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inflammation

- Number of publications: 47


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., 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

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

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

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

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

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

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

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., 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

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

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

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., 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

Kim, T. H., Carroll, J. E., An, S. K., Seeman, T. E., Namkoong, K., & Lee, E. (2016). Associations between actigraphy-assessed sleep, inflammatory markers, and insulin resistance in the Midlife Development in the United States (MIDUS) study. Sleep Medicine, 27-28, 72-79.
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View publication via DOI: DOI:10.1016/j.sleep.2016.07.023

Kitayama, S., Park, J., Boylan, J., Miyamoto, Y., Levine, C., Markus, H. R., Karasawa, M., Coe, C., Kawakami, N., Love, G., & Ryff, C. (2015). Expression of anger and ill health in two cultures: An examination of inflammation and cardiovascular risk Psychological Science, 26(2), 211-220.
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View publication via DOI: DOI:10.1177/0956797614561268

Ko, S. B. (2013). Night shift work, sleep quality, and obesity. Journal of Lifestyle Medicine, 3(2), 110-116.
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Lin, F., Friedman, E., Quinn, J., Chen, D.-G., & Mapstone, M. (2012). Effect of leisure activities on inflammation and cognitive function in an aging sample. Archives of Gerontology and Geriatrics, 54(3), e398-e404.
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View publication via DOI: DOI:10.1016/j.archger.2012.02.002

Luchetti, M., Barkley, J. M., Stephan, Y., Terracciano, A., & Sutin, A. R. (2014). Five-factor model personality traits and inflammatory markers: New data and a meta-analysis. Psychoneuroendocrinology, 50, 181-193.
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View publication via DOI: DOI:10.1016/j.psyneuen.2014.08.014

Miyamoto, Y., Boylan, J. M., Coe, C. L., Curhan, K. B., Levine, C. S., Markus, H. R., Park, J., Kitayama, S., Kawakami, N., Karasawa, M., Love, G. D., & Ryff, C. D. (2013). Negative emotions predict elevated interleukin-6 in the United States but not in Japan. Brain, Behavior, and Immunity, 34, 79-85.
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View publication via DOI: DOI:10.1016/j.bbi.2013.07.173

Mori, T., Karlamangla, A. S., Merkin, S. S., Crandall, C. J., Binkley, N., Greendale, G. A., & Seeman, T. E. (2014). Multi-system dysregulation and bone strength: Finding from the Study of Midlife in the United States. Journal of Clinical Endocrinology and Metabolism, 99(5), 1843-1851.
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View publication via DOI: DOI:10.1210/jc.2013-3908

Morozink, J. A., Friedman, E. M., Coe, C. L., & Ryff, C. D. (2010). Socioeconomic and psychosocial predictors of interleukin-6 in the MIDUS national sample. Health Psychology, 29(6), 626-635.
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View publication via DOI: DOI:10.1037/a0021360

Piazza, J. R., Almeida, D. M., Dmitrieva, N. O., & Klein, L. C. (2010). Frontiers in the use of biomarkers of health in research on stress and aging. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 65B(5), 513-525.
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View publication via DOI: DOI:10.1093/geronb/gbq049

Priest, J. B., Woods, S. B., Maier, C. A., Parker, E. O., Benoit, J. A., & Roush, T. R. (2015). The biobehavioral family model: Close relationships and allostatic load. Social Science & Medicine, 142, 232-240.
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View publication via DOI: DOI:10.1016/j.socscimed.2015.08.026

Schrepf, A., Markon, K., & Lutgendorf, S. K. (2014). From childhood trauma to elevated C-reactive protein in adulthood: The role of anxiety and emotional eating. Psychosomatic Medicine, 76(5), 327-336.
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View publication via DOI: DOI:10.1097/psy.0000000000000072

Seeman, M., Stein Merkin, S., Karlamangla, A., Koretz, B., & Seeman, T. (2014). Social status and biological dysregulation: The "status syndrome" and allostatic load. Social Science & Medicine, 118, 143-151.
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View publication via DOI: DOI:10.1016/j.socscimed.2014.08.002

Shields, G. S., & Moons, W. G. (2016). Avoidance-related EEG asymmetry predicts circulating interleukin-6. Emotion, 16(2), 150-154.
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View publication via DOI: DOI:10.1037/emo0000120

Sin, N. L., Graham-Engeland, J. E., & Almeida, D. M. (2015). Daily positive events and inflammation: Findings from the National Study of Daily Experiences. Brain, Behavior, and Immunity, 43, 130-138.
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View publication via DOI: DOI:10.1016/j.bbi.2014.07.015

Sin, N. L., Graham-Engeland, J. E., Ong, A. D., & Almeida, D. M. (2015). Affective reactivity to daily stressors is associated with elevated inflammation. Health Psychology, 34(12), 1154-1165.
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View publication via DOI: DOI:10.1037/hea0000240

Slopen, N., Lewis, T. T., Gruenewald, T. L., Mujahid, M. S., Ryff, C. D., Albert, M. A., & Williams, D. R. (2010). Early life adversity and inflammation in African Americans and Whites in the Midlife in the United States survey. Psychosomatic Medicine, 42(7), 694-701.
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View publication via DOI: DOI:10.1097/PSY.0b013e3181e9c16f

Song, J., Mailick, M. R., Ryff, C. D., Coe, C. L., Greenberg, J. S., & Hong, J. (2014). Allostatic load in parents of children with developmental disorders: Moderating influence of positive affect. Journal of Health Psychology, 19(2), 262-272.
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View publication via DOI: DOI:10.1177/1359105312468193

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.
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View publication via DOI: DOI:10.1016/j.amepre.2016.09.026

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.
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View publication via DOI: DOI:10.1080/13557858.2016.1235681

Strohacker, K., Wing, R. R., & McCaffery, J. M. (2013). Contributions of body mass index and exercise habits on inflammatory markers: A cohort study of middle-aged adults living in the USA. BMJ Open, 3(5), e002623.
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View publication via DOI: DOI:10.1136/bmjopen-2013-002623

Turiano, N. A., Mroczek, D. K., Moynihan, J., & Chapman, B. P. (2013). Big 5 personality traits and interleukin-6: Evidence for "healthy neuroticism" in a U.S. Population sample. Brain, Behavior, and Immunity, 28, 83-89.
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View publication via DOI: DOI:10.1016/j.bbi.2012.10.020

Whisman, M. A., & Sbarra, D. A. (2012). Marital adjustment and interleukin-6 (IL-6). Journal of Family Psychology, 26(2), 290-295.
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View publication via DOI: DOI:10.1037/a0026902

Yang, Y. C., Gerken, K., Schorpp, K., Boen, C., & Harris, K. M. (2017). Early-life socioeconomic status and adult physiological functioning: A life course examination of biosocial mechanisms. Biodemography and Social Biology, 63(2), 87-103.
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View publication via DOI: DOI:10.1080/19485565.2017.1279536

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