Aging & SES
Alexopoulos, G. S., Schultz, S. K., & Lebowitz, B. D. (2005). Late-life depression: A model for medical classification. Biological Psychiatry, 58, 283–289. https://dx.doi.org/10.1016/j.biopsych.2005.04.055
Berkowitz, S. A., Seligman, H. K., & Choudhry, N. K. (2014). Treat or eat: Food insecurity, cost-related medication underuse and unmet needs. The American Journal of Medicine, 127, 303–310. https://dx.doi.org/10.1016/j.amjmed.2014.01.002
Butrica, B. A., Toder, E. J., & Toohey, D. J. (2008). Boomers at the bottom: How will low-income boomers cope with retirement? Washington, DC: AARP Public Policy Institute.
Cahill, K. E., Giandrea, M. D., & Quinn, J. F. (2013). Are gender differences emerging in the retirement patterns of the early boomers? SSRN Electronic Journal. https://dx.doi.org/10.2139/ssrn.2645853
Dallaire, B., McCubbin, M., Normand, C, & Clement, M. (2008). Representations of the elderly with mental health problems held by psychosocial practitioners from community and institutional settings. Social Work in Mental Health, 7(1–3), 139–152. https://dx.doi.org/10.1080/15332980802072488
DeNavas-Walt, C., & Proctor, B. D. (2014). Income and poverty in the United States: 2014. Retrieved from https://www2.census.gov/programs-surveys/demo/visualizations/p60/252/figure7.pdf
Fleck, C. (2008, July 30). Older minorities are becoming America’s poorest residents. AARP Bulletin Today. Retrieved from https://paydaystorefinder.com/article/aarp_older_minorities_are_becoming_americas_poorest_residents_cash_poor.html
Kvamme, J. M., Gronil, O., Florholmen, J., & Jacobsen, B. K. (2011). Risk of malnutrition is associated with mental health symptoms in community and living elderly men and women: The Tromso Study. BMC Psychiatry, 11, 1–8. doi:10.1186/1471-244X-11-112
Perissinotto, C. M., Cenzer, I. S., & Covinsky, K. E. (2012). Loneliness in older persons: A predictor of functional decline and death. Archives of Internal Medicine, 172, 1078–1084. doi:10.1001/archinternmed.2012.1993.
Racic, M., Srebrenka, K, Kozomara, L., Debelnogic, B., & Tepic, R. (2006). The prevalence of mistreatment among the elderly with mental disorders in primary health care settings. The Journal of Adult Protection, 8, 20–24. https://doi.org/10.1108/14668203200600025
Social Security Administration. (2015). Fast facts & figures about social security, 2015. Retrieved from https://www.ssa.gov/policy/docs/chartbooks/fast_facts/2015/fast_facts15.pdf
Social Security Administration. (2016). Fast facts & figures about social security, 2016. Retrieved from https://www.ssa.gov/policy/docs/chartbooks/fast_facts/2016/fast_facts16.pdf
U.S. Census Bureau. (2012, December 12). U.S. Census Bureau projections show a slower growing, older, more diverse nation a half century from now [Press release]. Retrieved from https://www.census.gov/newsroom/releases/archives/population/cb12-243.html
Wenger, N. S., Solomon, D. H., Roth, C. P., MacLean, C. H., Saliba, D., Kamberg, C. J., … Shekelle, P. G. (2003). The quality of medical care provided to vulnerable community dwelling older patients. Annals of Internal Medicine, 139, 740–747. doi:10.7326/0003-4819-139-9-200311040-00008
Children, Youth, Families & SES
Benzies, K., & Mychasiuk, R. (2009). Fostering family resiliency: A review of the key protective factors. Child and Family Social Work, 14, 103-114. doi:10.1111/j.1365-2206.2008.00586.x
Chen, E., & Paterson, L. Q. (2006). Neighborhood, family, and subjective socioeconomic status: How do they relate to adolescent health? Health Psychology, 25, 704-714. doi:10.1037/0278-6133.25.6.704
Colhoun, H. M., Hemingway, H., & Poulter, N. R. (1998). Socio-economic status and blood pressure: An overview analysis. Journal of Human Hypertension, 12, 91–110. doi:10.1038/sj.jhh.1000558
DeCarlo Santiago, C., Wadsworth, M. E., & Stump, J. (2011). Socioeconomic status, neighborhood disadvantage, and poverty-related stress: Prospective effects on psychological syndromes among diverse low-income families. Journal of Economic Psychology, 32, 218-230. https://doi.org/10.1016/j.joep.2009.10.008
Evans, D. A., Hebert, L. E., Beckett, L. A., Scherr, P. A., Albert, M. S., Chown, M. J., & Taylor, J. O. (1997). Education and other measures of socioeconomic status and risk of incident Alzheimer disease in a defined population of older persons. Archives of Neurology, 54, 1399-1405. doi:10.1001/archneur.1997.00550230066019
Fratiglioni, L., & Rocca, W. A. (2001). Epidemiology of dementia. In F. Boller, & S. F. Cappa (Eds.), Handbook of neuropsychology (2nd ed., pp. 193-215). Amsterdam, the Netherlands: Elsevier.
Fratiglioni, L., Winblad, B., & von Strauss, E. (2007). Prevention of Alzheimer’s disease and dementia: Major findings from the Kungsholmen Project. Physiology & Behavior, 92, 98-104. https://doi.org/10.1016/j.physbeh.2007.05.059
Haider, S. J. (2014). Racial and ethnic infant mortality gaps and socioeconomic status. Focus, 31, 18-20. Retrieved from https://www.irp.wisc.edu/publications/focus.htm
Hochschild, J. L. (2003). Social class in public schools. Journal of Social Issues, 59, 821-840.
Kaplan, G. A., & Keil, J. E. (1993). Socioeconomic factors and cardiovascular disease: A review of the literature. Circulation, 88, 1973-1998. doi:10.1161/01.CIR.88.4.1973
Karp, A., Kåreholt, I., Qiu, C., Bellander, T., Winblad, B., & Fratiglioni, L. (2004). Relation of education and occupation-based socioeconomic status to incident Alzheimer’s disease. American Journal of Epidemiology, 159, 175-183.
Levine, J. A. (2011). Poverty and obesity in the U.S. Diabetes, 60, 2667-2668. doi:10.2337/db11-1118
Melki, I. S., Beydoun, H. A., Khogali, M., Tamim, H., & Yunis, K. A. (2004). Household crowding index: A correlate of socioeconomic status and interpregnancy spacing in an urban setting. Journal of Epidemiology and Community Health, 58, 476-480. https://dx.doi.org/10.1136/jech.2003.012690
Miller, G. E., Chen, E., & Parker, K. J. (2011). Psychological stress in childhood and susceptibility to the chronic diseases of aging: Moving toward a model of behavioral and biological mechanisms. Psychological Bulletin, 137, 959-997. doi:10.1037/a0024768.
Milteer, R. M., Ginsburg, K. R., & Mulligan, D. A. (2012). The importance of play in promoting healthy child development and maintaining strong parent-child bond: Focus on children in poverty. Pediatrics, 129(1), e204-e213. doi:10.1542/peds.2011-2953
Molnar, B. E., Cerda, M., Roberts, A. L., & Buka, S. L. (2008). Effects of neighborhood resources on aggressive and delinquent behaviors among urban youths. American Journal of Public Health, 98, 1086-1093. doi:10.2105/AJPH.2006.098913
National Center for Education Statistics. (2002). Education Longitudinal Study of 2002. Retrieved from https://nces.ed.gov/surveys/els2002/bibliography.asp
Needham, B. L., Fernández, J. R., Lin, J., Epel, E. S., & Blackburn, E. H. (2012). Socioeconomic status and cell aging in children. Social Science and Medicine, 74, 1948-1951. doi:10.1016/j.socscimed.2012.02.019
Newacheck, P. W., Hung, Y. Y., Park, M. J., Brindis, C. D., & Irwin, C. E. (2003). Disparities in adolescent health and health care: Does socioeconomic status matter? Health Services Research, 38, 1235-1252. doi:10.1111/1475-6773.00174
Ondersma, S. J. (2002). Predictors of neglect within low-SES families: The importance of substance abuse. American Journal of Orthopsychiatry, 72, 383-391. doi:10.1037/0002-9432.72.3.383
Pearlman, D. N., Zierler, S., Gjelsvik, A., & Verhoek-Oftedahl, W. (2004). Neighborhood environment, racial position, and risk of police-reported domestic violence: A contextual analysis. Public Health Reports, 118, 44-58. doi:10.1093/phr/118.1.44
Purcell-Gates, V., McIntyre, E., & Freppon, P. A. (1995). Learning written storybook language in school: A comparison of low-SES children in skills-based and whole language classrooms. American Educational Research Journal, 32, 659-685. doi:10.3102/00028312032003659
Reardon, S. F., Valentino, R. A., & Shores, K. A. (2013). Patterns of literacy among U.S. students. The Future of Children, 23(2), 17-37.
Russell, A. E., Ford, T., Williams, R., & Russell, G. (2016). The association between socioeconomic disadvantage and attention deficit/hyperactivity disorder (ADHD): A systematic review. Child Psychiatry and Human Development, 47, 440-458. doi:10.1007/s10578-015-0578-3
Sheridan, M. A., & McLaughlin, K. A. (2016). Neurological models of the impact of adversity on education. Current Opinion in Behavioral Sciences, 10, 108-113. doi:10.1016/j.cobeha.2016.05.013
Shonkoff, J. P. & Garner, A. S. (2012). The lifelong effects of childhood adversity and toxic stress. American Academy of Pediatrics, 129, e232-e246. doi:10.1542/peds.2011-2663
Shriberg, D. (2013). School psychology and social justice: Conceptual foundations and tools for practice. New York, NY: Routledge.
Spencer, M. S., Kohn L. P., & Woods J. R. (2002). Labeling vs. early identification: The dilemma of mental health services under-utilization among low-income African American children. African American Perspectives, 8, 1–14.
Steptoe, A., & Marmot, M. (2004). Socioeconomic status and coronary heart disease: A psychobiological perspective. In L. J. Waite (Ed.), Aging, health and public policy: Demographic and economic perspectives (pp. 133-152. New York, NY: Population Council.
Trickett, P. K., Aber, J. L., Carlson, V., & Cicchetti, D. (1991). Relationship of socioeconomic status to the etiology and developmental sequelae of physical child abuse. Developmental Psychology, 27, 148-158. https://dx.doi.org/10.1037/0012-1649.27.1.148
Zhang, M. (2003). Links between school absenteeism and child poverty. Pastoral Care in Education, 21, 10-17. doi:10.1111/1468-0122.00249
Disability & SES
American Psychological Association Task Force on Socioeconomic Status. (2007). Report of the APA Task Force on Socioeconomic Status. Retrieved from https://www.apa.org/pi/ses/resources/publications/social-class-curricula.pdf
Americans With Disabilities Act Participatory Action Research Consortium. (2014). Median earnings in the past 12 months (in 2011 inflation-adjusted dollars) by disability status by sex for the civilian noninstitutionalized population 16 years and over with earnings. Retrieved from https://centerondisability.org/ada_parc/utils/indicators.php?id=30
Bureau of Labor Statistics. (2011). Employment situation of veterans [Press release]. Retrieved from https://www.bls.gov/news.release/archives/vet_03112011.pdf
Butterworth, J., Smith, F. A., Winsor, J., Timmons, J. C., Migliore, A., & Domin, D. (2015). StateData: The national report on employment services and outcomes. Retrieved from: https://www.statedata.info/sites/statedata.info/files/files/statedatabook_2015%20_Final.pdf
Chan, F. (2008, August). Demand-side employment placement models for persons with disabilities. In Spotlight on Disability: Newsletter of APA’s Office on Disability Issues in Psychology. Retrieved from https://www.apa.org/pi/disability/resources/publications/newsletter/2008/08/demand
Drainoni, M., Lee-Hood, E., Tobias, C., Bachman, S., Andrew, J., & Maisels, L. (2006). Cross-disability experiences of barriers to health-care access: Consumer perspectives. Journal of Disability Policy Studies, 17, 101-115. https://dx.doi.org/10.1177/10442073060170020101
National Center on Caregiving. (2017). Caregiving. Retrieved from https://www.caregiver.org/caregiving
Ravesloot, C., Seekins, T., & White, G. (2005). Living well with a disability health promotion intervention: Improved health status for consumers and lower costs for health care policymakers. Rehabilitation Psychology, 50, 239-245. https://dx.doi.org/10.1037/0090-5550.50.3.239
Soumerai, S., Pierre-Jacques, M., Zhang, F., Ross-Degnan, D., Adams, A., Gurwitz, J., . . . Safran, D. G. (2006). Cost-related medication nonadherence among elderly and disabled Medicare beneficiaries: A national survey 1 year before the Medicare drug benefit. Archives of Internal Medicine, 166, 1829-1835. doi:10.1001/archinte.166.17.1829
Steinmetz, E. (2006). Americans with disabilities: 2002. Current population reports (Report No. P70-107). Retrieved from https://www.census.gov/prod/2006pubs/p70-107.pdf
U.S. Census Bureau. (2015). American Community Survey: Disability characteristics. Retrieved from https://www.census.gov/
U.S. Department of Labor. (2017). Office on Disability Employment Policy. Retrieved from https://www.dol.gov/odep/
Education & SES
Aikens, N. L., & Barbarin, O. (2008). Socioeconomic differences in reading trajectories: The contribution of family, neighborhood, and school contexts. Journal of Educational Psychology, 100, 235-251. https://dx.doi.org/10.1037/0022-0663.100.2.235
Ali, S. R., McWhirter, E. H., & Chronister, K. M. (2005). Self-efficacy and vocational outcome expectations for adolescents of lower socioeconomic status: A pilot study. Journal of Career Assessment, 13(40), 40-58. doi:10.1177/1069072704270273
Bergen, E., Zuijen, T., Bishop, D., & Jong, P. F. (2016). Why are home literacy environment and children's reading skills associated? What parental skills reveal. Reading Research Quarterly, 52, 147-160. doi:10.1002/rrq.160
Blustein, D. (2013). The psychology of working: A new perspective for career development, counseling, and public policy. Abingdon-on-Thames, England: Routledge.
Bradley, R. H., Corwyn, R. F., McAdoo, H. P., & García Coll, C. (2001). The home environments of children in the United States Part I: Variations by age, ethnicity, and poverty status. Child Development, 72, 1844-1867. doi:10.1111/1467-8624.t01-1-00382
Brown, M. G., Wohn, D. Y., & Ellison, N. (2016). Without a map: College access and the online practices of youth from low-income communities. Computers & Education, 92, 104-116. doi:10.1016/j.compedu.2015.10.001
Buckingham, J., Wheldall, K., & Beaman-Wheldall, R. (2013). Why poor children are more likely to become poor readers: The school years. Australian Journal of Education, 57, 190-213. doi:10.1177/0004944113495500
Chetty, R., Friedman, J. N., Hilger, N., Saez, E., Schanzenbach, D. W., & Yagan, D. (2011). How does your kindergarten classroom affect your earnings? Evidence from Project STAR. The Quarterly Journal of Economics, 126, 1593-1660. https://doi.org/10.1093/qje/qjr041
Clotfelter, C. T., Ladd, H. F., & Vigdor, J. L. (2006). Teacher-student matching and the assessment of teacher effectiveness. Journal of Human Resources, 41, 778-820. doi:10.3368/jhr.XLI.4.778
Committee on Psychosocial Aspects of Child and Family Health, Committee on Early Childhood, Adoption, and Dependent Care, Section on Developmental and Behavioral Pediatrics, Shonkoff, J. P., Siegel, B. S., Dobbins, M. I., . . . Wood, D. L. (2012). Early childhood adversity, toxic stress, and the role of the pediatrician: Translating developmental science into lifelong health. Pediatrics, 129(1), e224-31. doi:10.1542/peds.2011-2662
Diemer, M. A., & Ali, S. R. (2009). Integrating social class into vocational psychology: Theory and practice implications. Journal of Career Assessment, 17, 247-265. doi:10.1177/1069072708330462
Diemer, M. A., & Blustein, D. L. (2007). Vocational hope and vocational identity; Urban adolescents’ career development. Journal of Career Assessment, 15, 98-118. doi:10.1177/1069072706294528
Doerschuk, P., Bahrim, C., Daniel, J., Kruger, J., Mann, J., & Martin, C. (2016). Closing the gaps and filling the STEM pipeline: A multidisciplinary approach. Journal of Science Education and Technology, 25, 682-695. doi:10.1007/s10956-016-9622-8
Gimbert, B., Bol, L., & Wallace, D. (2007). The influence of teacher preparation on student achievement and the application of national standards by teachers of mathematics in urban secondary schools. Education and Urban Society, 40, 91-117. doi:10.1177/0013124507303993
Houle, J. N. (2014). Disparities in debt: Parents’ socioeconomic resources and young adult student loan debt. Sociology of Education, 87(1), 53-69. doi:10.1177/0038040713512213
McLaughlin, K. A., & Sheridan, M. A. (2016). Beyond cumulative risk: a dimensional approach to childhood adversity. Current Directions in Psychological Science, 25, 239-245. doi:10.1177/0963721416655883
Mistry, R. S., Benner, A. D., Tan, C. S., & Kim, S. Y. (2009). Family economic stress and academic well-being among Chinese-American youth: The influence of adolescents’ perceptions of economic strain. Journal of Family Psychology, 23, 279-290. https://dx.doi.org/10.1037/a0015403
Morgan, P. L., Farkas, G., Hillemeier, M. M., & Maczuga, S. (2009). Risk factors for learning-related behavior problems at 24 months of age: Population-based estimates. Journal of Abnormal Child Psychology, 37, 401-413. doi:10.1007/s10802-008-9279-8
Muijs, D., Harris, A., Chapman, C., Stoll, L., & Russ, J. (2009). Improving schools in socioeconomically disadvantaged areas: A review of research evidence. School Effectiveness and School Improvement, 15, 149-175.
National Center for Education Statistics. (2008). Percentage of high school dropouts among persons 16 through 24 years old (status dropout rate), by income level, and percentage distribution of status dropouts, by labor force status and educational attainment: 1970 through 2007. Retrieved from https://nces.ed.gov/programs/digest/d08/tables/dt08_110.asp
Orr, A. J. (2003). Black–White differences in achievement: The importance of wealth. Sociology of Education, 76, 281-304. https://dx.doi.org/10.2307/1519867
Pribesh, S., Gavigan, K., & Dickinson, G. (2011). The access gap: Poverty and characteristics of school library media centers. The Library Quarterly, 81(2), 143-160.
Reardon, S. F., Valentino, R. A., Kalogrides, D., Shores, K. A., & Greenberg, E. H. (2013). Patterns and trends in racial academic achievement gaps among states, 1999-2011. Retrieved from https://cepa.stanford.edu/content/patterns-and-trends-racial-academic-achievement-gaps-among-states-1999-2011
U.S. Census Bureau. (2000). Current population survey: Design and methodology. Retrieved from www.census.gov/hhes/socdemo/education/index.html.
End-of-Life & SES
Agénor, M., Krieger, N., Austin, S. B., Haneuse, S., & Gottlieb, B. R. (2014). At the intersection of sexual orientation, race/ethnicity, and cervical cancer screening: Assessing pap test use disparities by sex of sexual partners among Black, Latina, and White U.S. women. Social Science and Medicine, 116, 110-118. https://doi.org/10.1016/j.socscimed.2014.06.039
Barclay, J. S., Kuchibhatla, M., Tulsky, J. A., & Johnson, K. S. (2013). Association of hospice patients’ income and care level with place of death. JAMA Internal Medicine, 173, 450-456. doi:10.1001/jamainternmed.2013.2773.
Beaune, L., Morinis, J., Rapoport, A., Bloch, G., Levin, L., Ford-Jones, L., . . . Andrews, K. (2013). Paediatric palliative care and the social determinants of health: Mitigating the impact of urban poverty on children with life-limiting illness. Paediatrics and Child Health, 18(4), 181-183.
Born, W., Greiner, K. A., Sylvia, E., Butler, J., & Ahluwalia, J. S. (2004). Knowledge, attitudes, and beliefs about end-of-life care among inner-city African Americans and Latinos. Journal of Palliative Medicine, 7, 247-256. https://doi.org/10.1089/109662104773709369
Chang, C., Wu, C., Yin, W., Juang, S., Yu, C., & Lee, C. (2014). Low socioeconomic status is associated with more aggressive end-of-life care for working-age terminal cancer patients. The Oncologist Express, 19, 1241-1248. doi:10.1634/theoncologist.2014-0152
Garrido, M. M., Idler, E. L., Leventhal, H., & Carr, D. (2013). Pathways from religion to advance care planning: Beliefs about control over length of life and end-of-life values. Gerontologist, 53, 801-816. doi:10.1093/geront/gns128
Hines, R. B. & Markossian, T. W. (2012). Differences in late-stage diagnosis, treatment, and colorectal cancer-related death between rural and urban African Americans and Whites in Georgia. The Journal of Rural Health, 28, 296-305. doi:10.1111/j.1748-0361.2011.00390.x
Hoover, D. R., Crystal, S., Kumar, R., Sambamoorthi, U., & Cantor, J. C. (2002). Medical expenditures during the last year of life: Findings from the 1992-1996 Medicare Current Beneficiary Survey. Health Services Research, 37, 1625-1642.
Howard, D. H., Tangka, F. K. L., Royalty, J., Dalzell, L. P., Miller, J., O’Hara, B., . . . Hall, I. J. (2015). Breast cancer screening of underserved women in the USA: Results from the National Breast and Cervical Cancer Early Detection Program, 1998-2012. Cancer Causes and Control, 26, 657-668. doi:10.1007/s10552-015-0553-0
Hui, D., Kim, S., Roquemore, J., Dev, R., Chisholm, G., & Bruera, E. (2014). Impact of timing and setting of palliative care referral on quality of end-of-life care in cancer patients. Cancer, 123, 1743-1749. doi:10.1002/cncr.28628
Kochanek, K. D., Xu, J., Murphy, S. L., Miniño, A. M., & Kung, H. (2011). Deaths: Preliminary data for 2009. National Vital Statistics Reports, 59(4), 1-51.
LaVeist, T. A., Gaskin, D. J., & Richard, P. (2009). The economic burden of health inequalities in the United States. Washington, DC: Joint Center for Political and Economic Studies.
Simard, E. P., Fedewa, S., Ma, J., Siegel, R., & Jemal, A. (2012). Widening socioeconomic disparities in cervical cancer mortality among women in 26 states, 1993–2007. Cancer, 118, 5110–5116. doi:10.1002/cncr.27606
Sun, M., Abdollah, F., Liberman, D., Abdo, A., Thuret, R., Tian, Z., . . . Karakiewicz, P. I. (2011). Racial disparities and socioeconomic status in men diagnosed with testicular germ cell tumors. Cancer, 117, 4277-4285. doi:10.1002/cncr.25969
Thorpe, R. J., Bowie, J. V., Wilson-Fredrick, S. M., Coa, K. I., & LaVeist, T. A. (2013) Association between race, place, and preventive health screenings among men: Findings from the Exploring Health Disparities in Integrated Communities Study. American Journal of Men’s Health, 7, 220-227. doi:10.1177/1557988312466910
Watanabe-Galloway, S., Zhang, W., Watkins, K., Islam, K. M., Nayar, P., Boilesen, E., . . . Qiu, F. (2014). Quality of end-of-life care among rural Medicare beneficiaries with colorectal cancer. The Journal of Rural Health, 30, 397-405. doi:10.1111/jrh.12074
Ethnic and Racial Minorities & SES
American Council on Education. (2006, October). Students of color make dramatic gains in college enrollment but still trail Whites in the rate at which they attend college [Press release]. Retrieved from https://www.acenet.edu/AM/Template.cfmSection=Search&template=/CM/HTMLDisplay.cfm&ContentID=21571
Azzam, A. M. (2008). Neglecting higher achievers. Educational Leadership, 66, 90-92. Retrieved from https://www.ascd.org/publications/educational-leadership
Bahls, C. (2011, October 6). Health policy brief: Achieving equity in health. Health Affairs, 1-6. Retrieved from https://healthaffairs.org/healthpolicybriefs/brief_pdfs/healthpolicybrief_53.pdf
Braveman, P. A., Cubbin, C., Egerter, S., Williams, D. R., & Pamuk, E. (2010). Socioeconomic disparities in health in the United States: What the patterns tell us. American Journal of Public Health, 100(S1), S186-S196. doi:10.2105/AJPH.2009.166082
Carter, R. T. (2007). Racism and psychological and emotional injury: Recognizing and assessing race-based traumatic stress. The Counseling Psychologist, 35(1), 13-105. doi:10.1177/0011000006292033
Fiscella, K., Franks, P., Gold, M. R., & Clancy, C. M. (2008). Inequality in quality: Addressing socioeconomic, racial, and ethnic disparities in health care. Journal of the American Medical Association, 283, 2579- 2584. doi:10.1001/jama.283.19.2579
Jang, Y., Chiriboga, D., Kim, G., & Rhew, S. (2010). Perceived discrimination in older Korean Americans. Asian American Journal of Psychology, 1(12), 129-135. doi:10.1037/a0019967
Jones, A. R., Thompson, C. J., Oster, R.A., Samadi, A., Davis, M. K., Mayberry, R. M., & Caplan, L. S. (2003). Breast cancer knowledge, beliefs, and screening behaviors among low income, elderly Black women. Journal of the National Medical Association, 95, 791-797, 802-805.
Jones, J., & Schmitt, J. (2014). A college degree is no guarantee (No. 2014-08). Retrieved from https://cepr.net/publications/reports/a-college-degree-is-no-guarantee
Logan, A. (2008, April 29). The state of minorities: How are minorities faring in the economy? Retrieved from https://www.americanprogress.org/issues/race/news/2008/04/29/4283/the-state-of-minorities/
McGuire, T. G., & Miranda, J. (2008). New evidence regarding racial and ethnic disparities in mental health: Policy implications. Health Affairs, 27, 393-403. doi:10.1377/hlthaff.27.2.393.
Mezuk, B., Rafferty, J. A., Kershaw, K. N., Hudson, D., Abdou, C. M., Lee, H., ... Jackson, J. S. (2010). Reconsidering the role of social disadvantage in physical and mental health: Stressful life events, health behaviors, race, and depression. American Journal of Epidemiology, 172, 1238-1249. doi:10.1093/aje/kwq283
Mossakowski, K. N. (2008). Is the duration of poverty and unemployment a risk factor for heavy drinking? Social Science & Medicine, 67, 947-955. doi:10.1016/j.socscimed.2008.05.019
National Center for Education Statistics. (2007). Status and trends in the education of racial and ethnic minorities. Retrieved from https://nces.ed.gov/pubs2007/minoritytrends/
National Center for Education Statistics. (2015). The condition of education 2015 (NCES 2015-144). Retrieved from https://nces.ed.gov/pubs2015/2015144.pdf
Reeves, R., Rodrigue, E., & Kneebone, E. (2016). Five evils: Multidimensional poverty and race in America. Retrieved from https://www.brookings.edu/wp-content/uploads/2016/06/ReevesKneeboneRodrigue_MultidimensionalPoverty_FullPaper.pdf
Rodgers, W. M. (2008, September 19). Understanding the Black and White earnings gap: Why do African Americans continue to earn less despite dramatic gains in education? Retrieved from https://www.prospect.org/cs/articles?article=understanding_the_black_white_earnings_gap
U.S. Census Bureau. (2014). U.S. poverty report. Retrieved from https://www.census.gov/population/projections/data/national/2014.html
U.S. Department of Health & Human Services. (2006). Health care for minority women. Retrieved from https://www.ahrq.gov/research/minority.pdf
Williams, D. R., Mohammed, S. A., Leavell, J., & Collins, C. (2010). Race, socioeconomic status and health: Complexities, ongoing challenges and research opportunities. Annals of the New York Academy of Sciences, 1186 , 69–101. doi:10.1111/j.1749-6632.2009.05339.x.
Williams, D. R., & Mohammed, S. A. (2013). Racism and health I: Pathways and scientific evidence. American Behavioral Scientist, 57, 1152-1173.
HIV/AIDS & SES
Buot, M. L. G., Docena, J. P., Ratemo, B. K., Bittner, M. J., Burlew, J. T., Nuritdinov, A. R., & Robbins, J. R. (2014). Beyond race and place: Distal sociological determinants of HIV disparities. PLoS ONE, 9(4), e91711. https://doi.org/10.1371/journal.pone.0091711
Dray-Spira, R., Gueguen, A., & Lert, F. (2008). Disease severity, self-reported experience of workplace discrimination and employment loss during the course of chronic HIV disease: Differences according to gender and education. Occupational and Environmental Medicine, 65, 112-119. doi:10.1136/oem.2007.034363
Dray-Spira, R., Lert, F., Marimoutou, C., Bouhnik, A. D., & Obadia, Y. (2003). Socio-economic conditions, health status and employment among persons living with HIV/AIDS in France in 2001. AIDS Care, 15, 739-748. doi:10.1080/09540120310001618595
Harrison, K. M., Ling, Q., Song, R., & Hall, H. I. (2008). County-level socioeconomic status and survival after HIV diagnosis. Annals of Epidemiology, 18, 919-927. doi:10.1016/j.annepidem.2008.09.003
Joy, R., Druyts, E. F., Brandson, E. K., Lima, V. D., Rustad, C. A., McPhil, R., & Hogg, R. S. (2008). Impact of neighborhood-level socioeconomic status on HIV disease progression in a universal health care setting. Journal of Acquired Immune Deficiency Syndromes, 47, 500-505. doi:10.1097/QAI.0b013e3181648dfd
Kalichman, S. C., Pellowski, J., Kalichman, M. O., Cherry, C., Detorio, M., Caliendo, A. M., & Schinazi, R. F. (2011). Food insufficiency and medication adherence among people living with HIV/AIDS in urban and peri-urban settings. Prevention Science, 12, 324-332. doi:10.1007/s11121-011-0222-9
Latkin, C. A., German, D., Vlahov, D., & Galea, S. (2013). Neighborhoods and HIV: A social ecological approach to prevention and care. American Psychologist, 68, 210-224. doi:10.1037/a0032704
Liu, Y., Canada, K., Shi, K., & Corrigan, P. (2012). HIV-related stigma acting as predictors of unemployment of people living with HIV/AIDS. AIDS Care, 24(1), 129-135. https://dx.doi.org/10.1080/09540121.2011.596512
McMahon, J., Wanke, C., Terrin, N., Skinner, S., & Knox, T. (2011). Poverty, hunger, education, and residential status impact survival in HIV. AIDS and Behavior, 15, 1503-1511. doi:10.1007/s10461-010-9759-z
National Rural Health Association. (2014). HIV/AIDS in rural America: Disproportionate impact on minority and multicultural populations. Retrieved from https://www.ruralhealthweb.org/advocate/policy-documents
Pellowski, J. A., Kalichman, S.C., Matthews, K. A., & Adler, N. (2013). A pandemic of the poor: Social disadvantage and the U.S. HIV epidemic. American Psychologist, 68, 197-209. doi:10.1037/a0032694
Riley, E. D., Gandhi, M., Hare, C. B., Cohen, J., & Hwang, S. W. (2007). Poverty, unstable housing, and HIV infection among women living in the United States. Current HIV/AIDS Reports, 4, 181-186. doi:10.1007/s11904-007-0026-5
Rubin, M. S., Colen, C. G., & Link, B. G. (2010). Examination of inequalities in HIV/AIDS mortality in the United States from a fundamental cause perspective. American Journal of Public Health, 100, 1053-1059. doi:10.2105/AJPH.2009.170241
Schechter, M. T., Hogg, R. S., Aylward, B., Craib, K. J., Le, T. N., & Montaner, J. S. (1994). Higher socio- economic status is associated with slower progression of HIV infection independent of access to health care. Journal of Clinical Epidemiology, 47, 59–67. doi:10.1016/0895-4356(94)90034-5
Schur, C. L., Berk, M. L., Dunbar, J. R., Shapiro, M. E., Cohn, S. E., & Bozzette, S. A. (2002). Where to seek care: An examination of people in rural areas with HIV/AIDS. The Journal of Rural Health, 18, 337-347. doi:10.1111/j.1748-0361.2002.tb00895.x
Young, S., Wheeler, A. C., McCoy, S. I., & Weiser, S. D. (2014). A review of the role of food insecurity in adherence to care and treatment among adult and pediatric populations living with HIV and AIDS. AIDS and Behavior, 18, S505-S515. doi:10.1007/s10461-013-0547-4
Sexual Orientation & SES
Badgett, M. V. L. (2012). Testimony on S.811, The Employment Non-Discrimination Act of 2011. Retrieved from https://williamsinstitute.law.ucla.edu/research/workplace/testimony-s811-061212/
Badgett, M. V. L., Durso, L. E., & Schneebaum, A. (2013). New patterns of poverty in the lesbian, gay, and bisexual community. Retrieved from https://williamsinstitute.law.ucla.edu/wp-content/uploads/LGB-Poverty-Update Jun-2013.pdf
Badgett, M. V. L., & Schneebaum, A. (2014). The impact of a higher minimum wage on poverty among same-sex couples. Retrieved from https://williamsinstitute.law.ucla.edu/wp-content/uploads/min-wage-simulation-april 2014.pdf
Durso, L. E., & Gates, G. J. (2012). Serving our youth: Findings from a national survey of service providers working with lesbian, gay, bisexual, and transgender youth who are homeless or at risk of becoming homeless. Retrieved from https://williamsinstitute.law.ucla.edu/research/safe-schools-and-youth/serving-our-youth-july-2012/
Fassinger, R. (2007, September). Sexual orientation and gender identity. PowerPoint presented at the American Psychological Association Fall Board Committee Meeting, Washington, DC.
Gamarel, K. E., Reisner, S. L., Parsons, J. T., & Golub, S. A. (2012). Association between socioeconomic position discrimination and psychological distress: Findings from a community-based sample of gay and bisexual men in New York City. American Journal of Public Health, 102, 2094-2101. doi:10.2105/AJPH.2012.300668
Gattis, M. N. (2009). Psychosocial problems associated with homelessness in sexual minority youths. Journal of Human Behavior in the Social Environment, 19, 1066-1094. doi:10.1080/10911350902990478
Grant, J. M., Mottet, L. A., Tanis, J., Harrison, J., Herman, J. L., & Keisling, M. (2011). Injustice at every turn: A report of the National Transgender Discrimination Survey. Washington, DC: National Center for Transgender Equality and National Gay and Lesbian Task Force.
Human Rights Campaign. (2015, July 16). HRC hails historic EEOC ruling on employment discrimination [Press release]. Retrieved from https://www.hrc.org/press/hrc-hails-historic-eeoc-ruling-on- employment-discrimination
Human Rights Campaign. (2017). State maps of laws and policies: Employment. Retrieved from https://www.hrc.org/state-maps/employment
Keuroghlian, A. S., Shtasel, D., & Bassuk, E. L. (2014). Out on the street: A public health and policy agenda for lesbian, gay, bisexual, and transgender youth who are homeless. American Journal of Orthopsychiatry, 84, 66-72. doi:10.1037/h0098852
McGarrity, L. A. (2014). Socioeconomic status as context for minority stress and health disparities among lesbian, gay, and bisexual individuals. Psychology of Sexual Orientation and Gender Diversity, 1, 383-397. doi:10.1037/sgd0000067
National Alliance to End Homelessness. (2009). National recommended best practices for serving LGBT homeless youth. Retrieved from https://www.endhomelessness.org/library/entry/national-recommended-best-practices-for-serving-lgbt-homeless-youth
Rosario, M., Schrimshaw, E. W., & Hunter, J. (2012). Homelessness among lesbian, gay, and bisexual youth: Implications for subsequent internalizing and externalizing symptoms. Journal of Youth and Adolescence, 41, 544–560. doi:10.1007/s10964-011-9681-3
Thomeer, M. B. (2013). Sexual minority status and self-rated health: the importance of socioeconomic status, age, and sex. American Journal of Public Health, 103, 881-888. doi:10.2105/AJPH.2012.301040
Wells, K. (2009). Research exploring the health, wellness, and safety concerns of sexual minority youth. The Canadian Journal of Human Sexuality, 18(4), 221-229.
Violence & SES
Acierno, R., Hernandez-Tejada, M., Muzzy, W., & Steve, K. (2009). Final report: National Elder Mistreatment Study. Retrieved from https://www.ncjrs.gov/pdffiles1/nij/grants/226456.pdf
Adams, A. E., Tolman, R. M., Bybee, D., Sullivan, C. M., & Kennedy, A. C. (2013). The impact of intimate partner violence on low-income women’s economic well-being: The mediating role of job stability. Violence Against Women, 18, 1345-1367. doi:10.1177/1077801212474294
American Psychological Association. (2009). Effective strategies to support positive parenting in community health centers: Report of the Working Group on Child Maltreatment Prevention in Community Health Centers. Washington, DC: Author.
American Psychological Association. (2012). Elder abuse & neglect: In search of solutions. Retrieved from https://www.apa.org/pi/aging/resources/guides/elder-abuse.pdf
Borofsky, L. A., Kellerman, I., Baucom, B., Oliver, P. H., & Margolin, G. (2013). Community violence exposures and adolescents’ school engagement and academic achievement over time. Psychology of Violence, 3, 1-15. doi:10.1037/a0034121
Centers for Disease Control and Prevention. (2014). Essentials for childhood: Steps to create safe, stable, nurturing relationships and environments. Retrieved from https://www.cdc.gov/violenceprevention/pdf/essentials_for_childhood_framework.pdf
Centers for Disease Control and Prevention. (2016). Adverse childhood experiences (ACEs). Retrieved from https://www.cdc.gov/violenceprevention/acestudy/index.html
Chen, P., Voisin, D. R., & Jacobson, K. C. (2016). Community violence exposure and adolescent delinquency: Examining a spectrum of promotive factors. Youth & Society, 48, 33-57. doi:10.1177/0044118X13475827
Child Trends. (2013). Adverse experiences: Indicators of child and youth well-being. Retrieved from https://www.childtrends.org/wp-content/uploads/2013/07/124_Adverse_Experiences-1.pdf
Covey, H. C., Menard, S., & Franzese, R. J. (2013). Effects of adolescent physical abuse, exposure to neighborhood violence, and witnessing parental violence on adult socioeconomic status. Child Maltreatment, 18, 85-97. doi:10.1177/1077559513477914
Crowne, S. S., Juon, H. S., Ensminger, M., Burrell, L., McFarlane, E., & Duggan, A. (2011). Concurrent and long-term impact of intimate partner violence on employment stability. Journal of Interpersonal Violence, 26, 1282-1304. doi:10.1177/0886260510368160
Davis, L. L., Leon, A. C., Toscano, R., Drebing, C. E., Ward, L. C., Parker, P. E., . . . Drake, R. E. (2012). A randomized controlled trial of supported employment among veterans with posttraumatic stress disorder. Psychiatric Services, 63, 464-470. doi:10.1176/appi.ps.201100340
Department of Health and Human Services. (2001). Youth violence: A report of the Surgeon General. Retrieved from https://www.ncbi.nlm.nih.gov/books/NBK44294/
Eisman, A. B., Stoddard, S. A., Heinze, J., Caldwell, C. H., & Zimmerman, M. A. (2015). Depressive symptoms, social support, and violence exposure among urban youth: A longitudinal study of resilience. Developmental Psychology, 51, 1307-1316. https://dx.doi.org/10.1037/a0039501
Fang, X., Brown, D. S., Florence, C. S., & Mercy, J. A. (2012). The economic burden of child maltreatment in the United States and implications for prevention. Child Abuse & Neglect, 36, 156-165. https://doi.org/10.1016/j.chiabu.2011.10.006
Fonagy, P., Twemlow, S. W., Hardaway, C. R., McLoyd, V. C., & Wood, D. (2012). Exposure to violence and socioemotional adjustment in low‐income youth: An examination of protective factors. American Journal of Community Psychology, 49, 112-126. doi:10.1007/s10464-011-9440-3
Jain, S., Buka, S. L., Subramanian, S. V., & Molnar, B. E. (2012). Protective factors for youth exposed to violence role of developmental assets in building emotional resilience. Youth Violence and Juvenile Justice, 10, 107-129. doi:10.1177/1541204011424735
Jain, S., & Cohen, A. K. (2013). Behavioral adaptation among youth exposed to community violence: A longitudinal multidisciplinary study of family, peer and neighborhood-level protective factors. Prevention Science, 14, 606-617. doi:10.1007/s11121-012-0344-8
Leonard, J. A., Mileviciute, I., Aase, D. M., Stevens, E., DiGangi, J., Contreras, R., & Ferrari, J. R. (2011). How type of treatment and presence of PTSD affect employment, self-regulation, and abstinence. American Journal of Psychology, 13, 175-185.
McMahon, S. D., Todd, N. R., Martinez, A., Coker, C., Sheu, C. F., Washburn, J., & Shah, S. (2013). Aggressive and prosocial behavior: Community violence, cognitive, and behavioral predictors among urban African American youth. American Journal of Community Psychology, 51, 407-421. doi:10.1007/s10464-012-9560-4
Milam, A. J., Furr-Holden, C. D. M., & Leaf, P. J. (2010). Perceived school and neighborhood safety, neighborhood violence and academic achievement in urban school children. The Urban Review, 42, 458-467. doi:10.1007/s11256-010-0165-7
Murdoch, M. (2006). Does PTSD service connection affect disease course and functioning? Retrieved from https://www.hsrd.research.va.gov/research/abstracts.cfm?Project_ID=2141693710&UnderReview=no
National Center for Injury Prevention and Control. (2003). Costs of intimate partner violence against women in the United States. Atlanta, GA: Centers for Disease Control and Prevention.
Nguyen, Q. C., Hussey, J. M., Halpern, C. T., Villaveces, A., Marshall, S. W., Siddiqi, A., & Poole, C. (2012). Adolescent expectations of early death predict young adult socioeconomic status. Social Science & Medicine, 74, 1452-1460. doi:10.1016/j.socscimed.2012.01.006
Savoca, E., & Rosenheck, R. (2000). The civilian labor market experiences of Vietnam-era veterans: The influence of psychiatric disorders. Journal of Mental Health Policy and Economics, 3, 199-207. https://dx.doi.org/10.1002/mhp.102
Strom, I. F., Thoresen, S., Wentzel-Larsen, T., & Dyb, G. (2013). Violence, bullying, and academic achievement: A study of 15-year-old adolescents and their school environment. Child Abuse & Neglect, 37, 243-251. doi:10.1016/j.chiabu.2012.10.010
The United States Conference of Mayors. (2015). Hunger and homelessness survey: A status report on hunger and homelessness in America’s cities. Retrieved from https://chicagohelpinitiative.org/assets/uploads/files/1221-report-hhreport.pdf
Voisin, D. R., & Neilands, T. B. (2010). Community violence and health risk factors among adolescents on Chicago’s Southside: Does gender matter? Journal of Adolescent Health, 46, 600-602. doi:10.1016/j.jadohealth.2009.11.213
Women & SES
Cawthorne, A. (2008, October 8). The straight facts on women in poverty. Retrieved from https://www.americanprogress.org/issues/women/reports/2008/10/08/5103/the-straight-facts-on-women-in-poverty/#_edn1
Centers for Disease Control and Prevention. (2012). HIV in the United States–The stages of care. Retrieved from https://www.cdc.gov/hiv/pdf/research_mmp_stagesofcare.pdf
Du, X. L., Fang, S., & Meyer, T. E. (2008). Impact of treatment and socioeconomic status on racial disparities in survival among older women with breast cancer. American Journal of Clinical Oncology, 31, 125-132. doi:10.1097/COC.0b013e3181587890
Eichener, A., & Robbins, G. (2015). National snapshot: Poverty among women & families, 2014. Retrieved from https://nwlc.org/resources/national-snapshot-poverty-among-women-families-2014/
Entmacher, J., Robbins, K. G., Vogtman, J., & Frohlich, L. (2013). Insecure and unequal: Poverty and income among women and families 2000-2012. Washington, DC: National Women’s Law Center.
Henry J. Kaiser Family Foundation. (2012, September). Women and HIV/AIDS in the United States. Menlo Park, CA: Author.
HIV Prevention Trials Network. (2012, July 27). Expanded analysis of HPTN 052 study results show cost-effectiveness of early treatment of HIV [Press release]. Retrieved from https://www.hptn.org/news-and-events/press-releases/expanded-analysis-of-hptn-052-study-results-show-cost-effectiveness
Lee, H., Harris, K. M., & Gordon-Larsen, P. (2009). Life course perspectives on the links between poverty and obesity during the transition to young adulthood. Population Research and Policy Review, 28, 505-532. doi:10.1007/s11113-008-9115-4
Mulia, N., Schmidt, L., Bond, J., Jacobs, L., & Korcha, R. (2008). Stress, social support and problem drinking among women in poverty. Addiction, 103, 1283-1293. doi:10.1111/j.1360-0443.2008.02234.x
Sabatino, S. A., Coates, R. J., Uhler, R. J., Breen, N., Tangka, F., & Shaw, K. M. (2008). Disparities in mammography use among U.S. women aged 40-64 years, by race, ethnicity, income, and health insurance status, 1993 and 2005. Medical Care, 46, 692-700. doi:10.1097/MLR.0b013e31817893b1
U.S. Census Bureau. (2006). American Community Survey: Selected economic characteristics. Retrieved from https://www.census.gov/acs/www/index.html
U.S. Census Bureau. (XXXX). Current population survey (CPS), 2014 annual social and economic (ASEC) supplement, 2013 poverty table of contents, POV29. Years of school completed by poverty status, sex, age, nativity and citizenship. Retrieved from https://www.census.gov/hhes/www/cpstables/032014/pov/pov29_100.htm
Vericker, T., Macomber, J., & Golden, O. (2010, August 1). Infants of depressed mothers living in poverty: Opportunities to identify and serve. Retrieved from https://www.urban.org/research/publication/infants-depressed-mothers-living-poverty-opportunities-identify-and-serve
Work, Stress, and Health & SES
Aittomäki, A., Lahelma, E., & Roos, E. (2003). Work conditions and socioeconomic inequalities in work ability. Scandinavian Journal of Work, Environment & Health, 29, 159-165.
Barbeau, E. M., Krieger, N., & Soobader, M. (2004). Working class matters: Socioeconomic disadvantage, race/ethnicity, gender, and smoking in NHIS 2000. American Journal of Public Health, 94, 269-278. doi:10.2105/AJPH.94.2.269
Barger, L. K., Cade, B. E., Ayas, N. T., Cronin, J. W., Rosner, B., Speizer, F. E., & Czeisler, C. A. (2005). Extended work shifts and risk of motor vehicle crashes among interns. New England Journal of Medicine, 352, 125-3. doi:10.1056/NEJMoa041401
Becker, P. E., & Moen, P. (1999). Scaling back: Dual-earner couples’ work–family strategies. Journal of Marriage and the Family, 61, 995-1007. doi:10.2307/354019
Blustein, D. L. (2006). The psychology of working: A new perspective for career development, counseling, and public policy. Mahwah, NJ: Erlbaum.
Blustein, D. L. (2008). The role of work in psychological health and well-being: A conceptual, historical, and public policy perspective. American Psychologist, 63, 228-240. https://dx.doi.org/10.1037/0003-066X.63.4.228
Brown, S. D., & Lent, R. W. (2005). Career development and counseling: Putting theory and research to work. Hoboken, NJ: Wiley.
Clarke, S. (2006). The relationship between safety climate and safety performance: A meta-analytic review. Journal of Occupational Health Psychology, 11, 315-327. doi:10.1037/1076-8998.11.4.315
Cochrane, G. (2001, July). The effects of sleep deprivation. The FBI Law Enforcement Bulletin, 70(7), 22-25. Retrieved from https://leb.fbi.gov/2001-pdfs/leb-july-2001
Dembe, A. E, Erickson, J. B., Delbos, R. G., & Banks, S. M. (2005). The impact of overtime and long work hours on occupational injuries and illnesses: New evidence from the United States. Occupational Environmental Medicine, 62, 588-597. https://dx.doi.org/10.1136/oem.2004.016667
Ferrie, J. E., Shipley, M. J., Stansfeld, S. A., & Marmot, M. G. (2002). Effects of chronic job insecurity and change in job security on self-reported health, minor psychiatric morbidity, physiological measures, and health related behaviours in British civil servants: The Whitehall II study. Journal of Epidemiology and Community Health, 56, 450-454. https://dx.doi.org/10.1136/jech.56.6.450
Gillen, M., Baltz, D., Gassel, M., Kirsch, L., & Vaccaro, D. (2002). Perceived safety climate, job demands, and coworker support among union and nonunion injured construction workers. Journal of Safety Research, 33, 33-51. https://dx.doi.org/10.1016/S0022-4375(02)00002-6
Guimont, C., Brisson, C., Dagenais, G. R., Milot, A., Vézina, M., Mâsse, B., … Blanchette, C. (2006). Effects of job strain on blood pressure: A prospective study of male and female white collar workers. American Journal of Public Health, 96, 1436-1443. doi:10.2105/AJPH.2004.057679
Hall, D. T. (1996). The career is dead–long live the career: A relational approach to careers. San Francisco, CA: Jossey-Bass.
Heaney, C. A., Israel, B. A., & House, J. S. (1994). Chronic job insecurity among automobile workers: Effects on job satisfaction and health. Social Science & Medicine, 38, 1431-1437. https://doi.org/10.1016/0277-9536(94)90281-X
Karsten, P. I., & Moser, K. (2009). Unemployment impairs mental health: Meta-analyses. Journal of Vocational Behavior, 74, 264-282. https://doi.org/10.1016/j.jvb.2009.01.001
Kuper, H., & Marmot, M. (2003). Job strain, job demands, decision latitude, and risk of coronary heart disease within the Whitehall II study. Journal of Epidemiology and Community Health, 57, 147-153. https://dx.doi.org/10.1136/jech.57.2.147
Landsbergis, P. A., Cahill, J., & Schnall, P. (1999). The impact of lean production and related new systems of work organization on worker health. Journal of Occupational Health Psychology, 4, 108-130. https://dx.doi.org/10.1037/1076-8998.4.2.108
Landsbergis, P. A., Schnall, P. L., Pickering, T. G., Warren, K., & Schwartz, J. E. (2003). Lower socioeconomic status among men in relation to the association between job strain and blood pressure. Scandinavian Journal of Work, Environment & Health, 29, 206-215. doi:10.5271/sjweh.723
MacDonald, L., Harenstam, A., Warren, N., & Punnett, L. (2008). Incorporating work organization into occupational health research: An invitation for dialogue. Occupational and Environmental Medicine, 65, 1-3. https://dx.doi.org/10.1136/oem.2007.033860
Mohr, G. B. (2000). The changing significance of different stressors after the announcement of bankruptcy: A longitudinal investigation with special emphasis on job insecurity. Journal of Organizational Behavior, 23, 337-359. doi:10.1002/(SICI)1099-1379(200005)21:3<337::AID-JOB18>3.0.CO;2-G
Richman, A., Johnson, A., & Buxham, L. (2006). Workplace flexibility for lower wage workers. Washington, DC: Corporate Voices for Working Families’ Workplace Flexibility Project.
Sheiner, E. K., Sheiner, E., Carel, R., Potashnik, G., & Shoham-Vardi, I. (2002). Potential association between male infertility and occupational psychological stress. Journal of Occupational & Environmental Medicine, 44, 1093-1099.
Sorensen, G., Barbeau, E., Hunt, M. K., & Emmons, K. (2004). Reducing social disparities in tobacco use: A social contextual model for reducing tobacco use among blue-collar workers. American Journal of Public Health, 94, 230-239. doi:10.2105/AJPH.94.2.230
Spector, P. E. (2005). Industrial and organizational psychology: Research and practice. Hoboken, NJ: Wiley.
Sverke, M., Hellgren, J., & Näswall, K. (2002). No security: A meta-analysis and review of job insecurity and its consequences. Journal of Occupational Health Psychology, 7, 242-264. https://dx.doi.org/10.1037/1076-8998.7.3.242
Wanberg, C. R. (2012). The individual experience of unemployment. The Annual Review of Psychology, 63, 369-96. doi:10.1146/annurev-psych-120710-100500
Wilson, G., & Mossakowski, K. (2009). Fear of job loss. Du Bois Review: Social Science Research on Race, 6, 357-374. https://doi.org/10.1017/S1742058X09990221