physical health

- Number of publications: 486

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

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

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, J. O., Watkins, D. C., Chatters, L., & Johnson-Lawrence, V. (219). Mechanisms of racial health disparities: Evidence on coping and cortisol from MIDUS II. Journal of Racial And Ethnic Health Disparities. Advance online publication. .
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View publication via DOI: DOI:10.1007/s40615-019-00648-y

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

Alonso-Ferres, M., Imami, L., & Slatcher, R. B. (2019). Untangling the effects of partner responsiveness on health and well-being: The role of perceived control. Journal of Social and Personal Relationships. Advance online publication.
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View publication via DOI: DOI:10.1177/0265407519884726

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

Assari, S., Helmi, H., & Bazargan, M. (2019). Health insurance coverage better protects Blacks than Whites against incident chronic disease. Healthcare, 7(1), 40.
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View publication via DOI: DOI:10.3390/healthcare7010040

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, 73(8), e154-e164.
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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.
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

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

Boone, D., & Kim, S. Y. (2019). Family strain, depression, and somatic amplification in adults with chronic pain. International Journal of Behavioral Medicine, 26(4), 427-436.
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View publication via DOI: DOI:10.1007/s12529-019-09799-y

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

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

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, 204, 1-8.
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View publication via DOI: DOI:10.1016/j.socscimed.2018.03.015

Bunda, K., & Busseri, M. A. (2019). Subjective trajectories for self-rated health as a predictor of change in physical health over time: Results from an 18-year longitudinal study. Social Cognition, 37(3), 206-228.
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View publication via DOI: DOI:10.1521/soco.2019.37.3.206

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

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

Campbell, J. A., Mosley-Johnson, E., Garacci, E., Walker, R. J., & Egede, L. E. (2019). The co-occurrence of diabetes and adverse childhood experiences and its impact on mortality in US adults. Journal of Affective Disorders, 249, 20-25.
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View publication via DOI: DOI:10.1016/j.jad.2019.02.016

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.
View publication via DOI: DOI:10.1093/oxfordhb/9780190676384.001.0001

Carr, D., & Tsenkova, V. K. (2018). Psychosocial consequences of body weight and obesity. 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

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

Charles, S. T., Mogle, J., Piazza, J., Karlamangla, A., & Almeida, D. M. (2019). Going the distance: The diurnal range of cortisol and its association with cognitive and physiological functioning. Psychoneuroendocrinology. Advance online publication.
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View publication via DOI: DOI:10.1016/j.psyneuen.2019.104516

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

Chen, Y., Kubzansky, L. D., & VanderWeele, T. J. (2018). Parental warmth and flourishing in mid-life. Social Science & Medicine (1982), 220, 65-72.
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View publication via DOI: DOI:10.1016/j.socscimed.2018.10.026

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

Chopik, W. J., & Edelstein, R. S. (2019). Retrospective memories of parental care and health from mid- to late life. Health Psychology, 38(1), 84-93.
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View publication via DOI: DOI:10.1037/hea0000694

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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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

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., & Weinstein, M. (2019). Change in mobility: Consistency of estimates and predictors across studies of older adults. 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/gbz091

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

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