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Showing 1 – 5 of 5 results.
Curated

Australian [Adelaide] Longitudinal Study of Aging, Wave 6: [1999-2000] (ICPSR 3679)

Released/updated on: 2006-01-18
Geographic coverage: Australia, Global
Time period: 1999-01-01--2000-01-01
The general purpose of the Australian [Adelaide] Longitudinal Study of Aging (ALSA) is to gain further understanding of how social, biomedical, and environmental factors are associated with age-related changes in the health and well-being of persons aged 70 years and older. Emphasis is given to the effects of social and economic factors on morbidity, disability, acute and long-term care service use, and mortality. The aim is to analyze the complex relationships between individual and social factors and changes in health status, health care needs, and service utilization dimensions. Components of Wave 6 (1999-2000) (Part 1) include a comprehensive personal interview conducted via the Computer-Assisted Personal Interview (CAPI) system, a home-based assessment of physiological functions, self-completed questionnaires, and additional clinical studies. In Part 2, Wave 6 Clinical Data, information about the health histories of the respondents was elicited, including information on medication, blood pressure, and physical and mental disabilities.
Curated

Australian [Adelaide] Longitudinal Study of Aging, Waves 1-5 [1992-1997] (ICPSR 6707)

Released/updated on: 2005-11-04
Geographic coverage: Australia, Global
Time period: 1992-01-01--1997-01-01
The general purpose of the Australian Longitudinal Study of Aging (ALSA) is to gain further understanding of how social, biomedical, and environmental factors are associated with age-related changes in the health and well-being of persons aged 70 years and older. Emphasis is given to the effects of social and economic factors on morbidity, disability, acute and long-term care service use, and mortality. The aim is to analyze the complex relationships between individual and social factors and changes in health status, health care needs, and service utilization dimensions. Components of Wave 1 (1992-1993) (Part 1) included a comprehensive personal interview conducted via the Computer-Assisted Personal Interview (CAPI) system, a home-based assessment of physiological functions, self-completed questionnaires, and additional clinical studies. Wave 2 (1993-1994), Wave 3 (1994-1995), Wave 4 (1995-1996), and Wave 5 (1996-1997) (Parts 2, 7, 8, and 10, respectively) included questions regarding changes in domicile, current health and functional status, new morbidity conditions, changes in medication, major life events, general life satisfaction, and changes in economic circumstances. For Wave 3 Clinical Data (Part 9) information about the health histories of the respondents was elicited, including information on medication, blood pressure, and physical and mental disabilities.
Curated

Cross-National Equivalent File (CNEF), 1970-2009 (ICPSR 145)

Released/updated on: 2006-06-19
Geographic coverage: Canada, South Korea, Great Britain, United States, Australia, Switzerland, Germany, Russia
The Cross-National Equivalent File 1970-2009 contains equivalently defined variables for the British Household Panel Study (BHPS), the Household Income and Labour Dynamics in Australia (HILDA), the Korea Labor and Income Panel Study (KLIPS), the Panel Study of Income Dynamics (PSID), the Russia Longitudinal Monitoring Survey (RLMS-HSE), the Swiss Household Panel (SHP), the Canadian Survey of Labour and Income Dynamics (SLID), and the German Socio-Economic Panel (G-SOEP). The data are designed to allow cross-national researchers not experienced in panel data analysis to access a simplified version of these panels, while providing experienced panel data users with guidelines for formulating equivalent variables across countries. Most importantly, the equivalent file provides a set of constructed variables (for example pre- and post-government income and United States and international household equivalence weights) that are not directly available on the original surveys. Since the Cross-National Equivalent File 1970-2009 can be merged with the original surveys, PSID-CNEF users can easily incorporate these constructed variables into current analyses.
Curated

Cross-National Statistics on the Causes of Death, 1966-1974 (ICPSR 7624)

Released/updated on: 2005-11-04
Geographic coverage: Angola, Wales, East Timor, England, Paraguay, Portugal, Syria, Bahamas, Grenada, Gibralter, Greece, Cayman Islands, Iran, Montserrat, Panama, Guadeloupe, Guatemala, Guyana, Virgin Islands of the United States, Iraq, Chile, Argentina, Falkland Islands, Africa, Seychelles, Belize, Northern Ireland, Anguilla, Canada, Guinea-Bissau, Belgium, Finland, Faroe Islands, Trinidad and Tobago, Jamaica, Peru, Germany, Yemen, Puerto Rico, Fiji, Hong Kong, United States, Sao Tome and Principe, Thailand, Equatorial Guinea, Western Samoa, Costa Rica, Sweden, Liechtenstein, Poland, Kuwait, Jordan, Bulgaria, Uruguay, Sri Lanka, Cook Islands, Kenya, Switzerland, Spain, French Polynesia, Brunei, Cuba, Venezuela, Czech Republic, Saint Lucia, Israel, San Marino, Australia, Myanmar, Bermuda Islands, Malaysia, North America, Wallis and Futuna, Iceland, Global, Niue, South Korea, Austria, Yugoslavia, Mozambique, El Salvador, Monaco, Luxembourg, Brazil, Guam, Ecuador, Colombia, Hungary, Japan, Europe, Mauritius, Norfolk Island, New Zealand, Italy, Honduras, Nauru, Singapore, French Guiana, Egypt, Scotland, American Samoa, Christmas Island, Bolivia, Malta, Cape Verde, Netherlands, Ireland, Martinique, France, Saint Pierre and Miquelon, Saint Kitts-Nevis, Reunion, Romania, Philippines, Nicaragua, Barbados, Asia, Norway, Saint Vincent and the Grenadines, Macao, Denmark, Dominican Republic, British Virgin Islands, Mexico, Suriname, Pacific Ocean, Greenland, Dominica
Time period: 1966-01-01--1974-01-01
These data are a collection of demographic statistics for the populations of 125 countries or areas throughout the world, prepared by the Statistical Office of the United Nations. The units of analysis are both country and data year. The primary source of data is a set of questionnaires sent monthly and annually to national statistical services and other appropriate government offices. Data include statistics on approximately 50 types of causes of death for the years 1966 through 1974 for males, females, and total populations.
Curated

Human Mortality Database (ICPSR 138)

Released/updated on: 2006-06-19
Geographic coverage: United States, Wales, England, Iceland, Global, Russia, Netherlands, Sweden, Austria, Latvia, Slovakia, France, Bulgaria, Lithuania, Hungary, Japan, Switzerland, Spain, New Zealand, Canada, Czech Republic, Belgium, Norway, Finland, Denmark, Italy, Australia, Germany
The Human Mortality Database (HMD) was created to provide detailed mortality and population data to researchers, students, journalists, policy analysts, and others interested in the history of human longevity. The project began as an outgrowth of earlier projects in the Department of Demography at the University of California, Berkeley, USA, and at the Max Planck Institute for Demographic Research in Rostock, Germany. It is the work of two teams of researchers in the USA and Germany. The main goal of the database is to document the longevity revolution of the modern era and to facilitate research into its causes and consequences. At present, the database contains detailed data for a collection of 26 countries. The countries involved are Australia, Austria, Belgium, Bulgaria, Canada, Czech Republic, Denmark, the total and civilian populations of England and Wales, Finland, France, Germany, West Germany, East Germany, Hungary, Iceland, Italy, Japan, Latvia, Lithunia, Netherlands, the Maori and Non-Maori populations of New Zealand, Norway, Russia, Slovakia, Spain, Sweden, Switzerland, and the United States.