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MIDUS Publications Database Search

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

1. Search by Topic:

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2. List all findings in our MIDUS database

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Number of hits: 914

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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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Puterman, E., Weiss, J., Beauchamp, M. R., Mogle, J., & Almeida, D. M. (2017). Physical activity and negative affective reactivity in daily life. Health Psychology. Advance online publication.
View publication via DOI: DOI:10.1037/hea0000532
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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.
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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.
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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.
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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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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), e3.
View publication via DOI: DOI:10.5334/ohd.ai
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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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Ransome, Y., Slopen, N., Karlsson, O., & Williams, D. R. (2017). The association between alcohol abuse and neuroendocrine system dysregulation: Race differences in a national sample. Brain, Behavior, and Immunity, 66, 313-321.
View publication via DOI: DOI:10.1016/j.bbi.2017.07.154
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Ready, R. E., Akerstedt, A. M., & Mroczek, D. K. (2012). Emotional complexity and emotional well-being in older adults: Risks of high neuroticism. Aging & Mental Health, 16(1), 17-26.
View publication via DOI: DOI:10.1080/13607863.2011.602961
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Reisinger Walker, E., & Druss, B. G. (2015). Rate and predictors of persistent major depressive disorder in a nationally representative sample. Community Mental Health Journal, 51(6), 701-707.
View publication via DOI: DOI:10.1007/s10597-014-9793-9
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Relton, C., Cooper, K., Viksveen, P., Fibert, P., & Thomas, K. (2017). Prevalence of homeopathy use by the general population worldwide: A systematic review. Homeopathy, 106(2), 69-78.
View publication via DOI: DOI:10.1016/j.homp.2017.03.002
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Rendina, D. N., Ryff, C. D., & Coe, C. L. (2017). Precipitous dehydroepiandrosterone declines reflect decreased physical vitality and function. he Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 72(6), 747-753.
View publication via DOI: DOI:10.1093/gerona/glw135
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Reynolds, C. A., Gatz, M., Christensen, K., Christiansen, L., Dahl Aslan, A. K., Kaprio, J., Korhonen, T., Kremen, W. S., Krueger, R., McGue, M., Neiderhiser, J. M., & Pedersen, N. L. (2016). Gene-environment interplay in physical, psychological, and cognitive domains in mid to late adulthood: Is APOE a variability gene? Behavior Genetics, 46(1), 4-19.
View publication via DOI: DOI:10.1007/s10519-015-9761-3
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Richardson, G. B., Sanning, B. K., Lai, M. H. C., Copping, L. T., Hardesty, P. H., & Kruger, D. J. (2017). On the psychometric study of human life history strategies: State of the science and evidence of two independent dimensions. Evolutionary Psychology, 15(1), 1474704916666840.
View publication via DOI: DOI:10.1177/1474704916666840
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Riggle, E. D. B., Rostosky, S. S., & Danner, F. (2009). LGB identity and eudaimonic well being in midlife. Journal of Homosexuality, 56(6), 786-798.
View publication via DOI: DOI:10.1080/00918360903054277
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Robert, S.A., & Li, L.W. (2001). Age variation in the relationship between community socioeconomic status and adult health. Research on Aging, 23(2), 233-258.
View publication via DOI: DOI:10.1177/0164027501232005
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Roberts, M. E., Colby, S. M., Lu, B., & Ferketich, A. K. (2016). Understanding tobacco use onset among African Americans. Nicotine & Tobacco Research, 18(suppl 1), S49-S56.
View publication via DOI: DOI:10.1093/ntr/ntv250
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Robertson, R. E., Tran, F. W., Lewark, L. N., & Epstein, R. (2017). Estimates of non-heterosexual prevalence: The roles of anonymity and privacy in survey methodology. Archives of Sexual Behavior. Advance online publication.
View publication via DOI: DOI:10.1007/s10508-017-1044-z
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Robinette, J. W., Charles, S. T., & Gruenewald, T. L. (2016). Vigilance at home: Longitudinal analyses of neighborhood safety perceptions and health. SSM - Population Health, 2, 525-530.
View publication via DOI: DOI:10.1016/j.ssmph.2016.06.004
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Robinette, J. W., Charles, S. T., & Gruenewald, T. L. (2017). Neighborhood socioeconomic status and health: A longitudinal analysis. Journal of Community Health, 42, 865-871.
View publication via DOI: DOI:10.1007/s10900-017-0327-6
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Robinette, J. W., Charles, S. T., Almeida, D. M., & Gruenewald, T. L. (2016). Neighborhood features and physiological risk: An examination of allostatic load. Health & Place, 41, 110-118.
View publication via DOI: DOI:10.1016/j.healthplace.2016.08.003
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Robinette, J. W., Charles, S. T., Mogle, J. A., & Almeida, D. M. (2013). Neighborhood cohesion and daily well-being: Results from a diary study. Social Science and Medicine.
View publication via DOI: DOI:10.1016/j.socscimed.2013.07.027
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Robinson, E., Hunger, J. M., & Daly, M. (2015). Perceived weight status and risk of weight gain across life in US and UK adults. International Journal of Obesity, 39, 1721-1726.
View publication via DOI: DOI:10.1038/ijo.2015.143
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