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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.

Drawing on the principles of Whole Person Dementia Assessment (Mast, 2011) and Appelbaum and Grisso's (1988) decision-making model, this project developed a tool, the Lichtenberg Financial Decision Rating Scale (LFDRS). The conceptual model for the LFDRS questionnaire integrates the measurement of contextual variables with financial capacity assessment. The purpose of the study was to establish reliability and validity of the LFDRS and to collect data on normative financial decision-making by older adults.

The researchers posited that as financial exploitation of older adults increases, investigation and prosecution of these cases remains difficult for criminal justice professionals who must balance protection of older adults with their right to autonomy; and that both under and over-protection of older adults can lead to damaging consequences. The project goal was to develop a set of new financial decision-making screening and comprehensive measures for criminal justice professionals and non-criminal justice professionals to aid in detecting and prosecuting financial exploitation of older adults. The LFDRS (described above) is meant to be used by mental health professionals, specially trained in assessment of older adults. In addition, the researchers developed a 10-item screening tool, the Lichtenberg Financial Decision Screening Scale or Short Scale (LFDSS), that was tested by multiple professionals working in diverse settings (e.g., APS workers, elder law attorneys, law enforcement personnel).

Family members are another group that are often aware of an older adult's vulnerability to financial exploitation and therefore, the researchers developed the Lichtenberg Financial Decision Rating Scale -- Family and Friends version (LFDRS - Family and Friends also known as the LFDRS Informant) to allow concerned professionals to interview confidantes of older adults to help measure financial capacity of a loved one. This tool may be particularly useful for Adult Protective Services to interview multiple people regarding their concerns about an older adult.

The collection contains 3 SPSS data files:

• LFDRS-Data-for-ICPSR.sav (200 cases, 109 variables)
• LFDRS_Informant-Data-for-ICPSR.sav (150 cases, 45 variables)
• LFDSS_Screener-Data-for-ICPSR.sav (213 cases, 24 variables)

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 was a two phase project designed to investigate the decision-making process of the coroner/medical examiner (CME) offices who are charged with investigating suspicious elder deaths and to pilot an intervention that augmented the decision-making process in three CME offices. In phase one, researchers collected case data from CME offices, public data on elder deaths, and interviews with CME investigators. Researchers then developed a brief screening tool, Elder Suspicious Death Field Screen (ESDFS), to be used by CME employees fielding reports of elder deaths. In phase two, the ESDFS was implemented in three counties for a six-month data collection period. An expert panel reviewed a subsample of cases to assess whether CME investigators made appropriate decisions to investigate or not.

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.

These data were collected as part of a larger effort to evaluate the implementation and effectiveness of a new computerized decision support system (Elder Abuse Decision Support System, EADSS) in elder abuse investigation and intervention programs in Illinois. Information on individuals with substantiated allegations of abuse includes basic demographics, physical, mental, and financial condition, and available resources. Variables describing the allegation cover the nature and severity of the abuse. Where possible, the alleged abuser(s) is(are) also evaluated physically, mentally, and financially, in addition to having basic demographics noted.

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.

The Longitudinal Study of Older People in Anhui Province, China, 2001-2003 examined the physical and psychological well-being of older adults (aged 60 and above) living in rural Anhui Province, China. The original purpose of the study was to study the impact of rural-to-urban migration on the physical and psychological well-being of older adults left behind in rural villages by their adult children.

This collection contains two parts; Part 1: 2001 Survey and Part 2: 2003 Follow-up Survey. Similar Questions were asked in the two surveys to assess intergenerational transfers and relations of the respondents, including social support, caregiving, emotional cohesion, remittances, grandchild care, and filial piety. Respondents were also asked about their health status (physical, emotional, and cognitive). Demographic information includes age, sex, marriage status, and education.

Downloads of Add Health require submission of the following information, which is shared with the original producer of Add Health: supervisor name, supervisor email, and reason for download. A Data Guide for this study is available as a web page and for download.

The National Longitudinal Study of Adolescent to Adult Health (Add Health), 1994-2018 [Public Use] is a longitudinal study of a nationally representative sample of U.S. adolescents in grades 7 through 12 during the 1994-1995 school year. The Add Health cohort was followed into young adulthood with four in-home interviews, the most recent conducted in 2008 when the sample was aged 24-32. Add Health combines longitudinal survey data on respondents' social, economic, psychological, and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships.

Add Health Wave I data collection took place between September 1994 and December 1995, and included both an in-school questionnaire and in-home interview. The in-school questionnaire was administered to more than 90,000 students in grades 7 through 12, and gathered information on social and demographic characteristics of adolescent respondents, education and occupation of parents, household structure, expectations for the future, self-esteem, health status, risk behaviors, friendships, and school-year extracurricular activities. All students listed on a sample school's roster were eligible for selection into the core in-home interview sample. In-home interviews included topics such as health status, health-facility utilization, nutrition, peer networks, decision-making processes, family composition and dynamics, educational aspirations and expectations, employment experience, romantic and sexual partnerships, substance use, and criminal activities. A parent, preferably the resident mother, of each adolescent respondent interviewed in Wave I was also asked to complete an interviewer-assisted questionnaire covering topics such as inheritable health conditions, marriages and marriage-like relationships, neighborhood characteristics, involvement in volunteer, civic, and school activities, health-affecting behaviors, education and employment, household income and economic assistance, parent-adolescent communication and interaction, parent's familiarity with the adolescent's friends and friends' parents.

Add Health data collection recommenced for Wave II from April to August 1996, and included almost 15,000 follow-up in-home interviews with adolescents from Wave I. Interview questions were generally similar to Wave I, but also included questions about sun exposure and more detailed nutrition questions. Respondents were asked to report their height and weight during the course of the interview, and were also weighed and measured by the interviewer.

From August 2001 to April 2002, Wave III data were collected through in-home interviews with 15,170 Wave I respondents (now 18 to 26 years old), as well as interviews with their partners. Respondents were administered survey questions designed to obtain information about family, relationships, sexual experiences, childbearing, and educational histories, labor force involvement, civic participation, religion and spirituality, mental health, health insurance, illness, delinquency and violence, gambling, substance abuse, and involvement with the criminal justice system. High School Transcript Release Forms were also collected at Wave III, and these data comprise the Education Data component of the Add Health study.

Wave IV in-home interviews were conducted in 2008 and 2009 when the original Wave I respondents were 24 to 32 years old. Longitudinal survey data were collected on the social, economic, psychological, and health circumstances of respondents, as well as longitudinal geographic data. Survey questions were expanded on educational transitions, economic status and financial resources and strains, sleep patterns and sleep quality, eating habits and nutrition, illnesses and medications, physical activities, emotional content and quality of current or most recent romantic/cohabiting/marriage relationships, and maltreatment during childhood by caregivers. Dates and circumstances of key life events occurring in young adulthood were also recorded, including a complete marriage and cohabitation history, full pregnancy and fertility histories from both men and women, an educational history of dates of degrees and school attendance, contact with the criminal justice system, military service, and various employment events, including the date of first and current jobs, with respective information on occupation, industry, wages, hours, and benefits. Finally, physical measurements and biospecimens were also collected at Wave IV, and included anthropometric measures of weight, height and waist circumference, cardiovascular measures such as systolic blood pressure, diastolic blood pressure, and pulse, metabolic measures from dried blood spots assayed for lipids, glucose, and glycosylated hemoglobin (HbA1c), measures of inflammation and immune function, including High sensitivity C-reactive protein (hsCRP) and Epstein-Barr virus (EBV).

Wave V data collection took place from 2016 to 2018, when the original Wave I respondents were 33 to 43 years old. For the first time, a mixed mode survey design was used. In addition, several experiments were embedded in early phases of the data collection to test response to various treatments. A similar range of data was collected on social, environmental, economic, behavioral, and health circumstances of respondents, with the addition of retrospective child health and socio-economic status questions. Physical measurements and biospecimens were again collected at Wave V, and included most of the same measures as at Wave IV.

The overall goal of Wave VI was to better understand life course trajectories, determinants, and consequences of critical dimensions of aging, health, and health disparities among U.S. early midlife adults. Data collection took place from 2022 to 2025, with participants between the ages of 39 and 51, with an average age of 44. Beyond longitudinal survey measures, newly added questions included those on cumulative stress, discrimination, despair, work-life balance, memory, physical limitations, and caregiving. Continuing from previous waves, home exams collected physical measurements and biospecimens with most of the same measures as Wave V.

The National Social Life, Health and Aging Project (NSHAP) is a population-based study of health and social factors on a national scale, aiming to understand the well-being of older, community-dwelling Americans by examining the interactions among physical health, illness, medication use, cognitive function, emotional health, sensory function, health behaviors, and social connectedness. It is designed to provide health providers, policy makers, and individuals with useful information and insights into these factors, particularly on social and intimate relationships.

The study team collected data for Round 4 of this study from 2021 through 2023 and covered the following subjects: bereavement, caregiving, elder mistreatment, employment, functional health, health behaviors, mental and physical health, cognitive function, neighborhood information, sexual interest and activity, social activity, and familial and friend support.

The Survey of Health, Ageing and Retirement in Europe (SHARE) is a multidisciplinary and cross-national database of micro data on health, socio-economic status and social and family networks of individuals aged 50 or over which was designed after the role models of the United States Health and Retirement Study (HRS) and the English Longitudinal Study of Ageing (ELSA).

SHARE-Israel was added to the collection during 2005 and 2006 and required a complex adaptation of the SHARE survey instruments for implementation in Israel. In order to access the three major population groups that make up Israeli society, veteran Jewish-Israelis, Arab-Israelis and new immigrants from the former Soviet Union after 1989, it was necessary to translate the CAPI questionnaire and the drop off questionnaire into Hebrew, Arabic and Russian.

Data collected include health variables (e.g., self-reported health, physical functioning, cognitive functioning, health behavior, use of health care facilities), psychological variables (e.g., psychological health, well-being, life satisfaction), economic variables such as (current work activity, job characteristics, opportunities to work past retirement age, sources and composition of current income, wealth and consumption, housing, education), and social support variables (e.g., assistance within families, transfers of income and assets, social networks, volunteer activities).

Two physical performance measures were also employed. The first was grip strength, the respondent's maximum handgrip strength measured by means of a dynamometer. The second physical performance measure was walking speed, which was asked only of persons aged 75 and older. This physical measurement involved asking the respondent to walk a certain distance and measuring the time it took for the respondent to complete the task.

Unique to SHARE-Israel were questions in the drop-off questionnaire regarding trauma. Respondents were asked about difficult life events that they had experienced and the degree to which they were affected by them. The events were drawn from the following areas (1) having personally suffered injury in war, in a terrorist attack, a grave illness or accident, (2) having witnessed injury or death in war, in a terrorist attack, and/or in an accident or crime, (3) having been a victim of crime, abuse, sexual harassment and/or severe economic adversity, (4) having had a close person injured or lost due to war, a terrorist attack, accident or grave illness, (5) loss of spouse and/or offspring, and (6) having provided or received long term care due to functional disability. A separate inventory chronicled respondents' exposure to the Holocaust.

Also included in the drop-off questionnaire were questions regarding pension reform: which addressed respondents' awareness of the legislated delay in the age of eligibility for retirement pension in Israel, (for men, age 67 and for women, age 64). It also inquired about implications of the change in pension age, information regarding personal plans for employment or retirement in light of the change, and sources of income that would be used to bridge the period between retirement and receipt of pension, if early retirement was contemplated. Full details regarding SHARE can be located at the SHARE Web site.

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.