National Longitudinal Study of Adolescent Health (Add Health), 1994-2008: Wave IV Biomarker Data [Restricted Use] (ICPSR 33443)

Version Date: Jun 30, 2014 View help for published

Principal Investigator(s): View help for Principal Investigator(s)
Kathleen Mullan Harris, University of North Carolina-Chapel Hill; J. Richard Udry, University of North Carolina-Chapel Hill

https://doi.org/10.3886/ICPSR33443.v5

Version V5

This version of the data collection is no longer distributed by ICPSR.

Additional information may be available in Collection Notes.

2014-06-30: This study has been deaccessioned and is no longer distributed by ICPSR or DSDR. More information on accessing Add Health restricted-use data can be found on the Add Health website.

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The National Longitudinal Study of Adolescent Health (Add Health) is a longitudinal study of a nationally representative sample of adolescents in grades 7-12 in the United States during the 1994-1995 school year. The Add Health cohort has been followed into young adulthood with four in-home interviews, the most recent in 2008, when the sample was aged 24-32. Add Health combines longitudinal survey data on respondents' social, economic, psychological, and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships, providing unique opportunities to study how social environments and behaviors in adolescence are linked to health and achievement outcomes in young adulthood. The fourth wave of interviews expanded the collection of biological data in Add Health to understand the social, behavioral, and biological linkages in health trajectories as the Add Health cohort ages through adulthood.

This component of the Add Health restricted data is the Biomarker Data. The Glucose/HbA1c data file contains two measures of glucose homeostasis based on assays of the Wave IV dried blood spots: Glucose (mg/dl) and Hemoglobin A1c (HbA1c, %). Six additional constructed measures -- fasting duration, classification of fasting glucose, classification of non-fasting glucose, classification of HbA1c, diabetes medication, and a joint classification of glucose, HbA1c, self-reported history of diabetes, and anti-diabetic medication use -- are also included.

The Lipids data file contains measures of triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), non-high-density lipoprotein cholesterol, and total cholesterol to high-density lipoprotein cholesterol ratio. Additional variables include, measurement method for triglycerides (TG), total cholesterol (TC), high-density lipoprotein choleserol (HDL-C), Antihyperlipidemic medication use, joint classification of self-reported history of Hyperlipidemia and Antihyperlipidemic medication use, and fasting duration.

For more information, please see the study website.

Harris, Kathleen Mullan, and Udry, J. Richard. National Longitudinal Study of Adolescent Health (Add Health), 1994-2008: Wave IV Biomarker Data [Restricted Use]. Ann Arbor, MI: Carolina Population Center, University of North Carolina-Chapel Hill [distributor], Inter-university Consortium for Political and Social Research [distributor], 2014-06-30. https://doi.org/10.3886/ICPSR33443.v5

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United States Department of Health and Human Services. National Institutes of Health. Eunice Kennedy Shriver National Institute of Child Health and Human Development (P01-HD31921), United States Department of Health and Human Services. National Institutes of Health. National Cancer Institute, United States Department of Health and Human Services. National Institutes of Health. National Institute on Alcohol Abuse and Alcoholism, United States Department of Health and Human Services. National Institutes of Health. National Institute on Deafness and Other Communication Disorders, United States Department of Health and Human Services. National Institutes of Health. National Institute on Drug Abuse, United States Department of Health and Human Services. National Institutes of Health. National Institute of General Medical Sciences, United States Department of Health and Human Services. National Institutes of Health. National Institute of Mental Health, United States Department of Health and Human Services. National Institutes of Health. National Institute of Nursing Research, United States Department of Health and Human Services. National Institutes of Health. Office of AIDS Research, United States Department of Health and Human Services. National Institutes of Health. Office of Behavioral and Social Sciences Research, United States Department of Health and Human Services. National Institutes of Health. Office of Research on Women's Health, United States Department of Health and Human Services. Office of Public Health and Science. Office of Population Affairs, United States Department of Health and Human Services. Centers for Disease Control and Prevention. National Center for Health Statistics, United States Department of Health and Human Services. Centers for Disease Control and Prevention. Office of Minority Health and Health Disparities, United States Department of Health and Human Services. Office of Public Health and Science. Office of Minority Health, United States Department of Health and Human Services. Office of the Assistant Secretary for Planning and Evaluation, National Science Foundation
academic achievement   adolescents   alcohol consumption   biomarkers   birth control   classroom environment   dating (social)   diabetes   drinking behavior   drug use   eating habits   educational environment   families   family planning   family relationships   family structure   friendships   health   health behavior   health care access   health status   household composition   interpersonal relations   living arrangements   marriage   neighborhood characteristics   neighborhoods   parent child relationship   parental attitudes   parental influence   physical characteristics   physical condition   physical fitness   physical limitations   public assistance programs   religious behavior   religious beliefs   reproductive history   school attendance   self concept   self esteem   sexual attitudes   sexual behavior   smoking   social environment   social networks   tobacco use   violence   welfare services

All data in this study are restricted and are available under a Restricted Data Use Agreement.

Carolina Population Center, University of North Carolina-Chapel Hill, Inter-university Consortium for Political and Social Research
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1994 -- 2008
1994 -- 2008
  1. 2014-06-30: This study has been deaccessioned and is no longer distributed by ICPSR or DSDR. More information on accessing Add Health restricted-use data can be found on the Add Health website.

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Wave I, Stage 1 School sample: stratified, random sample of all high schools in the United States. A school was eligible for the sample if it included an 11th grade and had a minimum enrollment of 30 students. A feeder school, a school that sent graduates to the high school and that included a 7th grade, was also recruited from the community. Wave I, Stage 2: An in-home sample of 27,000 adolescents was drawn consisting of a core sample from each community plus selected special over samples. Eligibility for over samples was determined by an adolescent's responses on the In-School Questionnaire. Adolescents could qualify for more than one sample. In addition, parents were asked to complete a questionnaire about family and relationships. The Wave II in-home interview sample is the same as the Wave I in-home interview sample, with a few exceptions. Information about neighborhoods/communities was gathered from a variety of previously published databases. Wave III: The in-home Wave III sample consists of Wave I respondents who could be located and re-interviewed six years later. Wave III also collected High School Transcript Release Forms as well as samples of urine and saliva.

Longitudinal

Adolescents in grades 7-12 and their families.

individual
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2012-02-23

2018-02-15 The citation of this study may have changed due to the new version control system that has been implemented. The previous citation was:
  • Harris, Kathleen Mullan, and J. Richard Udry. National Longitudinal Study of Adolescent Health (Add Health), 1994-2008: Wave IV Biomarker Data [Restricted Use]. ICPSR33443-v5. Chapel Hill, NC: Carolina Population Center, University of North Carolina-Chapel Hill/Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributors], 2013-11-07. http://doi.org/10.3886/ICPSR33443.v5

2013-11-14 Public release of documentation guides and codebooks.

2013-11-07 Part 4 was added and it includes new Biomarker Lipid Data.

2013-03-08 Part 2 was updated following a resupply of the data by the Principal Investigators. Specifically, additional variables added to the data file, and CRP and EBV values have been recalculated, resulting in minimal changes to the data. The associated documentation and codebook files were also updated. Finally, a user guide describing measures of inflammation and immune function for Part 2 was also added.

2012-11-07 The codebook associated with Part 3, along with a documentation file that contains the original codebook supplied by the principal investigators, was made publicly available.

2012-11-01 Part 3 was added and it includes Biomarker Consent Data. The codebook associated with Part 3, along with a documentation file that contains the original codebook supplied by the principal investigators, was also added. Part 1 was updated, along with the associated documentation files.

2012-05-07 A new CRP and EBV Test restul data has been added to the study as part 2 of the study.

2012-02-28 Documentation was updated.

2012-02-23 ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:

  • Performed consistency checks.
  • Standardized missing values.
  • Checked for undocumented or out-of-range codes.
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