Using two waves of longitudinal data, we utilized the family stress model of economic hardship to test whether family socioeconomic status is related to adolescent adjustment (substance use and academic achievement) through parental knowledge and adolescent self-regulation (behavioral self-control and delay discounting). Participants included 220 adolescent (55% male, X¯age = 13 years at Wave 1, X¯age = 15 years at Wave 2) and primary caregiver dyads. Results of Structural Equation Modeling revealed significant three-path mediation effects such that low family socioeconomic status at Wave 1 is associated with low parental knowledge at Wave 1, which in turn was related to low academic performance and high substance use at Wave 2 mediated through low adolescent behavioral self-control at Wave 2. The results illustrate how parental knowledge, influenced by family economic status, may play an important role in the development of adolescent behavioral self-control and adjustment.

Appalachian Regional Commission . (2010). The Appalachian region in 2010: A data overview from the 2006-2010 American Community Survey. Retrieved from http://www.arc.gov/assets/research_reports/PRB-DataOverview-2012.pdf
Google Scholar
Arbuckle, J. L. (1996). Full information estimation in the presence of incomplete data. In Marcoulides, G. A., Schumacker, R. E. (Eds.), Advanced structural equation modeling: Issues and techniques (pp. 243-277). Mahwah, NJ: Lawrence Erlbaum.
Google Scholar
Bandura, A., Caprara, G. V., Barbaranelli, C., Pastorelli, C., Regalia, C. (2001). Sociocognitive self-regulatory mechanisms governing transgressive behavior. Journal of Personality and Social Psychology, 80, 125-135. doi:10.1037/0022-3514.80.1.125
Google Scholar | Crossref | Medline | ISI
Bechara, A. (2005). Decision making, impulse control and loss of willpower to resist drugs: A neurocognitive perspective. Nature Neuroscience, 8, 1458-1463. doi:10.1038/nn1584
Google Scholar | Crossref | Medline | ISI
Belle, D. E. (1982). The impact of poverty on social networks and supports. Marriage & Family Review, 5, 89-103. doi:10.1300/J002v05n04_06
Google Scholar | Crossref
Bickel, W. K., Yi, R., Landes, R. D., Hill, P. F., Baxter, C. (2011). Remember the future: Working memory training decreases delay discounting among stimulant addicts. Biological Psychology, 69, 260-265. doi:10.1016/j.biopsych.2010.08.017
Google Scholar | Crossref | ISI
Blair, C. (2010). Stress and the development of self-regulation in context. Child Development Perspectives, 4, 181-188. doi:10.1111/j.1750-8606.2010.00145.x
Google Scholar | Crossref | Medline | ISI
Bowers, E. P., Gestsdottir, S., Geldhof, G. J., Nikitin, J., von Eye, A., Lerner, R. M. (2011). Developmental trajectories of intentional self-regulation in adolescence: The role of parenting and implications for positive and problematic outcomes among diverse youth. Journal of Adolescence, 34, 1193-1206. doi:10.1016/j.adolescence.2011.07.006
Google Scholar | Crossref | Medline | ISI
Brooks-Gunn, J., Duncan, G. J. (1997). The effects of poverty on children. The Future of Children, 7, 55-71. doi:10.2307/1602387
Google Scholar | Crossref | Medline | ISI
Brown, E. C., Catalano, R. F., Fleming, C. B., Haggerty, K. P., Abbott, R. D. (2005). Adolescent substance use outcomes in the Raising Healthy Children Project: A two-part latent growth curve analysis. Journal of Consulting and Clinical Psychology, 73, 699-710. doi:10.1037/0022-006X.73.4.699
Google Scholar | Crossref | Medline | ISI
Browne, M. W., Cudeck, R. (1993). Alternative ways of assessing model fit. In Bollen, K., Long, S. (Eds.), Testing structural equation models (pp. 136-162). Beverly Hills, CA: Sage.
Google Scholar
Carver, C. S. (2005). Impulse and constraint: Perspectives from personality psychology, convergence with theory in other areas, and potential for integration. Personality and Social Psychology Review, 9, 312-333. doi:10.1207/s15327957pspr0904_2
Google Scholar | SAGE Journals | ISI
Casey, B. J., Getz, S., Galvan, A. (2008). The adolescent brain. Developmental Review, 28, 62-77. doi:10.1016/j.dr.2007.08.003
Google Scholar | Crossref | Medline | ISI
Cauffman, E., Shulman, E. P., Steinberg, L., Claus, E., Banich, M. T., Graham, S., Woolard, J. (2010). Age differences in affective decision making as indexed by performance on the Iowa Gambling Task. Developmental Psychology, 46, 193-207. doi:10.1037/a0016128
Google Scholar | Crossref | Medline | ISI
Conger, R. D., Conger, K. J. (2002). Resilience in Midwestern families: Selected findings from the first decade of a prospective, longitudinal study. Journal of Marriage and Family, 64, 361-373. doi:10.1111/j.1741-3737.2002.00361.x
Google Scholar | Crossref | ISI
Conger, R. D., Conger, K. J., Elder, G. H., Lorenz, F. O., Simons, R. L., Whitbeck, L. B. (1992). A family process model of economic hardship and adjustment of early adolescent boys. Child Development, 63, 526-541. doi:10.2307/1131344
Google Scholar | Crossref | Medline | ISI
Conger, R. D., Conger, K. J., Matthews, L. S., Elder, G. H. (1999). Pathways of economic influence on adolescent adjustment. American Journal of Community Psychology, 27, 519-541. doi:10.1023/A:1022133228206
Google Scholar | Crossref | Medline | ISI
Conger, R. D., Donnellan, M. B. (2007). An interactionist perspective on the socioeconomic context of human development. Annual Review of Psychology, 58, 175-199. doi:10.1146/annurev.psych.58.110405.085551
Google Scholar | Crossref | Medline | ISI
Conger, R. D., Wallace, L. E., Sun, Y., Simons, R. L., Loyd, V. C., Brody, G. H. (2002). Economic pressure in African American families: A replication and extension of the family stress model. Developmental Psychology, 38, 179-193. doi:10.1037//0012-1649.38.2.179
Google Scholar | Crossref | Medline | ISI
Coskunpinar, A., Cyders, M. A. (2013). Impulsivity and substance-related attentional bias: A meta-analytic review. Drug and Alcohol Dependence, 133, 1-14. doi:10.1016/j.drugalcdep.2013.05.008
Google Scholar | Crossref | Medline | ISI
Crossley, I. A., Buckner, J. C. (2012). Maternal-related predictors of self-regulation among low-income youth. Journal of Child and Family Studies, 21, 217-227. doi:10.1016/j.adolescence.2011.07.006
Google Scholar | Crossref | ISI
Crouter, A. C., Bumpus, M. F., Davis, K. D., McHale, S. M. (2005). How do parents learn about adolescents’ experiences? Implications for parental knowledge and adolescent risky behavior. Child Development, 76, 869-882. doi:10.1111/j.1467-8624.2005.00883.x
Google Scholar | Crossref | Medline | ISI
Cyders, M. A., Coskunpinar, A. (2011). Measurement of constructs using self-report and behavioral lab tasks: Is there overlap in nomothetic span and construct representation for impulsivity? Clinical Psychology Review, 31, 965-982. doi:10.1016/j.cpr.2011.06.001
Google Scholar | Crossref | Medline | ISI
Cyders, M. A., Coskunpinar, A. (2012). The relationship between self-report and lab task conceptualizations of impulsivity. Journal of Research in Personality, 46, 121-124. doi:10.1016/j.jrp.2011.11.005
Google Scholar | Crossref | ISI
Dembo, M. H., Eaton, M. J. (2000). Self-regulation of academic learning in middle-level schools. The Elementary School Journal, 100, 473-490. doi:10.1086/499651
Google Scholar | Crossref | ISI
Duckworth, A. L., Seligman, M. E. P. (2005). Self-discipline outdoes IQ in predicting academic performance of adolescents. Psychological Science, 16, 939-944. doi:10.1111/j.1467-9280.2005.01641.x
Google Scholar | SAGE Journals | ISI
Duncan, T. E., Duncan, S. A., Alpert, A., Hops, H., Stoolmiller, M., Muthén, B. (1997). Latent variable modeling of longitudinal and multilevel substance use data. Multivariate Behavioral Research, 32, 275-318. doi:10.1207/s15327906mbr3203_3
Google Scholar | Crossref | Medline | ISI
Ellis, B. J., Giudice, M. D., Dishion, T. J., Figueredo, A. J., Gray, P., Griskevicius, V., . . . Wilson, D. S. (2012). The evolutionary basis of risky adolescent behavior: Implications for science, policy, and practice. Developmental Psychology, 48, 598-623. doi:10.1037/a0026220
Google Scholar | Crossref | Medline | ISI
Evans, G. W., English, K. (2003). The environment of poverty: Multiple stressor exposure, psychophysiological stress, and socioemotional adjustment. Child Development, 73, 1238-1248. doi:10.1111/1467-8624.00469
Google Scholar | Crossref | ISI
Evans, G. W., Kim, P. (2013). Childhood poverty, chronic stress, self-regulation, and coping. Child Development Perspectives, 7, 43-48. doi:10.1111/cdep.12013
Google Scholar | Crossref | ISI
Evans, G. W., Rosenbaum, J. (2008). Self-regulation and the income-achievement gap. Early Childhood Research Quarterly, 23, 504-514. doi:10.1016/j.ecresq.2008.07.002
Google Scholar | Crossref | ISI
Finkenauer, C., Engels, R. M. C. E., Baumeister, R. F. (2005). Parenting behaviour and adolescent behavioural and emotional problems: The role of self-control. International Journal of Behavioral Development, 29, 58-69. doi:10.1080/01650250444000333
Google Scholar | SAGE Journals | ISI
Hetherington, E. M., Clingempeel, W. G. (1992). Coping with marital transitions: A family systems perspective. Monographs of the Society for Research in Child Development, 57, 1-14. doi:10.2307/1166050
Google Scholar | Crossref | ISI
Hoff, E., Laursen, B., Tardif, T. (2002). Socioeconomic status and parenting. In Bornstein, M. H. (Ed.), Handbook of parenting (Vol. 2, pp. 231-252). Mahwah, NJ: Lawrence Erlbaum.
Google Scholar
Hu, L.-t., Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55.
Google Scholar | Crossref | ISI
Hussong, A. M., Jones, D. J., Stein, G. L., Baucom, D. H., Boeding, S. (2011). An internalizing pathway to alcohol use and disorder. Psychology of Addictive Behaviors, 25, 390-404. doi:10.1037/a0024519
Google Scholar | Crossref | Medline | ISI
Kerr, M., Stattin, H., Őzdemir, M. (2012). Perceived parenting style and adolescent adjustment: Revisiting directions of effects and the role of parental knowledge. Developmental Psychology, 48, 1540-1553. doi:10.1037/a0027720
Google Scholar | Crossref | Medline | ISI
Kim, J. E., Hetherington, E. M., Reiss, D. (1999). Associations among family relationships, antisocial peers, and adolescents’ externalizing behaviors: Gender and family type differences. Child Development, 70, 1209-1230. doi:10.1111/1467-8624.00088
Google Scholar | Crossref | Medline | ISI
Kim-Spoon, J., McCullough, M. E., Bickel, W. K., Farley, J. P., Longo, G. S. (2015). Longitudinal associations among adolescent religiousness, delay discounting, and substance use initiation in early adolescence. Journal of Research on Adolescence, 25, 36-43. doi:10.1111/jora.12104
Google Scholar | Crossref | Medline | ISI
Kirby, K. N. (2009). One-year temporal stability of delay-discount rates. Psychonomic Bulletin & Review, 16, 457-462. doi:10.3758/PBR.16.3.457
Google Scholar | Crossref | Medline | ISI
Kirby, K. N., Petry, N. M., Bickel, W. K. (1999). Heroin addicts have higher discount rates for delayed rewards than non-drug-using controls. Journal of Experimental Psychology, 128, 78-87. doi:10.1037/0096-3445.128.1.78
Google Scholar | Crossref
Kline, R. B. (1998). Principles and practice of structural equation modeling. New York, NY: Guilford.
Google Scholar
Lengua, L. J. (2002). The contribution of emotionality and self-regulation to the understanding of children’s response to multiple risk. Child Development, 73, 144-161. doi:10.1111/1467-8624.00397
Google Scholar | Crossref | Medline | ISI
Lengua, L. J., Honorado, E., Bush, N. R. (2007). Contextual risk and parenting as predictors of effortful control and social competence in preschool children. Journal of Applied Developmental Psychology, 28, 40-55. doi:10.1016/j.appdev.2006.10.001
Google Scholar | Crossref | Medline | ISI
Lengua, L. J., Kiff, C., Moran, L., Zalewski, M., Thompson, S., Cortes, R., Ruberry, E. (2014). Parenting mediates the effects of income and cumulative risk on the development of effortful control. Social Development, 23, 631-649. doi:10.1111/sode.12071
Google Scholar | Crossref | ISI
Madden, G. J., Bickel, W. K. (2010). Impulsivity: The behavioral and neurological science of discounting. Washington, DC: American Psychological Association.
Google Scholar | Crossref
McLoyd, V. C. (1998). Socioeconomic disadvantage and child development. American Psychologist, 53, 185-204. doi:10.1037/0003-066X.53.2.185
Google Scholar | Crossref | Medline | ISI
Miller, D. C., Byrnes, J. P. (2001). To achieve or not to achieve: A self-regulation perspective on adolescents’ academic decision making. Journal of Educational Psychology, 93, 677-685. doi:10.1037/0022-0663.93.4.677
Google Scholar | Crossref | ISI
Muraven, M., Baumeister, R. F. (2000). Self-regulation and depletion of limited resources: Does self-control resemble a muscle? Psychological Bulletin, 126, 247-259. doi:10.1037/0033-2909.126.2.247
Google Scholar | Crossref | Medline | ISI
Muthén, L. K., Muthén, B. (2010). Mplus user’s guide [Computer software and manual] (6th ed.). Los Angeles, CA: Author.
Google Scholar
Newland, R. P., Crnic, K. A., Cox, M. J., Mills-Koonce, R. (2013). The family model stress and maternal psychological symptoms: Mediated pathways from economic hardship to parenting. Journal of Family Psychology, 27, 96-105. doi:10.1037/a0031112
Google Scholar | Crossref | Medline | ISI
Patock-Peckham, J. A., Cheong, J., Balhorn, M. E., Nagoshi, C. T. (2001). A social learning perspective: A model of parenting styles, self-regulation, perceived drinking control, and alcohol use and problems. Alcoholism: Clinical & Experimental Research, 25, 1284-1292. doi:10.1111/j.1530-0277.2001.tb02349.x
Google Scholar | Crossref | Medline | ISI
Pearson, M. R., Kite, B. A., Henson, J. M. (2013). Predictive effects of good self-control and poor regulation on alcohol-related outcomes: Do protective behavioral strategies mediate? Psychology of Addictive Behaviors, 27, 81-89. doi:10.1037/a0028818
Google Scholar | Crossref | Medline | ISI
Preacher, K. J., Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40, 879-891. doi:10.3758/BRM.40.3.879
Google Scholar | Crossref | Medline | ISI
Shek, D. T. L. (2005). Perceived parental control processes, parent-child relational qualities, and psychological well-being in Chinese adolescents with and without economic disadvantage. The Journal of Genetic Psychology, 166, 177-188. doi:10.1007/s11199-005-7730-7
Google Scholar | Crossref | ISI
Shulman, E. P., Harden, K. P., Chein, J. M., Steinberg, L. (2014). The development of impulse control and sensation-seeking in adolescence: Independent or interdependent processes? Journal of Research on Adolescence. doi: 10.1111/jora.12181
Google Scholar | Crossref | ISI
Solantaus, T., Leinonen, J., Punamäki, R. (2004). Children’s mental health in times of economic recession: Replication and extension of the family economic stress model in Finland. Developmental Psychology, 40, 412-429. doi:10.1037/0012-1649.40.3.412
Google Scholar | Crossref | Medline | ISI
Stautz, K., Cooper, A. (2013). Impulsivity-related personality traits and adolescent alcohol use: A meta-analytic review. Clinical Psychology Review, 33, 574-592. doi:10.1016/j.cpr.2013.03.003
Google Scholar | Crossref | Medline | ISI
Steinberg, L. (2010). A dual systems model of adolescent risk-taking. Developmental Psychobiology, 52, 216-224. doi:10.1002/dev.20445
Google Scholar | Crossref | Medline | ISI
Steinberg, L., Graham, S., O’Brien, L., Woolard, J., Cauffman, E., Banich, M. (2009). Age differences in future orientation and delay discounting. Child Development, 80, 28-44. doi:10.1111/j.1467-8624.2008.01244.x
Google Scholar | Crossref | Medline | ISI
Tangney, J. P., Baumeister, R. F., Boone, A. L. (2004). High self-control predicts good adjustment, less pathology, better grades, and interpersonal success. Journal of Personality, 72, 271-322. doi:10.1111/j.0022-3506.2004.00263.x
Google Scholar | Crossref | Medline | ISI
U.S. Census Bureau . (2007). Poverty thresholds. Retrieved from https://www.census.gov/hhes/www/poverty/data/threshld/thresh07.html
Google Scholar
U.S. Census Bureau . (2011). American Community Survey. Retrieved from http://factfinder2.census.gov/faces/tableservices/jsf/pages/productview.xhtml?pid=ACS_11_1YR_DP05&;prodType=table
Google Scholar
Vazsonyi, A. T., Huang, L. (2010). Where self-control comes from: On the development of self-control and its relationship to deviance over time. Developmental Psychology, 46, 245-257. doi:10.1037/a0016538
Google Scholar | Crossref | Medline | ISI
Walker, D., Greenwood, C., Hart, B., Carta, J. (1994). Prediction of school outcomes based on early language production and socioeconomic factors. Child Development, 65, 606-621. doi:10.2307/1131404
Google Scholar | Crossref | Medline | ISI
Wills, T. A., McNamara, G., Vaccaro, D. (1995). Parental education related to adolescent stress-coping and substance use: Development of a meditational model. Healthy Psychology, 14, 464-478. doi:10.1037/0278-6133.14.5.464
Google Scholar | Crossref | Medline | ISI
Wills, T. A., Resko, J. A., Ainette, M. G., Mendoza, D. (2004). Role of parent support and peer support in adolescent substance use: A test of mediated effects. Psychology of Addictive Behaviors, 18, 122-134. doi:10.1037/0893-164X.18.2.122
Google Scholar | Crossref | Medline | ISI
Wills, T. A., Walker, C., Mendoza, D., Ainette, M. G. (2006). Behavioral and emotional self-control: Relations to substance use in samples of middle and high school students. Psychology of Addictive Behaviors, 20, 265-278. doi:10.1037/0893-164X.20.3.265
Google Scholar | Crossref | Medline | ISI
Wills, T. A., Yaeger, A. M. (2003). Family factors and adolescent substance use: Models and mechanisms. Current Directions in Psychological Science, 12, 222-226. doi:10.1046/j.0963-7214.2003.01266.x
Google Scholar | SAGE Journals | ISI
Zwick, R., Green, J. G. (2007). New perspectives on the correlation of SAT scores, high school grades, and socioeconomic factors. Journal of Educational Measurement, 44, 23-45. doi:10.1111/j.1745-3984.2007.00025.x
Google Scholar | Crossref | ISI

Author Biographies

Julee P. Farley is a research coordinator in psychology at the Virginia Polytechnic Institute and State University. Her interests include the development of self-regulation as well as social influences on development during adolescence.

Jungmeen Kim-Spoon is an associate professor of psychology at the Virginia Polytechnic Institute and State University. Her research interests include risk and protective factors in the development of psychopathology during adolescence.

View access options

My Account

Welcome
You do not have access to this content.



Chinese Institutions / 中国用户

Click the button below for the full-text content

请点击以下获取该全文

Institutional Access

does not have access to this content.

Purchase Content

24 hours online access to download content

Your Access Options


Purchase

JEA-article-ppv for $36.00

Article available in: