Life tables for the white and black populations of the United States, 1850-1940 (ICPSR 251240)
Life Tables for the United States, 1850-1940 (ICPSR 237510)
Longevity, Education, and Income: How Large is the Triangle? (ICPSR 236972)
CRELES-3: Costa Rican Longevity and Healthy Aging Study - Wave 3, 2009 (Costa Rica Estudio de Longevidad y Envejecimiento Saludable, Ronda 3) (ICPSR 35250)
CRELES-2: Costa Rican Longevity and Healthy Aging Study - Wave 2, 2006-2008 (Costa Rica Estudio de Longevidad y Envejecimiento Saludable, Ronda 2) (ICPSR 31263)
The Costa Rican Longevity and Healthy Aging Study (CRELES, or Costa Rica Estudio de Longevidad y Envejecimiento Saludable) is a nationally representative longitudinal survey of health and lifecourse experiences of 2,827 Costa Ricans ages 60 and over in 2005, the baseline collection. CRELES-2 refers to the second wave of visits in this longitudinal study, and includes the results from these visits. The first wave of interviews, or baseline, of CRELES is also available at http://doi.org/10.3886/ICPSR26681. The second wave fieldwork was conducted from October 2006 to July 2008, with 2,364 surviving and contacted participants. The original sample was drawn from Costa Rican residents in the 2000 population census who were born in 1945 or before, with an over-sample of the oldest-old (ages 95 and over). Vital statistics indicate that Costa Rica has an unusually high life expectancy for a middle-income country, even higher than that of the United States, but CRELES is the first nationally representative survey to investigate adult health levels in Costa Rica. CRELES public use data files contain information on a broad range of topics including self-reported physical health, psychological health, living conditions, health behaviors, health care utilization, social support, and socioeconomic status. Objective health indicators include anthropometrics, observed mobility, and biomarkers from fasting blood samples (such as cholesterol, glycosylated hemoglobin, and C-reactive protein). Mortality events are tracked and conditions surrounding death are measured in a surviving family interview.
CRELES: Costa Rican Longevity and Healthy Aging Study - Wave 1, 2005 (Costa Rica Estudio de Longevidad y Envejecimiento Saludable) (ICPSR 26681)
China Longitudinal Aging Social Survey (CLASS) 2016-2018 (ICPSR 191983)
The Life Expectancy of Older Couples and Surviving Spouses (ICPSR 138021)
Hispanic Established Populations for the Epidemiologic Study of the Elderly (HEPESE) Wave 8, 2012-2013 [Arizona, California, Colorado, New Mexico, and Texas] (ICPSR 36578)
The Hispanic EPESE provides data on risk factors for mortality and morbidity in Mexican Americans in order to contrast how these factors operate differently in non-Hispanic White Americans, African Americans, and other major ethnic groups.
The Wave 8 dataset comprises the seventh follow-up of the baseline Hispanic EPESE (HISPANIC ESTABLISHED POPULATIONS FOR THE EPIDEMIOLOGIC STUDIES OF THE ELDERLY, 1993-1994: [ARIZONA, CALIFORNIA, COLORADO, NEW MEXICO, AND TEXAS] [ICPSR 2851]). The baseline Hispanic EPESE collected data on a representative sample of community-dwelling Mexican Americans, aged 65 years and older, residing in the five southwestern states of Arizona, California, Colorado, New Mexico, and Texas.
The public-use data cover demographic characteristics (age, sex, marital status), height, weight, BMI, social and physical functioning, chronic conditions, related health problems, health habits, self-reported use of hospital and nursing home services, and depression. Subsequent follow-ups provide a cross-sectional examination of the predictors of mortality, changes in health outcomes, and institutionalization, and other changes in living arrangements, as well as changes in life situations and quality of life issues.
During this 8th Wave, 2012-2013, re-interviews were conducted either in person or by proxy, with 452 of the original respondents. This Wave also includes 292 re-interviews from the additional sample of Mexican Americans aged 75 years and over with higher average-levels of education than those of the surviving cohort who were added in Wave 5, increasing the total number of respondents to 744.
National Spinal Cord Injury Statistical Center (ICPSR 36567)
The National Spinal Cord Injury Statistical Center (NSCISC) is operated by the University of Alabama at Birmingham Department of Physical Medicine and Rehabilitation through funding from the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR). NSCISC supports and directs the collection, management, and analysis of the world's largest and longest spinal cord injury (SCI) research database. Organizationally, NSCISC is currently at the hub of a network of 14 NIDILRR-sponsored and 5 subcontract-funded Spinal Cord Injury Model Systems located at major medical centers throughout the United States. In addition to maintaining the national SCI database, NSCISC personnel conduct ongoing, database-oriented research. NSCISC produces annuals reports and "Facts and Figures at a Glance" which can be accessed here.
The National Spinal Cord Injury Database has been in existence since 1973 and captures data from an estimated 6% of new SCI cases in the U.S. Since its inception, 28 federally funded SCI Model Systems have contributed data to the National SCI Database. As of March 2016, the database contained information on 31,645 persons who sustained traumatic spinal cord injuries. To assure comparability of data acquired by personnel in various centers, rigid scientific criteria have been established for the collection, management, and analysis of information entered into the database. National Spinal Cord Injury Statistical Center staff has also developed quality control procedures that further enhance the reliability and validity of the database.
Within the scope of the Spinal Cord Injury Model System program, the purposes of the National SCI Database are as follows:
- to study the longitudinal course of traumatic SCI and factors that affect that course;
- to identify and evaluate trends over time in etiology, demographic, and injury severity characteristics of persons who incur a SCI;
- to identify and evaluate trends over time in health services delivery and treatment outcomes for persons with SCI;
- to establish expected rehabilitation treatment outcomes for persons with SCI; and
- to facilitate other research such as the identification of potential persons for enrollment in appropriate SCI clinical trials and research projects or as a springboard to population-based studies.
The Database, however, is not intended to study the effectiveness of model systems care as compared to other systems of health care delivery. It is also not by itself intended to gather and maintain population-based data on spinal cord injuries.
Cause-specific mortality rates by educational attainment, United States 1990-2010 (ICPSR 100262)
Facing Fate: Estimates of Longevity from Facial Appearance and their Underlying Cues (ICPSR 36046)
Aggregate Data, Regions of Russia (RoR), 1990-2010 (ICPSR 35355)
Hispanic Established Populations for the Epidemiologic Study of the Elderly (HEPESE) Wave 6, 2006-2007 [Arizona, California, Colorado, New Mexico, and Texas] (ICPSR 29654)
Eurobarometer 67.3: Health Care Service, Undeclared Work, EU Relations With Its Neighbor Countries, and Development Aid, May-June 2007 (ICPSR 21521)
National Long-Term Care Survey: 1982, 1984, 1989, 1994, 1999, and 2004 (ICPSR 9681)
The National Long-Term Care Survey (NLTCS) has completed six waves, nominally at five-year intervals, 1982, 1984, 1989, 1994, 1999, and 2004. The NLTCS is a nationally-representative sample both of the community and of institutionalized populations and is longitudinal in that sample persons join the survey once they reach 65 years of age and stay in the survey until they either die or are lost to follow-up. At each wave, a screener questionnaire is administered to the sample which divides the sample into three parts: the non-disabled (frequently called screen-outs), the disabled but living in the community, and the disabled living in an institution. About 5,000 people die between waves and are replaced by a sample of about that size of people who have become age 65 since the prior wave. Because of budget considerations it usually has not been possible to continue the entire non-disabled sample into the next wave. Instead a sample of the non-disabled is drawn to keep the total sample size for a wave at about 20,000. One of the interesting and useful features of the NLTCS is that data are collected on help that the sample person receives from informal caregivers.
The NLTCS is a very data-rich resource with many components, including disability measures, medical conditions, attained education levels, and income. Numerous papers have used it as a source of data addressing a wide variety of topics related to aging and disability.
Ancillary surveys have been added to measure other characteristics of the 65 and older population, to include a Caregiver Survey to acquire data on informal caregivers themselves (done in 1989, 1999, and 2004) and Next-of-Kin (NOK) surveys administered to sample persons who had died between 1982 and 1984 and again between 1994 and 1999. The sample has been frequently supplemented to compensate for low representation in some survey components, in particular the 75 years and older and 95 years and older components. In 1999 physical specimens were drawn from a sample of persons who responded to the survey. These physical specimens (blood where possible, alternatively a buccal wash) are subject to a genetic analysis and, in the case of blood, to a panel of proteins believed to be particularly important to health.
NLTCS Survey Data
Survey data are available in ASCII and SAS format.
The Analytic Data File, a file of derived variables for all waves of the survey incorporates correction factors and consistency checking. The Analytic Data File covers all waves of the survey and is available in both ASCII and SAS formats. Final versions of data for all waves, up to and including 1999 and a beta version for 2004, have been released and are supported by documentation.