Search results

The Americans' Changing Lives (ACL) survey series is an ongoing, nationally representative, longitudinal study focusing especially on differences between Black and White Americans in middle and late life. These data constitute the first, second, third, fourth, fifth, and sixth waves in a panel survey covering a wide range of sociological, psychological, mental, and physical health items. Wave I of the study began in 1986 with a nation face-to-face survey of 3,617 adults ages 25 and up, with Black Americans and people aged 60 and over over-sampled at twice the rate of the others. Wave II constitutes face-to-face re-interviews in 1989 of those still alive. Survivors have been re-interviewed by telephone, and when necessary face-to-face, in 1994 (Wave III), 2001/02 (Wave IV), 2011 (Wave V), and 2019/21 (Wave VI).

Please note that for Wave VI, the majority of data collection occurred in 2019, with only a small subset (n=39) of participants surveyed in 2021.

ACL was designed and sought to investigate the following: (1) The ways in which a wide range of activities and social relationships that people engage in are broadly "productive," (2) how individuals adapt to acute life events and chronic stresses that threaten the maintenance of health, effective functioning, and productive activity, and (3) sociocultural variations in the nature, meaning, determinants, and consequences of productive activity and relationships. Among the topics covered are interpersonal relationships (spouse/partner, children, parents, friends), sources and levels of satisfaction, social interactions and leisure activities, traumatic life events (physical assault, serious illness, divorce, death of a loved one, financial or legal problems), perceptions of retirement, health behaviors (smoking, alcohol consumption, overweight, rest), and utilization of health care services (doctor visits, hospitalization, nursing home institutionalization, bed days). Also included are measures of physical health, psychological well-being, and indices referring to cognitive functioning.

Demographic information provided for individuals includes household composition, number of children and grandchildren, employment status, occupation and work history, income, family financial situation, religious beliefs and practices, ethnicity, race, education, sex, and region of residence.

The Hawaii Personality and Health Cohort consists of teacher ratings of their students' personalities. John M. (Jack) Digman orchestrated the collection of the child personality data between 1959 and 1967, during his tenure as a professor at the University of Hawaii. Childhood data was collected on 2418 children in classrooms on the islands of Oahu and Kauai. Six waves of data collection were completed, and eighty-eight teachers provided assessments of their students. Children ranged in age from 5 to 14, and were in grades 1,2,3,5 or 6.

The initial goal of this work was to generate ratings using a broad set of items to allow for research on the structure of personality in childhood. The data collection predated the acceptance of the Big Five model of personality. Items were selected to capture the entire range of observable personality, which at the time was thought to be characterized by 10 or more domains. Subsequent analysis by Dr. Digman, and later by Lewis R. (Lew) Goldberg, demonstrated a consistent five factor structure in the child personality data. In the early days of the emergence of the Big Five model of personality structure, the Hawaii child data provided initial evidence to support the acceptance of Big Five model of personality.

Subsequent follow-up of the sample in adulthood has included multiple questionnaires, and assessments of objective markers of health. These follow-up data allowed for the first ever assessment of the stability in the Big Five over a span of 40 years. At average age 50, participants were recruited for a half day clinic visit. Objective markers of health collected at this time have supported work testing childhood personality as a predictor of physical health, and also research testing lifespan pathways linking childhood personality to physical health in adulthood.

This initial release includes the full childhood cohort data. Also included are a set of Big Five scores that have been used in published research on the Hawaii Personality Cohort, and a number of different sets of personality scales derived from these data. Basic demographic information is also provided. Subsequent data releases will include questionnaire and clinic data collected in adulthood.

For additional information about the correspondence between these datasets, please see the accompanying Excel file, which provides a table of overlapping variables across the datasets. Further information about this crosswalk file can be found in the "Item Overlap" section of the accompanying Study Description document.

Demographic variables included in this study include gender, cultural identity, and year of birth.

The Long Beach Longitudinal Study (LBLS) was created in 1978 to obtain normative data for the Schaie-Thurston Adult Mental Abilities Test (STAMAT). From 1994 to 2003 it was extended under the guiding principle that cognitive aging is a largely contextual phenomenon. Individual differences in abilities and change in those abilities over adulthood are associated not only with cognitive mechanisms, but with sociodemographic phenomena such as birth cohort, or gender, and within-individual characteristics, including health, affect, self-efficacy, personality, and other variables that impact health. This principle is reflected in the testing measures added to the original panel. Besides the original ability measures used by Schaie, the Life Complexity Inventory, has been included in all testing. Because these measures were included in the later generations of testing, independent and direct comparisons can be made with Seattle Longitudinal Study (ICPSR 00158) to replicate findings and to generalize longitudinal samples.

Panel 1

The initial panel was sampled in 1978 and consisted of 65 adults aged 28-33 and 518 adults aged 55-84. This sample was tested using the STAMAT, as well as a 20-item list of common English nouns for testing free recall, and a brief essay to test text recall. In 1981, 264 participants from this sample were retested, 106 were again retested from 1994-1995, and 42 in 1997. Finally, 15 participants of the original sample were tested from 2000-2002 using additional tests adopted for the creation of a second panel, described below, as well as a test for measuring executive function.

Panel 2

In 1994, a second panel of 630 participants aged 30-97, a third of which were over 80, was added to the study. The testing for this sample included multiple indices of list recall, text recall, working memory, perceptual speed, and vocabulary for structural equation modeling. Assessment of language, autobiographical memory, personality, depression, health, health behaviors and other measures were also incorporated into the study. In 1997, 352 members of this second panel were retested. From 2000-2002, 179 participants of this second panel completed the 1994-1995 measures, as well as several tests extending the battery to indices of executive function. In 2003, 133 participants were retested.

Panel 3

A third sample was recruited during the 2000-2002 time frame consisting of 911 participants aged 30-98, again approximately a third of which were over the age of 80. In 2003, 513 members of this third panel were retested.

Datasets

The data are provided in 6 datasets.

1. Panel 1 and 2 1978 - 2003 Longitudinal File

   Dataset 1 is a longitudinal file of data from Panel 1 for tests performed in 1978, 1981, 1994, 1997, and 2000-2002, and data from Panel 2 for tests performed in 1994, 1997, 2000-2002 and 2003.

2. Panels 1 and 2 1994 STAMAT File

   Dataset 2 contains the STAMAT test variables for Panels 1 and 2.

3. Panel 1 and 2 1994-2000 Master Data Longitudinal File

   Dataset 3 is a second longitudinal file containing the complete catalog of variables from Panels 1 and 2 for test performed in 1994, 1997 and 2000.

4. Panel 2 Wave 1 1994 Cross File

   Dataset 4 contains variables for the first wave of Panel 2 which took place in 1994.

5. Panel 2 Wave 2 1997 Cross File

   Dataset 5 contains variables for the second wave of Panel 2 which took place in 1997.

6. Panel 3 Wave 1 2000 Master File

   Dataset 6 contains variables from the first wave of Panel 3 which took place in 2000.

In 2008, with funding from the National Institute on Aging (NIA), baseline survey data for the Survey of Midlife in Japan (MIDJA), April-September 2008 were collected from a probability sample of Japanese adults (N=1,027) aged 30 to 79 from the Tokyo metropolitan area (ICPSR 30822). In 2009-2010 biomarker data was obtained from a subset of these cases (ICPSR 34969).

The survey and biomarker measures obtained parallel those in a national longitudinal sample of Americans known as Midlife in the United States or MIDUS (ICPSR 2760: MIDUS 1 and ICPSR 4652: MIDUS 2). The central objective was to compare the Japanese sample (MIDJA) with the United States sample (MIDUS) to test hypotheses about the role of psychosocial factors in the health (broadly defined) of mid- and later-life adults in Japan and the United States.

In 2012, with additional support from NIA, a longitudinal follow-up of the MIDJA sample was completed. The data collection for this second wave (N=657) largely repeated the baseline assessments. The goal of the follow-up wave was to conduct comparisons of longitudinal data available from the Japanese sample (MIDJA) and the United States sample (MIDUS) to test the hypothesis about the role of psychosocial factors in predicting health changes (including biomarkers) in both cultural contexts. Cultural influences on age differences in health and well-being were also of interest.

Demographic and background information included gender, age, education, marital status, household composition, and income.

The Vietnam Era Twin Study of Aging (VETSA) projects began in 2002 with the goal of understanding risk and protective factors, including genetics, for cognitive and brain aging starting in midlife. This NIH funded longitudinal study has completed three waves of data collection (2002-2008; 2008-2014, 2015-2020) following the same group of non-patient, community dwelling male veteran twins from when they were average age 56 to average age 68. A fourth wave of data collection began in October 2021. Although the men are American veterans, this is not a VA sample. This is a nation-wide sample with participants flown into sister data collection sites at either University of California San Diego or Boston University.

The VETSA study encompasses multiple linked grants and data collections with two studies funded continuously since 2002--The VETSA Longitudinal Twin Study of Cognition and Aging and The VETSA Longitudinal MRI Twin Study of Aging. Because of the broad interests of the investigators, while study data focus most heavily on in-person cognitive testing, a wide array of psychosocial, demographic, medical history, physical functioning, and personality measures were also collected. While some measures were only collected at baseline, the majority are repeated at every data collection.

At each wave of data collection, participants completed a lengthy psychosocial questionnaire at home then came to the testing site for a full day (~8 hrs) of in-person testing. Participants were housed for either 2 nights if only part of VETSA aging or 3 nights if they qualified for the MRI data collection.