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http://brainhealthregistry.org/

A website aimed at recruiting and assessing subjects for all types of neuroscience studies with the internet. The hope is to accelerate various types of observational studies and clinical trials, and also reduce costs. They are interested in having people, including healthy subjects of all ages, join the registry. Joining only takes a few minutes. The web-based project is designed to speed up cures for Alzheimer's, Parkinson's and other brain disorders. It uses online questionnaires and online neuropsychological tests (which are very much like online brain games).

Proper citation: Brain Health Registry (RRID:SCR_010230) Copy   

•   Source: SciCrunch Registry

http://ki.se/imm/cefalo-studien

Saliva taken from participants in a study investigating the association between environmental exposures and brain tumors in children aged 7-19 years and the interaction between these risk factors and genetic polymorphisms, which may confer susceptibility to effects of exogenous agents. Sample types: * Saliva Number of sample donors: 886 (sample collection completed)

Proper citation: KI Biobank - CEFALO (RRID:SCR_006034) Copy   

•   Source: SciCrunch Registry

http://dsarm.niapublications.org/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on February 18, 2014.

A networking site for investigators using animal models to study aging, developed to provide a venue for sharing information about research models for aging studies. If you have tissue or data from animal models relevant to aging research that you are willing to share with other investigators, D-SARM allows you to identify the model and provides a secure, blinded email contact for investigators who would like to contact you about acquiring tissue or related resources. Investigators looking for resources from a particular model enter search terms describing the model of interest and then use the provided link to send emails to the contacts (names blinded) listed in the search results to initiate dialog about tissue or resources available for sharing. The database is housed on a secure server and admission to the network is moderated by the NIA Project Officer and limited to investigators at academic, government and non-profit research institutions. The goal is to provide a secure environment for sharing information about models used in aging research, promoting the sharing of resources, facilitating new research on aging in model systems, and increasing the return on the investment in research models.

Proper citation: Database for Sharing Aging Research Models (RRID:SCR_008691) Copy   

•   Source: SciCrunch Registry

http://mayoresearch.mayo.edu/mayo/research/biobank/index.cfm

A collection of blood samples and health information donated by volunteers, not focusing on any specific disease. Unlike many biobanks already in existence at Mayo Clinic and elsewhere, the Mayo Clinic Biobank is NOT focused on any particular disease. Rather, this biobank will collect samples and health information on patients and volunteers regardless of their health history. The only requirement is that they be 18 years of age or older, have a Mayo Clinic number, and be able to give informed consent. Once a participant becomes a part of the Biobank, they will be a part of ongoing health research conducted at Mayo Clinic indefinitely. The Biobank was established at Mayo Clinic, Rochester, and recruitment began in April of 2009. The goal of this project is to enroll 20,000 Mayo Clinic patients over the course of a three-year period in an effort to support a wide array of health-related research studies throughout the Institution.

Proper citation: Mayo Clinic Biobank (RRID:SCR_010723) Copy   

•   Source: SciCrunch Registry

http://www.lifelines.net/

Overall aim of the LifeLines Study is to unravel the interaction between genetic and environmental factors in the development of multifactorial diseases, their concurrent development in individuals and their complications as a complex trait. The LifeLines database contains questionnaire data, physical measurements and biological samples from different health examinations. Collaboration is encouraged as it helps to maximize the scientific value of the wealth of epidemiologic data made possible by the participation of more than 165,000 individuals in the LifeLines Cohort Study. Primary objectives of the LifeLines Cohort Study are: a. Which are the disease overriding risk factors which predict the development of a multifactorial disease during lifetime? b. How are these universal risk factors modified, or what determines the effect of a universal risk factor in an individual? Specific research questions will focus on risk factors and modifiers (genetic, environmental and combined or complex factors) for single and multiple diseases. In addition to co-morbidity, LifeLines focuses on co-determinants. The primary endpoints include measures of aging, metabolic and endocrine diseases, cardiovascular and renal diseases, pulmonary and musculoskeletal diseases, and psychopathology. Secondary aims include the assessment of the prevalence and incidence of multifactorial diseases, their risk factors and their treatment in individuals as well as in families. The burden of disease for the society will be quantified in terms of care needed, and total costs of care. Until November 3, 2011, almost 68,000 subjects have been included in the study. The 60,000th participant was screened in the beginning of September 2011. Recruitment rate at present is between 700 and 800 subjects per week. The laboratory measurements which are performed has changed. As of October 2011, LifeLines will continue to measure: hematologic parameters, including hemoglobin, white blood cells, platelets, WBC differentiation, blood glucose, cholesterol, HDL-cholesterol, triglycerides, serum creatinin and sodium/potassium. Liver enzymes, thyroid hormones, calcium, phosphate, albumin, uric acid and microalbuminuria will not be measured routinely. The samples that are available for almost all participants, are: # serum (taken either with or without gel separator) # EDTA plasma # citrate plasma # DNA # early morning urine sample # urine samples of 24-hour urine collection Any researcher who is member of an internationally recognized academic institution and who is interested in utilizing the research possibilities, data and materials of LifeLines may apply for access. The applicant who is acting as Principal Investigator must be connected to a department or institution with the competence to carry out the research project to term. A contract will give the right to use the data for a pre-determined period of time. This contract also comprises the costs for the LifeLines Biobank which the investigator needs to reimburse. To apply for access, refer to the electronic application process.

Proper citation: Lifelines Biobank (RRID:SCR_010730) Copy   

•   Source: SciCrunch Registry

http://www.flinders.edu.au/sabs/fcas/alsa/alsa_home.cfm

The general purpose of ALSA is to examine how social, biomedical, psychological, economic, and environmental factors are associated with age-related changes in the health and wellbeing of persons aged 70 years and older. 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, with emphasis given to the effects of social and economic factors on morbidity, disability, acute and long-term care service use, and mortality. The study was designed to have common instrumentation with US studies. ALSA collected data from a random, stratified sample of all persons (both community and institution-dwelling) aged 70 years and older living in the metropolitan area of Adelaide, South Australia, using the State Electoral Database as the sampling frame. Spouses aged 65 and older and other household members aged 70 years and older also were invited to participate. The initial baseline data collection for ALSA began in September 1992 and was completed in March 1993. In the first wave, personal interviews were carried out for 2,087 participants, including 566 couples (that is, persons 70 years of age and over and their spouse, if 65 and over). Clinical assessments were obtained for 1,620 of the participants. Respondents were recontacted by telephone a year after initial interview (wave 2). The third wave of the study began in September 1994 and involved a complete reassessment, with a total of 1,679 interviews and 1,423 clinical assessments. To date, eleven waves of data have been collected, with the latest collection in May 2010, from 168 participants. Six of these waves were conducted via face-to-face interviews and clinical assessments, and five were telephone interviews. Future waves are planned, however are dependent on grant funding. Ancillary data collection has been ongoing since the initiation of the study, e.g., from secondary providers. Lists of ALSA participants are compared biannually with the agencies'' lists to determine the prevalence and incidence of receipt of services from these organizations. Another source of information has been the collection of data from the participants'' general practitioners about the respondent''s health status, history of services received, medication use, referrals to specialists, and current services provided. Baseline Sample Size: 2087 Dates of Study: 1992����������2010 (potentially ongoing) Study Features: * Longitudinal * International * Anthropometric Measures * Biospecimens Waves 1-5 (ICPSR), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06707 Wave 6 (ICPSR), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03679

Proper citation: ALSA - The Australian Longitudinal Study of Ageing (RRID:SCR_013146) Copy   

•   Source: SciCrunch Registry

http://www.ohsu.edu/xd/education/schools/school-of-medicine/departments/clinical-departments/pathology/research/oregon-brain-bank.cfm

Brain bank that harvests, banks and disperses postmortem tissue for use in brain and medical research. It also provides neuropathologic diagnoses of organic dementia in a cohort of NIH sponsored research subjects. The bank includes tissue primarily from patients with Alzheimer's but also includes Huntington's, Parkinson's, and other disorders.

Proper citation: Oregon Brain Bank (RRID:SCR_013085) Copy   

•   Source: SciCrunch Registry

http://ohsu.eagle-i.net/i/0000012b-00ce-7b4f-79a3-373680000000

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on December 6,2022. The Neuropathology Core of the Layton Center for Aging and Alzheimer?s Disease Center is dedicated to studying, through autopsy, the brains of individuals who have been followed longitudinally in the Oregon Alzheimer?s Disease Center Clinical Core. Requests for tissue from the Oregon Brain Bank should be directed to Dr. Randall Woltjer. Dr. Woltjer will be glad to communicate with investigators regarding their tissue needs and to assist them in identifying suitable materials for their studies. Material Transfer Agreements between the requesting and sending institutions are needed before shipment.

Proper citation: OHSU Neuropathology Core (RRID:SCR_009988) Copy   

•   Source: SciCrunch Registry

http://eagle-i.itmat.upenn.edu/i/0000013f-8bde-1d59-a468-831a80000000

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 22,2024.Core facility that provides the following services: Recombinant plasmid DNA engineering, Recombinant protein production via Baculovirus expression systems (BVES), Recombinant protein production in prokaryotic systems, Recombinant protein purification, Retrovirus production service. The Protein Expression Facility is a shared resource laboratory that provides Wistar Cancer Center Members and non-Wistar scientists technical assistance with viral vector preparation and the expression and purification of recombinant proteins. The Facility has greater than 20 years of experience in recombinant protein expression with special expertise in the use of baculovirus expression systems (BVES). The Facility offers the following services: 1. Recombinant plasmid DNA engineering 2. Viral vector production (i.e. baculovirus and retrovirus) 3. Analytical and preparative scale expression of nascent or epitope-tagged recombinant proteins 4. Protein purification These goals are accomplished by a centralized laboratory with dedicated, experienced staff, which enables high-throughput, economy of scale, virus preparation and protein expression services, including quality assurance and control procedures to ensure efficient, consistent production and purification of recombinant proteins and viral vectors. Many recombinant proteins produced by the facility have been used for crystallization efforts, analytical biochemistry studies designed to investigate enzymatic properties, structure-function relationships between protein-protein, protein-nucleic-acid, and protein-small molecule interactions, custom antibody production, experimental cancer vaccines, and development of miniaturized assays for small molecule screening. The facility is supported in part by an NCI Cancer Center Support Grant and a grant from the NIH National Institute of Aging (PO1 AG031862).

Proper citation: Wistar Protein Expression Facility (RRID:SCR_010210) Copy   

•   Source: SciCrunch Registry

http://fcon_1000.projects.nitrc.org/indi/pro/nyu.html

Datasets including a collection of scans from 49 psychiatrically evaluated neurotypical adults, ranging in age from 6 to 55 years old, with age, gender and intelligence quotient (IQ) information provided. Future releases will include more comprehensive phenotypic information, and child and adolescent datasets, as well as individuals from clinical populations. The following data are released for every participant: * At least one 6-minute resting state fMRI scan (R-fMRI) * * One high-resolution T1-weighted mprage, defaced to protect patient confidentiality * Two 64-direction diffusion tensor imaging scans * Demographic information (age, gender) and IQ-measures (Verbal, Performance, and Composite; Weschler Abbreviated Scale of Intelligence - WASI) * Most participants have 2 R-fMRI scans, collected less than 1 hour apart in the same scanning session. Rest_1 is always collected first.

Proper citation: NYU Institute for Pediatric Neuroscience Sample (RRID:SCR_010458) Copy   

•   Source: SciCrunch Registry

http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/6219

A public-use microdata sample focusing on the older population created from the 1990 census. This sample consists of 3 percent of households with at least one member aged 60 or older. Although, the highest age presented is age 90, this allows analysis of data on the very old for most states with a reasonable degree of reliability. Since data for all members in households containing a person 60 years and over will be on the file, users will be able to analyze patterns such as living arrangements and sources of household income from which older members may benefit. Additionally, users will be able to augment the PUMS-O sample with a PUMS file. The Census Bureau has issued two regular PUMS files for the entire population. One PUMS file will contain 1 percent of all households; the other PUMS file will contain 5 percent of all households. Both files have most sample data items, and differ only in geographical composition. The 1-percent file contains geographic areas that reflect metropolitan vs. non-metropolitan areas. The 5-percent file shows counties or groups of counties as well as large sub-county areas such as places of 100,000 or more. The geography on the 5-percent PUMS file matches that of the PUMS-O file. Since data for different households are present on the two files, users can merge the PUMS-O file with the 5-percent PUMS to construct an 8-percent sample. However, weighted averages must be constructed for any estimates created because each sample yields state-level estimates. Thus, it is possible to analyze substate areas even for the very old. In states where the geographic areas identified on the PUMS-O and the 5-percent PUMS are coterminous with State Planning and Service Areas (used by service providers in relation to the Older Americans Act), the Planning and Service Areas are identified. * Dates of Study: 1990-2000 Links: 1980: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/08101 2000: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/04204

Proper citation: Public Use Microdata Sample for the Older Population (RRID:SCR_010487) Copy   

•   Source: SciCrunch Registry

http://www.stsiweb.org/SWGR/

Whole genome sequencing data for 454 unrelated Scripps Wellderly Study participants with European ancestry from a project that is studying the genetic architecture of exceptional healthspan from a cohort comprised of more than 1300 healthy individuals over the age of 80 years. SWGR_v1.0 includes chromosome-specific VCF4.1 bgzipped and tabix indexed files. Annotations for each variant can be found at Scripps Genome ADVISER (SG-ADVISER, http://genomics.scripps.edu/) Additional data releases are expected.

Proper citation: Scripps Wellderly Genome Reference (RRID:SCR_010250) Copy   

•   Source: SciCrunch Registry

http://fcon_1000.projects.nitrc.org/indi/retro/cobre.html

Data set of raw anatomical and functional MR data from 72 patients with Schizophrenia and 75 healthy controls (ages ranging from 18 to 65 in each group). All subjects were screened and excluded if they had: history of neurological disorder, history of mental retardation, history of severe head trauma with more than 5 minutes loss of consciousness, history of substance abuse or dependence within the last 12 months. Diagnostic information was collected using the Structured Clinical Interview used for DSM Disorders (SCID). A multi-echo MPRAGE (MEMPR) sequence was used with the following parameters: TR/TE/TI = 2530/(1.64, 3.5, 5.36, 7.22, 9.08)/900 ms, flip angle = 7��, FOV = 256x256 mm, Slab thickness = 176 mm, Matrix = 256x256x176, Voxel size =1x1x1 mm, Number of echos = 5, Pixel bandwidth =650 Hz, Total scan time = 6 min. With 5 echoes, the TR, TI and time to encode partitions for the MEMPR are similar to that of a conventional MPRAGE, resulting in similar GM/WM/CSF contrast. Rest data was collected with single-shot full k-space echo-planar imaging (EPI) with ramp sampling correction using the intercomissural line (AC-PC) as a reference (TR: 2 s, TE: 29 ms, matrix size: 64x64, 32 slices, voxel size: 3x3x4 mm3). Slice Acquisition Order: Rest scan - collected in the Axial plane - series ascending - multi slice mode - interleaved MPRAGE - collected in the Sag plane - series interleaved - multi slice mode - single shot The following data are released for every participant: * Resting fMRI * Anatomical MRI * Phenotypic data for every participant including: gender, age, handedness and diagnostic information.

Proper citation: COBRE (RRID:SCR_010482) Copy   

•   Source: SciCrunch Registry

http://wwwcf.nlm.nih.gov/hsrr_search/view_hsrr_record_table.cfm?TITLE_ID=479&PROGRAM_CAME=toc_with_source2.cfm

Data set of annual questionnaires of a long-term prospective study of 1,337 former Johns Hopkins University medical students to identify precursors of premature cardiovascular disease and hypertension. The purpose of the study has broadened, however, as the cohort has aged. The study has been funded for 15 years. Participants were an average of 22 years of age at entry and have been followed to an average age of 69 years. Data are collected through annual questionnaires, supplemented with phone calls and substudies. Self-reports of diseases and risk factors have been validated. Every year from 1988 to 2003, anywhere from 2 to 6 questionnaires have been administered, in categories such as the following, which repeat periodically: Morbidity, Supplemental Illness, Health Behavior, Family and Career, Retirement, Job Satisfaction, Blood Pressure and Weight, Medications, Work Environment, Social Network, Diabetes, Osteoarthritis, Health Locus of Control, Preventive Health Services, General Health, Functional Limitations, Memory Functioning, Smoking, Religious Beliefs and Practices, Links with Administrative Data, National Death Index searches for all nonrespondents * Dates of Study: 1946-2003 * Study Features: Longitudinal * Sample Size: 1,337 (1946)

Proper citation: Precursors of Premature Disease and Death (RRID:SCR_010483) Copy   

•   Source: SciCrunch Registry

http://lehd.did.census.gov/led/

A dataset that combines federal and state administrative data on employers and employees with core Census Bureau censuses and surveys, while protecting the confidentiality of people and firms that provide the data. This data infrastructure facilitates longitudinal research applications in both the household / individual and firm / establishment dimensions. The specific research is targeted at filling an important gap in the available data on older workers by providing information on the demand side of the labor market. These datasets comprise Title 13 protected data from the Current Population Surveys, Surveys of Income and Program Participation, Surveys of Program Dynamics, American Community Surveys, the Business Register, and Economic Censuses and Surveys. With few exceptions, states have partnered with the Census Bureau to share data. As of December 2008, Connecticut, Massachusetts, New Hampshire and Puerto Rico have not signed a partnership agreement, while a partnership with the Virgin Islands is pending. LEHD's second method of developing employer-employee data relations through the use of federal tax data has been completed. LEHD has produced summary tables on accessions, separation, job creation, destruction and earnings by age and sex of worker by industry and geographic area. The data files consist of longitudinal datasets on all firms in each participating state (quarterly data, 1991- 2003), with information on age, sex, turnover, and skill level of the workforce as well as standard information on employment, payroll, sales and location. These data can be accessed for all available states from the Project Website. Data Availability: Research conducted on the LEHD data and other products developed under this proposal at the Census Bureau takes place under a set of rules and limitations that are considerably more constraining than those prevailing in typical research environments. If state data are requested, the successful peer-reviewed proposals must also be approved by the participating state. If federal tax data are requested, the successful peer-reviewed proposals must also be approved by the Internal Revenue Service. Researchers using the LEHD data will be required to obtain Special Sworn Status from the Census Bureau and be subject to the same legal penalties as regular Census Bureau employees for disclosure of confidential information. Basic instructions on how to download the data files and restrictions can be found on the Project Website. * Dates of Study: 1991-present * Study Features: Longitudinal * Sample Size: 48 States or U.S. territories

Proper citation: Longitudinal Employer-Household Dynamics (RRID:SCR_000817) Copy   

•   Source: SciCrunch Registry

http://crag.uab.edu/crag/active.asp

Data set from a randomized controlled trial of cognitive interventions designed to maintain functional independence in elders by improving basic mental abilities. Several features made ACTIVE unique in the field of cognitive interventions: (a) use of a multi-site, randomized, controlled, single-blind design; (b) intervention on a large, diverse sample; (c) use of common multi-site intervention protocols, (d) primary outcomes focused on long-term, cognitively demanding functioning as measured by performance-based tests of daily activities; and (e) an intent-to-treat analytical approach. The clinical trial ended with the second annual post-test in January 2002. A third annual post-test was completed in December 2003. The area population and recruitment strategies at the six field sites provided a study sample varying in racial, ethnic, gender, socioeconomic, and cognitive characteristics. At baseline, data were collected by telephone for eligibility screening, followed by three in-person assessment sessions, including two individual sessions and one group session, and a self-administered questionnaire. At post-tests, data were collected in-person in one individual session and one group session as well as by self-administered questionnaire. There were four major categories of measures: proximal outcomes (measures of cognitive abilities that were direct targets of training), primary outcomes (measures of everyday functioning, both self-report and performance), secondary outcomes (measures of health, mobility, quality of life, and service utilization), and covariates (chronic disease, physical characteristics, depressive symptoms, cognitive impairment, psychosocial variables, and demographics). Phase I of ACTIVE was a randomized controlled, single-blind trial utilizing a four-group design, including three treatment arms and a no-contact control group. Each treatment arm consisted of a 10-session intervention for one of three cognitive abilities memory, reasoning, and speed of processing. Testers were blind to participant treatment assignment. The design allowed for testing of both social contact effects (via the contact control group) and retest effects (via the no-contact control group) on outcomes. Booster training was provided in each treatment arm to a 60% random subsample prior to first annual post-test. Phase II of ACTIVE started in July, 2003 as a follow-up study focused on measuring the long-term impact of training effects on cognitive function and cognitively demanding everyday activities. The follow-up consisted of one assessment to include the Phase I post-test battery. This was completed in late 2004.

Proper citation: Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE) (RRID:SCR_000813) Copy   

•   Source: SciCrunch Registry

http://www.mortality.org/

A database providing detailed mortality and population data to those interested in the history of human longevity. For each country, the database includes calculated death rates and life tables by age, time, and sex, along with all of the raw data (vital statistics, census counts, population estimates) used in computing these quantities. Data are presented in a variety of formats with regard to age groups and time periods. 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. New data series is continually added to this collection. However, the database is limited by design to populations where death registration and census data are virtually complete, since this type of information is required for the uniform method used to reconstruct historical data series. As a result, the countries and areas included are relatively wealthy and for the most part highly industrialized. The database replaces an earlier NIA-funded project, known as the Berkeley Mortality Database. * Dates of Study: 1751-present * Study Features: Longitudinal, International * Sample Size: 37 countries or areas

Proper citation: Human Mortality Database (RRID:SCR_002370) Copy   

•   Source: SciCrunch Registry

http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03253

Data set from six research sites that examined the feasibility and outcomes of the most promising home and community-based intervention approaches for enhancing family caregiving for Alzheimers Disease (AD) and related disorders (ADRD). A unique feature is the examination of AD burdens and interventions in three ethnic groups (Caucasians, Hispanics, and African Americans). Caregiver/care recipient dyads are entered into the study using standardized eligibility criteria. The dyads are randomized at each intervention site using site-specific procedures. Standardized assessment batteries are administered at baseline, 6, 12, and 18 months. The five general types of REACH interventions are: Individual Information and Support strategies that increase caregivers' understanding of dementia and their particular caregiving situation; Group Support and Family Systems efforts that provide caregivers with multiple forms of social support; Psychoeducational and Skill-Based Training approaches that teach caregivers coping and behavioral management strategies; Home-Based Environmental interventions that modify the home environment's effect on the care recipient and support the caregiver; and Enhanced Technology Systems such as home-centered computer/telephone networks that are designed to reduce caregiver distress and isolation. REACH II was funded in 2001 to test a single multi-component intervention among family caregivers of persons with ADRD, building upon the findings of REACH. Recruitment for REACH II was completed in January 2004 with 642 participants entering the study across 5 participating sites.

Proper citation: Resources for Enhancing Alzheimers Caregiver Health (RRID:SCR_003638) Copy   

•   Source: SciCrunch Registry

http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/04432#summary

Data set from a long-term population-based prospective study of non-institutionalized residents (aged 21 or older, or aged 16-21 and older if married) in Alameda County, California investigating social and behavioral risk factors for morbidity, mortality, functioning and health. Questions were asked on marital and life satisfaction, parenting, physical activities, employment, health status, and childhood experiences. Demographic information on age, race, height, weight, education, income, and religion was also collected. Included with this dataset is a separate file (part 2) containing mortality data. With the aging of this cohort, data are becoming increasingly valuable for examining the life-long cumulative effects of social and behavioral factors on a well-characterized population. The first wave collected information for 6,928 respondents (including approximately 500 women aged 65 years and older) on chronic health conditions, health behaviors, social involvements, and psychological characteristics. The 1974 questionnaire was sent to 6,246 living subjects who had responded in 1965, and were able to be located. The third wave provides a follow-up of 2,729 original 1965 and 1974 respondents and examines health behaviors such as alcohol consumption and smoking habits, along with social activities. Also included is information on health conditions such as diabetes, osteoporosis, hormone replacement, and mental illness. Another central topic investigated is activities of daily living (including self-care such as dressing, eating, and shopping), along with use of free time and level of involvement in social, recreational, religious, and environmental groups. The fourth wave is a follow-up to the 1994 panel and examines changes in functional abilities such as self-care activities, employment, involvement in community activities, visiting friends/family, and use of free time since 1994. * Dates of Study: 1965-1999 * Sample Size: 1965: 6,928; 1974: 4,864; 1994: 2,729; 1995: 2,569, 1999: 2,123 * Study Features: Longitudinal Links: * 1965 ICPSR, http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06688 * 1974 ICPSR, http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06838 * 1994 and 1995 ICPSR, http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03083 * 1999 ICPSR, http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/04432#summary

Proper citation: Alameda County Health and Ways of Living Study (RRID:SCR_008889) Copy   

•   Source: SciCrunch Registry

http://www.nber.org/papers/h0038

A dataset to advance the study of life-cycle interactions of biomedical and socioeconomic factors in the aging process. The EI project has assembled a variety of large datasets covering the life histories of approximately 39,616 white male volunteers (drawn from a random sample of 331 companies) who served in the Union Army (UA), and of about 6,000 African-American veterans from 51 randomly selected United States Colored Troops companies (USCT). Their military records were linked to pension and medical records that detailed the soldiers������?? health status and socioeconomic and family characteristics. Each soldier was searched for in the US decennial census for the years in which they were most likely to be found alive (1850, 1860, 1880, 1900, 1910). In addition, a sample consisting of 70,000 men examined for service in the Union Army between September 1864 and April 1865 has been assembled and linked only to census records. These records will be useful for life-cycle comparisons of those accepted and rejected for service. Military Data: The military service and wartime medical histories of the UA and USCT men were collected from the Union Army and United States Colored Troops military service records, carded medical records, and other wartime documents. Pension Data: Wherever possible, the UA and USCT samples have been linked to pension records, including surgeon''''s certificates. About 70% of men in the Union Army sample have a pension. These records provide the bulk of the socioeconomic and demographic information on these men from the late 1800s through the early 1900s, including family structure and employment information. In addition, the surgeon''''s certificates provide rich medical histories, with an average of 5 examinations per linked recruit for the UA, and about 2.5 exams per USCT recruit. Census Data: Both early and late-age familial and socioeconomic information is collected from the manuscript schedules of the federal censuses of 1850, 1860, 1870 (incomplete), 1880, 1900, and 1910. Data Availability: All of the datasets (Military Union Army; linked Census; Surgeon''''s Certificates; Examination Records, and supporting ecological and environmental variables) are publicly available from ICPSR. In addition, copies on CD-ROM may be obtained from the CPE, which also maintains an interactive Internet Data Archive and Documentation Library, which can be accessed on the Project Website. * Dates of Study: 1850-1910 * Study Features: Longitudinal, Minority Oversamples * Sample Size: ** Union Army: 35,747 ** Colored Troops: 6,187 ** Examination Sample: 70,800 ICPSR Link: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06836

Proper citation: Early Indicators of Later Work Levels Disease and Death (EI) - Union Army Samples Public Health and Ecological Datasets (RRID:SCR_008921) Copy   

•   Source: SciCrunch Registry