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Midlife in the United States (MIDUS 3), 2013-2014

Version
v5
Resource Type
Dataset : survey data
Creator
  • Ryff, Carol
  • Almeida, David
  • Ayanian, John
  • Binkley, Neil
  • Carr, Deborah S.
  • Coe, Christopher
  • Davidson, Richard
  • Grzywacz, Joseph
  • Karlamangla, Arun
  • Krueger, Robert
  • Lachman, Margie
  • Love, Gayle
  • Mailick, Marsha
  • Mroczek, Daniel
  • Radler, Barry
  • Seeman, Teresa
  • Sloan, Richard
  • Thomas, Duncan
  • Weinstein, Maxine
  • Williams, David
Other Title
  • MIDUS 3 (Alternative Title)
  • Version 5 (Subtitle)
Collective Title
  • Midlife in the United States (MIDUS) Series
Publication Date
2015-12-18
Publication Place
Ann Arbor, Michigan
Publisher
  • Inter-University Consortium for Political and Social Research
Funding Reference
  • United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging
Language
English
Free Keywords
Schema: ICPSR
activities of daily living; adults; aging; caregivers; chronic illnesses; discrimination; education; experience; finance; financial support; health; health problems; health status; household composition; income; life; life satisfaction; lifestyles; living arrangements; marital status; mental health; midlife; neighborhood conditions; neighborhoods; neighbors; occupational status; occupations; prescription drugs; psychological wellbeing; recession; religion; religious attitudes; religious beliefs; self concept; sexual attitudes; social indicators; womens health care; work
Description
  • Abstract

    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. The study was innovative for its broad scientific scope, its diverse samples (which included siblings of the main sample respondents and a national sample of twin pairs), and its creative use of in-depth assessments in key areas (e.g. daily diary of stressful experiences [ICPSR 3725] and cognitive functioning [ICPSR 3596]) on a subset of participants. A detailed description of the study and findings generated by it are available at: http://www.midus.wisc.edu With support from the National Institute on Aging, a follow-up of the original Midlife Development in the United States (MIDUS) sample was conducted in 2004 (MIDUS 2 [ICPSR 4652]). The daily stress and cognitive functioning projects were repeated and expanded at MIDUS 2; in addition the protocol was expanded to include biomarkers and neuroscience. 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 such as economic recession experiences. Cognitive functioning data were also collected at the same time, while data collection for the daily diary, biomarker, and neuroscience projects commenced in 2017. MIDUS also maintains a Colectica portal, which allows users to interact with variables across waves and create customized subsets. Registration is required.
  • Methods

    The Aggregate Data dataset contains 2,613 variables and 3,294 cases. This dataset includes information about the following types of variables: recession experience, health, education, occupation, marital status, household roster, children, caregiving, living arrangements, race and ethnicity, life satisfaction, health insurance, personal beliefs, finances, community involvement, neighborhood, social networks, sexuality, religion and spirituality, discrimination, childhood family background, images of life change, and psychological turning points. The Disposition Codes dataset contains 6 variables and 7,108 cases. This dataset contains final disposition codes for the M3 phone interview. The Coded Text Data dataset contains 183 variables and 3,137 cases. This dataset contains coded text responses to open-ended questions and those which had "Other-specify" responses.
  • Methods

    ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created online analysis version with question text.; Checked for undocumented or out-of-range codes..
  • Methods

    Presence of Common Scales: For information regarding scales, please refer to the Psychosocial Constructs and Composite Variables.
  • Methods

    Response Rates: 77 percent of living longitudinal participants completed the M3 phone survey. Details of fielding and final disposition codes for Phone, SAQ, as well as Cognitive data collection projects can be found in the Field Report.
  • Abstract

    Datasets:

    • DS0: Study-Level Files
    • DS1: Aggregate Data
    • DS2: Disposition Codes
    • DS3: Coded Text Data
    • DS4: National Survey of Midlife Development in the United States (MIDUS 3), 2013-2014, Coded Text Data
Temporal Coverage
  • Time period: 2013-05--2014-11
  • 2013-05 / 2014-11
  • Collection date: 2013-05--2014-11
  • 2013-05 / 2014-11
Geographic Coverage
  • Contiguous United States
Sampled Universe
The noninstitutionalized, English-speaking population of the United States. Smallest Geographic Unit: none
Sampling
Only living respondents who completed the M2 phone interview were eligible for participation in the M3 survey.
Collection Mode
  • computer-assisted telephone interview (CATI)
  • cognitive assessment test
  • mail questionnaire
Note
2019-04-30 This collection has been updated to include new data supplied by the P.I. The resupplied data includes new cases for the Self-Administered Questionnaire (SAQ) as part of the MIDUS M3 re-fielding effort undertaken to increase participant completion during 2015 fielding. The re-fielding cases can be identified and/or filtered with C1STATUS or the new M3RE_FILTER variables. Ten post-stratification weight variables (C1PWGHT1 through C1PWGHT10), and a new occupation variable based on Standard Occupation Classification system, have been added to the Aggregate dataset. Documentation has been updated accordingly. For more detailed information, please refer to the P.I.'s README file. The Mortality dataset has been removed from this collection and is a separate study, Midlife in the United States (MIDUS3): Mortality Data, 2016 (ICPSR 37237). The datasets have been renumbered: Dataset 1: Aggregate Data; Dataset 2: Disposition Codes; Dataset 3: Coded Text Data; 2017-11-21 This collection is being updated, per request from the PI, to reflect a title change; the corresponding downloadable files are only being updated to reflect the title change, where applicable.2017-03-09 The coded text data set has been added. Additionally, the MIDUS 3 Readme documentation has been updated.2016-03-10 The MIDUS 3 Readme documentation has been updated.2016-03-07 The documents that were previously combined to create the User Guide have been filtered into the Pyschsocial Constructs and Composite Variables and the Naming and Coding Conventions documents. The documents combined to create the questionnaire documentation have been separated into the MIDUS 3 Telephone Interview and the MIDUS 3 Self-Administered Questionnaire (SAQ).2016-02-29 The fully-processed collection is being released. Funding institution(s): United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging (PO1AG020166).
Availability
Download
This version of the study is no longer available on the web. If you need to acquire this version of the data, you have to contact ICPSR User Support (ICPSR-help@umich.edu).
Alternative Identifiers
  • 36346 (Type: ICPSR Study Number)
Relations
  • Is previous version of
    DOI: 10.3886/ICPSR36346.v6
  • Is new version of
    DOI: 10.3886/ICPSR36346.v4
Publications
  • Campbell, J.A., Mosley-Johnson, E., Garacci, E., Walker, R.J., Egede, L.E.. The co-occurrence of diabetes and adverse childhood experiences and its impact on mortality in US adults. Journal of Affective Disorders.249, 20-25.2019.
    • ID: 10.1016/j.jad.2019.02.016 (DOI)
  • Chopik, William J., Edelstein, Robin S.. Retrospective memories of parental care and health from mid- to late life. Health Psychology.38, (1), 84-93.2019.
    • ID: 10.1037/hea0000694 (DOI)
  • Hamm, J.M., Heckhausen, J., Shane, J., Infurna, F.J., Lachman, M.L.. Engagement with six major life domains during the transition to retirement: Stability and change for better or worse. Psychology and Aging.2019.
    • ID: https://www.researchgate.net/profile/Jeremy_Hamm2/publication/331231714_Engagement_with_six_major_life_domains_during_the_transition_to_retirement_Stability_and_change_for_better_or_worse/links/5c6d6c6a299bf1e3a5b78bb4/Engagement-with-six-major-life-domains-during-the-transition-to-retirement-Stability-and-change-for-better-or-worse.pdf (URL)
  • Hisler, Garrett C., Brenner, Rachel E.. Does sleep partially mediate the effect of everyday discrimination on future mental and physical health?. Social Science and Medicine.221, 115-123.2019.
    • ID: 10.1016/j.socscimed.2018.12.002 (DOI)
  • Lachman, Margie E., Liu, Yujun. Education and cognition in mid age and later life: The mediating role of physical and cognitive activity. Journals of Gerontology, Series B: Psychological Sciences and Social Sciences.2019.
    • ID: 10.1093/geronb/gbz020 (DOI)
  • Lee, Soomi, Mogle, Jacqueline A., Jackson, Chandra L., Buxton, Orfeu M.. What's not fair about work keeps Me up: Perceived unfairness about work impairs sleep through negative work-to-family spillover. Social Science Research.2019.
    • ID: 10.1016/j.ssresearch.2019.03.002 (DOI)
  • Mishra, Aura A., Friedman, Elliot M., Christ, Sharon L., Denning, Madison. The association of psychological well-being with disablement processes in a national sample. Applied Psychology.2019.
    • ID: 10.1111/aphw.12152 (DOI)
  • O'Meara, Madison S., South, Susan C.. Big five personality domains and relationship satisfaction: Direct effects and correlated change over time. Journal of Personality.2019.
    • ID: 10.1111/jopy.12468 (DOI)
  • Ruiz, Andrea L., Acevedo, Gabriel A., Marquez, Raquel R., Marquez, Marcos. Expanding the utility of race-based accountability: An application of RBA to longitudinal data analyses. Race and Justice.9, (1), 60-79.2019.
    • ID: 10.1177/2153368718811046 (DOI)
  • Chapman, B.P., Elliot, A.J.. Personality and socioeconomic status over the adult working years. The Oxford Handbook of Integrative Health Science.New York, NY: Oxford University Press. 2018.
  • Cuevas, A., Williams, D.R.. Perceived discrimination and health: Integrative findings. The Oxford Handbook of Integrative Health Science.New York, NY: Oxford University Press. 2018.
  • Drewelies, J., Agrigoroaei, S., Lachman, M.E., Gerstorf, D.. Age variations in cohort differences in the United States: Older adults report fewer constraints nowadays than those 18 years ago, but mastery beliefs are diminished among younger adults.. Developmental Psychology.54, (8), 1408-1425.2018.
    • ID: 10.1037/dev0000527 (DOI)
  • Ellis, E.M., Nelson, W.L., Ferrer, R.A.. Trajectories of current and predicted satisfaction with one's life following a cancer diagnosis. Annals of Behavioral Medicine.2018.
    • ID: 10.1093/abm/kay025 (DOI)
  • Ferrer, Rebecca, Orehek, Edward, Scheier, Michael F., O'connell, Mary E.. Cigarette tax rates, behavioral disengagement, and quit ratios among daily smokers. Journal of Economic Psychology.66, 13-21.2018.
    • ID: 10.1016/j.joep.2018.03.005 (DOI)
  • Friedman, E., Lebreton, B., Fuzzell, L., Wehrspann, E.. Biopsychosocial patterning of multimorbidity and its consequences. The Oxford Handbook of Integrative Health Science.New York, NY: Oxford University Press. 2018.
  • Fuller-Rowell, T.E., Curtis, D.S., Chae, D.H., Ryff, C.D.. Longitudinal health consequences of socioeconomic disadvantage: Examining perceived discrimination as a mediator. Health Psychology.37, (5), 491-500.2018.
    • ID: 10.1037/hea0000616 (DOI)
  • Gallagher, Matthew, Long, Laura, Richardson, Angela, D'Souza, Johann M.. Resilience and coping in cancer survivors: The unique effects of optimism and mastery. Cognitive Therapy and Research.2018.
    • ID: 10.1007/s10608-018-9975-9 (DOI)
  • Hughes, Matthew L., Agrigoroaei, Stefan, Jeon, Minjeong, Bruzzese, Molly, Lachman, Margie E.. Change in cognitive performance from midlife into old age: Findings from the Midlife in the United States (MIDUS) Study. Journal of the International Neuropsychological Society.00, 1-162018.
    • ID: DOI: 10.1017/S1355617718000425 (DOI)
  • Jokela, Markus, Airaksinen, Jaakko, Kivimaki, Mika, Hakulinen, Christian. Is within-individual variation in personality traits associated with changes in health behaviours? Analysis of seven longitudinal cohort studies. European Journal of Personality.32, (6), 642-652.2018.
    • ID: 10.1002/per.2173 (DOI)
  • Joshanloo, Mohsen. Evaluating the factor structure of the MIDI personality scale using exploratory structural equation modeling. Japanese Psychological Research.2018.
    • ID: 10.1111/jpr.12186 (DOI)
  • Joshanloo, Mohsen, Sirgy, M.J., Park, Joonha. Directionality of the relationship between social well-being and subjective well-being: Evidence from a 20-year longitudinal study. Quality of Life Research.2018.
    • ID: 10.1007/s11136-018-1865-9 (DOI)
  • Kong, Jooyoung, Moorman, Sara, Martire, Lynn, Almeida, David. The role of current family relationships in associations between childhood abuse and adult psychological functioning. Journals of Gerontology, Series B: Psychological Sciences and Social Sciences.00, 1-11.2018.
    • ID: 10.1093/geronb/gby076 (DOI)
  • Lee, C., Ryff, C.D., Coe, C.L.. Gender, early life adversity, and adult health. The Oxford Handbook of Integrative Health Science.New York, NY: Oxford University Press. 2018.
  • Leger, Kate A., Charles, Susan T., Almeida, David M.. Let it go: Lingering negative affect in response to daily stressors is associated with physical health years later. Psychological Science.2018.
    • ID: 10.1177/0956797618763097 (DOI)
  • Moran, Karena M., Turiano, Nicholas A., Gentzler, Amy L.. Parental warmth during childhood predicts coping and well-being in adulthood. Journal of Family Psychology.2018.
    • ID: 10.1037/fam0000401 (DOI)
  • Mosley-Johnson, Elise, Garacci, Emma, Wagner, Nick, Mendez, Carlos, Williams, Joni S., Egede, Leonard E.. Assessing the relationship between adverse childhood experiences and life satisfaction, psychological well-being, and social well-being: United States Longitudinal Cohort 1995-2014. Quality of Life Research.2018.
    • ID: 10.1007/s11136-018-2054-6 (DOI)
  • Ravyts, Scott G., Dzierzewski, Joseph M., Raldiris, Tarah, Perez, Elliottnell. Sleep and pain interference in individuals with chronic pain in mid- to late-life: The influence of negative and positive affect. Journal of Sleep Research.2018.
    • ID: 10.1111/jsr.12807 (DOI)
  • Roberson, P.N.E., Shorter, R.L., Woods, S., Priest, J.. How health behaviors link romantic relationship dysfunction and physical health across 20 years for middle-aged and older adults. Social Science and Medicine.201, 18-26.2018.
    • ID: 10.1016/j.socscimed.2018.01.037 (DOI)
  • Robinson, Stephanie A., Lachman, Margie E.. Perceived control and cognition in adulthood: The mediating role of physical activity. Psychology and Aging.33, (5), 769-781.2018.
    • ID: 10.1037/pag0000273 (DOI)
  • Russell, Allison R., Nyame-Mensah, Ama, De Wit, Arjen, Handy, Femida. Volunteering and wellbeing among ageing adults: A longitudinal analysis. Voluntas.2018.
    • ID: 10.1007/s11266-018-0041-8 (DOI)
  • Ryff, Carol D., Krueger, Robert F.. The Oxford Handbook of Integrative Health Science. New York, NY: Oxford University Press. 2018.
    • ID: 10.1093/oxfordhb/9780190676384.001.0001 (DOI)
  • Shigemoto, Yuki. Moderating effect of agreeableness on coping among cancer survivors: A longitudinal analysis. Journal of Loss and Trauma.23, (7), 588-599.2018.
    • ID: 10.1080/15325024.2018.1498198 (DOI)
  • Song, J., Mailick, M.R., Greenberg, J.S., Hong, J.. The lifelong health effects of parenting a child with developmental or mental health problems. The Oxford Handbook of Integrative Health Science.New York, NY: Oxford University Press. 2018.
  • Song, Jieun, Mailick, Marsha R., Greenberg, Jan S.. Health of parents of individuals with developmental disorders or mental health problems: Impacts of stigma. Social Science and Medicine.217, 152-158.2018.
    • ID: 10.1016/j.socscimed.2018.09.044 (DOI)
  • Stanton, Sarah C.E., Selcuk, Emre, Farrell, Allison K., Slatcher, Richard B., Ong, Anthony D.. Perceived partner responsiveness, daily negative affect reactivity, and all-cause mortality: A 20-year longitudinal study. Psychosomatic Medicine.2018.
    • ID: 10.1097/PSY.0000000000000618 (DOI)
  • Stephan, Y., Sutin, A.R., Luchetti, M., Bosselut, G. Terracciano, A.. Physical activity and personality development over twenty years: Evidence from three longitudinal samples. Journal of Research in Personality.73, 173-179.2018.
    • ID: 10.1016/j.jrp.2018.02.005 (DOI)
  • Stephan, Y., Sutin, A.R., Terracciano, A.. Subjective age and mortality in three longitudinal samples. Psychosomatic Medicine.2018.
    • ID: 10.1097/psy.0000000000000613 (DOI)
  • Stokes, Jeffrey E.. Trajectories of perceived neighborhood quality across the life course: Sociodemographic determinants and implications for well-being. Social Science Research.2018.
    • ID: 10.1016/j.ssresearch.2018.11.001 (DOI)
  • Treas, Judith, Gubernskaya, Zoya. Did mobile phones increase adult children’s maternal contact?. Families and Technology.Cham, Switzerland: Springer International Publishing. 2018.
    • ID: 10.1007/978-3-319-95540-7_8 (DOI)
  • Tse, Dwight C.K.. Volunteers' felt respect and its associations with volunteering retention, daily affect, well-being, and mortality. Journals of Gerontology, Series B: Psychological Sciences and Social Sciences.2018.
    • ID: 10.1093/geronb/gby117 (DOI)
  • Vittengl, J.R.. Mediation of the bidirectional relations between obesity and depression among women. Psychiatry Research.264, 254-259.2018.
    • ID: 10.1016/j.psychres.2018.03.023 (DOI)
  • Wardecker, Britney M., Matsick, Jes L., Graham-Engeland, Jennifer E., Almeida, David M.. Life satisfaction across adulthood in bisexual men and women: Findings from the Midlife in the United States (MIDUS) Study. Archives of Sexual Behavior.2018.
    • ID: 10.1007/s10508-018-1151-5 (DOI)
  • Wedow, R., Briley, D.A., Short, S.E., Boardman, J.D.. Weight identity among older adults in the United States: Genetic and environmental influences. The Oxford Handbook of Integrative Health Science.New York, NY: Oxford University Press. 2018.
  • Wiese, Christopher W., Chen, Zhuo J., Tay, Louis, Friedman, Elliot M., Rector, Jerrald L.. The role of affect on physical health over time: A cross-lagged panel analysis over 20 years. Applied Psychology.2018.
    • ID: 10.1111/aphw.12149 (DOI)
  • Zainal, Nur Hani, Newman, Michelle G.. Executive function and other cognitive deficits are distal risk factors of generalized anxiety disorder 9 years later. Psychological Medicine.2018.
    • ID: 10.1017/S0033291717003579 (DOI)
  • Denham, Bryan E.. Psychosocial correlates of dietary supplement use: Results from the National Survey of Midlife Development in the United States. Ecology of Food and Nutrition.56, 171-186.2017.
    • ID: 10.1080/03670244.2016.1277711 (DOI)
  • Forbes, Miriam K., Eaton, Nicholas R., Krueger, Robert F.. Sexual quality of life and aging: A prospective study of a nationally representative sample. Journal of Sex Research.54, (2), 137-148.2017.
    • ID: 10.1080/00224499.2016.1233315 (DOI)
  • Hostinar, Camelia E., Davidson, Richard J., Graham, Eileen K., Mroczek, Daniel K., Lachman, Margie E., Seeman, Teresa E., van Reekum, Carien M., Miller, Gregory E.. Frontal brain asymmetry, childhood maltreatment, and low-grade inflammation at midlife. Psychoneuroendocrinology.75, 152-163.2017.
    • ID: 10.1016/j.psyneuen.2016.10.026 (DOI)
  • Joshanloo, Mohsen. Factor structure and criterion validity of original and short versions of the Negative and Positive Affect Scale (NAPAS). Personality and Individual Differences.105, 233-237.2017.
    • ID: 10.1016/j.paid.2016.09.060 (DOI)
  • Joshanloo, Mohsen. Structural and discriminant validity of the tripartite model of mental well-being: Differential relationships with the big five traits. Journal of Mental Health.2017.
    • ID: 10.1080/09638237.2017.1370633 (DOI)
  • Morton, Patricia M., Ferraro, Kenneth F.. Does early-life misfortune increase the likelihood of psychotropic medication use in later life?. Research on Aging.2017.
    • ID: 10.1177/0164027517717045 (DOI)
  • Patterson, Joanne G., Jabson, Jennifer M., Bowen, Deborah J.. Measuring sexual and gender minority populations in health surveillance. LGBT Health.4, (2), 82-105.2017.
    • ID: 10.1089/lgbt.2016.0026 (DOI)
  • Robinette, Jennifer W., Charles, Susan T., Gruenewald, Tara L.. Neighborhood socioeconomic status and health: A longitudinal analysis. Journal of Community Health.42, (5), 865-871.2017.
    • ID: 10.1007/s10900-017-0327-6 (DOI)
  • Serrat, Rodrigo, Villar, Feliciano, Pratt, Michael W., Stukas, Arthur A.. On the quality of adjustment to retirement: The longitudinal role of personality traits and generativity. Journal of Personality.2017.
    • ID: 10.1111/jopy.12326 (DOI)
  • Song, J., Mailick, M. R., Greenberg, J. S.. The impact of the Great Recession on midlife and older parents of individuals with a mental health problem or a developmental disability. Gerontologist.2017.
    • ID: 10.1093/geront/gnw269 (DOI)
  • Stark, E., Poppler, P.. Gray, idiosyncratic, and generative: Fathoming the new old workforce. Journal of Organizational Psychology.17, (6), 10-24.2017.
    • ID: http://eds.b.ebscohost.com/abstract?site=eds&scope=site&jrnl=21583609&AN=127646094&h=NfEXmWLvdH2mJOHa0SZv4TUdcOU6YEOyrJhGkUtGbivJ%2bqbTiy8aISHXQpMKOl6zxTudMRdJaBLzc6w1D2YHeQ%3d%3d&crl=c&resultLocal=ErrCrlNoResults&resultNs=Ehost&crlhashurl=login.aspx%3fdirect%3dtrue%26profile%3dehost%26scope%3dsite%26authtype%3dcrawler%26jrnl%3d21583609%26AN%3d127646094 (URL)
  • Stephan, Yannick, Sutin, Angelina R., Bayard, Sophie, Terracciano, Antonio. Subjective age and sleep in middle-aged and older adults. Psychology and Health.2017.
    • ID: 10.1080/08870446.2017.1324971 (DOI)
  • Vittengl, J.R.. Poorer long-term outcomes among persons with major depressive disorder treated with medication. Psychotherapy and Psychosomatics.86, (5), 302-304.2017.
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  • Lee, Chioun, Ryff, Carol D.. Early parenthood as a link between childhood disadvantage and adult heart problems: A gender-based approach. Social Science and Medicine.171, 58-66.2016.
    • ID: 10.1016/j.socscimed.2016.10.028 (DOI)
  • Robinette, Jennifer W., Charles, Susan T., Gruenewald, Tara L.. Vigilance at home: Longitudinal analyses of neighborhood safety perceptions and health. SSM - Population Health.2, 525-530.2016.
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  • Sutin, Angelina R., Stephan, Yannick, Grzywacz, Joseph G., Robinson, Eric, Daly, Michael, Terracciano, Antonio. Perceived weight discrimination, changes in health, and daily stressors. Obesity.24, (10), 2202-2209.2016.
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Update Metadata: 2019-04-30 | Issue Number: 3 | Registration Date: 2017-03-09

Ryff, Carol; Almeida, David; Ayanian, John; Binkley, Neil; Carr, Deborah S. et. al. (2015): Midlife in the United States (MIDUS 3), 2013-2014. Version 5. Midlife in the United States (MIDUS) Series. Version: v5. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/ICPSR36346.v5