Abstract
Purpose
Risk factors for children’s development are multifarious and co-occur, having cumulative as well as individual impacts. Yet common configurations of early childhood risks remain little understood. The current study aimed to identify patterns of early risk exposure and to examine their relationship with diverse outcomes in middle childhood.
Methods
Using latent class analysis in a large, community-based, UK sample (N = 13,699), we examined 13 putative risk factors to identify patterns of exposure.
Results
Four risk configurations were identified: low (65 %), socio-demographic (14 %), family dysfunction (12 %), and multiple (9 %) risk classes. As expected, children in the low risk group fared best on all outcome measures, and those with multiple risk, worst. Importantly, specificity in associations with outcomes emerged, such that cognitive outcomes were predominantly linked with socio-demographic adversities, emotional difficulties with family dysfunction, and conduct problems increased across risk classes.
Conclusions
Better understanding of configurations of childhood risk exposures may help to target resources for children in need.
Similar content being viewed by others
Notes
We acknowledge that examination of the risk factors in question throughout this article cannot identify cause, and so are ‘putative’ risk factors rather than risk factors per se [8]; we refer to ‘risk factors’ in the interests of space.
References
Read J, Bentall RP (2012) Negative childhood experiences and mental health: theoretical, clinical and primary prevention implications. Br J Psychiatry 200:89–91
Walker SP, Wachs TD, Grantham-McGregor S, Black MM, Huffman SL, Baker-Henningham H et al (2011) Inequality in early childhood: risk and protective factors for early child development. Lancet 378:1325–1338
Green JG, McLaughlin KA, Berglund PA, Gruber MJ, Sampson NA, Zaslavsky AM et al (2010) Childhood adversities and adult psychiatric disorders in the National Comorbidity Survey Replication I. Arch Gen Psychiatry 67:113–123
Ezpeleta L, Granero R, de la Osa N, Domenech JM (2008) Risk factor clustering for psychopathology in socially at-risk Spanish children. Soc Psychiatry Psychiatr Epidemiol 43:559–568
Ford T, Goodman R, Meltzer H (2004) The relative importance of child, family, school and neighbourhood correlates of childhood psychiatric disorder. Soc Psychiatry Psychiatr Epidemiol 39:487–496
Essex MJ, Kraemer HC, Armstrong JM, Boyce WT, Goldsmith HH, Klein MH et al (2006) Exploring risk factors for the emergence of children’s mental health problems. Arch Gen Psychiatry 63(11):1246–1256
Kessler RC, Davis CG, Kendler KS (1997) Childhood adversity and adult psychiatric disorder in the US National Comorbidity Survey. Psychol Med 27(05):1101–1119
Kraemer HC, Stice E, Kazdin A, Offord D, Kupfer D (2001) How do risk factors work together? Mediators, moderators, and independent, overlapping, and proxy risk factors. AJP 158(6):848–856
Appleyard K, Egeland B, van Dulmen MHM, Sroufe LA (2005) When more is not better: the role of cumulative risk in child behavior outcomes. J Child Psychol Psychiatry 46(3):235–245
Trentacosta CJ, Hyde LW, Shaw DS, Dishion TJ, Gardner F, Wilson M (2008) The relations among cumulative risk, parenting, and behavior problems during early childhood. J Child Psychol Psychiatry 49(11):1211–1219
Rutter M (1979) Protective factors in children’s responses to stress and disadvantage. AAMS 8(3):324–338
Cicchetti D, Rogosch FA (1996) Equifinality and multifinality in developmental psychopathology. Dev Psychopathol 8:597–600
Lanza ST, Rhoades BL, Nix RL, Greenberg MT (2010) Modeling the interplay of multilevel risk factors for future academic and behavior problems: a person-centered approach. Dev Psychopathol 22(2):313–335
Lanza ST, Rhoades BL, Greenberg MT, Cox M (2011) Modeling multiple risks during infancy to predict quality of the caregiving environment: contributions of a person-centered approach. Infant Behav Dev 34(3):390–406
Copeland W, Shanahan L, Costello EJ, Angold A (2009) Configurations of common childhood psychosocial risk factors. J Child Psychol Psychiatry 50(4):451–459
Dunn V, Abbott R, Croudace T, Wilkinson P, Jones P, Herbert J et al (2011) Profiles of family-focused adverse experiences through childhood and early adolescence: the ROOTS Project, a community investigation of adolescent mental health. BMC Psychiatry 11(1):109
Boyd A, Golding J, Macleod J, Lawlor DA, Fraser A, Henderson J et al (2013) Cohort profile: the ‘Children of the 90s’—index offspring of the Avon Longitudinal Study of Parents and Children. Int J Epidemiol 42(1):111–127
Golding J (2010) Determinants of child health and development: the contribution of ALSPAC—a personal view of the birth cohort study. Arch Dis Child 95:319–322
Fraser A, Macdonald-Wallis C, Tilling K, Boyd A, Golding J, Davey-Smith G et al (2013) Cohort profile: the Avon Longitudinal Study of Parents and Children: ALSPAC mothers. Int J Epidemiol 42(1):97–110
Bowen E, Heron J, Waylen A, Wolke D (2005) Domestic violence risk during and after pregnancy: findings from a British longitudinal study. BJOG 112(8):1083–1089
Carothers AD, Murray L (1990) Estimating psychiatric morbidity by logistic regression: application to post-natal depression in a community sample. Psychol Med 20(03):695–702
Qualifications and Curriculum Authority (2004) Standards at key stage 1: English and Mathematics. Qualifications and Curriculum Authority, London
Wechsler D (1991) The wechsler intelligence scale for children, 3rd edn. The Psychological Corporation, Texas
Goodman R (2001) Psychometric properties of the strengths and difficulties questionnaire. J Am Acad Child Adolesc Psychiatry 40(11):1337–1345
Satorra A, Bentler PM (2001) A scaled difference Chi square test statistic for moment structure analysis. Psychometrika 66:507–514
Rutter M (1985) Family and school influences on cognitive development. J Child Psychol Psychiatry 26:683–704
Kovas Y, Haworth CMA, Dale PS, Plomin R (2007) The genetic and environmental origins of learning abilities and disabilities in the early school years. Monogr Soc Res Child Dev 72:1–144
Hill J (2002) Biological, psychological and social processes in the conduct disorders. J Child Psychol Psychiatry 43:133–164
Sroufe LA, Carlson EA, Levy AK, Egeland B (1999) Implications of attachment theory for developmental psychopathology. Dev Psychopathol 11(1):1–13
Wolke D, Waylen A, Samara M, Steer C, Goodman R, Ford T et al (2009) Selective drop-out in longitudinal studies and non-biased prediction of behaviour disorders. Br J Psychiatry 195:249–256
Ramchandani PG, O’Connor TG, Evans J, Heron J, Murray L, Stein A (2008) The effects of pre- and postnatal depression in fathers: a natural experiment comparing the effects of exposure to depression on offspring. J Child Psychol Psychiatry 49:1069–1078
Masten AS, Best KM, Garmezy N (1990) Resilience and development: contributions from the study of children who overcome adversity. Dev Psychopathol 2(04):425–444
Keller TE, Spieker SJ, Gilchrist L (2005) Patterns of risk and trajectories of preschool problem behaviors: a person-oriented analysis of attachment in context. Dev Psycholpathol 17(2):349–384
Lanza ST, Rhoades BL (2013) Latent class analysis: an alternative perspective on subgroup analysis in prevention and treatment. Prev Sci 14(2):157–168
Acknowledgments
We are extremely grateful to all the families who took part in this study, the midwives for their help in recruiting them, and the whole ALSPAC team, which includes interviewers, computer and laboratory technicians, clerical workers, research scientists, volunteers, managers, receptionists and nurses. The UK Medical Research Council, the Welcome Trust and the University of Bristol provide core support for ALSPAC. This publication is the work of the authors and Dr Bonamy Oliver and Professor Barbara Maughan will serve as guarantors for the contents of this paper. This research was specifically funded by a grant to Barbara Maughan from the UK Medical Research Council (MRC G0500953).
Conflict of interest
On behalf of all authors, the corresponding author states that there is no conflict of interest.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Oliver, B.R., Kretschmer, T. & Maughan, B. Configurations of early risk and their association with academic, cognitive, emotional and behavioural outcomes in middle childhood. Soc Psychiatry Psychiatr Epidemiol 49, 723–732 (2014). https://doi.org/10.1007/s00127-013-0756-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00127-013-0756-1