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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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Number of hits: 1039

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Chou, R., & Choi, N. (2011). Prevalence and correlates of perceived workplace discrimination among older workers in the United States of America. Ageing and Society, 31(6), 1051.
View publication via DOI: DOI:10.1017/S0144686X10001297
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Chung, J. (2017). Social support, social strain, sleep quality, and actigraphic sleep characteristics: Evidence from a national survey of US adults. Sleep Health, 3(1), 22-27.
View publication via DOI: DOI:10.1016/j.sleh.2016.10.003
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Chung, M. K., Kim, S. G., Schaefer, S. M., van Reekum, C. M., Peschke-Schmitz, L., Sutterer, M. J., & Davidson, R. J. (2014). Improved statistical power with a sparse shape model in detecting an aging effect in the hippocampus and amygdala. Proceedings - Society of Photo-Optical Instrumentation Engineers, 9034, 90340y.
View publication via DOI: DOI:10.1117/12.2036497
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Cichy, K. E., & Lee, J. E. (2018). Family as a naturally occurring stressor: Race, psychosocial factors, and daily health. In C. D. Ryff & R. F. Krueger (Eds.), The Oxford handbook of integrative health science. New York: Oxford University Press..

Cichy, K. E., Stawski, R. S., & Almeida, D. M. (2012). Racial differences in exposure and reactivity to daily family stressors. Journal of Marriage & Family, 74(3), 572-586.
View publication via DOI: DOI:10.1111/j.1741-3737.2012.00971.x
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Cichy, K. E., Stawski, R. S., & Almeida, D. M. (2014). A double-edged sword: Race, daily family support exchanges, and daily well-being. Journal of Family Issues, 35(13), 1824-1845.
View publication via DOI: DOI:10.1177/0192513x13479595
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Cleary, P. D., Zaborski, L. B., & Ayanian, J. Z. (2004). Sex differences in health over the course of mid-life. In O. G. Brim, C. D. Ryff & R. C. Kessler (Eds.), How healthy are we?: A national study of well-being at midlife. (pp. 37-63). Chicago, IL: University of Chicago Press.
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Cleveland, H. H., & Almeida, D. M. (2013). A behavioral genetic investigation of weekend drinking among an adult sample. Substance Use and Misuse, 48(5), 359-370.
View publication via DOI: DOI:10.3109/10826084.2013.763280

Coe, C. L., Love, G. D., Karasawa, M., Kawakami, N., Kitayama, S., Markus, H. R., Tracy, R. P., & Ryff, C. D. (2011). Population differences in proinflammatory biology: Japanese have healthier profiles than Americans. Brain, Behavior, and Immunity, 25(3), 494-502.
View publication via DOI: DOI:10.1016/j.bbi.2010.11.013
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Cohen, M., Granger, S., & Fuller-Thomson, E (2015). The association between bereavement and biomarkers of inflammation. Behavioral Medicine, 42(1), 49-59.
View publication via DOI: DOI:10.1080/08964289.2013.866539
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Colby, A., Sippola, L., & Phelps, E. (2001). Social responsibility and paid work in contemporary American life. In A. Rossi (Ed.), Caring and doing for others: Social responsibility in the domains of family, work, and community (pp. 463-501). Chicago, IL: University of Chicago Press.
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Combs, Y. J. (2002). Midlife health of African-American women: Cumulative disadvantage as a predictor of early senescence. Research in the Sociology of Health Care, 20, 123-135.
View publication via DOI: DOI:10.1016/S0275-4959(02)80010-2
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Cooke, P. J., Melchert, T. P., & Connor, K. (2016). Measuring well-being: A review of instruments. Counseling Psychologist, 44(5), 730-757.
View publication via DOI: DOI:10.1177/0011000016633507
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Cooper, K. L., Harris, P. E., Relton, C., & Thomas, K. J. (2013). Prevalence of visits to five types of complementary and alternative medicine practitioners by the general population: A systematic review. Complementary Therapies in Clinical Practice, 19(4), 214-220.
View publication via DOI: DOI:10.1016/j.ctcp.2013.06.006
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Cooper, T. M., McKinley, P. S., Seeman, T. E., Choo, T., Lee, S., & Sloan, R. P. (2015). Heart rate variability predicts levels of inflammatory markers: Evidence for the vagal anti-inflammatory pathway. Brain, Behavior, and Immunity, 49, 94-100.
View publication via DOI: DOI:10.1016/j.bbi.2014.12.017
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Corliss, H. L., Cochran, S. D., & Mays, V. M. (2002). Reports of parental maltreatment during childhood in a United States population-based survey of homosexual, bisexual, and heterosexual adults. Child Abuse & Neglect, 26(11), 1165-1178.
View publication via DOI: DOI:10.1016/S0145-2134(02)00385-X
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Cornman, J. C., Glei, D. A., Goldman, N., Ryff, C. D., & Weinstein, M. (2015). Socioeconomic status and biological markers of health: An examination of adults in the United States and Taiwan. Journal of Aging and Health, 27(1), 75-102.
View publication via DOI: DOI:10.1177/0898264314538661
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Cosco, T. D., Prina, M., Stubbs, B., & Wu, Y.-T. (2017). Reliability and validity of the center for epidemiologic studies depression scale in a population-based cohort of middle-aged U.S. Adults. Journal of Nursing Measurement, 25(3), 476-485.
View publication via DOI: DOI:10.1891/1061-3749.25.3.476
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Costanzo, E. S., Stawski, R. S., Ryff, C. D., Coe, C. L., & Almeida, D. (2012). Cancer survivors' responses to daily stress: Implications for quality of life. Health Psychology, 31(3), 360-370.
View publication via DOI: DOI:10.1037/a0027018
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Costanzo, E.S., Ryff, C.D., & Singer, B.H. (2009). Psychosocial adjustment among cancer survivors: Findings from a National Survey of Health and Well-Being. Health Psychology, 28(2), 147-156.
View publication via DOI: DOI:10.1037/a0013221
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Costello-White, R., Ryff, C. D., & Coe, C. L. (2015). Aging and low-grade inflammation reduce renal function in middle-aged and older adults in Japan and the USA. Age, 37(4), Article 75.
View publication via DOI: DOI:10.1007/s11357-015-9808-7
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Cotter, E. W., & Kelly, N. R. (2018). Stress-related eating, mindfulness, and obesity. Health Psychology, 37(6), 516-525.
View publication via DOI: DOI:10.1037/hea0000614
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Cotter, K. A., & Lachman, M. E. (2010). Psychosocial and behavioral contributors to health: Age-related increases in physical disability are reduced by physical fitness. Psychology & Health, 25(7), 805-820.
View publication via DOI: DOI:10.1080/08870440902883212
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Cotter, K.A., & Lachman, M.E. (2010). No strain, no gain: Psychosocial predictors of physical activity across the adult lifespan. Journal of Physical Activity & Health, 7(5), 584-594.
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Craig, C., Neilson, B., & Overbeek, R. W. (2016). An association between nature exposure and physiological measures of emotion and cognition. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 60(1), 1369-1373.
View publication via DOI: DOI:10.1177/1541931213601316
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Crandall, C. J., Karlamangla, A. S., Merkin, S. S., Binkley, N., Carr, D., Greendale, G. A., & Seeman, T. E. (2015). Adult bone strength of children from single-parent families: The Midlife in the U.S. Study. Osteoporosis International, 26(3), 931-942.
View publication via DOI: DOI:10.1007/s00198-014-2990-0
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Crandall, C. J., Merkin, S. S., Seeman, T. E., Greendale, G. A., Binkley, N., & Karlamangla, A. S. (2012). Socioeconomic status over the life-course and adult bone mineral density: The Midlife in the U.S. Study. Bone, 51(1), 107-113.
View publication via DOI: DOI:10.1016/j.bone.2012.04.009
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Crandall, C. J., Miller-Martinez, D., Greendale, G. A., Binkley, N., Seeman, T. E., & Karlamangla, A. S. (2012). Socioeconomic status, race, and bone turnover in the Midlife in the U.S. Study. Osteoporosis International, 23(5), 1503-1512.
View publication via DOI: DOI:10.1007/s00198-011-1736-5
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Crook, Z., & Booth, T. (2017). Considering the appropriateness of the factor analytic operationalization of allostatic load. Psychosomatic Medicine, 79(1), 117-119 [Commentary on JF Wiley et al. (2016). Modeling multisystem physiological dysregulation.].
View publication via DOI: DOI:10.1097/PSY.0000000000000415
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Crowley, O. V., Kimhy, D., McKinley, P. S., Burg, M. M., Schwartz, J. E., Lachman, M. E., Tun, P. A., Ryff, C. D., Seeman, T. E., & Sloan, R. P. (2016). Vagal recovery from cognitive challenge moderates age-related deficits in executive functioning. Research on Aging, 38(4), 504-525.
View publication via DOI: DOI:10.1177/0164027515593345
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