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03-01-2019 | Original Paper

Beyond Income: Expanding our Empirical Toolkit to Better Predict Caregiver Well-Being

Auteurs: Eliana Hurwich-Reiss, Sarah Enos Watamura, C. Cybele Raver, The BTS Consortium PI’s

Gepubliceerd in: Journal of Child and Family Studies | Uitgave 3/2019

Abstract

Objectives

Despite growing concern that income alone does not capture how low-income families are managing financially, it continues to be one of the most commonly used indicators of socioeconomic status and is routinely used as a qualifying factor for government assistance programs. Income can be difficult to measure accurately and alone may not be the best predictor of caregiver well-being, in particular among ethnically diverse families. A more nuanced understanding may be critical for identifying families in need of services and supporting success after enrollment in need-based programming. Thus, the current study investigated the relationship between traditional (low income, low education, unemployment), and less traditional (economic pressure, economic hardship, perceived social status, crowding) socioeconomic indicators and caregiver well-being (caregiver depressive symptoms, anxiety, dysfunction in the parent-child relationship) using data from a multisite study.

Methods

Participants were 978 racially/ethnically diverse caregivers (97% female) of young children enrolled in Early Head Start programming from six sites across the United States.

Results

Exploratory factor analyses resulted in a three-factor model, capturing demographic risk, resource strain, and perceived social status. The Resource Strain factor was most strongly associated with greater caregiver depressive and anxiety symptoms, and dysfunction in the parent-child relationship. Further, hierarchical regression models revealed up to a four-fold increase in variance explained when adding economic strain along with traditional variables to models predicting caregiver well-being.

Conclusions

Results support the need to supplement traditional economic measurement when supporting families experiencing low income and for measuring poverty among ethnically diverse families.

vorige artikel Bidirectional Dependency of Developmental and Social Difficulties in Hearing Impaired Children on the Mother’s State Anxiety

volgende artikel Qualitative Assessment of Emotion Regulation Strategies for Prevention of Health Risk Behaviors in Early Adolescents

Abidin, R. R. (1990). Parenting Stress Index/Short Form Test Manual. Charlottesville: Pediatric Psychology Press.

Adler, N. E., Epel, E. S., Castellazzo, G., & Ickovics, J. R. (2000). Relationship of subjective and objective social status with psychological and physiological functioning: preliminary data in healthy, White women. Health Psychology, 19(6), 586. https://doi.org/10.1037//0278-6133.19.6.586.CrossRefPubMed

Beeber, L. S., Holditch-Davis, D., Perreira, K., Schwartz, T. A., Lewis, V., Blanchard, H., Canuso, R., & Goldman, B. D. (2010). Short-term in-home intervention reduces depressive symptoms in early head start Latina mothers of infants and toddlers. Research in Nursing & Health, 33(1), 60–76. https://doi.org/10.1002/nur.20363.CrossRef

Blake, K. S., Kellerson, R. L., & Simic, A. (2007). Measuring overcrowding in housing. Washington, DC: Department of Housing and Urban Development, Office of Policy Development and Research.

Child Trends (2015). Head Start: Indicators of child and youth well-being. Bethesda: Child Trends. https://www.childtrends.org/wp-content/uploads/2015/03/97_Head_Start.pdf.

Cohn, D., & Caumont, A. (2016). 10 demographic trends that are shaping the US and the world. Washington, DC: Fact Tank, Pew Research Center. http://www.pewresearch.org/fact-tank/2016/08/31/migrant-remittances-worldwide-drop-in-2015-for-first-time-since-great-recession/.

Conger, R., Ge, X., Elder, G., Lorenz, F., & Simons, R. (1992). A family process model of economic hardship and adjustment of early adolescent boys. Child Development, 63(3), 526–541. https://doi.org/10.1111/j.1467-8624.1992.tb01644.x.CrossRefPubMed

Conger, R. D., Wallace, L. E., Sun, Y., Simons, R. L., McLoyd, V. C., & Brody, G. H. (2002). Economic pressure in African American families: a replication and extension of the family stress model. Developmental Psychology, 38(2), 179. https://doi.org/10.1037//0012-1649.38.2.179.CrossRefPubMed

Connor, P. (2016). Migrant remittances worldwide drop in 2015 for first time since Great Recession. Washington, DC: Fact Tank, Pew Research Center. http://www.pewresearch.org/fact-tank/2016/08/31/migrant-remittances-worldwide-drop-in-2015-for-first-time-since-great-recession/#.

Diemer, M. A., Mistry, R. S., Wadsworth, M. E., López, I., & Reimers, F. (2012). Best practices in conceptualizing and measuring social class in psychological research. Analyses of Social Issues and Public Policy, 13(1), 77–113. https://doi.org/10.1111/asap.12001.CrossRef

Dominguez, S., & Watkins, C. (2003). Creating networks for survival and mobility: social capital among African-American and Latin-American low-income mothers. Social Problems, 50(1), 111–135. https://doi.org/10.1525/sp.2003.50.1.111.CrossRef

Evans, G.W. (2004). The environment of childhood poverty. American Psychologist, 59(2), 77–92.CrossRef

Evans, G. W. (2006). Child development and the physical environment. Annual Review of Psy, 57, 423–451. https://doi.org/10.1146/annurev.psych.57.102904.190057.CrossRef

Evans, G. W., Lepore, S. J., & Allen, K. M. (2000). Cross-cultural differences in tolerance for crowding: fact or fiction? Journal of Personality and Social Psychology, 79(2), 204. https://doi.org/10.1037//0022-3514.79.2.204.CrossRefPubMed

Evans, G. W., Ricciuti, H. N., Hope, S., Schoon, I., Bradley, R. H., & Corwyn, R. F., et al. (2010). Crowding and cognitive development. The mediating role of maternal responsiveness among 36-month-old children. Environment and Behavior, 42(1), 135–148.CrossRef

Foster, E. M., & Kalil, A. (2007). Living arrangements and children’s development in low‐income white, black, and Latino families. Child Development, 78(6), 1657–1674.CrossRef

Fox, L. (2017). The supplemental poverty measure: 2016. Washington, DC: U.S. Census Bureau.

Fuligni, A. J., & Yoshikawa, H. (2003). Socioeconomic resources, parenting, and child development among immigrant families. In M. Bornstein & R. Bradley (Eds.), SES, Parenting, and Child Development (pp. 107–124). Mahwah: Lawrence Erlbaum.

Gershoff, E. (2003). Low income and hardship among America’s kindergarteners. Living at the edge (Research Brief No. 3). New York: National Center for Children in Poverty.

Gershoff, E. T., Aber, J. L., Raver, C. C., & Lennon, M. C. (2007). Income is not enough: Incorporating material hardship into models of income associations with parenting and child development. Child Development, 78(1), 70–95. https://doi.org/10.1111/j.1467-8624.2007.00986.x.CrossRefPubMedPubMedCentral

Haskins, R. (2007). Economic mobility of immigrants in the United States: an initiative by the PEW charitable trust. Washington, DC: Pew Research Center.

Haskett, M., Ahern, L., Ward, C., & Allaire, J. (2006). Factor structure and validity of the Parenting Stress Index-Short Form. Journal of Clinical Child & Adolescent Psychology, 35(2), 302–312. https://doi.org/10.1207/s15374424jccp3502_14.CrossRef

Hustedt, J. T., Vu, J. A., Bargreen, K. N., Hallam, R. A., & Han, M. (2017). Early head start families’ experiences with stress: understanding variations within a high-risk, low-income sample. Infant Mental Health Journal, 38, 602–616. https://doi.org/10.1002/imhj.21667.CrossRefPubMed

Jones Harden, B., Winslow, M. B., Kendziora, K. T., Shahinfar, A., Rubin, K. H., Fox, N. A., et al. (2000). Externalizing problems in Head Start children: An ecological exploration. Early Education and Development, 11(3), 357-385. https://doi.org/10.1207/s15566935eed1103_8.

Love, J. M., Kisker, E. E., Ross, C., Raikes, H., Constantine, J., Boller, K., et al. (2005). The effectiveness of Early Head Start for 3-year-old children and their parents: lessons for policy and programs. Developmental Psychology, 41(6), 885. https://doi.org/10.1037/0012-1649.41.6.885.

Lund, C., Breen, A., Flisher, A. J., Kakuma, R., Corrigall, J., Joska, J. A., et al. (2010). Poverty and common mental disorders in low and middle income countries: a systematic review. Social Science & Medicine, 71(3), 517–528. https://doi.org/10.1016/j.socscimed.2010.04.027.

Mendoza, M. M., Dmitrieva, J., Perreira, K. M., Hurwich-Reiss, E., & Watamura, S. E. (2017). The effects of economic and sociocultural stressors on the well-being of children of Latino immigrants living in poverty. Cultural Diversity and Ethnic Minority Psychology, 23(1), 15. https://doi.org/10.1037/cdp0000111.CrossRefPubMed

Motel, S., & Patten, E. (2012). Hispanics of Mexican origin in the United States, 2010. Washington, DC: Pew Research Center. http://www.pewhispanic.org/2012/06/27/hispanics-of-mexican-origin-in-the-united-states-2010/.

Muthén, L. K., & Muthén, B. O. (1998–2018). Mplus User’s Guide (8th edn). Los Angeles: Muthén & Muthén 2018.

National Research Council. (1995). Measuring poverty: a new approach. Washington, DC: The National Academies Press. 10.17226/4759.

Newland, R. P., Crnic, K. A., Cox, M. J., & Mills-Koonce, W. R. (2013). The family model stress and maternal psychological symptoms: mediated pathways from economic hardship to parenting. Journal of Family Psychology, 27(1), 96. https://doi.org/10.1037/a0031112.CrossRefPubMed

Operario, D., Adler, N. E., & Williams, D. R. (2004). Subjective social status: reliability and predictive utility for global health. Psychology & Health, 19(2), 237–246. https://doi.org/10.1080/08870440310001638098.CrossRef

Parke, R. D., Coltrane, S., Duffy, S., Buriel, R., Dennis, J., Powers, J., & Widaman, K. F. (2004). Economic stress, parenting, and child adjustment in Mexican American and European American families. Child Development, 75(6), 1632–1656. https://doi.org/10.1111/j.14678624.2004.00807.x.CrossRefPubMed

Parker, K., Horowitz, J., & Mahl, B. (2016). On views of race and inequality, Blacks and Whites are worlds apart. Washington, DC: Pew Research Center. http://www.pewsocialtrends.org/2016/06/27/on-views-of-race-and-inequality-blacks-and-whites-are-worlds-apart/.

Patten, E., & Krogstad, J. M. (2015). Black child poverty rate holds steady, even as other groups see declines. Washington, DC: Pew Research Center. http://www.pewresearch.org/fact-tank/2015/07/14/black-child-poverty-rate-holds-steady-even-as-other-groups-see-declines/.

Passel, J. S., & Cohn, D. (2015). Share of unauthorized immigrant workers in production, construction jobs falls since 2007. Washington DC: Pew Research Center Hispanic Trends.

Patten, E. (2016). Racial, gender wage gaps persist in U.S. despite some progress. Washington DC: Pew Research Center. http://www.pewresearch.org/fact-tank/2016/07/01/racial-gender-wage-gaps-persist-in-u-s-despite-some-progress/.

Pew Charitable Trust. (2017). How income volatility interacts with American families’ financial security. An examination of gains, losses, and household economic experiences. Washington, DC: Pew Research Center. http://www.pewtrusts.org/en/research-and-analysis/issue-briefs/2017/03/how-income-volatility-interacts-with-american-families-financial-security.

Radloff, L. S. (1977). The CES-D Scale: a self-report depression scale for research in the general population. Applied Psychological Measures, 1(3), 385–401. https://doi.org/10.1177/014662167700100306.CrossRef

Raikes, H. A., & Thompson, R. A. (2005). Efficacy and social support as predictors of parenting stress among families in poverty. Infant Mental Health Journal, 26(3), 177–190. https://doi.org/10.1002/imhj.20044.CrossRefPubMed

Raver, C. C., Roy, A. L., & Pressler, E. (2015). Struggling to stay afloat: Dynamic models of poverty-related adversity and child outcomes. In P. R. Amato & A. Booth (Eds), Families in an era of increasing inequality (pp. 201–212). University Park, PA: Springer.

Roy, A. L., & Raver, C. C. (2014). Are all risks equal? Early experiences of poverty-related risk and children’s functioning. Journal of Family Psychology, 28(3), 391. https://doi.org/10.1037/a0036683.CrossRefPubMedPubMedCentral

Schmit, S., & Ewen, D. (2012). Supporting our youngest children: Early Head Start programs in 2010 (Brief No. 11). Washington DC: Clasp Policy Solutions.

Solari, C. D., & Mare, R. D. (2012). Housing crowding effects on children’s wellbeing. Social Science Research, 41(2), 464–476. https://doi.org/10.1016/j.ssresearch.2011.09.012.CrossRefPubMed

Spitzer, R. L., Kroenke, K., Williams, J. B., & Löwe, B. (2006). A brief measure for assessing generalized anxiety disorder: the GAD-7. Archives of Internal Medicine, 166(10), 1092–1097. https://doi.org/10.1001/archinte.166.10.1092.CrossRefPubMed

Teti, D. M., Gelfand, D. M., Messinger, D. S., & Isabella, R. (1995). Maternal depression and the quality of early attachment: an examination of infants, preschoolers, and their mothers. Developmental Psychology, 31(3), 364.CrossRef

Wadsworth, M. E., Rindlaub, L., Hurwich-Reiss, E., Rienks, S., Bianco, H., & Markman, H. J. (2013). A longitudinal examination of the adaptation to poverty-related stress model: predicting child and adolescent adjustment over time. Journal of Clinical Child & Adolescent Psychology, 42(5), 713–725. https://doi.org/10.1080/15374416.2012.755926.CrossRef

Wildsmith, E., Ansari, A., & Guzman, L. (2016). Improving data infrastructure to recognize Hispanic diversity in the United States. Bethesda: National Research Center on Hispanic Children and Families. http://www.childtrends.org/wp-content/uploads/2015/06/Measure-Brief_Final.pd.

Whiteside-Mansell, L., Ayoub, C., McKelvey, L., Faldowski, R. A., Hart, A., & Shears, J. (2007). Parenting stress of low-income parents of toddlers and preschoolers: psychometric properties of a short form of the parenting stress index. Parenting: Science and Practice, 7(1), 27–56. https://doi.org/10.1207/s15327922par0701_2.CrossRef

Titel: Beyond Income: Expanding our Empirical Toolkit to Better Predict Caregiver Well-Being
Auteurs: Eliana Hurwich-Reiss
Sarah Enos Watamura
C. Cybele Raver
The BTS Consortium PI’s
Publicatiedatum: 03-01-2019
Uitgeverij: Springer US
Gepubliceerd in: Journal of Child and Family Studies / Uitgave 3/2019
Print ISSN: 1062-1024
Elektronisch ISSN: 1573-2843
DOI: https://doi.org/10.1007/s10826-018-01304-5

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Abstract

Objectives

Methods

Results

Conclusions

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