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MIDUS Publications Database Search

This search provides access to bibliographies of publications that use MIDUS data.

1. Search by Topic:

Affect/Emotion Non-Normative Parenting
Aging Obesity/Weight
Allostatic Load Occupation & Employment
Altruism Perceived Discrimination
Biomarkers Personality
Cancer Physical Health
Childhood/Early Life Psychological Well-being
Chronic & Acute Challenges Purpose in Life
Cognitive Function Race & Ethnicity
Culture/Country Religion & Spirituality
Daily Experiences Resilience
Gender Sense of Control
Genetics & Twins Sexuality
Health Behaviors Sleep
Historical Context/Recession Social Inequalities/SES
Mental Illness Social Relationships/Support
Mortality Social Responsibility
Neighborhood Volunteering
Neuroscience Work & Family


2. List all findings in our MIDUS database

3. Search by Field (click for instructions):

Search Text:
Search Field: Date Range: From to * Please enter 4-digit year, e.g. 2019
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Number of hits: 2041

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Prati, G. (2023). Religion and well-being: What is the magnitude and the practical significance of the relationship? Psychology of Religion and Spirituality. Advance online publication.
View publication via DOI: DOI:10.1037/rel0000515
View publication in PDF format: Click here to view this publication.

Prenda, K. M., & Lachman, M. E. (2001). Planning for the future: A life management strategy for increasing control and life satisfaction in adulthood. Psychology & Aging, 16(2), 206-216.
View publication via DOI: DOI:10.1037/0882-7974.16.2.206
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Priest, J. B. (2017). Examining differentiation of self as a mediator in the biobehavioral family model. Journal of Marital and Family Therapy, 45(1), 161-175.
View publication via DOI: DOI:10.1111/jmft.12301
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Priest, J. B., McNeil Smith, S., Woods, S. B., & Roberson, P. N. E. (2020). Discrimination, family emotional climate, and African American health: An application of the BBFM. Journal of Family Psychology, 34(5), 598-609.
View publication via DOI: DOI:10.1037/fam0000621
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Priest, J. B., Roberson, P. N. E., & Woods, S. B. (2019). In our lives and under our skin: An investigation of specific psychobiological mediators linking family relationships and health using the biobehavioral family model. Family Process, 58(1), 79-99.
View publication via DOI: DOI:10.1111/famp.12357
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Priest, J. B., Woods, S. B., Maier, C. A., Parker, E. O., Benoit, J. A., & Roush, T. R. (2015). The biobehavioral family model: Close relationships and allostatic load. Social Science & Medicine, 142, 232-240.
View publication via DOI: DOI:10.1016/j.socscimed.2015.08.026
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Puccetti, N. A., Schaefer, S. M., van Reekum, C. M., Ong, A. D., Almeida, D. M., Ryff, C. D., Davidson, R. J., & Heller, A. S. (2021). Linking amygdala persistence to real-world emotional experience and psychological well-being. Journal of Neuroscience, 41(16), 3721-3730.
View publication via DOI: DOI:10.1523/JNEUROSCI.1637-20.2021
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Pudrovska, T. (2010). Cancer and mastery: Do age and cohort matter? Social Science & Medicine, 71(7), 1285-1291.
View publication via DOI: DOI:10.1016/j.socscimed.2010.06.029
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Pudrovska, T. (2010). What makes you stronger: Age and cohort differences in personal growth after cancer. Journal of Health and Social Behavior, 51(3), 260-273.
View publication via DOI: DOI:10.1177/0022146510378239
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Pudrovska, T. (2015). Gender and health control beliefs among middle-aged and older adults. Journal of Aging and Health, 27(2), 284-303.
View publication via DOI: DOI:10.1177/0898264314549659
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Pudrovska, T., & Carr, D. (2009). Age at first birth and fathers' subsequent health: Evidence from sibling and twin models. American Journal of Men's Health, 3(2), 104-115.
View publication via DOI: DOI:10.1177/1557988307306424
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Puhl, R. M., Andreyeva, T., & Brownell, K. D. (2008). Perceptions of weight discrimination: Prevalence and comparison to race and gender discrimination in America. International Journal of Obesity, 32(6), 992-1000.
View publication via DOI: DOI:10.1038/ijo.2008.22
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Purol, M. F., & Chopik, W. J. (2021). Optimism: Enduring resource or miscalibrated perception? Social and Personality Psychology Compass, 15(5), Article e12593.
View publication via DOI: DOI:10.1111/spc3.12593
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Puterman, E., Weiss, J., Beauchamp, M. R., Mogle, J., & Almeida, D. M. (2017). Physical activity and negative affective reactivity in daily life. Health Psychology, 36(12), 1186-1194.
View publication via DOI: DOI:10.1037/hea0000532
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Puterman, E., Weiss, J., Hives, B. A., Gemmill, A., Karasek, D., Mendes, W. B., & Rehkopf, D. H. (2020). Predicting mortality from 57 economic, behavioral, social, and psychological factors. Proceedings of the National Academy of Sciences, 117(28), 16273-16282.
View publication via DOI: DOI:10.1073/pnas.1918455117
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Putnam, M., Morrow-Howell, N., Inoue, M., Greenfield, J. C., Chen, H., & Lee, Y. (2014). Suitability of public use secondary data sets to study multiple activities. Gerontologist, 54(5), 818-829.
View publication via DOI: DOI:10.1093/geront/gnt074
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Qian, X. L., Yarnal, C. M., & Almeida, D. (2014). Using the dynamic model of affect (DMA) to examine leisure time as a stress coping resource: Taking into account stress severity and gender difference. Journal of Leisure Research, 46(4), 483-505.
View publication via DOI: DOI:10.1080/00222216.2014.11950338
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Qian, X. L., Yarnal, C., & Almeida, D. (2013). Does leisure time as a stress coping resource increase affective complexity? Applying the dynamic model of affect (DMA). Journal of Leisure Research, 45(3), 393-414.
View publication via DOI: DOI:10.18666/jlr-2013-v45-i3-3157
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Qian, X. L., Yarnal, C., & Almeida, D. (2014). Is leisure time availability associated with more or less severe daily stressors? An examination using eight-day diary data. Leisure Sciences, 36(1), 35-51.
View publication via DOI: DOI:10.1080/01490400.2014.860782

Qian, X., Yarnal, C., & Almeida, D. (2014). Does leisure time moderate or mediate the effect of daily stress on positive affect? An examination using eight-day diary data. Journal of Leisure Research, 46(1), 106-124.
View publication via DOI: DOI:10.1080/00222216.2014.11950315
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Quinn-Nilas, C. (2020). Relationship and sexual satisfaction: A developmental perspective on bidirectionality. ournal of Social and Personal Relationships, 37(2), 624-646.
View publication via DOI: DOI:10.1177/0265407519876018
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Quoidbach, J., Gilbert, D. T., & Wilson, T. D. (2013). The end of history illusion. Science, 339(6115), 96-98.
View publication via DOI: DOI:10.1126/science.1229294
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Quoidbach, J., Gilbert, D. T., & Wilson, T. D. (2020). Your life satisfaction will change more than you think: A comment on Harris and Busseri (2019). Journal of Research in Personality, 86, Article 103937.
View publication via DOI: DOI:10.1016/j.jrp.2020.103937
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Qureshi, F., Bousquet-Santos, K., Okuzono, S. S., Tsao, E., Delaney, S., Guimond, A.-J., Boehm, J. K., & Kubzansky, L. D. (2022). The social determinants of ideal cardiovascular health: A global systematic review. Annals of Epidemiology, 76, 20-38.
View publication via DOI: DOI:10.1016/j.annepidem.2022.09.006
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Rackoff, G. N., & Newman, M. G. (2020). Reduced positive affect on days with stress exposure predicts depression, anxiety disorders, and low trait positive affect 7 years later. Journal of Abnormal Psychology, 129(8), 799-809.
View publication via DOI: DOI:10.1037/abn0000639
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Radler, B. (2015). Making the most of data. International Innovation, 184, 28-30.
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Radler, B. T. (2014). The Midlife in the United States (MIDUS) series: A national longitudinal study of health and well-being. Open Health Data, 2(1), Article e3.
View publication via DOI: DOI:10.5334/ohd.ai
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Radler, B. T., & Love, G. D. (2018). Behind the scenes in integrative health science: Understanding and negotiating data management challenges. In C. D. Ryff & R. F. Krueger (Eds.), The Oxford handbook of integrative health science. New York: Oxford University Press.
View publication via DOI: DOI:10.1093/oxfordhb/9780190676384.001.0001

Radler, B. T., & Ryff, C. D. (2010). Who participates? Accounting for longitudinal retention in the MIDUS National Study of Health and Well-Being. Journal of Aging and Health, 22(3), 307-331.
View publication via DOI: DOI:10.1177/0898264309358617
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Radler, B. T., Rigotti, A., & Ryff, C. D. (2018). Persistently high psychological well-being predicts better HDL cholesterol and triglyceride levels: Findings from the Midlife in the U.S. (MIDUS) longitudinal study Lipids in Health and Disease, 17(1), Article 1.
View publication via DOI: DOI:10.1186/s12944-017-0646-8
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