ID

45613

Description

Principal Investigator: Kathleen Mullan Harris, PhD, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA MeSH: Adolescent Health,National Longitudinal Study of Adolescent Health,Obesity,Body Weight,Cholesterol,C-Reactive Protein,Depression,Alcohol Drinking,Smoking,Personality,Life Style,Ethnic Groups,Health Status,Population Groups,Housing,Socioeconomic Factors,Educational Status,Employment,Family Characteristics,Income,Occupations,Poverty,Risk Factors https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001367 The National Longitudinal Study of Adolescent to Adult Health [Add Health] is an ongoing longitudinal study of a nationally representative U.S. cohort of more than 20,000 adolescents in grades 7-12 (aged 12-19 years) in 1994 followed into adulthood with five interviews/surveys in 1995, 1996, 2001-02, 2008, and 2016-18. Add Health was designed to understand how social environments and behaviors in adolescence are linked to health and achievement outcomes in young adulthood. Add Health contains unprecedented environmental, behavioral, psychosocial, biological, and genetic data from early adolescence and into adulthood on a large, nationally representative cohort with unprecedented racial, ethnic, socioeconomic, and geographic diversity. Add Health has a large, multidisciplinary user base of over 50,000 researchers around the world who have published over 3,400 research articles. Add Health is housed at the Carolina Population Center of the University of North Carolina at Chapel Hill. Add Health datasets are distributed according to a tiered data disclosure plan designed to protect the data from the risk of direct and indirect disclosure of respondent identity. Add Health's large sample size, population diversity and rich longitudinal data base of psychosocial, physical, and contextual data will permit investigation of an exceptionally broad range of phenotypes with known genetic variation. Prospective longitudinal measures are available to document change over time in each of these phenotypes, as well as change in the social environment and life experiences, making the Add Health sample ideal for understanding genetic linkages with health and behavior across the life course. The original design of Add Health included important features for understanding biological processes in health and developmental trajectories across the life course of young people, including an embedded genetic sample with more than 3,000 pairs of adolescents with varying biological resemblance (e.g., twins, full sibs, half sibs, and adolescents who grew up in the same household but have no biological relationship), testing of saliva and urine for sexually transmitted infections and HIV, and biomarkers of cardiovascular health, metabolic processes, immune function, renal function, and inflammation. Add Health therefore has critical objective indicators of health status and disease markers in young adulthood, well before chronic illness or its complications emerge in later adulthood. Because DNA has been collected on the full sample at Wave IV, it is possible to link genetic profiles with social, behavioral, and biological measures over time from adolescence into adulthood. Add Health sampled the multiple environments in which young people live their lives, including the family, peers, school, neighborhood, community, and relationship dyads, and provides independent and direct measurement of these environments over time. Add Health contains extensive longitudinal information on health-related behavior, including life histories of physical activity, involvement in risk behavior, substance use, sexual behavior, civic engagement, education, and multiple indicators of health status based on self-report (e.g., general health, chronic illness), direct measurement (e.g., overweight status and obesity), and biomarkers. No other data resource with this expanse of genotype and phenotype data on a large nationally representative longitudinal sample with race, ethnic, socioeconomic, and geographic diversity exists. A complete reference guide on study design and accomplishments can be found on the Add Health website: Design Paper: *The Add Health Study: Design and Accomplishments Kathleen Mullan Harris Carolina Population Center University of North Carolina at Chapel Hill 2013*

Link

dbGaP study = phs001367

Keywords

  1. 25/02/2023 25/02/2023 - Simon Heim
Copyright Holder

Kathleen Mullan Harris, PhD, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

Uploaded on

25 février 2023

DOI

To request one please log in.

License

Creative Commons BY 4.0

Model comments :

You can comment on the data model here. Via the speech bubbles at the itemgroups and items you can add comments to those specificially.

Itemgroup comments for :

Item comments for :

In order to download data models you must be logged in. Please log in or register for free.

dbGaP phs001367 Add Health: The National Longitudinal Study of Adolescent to Adult Health (Add Health)

The phenotype dataset provides basic sociodemographic and body height information.

pht008248
Description

pht008248

Alias
UMLS CUI [1,1]
C3846158
DE-IDENTIFIED SUBJECT ID
Description

GID

Data type

text

Alias
UMLS CUI [1,1]
C4684638
UMLS CUI [1,2]
C2348585
WEIGHTING PRIMARY SAMPLING UNIT
Description

PSU

Data type

text

Alias
UMLS CUI [1,1]
C1882459
UMLS CUI [1,2]
C0871431
WEIGHTING STRATA
Description

STRATA

Data type

text

Alias
UMLS CUI [1,1]
C0871431
UMLS CUI [1,2]
C5237020
GWAS WEIGHT
Description

GWGT

Data type

float

Alias
UMLS CUI [1,1]
C2350277
UMLS CUI [1,2]
C0005910
GENDER
Description

GENDER

Data type

text

Alias
UMLS CUI [1,1]
C0079399
MEASURED HEIGHT (CM)
Description

HGT

Data type

float

Measurement units
  • Centimeters
Alias
UMLS CUI [1,1]
C0005890
Centimeters
AGE
Description

AGE

Data type

text

Measurement units
  • Years
Alias
UMLS CUI [1,1]
C0001779
Years
RACE
Description

RACE

Data type

text

Alias
UMLS CUI [1,1]
C0034510

Similar models

The phenotype dataset provides basic sociodemographic and body height information.

Name
Type
Description | Question | Decode (Coded Value)
Data type
Alias
Item Group
pht008248
C3846158 (UMLS CUI [1,1])
GID
Item
DE-IDENTIFIED SUBJECT ID
text
C4684638 (UMLS CUI [1,1])
C2348585 (UMLS CUI [1,2])
PSU
Item
WEIGHTING PRIMARY SAMPLING UNIT
text
C1882459 (UMLS CUI [1,1])
C0871431 (UMLS CUI [1,2])
STRATA
Item
WEIGHTING STRATA
text
C0871431 (UMLS CUI [1,1])
C5237020 (UMLS CUI [1,2])
GWGT
Item
GWAS WEIGHT
float
C2350277 (UMLS CUI [1,1])
C0005910 (UMLS CUI [1,2])
Item
GENDER
text
C0079399 (UMLS CUI [1,1])
Code List
GENDER
CL Item
MALE (1)
C0086582 (UMLS CUI [1,1])
CL Item
FEMALE (2)
C0086287 (UMLS CUI [1,1])
HGT
Item
MEASURED HEIGHT (CM)
float
C0005890 (UMLS CUI [1,1])
AGE
Item
AGE
text
C0001779 (UMLS CUI [1,1])
Item
RACE
text
C0034510 (UMLS CUI [1,1])
Code List
RACE
CL Item
WHITE (1)
CL Item
BLACK (2)
CL Item
NATIVE AMERICAN (3)
CL Item
ASIAN (4)
CL Item
HISPANIC (5)

Please use this form for feedback, questions and suggestions for improvements.

Fields marked with * are required.

Do you need help on how to use the search function? Please watch the corresponding tutorial video for more details and learn how to use the search function most efficiently.

Watch Tutorial