biomarkers

- Number of publications: 272

Agrigoroaei, S., Robinson, S. A., Hughes, M. L., Rickenbach, E. H., & Lachman, M. E. (2018). Cognition at midlife: Antecedents and consequences. 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

Almeida, D. M., Piazza, J. R., & Stawski, R. S. (2009). Interindividual differences and intraindividual variability in the cortisol awakening response: An examination of age and gender. Psychology and Aging, 24(4), 819-827.
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View publication via DOI: DOI:10.1037/a0017910

Almeida, D. M., Piazza, J. R., Stawski, R. S., & Klein, L. C. (2011). The speedometer of life: Stress, health and aging. In K. W. Schaie & S. L. Willis (Eds.), Handbook of the psychology of aging (7th ed.). San Diego, CA: Academic Press.
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Almeida, D.M., McGonagle, K., & King, H.A. (2009). Assessing daily stress processes in social surveys by combining stressor exposure and salivary cortisol. Biodemography and Social Biology, 55(2), 219-237.
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View publication via DOI: DOI:10.1080/19485560903382338

Amaral, W. Z., Krueger, R. F., Ryff, C. D., & Coe, C. L. (2015). Genetic and environmental determinants of population variation in interleukin-6, its soluble receptor and C-reactive protein: Insights from identical and fraternal twins. Brain, Behavior, and Immunity, 49, 171-181.
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View publication via DOI: DOI:10.1016/j.bbi.2015.05.010

Barker, E. T., Greenberg, J. S., Seltzer, M. M., & Almeida, D. M. (2012). Daily stress and cortisol patterns in parents of adult children with a serious mental illness. Health Psychology, 31(1), 130-134.
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View publication via DOI: DOI:10.1037/a0025325

Bei, B., Seeman, T. E., Carroll, J. E., & Wiley, J. F. (2017). Sleep and physiological dysregulation: A closer look at sleep intraindividual variability. Sleep, 40(9), zsx109.
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View publication via DOI: DOI:10.1093/sleep/zsx109

Birditt, K. S., Cichy, K. E., & Almeida, D. (2011). Age differences in exposure and reactivity to interpersonal tensions among Black and White individuals across adulthood. Race and Social Problems, 3(3), 225-239.
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View publication via DOI: DOI:10.1007/s12552-011-9058-y

Birditt, K. S., Nevitt, M. R., & Almeida, D. M. (2015). Daily interpersonal coping strategies: Implications for self-reported well-being and cortisol. Journal of Social and Personal Relationships, 32(5), 687-706.
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View publication via DOI: DOI:10.1177/0265407514542726

Boehm, J. K. (2018). The road to positive health: Behavioral and biological pathways linking positive psychological functioning with health outcomes. 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

Boehm, J. K., Chen, Y., Williams, D. R., Ryff, C. D., & Kubzansky, L. D. (2016). Subjective well-being and cardiometabolic health: An 8-11 year study of midlife adults. Journal of Psychosomatic Research, 85, 1-8.
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View publication via DOI: DOI:10.1016/j.jpsychores.2016.03.018

Boehm, J. K., Williams, D. R., Rimm, E. B., Ryff, C., & Kubzansky, L. D. (2013). Relation between optimism and lipids in midlife. The American Journal of Cardiology, 111(10), 1425-1431.
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View publication via DOI: DOI:10.1016/j.amjcard.2013.01.292

Boehm, J. K., Williams, D. R., Rimm, E., Ryff, C. D., & Kubzansky, L. D. (2013). The association between optimism and serum antioxidants in the Midlife in the United States Study. Psychosomatic Medicine, 75(1), 2-10.
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View publication via DOI: DOI:10.1097/PSY.0b013e31827c08a9

Bogg, T., & Slatcher, R. B. (2015). Activity mediates conscientiousness' relationship to diurnal cortisol slope in a national sample. Health Psychology, 34(12), 1195-1199.
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View publication via DOI: DOI:10.1037/hea0000243

Boylan, J. M., & Robert, S. A. (2017). Neighborhood SES is particularly important to the cardiovascular health of low SES individuals. Social Science & Medicine, 188, 60-68.
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View publication via DOI: DOI:10.1016/j.socscimed.2017.07.005

Boylan, J. M., & Ryff, C. D. (2013). Varieties of anger and the inverse link between education and inflammation: Toward an integrative framework. Psychosomatic Medicine, 75(6), 566-574.
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View publication via DOI: DOI:10.1097/PSY.0b013e31829683bd

Boylan, J. M., & Ryff, C. D. (2015). High anger expression exacerbates the relationship between age and metabolic syndrome. journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 70(1), 77-82.
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View publication via DOI: DOI:10.1093/geronb/gbt092

Boylan, J. M., & Ryff, C. D. (2015). Psychological well-being and metabolic syndrome: Findings from the Midlife in the United States national sample. Psychosomatic Medicine, 77(5), 548-558.
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View publication via DOI: DOI:10.1097/psy.0000000000000192

Boylan, J. M., Coe, C. L., & Ryff, C. D. (2018). Social inequalities, psychological risk and resilience, and health. 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

Boylan, J. M., Lewis, T. T., Coe, C. L., & Ryff, C. D. (2015). Educational status, anger, and inflammation in the MIDUS national sample: Does race matter? Annals of Behavioral Medicine, 49(4), 570-578.
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View publication via DOI: DOI:10.1007/s12160-015-9687-2

Boylan, J. M., Tsenkova, V. K., Miyamoto, Y., & Ryff, C. D. (2017). Psychological resources and glucoregulation in Japanese adults: Findings from MIDJA. Health Psychology, 36(5), 449-457.
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View publication via DOI: DOI:10.1037/hea0000455

Brindle, R. C., Yu, L., Buysse, D. J., & Hall, M. H. (2019). Empirical derivation of cut-off values for the sleep health metric and its relationship to cardiometabolic morbidity: Results from the Midlife in the United States (MIDUS) study. Sleep. Advance online publication.
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View publication via DOI: DOI:10.1093/sleep/zsz116

Brooks, K. P., Gruenewald, T. L., Karlamangla, A., Hu, P., Koretz, B., & Seeman, T. E. (2014). Social relationships and allostatic load in the MIDUS Study. Health Psychology, 33(11), 1373-1381.
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View publication via DOI: DOI:10.1037/a0034528

Campbell, J. A., Mendez, C. E., Garacci, E., Walker, R. J., Wagner, N., & Egede, L. E. (2018). The differential impact of adverse childhood experiences in the development of pre-diabetes in a longitudinal cohort of US adults. Journal of Diabetes & its Complications, 32(11), 1018-1024.
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View publication via DOI: DOI:10.1016/j.jdiacomp.2018.09.006

Carr, D., & Mouzon, D. M. (2018). Intimate partner relationships and health. 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

Carroll, J. E., Irwin, M. R., Merkin, S. S., & Seeman, T. E. (2015). Sleep and multisystem biological risk: A population-based study. PLoS ONE, 10(2), e0118467.
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View publication via DOI: DOI:10.1371/journal.pone.0118467

Chen, D. G., Lin, F., Chen, X. J., Tang, W., & Kitzman, H. (2014). Cusp catastrophe model: A nonlinear model for health outcomes in nursing research. Nursing Research, 63(3), 211-220.
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View publication via DOI: DOI:10.1097/nnr.0000000000000034

Chen, E., Miller, G. E., Lachman, M. E., Gruenewald, T. L., & Seeman, T. E. (2012). Protective factors for adults from low-childhood socioeconomic circumstances: The benefits of shift-and-persist for allostatic load. Psychosomatic Medicine, 74(2), 178-186.
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View publication via DOI: DOI:10.1097/PSY.0b013e31824206fd

Chen, Y., Kawachi, I., Berkman, L. F., Trudel-Fitzgerald, C., & Kubzansky, L. D. (2018). A prospective study of marital quality and body weight in midlife. Health Psychology, 37(3), 247-256.
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View publication via DOI: DOI:10.1037/hea0000589

Chen, Y., Kawachi, I., Berkman, L. F., Trudel-Fitzgerald, C., & Kubzansky, L. D. (2019). Does optimal parenting style help offspring maintain healthy weight into mid-life? Preventive Medicine, 123, 84-90.
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View publication via DOI: DOI:10.1016/j.ypmed.2019.03.001

Chirinos, D. A., Murdock, K. W., LeRoy, A. S., & Fagundes, C. (2017). Depressive symptom profiles, cardio-metabolic risk and inflammation: Results from the MIDUS study. Psychoneuroendocrinology, 82, 17-25.
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View publication via DOI: DOI:10.1016/j.psyneuen.2017.04.011

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.
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View publication via DOI: DOI:10.1016/j.sleh.2016.10.003

Clobert, M., Sims, T. L., Yoo, J., Miyamoto, Y., Markus, H. R., Karasawa, M., & Levine, C. S. ( (2019). Feeling excited or taking a bath: Do distinct pathways underlie the positive affect-health link in the U.S. and Japan? Emotion. Advance online publication.
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View publication via DOI: DOI:10.1037/emo0000531

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.
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View publication via DOI: DOI:10.1016/j.bbi.2010.11.013

Cohen, M., Granger, S., & Fuller-Thomson, E (2015). The association between bereavement and biomarkers of inflammation. Behavioral Medicine, 42(1), 49-59.
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View publication via DOI: DOI:10.1080/08964289.2013.866539

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.
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View publication via DOI: DOI:10.1016/j.bbi.2014.12.017

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.
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View publication via DOI: DOI:10.1177/0898264314538661

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.
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View publication via DOI: DOI:10.1037/a0027018

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.
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View publication via DOI: DOI:10.1007/s11357-015-9808-7

Craig, C. M., Neilson, B. N., Klein, M. I., & Overbeek, R. W. (2019). Self-reported nature exposure and its association with well-being as measured with affect and cognition. Visions for Sustainability, 11, 83-84.
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View publication via DOI: DOI:10.13135/2384-8677/3380

Craig, C., Menon, C. V., & Klein, M. I. (2015). A positive relationship between nature appreciation, emotional functioning, and perception of work value. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 59(1), 1061-1065.
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View publication via DOI: DOI:10.1177/1541931215591298

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.
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View publication via DOI: DOI:10.1007/s00198-014-2990-0

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.
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View publication via DOI: DOI:10.1016/j.bone.2012.04.009

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.
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View publication via DOI: DOI:10.1007/s00198-011-1736-5

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.].
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View publication via DOI: DOI:10.1097/PSY.0000000000000415

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.
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View publication via DOI: DOI:10.1177/0164027515593345

Crowley, O. V., McKinley, P. S., Burg, M. M., Schwartz, J. E., Ryff, C. D., Weinstein, M., Seeman, T. E., & Sloan, R. P. (2011). The interactive effect of change in perceived stress and trait anxiety on vagal recovery from cognitive challenge. International Journal of Psychophysiology, 82(3), 225-232.
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View publication via DOI: DOI:10.1016/j.ijpsycho.2011.09.002

Cuevas, A., & Williams, D. R. (2018). Perceived discrimination and health: Integrative findings. 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

Cukic, I., & Bates, T. C. (2014). Openness to experience and aesthetic chills: Links to heart rate sympathetic activity. Personality and Individual Differences, 64, 152-156.
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View publication via DOI: DOI:10.1016/j.paid.2014.02.012

Cukic, I., & Bates, T. C. (2015). The association between neuroticism and heart rate variability is not fully explained by cardiovascular disease and depression. PLoS One, 10(5), e0125882.
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View publication via DOI: DOI:10.1371/journal.pone.0125882

Curtis, D. S., Fuller-Rowell, T. E., El-Sheikh, M., Carnethon, M. R., & Ryff, C. D. (2017). Habitual sleep as a contributor to racial differences in cardiometabolic risk. Proceedings of the National Academy of Sciences, 114(33), 8889-8894.
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View publication via DOI: DOI:10.1073/pnas.1618167114

de Geus, E. J. C., Gianaros, P. J., Brindle, R. C., Jennings, J. R., & Berntson, G. G. (2018). Should heart rate variability be "corrected" for heart rate? Biological, quantitative, and interpretive considerations. Psychophysiology, 56(2), e13287.
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View publication via DOI: DOI:10.1111/psyp.13287

Deighton, S., Neville, A., Pusch, D., & Dobson, K. (2018). Biomarkers of Adverse Childhood Experiences: A scoping review. Psychiatry Research, 269. 719-732.
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View publication via DOI: DOI:10.1016/j.psychres.2018.08.097

Devine, J. K., & Wolf, J. M. (2016). Integrating nap and night-time sleep into sleep patterns reveals differential links to health-relevant outcomes. Journal of Sleep Research, 25(2), 225-233.
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View publication via DOI: DOI:10.1111/jsr.12369

Dmitrieva, N. O., Almeida, D. M., Dmitrieva, J., Loken, E., & Pieper, C. F. (2013). A day-centered approach to modeling cortisol: Diurnal cortisol profiles and their associations among U.S. Adults. Psychoneuroendocrinology, 38(10), 2354-2365.
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View publication via DOI: DOI:10.1016/j.psyneuen.2013.05.003

Donoho, C. J., Crimmins, E. M., & Seeman, T. E. (2013). Marital quality, gender, and markers of inflammation in the MIDUS cohort. Journal of Marriage and Family, 75(1), 127-141.
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View publication via DOI: DOI:10.1111/j.1741-3737.2012.01023.x

Donoho, C. J., Seeman, T. E., Sloan, R. P., & Crimmins, E. M. (2015). Marital status, marital quality, and heart rate variability in the MIDUS cohort. Journal of Family Psychology, 29(2), 290-295.
View publication via DOI: DOI:10.1037/fam0000068

Doyle, D. M., & Molix, L. (2014). Perceived discrimination as a stressor for close relationships: Identifying psychological and physiological pathways. Journal of Behavioral Medicine, 37(6), 1134-1144.
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View publication via DOI: DOI:10.1007/s10865-014-9563-8

Eisenlohr-Moul, T., & Segerstrom, S. (2013). Autonomy, positive relationships, and IL-6: Evidence for gender-specific effects. British Journal of Health Psychology, 18(2), 420-438.
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View publication via DOI: DOI:10.1111/j.2044-8287.2012.02085.x

Elliot, A. J., & Chapman, B. P. (2016). Socioeconomic status, psychological resources, and inflammatory markers: Results from the MIDUS study. Health Psychology, 35(11), 1205-1213.
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View publication via DOI: DOI:10.1037/hea0000392

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.
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View publication via DOI: DOI:10.1177/0898264317698551

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.
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View publication via DOI: DOI:10.1007/s12160-016-9847-z

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.
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View publication via DOI: DOI:10.1080/08870446.2018.1529313

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.
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View publication via DOI: DOI:10.1016/j.bbi.2013.10.026

Ford, M. T. (2014). Perceived unfairness at work, social and personal resources, and resting blood pressure. Stress and Health, 30(1), 12-22.
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View publication via DOI: DOI:10.1002/smi.2491

French, K. A., Allen, T. D., & Henderson, T. G. (2019). Challenge and hindrance stressors and metabolic risk factors. Journal of Occupational Health Psychology, 222, 145-153.
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View publication via DOI: DOI:10.1037/ocp0000138

Friedman, E. M. (2011). Sleep quality, social well-being, gender, and inflammation: An integrative analysis in a national sample. Annals of the New York Academy of Sciences, 1231(1), 23-34.
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View publication via DOI: DOI:10.1111/j.1749-6632.2011.06040.x

Friedman, E. M., & Herd, P. (2010). Income, education, and inflammation: Differential associations in a national probability sample (the MIDUS study). Psychosomatic Medicine, 72, 290-300.
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View publication via DOI: DOI:10.1097/PSY.0b013e3181cfe4c2

Friedman, E. M., & Ryff, C. D. (2012). Living well with medical comorbidities: A biopsychosocial perspective. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 67(5), 535-544.
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View publication via DOI: DOI:10.1093/geronb/gbr152

Friedman, E. M., Christ, S. L., & Mroczek, D. K. (2015). Inflammation partially mediates the association of multimorbidity and functional limitations in a national sample of middle-aged and older adults: The MIDUS study. Journal of Aging and Health, 27(5), 843-863.
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View publication via DOI: DOI:10.1177/0898264315569453

Friedman, E. M., Karlamangla, A. S., Almeida, D. M., & Seeman, T. E. (2012). Social strain and cortisol regulation in Midlife in the US. Social Science & Medicine, 74(4), 607-615.
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View publication via DOI: DOI:10.1016/j.socscimed.2011.11.003

Friedman, E. M., Karlamangla, A. S., Gruenewald, T., & Seeman, T. E. (2015). Early life adversity and adult biological risk profiles Psychosomatic Medicine, 77(2), 176-185.
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View publication via DOI: DOI:10.1097/PSY.0000000000000147

Friedman, E. M., Mroczek, D. K., & Christ, S. L. (2019). Multimorbidity, inflammation, and disability: A longitudinal mediational analysis. Therapeutic Advances in Chronic Disease, 10, 1-10.
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View publication via DOI: DOI:10.1177/2040622318806848

Friedman, E., Lebreton, B., Fuzzell, L., & Wehrspann, E. (2018). Biopsychosocial patterning of multimorbidity and its consequences. 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

Friedman, E.M., Williams, D.R., Singer, B.H., & Ryff, C.D. (2009). Chronic discrimination predicts higher circulating levels of E-selectin in a national sample: The MIDUS study. Brain, Behavior & Immunity, 23(5), 684-692.
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View publication via DOI: DOI:10.1016/j.bbi.2009.01.002

Fuller-Rowell, T. E., Curtis, D. S., & Duke, A. M. (2018). Disparities in health between Black and White Americans: Current knowledge and directions for future research. 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

Fuller-Rowell, T. E., Curtis, D. S., El-Sheikh, M., Chae, D. H., Boylan, J. M., & Ryff, C. D. (2016). Racial disparities in sleep: The role of neighborhood disadvantage. Sleep Medicine, 27-28, 1-8.
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View publication via DOI: DOI:10.1016/j.sleep.2016.10.008

Fuller-Rowell, T. E., Doan, S. N., & Eccles, J. S. (2012). Differential effects of perceived discrimination on the diurnal cortisol rhythm of African Americans and Whites. Psychoneuroendocrinology, 37(1), 107-118.
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View publication via DOI: DOI:10.1016/j.psyneuen.2011.05.011

Fuller-Rowell, T. E., Homandberg, L. K., Curtis, D. S., Tsenkova, V. K., Williams, D. R., & Ryff, C. D. (2019). Disparities in insulin resistance between black and white adults in the United States: The role of lifespan stress exposure. Psychoneuroendocrinology, 107, 1-8.
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View publication via DOI: DOI:10.1016/j.psyneuen.2019.04.020

Fuller-Rowell, T. E., Love, G. D., Williams, D. R., McKinely, P. S., Sloan, R. P., & Ryff, C. D. (2013). Race differences in age trends of autonomic nervous system functioning. Journal of Aging and Health, 25(5), 839-862.
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View publication via DOI: DOI:10.1177/0898264313491427

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