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biomarkers and neuroscience

- Number of publications: 199


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., Stawski, R. S., & Cichy, K. E. (2010). Combining checklist and interview approaches for assessing daily stressors: The Daily Inventory of Stressful Events. In R. J. Contrada & A. Baum (Eds.), The handbook of stress science: Biology, psychology, and health. New York, NY: Springer.

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. Advance online publication.
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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., 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., 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

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

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

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

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.
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View publication via DOI: DOI:10.1117/12.2036497

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., 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.
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View publication via DOI: DOI:10.1177/1541931213601316

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

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

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. (2017). Social relationships and inflammatory markers in the MIDUS cohort. Journal of Aging and Health. Advance online publication.
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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

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

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., 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., 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., 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

Galen Buckwalter, J., Castellani, B., McEwen, B., Karlamangla, A. S., Rizzo, A. A., John, B., O'Donnell, K., & Seeman, T. (2016). Allostatic load as a complex clinical construct: A case-based computational modeling approach. Complexity, 21(S1), 291-306.
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View publication via DOI: DOI:10.1002/cplx.21743

Glei, D. A., Goldman, N., Ryff, C. D., Lin, Y.-H., & Weinstein, M. (2012). Social relationships and inflammatory markers: An analysis of Taiwan and the U.S. Social Science & Medicine, 74(12), 1891-1899.
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View publication via DOI: DOI:0.1016/j.socscimed.2012.02.020

Glei, D. A., Goldman, N., Shkolnikov, V. M., Jdanov, D., Shkolnikov, M., Vaupel, J. W., & Weinstein, M. (2013). Perceived stress and biological risk: Is the linkage stronger in Russians than in Taiwanese and Americans? Stress, 16(4), 411-420.
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View publication via DOI: DOI:10.3109/10253890.2013.789015

Gruenewald, T. L., Karlamangla, A. S., Hu, P., Stein-Merkin, S., Crandall, C., Koretz, B., & Seeman, T. E. (2012). History of socioeconomic disadvantage and allostatic load in later life. Social Science and Medicine, 74(1), 75-83.
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View publication via DOI: DOI:10.1016/j.socscimed.2011.09.037

Hamdi, N. R., South, S. C., & Krueger, R. F. (2016). Does education lower allostatic load? A co-twin control study. Brain, Behavior, and Immunity, 56, 221-229.
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View publication via DOI: DOI:10.1016/j.bbi.2016.01.014

Heller, A. S., van Reekum, C. M., Schaefer, S. M., Lapate, R. C., Radler, B. T., Ryff, C. D., & Davidson, R. J. (2013). Sustained ventral striatal activity predicts eudaimonic well-being and cortisol output. Psychological Science. Advance online publication.
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View publication via DOI: DOI:10.1177/0956797613490744

Hisler, G., & Krizan, Z. (2017). Anger tendencies and sleep: Poor anger control is associated with objectively measured sleep disruption. Journal of Research in Personality, 71, 17-26.
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View publication via DOI: DOI:10.1016/j.jrp.2017.08.009

Hosseinbor, A. P., Chung, M. K., Koay, C. G., Schaefer, S. M., van Reekum, C. M., Schmitz, L. P., Sutterer, M., Alexander, A. L., & Davidson, R. J. (2015). 4D hyperspherical harmonic (HyperSPHARM) representation of surface anatomy: A holistic treatment of multiple disconnected anatomical structures. Medical Image Analysis, 22(1), 89-101.
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View publication via DOI: DOI:10.1016/j.media.2015.02.004

Hosseinbor, A. P., Chung, M. K., Schaefer, S. M., van Reekum, C. M., Peschke-Schmitz, L., Sutterer, M., Alexander, A. L., & Davidson, R. J. (2013). 4D hyperspherical harmonic (HyperSPHARM) representation of multiple disconnected brain subcortical structures. Medical Image Computing and Computer-assisted Intervention, 16(Pt 1), 598-605.
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Hostinar, C. E., Davidson, R. J., Graham, E. K., Mroczek, D. K., Lachman, M. E., Seeman, T. E., van Reekum, C. M., & Miller, G. E. (2016). Frontal brain asymmetry, childhood maltreatment, and low-grade inflammation at midlife. Psychoneuroendocrinology, 75, 152-163.
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View publication via DOI: DOI:10.1016/j.psyneuen.2016.10.026

Hostinar, C. E., Lachman, M. E., Mroczek, D. K., Seeman, T. E., & Miller, G. E. (2015). Additive contributions of childhood adversity and recent stressors to inflammation at midlife: Findings from the MIDUS study. Developmental Psychology, 51(11), 1630-1644.
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View publication via DOI: DOI:10.1037/dev0000049

Human, L. J., Biesanz, J. C., Miller, G. E., Chen, E., Lachman, M. E., & Seeman, T. E. (2013). Is change bad? Personality change is associated with poorer psychological health and greater metabolic syndrome in midlife. Journal of Personality, 81(3), 249-260.
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View publication via DOI: DOI:10.1111/jopy.12002

Javaras, K. N., Schaefer, S. M., van Reekum, C. M., Lapate, R. C., Greischar, L. L., Bachhuber, D. R., Love, G. D., Ryff, C. D., & Davidson, R. J. (2012). Conscientiousness predicts greater recovery from negative emotion. Emotion, 12(5), 875-881.
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View publication via DOI: DOI:10.1037/a0028105

Kang, S., & Marks, N. F. (2014). Filial caregiving is associated with greater neuroendocrine dysfunction: Evidence from the 2005 national Survey of Midlife in the US. SAGE Open Medicine. Advance online publication.
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View publication via DOI: DOI:10.1177/2050312113520152

Karlamangla, A. S., Friedman, E. M., Seeman, T. E., Stawksi, R. S., & Almeida, D. M. (2013). Daytime trajectories of cortisol: Demographic and socioeconomic differences- findings from the National Study of Daily Experiences. Psychoneuroendocrinology, 38, 2585-2597.
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View publication via DOI: DOI:10.1016/j.psyneuen.2013.06.010

Karlamangla, A. S., Miller-Martinez, D., Lachman, M. E., Tun, P. A., Koretz, A., & Seeman, T. M. (2014). Biological correlates of adult cognition: Midlife in the United States (MIDUS). Neurobiology of Aging, 35(2), 387-394.
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View publication via DOI: DOI:10.1016/j.neurobiolaging.2013.07.028

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