MIDUS Publications Database Search
This search provides access to bibliographies of publications that use MIDUS data.
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Number of hits: 2225
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Elliot, A. J., Heffner, K. L., Mooney, C. J., Moynihan, J. A., & Chapman, B. P. (2018). Social relationships and inflammatory markers in the MIDUS cohort. Journal of Aging and Health, 30(6), 904-923.
View publication via DOI: DOI:10.1177/0898264317698551
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Elliot, A. J., Turiano, N. A., & Chapman, B. P. (2017). Socioeconomic status interacts with conscientiousness and neuroticism to predict circulating concentrations of inflammatory markers. Annals of Behavioral Medicine, 51(2), 240-250.
View publication via DOI: DOI:10.1007/s12160-016-9847-z
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Elliot, A. J., Turiano, N. A., Infurna, F. J., Lachman, M. E., & Chapman, B. P. (2018). Lifetime trauma, perceived control, and all-cause mortality: Results from the Midlife in the United States study. Health Psychology, 37(3), 262-270.
View publication via DOI: DOI:10.1037/hea0000585
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Ellis, E. M., Nelson, W. L., & Ferrer, R. A. (2018). Trajectories of current and predicted satisfaction with one's life following a cancer diagnosis. Annals of Behavioral Medicine, 53(2), 158-168.
View publication via DOI: DOI:10.1093/abm/kay025
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Ellis, E. M., Prather, A. A., Grenen, E. G., & Ferrer, R. A. (2019). Direct and indirect associations of cognitive reappraisal and suppression with disease biomarkers. Psychology & Health, 34(3), 336-354.
View publication via DOI: DOI:10.1080/08870446.2018.1529313
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Ellison, C. G., Bradshaw, M., & Roberts, C. A. (2012). Spiritual and religious identities predict the use of complementary and alternative medicine among US adults. Preventive Medicine, 24(1), 173-186.
View publication via DOI: DOI:10.1016/j.ypmed.2011.08.029
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Elran-Barak, R., & Segel-Karpas, D. (2020). Dieting for weight-control among older adults: The role of perceived health and perceived overweight status. Eating Behaviors, 36, Article 101368.
View publication via DOI: DOI:10.1016/j.eatbeh.2020.101368
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Ennis, S. K., Gehring, M., & Wurm, S. (2025). Historical cohort differences in views on aging in the US: A trend toward longer midlife but older felt age. Research on Aging, 47(3-4), 167-180.
View publication via DOI: DOI:10.1177/01640275241290279
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Erema, V. V., Yakovchik, A. Y., Kashtanova, D. A., Bochkaeva, Z. V., Ivanov, M. V., Sosin, D. V., Matkava, L. R., Yudin, V. S., Makarov, V. V., Keskinov, A. A., Kraevoy, S. A., & Yudin, S. M. (2022). Biological age predictors: The status quo and future trends. International Journal of Molecular Sciences, 23(23), Article 15103.
View publication via DOI: DOI:10.3390/ijms232315103
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Estill, A., Mock, S. E., Schryer, E., & Eibach, R. P. (2018). The effects of subjective age and aging attitudes on mid- to late-life sexuality. Journal of Sex Research, 55(2), 146-151.
View publication via DOI: DOI:10.1080/00224499.2017.1293603
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Ettner, S. (2000). The relationship between labor market outcomes and mental and physical health: Exogenous human capital or endogenous health production? In D. S. Salkever & A. Sorkin (Eds.), Research in Human Capital and Development. (13 ed., Vol. 13, pp. 1-31). Stamford, CT.: JAI Press.
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Ettner, S. L. (1999). The relationship between the continuity of care and the health behaviors of patients: Does having a usual physician make a difference? Medical Care, 37(6), 547-555.
View publication via DOI: DOI:10.1097/00005650-199906000-00004
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Ettner, S. L., & Grzywacz, J. G. (2001). Workers' perceptions of how jobs affect health: A social ecological perspective. Journal of Occupational Health Psychology, 6(2), 101-113.
View publication via DOI: DOI:10.1037/1076-8998.6.2.101
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Eyre, H. A., & Baune, B. T. (2014). Assessing for unique immunomodulatory and neuroplastic profiles of physical activity subtypes: A focus on psychiatric disorders. Brain, Behavior, and Immunity, 39, 42-55.
View publication via DOI: DOI:10.1016/j.bbi.2013.10.026
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Fassbender, K., Wiebe, A., & Bates, T. C. (2019). Physical and cultural inheritance enhance agency, but what are the origins of this concern to establish a legacy? A nationally-representative twin study of Erikson's concept of generativity. Behavior Genetics, 49(2), 244-257.
View publication via DOI: DOI:10.1007/s10519-018-9943-x
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Fearn, K., & Bhattacharyya, K. K. (2024). Is use of psychedelic drugs a risk or protective factor for late-life cognitive decline? Gerontology and Geriatric Medicine, 10, 1-9.
View publication via DOI: DOI:10.1177/23337214241250108
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Felson, J (2014). What can We learn from twin studies? A comprehensive evaluation of the Equal Environments Assumption. Social Science Research, 43, 184-199.
View publication via DOI: DOI:10.1016/j.ssresearch.2013.10.004
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Feng, Y., & Hancock, G. R. (2024). A structural equation modeling approach for modeling variability as a latent variable. Psychological Methods, 29(2), 262-286.
View publication via DOI: DOI:10.1037/met0000477
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Fernandes, C. R., Yu, S., Howell, T. M., Wood Brooks, A., Kilduff, G. J., & Pettit, N. C. (2021). What is your status portfolio? Higher status variance across groups increases interpersonal helping but decreases intrapersonal well-being. Organizational Behavior and Human Decision Processes, 165, 56-75.
View publication via DOI: DOI:10.1016/j.obhdp.2021.04.002
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Ferraro, K. F., Schafer, M. H., & Wilkinson, L. R. (2016). Childhood disadvantage and health problems in middle and later life: Early imprints on physical health? American Sociological Review, 81(1), 107-133.
View publication via DOI: DOI:10.1177/0003122415619617
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Ferrer, R., Orehek, E., Scheier, M. F., & O'Connell, M. E. (2018). Cigarette tax rates, behavioral disengagement, and quit ratios among daily smokers. Journal of Economic Psychology, 66, 13-21.
View publication via DOI: DOI:10.1016/j.joep.2018.03.005
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Ferrie, J. E., Virtanen, M., Jokela, M., Madsen, I. E. H., Heikkila, K., Alfredsson, L., ... Kivimaki, M. (2016). Job insecurity and risk of diabetes: A meta-analysis of individual participant data. Canadian Medical Association Journal, 188(17-18), E447-E455.
View publication via DOI: DOI:10.1503/cmaj.150942
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Fettro, M. N., & Nomaguchi, K. (2018). Spousal problems and family-to-work conflict among employed US adults. Journal of Family and Economic Issues, 39, 277-296.
View publication via DOI: DOI:10.1007/s10834-017-9555-2
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Fieder, M., & Huber, S. (2021). Fertility outcomes, heritability and genomic associations of in-group preference and in-group marriage. Twin Research and Human Genetics, 24(5), 264-272.
View publication via DOI: DOI:10.1017/thg.2021.48
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Fieder, M., & Huber, S. (2021). The evolutionary biology of religious behavior. Interdisciplinary Journal for Religion and Transformation in Contemporary Society, 7(1), 303-334.
View publication via DOI: DOI:10.30965/23642807-bja10014
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Figueredo, A. J., & Rushton, J. P. (2009). Evidence for shared genetic dominance between the general factor of personality, mental and physical health, and life history traits. Twin Research and Human Genetics, 12(6), 555-563.
View publication via DOI: DOI:10.1375/twin.12.6.555
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Figueredo, A. J., Vasquez, G., Brumbach, B. H., & Schneider, S. M. (2004). The heritability of life history strategy: The K-factor, covitality, and personality. Soc Biol, 51(3-4), 121-143.
View publication via DOI: DOI:10.1080/19485565.2004.9989090
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Figueredo, A. J., Vasquez, G., Brumbach, B. H., & Schneider, S. M. R. (2007). The K-factor, covitality, and personality: A psychometric test of life history theory. Human Nature, 18(1), 47-73.
View publication via DOI: DOI:10.1007/BF02820846
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Figueredo, A. J., Woodley, M. A., Brown, S. D., & Ross, K. C. (2013). Multiple successful tests of the Strategic Differentiation-Integration Effort (SD-IE) hypothesis. Journal of Social, Evolutionary & Cultural Psychology, 7(4), 361-383.
View publication via DOI: DOI:10.1037/h0099182
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Figueredo, A., Cabeza De Baca, T., & Richardson, G. (2021). Hybrid behavior-genetic models of the confounding gene-environment correlations in the development of life history strategy: Two convergent approaches. Journal of Methods and Measurement in the Social Sciences, 11, 1-24.
View publication via DOI: DOI:10.2458/v11i1.23914
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