Knowledge, Attitudes, and Practice of Contraception in Taiwan: Fifth Province-Wide Fertility Survey (KAP V), 1979 (ICPSR 6866)
Knowledge, Attitudes, and Practice of Contraception in Taiwan: First Province-Wide Fertility Survey (KAP I), 1965 (ICPSR 6862)
Knowledge, Attitudes, and Practice of Contraception in Taiwan: Fourth Province-Wide Fertility Survey (KAP IV), 1973 (ICPSR 6865)
Knowledge, Attitudes, and Practice of Contraception in Taiwan: Second Province-Wide Fertility Survey (KAP II), 1967 (ICPSR 6863)
Knowledge, Attitudes, and Practice of Contraception in Taiwan: Sixth Province-Wide Fertility Survey (KAP VI), 1986 (ICPSR 6867)
Knowledge, Attitudes, and Practice of Contraception in Taiwan: Third Province-Wide Fertility Survey (KAP III), 1970 (ICPSR 6864)
Midlife in the United States (MIDUS): Survey of Minority Groups [Chicago and New York City], 1995-1996 (ICPSR 2856)
National Survey of American Life - Adolescent Supplement (NSAL-A), 2001-2004 (ICPSR 36380)
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.
Survey of Midlife in Japan (MIDJA 2), May-October 2012 (ICPSR 36427)
In 2008, with funding from the National Institute on Aging (NIA), baseline survey data for the Survey of Midlife in Japan (MIDJA), April-September 2008 were collected from a probability sample of Japanese adults (N=1,027) aged 30 to 79 from the Tokyo metropolitan area (ICPSR 30822). In 2009-2010 biomarker data was obtained from a subset of these cases (ICPSR 34969).
The survey and biomarker measures obtained parallel those in a national longitudinal sample of Americans known as Midlife in the United States or MIDUS (ICPSR 2760: MIDUS 1 and ICPSR 4652: MIDUS 2). The central objective was to compare the Japanese sample (MIDJA) with the United States sample (MIDUS) to test hypotheses about the role of psychosocial factors in the health (broadly defined) of mid- and later-life adults in Japan and the United States.
In 2012, with additional support from NIA, a longitudinal follow-up of the MIDJA sample was completed. The data collection for this second wave (N=657) largely repeated the baseline assessments. The goal of the follow-up wave was to conduct comparisons of longitudinal data available from the Japanese sample (MIDJA) and the United States sample (MIDUS) to test the hypothesis about the role of psychosocial factors in predicting health changes (including biomarkers) in both cultural contexts. Cultural influences on age differences in health and well-being were also of interest.
Demographic and background information included gender, age, education, marital status, household composition, and income.