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physical health
- Number of publications: 418
Agrigoroaei, S., Lee-Attardo, A., & Lachman, M. E. (2017). Stress and subjective age: Those with greater financial stress look older. Research on Aging, 39(10), 1075-1099.
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View publication via DOI: DOI:10.1177/0164027516658502
Ahalt, C., Binswanger, I., Steinman, M., Tulsky, J., & Williams, B. (2012). Confined to ignorance: The absence of prisoner information from nationally representative health data sets. Journal of General Internal Medicine, 27(2), 160-166.
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View publication via DOI: DOI:10.1007/s11606-011-1858-7
Allen, T. D., Henderson, T. G., Mancini, V. S., & French, K. A. (2017). Mindfulness and meditation practice as moderators of the relationship between age and subjective wellbeing among working adults. Mindfulness, 8(4), 1055-1063.
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View publication via DOI: DOI:10.1007/s12671-017-0681-6
Almeida, D. M., Neupert, S. D., Banks, S. R., & Serido, J. (2005). Do daily stress processes account for socioeconomic health disparities. Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 60B(Special Issue II), 34-39.
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View publication via DOI: DOI:10.1093/geronb/60.Special_Issue_2.S34
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., Wethington, E., & Kessler, R. C. (2002). The daily inventory of stressful events (DISE): An interview-based approach for measuring daily stressors. Assessment, 9(1), 41-55.
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View publication via DOI: DOI:10.1177/1073191102091006
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
Andersson, M. A. (2016). Chronic disease at midlife: Do parent-child bonds modify the effect of childhood SES? Journal of Health and Social Behavior, 57(3), 373-389.
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View publication via DOI: DOI:10.1177/0022146516661596
Assari, S., & Lankarani, M. M. (2016). Chronic medical conditions and negative affect; racial variation in reciprocal associations over time. Frontiers in Psychiatry, 7, Article 140.
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View publication via DOI: DOI:10.3389/fpsyt.2016.00140
Ayanian, J. Z., & Cleary, P. D. (1999). Perceived risks of heart disease and cancer among cigarette smokers. Journal of the American Medical Association, 281(11), 1019-1021.
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View publication via DOI: DOI:10.1001/jama.281.11.1019
Bae, W., Suh, Y. I., Ryu, J., & Heo, J. (2017). Physical activity levels and well-being in older adults. Psychological Reports, 120(2), 192-205.
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View publication via DOI: DOI:10.1177/0033294116688892
Barger, S. D. (2006). Do psychological characteristics explain socioeconomic stratification of self-rated health? Journal of Health Psychology, 11(1), 21-35.
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View publication via DOI: DOI:10.1177/1359105306058839
Barger, S. D., & Sydeman, S. J. (2005). Does generalized anxiety disorder predict coronary heart disease risk factors independently of major depressive disorder? Journal of Affective Disorders, 88(1), 87-91.
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View publication via DOI: DOI:10.1016/j.jad.2005.05.012
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
Barrett, A. E. (2003). Socioeconomic status and age identity: The role of dimensions of health in the subjective construction of age. Journals of Gerontology: Series B: Psychological Science & Social Sciences, 58B(2), S101-S109.
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View publication via DOI: DOI:10.1093/geronb/58.2.S101r
Barrett, A. E. (2005). Gendered experiences in midlife: Implications for age identity. Journal of Aging Studies, 19(2), 163-183.
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View publication via DOI: DOI:10.1016/j.jaging.2004.05.002
Barrett, A. E., & Robbins, C. (2008). The multiple sources of women's aging anxiety and their relationship with psychological distress. Journal of Aging and Health, 20, 32-65.
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View publication via DOI: DOI:10.1177/0898264307309932
Barrett, A. E., & Toothman, E. L. (2014). Baby Boomers' subjective life course and its physical health effects: How distinctive is the "forever young" cohort? International Journal of Aging & Human Development, 79(2), 109-129.
View publication via DOI: DOI:10.2190/AG.79.2.b
Barrett, A. E., & Toothman, E. L. (2016). Explaining age differences in women's emotional well-being: The role of subjective experiences of aging. Journal of Women & Aging, 28(4), 285-296.
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View publication via DOI: DOI:10.1080/08952841.2015.1017426
Barrett, A. E., & Toothman, E. L. (2017). Multiple "old ages": The influence of social context on women's aging anxiety. Journals Of Gerontology. Series B, Psychological Sciences And Social Sciences. Advance online publication.
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View publication via DOI: DOI:10.1093/geronb/gbx027
Barrineau, M. J., Zarit, S. H., King, H. A., Costanzo, E. S., & Almeida, D. M. (2014). Daily well-being of cancer survivors: The role of somatic amplification. Psycho-Oncology, 23(9), 1027-1033.
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View publication via DOI: DOI:10.1002/pon.3509
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
Boardman, J. D., & Fletcher, J. M. (2015). To cause or not to cause? That is the question, but identical twins might not have all of the answers. Social Science & Medicine, 127, 198-200.
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View publication via DOI: DOI:10.1016/j.socscimed.2014.10.013
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..
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
Bookwala, J. (2005). The role of marital quality in physical health during the mature years. Journal of Aging & Health, 17, 85-104.
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View publication via DOI: DOI:10.1177/0898264304272794
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..
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
Brown, T. T., Partanen, J., Chuong, L., Villaverde, V., Chantal Griffin, A., & Mendelson, A. (2018). Discrimination hurts: The effect of discrimination on the development of chronic pain. Social Science & Medicine. Advance online publication.
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View publication via DOI: DOI:10.1016/j.socscimed.2018.03.015
Bures, R. M. (2003). Childhood residential stability and health at midlife. American Journal of Public Health, 93(7), 1144-1148.
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View publication via DOI: DOI:10.1136/jech.2010.120956.41
Burgard, S.A., Brand, J.E., & House, J.S. (2009). Perceived job insecurity and worker health in the United States. Social Science & Medicine, 69(5), 777-785.
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View publication via DOI: DOI:10.1016/j.socscimed.2009.06.029
Caputo, J., & Simon, R. W. (2013). Physical limitation and emotional well-being: Gender and marital status variations. Journal of Health and Social Behavior, 54(2), 241-257.
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View publication via DOI: DOI:10.1177/0022146513484766
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..
Carr, D., Friedman, M. A., & Jaffe, K. (2007). Understanding the relationship between obesity and positive and negative affect: The role of psychosocial mechanisms. Body Image, 4(2), 165-177.
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View publication via DOI: DOI:10.1016/j.bodyim.2007.02.00
Carr, D.S., Jaffe, K., Friedman, M. (2008). Perceived Interpersonal Mistreatment Among Obese Americans: Do Race, Class,and Gender Matter? Obesity, 16(Supplement 2), S60-68.
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View publication via DOI: DOI:10.1038/oby.2008.453
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
Chapman, B. P., Fiscella, K., Kawachi, I., & Duberstein, P. R. (2010). Personality, socioeconomic status, and all-cause mortality in the United States. American Journal of Epidemiology, 171(1), 83-92.
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View publication via DOI: DOI:10.1093/aje/kwp323
Charles, S. T., & Almeida, D. M. (2006). Daily reports of symptoms and negative affect: Not all symptoms are the same. Psychology and Health, 21, 1-17.
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View publication via DOI: DOI:10.1080/14768320500129239
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, E., Turiano, N. A., Mroczek, D. K., & Miller, G. E. (2016). Association of reports of childhood abuse and all-cause mortality rates in women. JAMA Psychiatry, 73(9), 920-927.
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View publication via DOI: DOI:10.1001/jamapsychiatry.2016.1786
Chiang, J. J., Turiano, N. A., Mroczek, D. K., & Miller, G. E. (2018). Affective reactivity to daily stress and 20-year mortality risk in adults with chronic illness: Findings from the National Study of Daily Experiences. Health Psychology, 37(2), 170-178.
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View publication via DOI: DOI:10.1037/hea0000567
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
Cichy, K. E., Stawski, R. S., & Almeida, D. M. (2012). Racial differences in exposure and reactivity to daily family stressors. Journal of Marriage & Family, 74(3), 572-586.
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View publication via DOI: DOI:10.1111/j.1741-3737.2012.00971.x
Cleary, P. D., Zaborski, L. B., & Ayanian, J. Z. (2004). Sex differences in health over the course of mid-life. In O. G. Brim, C. D. Ryff & R. C. Kessler (Eds.), How healthy are we?: A national study of well-being at midlife. (pp. 37-63). Chicago, IL: University of Chicago Press.
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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
Combs, Y. J. (2002). Midlife health of African-American women: Cumulative disadvantage as a predictor of early senescence. Research in the Sociology of Health Care, 20, 123-135.
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View publication via DOI: DOI:10.1016/S0275-4959(02)80010-2
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
Cotter, K. A., & Lachman, M. E. (2010). Psychosocial and behavioral contributors to health: Age-related increases in physical disability are reduced by physical fitness. Psychology & Health, 25(7), 805-820.
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View publication via DOI: DOI:10.1080/08870440902883212
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
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..
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
Curhan, K. B., Sims, T., Markus, H. R., Kitayama, S., Karasawa, M., Kawakami, N., Love, G. D., Coe, C. L., Miyamoto, Y., & Ryff, C. D. (2014). Just how bad negative affect is for your health depends on culture. Psychological Science, 25(12), 2277-2280.
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View publication via DOI: DOI:10.1177/0956797614543802
Dainese, S. M., Allemand, M., Ribeiro, N., Bayram, S., Martin, M., & Ehlert, U. (2011). Protective factors in Midlife: How do people stay healthy? GeroPsych: The Journal of Gerontopsychology and Geriatric Psychiatry, 24(1), 19-29.
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View publication via DOI: DOI:10.1024/1662-9647/a000032
Danielson, R., & Sanders, G. F. (2018). An effective measure of childhood adversity that is valid with older adults. Child Abuse & Neglect, 82, 156-167.
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View publication via DOI: DOI:10.1016/j.chiabu.2018.05.028
Deighton, S., Neville, A., Pusch, D., & Dobson, K. (2018). Biomarkers of Adverse Childhood Experiences: A scoping review. Psychiatry Research. Advance online publication.
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View publication via DOI: DOI:10.1016/j.psychres.2018.08.097
Delaney, R. K., Turiano, N. A., & Strough, J. (2016). Living longer with help from others: Seeking advice lowers mortality risk. Journal of Health Psychology. Advance online publication.
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View publication via DOI: DOI:10.1177/1359105316664133
Denham, B. E. (2017). Psychosocial correlates of dietary supplement use: Results from the National Survey of Midlife Development in the United States. Ecology of Food and Nutrition, 56(2), 171-186.
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View publication via DOI: DOI:10.1080/03670244.2016.1277711
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
Edwards, R. R., Almeida, D. M., Klick, B., Haythorthwaite, J., & Smith, T. M. (2008). Duration of sleep contributes to next-day pain report in the general population. Pain, 137, 202-207.
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View publication via DOI: DOI:10.1016/j.pain.2008.01.025
Edwards, R.R. (2008). The association of perceived discrimination with low back pain. Journal of Behavioral Medicine, 31, 379-389.
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View publication via DOI: DOI:10.1007/s10865-008-9160-9
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:10.1016/j.jpsychores.2015.09.013