Abstract
Over the past decade, the concept of family resilience among impoverished families has increased as a main focus area for family scholars. Similarly, individual, family, and community-level factors that promote family resilience and their impact on behavioral health outcomes have particularly received increased amounts of attention. To date, however, few empirical studies have simultaneously validated the socioecological determinants of family resilience within multi-dimensional conceptual frameworks. In the current study, we test such a model using a cross-sectional design among 380 women and men with an average age of 35 experiencing poverty as a chronic stressor, the majority of whom are ethnic minorities. Individual, family and community determinants of family resilience are examined for their differential effect on outcomes of physical and mental health, as well as risks for substance abuse. Results from structural equation modeling provide support for the model. Findings suggest that community-level determinants impact health through indirect pathways. In this case, community factors predict family and individual-level determinants, and individual factors then directly predict health. Similarly, the relationship between family-level determinants and health was indirect through individual-level factors. Although, a strong positive relationship was found between individual-level determinants and health, the relationship between individual-level factors and substance abuse was also found to be indirect through health. Methodological limitations and implications for family life education, clinical interventions, policy, and future research that are socioecologically-informed are discussed.
Similar content being viewed by others
References
Anonymous. (2014). A deeper look at the social support index: A multidimensional assessment. The American Journal of Family Therapy, 42, 243–256.
Bentler, P. (2006). EQS structural equations program manual. Encino, CA: Multivariate Software.
Benzies, K., & Mychasiuk, R. (2009). Fostering family resiliency: A review of the key protective factors. Child and Family Social Work, 14, 103–114.
Bhana, A., & Bachoo, S. (2011). The determinants of family resilience among families in low- and middle-income contexts: A systematic literature review. South African Journal of Psychology, 41, 131–139.
Bronfenbrenner, U. (1979). The ecology of human development: Experiments by nature and design. Cambridge: Harvard University Press.
Conger, R. D., Conger, K. J., Elder, G. H, Jr., Lorenz, F. O., Simons, R. L., & Whitbeck, L. B. (1992). A family process model of economic hardship and adjustement of early adolescent boys. Child Development, 63, 526–541.
Conger, R. D., Conger, K. J., & Martin, M. J. (2010). Socioeconomic status, family processes, and individual development. Journal of Marriage and Family, 72, 685–704. doi:10.1111/j.1741-3737.2010.00725.x.
Corcoran, M., Danziger, S. K., & Tolman, R. (2004). Long term employment of African-American and White welfare recipients and the role of persistent health and mental health problems. Women and Health, 39, 21–40. doi:10.1300/J013v39n04_02.
Danziger, S. K., Corcoran, M., Danziger, S. H., Helflin, C., Kalil, A., Levine, J., et al. (1999). Barriers to the employment of welfare recipients. Ann Arbor, MI: University of Michigan.
Derogatis, L. R. (1993). Brief Symptom Inventory (BSI) administration, scoring, and procedures manual (4th ed.). Minneapolis, MN: National Computer Systems.
HUD. (2011). Financial Literacy Resources Retrieved August 9, 2011, from http://www.hud.gov/offices/hsg/mfh/nnw/consortia/consortiafinancialliteracy.cfm.
Hungelmann, J., Kenkel-Rossi, E., Klassen, L., & Stottenwerk, R. (1989). JAREL spiritual well-being scale. Milaukee, WI: Marquette University College of Nursing.
Joshi, P., Hardy, E., & Hawkins, S. (2009). The role of religiosity in the lives of the low-income population: A comprehensive review of the evidence. Washington, D.C.: U.S. Department of Health and Human Services.
Keene, D., & Geronimus, A. (2011). Community-based support among African American public housing residents. Journal of Urban Health, 88(1), 41–53. doi:10.1007/s11524-010-9511-z.
Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd ed.). New York, NY: Guilford press.
Landau, J. (2010). Communities that care for families: The LINC model for enhancing individual, family, and community resilience. American Journal of Orthopsychiatry, 80(4), 516–524. doi:10.1111/j.1939-0025.2010.01054.x.
McCubbin, H. I., Thompson, A. I., & McCubbin, M. A. (1996). Family assessment: Resiliency, coping, and adaptation. Inventories for research and practice (3rd ed.). Madison, WI: University of Wisconsin Publishers.
Mujahid, M., Diez Roux, A., Morenoff, J., & Raghunathan, T. (2007). Assessing the measurement properties of neighborhood scales: From psychometrics to ecometrics. American Journal of Epidemiology, 165, 858–867.
National Housing Law Project. (2002). False hope: A critical assessment of the HOPE VI public housing redevelopment program. San Francisco: National Housing Law Project.
Olson, D. H. (1986). Circumplex model VII: Validation studies and FACES-III. Family Process, 25(3), 337–351.
Parkerson, G. R., Broadhead, W. E., & Tse, C. J. (1990). The Duke health profile: A 17-item measure of health and dysfunction. Medical Care, 28, 1056–1072.
Phinney, J. S. (1992). The multigroup ethnic identity measure. Journal of Adolescent Research, 7, 156–176. doi:10.1177/074355489272003.
Reed, P. G. (1986). Religiousness among terminally ill and healthy adults. Research in Nursing & Health, 9, 35–42.
Rosenberg, M. (1979). Conceiving the self. New York: Basic Books.
Seccombe, K. (2002). ‘Beating the odds’ versus ‘changing the odds’: Poverty, resilience, and family policy. Journal of Marriage and Family, 64, 384–394.
Simning, A., van Wijngaarden, E., & Conwell, Y. (2011). Anxiety, mood, and substance use disorders in United States African-American public housing residents. Social Psychiatry and Psychiatric Epidemiology, 46, 983–992. doi:10.1007/s00127-010-0267-2.
Snyder, C. R., Sympson, S. C., Ybasco, F. C., Borders, T. F., Babyak, M. A., & Higgins, R. L. (1996). Development and validation of the State Hope Scale. Journal of Personality and Social Psychology, 70, 321–335.
Stansfeld, S. A., Head, J., & Marmot, M. G. (1998). Explaining social class differences in depression and well-being. Social Psychiatry and Psychiatric Epidemiology, 33, 1.
Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Boston: Allyn and Bacon.
Taylor, R. D. (2015). Kin social undermining, adjustment and family relations among low-income African American mothers and adolescents: Moderating effects of kin social support. Journal of Child and Family Studies, 24, 1271–1284.
Ungar, M. (2011). The social ecology of resilience: Addressing contextual and cultural ambiguity of a nascent construct. American Journal of Orthopsychiatry, 81, 1–17.
Walsh, F. (2003). Family resilience: A framework for clinical practice. Family Process, 42, 1–18. doi:10.1111/j.1545-5300.2003.00001.x.
Wenzel, S. L. (1993). Gender, ethnic group, and homelessness as predictors of locus of control among job training participants. The Journal of Social Psychology, 133, 495–505.
Wiggers, J., Radvan, D., Clover, K., Hazell, T., Alexander, J., & Considine, R. (2001). Public housing, public health: Health needs of public housing tenants. Australian and New Zealand Journal of Public Health, 25, 111–114.
World Health Organization ASSIST Working Group. (2002). The alcohol, smoking and substance abuse involvement screening test (ASSIST): Development, reliability and feasibility. Addiction, 97, 1183.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Human and Animal Rights
All procedures performed in this study with human participants were in accordance with the ethical standards of the institution or practice at which the studies were conducted. The Institutional Review Board of the researchers’ university reviewed and approved the study design and consent process (Cert # 5120032).
Informed Consent
Informed consent was obtained from all individual participants included in the study.
Rights and permissions
About this article
Cite this article
Taylor, S.D., Distelberg, B. Predicting Behavioral Health Outcomes Among Low-Income Families: Testing a Socioecological Model of Family Resilience Determinants. J Child Fam Stud 25, 2797–2807 (2016). https://doi.org/10.1007/s10826-016-0440-7
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10826-016-0440-7