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Translating multilevel theory into multilevel research: challenges and opportunities for understanding the social determinants of psychiatric disorders

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Abstract

Introduction

The observation that features of the social environment, including family, school, and neighborhood characteristics, are associated with individual-level outcomes has spurred the development of dozens of multilevel or ecological theoretical frameworks in epidemiology, public health, psychology, and sociology, among other disciplines. Despite the widespread use of such theories in etiological, intervention, and policy studies, challenges remain in bridging multilevel theory and empirical research.

Methods

This paper set out to synthesize these challenges and provide specific examples of methodological and analytical strategies researchers are using to gain a more nuanced understanding of the social determinants of psychiatric disorders, with a focus on children’s mental health. To accomplish this goal, we begin by describing multilevel theories, defining their core elements, and discussing what these theories suggest is needed in empirical work. In the second part, we outline the main challenges researchers face in translating multilevel theory into research. These challenges are presented for each stage of the research process. In the third section, we describe two methods being used as alternatives to traditional multilevel modeling techniques to better bridge multilevel theory and multilevel research. These are (1) multilevel factor analysis and multilevel structural equation modeling; and (2) dynamic systems approaches.

Conclusions

Through its review of multilevel theory, assessment of existing strategies, and examination of emerging methodologies, this paper offers a framework to evaluate and guide empirical studies on the social determinants of child psychiatric disorders as well as health across the life course.

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References

  1. Sigerist HE (1961) A history of medicine, vol II. Early greek, hindu, and persian medicine. Oxford University Press, New York

  2. Villerme LR (1988) A description of the physical and moral state of workers employed in cotton, wool, and silk mills. In: Buck C et al (eds) The challenge of epidemiology: issues and selected readings. PAHO/WHO, Washington, DC, pp 33–36

  3. Engels F (1958) The condition of the working class in england. Stanford University Press, Stanford (Transl: OW Henderson, WH Chalones, 1848)

  4. Virchow L (1988) Report on the typhus epidemic in upper silesia. In: Rather LJ (ed) Rudolf Virchow: collected essays on public health and epidemiology. Science History Publications, Canton, pp 205–319

    Google Scholar 

  5. Cassel J (1976) The contribution of the social environment to host resistance. Am J Epidemiol 104:107–123

    CAS  PubMed  Google Scholar 

  6. Doyal L (1979) The political economy of health. Pluto Press, London

    Google Scholar 

  7. Krieger N (2001) Theories for social epidemiology in the 21st century: an ecosocial perspective. Int J Epidemiol 30:668–677

    Article  CAS  PubMed  Google Scholar 

  8. Stokols D (1996) Translating social ecological theory into guidelines for community health promotion. Am J Health Promot 10:282–298

    Article  CAS  PubMed  Google Scholar 

  9. Dahlgren G, Whitehead M (1991) Policies and strategies to promote social equity in health: Background document to WHO—Strategy paper for Europe. Institute for Futures Studies, Stockholm

    Google Scholar 

  10. Bandura A (1986) Social foundations of thought and action: a social cognitive theory. Prentice-Hall Inc, Englewood Cliffs

    Google Scholar 

  11. Sameroff A, Chandler R (1975) Reproductive risk and the continuum of caretaking casualty. In: Horowitz FD (ed) Editor review of child development research. University of Chicago Press, Chicago, pp 187–244

  12. Sameroff A (2010) A unified theory of development: dialectic integration of nature and nurture. Child Dev 81(1):6–22

    Article  PubMed  Google Scholar 

  13. Bronfenbrenner U (1979) The ecology of human development. Harvard University Press, Cambridge

    Google Scholar 

  14. Bronfenbrenner U, Morris PA (2006) The bioecological model of human development. In: Lerner RM (ed) Handbook of child psychology. Wiley, Hoboken, pp 793–828

    Google Scholar 

  15. Tseng V, Seidman E (2007) A systems framework for understanding social settings. Am J Community Psychol 28:217–228

    Article  Google Scholar 

  16. Goodman E et al (2007) Perceived socioeconomic status: a new type of identity that influences adolescents’ self-rated health. J Adolesc Health 41:479–487

    Article  PubMed Central  PubMed  Google Scholar 

  17. Caspi A et al (2010) Genetic sensitivity to the environment: the case of the serotonin transporter gene and its implications for studying complex diseases and traits. Am J Psychiatry 167(5):1–19

    Article  Google Scholar 

  18. Dunn EC et al (2011) Gene–environment interaction (GxE) research in youth depression: a systematic review with recommendations for future research. J Child Psychol Psychiatry 52(12):1223–1238

    Article  PubMed Central  PubMed  Google Scholar 

  19. Boyce WT, Ellis BJ (2005) Biological sensitivity to context: i. An evolutionary-developmental theory of the origins and functions of stress reactivity. Dev Psychopathol 17:271–301

    Article  PubMed  Google Scholar 

  20. McLaughlin KA et al (2010) Developmental origins of emotional reactivity to stress and life course associations with mood and anxiety disorders. Depression Anxiety 27:1087–1094

    Article  PubMed Central  PubMed  Google Scholar 

  21. Luthar SS, Sawyer JA, Brown PJ (2006) Conceptual issues in studies of resilience: past, present, and future research. Ann N Y Acad Sci 1094:105–115

    Article  PubMed Central  PubMed  Google Scholar 

  22. Plomin R, Daniels D (2011) Why are children in the same family so different from one another? Int J Epidemiol 40:563–582

    Article  PubMed Central  PubMed  Google Scholar 

  23. Kendler KS, Baker JH (2007) Genetic influences on measures of the environment: a systematic review. Psychol Med 37:615–626

    Article  PubMed  Google Scholar 

  24. Rutter M et al (2001) Testing hypotheses on specific environmental causal effects on behavior. Psychol Bull 127:291–324

    Article  CAS  PubMed  Google Scholar 

  25. Scarr S, McCartney K (1983) How people make their own environments: a theory of genotype-environment effects. Child Dev 54:424–435

    CAS  PubMed  Google Scholar 

  26. Masten AS, Cicchetti D (2010) Developmental cascades. Dev Psychopathol 22:491–495

    Article  PubMed  Google Scholar 

  27. Lloyd JEV, Li L, Hertzman C (2010) Early experiences matter: lasting effect of concentrated disadvantage on children’s language and cognitive outcomes. Health Place 16:371–380

    Article  PubMed  Google Scholar 

  28. Dunn EC, McLaughlin KA, Slopen N, Rosand J, Smoller JW (2013) Developmental timing of child maltreatment and symptoms of depression and suicidal ideation in young adulthood: results from the National Longitudinal Study of Adolescent Health. Depress Anxiety 30:955–964

    Google Scholar 

  29. Berkman LF, Kawachi I (2000) Social epidemiology. Oxford University Press, New York

    Google Scholar 

  30. Leach LS et al (2013) Relationship quality and levels of depression and anxiety in a large population-based survey. Soc Psychiatry Psychiatr Epidemiol 48(3):417–425

    Google Scholar 

  31. Belsky J, Pleuss M (2009) Beyond diathesis stress: differential susceptibility to environmental influences. Psychol Bull 135:885–908

    Article  PubMed  Google Scholar 

  32. Ellis BJ, Boyce WT (2008) Biological sensitivity to context. Curr Dir Psychol Sci 17:183–187

    Article  Google Scholar 

  33. Richardson J et al (2012) The influence of state mental health perceptions and spending on an individual’s use of mental health services. Social Psychiatry Psychiatric Epidemiol

  34. Sampson RJ, Raudenbush SW (2004) Seeing disorder: neighborhood stigma and the social construction of “Broken Windows”. Social Psychol Q 67:319–342

    Article  Google Scholar 

  35. Mujahid MS et al (2007) Assessing the measurement properties of neighborhood scales: from psychometrics to ecometrics. Am J Epidemiol 165(8):858–867

    Article  PubMed  Google Scholar 

  36. Raudenbush SW, Sampson RJ (1999) Ecometrics: toward a science of assessing ecological settings, with application to the systematic social observation of neighborhoods. Sociol Methodol 29:1–41

    Article  Google Scholar 

  37. Duncan C, Jones K (1993) Do places matter? A multi-level analysis of regional variation in health related behavior in Britain. Soc Sci Med 37:725–733

    Article  CAS  PubMed  Google Scholar 

  38. Mair CF, Diez Roux AV, Galea S (2008) Are neighborhood characteristics associated with depressive symptoms? A critical review. J Epidemiol Community Health 62(11):940–946

    CAS  PubMed  Google Scholar 

  39. Xue Y et al (2005) Neighborhood residence and mental health problems of 5- to 11-year olds. Arch Gen Psychiatry 62:554–563

    Article  PubMed  Google Scholar 

  40. Kim D (2008) Blues from the neighborhood? Neighborhood characteristics and depression. Epidemiol Rev 30:101–117

    Article  CAS  PubMed  Google Scholar 

  41. Odgers CL et al (2012) Systematic social observation of children’s neighborhoods using Google Street View: a reliable and cost-effective method. J Child Psychol Psychiatry 53(10):1009–1017

    Article  PubMed Central  PubMed  Google Scholar 

  42. Campbell E et al (2009) Subjective constructions of neighborhood boundaries: lessons from a qualitative study of four neighborhoods. J Urban Aff 31(4):461–490

    Article  Google Scholar 

  43. Cummings S et al (2007) Understanding and representing “place” in health research: a relational approach. Soc Sci Med 65:1825–1838

    Article  Google Scholar 

  44. Murray DM (1998) Design and analysis of group-randomized trials. Oxford University Press, New York

    Google Scholar 

  45. Leventhal T, Brooks-Gunn J (2003) Moving to opportunity: an experimental study of neighborhood effects on mental health. Am J Public Health 93(9):1576–1582

    Article  PubMed Central  PubMed  Google Scholar 

  46. Kling JR, Liebman JB, Katz LF (2007) Experimental analysis of neighborhood effects. Econometrica 75(1):83–119

    Article  Google Scholar 

  47. Jones SM, Brown JL, Aber JL (2011) Two-year impacts of a universal school-based social-emotional and literacy intervention: an experiment in translational developmental research. Child Dev 82(2):533–554

    Article  PubMed  Google Scholar 

  48. Pianta RC, La Paro K, Hamre BK (2008) Classroom assessment scoring system (CLASS). Paul H. Brookes, Baltimore

    Google Scholar 

  49. Sampson RJ, Raudenbush SW (1999) Systematic social observation of public spaces: a new look at disorder in urban neighborhoods. Am J Sociol 105(3):603–651

    Article  Google Scholar 

  50. Kraemer HC et al (2003) A new approach to integrating data from multiple informants in psychiatric assessment and research: mixing and matching contexts and perspectives. Am J Psychiatry 160(9):1566–1577

    Article  PubMed  Google Scholar 

  51. Diez Roux AV (2002) A glossary for multilevel analysis. J Epidemiol Community Health 56:588–594

    Article  CAS  PubMed  Google Scholar 

  52. Chan D (1998) Functional relations among constructs in the same content domain at different levels of analysis: a typology of composition models. J Appl Psychol 83(2):234–246

    Article  Google Scholar 

  53. Ludtke O et al (2008) The multilevel latent covariate model: a new, more reliable approach to group-level effects in contextual studies. Psychol Methods 13(3):203–229

    Article  PubMed  Google Scholar 

  54. Diez Roux AV (1998) Bringing context back into epidemiology: variables and fallacies in multilevel analysis. Am J Public Health 88(2):216–222

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  55. Raudenbush SW, Bryk AS (2002) Hierarchical linear models: applications and data analysis method, 2nd edn. Sage Publications, Thousand Oaks

    Google Scholar 

  56. Subramanian SV, Jones K, Duncan C (2003) Multilevel methods for public health research. In: Kawachi I, Berkman LF (eds) Neighborhoods and health. Oxford University Press, New York, pp 65–111

    Chapter  Google Scholar 

  57. Goldstein H (1994) Multilevel cross-classified models. Sociol Methods Res 22:364–375

    Article  Google Scholar 

  58. Singer JD, Willett JB (2003) Applied longitudinal data analysis: modeling change and event occurrence. Oxford University Press, New York

    Book  Google Scholar 

  59. Kline RB (2010) Principles and practice of structural equation modeling, 3rd edn. Guilford Press, New York

    Google Scholar 

  60. Brown TA (2006) Confirmatory factor analysis for applied research. Guilford Press, New York

    Google Scholar 

  61. Muthen BO (1991) Multilevel factor analysis of class and student achievement components. J Educ Meas 28(4):338–354

    Article  Google Scholar 

  62. Muthen BO (1994) Multilevel covariance structure analysis. Sociol Methods Res 22:376–398

    Article  Google Scholar 

  63. Hox JJ (2010) Multilevel analysis: techniques and applications, 2nd edn. Routledge, New York

    Google Scholar 

  64. Muthén LK, Muthén BO (2007) Mplus user’s guide, 6th edn. Muthén & Muthén, Los Angeles

  65. Dedrick RF, Greenbaum PE (2011) Multilevel confirmatory factor analysis of a scale measuring interagency collaboration of children’s mental health agencies. J Emot Behav Disord 19:27–40

    Article  PubMed Central  PubMed  Google Scholar 

  66. Reise SP et al (2005) An illustration of multilevel factor analysis. J Pers Assess 84(2):126–136

    Article  PubMed  Google Scholar 

  67. Dunn EC et al Modeling contextual effects using individual-level data and without aggregation: an illustration of multilevel factor analysis (MLFA) with collective efficacy (unpublished)

  68. Sampson RJ, Raudenbush S, Earls F (1997) Neighborhoods and violent crime: a multilevel study of collective efficacy. Science 277:918–924

    Article  CAS  PubMed  Google Scholar 

  69. Marsh HW et al (2009) Doubly-latent models of school contextual effects: integrating multilevel and structural equation approaches to control measurement and sampling error. Multivar Behav Res 44:764–802

    Article  Google Scholar 

  70. MacCallum RC, Austin JT (2000) Applications of structural equation modeling in psychological research. Annu Rev Psychol 51:201–226

    Article  CAS  PubMed  Google Scholar 

  71. Tomarken AJ, Waller NG (2005) Structural equation modeling: strengths, limitations, and misconceptions. Annu Rev Clin Psychol 1:31–65

    Article  PubMed  Google Scholar 

  72. Allen KL, Byrne SM, McLean NJ (2012) The dual-pathway and cognitive-behavioural model of binge eating: prospective evaluation and comparison. Eur J Child Adolesc Psychiatry 21:51–62

    Article  Google Scholar 

  73. Teasdale B, Silver E (2009) Neighborhoods and self-control: toward an expanded view of socialization. Soc Probl 56(1):205–222

    Article  Google Scholar 

  74. Kuntsche E, Kuendig H, Gmel G (2008) Alcohol outlet density, perceived availability and adolescent alcohol use: a multilevel structural equation model. J Epidemiol Community Health 62(9):811–816

    Article  CAS  PubMed  Google Scholar 

  75. Preacher KJ, Zyphur MJ, Zhang Z (2010) A general multilevel SEM framework for assessing multilevel mediation. Psychol Methods 15(3):209–233

    Article  PubMed  Google Scholar 

  76. Galea S, Ahern J (2006) Invited commentary: considerations about specificity of associations, causal pathways, and heterogeneity in multilevel thinking. Am J Epidemiol 163(2):1079–1082

    Article  PubMed  Google Scholar 

  77. DeShon RP (1998) A cautionary note on measurement error corrections in structural equation models. Psychol Methods 3(4):412–423

    Article  Google Scholar 

  78. Homer JB, Hirsch GB (2006) System dynamics modeling for public health: background and opportunities. Am J Public Health 96(3):452–458

    Article  PubMed Central  PubMed  Google Scholar 

  79. Urban JB, Osgood ND, Mabry PL (2011) Developmental systems science: exploring the application of systems science methods to developmental science questions. Res Human Dev 8(1):1–25

    Article  Google Scholar 

  80. Cox MJ et al (2010) Systems theory and cascades in developmental psychopathology. Dev Psychopathol 22(3):497–506

    Article  PubMed  Google Scholar 

  81. Galea S, Riddle M, Kaplan GA (2010) Causal thinking and complex system approaches in epidemiology. Int J Epidemiol 39:97–106

    Article  PubMed Central  PubMed  Google Scholar 

  82. Galea S, Hall C, Kaplan GA (2009) Social epidemiology and complex system dynamic modelling as applied to health behaviour and drug use research. Int J Drug Policy 20:209–216

    Article  PubMed Central  PubMed  Google Scholar 

  83. Mabry PL et al (2008) Interdisciplinarity and systems science to improve population health: a view from the NIH Office of Behavioral and Social Sciences Research. Am J Prev Med 35(2S):S211–S224

    Article  PubMed Central  PubMed  Google Scholar 

  84. Sterman JD (2006) Learning from evidence in a complex world. Am J Public Health 96(3):505–514

    Article  PubMed Central  PubMed  Google Scholar 

  85. Levins R (1996) Ten propositions on science and antiscience. Social Text 46–47(14):101–111

    Article  Google Scholar 

  86. Ziman J (2000) Real science: what it is and what it means. Cambridge University Press, Cambridge, pp 126–134, 144–151

  87. Fleck L (1979) Genesis and development of a scientific fact. University of Chicago Press, Chicago

    Google Scholar 

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Dunn, E.C., Masyn, K.E., Yudron, M. et al. Translating multilevel theory into multilevel research: challenges and opportunities for understanding the social determinants of psychiatric disorders. Soc Psychiatry Psychiatr Epidemiol 49, 859–872 (2014). https://doi.org/10.1007/s00127-013-0809-5

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  • DOI: https://doi.org/10.1007/s00127-013-0809-5

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