Abstract
This study explored the developmental trajectory and influencing factors of emotional symptoms in adolescents from economically disadvantaged families. We recruited 444 students from Hunan Province, China, from economically disadvantaged families classified as below the local income threshold, to participate in this study. The participants (165 boys and 279 girls) were ranged from 10 to 15 years, with the average age being 13.61 ± 1.62 year. Follow-up surveys were administered on the first and second year after the original survey in October 2017. Their developmental trajectories were analyzed from an individual-centered perspective using a latent class growth analysis. The 3-steps approach was used to analyze the effects of gender, age, and ecological risks on various classes. Latent class growth analysis favored a three classes solution: C1(resilient class), C2(stable class), and C3(disturbed class). There is population heterogeneity in the developmental trajectories of emotional symptoms among economically disadvantaged adolescents. Individuals with more ecological risk are more likely to belong to the stable class or the disturbed class.
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Data availability
The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
References
Aldam, S. F. S., Keliat, B. A., Wardani, I. Y., Sulistiowati, N. M. D., & Florensa, M. V. A. (2019). Risk factors of mental health in adolescents: Emotional, behavioral, family, and peer relationship problems. Comprehensive Child and Adolescent Nursing, 42(sup1), 284–290.
Arikan, G., Kumru, A., Korkut, B., & Ilhan, A. O. (2019). Examining toddlers’ problem behaviors: The role of SES, parenting stress, perceived support and negative intentionality. Journal of Child and Family Studies, 28(12), 3467–3478.
Armstrong-Carter, E., & Telzer, E. H. (2020). Family meals buffer the daily emotional risk associated with family conflict. Developmental Psychology, 56(11), 2110–2120.
Asparouhov, T., & Muthén, B. (2014). Auxiliary variables in mixture modeling: Three-step approaches using M plus. Structural Equation Modeling: A Multidisciplinary Journal, 21(3), 329–341.
Berlin, K. S., Parra, G. R., & Williams, N. A. (2014). An introduction to latent variable mixture modeling (part 2): Longitudinal latent class growth analysis and growth mixture models. Journal of Pediatric Psychology, 39(2), 188–203.
Bignardi, G., Dalmaijer, E. S., & Astle, D. E. (2022). Testing the specificity of environmental risk factors for developmental outcomes. Child Development, 93(3), e282–e298.
Buehler, C. (2004). Cumulative environmental risk and youth maladjustment: The role of youth attributes. Child Development, 75(6), 1832–1849.
Cho, S., Harper, S. B., & Kim, Y. (2022). Identifying revictimization trajectories among adolescent girls using latent class growth analysis: An examination of state dependence and population heterogeneity. Children and Youth Services Review, 132, 106269.
Coley, R. L., Sims, J., Dearing, E., & Spielvogel, B. (2018). Locating economic risks for adolescent mental and behavioral health: Poverty and affluence in families, neighborhoods, and schools. Child Development, 89(2), 360–369.
Cui, Y., Li, F., Leckman, J. F., Guo, L., Ke, X., Liu, J., Zheng, Y., & Li, Y. (2021). The prevalence of behavioral and emotional problems among Chinese school children and adolescents aged 6–16: A national survey. European Child & Adolescent Psychiatry, 30(2), 233–241.
Deng, S., Lopez, V., Roosa, M. W., Ryu, E., Burrell, G. L., Tein, J. Y., & Crowder, S. (2006). Family processes mediating the relationship of neighborhood disadvantage to early adolescent internalizing problems. The Journal of Early Adolescence, 26(2), 206–231.
Du, Y., Kou, J., & Coghill, D. (2008). The validity, reliability and normative scores of the parent, teacher and self report versions of the Strengths and Difficulties Questionnaire in China. Child and Adolescent Psychiatry and Mental Health, 2(1), 1–15.
Evans, G. W. (2004). The environment of childhood poverty. American Psychologist, 59(2), 77.
Fan, H., Zhu, Z., Miao, L. T., Liu, S., & Zhang, L. (2018). Impact of parents’ marital conflict on adolescent depressive symptoms: A moderated mediation model. Psychological Development and Education, 34(04), 481–488.
Fu, A., Zhang, Z., Zheng, J., Yue, T., Lin, Z., Wu, N., & Huang, X. (2020). Qualitative research on the endogenous power mechanism for poverty elimination. Acta Psychologica Sinica, 52(1), 66–80.
Gard, A. M., McLoyd, V. C., Mitchell, C., & Hyde, L. W. (2020). Evaluation of a longitudinal family stress model in a population-based cohort. Social Development, 29(4), 1155–1175.
Goodman, R., Meltzer, H., & Bailey, V. (1998). The Strengths and Difficulties Questionnaire: A pilot study on the validity of the self-report version. European Child & Adolescent Psychiatry, 7(3), 125–130.
Gorostiaga, A., Aliri, J., Balluerka, N., & Lameirinhas, J. (2019). Parenting styles and internalizing symptoms in adolescence: A systematic literature review. International Journal of Environmental Research and Public Health, 16(17), 3192.
Green, M. J., Stritzel, H., Smith, C., Popham, F., & Crosnoe, R. (2018). Timing of poverty in childhood and adolescent health: Evidence from the US and UK. Social Science & Medicine, 197, 136–143.
Hackman, D. A., Robert, S. A., Grübel, J., Weibel, R. P., Anagnostou, E., Hölscher, C., & Schinazi, V. R. (2019). Neighborhood environments influence emotion and physiological reactivity. Scientific Reports, 9(1), 1–11.
Heleniak, C., King, K. M., Monahan, K. C., & McLaughlin, K. A. (2018). Disruptions in emotion regulation as a mechanism linking community violence exposure to adolescent internalizing problems. Journal of Research on Adolescence, 28(1), 229–244.
Hill, P. L., Burrow, A. L., & Bronk, K. C. (2016). Persevering with positivity and purpose: An examination of purpose commitment and positive affect as predictors of grit. Journal of Happiness Studies, 17(1), 257–269.
Hou, J., & Chen, Z. (2016). The trajectories of adolescent depressive symptoms: Identifying latent subgroups and risk factors. Acta Psychologica Sinica, 48(8), 957.
Li, D. P. (2012). Multiple ecological risk factors and adolescents social adaptation: How risks should be modeled and what are their mechanisms. South China Normal University.
Lindblom, J., Vänskä, M., Flykt, M., Tolvanen, A., Tiitinen, A., Tulppala, M., & Punamäki, R. L. (2017). From early family systems to internalizing symptoms: The role of emotion regulation and peer relations. Journal of Family Psychology, 31(3), 316.
Mackinnon, A. J., Henderson, A. S., Scott, R., & Duncan-Jones, P. (1989). The Parental Bonding Instrument (PBI): An epidemiological study in a general population sample. Psychological Medicine, 19(4), 1023–1034.
Mclaughlin, K. A., & Sheridan, M. A. (2016). Beyond cumulative risk: A dimensional approach to childhood adversity. Current Directions in Psychological Science, 25(4), 239–245.
Ming, H., Jiang, Y., Tian, Y., & Huang, S. (2021). Cumulative Risk and Hopelessness among Chinese Rural-to-Urban Migrant Adolescents. Journal of Child and Family Studies, 30(8), 2016–2027.
Muthén, B., & Shedden, K. (1999). Finite mixture modeling with mixture outcomes using the EM algorithm. Biometrics, 55(2), 463–469.
Nolen-Hoeksema, S., & Aldao, A. (2011). Gender and age differences in emotion regulation strategies and their relationship to depressive symptoms. Personality and Individual Differences, 51(6), 704–708.
Nook, E. C., Sasse, S. F., Lambert, H. K., McLaughlin, K. A., & Somerville, L. H. (2018). The nonlinear development of emotion differentiation: Granular emotional experience is low in adolescence. Psychological Science, 29(8), 1346–1357.
Parker, G., Tupling, H., & Brown, L. B. (1979). A parental bonding instrument. British Journal of Medical Psychology, 52(1), 1–10.
Pate, C. M., Maras, M. A., Whitney, S. D., & Bradshaw, C. P. (2017). Exploring psychosocial mechanisms and interactions: Links between adolescent emotional distress, school connectedness, and educational achievement. School Mental Health, 9(1), 28–43.
Perzow, S. E. D., Bray, B. C., Wadsworth, M. E., Young, J. F., & Hankin, B. L. (2021). Individual differences in adolescent coping: Comparing a community sample and a low-ses sample to understand coping in context. Journal of Youth and Adolescence, 50(4), 693–710.
Rocchino, G. H., Dever, B. V., Telesford, A., & Fletcher, K. (2017). Internalizing and externalizing in adolescence: The roles of academic self-efficacy and gender. Psychology in the Schools, 54(9), 905–917.
Schulz, S., Nelemans, S. A., Oldehinkel, A. J., Meeus, W., & Branje, S. (2021). Examining intergenerational transmission of psychopathology: Associations between parental and adolescent internalizing and externalizing symptoms across adolescence. Developmental Psychology, 57(2), 269.
Silk, J. S., Forbes, E. E., Whalen, D. J., Jakubcak, J. L., Thompson, W. K., Ryan, N. D., Axelson, D. A., Birmaher, B., & Dahl, R. E. (2011). Daily emotional dynamics in depressed youth: A cell phone ecological momentary assessment study. Journal of Experimental Child Psychology, 110(2), 241–257.
Suárez-Orozco, C., Motti-Stefanidi, F., Marks, A., & Katsiaficas, D. (2018). An integrative risk and resilience model for understanding the adaptation of immigrant-origin children and youth. American Psychologist, 73(6), 781–796.
Taylor, J. J., Grant, K. E., Zulauf, C. A., Fowler, P. J., Meyerson, D. A., & Irsheid, S. (2018). Exposure to community violence and the trajectory of internalizing and externalizing symptoms in a sample of low-income urban youth. Journal of Clinical Child & Adolescent Psychology, 47(3), 421–435.
Telzer, E. H., & Fuligni, A. J. (2013). Positive daily family interactions eliminate gender differences in internalizing symptoms among adolescents. Journal of Youth and Adolescence, 42(10), 1498–1511.
Vermunt, J. K. (2010). Latent class modeling with covariates: Two improved three-step approaches. Political Analysis, 18(4), 450–469.
Wang, J. P., Li, D. P., & Zhang, W. (2010). Adolescence’s family financial difficulty and social adaptation: Coping efficacy of compensatory, mediation, and moderation effects. Journal of Beijing Normal University (Social Science Edition), 220(4), 22–32.
Weitkamp, K., & Seiffge-Krenke, I. (2019). The association between parental rearing dimensions and adolescent psychopathology: A cross-cultural study. Journal of Youth and Adolescence, 48(3), 469–483.
Wright, M. O. D., & Masten, A. S. (2005). Resilience processes in development. Handbook of resilience in children (pp. 17–37). Springer.
Xiao, S. Y. (1994). The theoretical basis and Research Application of Social support rating scale. Journal of Clinical Psychiatry, 004(002), 98–100.
Xiong, J., Hai, M., Wang, J., Li, Y., & Jiang, G. (2020). Cumulative risk and mental health in Chinese adolescents: The moderating role of psychological capital. School Psychology International, 41(5), 409–429.
Xv, W. B., Wang, M. C., Deng, J. X., Liu, H. H., Zeng, H., & Yang, W. D. (2019). Reliability generalization for the Chinese version of strengths and difficulties questionnaire. Chinese Journal of Clinical Psychology, 27(01), 67–72.
Ye, X. Q., & Yin, H. D. (2019). From Eradicating Absolute Poverty to Alleviating Relative Poverty: China’s History of Poverty Reduction and Poverty Reduction Strategy after 2020. Reform, 310(12), 5–15.
Yu, C., Zhang, W., Zeng, Y., Ye, T., Li, Y., & Wang, S. (2011). Relationship between adolescents’ gratitude and problem behavior: The mediating role of school connectedness. Psychological Development and Education, 27(4), 92–100.
Yu, M., Xu, Q., Zhu, Y. W., Xu, W., Zhou, N. N., & Wang, J. P. (2017). The Current Status and Predictive factors of internalizing and externalizing symptoms Chinese adolescents. China Journal of Health Psychology, 25(11), 1733–1738.
Yuan, Y. Y., Wang, Z. H., Sun, Q., Wang, D. F., Yin, X. Y., & Li, Z. H. (2022). The Relationship between cumulative Family risk and Emotional Problems among impoverished children: A moderated mediation model. Psychological Development and Education, 38(01), 100–108.
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This research was supported by the National Social Science Fund of China (grant numbers 22BSH161) awarded to Dr. Zhihua Li.
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ZL was mainly responsible for the overall conception, design of this study. YD wrote the manuscript and carried out the statistical analysis. YX, QL, and ZZ were responsible for the questionnaire survey and sorting out.
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This study was performed in line with the principles of the Declaration of Helsinki. The study was reviewed and approved by the Academic Committee of the Ningbo University.
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Dong, Y., Xu, Y., Li, Q. et al. Development trajectories of emotional symptoms in economically disadvantaged adolescents: population heterogeneity and risk factors. Curr Psychol (2022). https://doi.org/10.1007/s12144-022-04037-3
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DOI: https://doi.org/10.1007/s12144-022-04037-3