References
- 강영주, 정광호. (2012). 한국사회의소득불평등과 건강에 관한 실증연구. 한국행정학보, 46(4), 265-291.
- 강현아. (2010). 빈곤이 위험한 지역사회 환경을 통해 청소년의 우울 및 불안에 미치는 영향. 사회복지연구, 41(3), 327-348.
- 김광일, 김재환, 원호택. (1984). 간이정신진단검사 실시 요강. 서울: 중앙적성출판사, 1-39.
- 김동진 외 10명. (2013). 한국의 건강불평등 지표와 정책과제(Developing health inequalities indicators and monitoring the status of health inequalities in Korea). 한국보건사회연구원, 1-567.
- 김보은 외 5명. (2015). 고등학생의 우울 및 스트레스와 건강위험행위와의 관련성. 한국학교지역 보건교육학회지, 16(2), 69-87.
- 김세원. (2009). 지역사회특성이 청소년의 심리사회적 적응에 미치는 영향. 한국아동복지학(28), 101-135.
- 김정현, 천성수. (2016). 청소년 자녀의 건강관련 삶의 질에 대한 부모와 자녀의 인식차이가 청소년 우울에 미치는 영향. 한국학교지역보건교육학회지, 17(2), 1-16.
- 박다혜, 장숙랑. (2013). 부모의 사회 경제적 지위가 청소년의 스트레스, 우울, 자살생각에 미치는 영향. 한국산학기술학회 논문지, 14(6), 2667-2676.
- 보건복지부 중앙자살예방센터. (2018). 2018 자살 예방백서. 서울: 보건복지부.
- 백학영. (2007). 지역의 사회경제적 특성이 빈곤에 미치는 영향.[박사학위논문]. 서울: 서울대학교 대학원.
- 조정아. (2009). 선형모형을 적용한 청소년의 우울 변화에 관한 종단연구: 변화경향과 개인차에 대한 성별 부모 또래 교사 요인 검증. 한국청소년연구, 20(3), 167-192.
- 최유정, 김혜영. (2018). 청소년의 주관적 건강 상태의 변화 궤적과 영향 요인. Child Health Nursing Research, 24(4), 496-505. https://doi.org/10.4094/chnr.2018.24.4.496
- 황성희, 계승희. (2018). 한국 청소년의 주관적 건강상태에 영향을 미치는 요인 분석: 가정환경, 건강행태, 심리적 요인 및 식습관. 한국학교지역 보건교육학회지, 19(1), 27-45.
- 황여정. (2008). 고등학생의 학업 스트레스 지각수준에 영향을 미치는 요인. 한국청소년연구, 19(3), 85-114.
- Ahn DH. (2009). Mental Disorders in Adolescents. Korean Med Assoc, 52(8), 745-757. https://doi.org/10.5124/jkma.2009.52.8.745
- Aneshensel CS, Sucoff CA. (1996). The neighborhood context of adolescent mental health. Journal of health social behavior, 293-310.
- Baker LA, Mutchler JE. (2010). Poverty and material hardship in grandparent headed households. Journal of Marriage Family, 72(4), 947-962. https://doi.org/10.1111/j.1741-3737.2010.00741.x
- Bernburg JG, Thorlindsson T, Sigfusdottir ID. (2009). Relative deprivation and adolescent outcomes in Iceland: A multilevel test. Social forces, 87(3), 1223-1250. https://doi.org/10.1353/sof.0.0177
- Cubbin C, Egerter S, Braveman P, Pedregon V. (2008). Where we live matters for our health: Neighborhoods and health.
- Curran PJ, McGinley JS, Serrano D, Burfeind, C. (2012). A multivariate growth curve model for three-level data. In HM. Cooper & American Psychological Association (Eds.), APA handbook of research methods in psychology (pp. 335-358). Washington, DC: American Psychological Association.
- Deb S, Strodl E, Sun J. (2015). Academics tress, parental pressure, anxiety and mental health among Indian high school students. International Journal of Psychology Behavioral Sciences, 5(1), 26-34.
- Dormann CF, et al. (2013). Collinearity: a review of methods to deal with it and a simulation study evaluating their performance. Ecography, 36(1), 27-46. https://doi.org/10.1111/j.1600-0587.2012.07348.x
- Duncan TE, Duncan SC, Strycker LA. (2006). An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Applications. Lawrence Erlbaum.
- Elgar FJ, Craig W, Boyce W, Morgan A, Vella-Zarb R. (2009). Income inequality and school bullying: multilevel study of adolescents in 37 countries. Journal of Adolescent Health, 45(4), 351-359. https://doi.org/10.1016/j.jadohealth.2009.04.004
- Fitzpatrick KM, Wright DR, Piko BF, LaGory M. (2005). Depressive symptomatology, exposure to violence, and the role of social capital among African American adolescents. American Journal of Orthopsychiatry, 75(2), 262-274. https://doi.org/10.1037/0002-9432.75.2.262
- Garber J, Keiley MK, Martin NC. (2002). Developmental trajectories of adolescents' depressive symptoms: Predictors of change. Journal of consulting clinical psychology, 70(1), 79. https://doi.org/10.1037/0022-006X.70.1.79
- Gephart MA. (1997). Neighborhoods and communities as contexts for development, In J. Brooks-Gunn, G. Duncan, & JL. Aber (Eds.) Neighborhood poverty: Context and Consequences for Children (pp. 1-43). New York: Russel Sage Foundation.
- Goodman E, Slap GB, Huang B. (2003). The public health impact of socioeconomic status on adolescent depression and obesity. American journal of public health, 93(11), 1844-1850. https://doi.org/10.2105/AJPH.93.11.1844
- Hu Lt, Bentler PM. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: a multidisciplinary journal, 6(1), 1-55. https://doi.org/10.1080/10705519909540118
- Kawachi I, Kennedy BP, Lochner K, Prothrow-Stith D. (1997). Social capital, income inequality, and mortality. American journal of public health, 87(9), 1491-1498. https://doi.org/10.2105/AJPH.87.9.1491
- Levenstien MA, Yang Y, Ott J. (2003). Statistical significance for hierarchical clustering in genetic association and microarray expression studies. BMC Bioinformatics, 4(1), 62. https://doi.org/10.1186/1471-2105-4-62
- Leventhal T, Brooks-Gunn J. (2000). The neighborhoods they live in: the effects of neighborhood residence on child and adolescent outcomes. American journal of public health, 126(2), 309.
- Meadows SO, Brown JS, Elder GH. (2006). Depressive symptoms, stress, and support: Gendered trajectories from adolescence to young adulthood. Journal of Youth Adolescence, 35(1), 89-99. https://doi.org/10.1007/s10964-005-9021-6
- Michael E, Diener E. (2004). Global judgments of subjective well-being: Situational variability and long-term stability. Social indicators research, 65(3), 245-277. https://doi.org/10.1023/B:SOCI.0000003801.89195.bc
- Nettles SM, Pleck JH. (1994). Risk, resilience, and development: The multiple ecologies of black adolescents in the United States. Stress, risk, resilience in children adolescents: Processes, mechanisms, interventions, (pp.147-181). New York, NY: Cambridge University Press.
- Park HY, Heo J, Subramanian S, Kawachi I, Oh J. (2012). Socioeconomic inequalities in adolescent depression in South Korea: a multilevel analysis. PloS one, 7(10), 1-7.
- Quesnel-Vallee A, Taylor M. (2012). Socioeconomic pathways to depressive symptoms in adulthood: evidence from the National Longitudinal Survey of Youth 1979. Social science medicine, 74(5), 734-743. https://doi.org/10.1016/j.socscimed.2011.10.038
- Steptoe A, Tsuda A, Tanaka Y. (2007). Depressive symptoms, socio-economic background, sense of control, and cultural factors in university students from 23 countries. International journal of behavioral medicine, 14(2), 97-107. https://doi.org/10.1007/BF03004175