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National Survey of American Life - Adolescent Supplement (NSAL-A), 2001-2004 (ICPSR 36380)

Released/updated on: 2016-07-28

Geographic coverage: United States

Time period: 2001-01-01--2004-01-01

The National Survey of American Life Adolescent Supplement (NSAL-A), 2001-2004, was designed to estimate the lifetime-to-date and current prevalence, age-of-onset distributions, course, and comorbidity of DSM-IV disorders among African American and Caribbean adolescents in the United States; to identify risk and protective factors for the onset and persistence of these disorders; to describe patterns and correlates of service use for these disorders; and to lay the groundwork for subsequent follow-up studies that can be used to identify early expressions of adult mental disorders. In addition and similar to the NSAL adult dataset (Collaborative Psychiatric Epidemiology Surveys (CPES), 2001-2003 [United States] (ICPSR 20240)), the adolescent dataset contains detailed measures of health; social conditions; stressors; distress; racial identity; subjective, neighborhood conditions; activities and school; media; and social and psychological protective and risk factors. Numerous variables from the adult dataset have been merged into the adolescent dataset, as the NSAL adult and adolescent respondents reside in the same households. Some of these variables apply to the entire household (i.e. region, urbanicity, and family income), while others apply specifically to the NSAL adult respondent living in the adolescent's household (i.e. adult years of education, adult marital status, and adult nativity [foreign-born vs. US born]). The immigration measures were asked of Caribbean black adult respondents only. No comparable measures assess the immigration and generational status of the Caribbean black adolescent respondents. The adult dataset measures are merged into the adolescent dataset to assist in approximating these measures for adolescent respondents. The NSAL adolescent dataset also includes variables for other non-core and experimental disorders. These include tobacco use/nicotine dependence, premenstrual syndrome, minor depression, recurrent brief depression, hypomania, and hypomania sub-threshold. Demographic variables include age, race and ethnicity, ancestry or national origins, height, weight, marital status, income, and education level.

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Social Networks in Adult Life, 1980: [United States] (ICPSR 9254)

Released/updated on: 1993-04-09

Geographic coverage: United States

These data were gathered to provide information on Kahn and Antonucci's life-span developmental model, "convoys of social support," which explores interpersonal relationships over time. Older adults (aged 50+) were interviewed on their health status, labor force status, and other demographic characteristics, and on the composition and degree of closeness of members of their current support network (e.g., spouses, children, friends). Three concentric circles of closeness were defined, varying in terms of transcendence of the relationship beyond role requirements, stability over the life span, and exchange of many different types of support (confiding, reassurance, respect, care when ill, discussion when upset, and talk about health). The principal respondents named a total of 6,341 network members, ranging in age from 18 to 96 years. Detailed structural and functional characteristics were collected from the principal respondents on the first ten named members of each support network. Similar interviews were then conducted with one to three network members of those 259 principal respondents who were 70+ years old. Two data files are provided: Part 1 contains merged data from the interviews of both the principal respondents aged 70+ and their network members, and Part 2 contains data from the principal respondents aged 50+.

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United States Public Knowledge and Attitudes About Genetic Testing, 2000 (ICPSR 3904)

Released/updated on: 2024-02-14

Geographic coverage: United States

The primary goal of this national survey was to assess knowledge, attitudes, and behavior regarding genetic testing in humans. The survey gauged respondents' knowledge of which genetic defects can be detected by the prenatal testing of a fetus, whether genetic testing can predict heart attacks or detect a tendency to develop depression and certain types of cancer, and whether gene therapy can be used to correct many of the defects discovered through gene testing. Attitudes toward prenatal genetic testing were examined, including preferences for abortion in case of fetal defect, as well as attitudes toward genetic testing of adults, genetic testing in the workplace, and other aspects of genetic testing. Respondents reported whether they or their partner ever had a prenatal genetic test or received counseling for a prenatal test, their reasons for deciding to have or not have a test, and whether anything happened to the pregnancy as result of a test, e.g., abortion. In addition, respondents were asked if they ever had themselves tested for a genetic disease or received counseling for such tests, for which conditions they were tested, whether they tested positive or negative, with whom they shared the test results, and whether they lost a job, lost health or life insurance, or had their insurance premiums increased as a result of being tested. Sources of information for news about science or health, trust in doctors to keep medical information private, and confidence in the people running the government and corporations that make and sell genetic tests constitute some of the other topics covered by the survey. Background variables include sex, age, race, Hispanic origin, employment status, union membership, religious preference, religiosity, disability status and type of disability, health insurance coverage, state and geographic region of residence, income, and education.