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Welfare Receipt Trajectories of African-American Women Followed for 30 Years

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Abstract

Although there has been much discussion about the persistence of poverty and welfare receipt among child-rearing women in the US, little is known about long-term patterns of poverty and welfare receipt or what differentiates those who remain on welfare from those who do not. Furthermore, are there distinctions between child-rearing women who are poor but not on welfare from those who do receive welfare? This study examined trajectories of welfare receipt and poverty among African-American women (n = 680) followed from 1966 to 1997. A semiparametric group-based approach revealed four trajectories of welfare receipt: no welfare (64.2%), early leavers (12.7%), late leavers (10.1%), and persistent welfare recipients (10.1%). The “no welfare” group was further divided into a poverty group and a not poverty group to distinguish predictors of welfare from predictors of poverty. Multivariate analyses revealed differences in predictors of trajectory groups in terms of education, physical and psychological health, and social integration. In addition, earlier chronic illness and social integration were important predictors to differentiate between long-term users (i.e., late leavers, persistent recipients) and short-term users (i.e., early leavers). Trajectories did not differ in teenage motherhood, substance use, or family history of welfare receipt. Implications for public policy are discussed.

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References

  1. Corcoran M, Danziger S, Tolman R. Long term employment of African-American and white welfare recipients and the role of persistent health and mental health problems. Women Health. 2004; 39: 21–40.

    Article  PubMed  Google Scholar 

  2. Danziger SK, Corcoran M, Danziger S, et al. Barriers to the employment of welfare recipients. In: Cherry R, Rodgers WM III, eds. Prosperity for All? The Economic Boom and African American. New York: Russell Sage Foundation; 2002: 239–272.

    Google Scholar 

  3. Ensminger ME, Juon HS. The influence of patterns of welfare receipt during the child rearing years on later physical and psychological health. Women Health. 2001; 32: 25–46.

    Article  CAS  PubMed  Google Scholar 

  4. Schmidt L, Weisner C, Wiley J. Substance abuse and the course of welfare dependency. Am J Public Health. 1998; 88: 1616–1622.

    Article  CAS  PubMed  Google Scholar 

  5. Hamil-Luker J. Trajectories if public assistance receipt among female high school dropouts. Popul Res Policy Rev. 2005; 24: 673–694.

    Article  Google Scholar 

  6. Piven FF, Cloward RA. Regulating the Poor: Functions of Public Welfare. New York: Vingate Books; 1971.

    Google Scholar 

  7. Jarrett RL. Welfare stigma among low-income African American single mothers. Fam Relat. 1996; 45: 368–374.

    Article  Google Scholar 

  8. Coser LA. The sociology of poverty. Soc Probl. 1995; 13: 140–148.

    Article  Google Scholar 

  9. O’Neill JA, Bassi LJ, Wolf DA. The duration of welfare spells. Rev Econ Stat. 1987; 69: 241–248.

    Article  Google Scholar 

  10. Kellam SG, Branch JD, Agrawal KC, Ensminger ME. Mental Health and Going to School: The Woodlawn Program of Assessment, Early Intervention, and Evaluation. Chicago: University of Chicago Press; 1975.

    Google Scholar 

  11. Danziger S, Kalil A, Anderson N. Human capital, health and mental health of welfare recipients: co-occurrence and correlates. J Soc Issues. 2000; 56: 635.

    Article  Google Scholar 

  12. Corcoran M, Adams T. Family neighborhood welfare dependency and son’s labor supply. J Fam Econ Iss. 1995; 16(2/3): 239–264.

    Article  Google Scholar 

  13. Martin MA. The role of family income in the intergenerational association of AFDC receipt. J Marriage Fam. 2003; 65: 326–340.

    Article  Google Scholar 

  14. Boisjoly J, Harris K, Duncan GJ. Initial welfare spells: trends, events, and duration. Soc Sci Rev. 1998; 72: 466–492.

    Google Scholar 

  15. National Center for Education Statistics. The Condition of Education: 1998. Washington: U.S. Department of Education, Office of Educational Research, NCES; 1998: 98–013.

    Google Scholar 

  16. Ensminger ME. Welfare and psychological distress: a longitudinal study of African American urban mothers. J Health Soc Behav. 1995; 36: 346–359.

    Article  CAS  PubMed  Google Scholar 

  17. Simmel G. The poor. Soc Probl. 1965; 13: 118–140.

    Article  Google Scholar 

  18. Coire MJ. Depressive symptoms among women receiving welfare. Women Health. 2001; 39: 1–23.

    Google Scholar 

  19. Loprest PJ. How are Families that Left Welfare Doing? A Comparison of Early and Recent Welfare Leavers. Assessing the New Federalism Brief, Series B, No. B-35. Washington: The Urban Institute; 2001.

    Google Scholar 

  20. Danziger SK. Why some women fail to achieve economic security: low job skills and mental health problems are key barriers. Forum. 2001; 4: 1–3.

    Google Scholar 

  21. Horwitz SM, Kerker BD. Impediments to employment under welfare reform: the importance of physical health and psychosocial characteristics. Women Health. 2001; 32: 101–117.

    Article  CAS  PubMed  Google Scholar 

  22. GAO. Welfare Reform: Moving Hard-to-Employ Recipients into the Workforce. Washington: United States General Accounting Office; 2001. GAO-01–368.

    Google Scholar 

  23. Jayakody R, Danziger S, Pollack H. Welfare reform, substance use, and mental health. J Health Polit Policy Law. 2000; 25: 623–651.

    Article  CAS  PubMed  Google Scholar 

  24. Patterson SM, Friel LV. Psychological distress, hopelessness and welfare. Women Health. 2001; 32: 79–99.

    Article  Google Scholar 

  25. Williams CT, Juon HS, Ensminger ME. Marijuana and cocaine use among female African-American welfare recipients. Drug Alcohol Depend. 2004; 75: 185–191.

    Article  PubMed  Google Scholar 

  26. Olson K, Pavetti L. Personal and Family Challenges to the Successful Transition from Welfare to Work. Washington: The Urban Institute; 1996.

    Google Scholar 

  27. Schmidt L, McCarty D. Welfare reform and the changing landscape of substance abuse services for low-income women. Alcohol Clin Exp Res. 2000; 24: 1298–1311.

    Article  CAS  PubMed  Google Scholar 

  28. Grant BF, Dawson DA. Alcohol and drug use, abuse, and dependence among welfare recipients. Am J Public Health. 1996; 86: 1450–1454.

    Article  CAS  PubMed  Google Scholar 

  29. Kellam SG, Ensminger ME, Simon MB. Mental health in first grade and teenage drug, alcohol, and cigarette use. Drug Alcohol Depend. 1980; 5: 273–304.

    Article  CAS  PubMed  Google Scholar 

  30. Brown DR, Cochran DL. Multiple social roles and multiple stressors for black women. In: Brown DR, Keith VM, eds. In and Out of Our Right Minds: The Mental Health of African American Women. New York: Columbia University Press; 2003.

    Google Scholar 

  31. Rook KS, Pietromonaco P. Close relationships: ties that heal or ties that bind? Adv Pers Relatsh. 1987; 1: 1–35.

    Google Scholar 

  32. Babchuck N, Edwards JN. Volunteer associations and the integration hypothesis. Sociol Inq. 1965; 35: 149–162.

    Article  Google Scholar 

  33. Moen P, Dempster-McClain D, Williams RM. Social integration and longevity: an event history analysis of women’s roles and resilience. Am Sociol Rev. 1989; 54: 635–647.

    Article  Google Scholar 

  34. Long LH, Heltman LR. Migration and income differences between Black and White men in the North. Am J Sociol. 1975; 80: 1391–1409.

    Article  Google Scholar 

  35. Long LH. Poverty status and receipt welfare among migrants and nonmigrants in large cities. Am Sociol Rev. 1974; 39: 46–56.

    Article  Google Scholar 

  36. Brown CH, Adams RG, Kellam SG. A longitudinal study of teenage motherhood and symptoms of distress: the Woodlawn community epidemiological project. Res Community Ment Health. 1981; 2: 183–213.

    Google Scholar 

  37. Bryk AS, Raudenbush SW. Hierarchical Linear Models. Thousand Oaks: Sage; 1992.

    Google Scholar 

  38. Muthén B. Latent variable analysis: growth mixture modeling and related techniques for longitudinal data. In: Kaplan D, ed. Handbook of Quantitative Methodology for the Social Sciences. Newbury Park: Sage; 2004: 345–368.

    Google Scholar 

  39. Nagin DS. Analyzing developmental trajectories: a semiparametric group-based approach. Psychol Methods. 1999; 4: 139–157.

    Article  Google Scholar 

  40. D’Unger AV, Land KC, McCall PL, Nagin DS. How many latent classes of delinquent/criminal careers? Results from mixed Poisson regression analyses. Am J Sociol. 1998; 103: 1593–1630.

    Article  Google Scholar 

  41. Raftery AE. Bayesian model selection in social research. Sociol Method. 1995; 25: 111–164.

    Article  Google Scholar 

  42. Jones BL, Nagin D, Roeder K. A SAS procedure based on mixture models for estimating developmental trajectories. Sociol Methods Res. 2001; 29: 374–393.

    Article  Google Scholar 

  43. Hosmer DW, Lemeshow S. Applied Logistic Regression. New York: Wiley; 2000.

    Book  Google Scholar 

  44. Schwartz W. School Dropouts: New Information about an Old Problem. ERIC Digest. New York: ERIC Clearinghouse on Urban Education; 1995.

    Google Scholar 

  45. House JS. Understanding social factors and inequalities in health: 20th century progress and 21st century prospects. J Health Soc Behav. 2001; 43: 125–142.

    Article  Google Scholar 

  46. Kasper JD, Ensminger ME, Green KM, et al. Effects of poverty and family stress over three decades on functional status of older African American women. J Gerontol B Psychol Sci Soc Sci. 2008; 63: S201–S210.

    PubMed  Google Scholar 

  47. Link BG, Phelan JC. Evaluating the fundamental cause explanation for social disparities in health. In: Bird CE, Conrad P, Fremont AM, eds. Handbook of Medical Sociology. 5th ed. Englewood Cliffs: Prentice Hall; 2000: 33–46.

    Google Scholar 

  48. Compton WM, Grant BF, Colliver JD, Glanz MD, Stinson FS. Prevalence of marijuana use disorders in the United States. 1991–1992 and 2001–2002. JAMA. 2004; 291: 2114–2121.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

This research was supported by the National Institute of Aging (1R01AGO27051-01; Ensminger, PI) and the National Institute of Mental Health (R01 MH52336; Ensminger, PI). The Woodlawn Advisory Board contributed to the conduct of the project. Mrs. Jeannette Branch (deceased) and Ms. Derian King of the Advisory Board were key participants in the design of the overall project. Ms. Sally Murphy and Ms. Ezella Pickett from NORC were particularly helpful in the collection of these data.

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Correspondence to Hee-Soon Juon PhD.

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Juon, HS., Green, K.M., Fothergill, K.E. et al. Welfare Receipt Trajectories of African-American Women Followed for 30 Years. J Urban Health 87, 76–94 (2010). https://doi.org/10.1007/s11524-009-9413-0

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