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

- 25/02/2023 - 6 Formulaires, 1 Groupe Item, 11 Eléments de données, 1 Langue
Groupe Item: IG.elig
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*

pht008249.v1.p1

1 Groupe Item 5 Eléments de données

pht008245.v1.p1

1 Groupe Item 2 Eléments de données

pht008246.v1.p1

1 Groupe Item 6 Eléments de données

pht008247.v1.p1

1 Groupe Item 3 Eléments de données

pht008248.v1.p1

1 Groupe Item 8 Eléments de données

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