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social inequalities/ses
- Number of publications: 135
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
Andersson, M. A. (2015). How do we assign ourselves social status? A cross-cultural test of the cognitive averaging principle. Social Science Research, 52, 317-329.
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View publication via DOI: DOI:10.1016/j.ssresearch.2015.02.009
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
Andersson, M. A. (2018). An odd ladder to climb: Socioeconomic differences across levels of subjective social status. Social Indicators Research, 136(2), 621-643.
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View publication via DOI: DOI:10.1007/s11205-017-1559-7
Andersson, M. A. (2018). A discordance weighting approach estimating occupational and income returns to education. Twin Research and Human Genetics. Advance online publication.
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View publication via DOI: DOI:10.1017/thg.2018.20
Assari, S., Preiser, B., & Kelly, M. (2018). Education and income predict future emotional well-being of Whites but not Blacks: A ten-year cohort. Brain Sciences, 8(7), 122.
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View publication via DOI: DOI:10.3390/brainsci8070122
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
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., & 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. (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
Boehm, J. K., Chen, Y., Williams, D. R., Ryff, C., & Kubzansky, L. D. (2015). Unequally distributed psychological assets: Are there social disparities in optimism, life satisfaction, and positive affect? PLoS ONE, 10(2), 1-16.
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View publication via DOI: DOI:10.1371/journal.pone.0118066
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., 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
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
Carr, D. S. (2004). Psychological well-being across three cohorts: A response to shifting work-family opportunities and expectations? Work and well-being across three cohorts. In O.G. Brim, C.D. Ryff, & R.C. Kessler (Eds.), How healthy are we?: A national study of well-being at midlife (pp. 452-484). Chicago, IL: University of Chicago Press.
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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
Chapman, B. P., & Elliot, A. J. (2018). Personality and socioeconomic status over the adult working years. In C. D. Ryff & R. F. Krueger (Eds.), The Oxford handbook of integrative health science. New York: Oxford University Press..
Chapman, B. P., Fiscella, K., Duberstein, P., Coletta, M., & Kawachi, I. (2009). Can the influence of childhood socioeconomic status on men's and women's adult body mass be explained by adult socioeconomic status or personality? Findings from a national sample. Health Psychology, 28(4), 419-427.
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View publication via DOI: DOI:10.1037/a0015212
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
Chapman, B., Fiscella, K., Duberstein, P., & Kawachi, I. (2009). Education and smoking: Confounding or effect modification by phenotypic personality traits? Annals of Behavioral Medicine, 38(3), 237-248.
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View publication via DOI: DOI:10.1007/s12160-009-9142-3
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
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
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
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
Curran, M., Totenhagen, C., & Serido, J. (2010). How resources (or lack thereof) influence advice seeking on psychological well-being and marital risk: Testing pathways of the lack of financial stability, support, and strain. Journal of Adult Development, 17(1), 44-56.
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View publication via DOI: DOI:10.1007/s10804-009-9077-8
Cutler, D. M., & Lleras-Muney, A. (2010). Understanding differences in health behaviors by education. Journal of Health Economics, 29(1), 1-28.
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View publication via DOI: DOI:10.1016/j.jhealeco.2009.10.003
Drewelies, J., Agrigoroaei, S., Lachman, M. E., & Gerstorf, D. (2018). Age variations in cohort differences in the United States: Older adults report fewer constraints nowadays than those 18 years ago, but mastery beliefs are diminished among younger adults. Developmental Psychology, 54(8), 1408-1425.
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View publication via DOI: DOI:10.1037/dev0000527
Earle, A., & Heymann, S. J. (2004). Work, family and social class. In O. G. Brim, C. D. Ryff, & R. C. Kessler (Eds.), How healthy are we?: A national study of well-being at midlife (pp. 485-513). Chicago: University of Chicago Press.
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Einolf, C. J. (2011). Gender differences in the correlates of volunteering and charitable giving. Nonprofit & Voluntary Sector Quarterly, 40(6), 1092-1112.
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View publication via DOI: DOI:10.1177/0899764010385949
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., 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
Ettner, S. L. (1999). The relationship between the continuity of care and the health behaviors of patients: Does having a usual physician make a difference? Medical Care, 37(6), 547-555.
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Ettner, S. L., & Grzywacz, J. G. (2001). Workers' perceptions of how jobs affect health: A social ecological perspective. Journal of Occupational Health Psychology, 6(2), 101-113.
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View publication via DOI: DOI:10.1037/1076-8998.6.2.101
Ferraro, K. F., Schafer, M. H., & Wilkinson, L. R. (2016). Childhood disadvantage and health problems in middle and later life: Early imprints on physical health? American Sociological Review, 81(1), 107-133.
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View publication via DOI: DOI:10.1177/0003122415619617
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., Karlamangla, A. S., Gruenewald, T., & Seeman, T. E. (2015). Early life adversity and adult biological risk profiles Psychosomatic Medicine, 77(2), 176-185.
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View publication via DOI: DOI:10.1097/PSY.0000000000000147
Fujiwara, T., & Kawachi, I. (2009). Is education causally related to better health? A twin fixed-effect study in the USA. International Journal of Epidemiology, 38(5), 1310-1322.
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View publication via DOI: DOI:10.1093/ije/dyp226
Fuller-Rowell, T. E., Curtis, D. S., Chae, D. H., & Ryff, C. D. (2018). Longitudinal health consequences of socioeconomic disadvantage: Examining perceived discrimination as a mediator. Health Psychology, 37(5), 491-500.
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View publication via DOI: DOI:10.1037/hea0000616
Fuller-Rowell, T. E., Curtis, D. S., El-Sheikh, M., Chae, D. H., Boylan, J. M., & Ryff, C. D. (2016). Racial disparities in sleep: The role of neighborhood disadvantage. Sleep Medicine, 27-28, 1-8.
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View publication via DOI: DOI:10.1016/j.sleep.2016.10.008
Fuller-Rowell, T. E., Doan, S. N., & Eccles, J. S. (2012). Differential effects of perceived discrimination on the diurnal cortisol rhythm of African Americans and Whites. Psychoneuroendocrinology, 37(1), 107-118.
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View publication via DOI: DOI:10.1016/j.psyneuen.2011.05.011
Fuller-Rowell, T. E., Love, G. D., Williams, D. R., McKinely, P. S., Sloan, R. P., & Ryff, C. D. (2013). Race differences in age trends of autonomic nervous system functioning. Journal of Aging and Health, 25(5), 839-862.
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View publication via DOI: DOI:10.1177/0898264313491427
Glei, D. A., Goldman, N., & Weinstein, M. (2018). Perception has its own reality: Subjective versus objective measures of economic distress. Population and Development Review. Advance online publication.
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View publication via DOI: DOI:10.1111/padr.12183
Gnambs, T., Stiglbauer, B., & Selenko, E. (2015). Psychological effects of (non)employment: A cross-national comparison of the United States and Japan Scandinavian Journal of Psychology, 56(6), 659-669.
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View publication via DOI: DOI:10.1111/sjop.12240
Goldman, N., Glei, D. A., & Weinstein, M. (2018). Declining mental health among disadvantaged Americans. Proceedings of the National Academy of Sciences. Advance online publication.
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View publication via DOI: DOI:10.1073/pnas.1722023115
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
Grzywacz, J. G., & Almeida, D. M. (2008). Stress and binge drinking: A daily process examination of stressors pile-up and socioeconomic status in affect regulation. International Journal of Stress Management, 15, 364-380.
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View publication via DOI: DOI:10.1037/a0013368
Grzywacz, J. G., & Marks, N. F. (2001). Social inequalities and exercise during adulthood: Toward an ecological perspective. Journal of Health & Social Behavior, 42(2), 202-220.
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Grzywacz, J. G., Almeida, D. M., Neupert, S. D., & Ettner, S. L. (2004). Socioeconomic status and health: A micro-level analysis of exposure and vulnerability to daily stressors. Journal of Health & Social Behavior, 45(March), 1-16.
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View publication via DOI: DOI:10.1177/002214650404500101
Gunes, P. M. (2016). The effects of teenage childbearing on long-term health in the US: A twin-fixed-effects approach. Review of Economics of the Household, 14(4), 891-920.
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View publication via DOI: DOI:10.1007/s11150-016-9326-0
Hamdi, N. R., Krueger, R. F., & South, S. C. (2015). Socioeconomic status moderates genetic and environmental effects on the amount of alcohol use. Alcoholism: Clinical and Experimental Research, 39(4), 603-610.
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View publication via DOI: DOI:10.1111/acer.12673
Hamdi, N. R., South, S. C., & Krueger, R. F. (2016). Does education lower allostatic load? A co-twin control study. Brain, Behavior, and Immunity, 56, 221-229.
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View publication via DOI: DOI:10.1016/j.bbi.2016.01.014
Hill, P. L., Turiano, N. A., Mroczek, D. K., & Burrow, A. L. (2016). The value of a purposeful life: Sense of purpose predicts greater income and net worth. Journal of Research in Personality, 65, 38-42.
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View publication via DOI: DOI:10.1016/j.jrp.2016.07.003
Johnson, W., & Krueger, R. F. (2005). Higher perceived life control decreases genetic variance in physical health: Evidence from a national twin study. Journal of Personality & Social Psychology, 88(1), 165-173.
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View publication via DOI: DOI:10.1037/0022-3514.88.1.165
Johnson, W., & Krueger, R. F. (2005). Predictors of physical health: Toward an integrated model of genetic and environmental antecedents. Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 60B(1), 42-52.
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View publication via DOI: DOI:10.1093/geronb/60.Special_Issue_1.42
Johnson, W., & Krueger, R. F. (2005). Genetic effects on physical health: Lower at higher income levels. Behavior Genetics, 35(5), 579-590.
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View publication via DOI: DOI:10.1007/s10519-005-3598-0
Johnson, W., & Krueger, R. F. (2006). How money buys happiness: Genetic and environmental processes linking finances and life satisfaction. Journal of Personality and Social Psychology, 90, 680-691.
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View publication via DOI: DOI:10.1037/0022-3514.90.4.680
Kan, C., Kawakami, N., Karasawa, M., Love, G. D., Coe, C. L., Miyamoto, Y., Ryff, C. D., Kitayama, S., Curhan, K. B., & Markus, H. R. (2014). Psychological resources as mediators of the association between social class and health: Comparative findings from Japan and the U.S. International Journal of Behavioral Medicine, 21(1), 53-65.
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View publication via DOI: DOI:10.1007/s12529-012-9249-y
Karlamangla, A. S., Friedman, E. M., Seeman, T. E., Stawksi, R. S., & Almeida, D. M. (2013). Daytime trajectories of cortisol: Demographic and socioeconomic differences- findings from the National Study of Daily Experiences. Psychoneuroendocrinology, 38, 2585-2597.
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View publication via DOI: DOI:10.1016/j.psyneuen.2013.06.010
Karlamangla, A. S., Mori, T., Merkin, S. S., Seeman, T. E., Greendale, G. A., Binkley, N., & Crandall, C. J. (2013). Childhood socioeconomic status and adult femoral neck bone strength: Findings from the Midlife in the United States Study. Bone, 56(2), 320-326.
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View publication via DOI: DOI:10.1016/j.bone.2013.06.021
Keyes, C. L. M. (2009). The Black-White paradox in health: Flourishing in the face of social inequality and discrimination. Journal of Personality, 77(6), 1677-1706.
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View publication via DOI: DOI:10.1111/j.1467-6494.2009.00597.x
Keyes, C. L. M., & Grzywacz, J. G. (2002). Complete health: Prevalence and predictors among U.S. adults in 1995. American Journal of Health Promotion, 17(2), 122-131.
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View publication via DOI: DOI:10.4278/0890-1171-17.2.122
Keyes, C. L. M., & Shapiro, A. (2004). Social well-being in the United States: A descriptive epidemiology. In O. G. Brim, C. D. Ryff, & R. C. Kessler (Eds.), How healthy are we?: A national study of well-being at midlife (pp. 350-372). Chicago: University of Chicago Press.
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Kiefer, D. S., Chase, J. C., Love, G. D., & Barrett, B. P. (2014). The overlap of dietary supplement and pharmaceutical use in the MIDUS national study. Evidence-Based Complementary and Alternative Medicine, 2014(Article ID 823853), 1-6.
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View publication via DOI: DOI:10.1155/2014/823853
Kirsch, J. A., & Ryff, C. D. (2018). The Great Recession, inequality, and health: An integrative approach. In C. D. Ryff & R. F. Krueger (Eds.), The Oxford handbook of integrative health science. New York: Oxford University Press..
Kirsch, J., & Ryff, C. D. (2016). Hardships of the Great Recession and health: Understanding varities of vulnerability. Health Psychology Open, 3(1), 2055102916652390.
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View publication via DOI: DOI:10.1177/2055102916652390
Kivimaki, M., Virtanen, M., Kawachi, I., Nyberg, S. T., Alfredsson, L., Batty, G. D., Bjorner, J. B., Borritz, M., Brunner, E. J., Burr, H., Dragano, N., Ferrie, J. E., Fransson, E. I., Hamer, M., Heikkila, K., Knutsson, A., Koskenvuo, M., Madsen, I. E. H (2015). Long working hours, socioeconomic status, and the risk of incident type 2 diabetes: A meta-analysis of published and unpublished data from 222120 individuals. The Lancet Diabetes & Endocrinology, 3(1), 27-34.
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View publication via DOI: DOI:10.1016/S2213-8587(14)70178-0
Lachman, M. E., & Weaver, S. L. (1998). The sense of control as a moderator of social class differences in health and well-being. Journal of Personality and Social Psychology, 74(3), 763-773.
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Lachman, M. E., Agrigoroaei, S., Murphy, C., & Tun, P. A. (2010). Frequent cognitive activity compensates for education differences in episodic memory. American Journal of Geriatric Psychiatry, 18(1), 4-10.
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View publication via DOI: DOI:10.1097/JGP.0b013e3181ab8b62
Lee, C., & Ryff, C. D. (2016). Early parenthood as a link between childhood disadvantage and adult heart problems: A gender-based approach. Social Science & Medicine, 171, 58-66.
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View publication via DOI: DOI:10.1016/j.socscimed.2016.10.028
Lee, C., Coe, C. L., & Ryff, C. D. (2017). Social disadvantage, severe child abuse, and biological profiles in adulthood. Journal of Health and Social Behavior, 53(3), 371-386.
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View publication via DOI: DOI:10.1177/0022146516685370
Lee, C., Tsenkova, V. K., Boylan, J. M., & Ryff, C. D. (2018). Gender differences in the pathways from childhood disadvantage to metabolic syndrome in adulthood: An examination of health lifestyles. SSM - Population Health, 4, 216-224.
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View publication via DOI: DOI:10.1016/j.ssmph.2018.01.003
Lee, C., Tsenkova, V., & Carr, D. (2014). Childhood trauma and metabolic syndrome in men and women. Social Science & Medicine, 105, 122-130.
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View publication via DOI: DOI:10.1016/j.socscimed.2014.01.017
Lundborg, P. (2013). The health returns to schooling- what can we learn from twins? Journal of Population Economics, 26(2), 673-701.
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View publication via DOI: DOI:10.1007/s00148-012-0429-5
Markus, H. R., Ryff, C. D., Barnett, K. L., & Palmersheim, K.A. (2004). In their own words: Well-being at midlife among high school and college educated adults. In O. G. Brim, C. D. Ryff, & R. C. Kessler (Eds.), How healthy are we?: A national study of well-being at midlife (273-319). Chicago: University of Chicago Press.
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Marmot, M. G., & Fuher, R. (2004). Socioeconomic position and health across midlife. In O. G. Brim, C. D. Ryff, & R. C. Kessler (Eds.), How healthy are we?: A national study of well-being at midlife (pp. 64-89). Chicago: University of Chicago Press.
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Marmot, M. G., Fuhrer, R., Ettner, S. L., Marks, N. F., Bumpass, L. L., & Ryff, C. D. (1998). Contribution of psychosocial factors to socioeconomic differences in health. Milbank Quarterly, 76(3), 403-448.
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Martin, M., & Westerhof, G. (2003). Do you need to have them or should you believe you have them? Resources, their appraisal, and well-being in adulthood. Journal of Adult Development, 10(2), 90-9.
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View publication via DOI: DOI:10.1023/A:1022439915499
McMahan, S., & Lutz, R. (2004). Alternative therapy use among the young-old (ages 65-74): An evaluation of the MIDUS database. Journal of Applied Gerontology, 23(2), 91-103.
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View publication via DOI: DOI:10.1177/0733464804265604
Miller, G. E., Lachman, M. E., Chen, E., Gruenewald, T. L., Karlamangla, A. S., & Seeman, T. E. (2011). Pathways to resilience: Maternal nurturance as a buffer against the Effects of childhood poverty on metabolic syndrome at Midlife. Psychological Science, 22(12), 1591-1599.
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View publication via DOI: DOI:10.1177/0956797611419170
Miyamoto, Y., Yoo, J., Levine, C. S., Park, J., Boylan, J. M., Sims, T., Markus, H. R., Kitayama, S., Kawakami, N., Karasawa, M., Coe, C. L., Love, G. D., & Ryff, C. D. (2018). Culture and social hierarchy: Self- and other-oriented correlates of socioeconomic status across cultures. Journal of Personality and Social Psychology. Advance online publication.
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View publication via DOI: DOI:10.1037/pspi0000133
Monden, C. (2010). Do measured and unmeasured family factors bias the association between education and self-assessed health? Social Indicators Research, 98(2), 321-336.
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View publication via DOI: DOI:10.1007/s11205-009-9547-1
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