MIDUS Publications Database Search
This search provides access to bibliographies of publications that use MIDUS data.
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Number of hits: 2106
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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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Raldiris, T. L., Perez, E., Donovan, E. K., & Dzierzewski, J. M. (2021). Cognitive control beliefs and cognitive functioning in mid- to late-life. British Journal of Developmental Psychology, 39(2), 269-281.
View publication via DOI: DOI:10.1111/bjdp.12357
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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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Ransome, Y., Slopen, N., Karlsson, O., & Williams, D. R. (2018). Elevated inflammation in association with alcohol abuse among blacks but not whites: Results from the midus biomarker study. Journal of Behavioral Medicine, 41(3), 374-384.
View publication via DOI: DOI:10.1007/s10865-017-9905-4
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Rastkar, M., & Jalalifar, E. (2023). The association between marital quality and diabetes mellitus: A systematic review. Health Science Reports, 6(2), Article e1106.
View publication via DOI: DOI:10.1002/hsr2.1106
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Rauvola, R. S., & Rudolph, C. W. (2023). Worker aging, control, and well-being: A specification curve analysis. Acta Psychologica, 233, Article 103833.
View publication via DOI: DOI:10.1016/j.actpsy.2023.103833
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Ravyts, S. G., Dzierzewski, J. M., Raldiris, T., & Perez, E. (2019). Sleep and pain interference in individuals with chronic pain in mid- to late-life: The influence of negative and positive affect. Journal of Sleep Research, 28(4), Article e12807.
View publication via DOI: DOI:10.1111/jsr.12807
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Raymond, A., Grzywacz, J. G., & Robertson, A. M. (2022). Job demand-control and hypertension in African Americans and non-African Americans. Society and Mental Health, 13(2), 131-150.
View publication via DOI: DOI:10.1093/pubmed/fdac063
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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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Rector, J. L., Christ, S. L., & Friedman, E. M. (2019). Well-being and long-term physical activity participation in midlife adults: A latent class analysis. Annals of Behavioral Medicine, 53(1), 53-64.
View publication via DOI: DOI:10.1093/abm/kay016
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Rector, J. L., Marceau, K., & Friedman, E. M. (2020). Moderation of the association between chronic medical conditions and functional limitations over time by physical activity: Effects of age. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 75(1), 168-174.
View publication via DOI: DOI:10.1093/gerona/glz020
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Rector, J. L., Tay, L., Wiese, C. W., & Friedman, E. M. (2019). Relative sensitivity of cortisol indices to psychosocial and physical health factors. PLoS ONE, 14(4), 1-15.
View publication via DOI: DOI:10.1371/journal.pone.0213513
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Reed, R. G., Mauss, I. B., Ram, N., & Segerstrom, S. C. (2022). Daily stressors, emotion dynamics, and inflammation in the MIDUS cohort. International Journal of Behavioral Medicine, 29, 494-505.
View publication via DOI: DOI:10.1007/s12529-021-10035-9
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Reid, B., & Danese, A. (2020). Challenges in researching the immune pathways between early life adversity and psychopathology. Development and Psychopathology, 32(5), 1597-1624.
View publication via DOI: DOI:10.1017/S0954579420001157
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