohort_creator_pid': '0000-0002-7099-7972'}], 'cohort_funding': [{'cohort_funder': 'Dutch Research Council', 'cohort_funder_identifier': 'https://ror.org/04jsz6e67', 'cohort_funder_identifier_schemuri': 'https://ror.org/', 'cohort_funder_identifier_type': 'ROR', 'cohort_grant_number': '480-15-001/674'}, {'cohort_funder': 'Dutch Research Council', 'cohort_funder_identifier': 'https://ror.org/04jsz6e67', 'cohort_funder_identifier_schemuri': 'https://ror.org/', 'cohort_funder_identifier_type': 'ROR', 'cohort_grant_number': '575-25-006'}, {'cohort_funder': 'Dutch Research Council', 'cohort_funder_identifier': 'https://ror.org/04jsz6e67', 'cohort_funder_identifier_schemuri': 'https://ror.org/', 'cohort_funder_identifier_type': 'ROR', 'cohort_grant_number': '480-04-004'}, {'cohort_funder': 'Dutch Research Council', 'cohort_funder_identifier': 'https://ror.org/04jsz6e67', 'cohort_funder_identifier_schemuri': 'https://ror.org/', 'cohort_funder_identifier_type': 'ROR', 'cohort_grant_number': '911-09-032'}], 'cohort_publisher': [{'cohort_publisher_identifier': 'https://ror.org/008xxew50', 'cohort_publisher_identifier_type': 'ROR', 'cohort_publisher_name': 'Vrije Universiteit Amsterdam'}], 'cohort_references': [{'cohort_reference_citation': 'Boomsma DI, de Geus EJ, Vink JM, Stubbe JH, Distel MA, Hottenga JJ, Posthuma D, van Beijsterveldt TC, Hudziak JJ, Bartels M, Willemsen G. Netherlands Twin Register: from twins to twin families. Twin Res Hum Genet. 2006 Dec;9(6):849-57. doi: 10.1375/183242706779462426. PMID: 17254420.', 'cohort_reference_identifier': 'https://doi.org/10.1375/183242706779462426', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}, {'cohort_reference_citation': 'Boomsma DI, Willemsen G, Vink JM, Bartels M, Groot P, Hottenga JJ, van Beijsterveldt CE, Stroet T, van Dijk R, Wertheim R, Visser M, van der Kleij F. Design and implementation of a twin-family database for behavior genetics and genomics studies. Twin Res Hum Genet. 2008 Jun;11(3):342-8. doi: 10.1375/twin.11.3.342. PMID: 18498212.', 'cohort_reference_identifier': 'https://doi.org/10.1375/twin.11.3.342', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}, {'cohort_reference_citation': 'van Beijsterveldt CE, Groen-Blokhuis M, Hottenga JJ, Franić S, Hudziak JJ, Lamb D, Huppertz C, de Zeeuw E, Nivard M, Schutte N, Swagerman S, Glasner T, van Fulpen M, Brouwer C, Stroet T, Nowotny D, Ehli EA, Davies GE, Scheet P, Orlebeke JF, Kan KJ, Smit D, Dolan CV, Middeldorp CM, de Geus EJ, Bartels M, Boomsma DI. The Young Netherlands Twin Register (YNTR): longitudinal twin and family studies in over 70,000 children. Twin Res Hum Genet. 2013 Feb;16(1):252-67. doi: 10.1017/thg.2012.118. Epub 2012 Nov 28. PMID: 23186620.', 'cohort_reference_identifier': 'https://doi.org/10.1017/thg.2012.118', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}, {'cohort_reference_citation': "Ligthart L, van Beijsterveldt CEM, Kevenaar ST, de Zeeuw E, van Bergen E, Bruins S, Pool R, Helmer Q, van Dongen J, Hottenga JJ, Van't Ent D, Dolan CV, Davies GE, Ehli EA, Bartels M, Willemsen G, de Geus EJC, Boomsma DI. The Netherlands Twin Register: Longitudinal Research Based on Twin and Twin-Family Designs. Twin Res Hum Genet. 2019 Dec;22(6):623-636. doi: 10.1017/thg.2019.93. Epub 2019 Oct 31. PMID: 31666148.", 'cohort_reference_identifier': 'https://doi.org/10.1017/thg.2019.93', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}]}]
dc_DOI	[{'dc_identifier_type': 'DOI', 'dc_pid': '10.60641/edsm-cc71'}]
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': 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': 180}]
study	[{'study_alternate_title': 'NTR', 'study_language': 'NL', 'study_purpose': 'The research carried out by the Netherlands Twin Register focuses on the role of heritability in mental and physical health. For instance, the NTR investigates why some people become more easily depressed than others, or why certain people get diabetes while others do not. Other research areas include lifestyle and habits that influence health and disease, such as smoking, drinking and exercise.', 'study_time_method': 'Longitudinal', 'study_universe': 'The recruitment into the NTR is fully inclusive without any restrictions on enrolment. In the CID data catalogue, only the NTR projects for children and adolescents (<18 years of age) have been included. This is refered to as the Young Netherlands Twin Register (YNTR). ', 'title': 'Netherlands Twin Register', 'study_contact': [{'study_contact_affiliation': 'Vrije Universiteit Amsterdam', 'study_contact_mail': 'ntr.datamanagement.fgb@vu.nl', 'study_contact_name': 'NTR Data Management'}], 'study_contributor': [{'study_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'study_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'study_contributor_affiliation_identifier_scheme': 'ROR', 'study_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'study_contributor_name': 'YNTR administration'}], 'study_data_access': [{'study_data_access_URL': 'https://ntr-data-request.psy.vu.nl/', 'study_data_access_description': 'Researchers with an approved data sharing request who abide by the rules of the European General Data Protection Regulation can receive temporary access to the NTR data for their own research projects.'}], 'study_funding': [{'study_funder': 'Dutch Research Council', 'study_funder_identifier': 'https://ror.org/04jsz6e67', 'study_funder_identifier_schemuri': 'https://ror.org/', 'study_funder_identifier_type': 'ROR', 'study_grant_number': '480-15-001/674'}, {'study_funder': 'Dutch Research Council', 'study_funder_identifier': 'https://ror.org/04jsz6e67', 'study_funder_identifier_schemuri': 'https://ror.org/', 'study_funder_identifier_type': 'ROR', 'study_grant_number': '575-25-006'}, {'study_funder': 'Dutch Research Council', 'study_funder_identifier': 'https://ror.org/04jsz6e67', 'study_funder_identifier_schemuri': 'https://ror.org/', 'study_funder_identifier_type': 'ROR', 'study_grant_number': '480-04-004'}, {'study_funder': 'Dutch Research Council', 'study_funder_identifier': 'https://ror.org/04jsz6e67', 'study_funder_identifier_schemuri': 'https://ror.org/', 'study_funder_identifier_type': 'ROR', 'study_grant_number': '911-09-032'}], 'study_principal_investigators': [{'study_pi_affiliation': 'Vrije Universiteit Amsterdam', 'study_pi_affiliation_identifier': 'https://ror.org/008xxew50', 'study_pi_affiliation_identifier_scheme': 'ROR', 'study_pi_affiliation_identifier_schemeuri': 'https://ror.org/', 'study_pi_identifier_schemeuri': 'https://orcid.org/', 'study_pi_identifier_type': 'ORCID', 'study_pi_name': 'Boomsma, Dorret I.', 'study_pi_pid': '0000-0002-7099-7972'}], 'study_publisher': [{'study_publisher_identifier': 'https://ror.org/008xxew50', 'study_publisher_identifier_schemeuri': 'https://ror.org/', 'study_publisher_identifier_type': 'ROR', 'study_publisher_name': 'Vrije Universiteit Amsterdam'}], 'study_references': [{'study_reference_citation': 'Boomsma DI, de Geus EJ, Vink JM, Stubbe JH, Distel MA, Hottenga JJ, Posthuma D, van Beijsterveldt TC, Hudziak JJ, Bartels M, Willemsen G. Netherlands Twin Register: from twins to twin families. Twin Res Hum Genet. 2006 Dec;9(6):849-57. doi: 10.1375/183242706779462426. PMID: 17254420.', 'study_reference_identifier': 'https://doi.org/10.1375/183242706779462426', 'study_reference_identifier_type': 'DOI', 'study_reference_type': 'IsDescribedBy'}, {'study_reference_citation': 'Boomsma DI, Willemsen G, Vink JM, Bartels M, Groot P, Hottenga JJ, van Beijsterveldt CE, Stroet T, van Dijk R, Wertheim R, Visser M, van der Kleij F. Design and implementation of a twin-family database for behavior genetics and genomics studies. Twin Res Hum Genet. 2008 Jun;11(3):342-8. doi: 10.1375/twin.11.3.342. PMID: 18498212.', 'study_reference_identifier': 'https://doi.org/10.1375/twin.11.3.342', 'study_reference_identifier_type': 'DOI', 'study_reference_type': 'IsDescribedBy'}, {'study_reference_citation': 'van Beijsterveldt CE, Groen-Blokhuis M, Hottenga JJ, Franić S, Hudziak JJ, Lamb D, Huppertz C, de Zeeuw E, Nivard M, Schutte N, Swagerman S, Glasner T, van Fulpen M, Brouwer C, Stroet T, Nowotny D, Ehli EA, Davies GE, Scheet P, Orlebeke JF, Kan KJ, Smit D, Dolan CV, Middeldorp CM, de Geus EJ, Bartels M, Boomsma DI. The Young Netherlands Twin Register (YNTR): longitudinal twin and family studies in over 70,000 children. Twin Res Hum Genet. 2013 Feb;16(1):252-67. doi: 10.1017/thg.2012.118. Epub 2012 Nov 28. PMID: 23186620.', 'study_reference_identifier': 'https://doi.org/10.1017/thg.2012.118', 'study_reference_identifier_type': 'DOI', 'study_reference_type': 'IsDescribedBy'}, {'study_reference_citation': "Ligthart L, van Beijsterveldt CEM, Kevenaar ST, de Zeeuw E, van Bergen E, Bruins S, Pool R, Helmer Q, van Dongen J, Hottenga JJ, Van't Ent D, Dolan CV, Davies GE, Ehli EA, Bartels M, Willemsen G, de Geus EJC, Boomsma DI. The Netherlands Twin Register: Longitudinal Research Based on Twin and Twin-Family Designs. Twin Res Hum Genet. 2019 Dec;22(6):623-636. doi: 10.1017/thg.2019.93. Epub 2019 Oct 31. PMID: 31666148.", 'study_reference_identifier': 'https://doi.org/10.1017/thg.2019.93', 'study_reference_identifier_type': 'DOI', 'study_reference_type': 'IsDescribedBy'}, {'study_reference_citation': 'Bartels M, van Beijsterveldt CE, Derks EM, Stroet TM, Polderman TJ, Hudziak JJ, Boomsma DI. Young Netherlands Twin Register (Y-NTR): a longitudinal multiple informant study of problem behavior. Twin Res Hum Genet. 2007 Feb;10(1):3-11. doi: 10.1375/twin.10.1.3.PMID: 17539360.', 'study_reference_identifier': 'https://doi.org/10.1375/twin.10.1.3', 'study_reference_identifier_type': 'DOI', 'study_reference_type': 'IsDescribedBy'}, {'study_reference_citation': 'Boomsma DI, Orlebeke JF, van Baal GC.Behav Genet. The Dutch Twin Register: growth data on weight and height. 1992 Mar;22(2):247-51. doi: 10.1007/BF01067004', 'study_reference_identifier': 'https://doi.org/10.1007/BF01067004', 'study_reference_identifier_type': 'DOI', 'study_reference_type': 'IsDescribedBy'}, {'study_reference_citation': 'Franić S, Dolan CV, van Beijsterveldt CE, Hulshoff Pol HE, Bartels M, Boomsma DI. Genetic and environmental stability of intelligence in childhood and adolescence. Twin Res Hum Genet. 2014 Jun;17(3):151-63. doi: 10.1017/thg.2014.', 'study_reference_identifier': 'https://doi.org/10.1017/thg.2014', 'study_reference_identifier_type': 'DOI', 'study_reference_type': 'IsDescribedBy'}]}]
wave	[{'wave_alternate_title': 'DISC-IV DSM diagnosis of ADHD and multi-informant CBCL-AP syndrome scores [YC_DSC]', 'wave_cohort': 'NTR: Young Netherlands Twin Register', 'wave_cohort_ckan_id': '6f88a94b0bf79a8304ba604c655c08a9', 'wave_description': 'The purpose of the YC_DSC project was to investigate the relation between Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) diagnosis of ADHD and Child Behavioral Checklist Attention Problems (CBCL-AP) scores. Twins were selected based on their maternal CBCL-AP scores at ages 7, 10 and 12 (mean age = 11.7 years, SD = 0.78 years). Twin pairs were selected if at least one of the twins scored high on AP (affected pairs), or if both twins scored low on AP (control pairs). In families that agreed to participate, the mother of the twins was interviewed by telephone with the Diagnostic Interview Schedule for Children (DISC-IV). Other surveys that were collected are the CBCL, SWAN and YSR. Mouth swabs were used to collect buccal cell samples, from which DNA was extracted.', 'wave_end_date_collection': '2005-01-01', 'wave_language': 'NL', 'wave_physical_data_product_description': 'Data collected through paper-and-pencil surveys have been scanned. All data digitally archived. ', 'wave_start_date_collection': '2002-01-01', 'wave_title': 'YC_DSC', 'wave_universe': '120-156', 'wave_contributor': [{'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': 'https://orcid.org/', 'wave_contributor_identifier_type': 'ORCID', 'wave_contributor_name': 'Derks, Eske M.', 'wave_contributor_pid': '0000-0002-6292-6883'}], 'wave_creator': [{'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Boomsma, Dorret I.', 'wave_creator_pid': '0000-0002-7099-7972'}], 'wave_funding': [{'wave_funder_award_title': 'Investigator Initiated Research Grant (R01)', 'wave_funder_identifier_schemuri': 'https://ror.org/', 'wave_funder_identifier_type': 'ROR', 'wave_grant_number': 'MH58799-03'}], 'wave_publisher': [{'wave_publisher_identifier': 'https://ror.org/008xxew50', 'wave_publisher_identifier_type': 'ROR', 'wave_publisher_name': 'Vrije Universiteit Amsterdam'}], 'wave_references': [{'wave_references_citation': 'Derks EM, Hudziak JJ, Dolan CV, Ferdinand RF, Boomsma DI. The relations between DISC-IV DSM diagnoses of ADHD and multi-informant CBCL-AP syndrome scores. Compr Psychiatry. 2006 Mar-Apr;47(2):116-22. doi: 10.1016/j.comppsych.2005.05.006. PMID: 16490569.', 'wave_references_identifier': 'https://doi.org/10.1016/j.comppsych.2005.05.006', 'wave_references_identifier_type': 'DOI', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'Derks, E. M. (2006). Assessment and genetic aetiology of attention problems, hyperactivity, and related disorders.', 'wave_references_identifier': 'https://hdl.handle.net/1871/10547', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'Derks EM, Hudziak JJ, Dolan CV, van Beijsterveldt TC, Verhulst FC, Boomsma DI. Genetic and environmental influences on the relation between attention problems and attention deficit hyperactivity disorder. Behav Genet. 2008 Jan;38(1):11-23. doi: 10.1007/s10519-007-9178-8. Epub 2007 Dec 12. PMID: 18074222; PMCID: PMC2226020.', 'wave_references_identifier': 'https://doi.org/10.1007/s10519-007-9178-8', 'wave_references_identifier_type': 'DOI', 'wave_references_type': 'IsDescribedBy'}], 'wave_subject_codes': [{'wave_subject_code': 'MC', 'wave_subject_code_translated': 'Mother (biological or non-biological) on Child'}]}, {'wave_alternate_title': 'Genetics of attention and executive functioning measurement 2 [YE_ATTEF2]', 'wave_cohort': 'NTR: Young Netherlands Twin Register', 'wave_cohort_ckan_id': '6f88a94b0bf79a8304ba604c655c08a9', 'wave_description': 'The YE_ATTEF2 project was the second measurement of a longitudinal study on the source of individual differences of cognition, attention, and executive functioning from preschool to young adulthood. This project included the measurement five years after baseline (YE_ATTEF1) among 12-year old twin pairs (mean age = 12.4 years, SD = 0.14 years) and their 8-16 year old siblings (mean age = 11.97 years, SD = 2.55 years), and additionally recruited new twin pairs and siblings of the twin pairs. Behavioral data were collected with surveys filled in by parents and teachers (Conners, Child Behavior Checklist (CBCL), Strengths and Weaknesses of ADHD symptoms and Normal behavior Scale (SWAN), Teacher Report Form (TRF)) or filled in by children themselves (Youth Self Report (YSR)). To measure pubertal development, children filled in the Tanner questionnaire. Neurocognitive abilities were assessed with computerized ANT tasks, Flanker, Simon and Stroop. IQ was assessed with WISC-R. DNA was collected to determine zygosity and for genotyping SNP’S at candidate gene loci. Saliva was collected to assess cortisol concentrations.', 'wave_end_date_collection': '2004-01-01', 'wave_language': 'NL', 'wave_physical_data_product_description': 'Data collected through paper-and-pencil surveys have been scanned. All data digitally archived. ', 'wave_start_date_collection': '2002-01-01', 'wave_title': 'YE_ATTEF2', 'wave_universe': '144', 'wave_contributor': [{'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': 'https://orcid.org/', 'wave_contributor_identifier_type': 'ORCID', 'wave_contributor_name': 'Polderman, Tinca', 'wave_contributor_pid': '0000-0001-5564-301X'}], 'wave_creator': [{'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Boomsma, Dorret I.', 'wave_creator_pid': '0000-0002-7099-7972'}], 'wave_funding': [{'wave_funder_identifier_schemuri': 'https://ror.org/', 'wave_funder_identifier_type': 'ROR', 'wave_grant_number': '904-57-94'}], 'wave_publisher': [{'wave_publisher_identifier': 'https://ror.org/008xxew50', 'wave_publisher_identifier_type': 'ROR', 'wave_publisher_name': 'Vrije Universiteit Amsterdam'}], 'wave_references': [{'wave_references_citation': 'Polderman, T. J. C. (2007). Genetics of Attention and Executive Functioning. https://research.vu.nl/en/publications/genetics-of-attention-and-executive-functioning. ISBN: 9789086590964.', 'wave_references_identifier': 'https://hdl.handle.net/1871/10808', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}], 'wave_subject_codes': [{'wave_subject_code': 'MC', 'wave_subject_code_translated': 'Mother (biological or non-biological) on Child'}, {'wave_subject_code': 'MS', 'wave_subject_code_translated': 'Mother (biological or non-biological) on Sibling (not part of multiple)'}]}, {'wave_alternate_title': 'MRI-based research into problem behaviors in twins [YC_ADHMRI]', 'wave_cohort': 'NTR: Young Netherlands Twin Register', 'wave_cohort_ckan_id': '6f88a94b0bf79a8304ba604c655c08a9', 'wave_description': 'In the ADHD-MRI project, the genetic and environmental influence on ADHD related neurobiological changes were investigated in monozygotic twins (mean age = 14.9 years, SD = 1.2 years) who were born between 1986 and 1993. Twins were selected based on their Child Behavior Checklist Attention Problems (CBCL-AP) scores obtained in the regular YNTR survey waves and divided into three groups: discordant pairs (one affected, one unaffected), concordant pairs (both affected) and control pairs (both unaffected). To determine the presence of ADHD, mothers of the participants were interviewed with the Diagnostic Interview Schedule for Children (DISC-IV). Additionally, they filled in two behavioral questionnaires (CBCL and Strengths and Weaknesses of ADHD Symptoms and Normal Behavior (SWAN)). The twins filled in the Youth Self Report (YSR). Based on the outcome of the interview and questionnaires, twin pairs that were found eligible for the MRI experiments were invited. Both structural and functional MRI (color-stroop and flanker tasks) were performed. DNA was collected to confirm zygosity.', 'wave_end_date_collection': '2007-01-01', 'wave_language': 'NL', 'wave_physical_data_product_description': 'Data collected through paper-and-pencil surveys have been scanned. All data digitally archived. ', 'wave_start_date_collection': '2003-01-01', 'wave_title': 'YC_ADHMRI', 'wave_universe': '180', 'wave_contributor': [{'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': 'https://orcid.org/', 'wave_contributor_identifier_type': 'ORCID', 'wave_contributor_name': 'Derks, Eske M.', 'wave_contributor_pid': '0000-0002-6292-6883'}], 'wave_creator': [{'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Boomsma, Dorret I.', 'wave_creator_pid': '0000-0002-7099-7972'}], 'wave_funding': [{'wave_funder_award_title': 'Investigator Initiated Research Grant (R01)', 'wave_funder_identifier_schemuri': 'https://ror.org/', 'wave_funder_identifier_type': 'ROR', 'wave_grant_number': 'MH58799-03'}], 'wave_publisher': [{'wave_publisher_identifier': 'https://ror.org/008xxew50', 'wave_publisher_identifier_type': 'ROR', 'wave_publisher_name': 'Vrije Universiteit Amsterdam'}], 'wave_references': [{'wave_references_citation': 'Derks EM, Hudziak JJ, Dolan CV, Ferdinand RF, Boomsma DI. The relations between DISC-IV DSM diagnoses of ADHD and multi-informant CBCL-AP syndrome scores. Compr Psychiatry. 2006 Mar-Apr;47(2):116-22. doi: 10.1016/j.comppsych.2005.05.006. PMID: 16490569.', 'wave_references_identifier': 'https://doi.org/10.1016/j.comppsych.2005.05.006', 'wave_references_identifier_type': 'DOI', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'Derks, E. M. (2006). Assessment and genetic aetiology of attention problems, hyperactivity, and related disorders.', 'wave_references_identifier': 'https://hdl.handle.net/1871/10547', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': "van 't Ent D, Lehn H, Derks EM, Hudziak JJ, Van Strien NM, Veltman DJ, De Geus EJ, Todd RD, Boomsma DI. A structural MRI study in monozygotic twins concordant or discordant for attention/hyperactivity problems: evidence for genetic and environmental heterogeneity in the developing brain. Neuroimage. 2007 Apr 15;35(3):1004-20. doi: 10.1016/j.neuroimage.2007.01.037. Epub 2007 Feb 8. PMID: 17346990; PMCID: PMC1939804.", 'wave_references_identifier': 'https://doi.org/10.1016/j.neuroimage.2007.01.037', 'wave_references_identifier_type': 'DOI', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': "van 't Ent D, van Beijsterveldt CE, Derks EM, Hudziak JJ, Veltman DJ, Todd RD, Boomsma DI, De Geus EJ. Neuroimaging of response interference in twins concordant or discordant for inattention and hyperactivity symptoms. Neuroscience. 2009 Nov 24;164(1):16-29. doi: 10.1016/j.neuroscience.2009.01.056. Epub 2009 Feb 3. PMID: 19409224; PMCID: PMC2760677.", 'wave_references_identifier': 'https://doi.org/10.1016/j.neuroscience.2009.01.056', 'wave_references_identifier_type': 'DOI', 'wave_references_type': 'IsDescribedBy'}], 'wave_subject_codes': [{'wave_subject_code': 'MC', 'wave_subject_code_translated': 'Mother (biological or non-biological) on Child'}]}]
resources	[]
tags	[]
groups	[]
relationships_as_subject	[]
relationships_as_object	[]
tracking_summary	{'total': 0, 'recent': 0}

Strengths and Weaknesses of Attention-Deficit/Hyperactivity Disorder Symptoms and Normal Behavior Scale (SWAN)

Netherlands Twin Register Cohort study

NTR: Young Netherlands Twin Register Cohort

YC_DSC Wave

YE_ATTEF2 Wave

YC_ADHMRI Wave