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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):

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Number of hits: 2106

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Sorjonen, K., Melin, B., & Nilsonne, G. (2024). Spurious heritability of ability tilts: A comment on Coyle et al. (2023). Personality and Individual Differences, 217, Article 112471.
View publication via DOI: DOI:10.1016/j.paid.2023.112471
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Souama, C., Lamers, F., Milaneschi, Y., Vinkers, C. H., Defina, S., Garvert, L., Stein, F., Woofenden, T., Brosch, K., Dannlowski, U., Galenkamp, H., de Graaf, R., Jaddoe, V. W. V., Lok, A., van Rijn, B. B., Volzke, H., Cecil, C. A. M., Felix, J. F., Grab (2023). Depression, cardiometabolic disease, and their co-occurrence after childhood maltreatment: An individual participant data meta-analysis including over 200,000 participants. BMC Medicine, 21(1), Article 93.
View publication via DOI: DOI:10.1186/s12916-023-02769-y
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South, S. C., & Jarnecke, A. M. (2015). Genetic and environmental influences on adult mental health: Evidence for gene-environment interplay as a function of maternal and paternal discipline and affection. Behavior Genetics, 45(4), 438-450.
View publication via DOI: DOI:10.1007/s10519-015-9716-8
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South, S. C., & Krueger, R. F. (2011). Genetic and environmental influences on internalizing psychopathology vary as a function of economic status. Psychological Medicine, 41(1), 107-117.
View publication via DOI: DOI:10.1017/S0033291710000279
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South, S. C., & Krueger, R. F. (2013). Marital satisfaction and physical health: Evidence for an orchid effect. Psychological Science, 24(3), 373-378.
View publication via DOI: DOI:10.1177/0956797612453116
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South, S. C., & Krueger, R. F. (2014). Genetic strategies for probing conscientiousness and its relationship to aging. Developmental Psychology, 50(5), 1362-1376.
View publication via DOI: DOI:10.1037/a0030725
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South, S. C., Hamdi, N., & Krueger, R. F. (2017). Biometric modeling of gene-environment interplay: The intersection of theory and method and applications for social inequality. Journal of Personality, 85(1), 22-37.
View publication via DOI: DOI:10.1111/jopy.12231
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South, S. C., Jarnecke, A. M., & Vize, C. E. (2018). Sex differences in the Big Five model personality traits: A behavior Genetics exploration. Journal of Research in Personality, 74, 158-165.
View publication via DOI: DOI:10.1016/j.jrp.2018.03.002
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South, S. C., Mann, F. D., & Krueger, R. F. (2021). Marital satisfaction as a moderator of molecular genetic influences on mental health. Clinical Psychological Science, 9(4), 719-731.
View publication via DOI: DOI:10.1177/2167702620985152
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South, S. C., Schafer, M. H., & Ferraro, K. F. (2015). Genetic and environmental overlap between childhood maltreatment and adult physical health. Twin Research and Human Genetics, 18(5), 533-544.
View publication via DOI: DOI:10.1017/thg.2015.62
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South, S.C., & Krueger, R.F. (2008). Marital quality moderates genetic and environmental influences on the internalizing spectrum. Journal of Abnormal Psychology, 117(4), 826-837.
View publication via DOI: DOI:10.1037/a0013499
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Spahlholz, J., Baer, N., Konig, H. H., Riedel-Heller, S. G., & Luck-Sikorski, C. (2016). Obesity and discrimination- a systematic review and meta-analysis of observational studies. Obesity Reviews, 17(1), 43-55.
View publication via DOI: DOI:10.1111/obr.12343
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Spears, S. K., Montgomery-Downs, H. E., Steinman, S., Duggan, K., & Turiano, N. A. (2019). Sleep: A pathway linking personality to mortality risk. Journal of Research in Personality, 81, 11-24.
View publication via DOI: DOI:10.1016/j.jrp.2019.04.007
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Springer, K. W., Pudrovska, T., & Hauser, R. M. (2011). Does psychological well-being change with age? Longitudinal tests of age variations and further exploration of the multidimensionality of Ryff's model of psychological well-being. Social Science Research, 40(1), 392-398.
View publication via DOI: DOI:10.1016/j.ssresearch.2010.05.008
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Springer, K.W., & Hauser, R.M. (2006). An assessment of the construct validity of Ryff's Scales of Psychological Well-Being: Method, mode, and measurement effects. Social Science Research, 35, 1080-1102.
View publication via DOI: DOI:10.1016/j.ssresearch.2005.07.004
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Srikanthan, P., Crandall, C. J., Miller-Martinez, D., Seeman, T. E., Greendale, G. A., Binkley, N., & Karlamangla, A. S. (2014). Insulin resistance and bone strength. Findings from the study of Midlife in the United States. Journal of Bone and Mineral Research, 9(4), 796-803.
View publication via DOI: DOI:10.1002/jbmr.2083
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Srirangarajan, T., Oshio, A., Yamaguchi, A., & Akutsu, S (2020). Cross-cultural nomological network of gratitude: Findings from Midlife in the United States (MIDUS) and Japan (MIDJA). Frontiers in psychology, 11, Article 571.
View publication via DOI: DOI:10.3389/fpsyg.2020.00571
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Sriutaisuk, S., Liu, Y., Chung, S., Kim, H., & Gu, F. (2024). Evaluating imputation-based fit statistics in structural equation modeling with ordinal data: The MI2S approach. Educational and Psychological Measurement. Advance online publication.
View publication via DOI: DOI:10.1177/00131644241261271
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Stanton, S. C. E., Selcuk, E., Farrell, A. K., Slatcher, R. B., & Ong, A. D. (2019). Perceived partner responsiveness, daily negative affect reactivity, and all-cause mortality: A 20-year longitudinal study. Psychosomatic Medicine, 81(1), 7-15.
View publication via DOI: DOI:10.1097/PSY.0000000000000618
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Stark, E., & Poppler, P. (2017). Gray, idiosyncratic, and generative: Fathoming the new old workforce. Journal of Organizational Psychology, 17(6), 10-24.
View publication via DOI: DOI:10.33423/jop.v17i6.1509
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Staudinger, U. M., Bluck, S., & Herzberg, P. Y. (2003). Looking back and looking ahead: Adult age differences in consistency of diachronous ratings of subjective well-being. Psychology & Aging, 18(1), 13-24.
View publication via DOI: DOI:10.1037/0882-7974.18.1.13
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Staudinger, U. M., Fleeson, W., & Baltes, P. B. (1999). Predictors of subjective physical health and global well-being during midlife: Similarities and differences between the U.S. and Germany. Journal of Personality and Social Psychology, 76(2), 305-319.
View publication via DOI: DOI:10.1037/0022-3514.76.2.305
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Stawski, R. S., Almeida, D. M., Lachman, M. E., Tun, P. A., Rosnick, C. B., & Seeman, T. (2011). Associations between cognitive function and naturally occurring daily cortisol during middle adulthood: Timing is everything. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 66B(suppl 1), i71-i81.
View publication via DOI: DOI:10.1093/geronb/gbq094
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Stawski, R. S., Cichy, K. E., Piazza, J. R., & Almeida, D. M. (2013). Associations among daily stressors and salivary cortisol: Findings from the National Study of Daily Experiences. Psychoneuroendocrinology, 38(11), 2654-2665.
View publication via DOI: DOI:10.1016/j.psyneuen.2013.06.023
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Stawski, R. S., Cichy, K. E., Witzel, D. D., Schuyler, A. C., & Nichols, M. J. (2023). Daily stress processes as potential intervention targets to reduce gender differences and improve mental health outcomes in mid- and later life. Prevention Science, 24, 876-886.
View publication via DOI: DOI:10.1007/s11121-022-01444-7
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Stawski, R. S., Scott, S. B., Zawadzki, M. J., Sliwinski, M. J., Marcusson-Clavertz, D., Kim, J., Lanza, S. T., Green, P. A., Almeida, D. M., & Smyth, J. M. (2019). Age differences in everyday stressor-related negative affect: A coordinated analysis. Psychology and Aging, 34(1), 91-105.
View publication via DOI: DOI:10.1037/pag0000309
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Stawski, R.S., Almeida, D.M., Lachman, M.E., Tun, P.A., & Rosnick, D.B. (2010). Fluid cognitive ability is associated with greater exposure and smaller reactions to daily stressors. Psychology & Aging, 25(2), 330-342.
View publication via DOI: DOI:10.1111/j.1533-8525.2009.01167.x
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Stearns, M. A., & Nadorff, D. K. (2020). The moderation of raising one's grandchildren on the relation between sleep and depressive symptoms. Nature and Science of Sleep, 12, 615-626.
View publication via DOI: DOI:10.2147/NSS.S247568
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Stepanikova, I., Bateman, L. B., & Oates, G. R. (2017). Systemic inflammation in midlife: Race, socioeconomic status, and perceived discrimination. American Journal of Preventive Medicine, 52(1, Supplement 1), S63-S76.
View publication via DOI: DOI:10.1016/j.amepre.2016.09.026
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Stepanikova, I., Oates, G. R., & Bateman, L. B. (2017). Does one size fit all? The role of body mass index and waist circumference in systemic inflammation in midlife by race and gender. Ethnicity & Health, 22(2), 169-183.
View publication via DOI: DOI:10.1080/13557858.2016.1235681
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