ABC News/Washington Post Poll of Public Opinion on Health, September 1982 (ICPSR 9048)
Bruising as a Forensic Marker of Physical Elder Abuse in Orange County, California, 2006-2008 (ICPSR 28144)
Established Populations for Epidemiologic Studies of the Elderly, 1981-1993: [East Boston, Massachusetts, Iowa and Washington Counties, Iowa, New Haven, Connecticut, and North Central North Carolina] (ICPSR 9915)
Euro-Barometer 37.2: Elderly Europeans, April-May 1992 (ICPSR 9958)
Forensic Markers of Physical Elder Abuse, Los Angeles, California, 2014-2017 (ICPSR 37050)
These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.
This study sought to: (1) document the spectrum of injuries and injury characteristics observed among physically-abused older adults reported to Adult Protective Services (APS) and compare those findings to injuries found among non-abused older adults, (2) identify observable injury characteristics and abuse circumstances that healthcare providers, law enforcement and prosecutors consider to be key forensic markers of physical abuse, (3) document information and evidence integral for achieving successful criminal prosecution, and (4) describe approaches that community-based frontline workers can employ to better document evidence of physical abuse.
The data included in this collection were collected under a National Institute of Justice-funded project that sought to document the spectrum and characteristics of injuries observed among physically abused, community-dwelling APS clients.
The collection includes two SAS datasets: injury.sas7bdat (with 47 variables and 403 cases) and subjectleveldata.sas7bdat (with 122 variables and 165 cases); and three SAS System Program Files: analysis-code-v1.sas, cleaned-injury-datasets-v1.sas, and formats.sas. Demographic variables in the collection are in the subjectleveldata.sas7bdat dataset, and include age, year of birth, gender, race, language, and level of education.
Hispanic Established Populations for the Epidemiologic Study of the Elderly (HEPESE) Wave 9, 2016 [Arizona, California, Colorado, New Mexico, and Texas] (ICPSR 39038)
The Hispanic EPESE provides data on risk factors for mortality and morbidity in older Mexican Americans in order to contrast how these factors operate differently than in non-Hispanic Whites, African Americans, and other major ethnic groups.
The Wave 9 dataset comprises the eighth follow-up of the baseline 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 covers demographic characteristics (age, sex, type of Hispanic race, income, education, marital status, number of children, employment, and religion), height, weight, social and physical functioning, chronic conditions, related health problems, health behaviors, self-reported use of dental, hospital, and nursing home services, and depression. Subsequent follow-ups allow examination of the predictors of mortality, changes in health outcomes, institutionalization, changes in living arrangements, as well as changes in life situations and quality of life.
During this 9th Wave (Dataset 1), 2016, 480 re-interviews were conducted either in person or by proxy, with 283 of the original respondents interviewed in 1993-1994. This Wave also includes 197 re-interviews from the 902 new respondents added at Wave 5 in 2004-2005. All respondents were aged 85 and over at Wave 9.
The Wave 9 Informant Interviews dataset (Dataset 2) includes data from interviews with 460 respondents who provided information on themselves as well as the older respondents. The older respondents were asked to provide the name and contact information of the person they are "closer to" or they "depend on the most for help." These INFORMANTS, many of whom provide caregiving support to the older respondents, were contacted, and interviewed regarding the health, function, social situation, finances, and general well-being of the older Hispanic EPESE respondents. Information was also collected on the informant's health, function, and caregiver responsibilities and burden. This dataset includes information from the 460 informants, more than two-thirds of whom were children of the respective respondents. Thus, there are 460 respondent-informant dyads that provide opportunities for caregiving research.
Hispanic Health and Nutrition Examination Survey, 1982-1984 (ICPSR 8535)
Midlife in the United States (MIDUS 3): Biomarker Project, 2017-2022 (ICPSR 38837)
The Biomarker Project is one of multiple projects that comprise the MIDUS 3 (M3) "Integrative Pathways to Health and Illness" study. For the past two decades, the overarching objective of MIDUS has been to investigate linkages between sociodemographic, psychosocial, behavioral, and neurobiological variables to account for unfolding profiles of morbidity and mortality across the decades of adult life as well as the maintenance of good health and functional capacities. The study has facilitated analyses that pay attention simultaneously to age, gender, race, and socioeconomic variation in how psychosocial and neurobiological variables are linked. In addition, the M3 data permit longitudinal assessment of the impact of ongoing historical events, such as the 2008 economic recession, on the health of diverse-aged adults, which was also included in the MIDUS Refresher 1 (MR1) assessments. M3 included recruitment of additional twins to facilitate genomic analysis.
The M3 Biomarker Project (P4) includes assessment of multiple indicators of physiological regulation/dysregulation and health according to the basic protocol implemented in the MR1 study, which repeated and expanded the M2 biomarker protocol. The M3 protocol included bone density and body composition assessments at all sites and expansion of Actigraphy, Ankle Brachial Index (ABI) and Gait assessments to all three sites. Data were collected during a 24-hour stay at one of three Clinical Research Units (CRU).
National Health and Nutrition Examination Survey I, 1971-1975: Health Care Needs, General Medical History and Supplements on Respiratory and Cardiovascular Data (ICPSR 8061)
National Health and Nutrition Examination Survey I, 1971-1975: Model Gram File Composition (ICPSR 8070)
National Health and Nutrition Examination Survey I: Epidemiologic Follow-Up Study, 1982-1984 (ICPSR 8900)
National Health and Nutrition Examination Survey I: Epidemiologic Follow-Up Study, 1987 (ICPSR 9854)
National Health and Nutrition Examination Survey I: Epidemiologic Follow-up Study, 1992 (ICPSR 6861)
National Health and Nutrition Examination Survey II, 1976-1980: Behavioral Questionnaire, Ages 25-74 Years (ICPSR 9552)
National Health and Nutrition Examination Survey II, 1976-1980: Medical History Ages 12-74 Years (ICPSR 8183)
National Health and Nutrition Examination Survey II, 1976-1980: Medical History Ages 6 Months-11 Years (ICPSR 8182)
National Health and Nutrition Examination Survey II, 1976-1980: Physician Examination, Ages 6 Months-74 Years (ICPSR 8686)
National Health Interview Survey, 1976: Diabetes Supplement (ICPSR 9705)
National Health Interview Survey, 1987: Cancer Risk Factor Supplement, Epidemiology Study (ICPSR 9341)
National Health Interview Survey, 1989: Diabetes Supplement (ICPSR 6048)
National Health Interview Survey, 1992: Cancer Control Supplement (ICPSR 6344)
National Health Interview Survey, 1992: Cancer Epidemiology Supplement (ICPSR 6349)
National Medical Expenditure Survey, 1987: Survey of American Indians and Alaska Natives, Population Data, Data from the Health Status Questionnaire and Access to Care Supplement, and Expenditures and Sources of Payment Data [Public Use Tape 37] (ICPSR 6490)
National Mortality Followback Survey, 1966-1968 (ICPSR 8370)
National Mortality Followback Survey, 1986 (ICPSR 9410)
National Mortality Followback Survey, 1993 (ICPSR 2900)
National Survey of the Aged [United States], 1957 (ICPSR 7686)
Social Environment and Biomarkers of Aging Study (SEBAS) in Taiwan, 2000 and 2006 (ICPSR 3792)
The Social Environment and Biomarkers of Aging Study (SEBAS) in Taiwan, 2000 and 2006, provides information regarding the health and well-being of older persons in Taiwan. Taiwan has undergone rapid demographic, social, and economic changes, becoming a highly urbanized and industrial society with a growing population of persons age 65 or older. SEBAS explores the relationship between life challenges and mental and physical health, the impact of social environment on the health and well-being of the elderly, as well as biological markers of health and stress. The study collected self-reports of physical, psychological, and social well-being, plus extensive clinical data based on medical examinations and laboratory analyses. Examination of health outcomes included chronic illnesses, functional status, psychological well-being, and cognitive function. Questions regarding life challenges focused on perceived stress, economic difficulties, security and safety, and the consequences of a major earthquake. Biological markers were used to identify cardiovascular risk factors, metabolic process measures, immune-system activity, the hypothalamic-pituitary adrenal axis, and sympathetic nervous system activity. Two rounds of biomarker data collected in 2000 and 2006 were complemented by face-to-face interviews with the participants. Demographic and background variables included age, sex, education, ethnicity, occupation, and residency.
Additional information about the Social Environment and Biomarkers of Aging Study can be found at the Georgetown University Center for Populations and Health Web site.
A Webinar describing the Social Environment and Biomarkers of Aging Study (SEBAS) was presented June 20, 2016. All interested users can access the webinar here.
Tecumseh Community Health Study, 1959-1969 (ICPSR 8969)
WHO Study on Global AGEing and Adult Health (SAGE): Wave 0, 2002-2004 (ICPSR 28502)
WHO Study on Global AGEing and Adult Health (SAGE): Wave 1, 2007-2010 (ICPSR 31381)
The World Health Organization (WHO)'s Study on Global Ageing and Adult Health (SAGE) is a longitudinal follow-up of a cohort of ageing and older adults. SAGE has been built on the experience and standardized instruments of WHO's 2000/2001 Multi-country Survey Study (MCSS) and the 2002/2004 World Health Surveys (WHS).
These surveys focused on health and health-related outcomes and their determinants and impacts in nationally representative samples. These data will address data gaps on ageing, adult health and well-being in lower and middle income countries, whilst being comparable to surveys conducted in higher income countries (such as the United States' Health and Retirement Study (HRS), English Longitudinal Study of Ageing (ELSA), and the Survey of Health, Ageing and Retirement in Europe (SHARE)). One of the major drivers of this effort has been the lack of comparability of self-reported health status in international health surveys due to systematic biases in reporting, despite using similar instruments and attempts at making questions conceptually equivalent in translation. SAGE uses standard instruments developed over the last decade, a common design and training approach with explicit strategies for making data comparable to cover a wide range of issues that directly and indirectly impact health and well-being.
The survey methodology and research design has included a number of methods to address methods for detecting and correcting for systematic reporting biases in health interview surveys, including vignette methodologies, objective performance tests and biomarkers. A number of techniques have also been employed to improve data comparability, including using common definitions of concepts, common methods of data collection and translations, rigorous sample design and post hoc harmonization. The 2007-2010 SAGE Wave 1 data from six countries (China, Ghana, India, Mexico, Russia, and South Africa) is the follow-up survey project to the 2002-2004 WHO data, which constitutes Wave 0 of WHO's Study on Global Ageing and Adult Health (SAGE). A sample of these respondents from SAGE Wave 0 are included in this follow-up 2007-2010 SAGE Wave 1 in the six countries, with new respondents added to ensure a nationally representative sample.