Biomarkers

- Number of publications: 534

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

Alen, N. V., Parenteau, A. M., Sloan, R. P., & Hostinar, C. E. (2021). Heart rate variability and circulating inflammatory markers in midlife. Brain, Behavior, & Immunity - Health, 15, Article 100273.
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View publication via DOI: DOI:10.1016/j.bbih.2021.100273

Alen, N. V., Sloan, R. P., Seeman, T. E., & Hostinar, C. E. (2020). Childhood parental warmth and heart rate variability in midlife: Implications for health. Personal Relationships, 27(3), 506-525.
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View publication via DOI: DOI:10.1111/pere.12329

Alenazi, A. M., Alshehri, M. M., Alqahtani, B. A., Alanazi, A. D., & Bindawas, S. M. (2021). Combined diabetes and arthritis are associated with declined gait speed. Clinical Rheumatology, 40, 1593-1598.
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View publication via DOI: DOI:10.1007/s10067-020-05370-3

Allen, J. O., Watkins, D. C., Chatters, L., & Johnson-Lawrence, V. (2020). Mechanisms of racial health disparities: Evidence on coping and cortisol from MIDUS II. Journal of Racial And Ethnic Health Disparities, 7(2), 207-216.
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View publication via DOI: DOI:10.1007/s40615-019-00648-y

Allen, J. O., Watkins, D. C., Chatters, L., Geronimus, A. T., & Johnson-Lawrence, V. (2019). Cortisol and racial health disparities affecting Black men in later life: Evidence from MIDUS II American Journal of Men's Health, 13(4), 1557988319870969.
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View publication via DOI: DOI:10.1177/1557988319870969

Allen, J. O., Watkins, D. C., Mezuk, B., Chatters, L., & Johnson-Lawrence, V. (2020). Mechanisms of racial health disparities: Relationships between coping and psychological and physiological stress responses. Ethnicity & Disease, 30(4), 563-574.
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View publication via DOI: DOI:10.18865/ed.30.4.563

Allende, S., & Bayley, P. J. (2024). Estimating survival in data-driven phenotypes of mental health symptoms and peripheral biomarkers: A prospective study. Brain, Behavior, & Immunity - Health, 39, Article 100815.
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View publication via DOI: DOI:10.1016/j.bbih.2024.100815

Alley, J., Gassen, J., & Slavich, G. M. (2025). The effects of childhood adversity on twenty-five disease biomarkers and twenty health conditions in adulthood: Differences by sex and stressor type. Brain, Behavior, and Immunity, 123, 164-176.
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View publication via DOI: DOI:10.1016/j.bbi.2024.07.019

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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View publication via DOI: DOI:10.1016/B978-0-12-380882-0.00012-7

Almeida, D. M., Piazza, J., Liu, Y., & Zarit, S. H. (2020). Use of saliva to better understand the daily experience of adulthood and aging. In D. A. Granger & M. K. Taylor (Eds.), Salivary bioscience: Foundations of interdisciplinary saliva research and applications (pp. 655-674). Cham: Springer International Publishing.
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View publication via DOI: DOI:10.1007/978-3-030-35784-9_27

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

Alqahtani, B. (2023). Number of medications and polypharmacy are associated with frailty in older adults: Results from the Midlife in the United States study. Frontiers in Public Health, 11, Article 1148671.
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View publication via DOI: DOI:10.3389/fpubh.2023.1148671

Alvarez, G. M., Hackman, D. A., Miller, A. B., & Muscatell, K. A. (2020). Systemic inflammation is associated with differential neural reactivity and connectivity to affective images. Social Cognitive and Affective Neuroscience, 15(10), 1024-1033.
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View publication via DOI: DOI:10.1093/scan/nsaa065

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

Apsley, A. T., Lee, S. A., Bhat, A. C., Rush, J., Almeida, D. M., Cole, S. W., & Shalev, I. (2024). Affective reactivity to daily stressors and immune cell gene expression in the MIDUS study. Brain, Behavior, and Immunity, 115, 80-88.
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View publication via DOI: DOI:10.1016/j.bbi.2023.09.025

Aqua, J. K., Barnum, O., & Johnson, D. A. (2024). Sleep as a contributor to socioeconomic disparities in hypertension: The Midlife in the United States (MIDUS II) study. Sleep, 47(9), Article zsae142.
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View publication via DOI: DOI:10.1093/sleep/zsae142

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

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

Bennett, M. M., Tomas, C. W., & Fitzgerald, J. M. (2024). Relationship between heart rate variability and differential patterns of cortisol response to acute stressors in mid-life adults: A data-driven investigation. Stress and Health, 40(3), Article e3327.
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View publication via DOI: DOI:10.1002/smi.3327

Berkowitz, L., Henriquez, M. P., Salazar, C., Rojas, E., Echeverria, G., Love, G. D., Rigotti, A., Coe, C. L., & Ryff, C. D. (2021). Association between serum sphingolipids and eudaimonic well-being in white U.S. Adults. Scientific Reports, 11(1), Article 13139.
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View publication via DOI: DOI:10.1038/s41598-021-92576-3

Berkowitz, L., Mateo, C., Salazar, C., Samith, B., Sara, D., Pinto, V., Martinez, X., Calzada, M., von Schultzendorff, A., Pedrals, N., Bitran, M., Echeverria, G., Ruini, C., Ryff, C., & Rigotti, A. (2023). Healthy eating as potential mediator of inverse association between purpose in life and waist circumference: Emerging evidence from US and Chilean cohorts. International Journal of Environmental Research and Public Health, 20(23), Article 7099.
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View publication via DOI: DOI:10.3390/ijerph20237099

Berkowitz, L., Salazar, C., Ryff, C. D., Coe, C. L., & Rigotti, A. (2022). Serum sphingolipid profiling as a novel biomarker for metabolic syndrome characterization. Frontiers in Cardiovascular Medicine, 9, Article 1092331.
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View publication via DOI: DOI:10.3389/fcvm.2022.1092331

Bertele, N., Karabatsiakis, A., Buss, C., & Talmon, A (2021). How biomarker patterns can be utilized to identify individuals with a high disease burden: A bioinformatics approach towards predictive, preventive, and personalized (3p) medicine. EPMA Journal, 12, 507-516.
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View publication via DOI: DOI:10.1007/s13167-021-00255-0

Bertele, N., Karabatsiakis, A., Talmon, A., & Buss, C. (2022). Biochemical clusters predict mortality and reported inability to work 10 years later. Brain, Behavior, & Immunity - Health, 21, Article 100432.
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View publication via DOI: DOI:10.1016/j.bbih.2022.100432

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

Bisson, A. N. S., & Lachman, M. E. (2023). The relationship of daily physical activity and sleep in adults: Variations by age, sex, and race. Journal of Behavioral Medicine, 46, 642-654 .
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View publication via DOI: DOI:10.1007/s10865-022-00387-2

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

Bourassa, K. J., Moffitt, T. E., Harrington, H., Houts, R., Poulton, R., Ramrakha, S., & Caspi, A. (2021). Lower cardiovascular reactivity is associated with more childhood adversity and poorer midlife health: Replicated findings from the Dunedin and MIDUS cohorts. Clinical Psychological Science, 9(5), 961-978.
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View publication via DOI: DOI:10.1177/2167702621993900

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., Cundiff, J. M., Fuller-Rowell, T. E., & Ryff, C. D. (2020). Childhood socioeconomic status and inflammation: Psychological moderators among Black and White Americans. Health Psychology, 39(6), 497-508.
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View publication via DOI: DOI:10.1037/hea0000866

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

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

Bridger Staatz, C., Kelly, Y., Lacey, R. E., Blodgett, J. M., George, A., Arnot, M., Walker, E., & Hardy, R. (2021). Life course socioeconomic position and body composition in adulthood: A systematic review and narrative synthesis. International Journal of Obesity, 45(11), 2300-2315.
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View publication via DOI: DOI:10.1038/s41366-021-00898-z

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, Sleep, 42(9), Article zsz116.
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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, M., Worrell, C., & Pariante, C. M. (2021). Inflammation and early life stress: An updated review of childhood trauma and inflammatory markers in adulthood. Pharmacology Biochemistry and Behavior, 211, Article 173291.
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View publication via DOI: DOI:10.1016/j.pbb.2021.173291

Burns, C., Hejl, C., & Z. Szabo, Y. (2024). Childhood adversity and adult inflammation: Exploring the mediating role of emotion regulation in the MIDUS II study. Journal of Child & Adolescent Trauma, 17, 319-334.
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View publication via DOI: DOI:10.1007/s40653-023-00594-2

Byrd, D. R., & Allen, J. O. (2023). Multiple forms of discrimination and inflammation in Black Americans: Are there differences by sex? Social Science and Medicine, 321, Article 115785.
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View publication via DOI: DOI:10.1016/j.socscimed.2023.115785

Caceres, B. A., Britton, L. E., Cortes, Y. I., Makarem, N., & Suglia, S. F. (2022). Investigating the associations between childhood trauma and cardiovascular health in midlife. Journal of Traumatic Stress, 35(2), 409-423.
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View publication via DOI: DOI:10.1002/jts.22752

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

Carbone, J. T. (2020). Neighborhood perceptions and allostatic load: Evidence from Midlife in the United States study. Health & Place, 61, Article 102263.
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View publication via DOI: DOI:10.1016/j.healthplace.2019.102263

Carbone, J. T. (2020). The mediating effect of allostatic load on the relationship between neighborhood perceptions and depression. SSM - Population Health, 11, Article 100638.
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View publication via DOI: DOI:10.1016/j.ssmph.2020.100638

Carbone, J. T. (2021). Allostatic load and mental health: A latent class analysis of physiological dysregulation. Stress, 24(4), 394-403.
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View publication via DOI: DOI:10.1080/10253890.2020.1813711

Carbone, J. T., Clift, J., & Alexander, N. (2022). Measuring allostatic load: Approaches and limitations to algorithm creation. Journal of Psychosomatic Research, 163, Article 111050.
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View publication via DOI: DOI:10.1016/j.jpsychores.2022.111050

Carlton, C. N., Garcia, K. M., Sullivan-Toole, H., Stanton, K., McDonnell, C. G., & Richey, J. A.2021 (Date currently unavailable). From childhood maltreatment to adult inflammation: Evidence for the mediational status of social anxiety and low positive affect. Brain, Behavior, & Immunity - Health, 18, Article 100366.
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View publication via DOI: DOI:10.1016/j.bbih.2021.100366

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., & Utz, R. L. (2020). Families in later life: A decade in review. Journal of Marriage & Family, 82(1), 346-363.
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View publication via DOI: DOI:10.1111/jomf.12609

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), Article e0118467.
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View publication via DOI: DOI:10.1371/journal.pone.0118467

Chai, H. W., & Almeida, D. M. (2023). How families make their way into your Heart: Exploring the associations between daily experiences involving family members and cardiovascular health. Annals of Behavioral Medicine, 57(1), 74-85.
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View publication via DOI: DOI:10.1093/abm/kaab095

Chai, H. W., Ayanian, J. Z., & Almeida, D. M. (2021). Non-spousal family support, marital status, and heart problems in adulthood. Psychology & Health, 36(8), 1003-1020.
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View publication via DOI: DOI:10.1080/08870446.2020.1809660

Chai, H. W., Jester, D. J., Lee, S., Joo, S., Umberson, D. J., & Almeida, D. M. (2023). Sleep quality moderates the association between family bereavement and heart rate variability. Journal of Behavioral Medicine, 46, 622-631.
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View publication via DOI: DOI:10.1007/s10865-022-00388-1

Charles, S. T., Mogle, J., Piazza, J., Karlamangla, A., & Almeida, D. M. (2020). Going the distance: The diurnal range of cortisol and its association with cognitive and physiological functioning. Psychoneuroendocrinology, 112, Article 104516.
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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, Y., Kawachi, I., Berkman, L. F., Trudel-Fitzgerald, C., & Kubzansky, L. D. (2018). A prospective study of marital quality and body weight in midlife. Health Psychology, 37(3), 247-256.
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View publication via DOI: DOI:10.1037/hea0000589

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

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

Cho, D., & Cheon, W. (2023). Older adults' advance aging and life satisfaction levels: Effects of lifestyles and health capabilities. Behavioral Sciences, 13(4), Article 293.
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View publication via DOI: DOI:10.3390/bs13040293

Cho, D., & Kim, S.-H. (2020). Health capability and psychological effects of regular exercise on adults: Middle-aged and older. International Journal of Aging and Human Development, 91(4), 520-537.
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View publication via DOI: DOI:10.1177/0091415019882009

Chung, J. (2017). Social support, social strain, sleep quality, and actigraphic sleep characteristics: Evidence from a national survey of US adults. Sleep Health, 3(1), 22-27.
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View publication via DOI: DOI:10.1016/j.sleh.2016.10.003

Clobert, M., Sims, T. L., Yoo, J., Miyamoto, Y., Markus, H. R., Karasawa, M., & Levine, C. S. ( (2020). Feeling excited or taking a bath: Do distinct pathways underlie the positive affect-health link in the U.S. and Japan? Emotion, 20(2), 164-178.
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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

Coe, C. L., Miyamoto, Y., Love, G. D., Karasawa, M., Kawakami, N., Kitayama, S., & Ryff, C. D. (2020). Cultural and life style practices associated with low inflammatory physiology in Japanese adults. Brain, Behavior, and Immunity, 90, 385-395.
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View publication via DOI: DOI:10.1016/j.bbi.2020.08.008

Coe, C. L., Tsenkova, V., Love, G. D., Kawakami, N., Karasawa, M., Kitayama, S., Markus, H. R., & Ryff, C. D. (2020). Age-related trends in the prevalence of type 2 diabetes among Japanese and White and Black American adults. Archives of Epidemiology, 4(2), Article 142.
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View publication via DOI: DOI:10.29011/2577-2252.100042

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

Cornman, J. C., Witt, J., Glei, D. A., & Weinstein, M. (2023). Exposure to childhood maltreatment predicts adult physiological dysregulation, particularly inflammation. PLoS ONE, 18(11), Article e0294667.
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View publication via DOI: DOI:10.1371/journal.pone.0294667

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