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In 1995-1996, the MacArthur Midlife Research Network carried out a national survey of over 7,000 Americans aged 25 to 74 (ICPSR 2760). The purpose of the study was to investigate the role of behavioral, psychological, and social factors in understanding age-related differences in physical and mental health.

With support from the National Institute on Aging, an initial follow-up of the original Midlife Development in the United States (MIDUS) samples was conducted in 2004 (MIDUS 2). The daily stress and cognitive functioning projects were repeated at MIDUS 2; in addition the protocol was expanded to include biomarkers and neuroscience. In 2005, a baseline sample of 592 African Americans from Milwaukee was added to MIDUS to examine health issues in minority populations.

In 2013, a third wave (MIDUS 3) of survey data was collected on longitudinal participants. Data collection for this follow-up wave largely repeated baseline assessments (e.g., phone interview and extensive self-administered questionnaire), with additional questions in selected areas (e.g., economic recession experiences, optimism and coping, stressful life events, and caregiving). A third wave of cognitive functioning data and a second wave of the Milwaukee sample were also collected. Data collection for the daily diary, biomarkers, and neuroscience is ongoing. This dataset includes all known MIDUS decedents (N=2,533) from the Core National and Milwaukee samples as of December 2023.

The Midlife in the United States (MIDUS) is a collaborative, interdisciplinary investigation of patterns, predictors, and consequences of midlife development in the areas of physical health, psychological well-being, and social responsibility. A description of the study and findings from it are available at http://www.midus.wisc.edu.

The first wave of the MIDUS study (MIDUS 1 or M1) collected survey data from a total of 7,108 participants. The baseline sample was comprised of individuals from four subsamples: (1) a national RDD (random digit dialing) sample (n=3,487); (2) oversamples from five metropolitan areas in the U.S. (n=757); (3) siblings of individuals from the RDD sample (n=950); and (4) a national RDD sample of twin pairs (n=1,914). All eligible participants were non-institutionalized, English-speaking adults in the coterminous United States, aged 25 to 74.

Data from the samples were collected primarily in 1995/96. The survey (Project 1) dataset contains responses from a 30-minute Phone interview and two 50-page Self-Administered Questionnaire (SAQ) instruments. Of the 7,108 respondents who completed the Phone interview, 6,325 also completed the SAQ.

This updated version of the study is comprised of three primary datasets:

Dataset 1, Main, Siblings, and Twin Data, contains responses from the main survey of 7,108 respondents. Respondents were asked to provide extensive information on their physical and mental health throughout their adult lives, and to assess the ways in which their lifestyles, including relationships and work-related demands, contributed to the conditions experienced. Those queried were asked to describe their histories of physical ailments, including heart-related conditions and cancer, as well as the treatment and/or lifestyle changes they went through as a result. A series of questions addressed alcohol, tobacco, and illegal drug use, and focused on history of use, regularity of use, attempts to quit, and how the use of those substances affected respondents' physical and mental well-being. Additional questions addressed respondents' sense of control over their health, their awareness of changes in their medical conditions, commitment to regular exercise and a healthy diet, experience with menopause, the decision-making process used to deal with health concerns, experiences with nontraditional remedies or therapies, and history of attending support groups. Respondents were asked to compare their overall well-being with that of their peers and to describe social, physical, and emotional characteristics typical of adults in their 20's, 40's, and 60's. Information on the work histories of respondents and their significant others was also elicited, with items covering the nature of their occupations, work-related physical and emotional demands, and how their personal health had correlated to their jobs. An additional series of questions focusing on childhood queried respondents regarding the presence/absence of their parents, religion, rules/punishments, love/affection, physical/verbal abuse, and the quality of their relationships with their parents and siblings. Respondents were also asked to consider their personal feelings of accomplishment, desire to learn, sense of control over their lives, interests, and hopes for the future.

The Datasets previously numbered 2 and 3 have been removed to avoid redundancies, and all datasets have been renumbered. Please refer to the readme file.

Dataset 2, Twin Screener Data, provides the first national sample of twin pairs ascertained randomly via the telephone.

Dataset 3, Coded Text Responses, describes how open-ended textual responses in the MIDUS 1 Computer-Assisted Telephone Interview (CATI) and Self-Administered Questionnaire (SAQ) were transformed into categorical numeric codes. These codes are included in a stand-alone dataset containing only those cases (N=3,950) that contained text data in their responses.

Online Analysis Only: Datasets 1, 2, and 3 were merged together by the SU_ID variable to form "Merged Data with Weights (Online Analysis Only)" (Dataset 4) for online analysis capabilities.

MIDUS also maintains a Colectica portal, which allows users to interact with variables across waves and create customized subsets. Registration is required.

In 2011-2014, the MIDUS Refresher study recruited a national probability sample of 3,577 adults, aged 25 to 74, designed to replenish the original MIDUS 1 baseline cohort and paralleling the five decadal age groups of the MIDUS 1 baseline survey [ICPSR 2760]. The MIDUS Refresher survey employed the same comprehensive assessments as those assembled on the existing MIDUS sample, but with additional questions about the effect of the economic recession of 2008-09.

The MIDUS Refresher collection is split into two datasets: Aggregate Data and Coded Text Data. The Coded Text Dataset provides coded responses to open-ended question items in the Aggregate Dataset. The survey data collection (Project 1) [MIDUS, ICPSR 2760] consisted of a 30-minute phone interview followed by two 50-page mailed self-administered questionnaires. Survey data were collected on demographic, psycho-social, and physical and mental health information. This new crosssectional MIDUS sample allows the examination of period effects on health (mental and physical) related to the economic recession by comparing the pre-recession MIDUS 1 sample with the post-recession MIDUS Refresher sample. A further objective of the MIDUS Refresher sample was to strengthen cross-project analyses in MIDUS by increasing the sample sizes available for testing hypotheses dealing with the interplay of key factors (e.g., socioeconomic status, gender, psychosocial factors, biological factors) in mid- and laterlife health. To that end, the MIDUS Refresher sample followed the same multi-disciplinary protocol established in the main MIDUS sample, in that after completing the survey protocol respondents were asked to complete a cognitive assessment by phone (Project 3) [MIDUS 3, ICPSR 36346] and later became eligible to participate in daily diary assessments (Project 2) [MIDUS 2, ICPSR 4652] biomarker assessments (Project 4) [MIDUS 2: Biomarker Project, ICPSR 29282] and neuroscience assessments (Project 5) [MIDUS 2: Neuroscience Project, ICPSR 28683].

The MIDUS Refresher was funded by the National Institute on Aging as two separate but related efforts: The MIDUS Refresher younger decades (MRY), was fielded in November, 2011, and recruited over 2,100 new participants aged 25 to 54; Funding was later added for the MIDUS Refresher older decades (MRO), which was fielded in June, 2013 and recruited over 1,400 new participants aged 55 to 74.

Demographic variables include age, sex, gender, race, religion, and marital status.